[{"question": "WHAT IS THE STRENGTH OF THE MEDICINE LASIX TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 110186", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE STRENGTH OF THE MEDICINE LASIX TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 110186\n# SQLQuery:\n"}, {"question": "WHAT IS THE DOSAGE OF ONDANSETRON PRESCRIBED TO THE PATIENT WITH ADMISSION ID 106334", "goldSQL": "SELECT PRESCRIPTIONS.DOSE_VAL_RX, PRESCRIPTIONS.DOSE_UNIT_RX FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 106334 AND PRESCRIPTIONS.DRUG = \"ONDANSETRON\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\n# Question: WHAT IS THE DOSAGE OF ONDANSETRON PRESCRIBED TO THE PATIENT WITH ADMISSION ID 106334\n# SQLQuery:\n"}, {"question": "WHAT IS THE DOSE OF ACETAMINOPHEN THAT THE PATIENT WITH ADMISSION ID = 112342 HAS BEEN PRESCRIBED", "goldSQL": "SELECT PRESCRIPTIONS.DOSE_VAL_RX, PRESCRIPTIONS.DOSE_UNIT_RX FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 112342 AND PRESCRIPTIONS.DRUG = \"ACETAMINOPHEN\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\n# Question: WHAT IS THE DOSE OF ACETAMINOPHEN THAT THE PATIENT WITH ADMISSION ID = 112342 HAS BEEN PRESCRIBED\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG STRENGTH OF ENOXAPARIN PRESCRIBED TO THE PATIENT WITH ADMISSION ID 102068", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\n# Question: WHAT IS THE DRUG STRENGTH OF ENOXAPARIN PRESCRIBED TO THE PATIENT WITH ADMISSION ID 102068\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG STRENGTH OF ACETAMINOPHEN PRESCRIBED TO THE PATIENT WITH ADMISSION ID 123589", "goldSQL": "SELECT PRESCRIPTIONS.PROD_STRENGTH FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 123589 AND PRESCRIPTIONS.DRUG = \"ACETAMINOPHEN\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT IS THE DRUG STRENGTH OF ACETAMINOPHEN PRESCRIBED TO THE PATIENT WITH ADMISSION ID 123589\n# SQLQuery:\n"}, {"question": "WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG DOCUSATE SODIUM INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 116966", "goldSQL": "SELECT PRESCRIPTIONS.ROUTE FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 116966 AND PRESCRIPTIONS.DRUG = \"DOCUSATE SODIUM\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\n# Question: WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG DOCUSATE SODIUM INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 116966\n# SQLQuery:\n"}, {"question": "WHAT WAS THE DOSAGE OF BENZONATATE THAT WAS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 111447", "goldSQL": "SELECT PRESCRIPTIONS.DOSE_VAL_RX, PRESCRIPTIONS.DOSE_UNIT_RX FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 111447 AND PRESCRIPTIONS.DRUG = \"BENZONATATE\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT WAS THE DOSAGE OF BENZONATATE THAT WAS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 111447\n# SQLQuery:\n"}, {"question": "WHAT IS THE ROUTE OF ADMINISTRATION OF THE DRUG ATENOLOL FOR PATIENT WITH ADMISSION ID 178331", "goldSQL": "SELECT PRESCRIPTIONS.ROUTE FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 178331 AND PRESCRIPTIONS.DRUG = \"ATENOLOL\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}\n\n# Question: WHAT IS THE ROUTE OF ADMINISTRATION OF THE DRUG ATENOLOL FOR PATIENT WITH ADMISSION ID 178331\n# SQLQuery:\n"}, {"question": "MENTION THE ROUTE OF ADMINISTRATION FOR THE MEDICINE TRAMADOL RECOMMENDED TO THE PATIENT WITH ADMISSION ID = 102698", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\n# Question: MENTION THE ROUTE OF ADMINISTRATION FOR THE MEDICINE TRAMADOL RECOMMENDED TO THE PATIENT WITH ADMISSION ID = 102698\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG INTENSITY OF LORATADINE GIVEN TO THE PATIENT WITH AN ADMISSION ID = 105614", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE DRUG INTENSITY OF LORATADINE GIVEN TO THE PATIENT WITH AN ADMISSION ID = 105614\n# SQLQuery:\n"}, {"question": "WHAT IS THE DOSE OF VENLAFAXINE THAT THE PATIENT WITH ADMISSION ID = 106993 HAS BEEN PRESCRIBED", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE DOSE OF VENLAFAXINE THAT THE PATIENT WITH ADMISSION ID = 106993 HAS BEEN PRESCRIBED\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG STRENGTH OF ACETAMINOPHEN PRESCRIBED TO THE PATIENT WITH ADMISSION ID 100590", "goldSQL": "SELECT PRESCRIPTIONS.PROD_STRENGTH FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 100590 AND PRESCRIPTIONS.DRUG = \"ACETAMINOPHEN\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\n# Question: WHAT IS THE DRUG STRENGTH OF ACETAMINOPHEN PRESCRIBED TO THE PATIENT WITH ADMISSION ID 100590\n# SQLQuery:\n"}, {"question": "WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG POLYVINYL ALCOHOL-POVIDONE INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 105088", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG POLYVINYL ALCOHOL-POVIDONE INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 105088\n# SQLQuery:\n"}, {"question": "WHAT IS THE FORM OF FLOVENT PRESCRIBED TO THE PATIENT WITH ADMISSION ID 114976", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE FORM OF FLOVENT PRESCRIBED TO THE PATIENT WITH ADMISSION ID 114976\n# SQLQuery:\n"}, {"question": "WHAT WAS THE DOSAGE OF ENOXAPARIN THAT WAS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 189637", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\n# Question: WHAT WAS THE DOSAGE OF ENOXAPARIN THAT WAS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 189637\n# SQLQuery:\n"}, {"question": "WHAT WAS THE DOSAGE OF METRONIDAZOLE THAT WAS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 112832", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\n# Question: WHAT WAS THE DOSAGE OF METRONIDAZOLE THAT WAS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 112832\n# SQLQuery:\n"}, {"question": "HOW LONG HAS THE PATIENT WITH ADMISSION ID = 109770 BEEN TAKING LEVAQUIN", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\n# Question: HOW LONG HAS THE PATIENT WITH ADMISSION ID = 109770 BEEN TAKING LEVAQUIN\n# SQLQuery:\n"}, {"question": "WHAT IS THE FORM OF OMEPRAZOLE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 168831", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT IS THE FORM OF OMEPRAZOLE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 168831\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG INTENSITY OF ZOLPIDEM GIVEN TO THE PATIENT WITH AN ADMISSION ID = 105050", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE DRUG INTENSITY OF ZOLPIDEM GIVEN TO THE PATIENT WITH AN ADMISSION ID = 105050\n# SQLQuery:\n"}, {"question": "MENTION THE DRUG INTENSITY OF ZOSYN PRESCRIBED TO THE PATIENT WHOSE ADMISSION ID IS 111923", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\n# Question: MENTION THE DRUG INTENSITY OF ZOSYN PRESCRIBED TO THE PATIENT WHOSE ADMISSION ID IS 111923\n# SQLQuery:\n"}, {"question": "MENTION THE FORM OF ATORVASTATI N TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 149614", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\n# Question: MENTION THE FORM OF ATORVASTATI N TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 149614\n# SQLQuery:\n"}, {"question": "PLEASE SPECIFY IF THE MEDICINE PREDNISONE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 103315 IS IN THE FORM OF TABLET, CAPSULE, SYRUP OR IN ANY OTHER FORM", "goldSQL": "SELECT PRESCRIPTIONS.FORM_UNIT_DISP FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 103315 AND PRESCRIPTIONS.DRUG = \"PREDNISONE\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\n# Question: PLEASE SPECIFY IF THE MEDICINE PREDNISONE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 103315 IS IN THE FORM OF TABLET, CAPSULE, SYRUP OR IN ANY OTHER FORM\n# SQLQuery:\n"}, {"question": "WHAT WAS THE DOSAGE OF METHYL SALICYLATE-MENTHOL THAT WAS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 105088", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\n# Question: WHAT WAS THE DOSAGE OF METHYL SALICYLATE-MENTHOL THAT WAS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 105088\n# SQLQuery:\n"}, {"question": "WHAT IS THE DOSE OF FLUID THAT THE PATIENT WITH ADMISSION ID = 185289 HAS BEEN PRESCRIBED", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'D_LABITEMS' has columns: ROW_ID (INTEGER), ITEMID (INTEGER), LABEL (VARCHAR), FLUID (VARCHAR), CATEGORY (VARCHAR), LOINC_CODE (VARCHAR), . The table is: This table contains information about various laboratory items, including their fluid, category and loinc code.{'ROW_ID': 546, 'ITEMID': 51346, 'LABEL': 'BLASTS', 'FLUID': 'CEREBROSPINAL FLUID (CSF)', 'CATEGORY': 'HEMATOLOGY', 'LOINC_CODE': '26447-3'}\n\n# Question: WHAT IS THE DOSE OF FLUID THAT THE PATIENT WITH ADMISSION ID = 185289 HAS BEEN PRESCRIBED\n# SQLQuery:\n"}, {"question": "FOR THE PATIENT HAVING AN ADMISSION ID = 111341, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR LASIX", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'D_LABITEMS' has columns: ROW_ID (INTEGER), ITEMID (INTEGER), LABEL (VARCHAR), FLUID (VARCHAR), CATEGORY (VARCHAR), LOINC_CODE (VARCHAR), . The table is: This table contains information about various laboratory items, including their fluid, category and loinc code.{'ROW_ID': 546, 'ITEMID': 51346, 'LABEL': 'BLASTS', 'FLUID': 'CEREBROSPINAL FLUID (CSF)', 'CATEGORY': 'HEMATOLOGY', 'LOINC_CODE': '26447-3'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: FOR THE PATIENT HAVING AN ADMISSION ID = 111341, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR LASIX\n# SQLQuery:\n"}, {"question": "MENTION THE FORM OF VALGANCICLOVIR TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 122093", "goldSQL": "SELECT PRESCRIPTIONS.FORM_UNIT_DISP FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 122093 AND PRESCRIPTIONS.DRUG = \"VALGANCICLOVIR\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\n# Question: MENTION THE FORM OF VALGANCICLOVIR TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 122093\n# SQLQuery:\n"}, {"question": "WHAT IS THE STRENGTH OF THE MEDICINE FEXOFENADINE-PSEUDOEPHEDRINE TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 135234", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT IS THE STRENGTH OF THE MEDICINE FEXOFENADINE-PSEUDOEPHEDRINE TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 135234\n# SQLQuery:\n"}, {"question": "FOR THE PATIENT HAVING AN ADMISSION ID = 115737, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR LAVAGE", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'D_LABITEMS' has columns: ROW_ID (INTEGER), ITEMID (INTEGER), LABEL (VARCHAR), FLUID (VARCHAR), CATEGORY (VARCHAR), LOINC_CODE (VARCHAR), . The table is: This table contains information about various laboratory items, including their fluid, category and loinc code.{'ROW_ID': 546, 'ITEMID': 51346, 'LABEL': 'BLASTS', 'FLUID': 'CEREBROSPINAL FLUID (CSF)', 'CATEGORY': 'HEMATOLOGY', 'LOINC_CODE': '26447-3'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: FOR THE PATIENT HAVING AN ADMISSION ID = 115737, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR LAVAGE\n# SQLQuery:\n"}, {"question": "WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG CALCIUM CARBONATE INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 104095", "goldSQL": "SELECT PRESCRIPTIONS.ROUTE FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 104095 AND PRESCRIPTIONS.DRUG = \"CALCIUM CARBONATE\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG CALCIUM CARBONATE INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 104095\n# SQLQuery:\n"}, {"question": "MENTION THE FORM OF METOPROLOL TARTRATE TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 106967", "goldSQL": "SELECT PRESCRIPTIONS.FORM_UNIT_DISP FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 106967 AND PRESCRIPTIONS.DRUG = \"METOPROLOL TARTRATE\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\n# Question: MENTION THE FORM OF METOPROLOL TARTRATE TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 106967\n# SQLQuery:\n"}, {"question": "WHAT IS THE STRENGTH OF THE MEDICINE MAGNESIUM HYDROXIDE TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 126085", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE STRENGTH OF THE MEDICINE MAGNESIUM HYDROXIDE TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 126085\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG INTENSITY OF CELLEPT GIVEN TO THE PATIENT WITH AN ADMISSION ID = 105014", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\n# Question: WHAT IS THE DRUG INTENSITY OF CELLEPT GIVEN TO THE PATIENT WITH AN ADMISSION ID = 105014\n# SQLQuery:\n"}, {"question": "WHAT IS THE DOSAGE OF NOVOLIN R PRESCRIBED TO THE PATIENT WITH ADMISSION ID 192002", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\n# Question: WHAT IS THE DOSAGE OF NOVOLIN R PRESCRIBED TO THE PATIENT WITH ADMISSION ID 192002\n# SQLQuery:\n"}, {"question": "FOR THE PATIENT HAVING AN ADMISSION ID = 152311, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR LASIX", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'D_LABITEMS' has columns: ROW_ID (INTEGER), ITEMID (INTEGER), LABEL (VARCHAR), FLUID (VARCHAR), CATEGORY (VARCHAR), LOINC_CODE (VARCHAR), . The table is: This table contains information about various laboratory items, including their fluid, category and loinc code.{'ROW_ID': 546, 'ITEMID': 51346, 'LABEL': 'BLASTS', 'FLUID': 'CEREBROSPINAL FLUID (CSF)', 'CATEGORY': 'HEMATOLOGY', 'LOINC_CODE': '26447-3'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: FOR THE PATIENT HAVING AN ADMISSION ID = 152311, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR LASIX\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG STRENGTH OF ZOFRAN PRESCRIBED TO THE PATIENT WITH ADMISSION ID 105014", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\n# Question: WHAT IS THE DRUG STRENGTH OF ZOFRAN PRESCRIBED TO THE PATIENT WITH ADMISSION ID 105014\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG INTENSITY OF LASIX GIVEN TO THE PATIENT WITH AN ADMISSION ID = 115464", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE DRUG INTENSITY OF LASIX GIVEN TO THE PATIENT WITH AN ADMISSION ID = 115464\n# SQLQuery:\n"}, {"question": "FOR THE PATIENT HAVING AN ADMISSION ID = 106961, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR TORSEMIDE", "goldSQL": "SELECT PRESCRIPTIONS.ROUTE FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 106961 AND PRESCRIPTIONS.DRUG = \"TORSEMIDE\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\n# Question: FOR THE PATIENT HAVING AN ADMISSION ID = 106961, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR TORSEMIDE\n# SQLQuery:\n"}, {"question": "MENTION THE FORM OF PORCINE TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 114585", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\n# Question: MENTION THE FORM OF PORCINE TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 114585\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG INTENSITY OF TOPROL XL GIVEN TO THE PATIENT WITH AN ADMISSION ID = 183783", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\n# Question: WHAT IS THE DRUG INTENSITY OF TOPROL XL GIVEN TO THE PATIENT WITH AN ADMISSION ID = 183783\n# SQLQuery:\n"}, {"question": "MENTION THE ROUTE OF ADMINISTRATION FOR THE MEDICINE FENTANYL RECOMMENDED TO THE PATIENT WITH ADMISSION ID = 112342", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: MENTION THE ROUTE OF ADMINISTRATION FOR THE MEDICINE FENTANYL RECOMMENDED TO THE PATIENT WITH ADMISSION ID = 112342\n# SQLQuery:\n"}, {"question": "MENTION THE FORM OF CYANOCOBALAMIN TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 104665", "goldSQL": "SELECT PRESCRIPTIONS.FORM_UNIT_DISP FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 104665 AND PRESCRIPTIONS.DRUG = \"CYANOCOBALAMIN\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\n# Question: MENTION THE FORM OF CYANOCOBALAMIN TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 104665\n# SQLQuery:\n"}, {"question": "WHAT IS THE FORM OF FAMOTIDINE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 106967", "goldSQL": "SELECT PRESCRIPTIONS.FORM_UNIT_DISP FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 106967 AND PRESCRIPTIONS.DRUG = \"FAMOTIDINE\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\n# Question: WHAT IS THE FORM OF FAMOTIDINE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 106967\n# SQLQuery:\n"}, {"question": "WHAT IS THE DOSAGE OF QUETIAPINE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 168831", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\n# Question: WHAT IS THE DOSAGE OF QUETIAPINE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 168831\n# SQLQuery:\n"}, {"question": "WHAT IS THE FORM OF ASPIRI N PRESCRIBED TO THE PATIENT WITH ADMISSION ID 125206", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\n# Question: WHAT IS THE FORM OF ASPIRI N PRESCRIBED TO THE PATIENT WITH ADMISSION ID 125206\n# SQLQuery:\n"}, {"question": "MENTION THE FORM OF POTASSIUM CHLORIDE TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 108754", "goldSQL": "SELECT PRESCRIPTIONS.FORM_UNIT_DISP FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 108754 AND PRESCRIPTIONS.DRUG = \"POTASSIUM CHLORIDE\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\n# Question: MENTION THE FORM OF POTASSIUM CHLORIDE TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 108754\n# SQLQuery:\n"}, {"question": "WHAT IS THE DOSAGE OF IPRATROPIUM BROMIDE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 121702", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\n# Question: WHAT IS THE DOSAGE OF IPRATROPIUM BROMIDE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 121702\n# SQLQuery:\n"}, {"question": "WHAT IS THE STRENGTH OF THE MEDICINE WARFARIN TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 126085", "goldSQL": "SELECT PRESCRIPTIONS.PROD_STRENGTH FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 126085 AND PRESCRIPTIONS.DRUG = \"WARFARIN\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT IS THE STRENGTH OF THE MEDICINE WARFARIN TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 126085\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG INTENSITY OF SENNA GIVEN TO THE PATIENT WITH AN ADMISSION ID = 139955", "goldSQL": "SELECT PRESCRIPTIONS.PROD_STRENGTH FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 139955 AND PRESCRIPTIONS.DRUG = \"SENNA\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE DRUG INTENSITY OF SENNA GIVEN TO THE PATIENT WITH AN ADMISSION ID = 139955\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG STRENGTH OF LYSINE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 112520", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\nTable 'D_LABITEMS' has columns: ROW_ID (INTEGER), ITEMID (INTEGER), LABEL (VARCHAR), FLUID (VARCHAR), CATEGORY (VARCHAR), LOINC_CODE (VARCHAR), . The table is: This table contains information about various laboratory items, including their fluid, category and loinc code.{'ROW_ID': 546, 'ITEMID': 51346, 'LABEL': 'BLASTS', 'FLUID': 'CEREBROSPINAL FLUID (CSF)', 'CATEGORY': 'HEMATOLOGY', 'LOINC_CODE': '26447-3'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT IS THE DRUG STRENGTH OF LYSINE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 112520\n# SQLQuery:\n"}, {"question": "WHAT IS THE DOSAGE OF VICODIN PRESCRIBED TO THE PATIENT WITH ADMISSION ID 160519", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\n# Question: WHAT IS THE DOSAGE OF VICODIN PRESCRIBED TO THE PATIENT WITH ADMISSION ID 160519\n# SQLQuery:\n"}, {"question": "FOR THE PATIENT HAVING AN ADMISSION ID = 135234, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR GLIPIZIDE", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\n# Question: FOR THE PATIENT HAVING AN ADMISSION ID = 135234, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR GLIPIZIDE\n# SQLQuery:\n"}, {"question": "WHAT IS THE ROUTE OF ADMINISTRATION OF THE DRUG LEVOTHYROXINE FOR PATIENT WITH ADMISSION ID 114004", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\n# Question: WHAT IS THE ROUTE OF ADMINISTRATION OF THE DRUG LEVOTHYROXINE FOR PATIENT WITH ADMISSION ID 114004\n# SQLQuery:\n"}, {"question": "WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG IPRATROPIUM- ALBUTEROL INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 104140", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\n# Question: WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG IPRATROPIUM- ALBUTEROL INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 104140\n# SQLQuery:\n"}, {"question": "WHAT IS THE FORM OF OXYCODONE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 168936", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT IS THE FORM OF OXYCODONE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 168936\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG INTENSITY OF LINEZOLID GIVEN TO THE PATIENT WITH AN ADMISSION ID = 127741", "goldSQL": "SELECT PRESCRIPTIONS.PROD_STRENGTH FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 127741 AND PRESCRIPTIONS.DRUG = \"LINEZOLID\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT IS THE DRUG INTENSITY OF LINEZOLID GIVEN TO THE PATIENT WITH AN ADMISSION ID = 127741\n# SQLQuery:\n"}, {"question": "WHAT IS THE FORM OF ASPIRIN PRESCRIBED TO THE PATIENT WITH ADMISSION ID 100579", "goldSQL": "SELECT PRESCRIPTIONS.FORM_UNIT_DISP FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 100579 AND PRESCRIPTIONS.DRUG = \"ASPIRIN\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\n# Question: WHAT IS THE FORM OF ASPIRIN PRESCRIBED TO THE PATIENT WITH ADMISSION ID 100579\n# SQLQuery:\n"}, {"question": "WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG NPH INSULIN HUMAN RECOMB INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 103315", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG NPH INSULIN HUMAN RECOMB INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 103315\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG INTENSITY OF CYANOCOBALAMIN GIVEN TO THE PATIENT WITH AN ADMISSION ID = 198406", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\n# Question: WHAT IS THE DRUG INTENSITY OF CYANOCOBALAMIN GIVEN TO THE PATIENT WITH AN ADMISSION ID = 198406\n# SQLQuery:\n"}, {"question": "WHAT IS THE FORM OF ACETAMINOPHEN PRESCRIBED TO THE PATIENT WITH ADMISSION ID 108343", "goldSQL": "SELECT PRESCRIPTIONS.FORM_UNIT_DISP FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 108343 AND PRESCRIPTIONS.DRUG = \"ACETAMINOPHEN\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\n# Question: WHAT IS THE FORM OF ACETAMINOPHEN PRESCRIBED TO THE PATIENT WITH ADMISSION ID 108343\n# SQLQuery:\n"}, {"question": "MENTION THE ROUTE OF ADMINISTRATION FOR THE MEDICINE CONTRAST RECOMMENDED TO THE PATIENT WITH ADMISSION ID = 152925", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: MENTION THE ROUTE OF ADMINISTRATION FOR THE MEDICINE CONTRAST RECOMMENDED TO THE PATIENT WITH ADMISSION ID = 152925\n# SQLQuery:\n"}, {"question": "MENTION THE ROUTE OF ADMINISTRATION FOR THE MEDICINE OMEPRAZOLE RECOMMENDED TO THE PATIENT WITH ADMISSION ID = 105104", "goldSQL": "SELECT PRESCRIPTIONS.ROUTE FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 105104 AND PRESCRIPTIONS.DRUG = \"OMEPRAZOLE\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: MENTION THE ROUTE OF ADMINISTRATION FOR THE MEDICINE OMEPRAZOLE RECOMMENDED TO THE PATIENT WITH ADMISSION ID = 105104\n# SQLQuery:\n"}, {"question": "WHAT IS THE STRENGTH OF THE MEDICINE OMEPRAZOLE TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 110135", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT IS THE STRENGTH OF THE MEDICINE OMEPRAZOLE TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 110135\n# SQLQuery:\n"}, {"question": "WHAT IS THE DOSAGE OF PREDNISONE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 122093", "goldSQL": "SELECT PRESCRIPTIONS.DOSE_VAL_RX, PRESCRIPTIONS.DOSE_UNIT_RX FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 122093 AND PRESCRIPTIONS.DRUG = \"PREDNISONE\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT IS THE DOSAGE OF PREDNISONE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 122093\n# SQLQuery:\n"}, {"question": "WHAT IS THE DOSAGE OF ATORVASTATIN PRESCRIBED TO THE PATIENT WITH ADMISSION ID 102324", "goldSQL": "SELECT PRESCRIPTIONS.DOSE_VAL_RX, PRESCRIPTIONS.DOSE_UNIT_RX FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 102324 AND PRESCRIPTIONS.DRUG = \"ATORVASTATIN\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT IS THE DOSAGE OF ATORVASTATIN PRESCRIBED TO THE PATIENT WITH ADMISSION ID 102324\n# SQLQuery:\n"}, {"question": "WHAT IS THE FORM OF METOPROLOL TARTRATE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 105747", "goldSQL": "SELECT PRESCRIPTIONS.FORM_UNIT_DISP FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 105747 AND PRESCRIPTIONS.DRUG = \"METOPROLOL TARTRATE\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\n# Question: WHAT IS THE FORM OF METOPROLOL TARTRATE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 105747\n# SQLQuery:\n"}, {"question": "WHAT IS THE ROUTE OF ADMINISTRATION OF THE DRUG OXYCODONE- ACETAMINOPHEN FOR PATIENT WITH ADMISSION ID 114923", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT IS THE ROUTE OF ADMINISTRATION OF THE DRUG OXYCODONE- ACETAMINOPHEN FOR PATIENT WITH ADMISSION ID 114923\n# SQLQuery:\n"}, {"question": "WHAT IS THE FORM OF OXYCODONE-ACETAMINOPHEN PRESCRIBED TO THE PATIENT WITH ADMISSION ID 112747", "goldSQL": "SELECT PRESCRIPTIONS.FORM_UNIT_DISP FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 112747 AND PRESCRIPTIONS.DRUG = \"OXYCODONE-ACETAMINOPHEN\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\n# Question: WHAT IS THE FORM OF OXYCODONE-ACETAMINOPHEN PRESCRIBED TO THE PATIENT WITH ADMISSION ID 112747\n# SQLQuery:\n"}, {"question": "WHAT IS THE ROUTE OF ADMINISTRATION OF THE DRUG ASPIRIN FOR PATIENT WITH ADMISSION ID 102053", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\n# Question: WHAT IS THE ROUTE OF ADMINISTRATION OF THE DRUG ASPIRIN FOR PATIENT WITH ADMISSION ID 102053\n# SQLQuery:\n"}, {"question": "WHAT IS THE DOSAGE OF FOLIC ACID PRESCRIBED TO THE PATIENT WITH ADMISSION ID 110384", "goldSQL": "SELECT PRESCRIPTIONS.DOSE_VAL_RX, PRESCRIPTIONS.DOSE_UNIT_RX FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 110384 AND PRESCRIPTIONS.DRUG = \"FOLIC ACID\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\n# Question: WHAT IS THE DOSAGE OF FOLIC ACID PRESCRIBED TO THE PATIENT WITH ADMISSION ID 110384\n# SQLQuery:\n"}, {"question": "WHAT IS THE DOSE OF K-DUR THAT THE PATIENT WITH ADMISSION ID = 186134 HAS BEEN PRESCRIBED", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT IS THE DOSE OF K-DUR THAT THE PATIENT WITH ADMISSION ID = 186134 HAS BEEN PRESCRIBED\n# SQLQuery:\n"}, {"question": "MENTION THE DRUG INTENSITY OF IPRATROPIUM BROMIDE PRESCRIBED TO THE PATIENT WHOSE ADMISSION ID IS 108343", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\n# Question: MENTION THE DRUG INTENSITY OF IPRATROPIUM BROMIDE PRESCRIBED TO THE PATIENT WHOSE ADMISSION ID IS 108343\n# SQLQuery:\n"}, {"question": "WHAT IS THE FORM OF ACETAMINOPHE N PRESCRIBED TO THE PATIENT WITH ADMISSION ID 121631", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT IS THE FORM OF ACETAMINOPHE N PRESCRIBED TO THE PATIENT WITH ADMISSION ID 121631\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG INTENSITY OF AMIODARONE GIVEN TO THE PATIENT WITH AN ADMISSION ID = 103877", "goldSQL": "SELECT PRESCRIPTIONS.PROD_STRENGTH FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 103877 AND PRESCRIPTIONS.DRUG = \"AMIODARONE\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT IS THE DRUG INTENSITY OF AMIODARONE GIVEN TO THE PATIENT WITH AN ADMISSION ID = 103877\n# SQLQuery:\n"}, {"question": "WHAT IS THE DOSE OF FLUID THAT THE PATIENT WITH ADMISSION ID = 105585 HAS BEEN PRESCRIBED", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'D_LABITEMS' has columns: ROW_ID (INTEGER), ITEMID (INTEGER), LABEL (VARCHAR), FLUID (VARCHAR), CATEGORY (VARCHAR), LOINC_CODE (VARCHAR), . The table is: This table contains information about various laboratory items, including their fluid, category and loinc code.{'ROW_ID': 546, 'ITEMID': 51346, 'LABEL': 'BLASTS', 'FLUID': 'CEREBROSPINAL FLUID (CSF)', 'CATEGORY': 'HEMATOLOGY', 'LOINC_CODE': '26447-3'}\n\n# Question: WHAT IS THE DOSE OF FLUID THAT THE PATIENT WITH ADMISSION ID = 105585 HAS BEEN PRESCRIBED\n# SQLQuery:\n"}, {"question": "WHAT IS THE STRENGTH OF THE MEDICINE ERGOCALCIFEROL TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 147292", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE STRENGTH OF THE MEDICINE ERGOCALCIFEROL TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 147292\n# SQLQuery:\n"}, {"question": "WHAT IS THE FORM OF SENNA PRESCRIBED TO THE PATIENT WITH ADMISSION ID 109617", "goldSQL": "SELECT PRESCRIPTIONS.FORM_UNIT_DISP FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 109617 AND PRESCRIPTIONS.DRUG = \"SENNA\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\n# Question: WHAT IS THE FORM OF SENNA PRESCRIBED TO THE PATIENT WITH ADMISSION ID 109617\n# SQLQuery:\n"}, {"question": "WHAT ARE THE LIST OF MEDICINES PRESCRIBED TO THE PATIENT WITH ADMISSION ID 106015", "goldSQL": "SELECT PRESCRIPTIONS.DRUG FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 106015", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\n# Question: WHAT ARE THE LIST OF MEDICINES PRESCRIBED TO THE PATIENT WITH ADMISSION ID 106015\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG INTENSITY OF LASIX GIVEN TO THE PATIENT WITH AN ADMISSION ID = 114626", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE DRUG INTENSITY OF LASIX GIVEN TO THE PATIENT WITH AN ADMISSION ID = 114626\n# SQLQuery:\n"}, {"question": "WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG TRAZODONE INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 107128", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG TRAZODONE INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 107128\n# SQLQuery:\n"}, {"question": "MENTION THE FORM OF OXYCODONE- ACETAMINOPHEN TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 123244", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\n# Question: MENTION THE FORM OF OXYCODONE- ACETAMINOPHEN TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 123244\n# SQLQuery:\n"}, {"question": "WHAT IS THE FORM OF LEVOTHYROXINE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 112942", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE FORM OF LEVOTHYROXINE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 112942\n# SQLQuery:\n"}, {"question": "WHAT IS THE DOSAGE OF TIOTROPIUM BROMIDE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 106361", "goldSQL": "SELECT PRESCRIPTIONS.DOSE_VAL_RX, PRESCRIPTIONS.DOSE_UNIT_RX FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 106361 AND PRESCRIPTIONS.DRUG = \"TIOTROPIUM BROMIDE\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\n# Question: WHAT IS THE DOSAGE OF TIOTROPIUM BROMIDE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 106361\n# SQLQuery:\n"}, {"question": "WHAT IS THE FORM OF LISINOPRIL PRESCRIBED TO THE PATIENT WITH ADMISSION ID 178331", "goldSQL": "SELECT PRESCRIPTIONS.FORM_UNIT_DISP FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 178331 AND PRESCRIPTIONS.DRUG = \"LISINOPRIL\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT IS THE FORM OF LISINOPRIL PRESCRIBED TO THE PATIENT WITH ADMISSION ID 178331\n# SQLQuery:\n"}, {"question": "WHAT WAS THE DOSAGE OF METOPROLOL TARTRATE THAT WAS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 105088", "goldSQL": "SELECT PRESCRIPTIONS.DOSE_VAL_RX, PRESCRIPTIONS.DOSE_UNIT_RX FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 105088 AND PRESCRIPTIONS.DRUG = \"METOPROLOL TARTRATE\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT WAS THE DOSAGE OF METOPROLOL TARTRATE THAT WAS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 105088\n# SQLQuery:\n"}, {"question": "WHAT WAS THE DOSAGE OF OXYCODONE THAT WAS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 152612", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\n# Question: WHAT WAS THE DOSAGE OF OXYCODONE THAT WAS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 152612\n# SQLQuery:\n"}, {"question": "WHAT IS THE ROUTE OF ADMINISTRATION OF THE DRUG DILTIAZEM FOR PATIENT WITH ADMISSION ID 181143", "goldSQL": "SELECT PRESCRIPTIONS.ROUTE FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 181143 AND PRESCRIPTIONS.DRUG = \"DILTIAZEM\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'D_CPT' has columns: ROW_ID (INTEGER), CATEGORY (INTEGER), SECTIONRANGE (VARCHAR), SECTIONHEADER (VARCHAR), SUBSECTIONRANGE (VARCHAR), SUBSECTIONHEADER (VARCHAR), CODESUFFIX (VARCHAR), MINCODEINSUBSECTION (INTEGER), MAXCODEINSUBSECTION (INTEGER), . The table is: Codes for evaluation and management services with their corresponding categories and subsection headers.{'ROW_ID': 1, 'CATEGORY': 1, 'SECTIONRANGE': '99201-99499', 'SECTIONHEADER': 'EVALUATION AND MANAGEMENT', 'SUBSECTIONRANGE': '99201-99216', 'SUBSECTIONHEADER': 'OFFICE/OTHER OUTPATIENT SERVICES', 'CODESUFFIX': None, 'MINCODEINSUBSECTION': 99201, 'MAXCODEINSUBSECTION': 99216}\n\n# Question: WHAT IS THE ROUTE OF ADMINISTRATION OF THE DRUG DILTIAZEM FOR PATIENT WITH ADMISSION ID 181143\n# SQLQuery:\n"}, {"question": "HOW LONG HAS THE PATIENT WITH ADMISSION ID = 119573 BEEN TAKING CEFTRIAXONE", "goldSQL": "SELECT SUM(PRESCRIPTIONS.DURATION_IN_DAYS) FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 119573 AND PRESCRIPTIONS.DRUG = \"CEFTRIAXONE\" GROUP BY PRESCRIPTIONS.HADM_ID, PRESCRIPTIONS.DRUG", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\n# Question: HOW LONG HAS THE PATIENT WITH ADMISSION ID = 119573 BEEN TAKING CEFTRIAXONE\n# SQLQuery:\n"}, {"question": "WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG WHITE PETROLATUM- MINERAL OIL INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 112615", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'D_LABITEMS' has columns: ROW_ID (INTEGER), ITEMID (INTEGER), LABEL (VARCHAR), FLUID (VARCHAR), CATEGORY (VARCHAR), LOINC_CODE (VARCHAR), . The table is: This table contains information about various laboratory items, including their fluid, category and loinc code.{'ROW_ID': 546, 'ITEMID': 51346, 'LABEL': 'BLASTS', 'FLUID': 'CEREBROSPINAL FLUID (CSF)', 'CATEGORY': 'HEMATOLOGY', 'LOINC_CODE': '26447-3'}\n\n# Question: WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG WHITE PETROLATUM- MINERAL OIL INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 112615\n# SQLQuery:\n"}, {"question": "WHAT WAS THE DOSAGE OF LANCETS THAT WAS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 181643", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT WAS THE DOSAGE OF LANCETS THAT WAS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 181643\n# SQLQuery:\n"}, {"question": "WHAT IS THE FORM OF PREDNISONE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 108816", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT IS THE FORM OF PREDNISONE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 108816\n# SQLQuery:\n"}, {"question": "WHAT IS THE FORM OF IPRATROPIUM-ALBUTEROL PRESCRIBED TO THE PATIENT WITH ADMISSION ID 193517", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\n# Question: WHAT IS THE FORM OF IPRATROPIUM-ALBUTEROL PRESCRIBED TO THE PATIENT WITH ADMISSION ID 193517\n# SQLQuery:\n"}, {"question": "WHAT WAS THE DOSAGE OF ASPIRIN THAT WAS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 189637", "goldSQL": "SELECT PRESCRIPTIONS.DOSE_VAL_RX, PRESCRIPTIONS.DOSE_UNIT_RX FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 189637 AND PRESCRIPTIONS.DRUG = \"ASPIRIN\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT WAS THE DOSAGE OF ASPIRIN THAT WAS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 189637\n# SQLQuery:\n"}, {"question": "WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG MIRTAZAPINE INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 101410", "goldSQL": "SELECT PRESCRIPTIONS.ROUTE FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 101410 AND PRESCRIPTIONS.DRUG = \"MIRTAZAPINE\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG MIRTAZAPINE INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 101410\n# SQLQuery:\n"}, {"question": "WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG CHOLECALCIFEROL INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 111341", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG CHOLECALCIFEROL INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 111341\n# SQLQuery:\n"}, {"question": "WHAT IS THE DOSAGE OF METOPROLOL PRESCRIBED TO THE PATIENT WITH ADMISSION ID 108889", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\n# Question: WHAT IS THE DOSAGE OF METOPROLOL PRESCRIBED TO THE PATIENT WITH ADMISSION ID 108889\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG STRENGTH OF TORSEMIDE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 111882", "goldSQL": "SELECT PRESCRIPTIONS.PROD_STRENGTH FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 111882 AND PRESCRIPTIONS.DRUG = \"TORSEMIDE\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\n# Question: WHAT IS THE DRUG STRENGTH OF TORSEMIDE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 111882\n# SQLQuery:\n"}, {"question": "FOR THE PATIENT HAVING AN ADMISSION ID = 110753, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR ULTRAM", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\n# Question: FOR THE PATIENT HAVING AN ADMISSION ID = 110753, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR ULTRAM\n# SQLQuery:\n"}, {"question": "FOR THE PATIENT HAVING AN ADMISSION ID = 127018, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR FLUTICASONE -SALMETEROL", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: FOR THE PATIENT HAVING AN ADMISSION ID = 127018, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR FLUTICASONE -SALMETEROL\n# SQLQuery:\n"}, {"question": "WHAT WAS THE DOSAGE OF DEPAKOTE THAT WAS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 161477", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\n# Question: WHAT WAS THE DOSAGE OF DEPAKOTE THAT WAS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 161477\n# SQLQuery:\n"}, {"question": "MENTION THE DRUG INTENSITY OF TRAZODONE PRESCRIBED TO THE PATIENT WHOSE ADMISSION ID IS 174037", "goldSQL": "SELECT PRESCRIPTIONS.PROD_STRENGTH FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 174037 AND PRESCRIPTIONS.DRUG = \"TRAZODONE\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: MENTION THE DRUG INTENSITY OF TRAZODONE PRESCRIBED TO THE PATIENT WHOSE ADMISSION ID IS 174037\n# SQLQuery:\n"}, {"question": "WHAT IS THE DOSAGE OF CAMPHOR- MENTHOL PRESCRIBED TO THE PATIENT WITH ADMISSION ID 110731", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\n# Question: WHAT IS THE DOSAGE OF CAMPHOR- MENTHOL PRESCRIBED TO THE PATIENT WITH ADMISSION ID 110731\n# SQLQuery:\n"}, {"question": "WHAT IS THE STRENGTH OF THE MEDICINE RANITIDINE TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 109170", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE STRENGTH OF THE MEDICINE RANITIDINE TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 109170\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG INTENSITY OF ACETAMINOPHEN GIVEN TO THE PATIENT WITH AN ADMISSION ID = 105360", "goldSQL": "SELECT PRESCRIPTIONS.PROD_STRENGTH FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 105360 AND PRESCRIPTIONS.DRUG = \"ACETAMINOPHEN\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE DRUG INTENSITY OF ACETAMINOPHEN GIVEN TO THE PATIENT WITH AN ADMISSION ID = 105360\n# SQLQuery:\n"}, {"question": "WHAT IS THE FORM OF DOCUSATE SODIUM PRESCRIBED TO THE PATIENT WITH ADMISSION ID 108754", "goldSQL": "SELECT PRESCRIPTIONS.FORM_UNIT_DISP FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 108754 AND PRESCRIPTIONS.DRUG = \"DOCUSATE SODIUM\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}\n\n# Question: WHAT IS THE FORM OF DOCUSATE SODIUM PRESCRIBED TO THE PATIENT WITH ADMISSION ID 108754\n# SQLQuery:\n"}, {"question": "MENTION THE TOTAL DURATION DURING WHICH THE PATIENT WITH ADMISSION ID = 152311 HAS BEEN TAKING CEFTAZIDIME", "goldSQL": "SELECT SUM(PRESCRIPTIONS.DURATION_IN_DAYS) FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 152311 AND PRESCRIPTIONS.DRUG = \"CEFTAZIDIME\" GROUP BY PRESCRIPTIONS.HADM_ID, PRESCRIPTIONS.DRUG", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\n# Question: MENTION THE TOTAL DURATION DURING WHICH THE PATIENT WITH ADMISSION ID = 152311 HAS BEEN TAKING CEFTAZIDIME\n# SQLQuery:\n"}, {"question": "WHAT IS THE DOSE OF ERGOCALCIFEROL THAT THE PATIENT WITH ADMISSION ID = 131345 HAS BEEN PRESCRIBED", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}\n\n# Question: WHAT IS THE DOSE OF ERGOCALCIFEROL THAT THE PATIENT WITH ADMISSION ID = 131345 HAS BEEN PRESCRIBED\n# SQLQuery:\n"}, {"question": "WHAT IS THE FORM OF FLUTICASONE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 106588", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE FORM OF FLUTICASONE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 106588\n# SQLQuery:\n"}, {"question": "WHAT IS THE STRENGTH OF THE MEDICINE LATANOPROST TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 150030", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE STRENGTH OF THE MEDICINE LATANOPROST TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 150030\n# SQLQuery:\n"}, {"question": "WHAT WAS THE DOSAGE OF INSULIN THAT WAS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 185013", "goldSQL": "SELECT PRESCRIPTIONS.DOSE_VAL_RX, PRESCRIPTIONS.DOSE_UNIT_RX FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 185013 AND PRESCRIPTIONS.DRUG = \"INSULIN\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT WAS THE DOSAGE OF INSULIN THAT WAS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 185013\n# SQLQuery:\n"}, {"question": "WHAT WAS THE DOSAGE OF METHADONE THAT WAS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 129109", "goldSQL": "SELECT PRESCRIPTIONS.DOSE_VAL_RX, PRESCRIPTIONS.DOSE_UNIT_RX FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 129109 AND PRESCRIPTIONS.DRUG = \"METHADONE\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\n# Question: WHAT WAS THE DOSAGE OF METHADONE THAT WAS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 129109\n# SQLQuery:\n"}, {"question": "WHAT IS THE FORM OF KEPPRA PRESCRIBED TO THE PATIENT WITH ADMISSION ID 104682", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE FORM OF KEPPRA PRESCRIBED TO THE PATIENT WITH ADMISSION ID 104682\n# SQLQuery:\n"}, {"question": "WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG PROTONIX INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 163764", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG PROTONIX INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 163764\n# SQLQuery:\n"}, {"question": "WHAT IS THE STRENGTH OF THE MEDICINE WARFARIN TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 119573", "goldSQL": "SELECT PRESCRIPTIONS.PROD_STRENGTH FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 119573 AND PRESCRIPTIONS.DRUG = \"WARFARIN\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT IS THE STRENGTH OF THE MEDICINE WARFARIN TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 119573\n# SQLQuery:\n"}, {"question": "WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG MORPHINE INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 115191", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG MORPHINE INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 115191\n# SQLQuery:\n"}, {"question": "WHAT WAS THE DOSAGE OF METOPROLOL TARTRATE THAT WAS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 152311", "goldSQL": "SELECT PRESCRIPTIONS.DOSE_VAL_RX, PRESCRIPTIONS.DOSE_UNIT_RX FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 152311 AND PRESCRIPTIONS.DRUG = \"METOPROLOL TARTRATE\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\n# Question: WHAT WAS THE DOSAGE OF METOPROLOL TARTRATE THAT WAS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 152311\n# SQLQuery:\n"}, {"question": "WHAT IS THE DOSAGE OF ASPIRI N PRESCRIBED TO THE PATIENT WITH ADMISSION ID 106076", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\n# Question: WHAT IS THE DOSAGE OF ASPIRI N PRESCRIBED TO THE PATIENT WITH ADMISSION ID 106076\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG INTENSITY OF TYLENOL GIVEN TO THE PATIENT WITH AN ADMISSION ID = 190444", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE DRUG INTENSITY OF TYLENOL GIVEN TO THE PATIENT WITH AN ADMISSION ID = 190444\n# SQLQuery:\n"}, {"question": "WHAT IS THE FORM OF GUAIFENESIN PRESCRIBED TO THE PATIENT WITH ADMISSION ID 111840", "goldSQL": "SELECT PRESCRIPTIONS.FORM_UNIT_DISP FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 111840 AND PRESCRIPTIONS.DRUG = \"GUAIFENESIN\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE FORM OF GUAIFENESIN PRESCRIBED TO THE PATIENT WITH ADMISSION ID 111840\n# SQLQuery:\n"}, {"question": "WHAT IS THE FORM OF AMLODIPINE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 117745", "goldSQL": "SELECT PRESCRIPTIONS.FORM_UNIT_DISP FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 117745 AND PRESCRIPTIONS.DRUG = \"AMLODIPINE\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\n# Question: WHAT IS THE FORM OF AMLODIPINE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 117745\n# SQLQuery:\n"}, {"question": "PLEASE SPECIFY IF THE MEDICINE CYCLOBENZAPRINE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 113307 IS IN THE FORM OF TABLET, CAPSULE, SYRUP OR IN ANY OTHER FORM", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\n# Question: PLEASE SPECIFY IF THE MEDICINE CYCLOBENZAPRINE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 113307 IS IN THE FORM OF TABLET, CAPSULE, SYRUP OR IN ANY OTHER FORM\n# SQLQuery:\n"}, {"question": "WHAT IS THE DOSE OF LEVOFLOXACIN THAT THE PATIENT WITH ADMISSION ID = 110335 HAS BEEN PRESCRIBED", "goldSQL": "SELECT PRESCRIPTIONS.DOSE_VAL_RX, PRESCRIPTIONS.DOSE_UNIT_RX FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 110335 AND PRESCRIPTIONS.DRUG = \"LEVOFLOXACIN\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'D_LABITEMS' has columns: ROW_ID (INTEGER), ITEMID (INTEGER), LABEL (VARCHAR), FLUID (VARCHAR), CATEGORY (VARCHAR), LOINC_CODE (VARCHAR), . The table is: This table contains information about various laboratory items, including their fluid, category and loinc code.{'ROW_ID': 546, 'ITEMID': 51346, 'LABEL': 'BLASTS', 'FLUID': 'CEREBROSPINAL FLUID (CSF)', 'CATEGORY': 'HEMATOLOGY', 'LOINC_CODE': '26447-3'}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE DOSE OF LEVOFLOXACIN THAT THE PATIENT WITH ADMISSION ID = 110335 HAS BEEN PRESCRIBED\n# SQLQuery:\n"}, {"question": "MENTION THE TOTAL DURATION DURING WHICH THE PATIENT WITH ADMISSION ID = 160574 HAS BEEN TAKING LEVOPHED", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\n# Question: MENTION THE TOTAL DURATION DURING WHICH THE PATIENT WITH ADMISSION ID = 160574 HAS BEEN TAKING LEVOPHED\n# SQLQuery:\n"}, {"question": "WHAT IS THE DOSE OF MIDODRINE THAT THE PATIENT WITH ADMISSION ID = 151904 HAS BEEN PRESCRIBED", "goldSQL": "SELECT PRESCRIPTIONS.DOSE_VAL_RX, PRESCRIPTIONS.DOSE_UNIT_RX FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 151904 AND PRESCRIPTIONS.DRUG = \"MIDODRINE\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\n# Question: WHAT IS THE DOSE OF MIDODRINE THAT THE PATIENT WITH ADMISSION ID = 151904 HAS BEEN PRESCRIBED\n# SQLQuery:\n"}, {"question": "WHAT IS THE ROUTE OF ADMINISTRATION OF THE DRUG ASPIRIN FOR PATIENT WITH ADMISSION ID 108889", "goldSQL": "SELECT PRESCRIPTIONS.ROUTE FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 108889 AND PRESCRIPTIONS.DRUG = \"ASPIRIN\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT IS THE ROUTE OF ADMINISTRATION OF THE DRUG ASPIRIN FOR PATIENT WITH ADMISSION ID 108889\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG INTENSITY OF MUPIROCIN GIVEN TO THE PATIENT WITH AN ADMISSION ID = 112615", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\n# Question: WHAT IS THE DRUG INTENSITY OF MUPIROCIN GIVEN TO THE PATIENT WITH AN ADMISSION ID = 112615\n# SQLQuery:\n"}, {"question": "WHAT IS THE STRENGTH OF THE MEDICINE CHOLECALCIFEROL (VITAMIN D3) TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 110891", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT IS THE STRENGTH OF THE MEDICINE CHOLECALCIFEROL (VITAMIN D3) TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 110891\n# SQLQuery:\n"}, {"question": "WHAT IS THE DOSAGE OF HALOPERIDOL PRESCRIBED TO THE PATIENT WITH ADMISSION ID 196798", "goldSQL": "SELECT PRESCRIPTIONS.DOSE_VAL_RX, PRESCRIPTIONS.DOSE_UNIT_RX FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 196798 AND PRESCRIPTIONS.DRUG = \"HALOPERIDOL\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\n# Question: WHAT IS THE DOSAGE OF HALOPERIDOL PRESCRIBED TO THE PATIENT WITH ADMISSION ID 196798\n# SQLQuery:\n"}, {"question": "WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG OXYGEN INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 100759", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG OXYGEN INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 100759\n# SQLQuery:\n"}, {"question": "NAME THE DRUGS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 105747", "goldSQL": "SELECT PRESCRIPTIONS.DRUG FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 105747", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: NAME THE DRUGS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 105747\n# SQLQuery:\n"}, {"question": "WHAT IS THE DOSAGE OF FLAGYL PRESCRIBED TO THE PATIENT WITH ADMISSION ID 178143", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE DOSAGE OF FLAGYL PRESCRIBED TO THE PATIENT WITH ADMISSION ID 178143\n# SQLQuery:\n"}, {"question": "FOR THE PATIENT HAVING AN ADMISSION ID = 184696, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR ASPIRIN", "goldSQL": "SELECT PRESCRIPTIONS.ROUTE FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 184696 AND PRESCRIPTIONS.DRUG = \"ASPIRIN\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\n# Question: FOR THE PATIENT HAVING AN ADMISSION ID = 184696, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR ASPIRIN\n# SQLQuery:\n"}, {"question": "WHAT IS THE DOSAGE OF SIMVASTATI N PRESCRIBED TO THE PATIENT WITH ADMISSION ID 115021", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\n# Question: WHAT IS THE DOSAGE OF SIMVASTATI N PRESCRIBED TO THE PATIENT WITH ADMISSION ID 115021\n# SQLQuery:\n"}, {"question": "WHAT IS THE STRENGTH OF THE MEDICINE METOPROLOL TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 166237", "goldSQL": "SELECT PRESCRIPTIONS.PROD_STRENGTH FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 166237 AND PRESCRIPTIONS.DRUG = \"METOPROLOL\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT IS THE STRENGTH OF THE MEDICINE METOPROLOL TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 166237\n# SQLQuery:\n"}, {"question": "MENTION THE ROUTE OF ADMINISTRATION FOR THE MEDICINE ALENDRONATE RECOMMENDED TO THE PATIENT WITH ADMISSION ID = 104653", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\nTable 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}\n\n# Question: MENTION THE ROUTE OF ADMINISTRATION FOR THE MEDICINE ALENDRONATE RECOMMENDED TO THE PATIENT WITH ADMISSION ID = 104653\n# SQLQuery:\n"}, {"question": "WHAT IS THE DOSE OF ZOLPIDEM THAT THE PATIENT WITH ADMISSION ID = 103722 HAS BEEN PRESCRIBED", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\n# Question: WHAT IS THE DOSE OF ZOLPIDEM THAT THE PATIENT WITH ADMISSION ID = 103722 HAS BEEN PRESCRIBED\n# SQLQuery:\n"}, {"question": "WHAT IS THE FORM OF PREDNISONE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 105360", "goldSQL": "SELECT PRESCRIPTIONS.FORM_UNIT_DISP FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 105360 AND PRESCRIPTIONS.DRUG = \"PREDNISONE\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE FORM OF PREDNISONE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 105360\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG STRENGTH OF FINASTERIDE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 100590", "goldSQL": "SELECT PRESCRIPTIONS.PROD_STRENGTH FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 100590 AND PRESCRIPTIONS.DRUG = \"FINASTERIDE\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT IS THE DRUG STRENGTH OF FINASTERIDE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 100590\n# SQLQuery:\n"}, {"question": "WHAT IS THE ROUTE OF ADMINISTRATION OF THE DRUG OXYCODONE-ACETAMINOPHEN FOR PATIENT WITH ADMISSION ID 168915", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE ROUTE OF ADMINISTRATION OF THE DRUG OXYCODONE-ACETAMINOPHEN FOR PATIENT WITH ADMISSION ID 168915\n# SQLQuery:\n"}, {"question": "WHAT IS THE FORM OF NYSTATIN PRESCRIBED TO THE PATIENT WITH ADMISSION ID 103761", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE FORM OF NYSTATIN PRESCRIBED TO THE PATIENT WITH ADMISSION ID 103761\n# SQLQuery:\n"}, {"question": "NAME THE DRUGS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 144709", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: NAME THE DRUGS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 144709\n# SQLQuery:\n"}, {"question": "WHAT IS THE DOSAGE OF CALCIUM CARBONATE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 109397", "goldSQL": "SELECT PRESCRIPTIONS.DOSE_VAL_RX, PRESCRIPTIONS.DOSE_UNIT_RX FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 109397 AND PRESCRIPTIONS.DRUG = \"CALCIUM CARBONATE\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}\n\n# Question: WHAT IS THE DOSAGE OF CALCIUM CARBONATE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 109397\n# SQLQuery:\n"}, {"question": "FOR THE PATIENT HAVING AN ADMISSION ID = 106076, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR NITRO", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: FOR THE PATIENT HAVING AN ADMISSION ID = 106076, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR NITRO\n# SQLQuery:\n"}, {"question": "WHAT IS THE DOSE OF LANSOPRAZOL E THAT THE PATIENT WITH ADMISSION ID = 125206 HAS BEEN PRESCRIBED", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'D_LABITEMS' has columns: ROW_ID (INTEGER), ITEMID (INTEGER), LABEL (VARCHAR), FLUID (VARCHAR), CATEGORY (VARCHAR), LOINC_CODE (VARCHAR), . The table is: This table contains information about various laboratory items, including their fluid, category and loinc code.{'ROW_ID': 546, 'ITEMID': 51346, 'LABEL': 'BLASTS', 'FLUID': 'CEREBROSPINAL FLUID (CSF)', 'CATEGORY': 'HEMATOLOGY', 'LOINC_CODE': '26447-3'}\n\n# Question: WHAT IS THE DOSE OF LANSOPRAZOL E THAT THE PATIENT WITH ADMISSION ID = 125206 HAS BEEN PRESCRIBED\n# SQLQuery:\n"}, {"question": "WHAT IS THE FORM OF WARFARIN PRESCRIBED TO THE PATIENT WITH ADMISSION ID 114513", "goldSQL": "SELECT PRESCRIPTIONS.FORM_UNIT_DISP FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 114513 AND PRESCRIPTIONS.DRUG = \"WARFARIN\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT IS THE FORM OF WARFARIN PRESCRIBED TO THE PATIENT WITH ADMISSION ID 114513\n# SQLQuery:\n"}, {"question": "MENTION THE FORM OF TAMSULOSIN TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 105614", "goldSQL": "SELECT PRESCRIPTIONS.FORM_UNIT_DISP FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 105614 AND PRESCRIPTIONS.DRUG = \"TAMSULOSIN\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: MENTION THE FORM OF TAMSULOSIN TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 105614\n# SQLQuery:\n"}, {"question": "WHAT IS THE STRENGTH OF THE MEDICINE HYDROMORPHONE (DILAUDID) TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 103761", "goldSQL": "SELECT PRESCRIPTIONS.PROD_STRENGTH FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 103761 AND PRESCRIPTIONS.DRUG = \"HYDROMORPHONE (DILAUDID)\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE STRENGTH OF THE MEDICINE HYDROMORPHONE (DILAUDID) TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 103761\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG STRENGTH OF LEFLUNOMIDE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 117191", "goldSQL": "SELECT PRESCRIPTIONS.PROD_STRENGTH FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 117191 AND PRESCRIPTIONS.DRUG = \"LEFLUNOMIDE\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\n# Question: WHAT IS THE DRUG STRENGTH OF LEFLUNOMIDE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 117191\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG INTENSITY OF MORPHINE SULFATE GIVEN TO THE PATIENT WITH AN ADMISSION ID = 115138", "goldSQL": "SELECT PRESCRIPTIONS.PROD_STRENGTH FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 115138 AND PRESCRIPTIONS.DRUG = \"MORPHINE SULFATE\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT IS THE DRUG INTENSITY OF MORPHINE SULFATE GIVEN TO THE PATIENT WITH AN ADMISSION ID = 115138\n# SQLQuery:\n"}, {"question": "WHAT IS THE ROUTE OF ADMINISTRATION OF THE DRUG AMOXICILLIN-POT CLAVULANATE FOR PATIENT WITH ADMISSION ID 177721", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE ROUTE OF ADMINISTRATION OF THE DRUG AMOXICILLIN-POT CLAVULANATE FOR PATIENT WITH ADMISSION ID 177721\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG INTENSITY OF CEFTRIAXONE GIVEN TO THE PATIENT WITH AN ADMISSION ID = 100590", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\n# Question: WHAT IS THE DRUG INTENSITY OF CEFTRIAXONE GIVEN TO THE PATIENT WITH AN ADMISSION ID = 100590\n# SQLQuery:\n"}, {"question": "WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG COMBIVENT INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 115667", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\n# Question: WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG COMBIVENT INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 115667\n# SQLQuery:\n"}, {"question": "WHAT IS THE FORM OF BRIMODIDINE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 111341", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT IS THE FORM OF BRIMODIDINE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 111341\n# SQLQuery:\n"}, {"question": "MENTION THE FORM OF IPRATROPIUM BROMIDE TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 186134", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\n# Question: MENTION THE FORM OF IPRATROPIUM BROMIDE TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 186134\n# SQLQuery:\n"}, {"question": "WHAT IS THE DOSAGE OF MAGNESIUM OXIDE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 103315", "goldSQL": "SELECT PRESCRIPTIONS.DOSE_VAL_RX, PRESCRIPTIONS.DOSE_UNIT_RX FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 103315 AND PRESCRIPTIONS.DRUG = \"MAGNESIUM OXIDE\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\n# Question: WHAT IS THE DOSAGE OF MAGNESIUM OXIDE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 103315\n# SQLQuery:\n"}, {"question": "WHAT IS THE FORM OF LIDOCAINE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 109617", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'D_LABITEMS' has columns: ROW_ID (INTEGER), ITEMID (INTEGER), LABEL (VARCHAR), FLUID (VARCHAR), CATEGORY (VARCHAR), LOINC_CODE (VARCHAR), . The table is: This table contains information about various laboratory items, including their fluid, category and loinc code.{'ROW_ID': 546, 'ITEMID': 51346, 'LABEL': 'BLASTS', 'FLUID': 'CEREBROSPINAL FLUID (CSF)', 'CATEGORY': 'HEMATOLOGY', 'LOINC_CODE': '26447-3'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\n# Question: WHAT IS THE FORM OF LIDOCAINE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 109617\n# SQLQuery:\n"}, {"question": "MENTION THE FORM OF BACLOFEN TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 115267", "goldSQL": "SELECT PRESCRIPTIONS.FORM_UNIT_DISP FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 115267 AND PRESCRIPTIONS.DRUG = \"BACLOFEN\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: MENTION THE FORM OF BACLOFEN TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 115267\n# SQLQuery:\n"}, {"question": "WHAT WAS THE DOSAGE OF NS THAT WAS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 121467", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\n# Question: WHAT WAS THE DOSAGE OF NS THAT WAS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 121467\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG INTENSITY OF KAYEXALATE GIVEN TO THE PATIENT WITH AN ADMISSION ID = 104710", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\n# Question: WHAT IS THE DRUG INTENSITY OF KAYEXALATE GIVEN TO THE PATIENT WITH AN ADMISSION ID = 104710\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG INTENSITY OF ASPIRIN GIVEN TO THE PATIENT WITH AN ADMISSION ID = 123475", "goldSQL": "SELECT PRESCRIPTIONS.PROD_STRENGTH FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 123475 AND PRESCRIPTIONS.DRUG = \"ASPIRIN\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT IS THE DRUG INTENSITY OF ASPIRIN GIVEN TO THE PATIENT WITH AN ADMISSION ID = 123475\n# SQLQuery:\n"}, {"question": "HOW LONG HAS THE PATIENT WITH ADMISSION ID = 100187 BEEN TAKING LEVOFLOXACIN", "goldSQL": "SELECT SUM(PRESCRIPTIONS.DURATION_IN_DAYS) FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 100187 AND PRESCRIPTIONS.DRUG = \"LEVOFLOXACIN\" GROUP BY PRESCRIPTIONS.HADM_ID, PRESCRIPTIONS.DRUG", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\n# Question: HOW LONG HAS THE PATIENT WITH ADMISSION ID = 100187 BEEN TAKING LEVOFLOXACIN\n# SQLQuery:\n"}, {"question": "WHAT IS THE FORM OF SALMETEROL XINAFOATE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 121116", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT IS THE FORM OF SALMETEROL XINAFOATE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 121116\n# SQLQuery:\n"}, {"question": "WHAT IS THE DOSE OF DOCUSATE SODIUM THAT THE PATIENT WITH ADMISSION ID = 112445 HAS BEEN PRESCRIBED", "goldSQL": "SELECT PRESCRIPTIONS.DOSE_VAL_RX, PRESCRIPTIONS.DOSE_UNIT_RX FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 112445 AND PRESCRIPTIONS.DRUG = \"DOCUSATE SODIUM\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\nTable 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}\n\n# Question: WHAT IS THE DOSE OF DOCUSATE SODIUM THAT THE PATIENT WITH ADMISSION ID = 112445 HAS BEEN PRESCRIBED\n# SQLQuery:\n"}, {"question": "FOR THE PATIENT HAVING AN ADMISSION ID = 106384, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR METOPROLOL TARTRATE", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: FOR THE PATIENT HAVING AN ADMISSION ID = 106384, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR METOPROLOL TARTRATE\n# SQLQuery:\n"}, {"question": "WHAT IS THE STRENGTH OF THE MEDICINE DILTIAZEM HCL TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 115347", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\n# Question: WHAT IS THE STRENGTH OF THE MEDICINE DILTIAZEM HCL TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 115347\n# SQLQuery:\n"}, {"question": "WHAT IS THE DOSAGE OF HEPARIN (PORCINE) PRESCRIBED TO THE PATIENT WITH ADMISSION ID 114959", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\n# Question: WHAT IS THE DOSAGE OF HEPARIN (PORCINE) PRESCRIBED TO THE PATIENT WITH ADMISSION ID 114959\n# SQLQuery:\n"}, {"question": "WHAT IS THE STRENGTH OF THE MEDICINE SENNA TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 160574", "goldSQL": "SELECT PRESCRIPTIONS.PROD_STRENGTH FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 160574 AND PRESCRIPTIONS.DRUG = \"SENNA\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE STRENGTH OF THE MEDICINE SENNA TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 160574\n# SQLQuery:\n"}, {"question": "WHAT IS THE DOSE OF TORSEMIDE THAT THE PATIENT WITH ADMISSION ID = 111882 HAS BEEN PRESCRIBED", "goldSQL": "SELECT PRESCRIPTIONS.DOSE_VAL_RX, PRESCRIPTIONS.DOSE_UNIT_RX FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 111882 AND PRESCRIPTIONS.DRUG = \"TORSEMIDE\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT IS THE DOSE OF TORSEMIDE THAT THE PATIENT WITH ADMISSION ID = 111882 HAS BEEN PRESCRIBED\n# SQLQuery:\n"}, {"question": "WHAT WAS THE DOSAGE OF IPRATROPIUM BROMIDE THAT WAS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 174037", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\n# Question: WHAT WAS THE DOSAGE OF IPRATROPIUM BROMIDE THAT WAS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 174037\n# SQLQuery:\n"}, {"question": "WHAT IS THE DOSE OF WARFARIN THAT THE PATIENT WITH ADMISSION ID = 100579 HAS BEEN PRESCRIBED", "goldSQL": "SELECT PRESCRIPTIONS.DOSE_VAL_RX, PRESCRIPTIONS.DOSE_UNIT_RX FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 100579 AND PRESCRIPTIONS.DRUG = \"WARFARIN\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT IS THE DOSE OF WARFARIN THAT THE PATIENT WITH ADMISSION ID = 100579 HAS BEEN PRESCRIBED\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG INTENSITY OF RANITIDINE HCL GIVEN TO THE PATIENT WITH AN ADMISSION ID = 127356", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\n# Question: WHAT IS THE DRUG INTENSITY OF RANITIDINE HCL GIVEN TO THE PATIENT WITH AN ADMISSION ID = 127356\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG INTENSITY OF PLAVIX GIVEN TO THE PATIENT WITH AN ADMISSION ID = 121631", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT IS THE DRUG INTENSITY OF PLAVIX GIVEN TO THE PATIENT WITH AN ADMISSION ID = 121631\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG STRENGTH OF FUROSEMIDE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 161384", "goldSQL": "SELECT PRESCRIPTIONS.PROD_STRENGTH FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 161384 AND PRESCRIPTIONS.DRUG = \"FUROSEMIDE\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT IS THE DRUG STRENGTH OF FUROSEMIDE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 161384\n# SQLQuery:\n"}, {"question": "WHAT IS THE DOSE OF PIOGLITAZON E THAT THE PATIENT WITH ADMISSION ID = 116901 HAS BEEN PRESCRIBED", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE DOSE OF PIOGLITAZON E THAT THE PATIENT WITH ADMISSION ID = 116901 HAS BEEN PRESCRIBED\n# SQLQuery:\n"}, {"question": "WHAT IS THE STRENGTH OF THE MEDICINE HALDOL TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 106588", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE STRENGTH OF THE MEDICINE HALDOL TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 106588\n# SQLQuery:\n"}, {"question": "WHAT IS THE DOSE OF JANUVIA THAT THE PATIENT WITH ADMISSION ID = 116901 HAS BEEN PRESCRIBED", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}\n\n# Question: WHAT IS THE DOSE OF JANUVIA THAT THE PATIENT WITH ADMISSION ID = 116901 HAS BEEN PRESCRIBED\n# SQLQuery:\n"}, {"question": "WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG ACETAMINOPHEN INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 100035", "goldSQL": "SELECT PRESCRIPTIONS.ROUTE FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 100035 AND PRESCRIPTIONS.DRUG = \"ACETAMINOPHEN\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG ACETAMINOPHEN INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 100035\n# SQLQuery:\n"}, {"question": "MENTION THE DRUG INTENSITY OF DIVALPROEX PRESCRIBED TO THE PATIENT WHOSE ADMISSION ID IS 114901", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\n# Question: MENTION THE DRUG INTENSITY OF DIVALPROEX PRESCRIBED TO THE PATIENT WHOSE ADMISSION ID IS 114901\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG STRENGTH OF DIGOXI N PRESCRIBED TO THE PATIENT WITH ADMISSION ID 109697", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\n# Question: WHAT IS THE DRUG STRENGTH OF DIGOXI N PRESCRIBED TO THE PATIENT WITH ADMISSION ID 109697\n# SQLQuery:\n"}, {"question": "WHAT IS THE ROUTE OF ADMINISTRATION OF THE DRUG LASIX FOR PATIENT WITH ADMISSION ID 155980", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT IS THE ROUTE OF ADMINISTRATION OF THE DRUG LASIX FOR PATIENT WITH ADMISSION ID 155980\n# SQLQuery:\n"}, {"question": "WHAT ARE THE MEDICATIONS TAKEN BY THE PATIENT WITH ADMISSION ID 121663", "goldSQL": "SELECT PRESCRIPTIONS.DRUG FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 121663", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT ARE THE MEDICATIONS TAKEN BY THE PATIENT WITH ADMISSION ID 121663\n# SQLQuery:\n"}, {"question": "FOR THE PATIENT HAVING AN ADMISSION ID = 115191, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR OXYCODONE SR", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\nTable 'PROCEDURES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (INTEGER), . The table is: ICD-9 procedure codes with short and long titles{'ROW_ID': 944, 'SUBJECT_ID': 62641, 'HADM_ID': 154460, 'SEQ_NUM': 3, 'ICD9_CODE': 3404}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\n# Question: FOR THE PATIENT HAVING AN ADMISSION ID = 115191, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR OXYCODONE SR\n# SQLQuery:\n"}, {"question": "WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG PAIN MEDS INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 109566", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG PAIN MEDS INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 109566\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG INTENSITY OF COLACE GIVEN TO THE PATIENT WITH AN ADMISSION ID = 104095", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\n# Question: WHAT IS THE DRUG INTENSITY OF COLACE GIVEN TO THE PATIENT WITH AN ADMISSION ID = 104095\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG INTENSITY OF CHOLECALCIFEROL (VITAMIN D3) GIVEN TO THE PATIENT WITH AN ADMISSION ID = 111840", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'D_LABITEMS' has columns: ROW_ID (INTEGER), ITEMID (INTEGER), LABEL (VARCHAR), FLUID (VARCHAR), CATEGORY (VARCHAR), LOINC_CODE (VARCHAR), . The table is: This table contains information about various laboratory items, including their fluid, category and loinc code.{'ROW_ID': 546, 'ITEMID': 51346, 'LABEL': 'BLASTS', 'FLUID': 'CEREBROSPINAL FLUID (CSF)', 'CATEGORY': 'HEMATOLOGY', 'LOINC_CODE': '26447-3'}\n\n# Question: WHAT IS THE DRUG INTENSITY OF CHOLECALCIFEROL (VITAMIN D3) GIVEN TO THE PATIENT WITH AN ADMISSION ID = 111840\n# SQLQuery:\n"}, {"question": "WHAT IS THE FORM OF METFORMIN PRESCRIBED TO THE PATIENT WITH ADMISSION ID 148266", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\n# Question: WHAT IS THE FORM OF METFORMIN PRESCRIBED TO THE PATIENT WITH ADMISSION ID 148266\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG STRENGTH OF DUONEB PRESCRIBED TO THE PATIENT WITH ADMISSION ID 106423", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\n# Question: WHAT IS THE DRUG STRENGTH OF DUONEB PRESCRIBED TO THE PATIENT WITH ADMISSION ID 106423\n# SQLQuery:\n"}, {"question": "FOR THE PATIENT HAVING AN ADMISSION ID = 121467, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR OMEPRAZOL E", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: FOR THE PATIENT HAVING AN ADMISSION ID = 121467, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR OMEPRAZOL E\n# SQLQuery:\n"}, {"question": "WHAT IS THE DOSAGE OF B COMPLEX-VITAMIN C- FOLIC ACID PRESCRIBED TO THE PATIENT WITH ADMISSION ID 107421", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\n# Question: WHAT IS THE DOSAGE OF B COMPLEX-VITAMIN C- FOLIC ACID PRESCRIBED TO THE PATIENT WITH ADMISSION ID 107421\n# SQLQuery:\n"}, {"question": "FOR THE PATIENT HAVING AN ADMISSION ID = 116604, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR CHOLECALCIFEROL (VITAMIN D3)", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\n# Question: FOR THE PATIENT HAVING AN ADMISSION ID = 116604, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR CHOLECALCIFEROL (VITAMIN D3)\n# SQLQuery:\n"}, {"question": "WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG CITALOPRA M INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 107421", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\n# Question: WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG CITALOPRA M INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 107421\n# SQLQuery:\n"}, {"question": "WHAT WAS THE DOSAGE OF DIAZEPA M THAT WAS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 112832", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\nTable 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}\n\n# Question: WHAT WAS THE DOSAGE OF DIAZEPA M THAT WAS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 112832\n# SQLQuery:\n"}, {"question": "WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG AMLODIPIN E INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 113222", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG AMLODIPIN E INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 113222\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG STRENGTH OF OMEPRAZOLE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 108809", "goldSQL": "SELECT PRESCRIPTIONS.PROD_STRENGTH FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 108809 AND PRESCRIPTIONS.DRUG = \"OMEPRAZOLE\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\n# Question: WHAT IS THE DRUG STRENGTH OF OMEPRAZOLE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 108809\n# SQLQuery:\n"}, {"question": "MENTION THE ROUTE OF ADMINISTRATION FOR THE MEDICINE NICOTINE RECOMMENDED TO THE PATIENT WITH ADMISSION ID = 110384", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\n# Question: MENTION THE ROUTE OF ADMINISTRATION FOR THE MEDICINE NICOTINE RECOMMENDED TO THE PATIENT WITH ADMISSION ID = 110384\n# SQLQuery:\n"}, {"question": "MENTION THE ROUTE OF ADMINISTRATION FOR THE MEDICINE AMIODARONE RECOMMENDED TO THE PATIENT WITH ADMISSION ID = 112140", "goldSQL": "SELECT PRESCRIPTIONS.ROUTE FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 112140 AND PRESCRIPTIONS.DRUG = \"AMIODARONE\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: MENTION THE ROUTE OF ADMINISTRATION FOR THE MEDICINE AMIODARONE RECOMMENDED TO THE PATIENT WITH ADMISSION ID = 112140\n# SQLQuery:\n"}, {"question": "WHAT IS THE DOSAGE OF TRAZODONE HCL PRESCRIBED TO THE PATIENT WITH ADMISSION ID 178331", "goldSQL": "SELECT PRESCRIPTIONS.DOSE_VAL_RX, PRESCRIPTIONS.DOSE_UNIT_RX FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 178331 AND PRESCRIPTIONS.DRUG = \"TRAZODONE HCL\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE DOSAGE OF TRAZODONE HCL PRESCRIBED TO THE PATIENT WITH ADMISSION ID 178331\n# SQLQuery:\n"}, {"question": "WHAT IS THE STRENGTH OF THE MEDICINE ONDANSETRO N TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 116204", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE STRENGTH OF THE MEDICINE ONDANSETRO N TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 116204\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG INTENSITY OF OXYCODONE GIVEN TO THE PATIENT WITH AN ADMISSION ID = 101813", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\n# Question: WHAT IS THE DRUG INTENSITY OF OXYCODONE GIVEN TO THE PATIENT WITH AN ADMISSION ID = 101813\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG STRENGTH OF COUMADIN PRESCRIBED TO THE PATIENT WITH ADMISSION ID 111458", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE DRUG STRENGTH OF COUMADIN PRESCRIBED TO THE PATIENT WITH ADMISSION ID 111458\n# SQLQuery:\n"}, {"question": "MENTION THE DRUG INTENSITY OF PLAVIX PRESCRIBED TO THE PATIENT WHOSE ADMISSION ID IS 115157", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: MENTION THE DRUG INTENSITY OF PLAVIX PRESCRIBED TO THE PATIENT WHOSE ADMISSION ID IS 115157\n# SQLQuery:\n"}, {"question": "WHAT IS THE STRENGTH OF THE MEDICINE ATENOLOL TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 110162", "goldSQL": "SELECT PRESCRIPTIONS.PROD_STRENGTH FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 110162 AND PRESCRIPTIONS.DRUG = \"ATENOLOL\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT IS THE STRENGTH OF THE MEDICINE ATENOLOL TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 110162\n# SQLQuery:\n"}, {"question": "FOR THE PATIENT HAVING AN ADMISSION ID = 164366, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR FOSAMPRENAVIR", "goldSQL": "SELECT PRESCRIPTIONS.ROUTE FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 164366 AND PRESCRIPTIONS.DRUG = \"FOSAMPRENAVIR\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: FOR THE PATIENT HAVING AN ADMISSION ID = 164366, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR FOSAMPRENAVIR\n# SQLQuery:\n"}, {"question": "WHAT IS THE STRENGTH OF THE MEDICINE LORATADINE [CLARITIN] TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 157284", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE STRENGTH OF THE MEDICINE LORATADINE [CLARITIN] TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 157284\n# SQLQuery:\n"}, {"question": "WHAT IS THE FORM OF PAROXETINE HCL PRESCRIBED TO THE PATIENT WITH ADMISSION ID 109397", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PROCEDURES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (INTEGER), . The table is: ICD-9 procedure codes with short and long titles{'ROW_ID': 944, 'SUBJECT_ID': 62641, 'HADM_ID': 154460, 'SEQ_NUM': 3, 'ICD9_CODE': 3404}\n\n# Question: WHAT IS THE FORM OF PAROXETINE HCL PRESCRIBED TO THE PATIENT WITH ADMISSION ID 109397\n# SQLQuery:\n"}, {"question": "WHAT IS THE DOSAGE OF RHINOCORT AQUA PRESCRIBED TO THE PATIENT WITH ADMISSION ID 108754", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\n# Question: WHAT IS THE DOSAGE OF RHINOCORT AQUA PRESCRIBED TO THE PATIENT WITH ADMISSION ID 108754\n# SQLQuery:\n"}, {"question": "WHAT IS THE ROUTE OF ADMINISTRATION OF THE DRUG PREDNISON E FOR PATIENT WITH ADMISSION ID 114959", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\n# Question: WHAT IS THE ROUTE OF ADMINISTRATION OF THE DRUG PREDNISON E FOR PATIENT WITH ADMISSION ID 114959\n# SQLQuery:\n"}, {"question": "NAME THE DRUGS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 109450", "goldSQL": "SELECT PRESCRIPTIONS.DRUG FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 109450", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: NAME THE DRUGS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 109450\n# SQLQuery:\n"}, {"question": "FOR THE PATIENT HAVING AN ADMISSION ID = 108950, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR DIPHENOXYLATE- ATROPINE", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\n# Question: FOR THE PATIENT HAVING AN ADMISSION ID = 108950, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR DIPHENOXYLATE- ATROPINE\n# SQLQuery:\n"}, {"question": "WHAT IS THE DOSAGE OF FOLIC ACID PRESCRIBED TO THE PATIENT WITH ADMISSION ID 117745", "goldSQL": "SELECT PRESCRIPTIONS.DOSE_VAL_RX, PRESCRIPTIONS.DOSE_UNIT_RX FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 117745 AND PRESCRIPTIONS.DRUG = \"FOLIC ACID\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT IS THE DOSAGE OF FOLIC ACID PRESCRIBED TO THE PATIENT WITH ADMISSION ID 117745\n# SQLQuery:\n"}, {"question": "MENTION THE DRUG INTENSITY OF RANITIDINE HCL PRESCRIBED TO THE PATIENT WHOSE ADMISSION ID IS 181643", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: MENTION THE DRUG INTENSITY OF RANITIDINE HCL PRESCRIBED TO THE PATIENT WHOSE ADMISSION ID IS 181643\n# SQLQuery:\n"}, {"question": "WHAT IS THE STRENGTH OF THE MEDICINE VITAMIN D3 TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 100922", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT IS THE STRENGTH OF THE MEDICINE VITAMIN D3 TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 100922\n# SQLQuery:\n"}, {"question": "WHAT IS THE DOSE OF OMEPRAZOLE THAT THE PATIENT WITH ADMISSION ID = 110135 HAS BEEN PRESCRIBED", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\n# Question: WHAT IS THE DOSE OF OMEPRAZOLE THAT THE PATIENT WITH ADMISSION ID = 110135 HAS BEEN PRESCRIBED\n# SQLQuery:\n"}, {"question": "WHAT IS THE DOSE OF ZOLPIDEM THAT THE PATIENT WITH ADMISSION ID = 120253 HAS BEEN PRESCRIBED", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\n# Question: WHAT IS THE DOSE OF ZOLPIDEM THAT THE PATIENT WITH ADMISSION ID = 120253 HAS BEEN PRESCRIBED\n# SQLQuery:\n"}, {"question": "WHAT IS THE STRENGTH OF THE MEDICINE MAGNESIUM HYDROXIDE TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 102967", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE STRENGTH OF THE MEDICINE MAGNESIUM HYDROXIDE TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 102967\n# SQLQuery:\n"}, {"question": "FOR THE PATIENT HAVING AN ADMISSION ID = 116204, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR HCTZ", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: FOR THE PATIENT HAVING AN ADMISSION ID = 116204, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR HCTZ\n# SQLQuery:\n"}, {"question": "WHAT IS THE ROUTE OF ADMINISTRATION OF THE DRUG NADOLOL FOR PATIENT WITH ADMISSION ID 103639", "goldSQL": "SELECT PRESCRIPTIONS.ROUTE FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 103639 AND PRESCRIPTIONS.DRUG = \"NADOLOL\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT IS THE ROUTE OF ADMINISTRATION OF THE DRUG NADOLOL FOR PATIENT WITH ADMISSION ID 103639\n# SQLQuery:\n"}, {"question": "FOR THE PATIENT HAVING AN ADMISSION ID = 115191, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR INSULIN GLARGINE", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'PROCEDURES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (INTEGER), . The table is: ICD-9 procedure codes with short and long titles{'ROW_ID': 944, 'SUBJECT_ID': 62641, 'HADM_ID': 154460, 'SEQ_NUM': 3, 'ICD9_CODE': 3404}\n\n# Question: FOR THE PATIENT HAVING AN ADMISSION ID = 115191, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR INSULIN GLARGINE\n# SQLQuery:\n"}, {"question": "WHAT IS THE DOSE OF MUPIROCIN CALCIUM THAT THE PATIENT WITH ADMISSION ID = 125206 HAS BEEN PRESCRIBED", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE DOSE OF MUPIROCIN CALCIUM THAT THE PATIENT WITH ADMISSION ID = 125206 HAS BEEN PRESCRIBED\n# SQLQuery:\n"}, {"question": "MENTION THE ROUTE OF ADMINISTRATION FOR THE MEDICINE DOCUSATE SODIUM RECOMMENDED TO THE PATIENT WITH ADMISSION ID = 105050", "goldSQL": "SELECT PRESCRIPTIONS.ROUTE FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 105050 AND PRESCRIPTIONS.DRUG = \"DOCUSATE SODIUM\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'D_ICD_PROCEDURES' has columns: ROW_ID (INTEGER), ICD9_CODE (INTEGER), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: ICD9 procedure codes with short and long titles{'ROW_ID': 264, 'ICD9_CODE': 851, 'SHORT_TITLE': 'CANTHOTOMY', 'LONG_TITLE': 'CANTHOTOMY'}\n\n# Question: MENTION THE ROUTE OF ADMINISTRATION FOR THE MEDICINE DOCUSATE SODIUM RECOMMENDED TO THE PATIENT WITH ADMISSION ID = 105050\n# SQLQuery:\n"}, {"question": "WHAT IS THE DOSE OF ALENDRONATE THAT THE PATIENT WITH ADMISSION ID = 118243 HAS BEEN PRESCRIBED", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE DOSE OF ALENDRONATE THAT THE PATIENT WITH ADMISSION ID = 118243 HAS BEEN PRESCRIBED\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG INTENSITY OF PRILOSEC GIVEN TO THE PATIENT WITH AN ADMISSION ID = 106993", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE DRUG INTENSITY OF PRILOSEC GIVEN TO THE PATIENT WITH AN ADMISSION ID = 106993\n# SQLQuery:\n"}, {"question": "WHAT WAS THE DOSAGE OF CALCIUM CARBONATE THAT WAS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 104468", "goldSQL": "SELECT PRESCRIPTIONS.DOSE_VAL_RX, PRESCRIPTIONS.DOSE_UNIT_RX FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 104468 AND PRESCRIPTIONS.DRUG = \"CALCIUM CARBONATE\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT WAS THE DOSAGE OF CALCIUM CARBONATE THAT WAS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 104468\n# SQLQuery:\n"}, {"question": "FOR THE PATIENT HAVING AN ADMISSION ID = 104271, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR ANTIBIOTICS", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: FOR THE PATIENT HAVING AN ADMISSION ID = 104271, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR ANTIBIOTICS\n# SQLQuery:\n"}, {"question": "WHAT IS THE ROUTE OF ADMINISTRATION OF THE DRUG SULFAMETH/ TRIMETHOPRIM FOR PATIENT WITH ADMISSION ID 114626", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE ROUTE OF ADMINISTRATION OF THE DRUG SULFAMETH/ TRIMETHOPRIM FOR PATIENT WITH ADMISSION ID 114626\n# SQLQuery:\n"}, {"question": "MENTION THE DRUG INTENSITY OF RANITIDINE PRESCRIBED TO THE PATIENT WHOSE ADMISSION ID IS 105954", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: MENTION THE DRUG INTENSITY OF RANITIDINE PRESCRIBED TO THE PATIENT WHOSE ADMISSION ID IS 105954\n# SQLQuery:\n"}, {"question": "MENTION THE FORM OF BISACODYL TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 100035", "goldSQL": "SELECT PRESCRIPTIONS.FORM_UNIT_DISP FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 100035 AND PRESCRIPTIONS.DRUG = \"BISACODYL\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: MENTION THE FORM OF BISACODYL TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 100035\n# SQLQuery:\n"}, {"question": "HOW LONG HAS THE PATIENT WITH ADMISSION ID = 114585 BEEN TAKING PREDNISONE", "goldSQL": "SELECT SUM(PRESCRIPTIONS.DURATION_IN_DAYS) FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 114585 AND PRESCRIPTIONS.DRUG = \"PREDNISONE\" GROUP BY PRESCRIPTIONS.HADM_ID, PRESCRIPTIONS.DRUG", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\n# Question: HOW LONG HAS THE PATIENT WITH ADMISSION ID = 114585 BEEN TAKING PREDNISONE\n# SQLQuery:\n"}, {"question": "MENTION THE FORM OF CLONIDINE TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 166237", "goldSQL": "SELECT PRESCRIPTIONS.FORM_UNIT_DISP FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 166237 AND PRESCRIPTIONS.DRUG = \"CLONIDINE\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: MENTION THE FORM OF CLONIDINE TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 166237\n# SQLQuery:\n"}, {"question": "WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG ALBUTEROL INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 123475", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\n# Question: WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG ALBUTEROL INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 123475\n# SQLQuery:\n"}, {"question": "WHAT IS THE FORM OF CAMPHOR-MENTHOL PRESCRIBED TO THE PATIENT WITH ADMISSION ID 112226", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}\n\n# Question: WHAT IS THE FORM OF CAMPHOR-MENTHOL PRESCRIBED TO THE PATIENT WITH ADMISSION ID 112226\n# SQLQuery:\n"}, {"question": "WHAT IS THE STRENGTH OF THE MEDICINE ACETAMINOPHEN TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 104979", "goldSQL": "SELECT PRESCRIPTIONS.PROD_STRENGTH FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 104979 AND PRESCRIPTIONS.DRUG = \"ACETAMINOPHEN\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE STRENGTH OF THE MEDICINE ACETAMINOPHEN TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 104979\n# SQLQuery:\n"}, {"question": "MENTION THE FORM OF SENNA TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 160574", "goldSQL": "SELECT PRESCRIPTIONS.FORM_UNIT_DISP FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 160574 AND PRESCRIPTIONS.DRUG = \"SENNA\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\n# Question: MENTION THE FORM OF SENNA TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 160574\n# SQLQuery:\n"}, {"question": "WHAT IS THE FORM OF MAALOX PLUS PRESCRIBED TO THE PATIENT WITH ADMISSION ID 157609", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\n# Question: WHAT IS THE FORM OF MAALOX PLUS PRESCRIBED TO THE PATIENT WITH ADMISSION ID 157609\n# SQLQuery:\n"}, {"question": "WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG HEPARIN INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 109724", "goldSQL": "SELECT PRESCRIPTIONS.ROUTE FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 109724 AND PRESCRIPTIONS.DRUG = \"HEPARIN\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG HEPARIN INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 109724\n# SQLQuery:\n"}, {"question": "SPECIFY THE DOSE OF THE MEDICINE HYDRALAZINE PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 105050", "goldSQL": "SELECT PRESCRIPTIONS.DOSE_VAL_RX, PRESCRIPTIONS.DOSE_UNIT_RX FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 105050 AND PRESCRIPTIONS.DRUG = \"HYDRALAZINE\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\n# Question: SPECIFY THE DOSE OF THE MEDICINE HYDRALAZINE PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 105050\n# SQLQuery:\n"}, {"question": "HOW LONG HAS THE PATIENT WITH ADMISSION ID = 102629 BEEN TAKING FUROSEMIDE", "goldSQL": "SELECT SUM(PRESCRIPTIONS.DURATION_IN_DAYS) FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 102629 AND PRESCRIPTIONS.DRUG = \"FUROSEMIDE\" GROUP BY PRESCRIPTIONS.HADM_ID, PRESCRIPTIONS.DRUG", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\n# Question: HOW LONG HAS THE PATIENT WITH ADMISSION ID = 102629 BEEN TAKING FUROSEMIDE\n# SQLQuery:\n"}, {"question": "WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG COUMADIN INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 141586", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG COUMADIN INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 141586\n# SQLQuery:\n"}, {"question": "FOR THE PATIENT HAVING AN ADMISSION ID = 105614, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR ASPIRI N", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: FOR THE PATIENT HAVING AN ADMISSION ID = 105614, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR ASPIRI N\n# SQLQuery:\n"}, {"question": "WHAT IS THE ROUTE OF ADMINISTRATION OF THE DRUG RAMIPRI L FOR PATIENT WITH ADMISSION ID 109866", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\n# Question: WHAT IS THE ROUTE OF ADMINISTRATION OF THE DRUG RAMIPRI L FOR PATIENT WITH ADMISSION ID 109866\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG INTENSITY OF TRIMETHOPRIM-SULFAMETHOXAZOLE GIVEN TO THE PATIENT WITH AN ADMISSION ID = 103761", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\n# Question: WHAT IS THE DRUG INTENSITY OF TRIMETHOPRIM-SULFAMETHOXAZOLE GIVEN TO THE PATIENT WITH AN ADMISSION ID = 103761\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG STRENGTH OF LORAZEPAM PRESCRIBED TO THE PATIENT WITH ADMISSION ID 114901", "goldSQL": "SELECT PRESCRIPTIONS.PROD_STRENGTH FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 114901 AND PRESCRIPTIONS.DRUG = \"LORAZEPAM\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'D_LABITEMS' has columns: ROW_ID (INTEGER), ITEMID (INTEGER), LABEL (VARCHAR), FLUID (VARCHAR), CATEGORY (VARCHAR), LOINC_CODE (VARCHAR), . The table is: This table contains information about various laboratory items, including their fluid, category and loinc code.{'ROW_ID': 546, 'ITEMID': 51346, 'LABEL': 'BLASTS', 'FLUID': 'CEREBROSPINAL FLUID (CSF)', 'CATEGORY': 'HEMATOLOGY', 'LOINC_CODE': '26447-3'}\n\n# Question: WHAT IS THE DRUG STRENGTH OF LORAZEPAM PRESCRIBED TO THE PATIENT WITH ADMISSION ID 114901\n# SQLQuery:\n"}, {"question": "WHAT IS THE DOSE OF PRBCS THAT THE PATIENT WITH ADMISSION ID = 103926 HAS BEEN PRESCRIBED", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE DOSE OF PRBCS THAT THE PATIENT WITH ADMISSION ID = 103926 HAS BEEN PRESCRIBED\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG INTENSITY OF DOPAMINE GIVEN TO THE PATIENT WITH AN ADMISSION ID = 156336", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\n# Question: WHAT IS THE DRUG INTENSITY OF DOPAMINE GIVEN TO THE PATIENT WITH AN ADMISSION ID = 156336\n# SQLQuery:\n"}, {"question": "WHAT IS THE ROUTE OF ADMINISTRATION OF THE DRUG DOPAMINE FOR PATIENT WITH ADMISSION ID 116011", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE ROUTE OF ADMINISTRATION OF THE DRUG DOPAMINE FOR PATIENT WITH ADMISSION ID 116011\n# SQLQuery:\n"}, {"question": "WHAT ARE THE LIST OF MEDICINES PRESCRIBED TO THE PATIENT WITH ADMISSION ID 111840", "goldSQL": "SELECT PRESCRIPTIONS.DRUG FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 111840", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\n# Question: WHAT ARE THE LIST OF MEDICINES PRESCRIBED TO THE PATIENT WITH ADMISSION ID 111840\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG STRENGTH OF CALCITRIOL PRESCRIBED TO THE PATIENT WITH ADMISSION ID 113705", "goldSQL": "SELECT PRESCRIPTIONS.PROD_STRENGTH FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 113705 AND PRESCRIPTIONS.DRUG = \"CALCITRIOL\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE DRUG STRENGTH OF CALCITRIOL PRESCRIBED TO THE PATIENT WITH ADMISSION ID 113705\n# SQLQuery:\n"}, {"question": "WHAT IS THE ROUTE OF ADMINISTRATION OF THE DRUG BICARB FOR PATIENT WITH ADMISSION ID 104271", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE ROUTE OF ADMINISTRATION OF THE DRUG BICARB FOR PATIENT WITH ADMISSION ID 104271\n# SQLQuery:\n"}, {"question": "HOW LONG HAS THE PATIENT WITH ADMISSION ID = 105605 BEEN TAKING LOVENOX", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'D_LABITEMS' has columns: ROW_ID (INTEGER), ITEMID (INTEGER), LABEL (VARCHAR), FLUID (VARCHAR), CATEGORY (VARCHAR), LOINC_CODE (VARCHAR), . The table is: This table contains information about various laboratory items, including their fluid, category and loinc code.{'ROW_ID': 546, 'ITEMID': 51346, 'LABEL': 'BLASTS', 'FLUID': 'CEREBROSPINAL FLUID (CSF)', 'CATEGORY': 'HEMATOLOGY', 'LOINC_CODE': '26447-3'}\n\n# Question: HOW LONG HAS THE PATIENT WITH ADMISSION ID = 105605 BEEN TAKING LOVENOX\n# SQLQuery:\n"}, {"question": "WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG ACETAMINOPHEN INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 129109", "goldSQL": "SELECT PRESCRIPTIONS.ROUTE FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 129109 AND PRESCRIPTIONS.DRUG = \"ACETAMINOPHEN\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG ACETAMINOPHEN INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 129109\n# SQLQuery:\n"}, {"question": "WHAT IS THE FORM OF LEVOTHYROXINE [LEVOXYL] PRESCRIBED TO THE PATIENT WITH ADMISSION ID 113705", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'D_LABITEMS' has columns: ROW_ID (INTEGER), ITEMID (INTEGER), LABEL (VARCHAR), FLUID (VARCHAR), CATEGORY (VARCHAR), LOINC_CODE (VARCHAR), . The table is: This table contains information about various laboratory items, including their fluid, category and loinc code.{'ROW_ID': 546, 'ITEMID': 51346, 'LABEL': 'BLASTS', 'FLUID': 'CEREBROSPINAL FLUID (CSF)', 'CATEGORY': 'HEMATOLOGY', 'LOINC_CODE': '26447-3'}\n\n# Question: WHAT IS THE FORM OF LEVOTHYROXINE [LEVOXYL] PRESCRIBED TO THE PATIENT WITH ADMISSION ID 113705\n# SQLQuery:\n"}, {"question": "WHAT IS THE ROUTE OF ADMINISTRATION OF THE DRUG ATIVAN FOR PATIENT WITH ADMISSION ID 107902", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE ROUTE OF ADMINISTRATION OF THE DRUG ATIVAN FOR PATIENT WITH ADMISSION ID 107902\n# SQLQuery:\n"}, {"question": "MENTION THE DRUG INTENSITY OF IRON PRESCRIBED TO THE PATIENT WHOSE ADMISSION ID IS 130076", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\n# Question: MENTION THE DRUG INTENSITY OF IRON PRESCRIBED TO THE PATIENT WHOSE ADMISSION ID IS 130076\n# SQLQuery:\n"}, {"question": "MENTION THE FORM OF WARFARIN TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 185289", "goldSQL": "SELECT PRESCRIPTIONS.FORM_UNIT_DISP FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 185289 AND PRESCRIPTIONS.DRUG = \"WARFARIN\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: MENTION THE FORM OF WARFARIN TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 185289\n# SQLQuery:\n"}, {"question": "MENTION THE FORM OF PREDNISOLONE TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 106993", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\n# Question: MENTION THE FORM OF PREDNISOLONE TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 106993\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG STRENGTH OF ATORVASTATIN PRESCRIBED TO THE PATIENT WITH ADMISSION ID 149614", "goldSQL": "SELECT PRESCRIPTIONS.PROD_STRENGTH FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 149614 AND PRESCRIPTIONS.DRUG = \"ATORVASTATIN\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT IS THE DRUG STRENGTH OF ATORVASTATIN PRESCRIBED TO THE PATIENT WITH ADMISSION ID 149614\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG INTENSITY OF CARBIDOPA- LEVODOPA GIVEN TO THE PATIENT WITH AN ADMISSION ID = 114513", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE DRUG INTENSITY OF CARBIDOPA- LEVODOPA GIVEN TO THE PATIENT WITH AN ADMISSION ID = 114513\n# SQLQuery:\n"}, {"question": "WHAT IS THE FORM OF ACETAMINOPHEN PRESCRIBED TO THE PATIENT WITH ADMISSION ID 109566", "goldSQL": "SELECT PRESCRIPTIONS.FORM_UNIT_DISP FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 109566 AND PRESCRIPTIONS.DRUG = \"ACETAMINOPHEN\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT IS THE FORM OF ACETAMINOPHEN PRESCRIBED TO THE PATIENT WITH ADMISSION ID 109566\n# SQLQuery:\n"}, {"question": "MENTION THE DRUG INTENSITY OF MEGACE PRESCRIBED TO THE PATIENT WHOSE ADMISSION ID IS 102937", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\n# Question: MENTION THE DRUG INTENSITY OF MEGACE PRESCRIBED TO THE PATIENT WHOSE ADMISSION ID IS 102937\n# SQLQuery:\n"}, {"question": "MENTION THE ROUTE OF ADMINISTRATION FOR THE MEDICINE COUMADIN RECOMMENDED TO THE PATIENT WITH ADMISSION ID = 104757", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}\n\n# Question: MENTION THE ROUTE OF ADMINISTRATION FOR THE MEDICINE COUMADIN RECOMMENDED TO THE PATIENT WITH ADMISSION ID = 104757\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG INTENSITY OF DAKIN'S SOLUTION GIVEN TO THE PATIENT WITH AN ADMISSION ID = 104948", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\n# Question: WHAT IS THE DRUG INTENSITY OF DAKIN'S SOLUTION GIVEN TO THE PATIENT WITH AN ADMISSION ID = 104948\n# SQLQuery:\n"}, {"question": "WHAT IS THE ROUTE OF ADMINISTRATION OF THE DRUG PROPOFOL FOR PATIENT WITH ADMISSION ID 111923", "goldSQL": "SELECT PRESCRIPTIONS.ROUTE FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 111923 AND PRESCRIPTIONS.DRUG = \"PROPOFOL\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'PROCEDURES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (INTEGER), . The table is: ICD-9 procedure codes with short and long titles{'ROW_ID': 944, 'SUBJECT_ID': 62641, 'HADM_ID': 154460, 'SEQ_NUM': 3, 'ICD9_CODE': 3404}\n\n# Question: WHAT IS THE ROUTE OF ADMINISTRATION OF THE DRUG PROPOFOL FOR PATIENT WITH ADMISSION ID 111923\n# SQLQuery:\n"}, {"question": "WHAT IS THE FORM OF SIMVASTATIN PRESCRIBED TO THE PATIENT WITH ADMISSION ID 105445", "goldSQL": "SELECT PRESCRIPTIONS.FORM_UNIT_DISP FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 105445 AND PRESCRIPTIONS.DRUG = \"SIMVASTATIN\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE FORM OF SIMVASTATIN PRESCRIBED TO THE PATIENT WITH ADMISSION ID 105445\n# SQLQuery:\n"}, {"question": "WHAT IS THE STRENGTH OF THE MEDICINE FERROUS SULFATE TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 120237", "goldSQL": "SELECT PRESCRIPTIONS.PROD_STRENGTH FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 120237 AND PRESCRIPTIONS.DRUG = \"FERROUS SULFATE\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE STRENGTH OF THE MEDICINE FERROUS SULFATE TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 120237\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG STRENGTH OF TACROLIMUS PRESCRIBED TO THE PATIENT WITH ADMISSION ID 105014", "goldSQL": "SELECT PRESCRIPTIONS.PROD_STRENGTH FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 105014 AND PRESCRIPTIONS.DRUG = \"TACROLIMUS\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\n# Question: WHAT IS THE DRUG STRENGTH OF TACROLIMUS PRESCRIBED TO THE PATIENT WITH ADMISSION ID 105014\n# SQLQuery:\n"}, {"question": "MENTION THE ROUTE OF ADMINISTRATION FOR THE MEDICINE FLUIDS RECOMMENDED TO THE PATIENT WITH ADMISSION ID = 166237", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'D_LABITEMS' has columns: ROW_ID (INTEGER), ITEMID (INTEGER), LABEL (VARCHAR), FLUID (VARCHAR), CATEGORY (VARCHAR), LOINC_CODE (VARCHAR), . The table is: This table contains information about various laboratory items, including their fluid, category and loinc code.{'ROW_ID': 546, 'ITEMID': 51346, 'LABEL': 'BLASTS', 'FLUID': 'CEREBROSPINAL FLUID (CSF)', 'CATEGORY': 'HEMATOLOGY', 'LOINC_CODE': '26447-3'}\n\n# Question: MENTION THE ROUTE OF ADMINISTRATION FOR THE MEDICINE FLUIDS RECOMMENDED TO THE PATIENT WITH ADMISSION ID = 166237\n# SQLQuery:\n"}, {"question": "WHAT WAS THE DOSAGE OF METOPROLOL TARTRATE THAT WAS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 153141", "goldSQL": "SELECT PRESCRIPTIONS.DOSE_VAL_RX, PRESCRIPTIONS.DOSE_UNIT_RX FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 153141 AND PRESCRIPTIONS.DRUG = \"METOPROLOL TARTRATE\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT WAS THE DOSAGE OF METOPROLOL TARTRATE THAT WAS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 153141\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG INTENSITY OF SALMETEROL XINAFOATE GIVEN TO THE PATIENT WITH AN ADMISSION ID = 108816", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT IS THE DRUG INTENSITY OF SALMETEROL XINAFOATE GIVEN TO THE PATIENT WITH AN ADMISSION ID = 108816\n# SQLQuery:\n"}, {"question": "FOR THE PATIENT HAVING AN ADMISSION ID = 110559, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR LAMOTRIGINE", "goldSQL": "SELECT PRESCRIPTIONS.ROUTE FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 110559 AND PRESCRIPTIONS.DRUG = \"LAMOTRIGINE\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: FOR THE PATIENT HAVING AN ADMISSION ID = 110559, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR LAMOTRIGINE\n# SQLQuery:\n"}, {"question": "WHAT IS THE DOSAGE OF POTASSIUM CHLORIDE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 108343", "goldSQL": "SELECT PRESCRIPTIONS.DOSE_VAL_RX, PRESCRIPTIONS.DOSE_UNIT_RX FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 108343 AND PRESCRIPTIONS.DRUG = \"POTASSIUM CHLORIDE\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\n# Question: WHAT IS THE DOSAGE OF POTASSIUM CHLORIDE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 108343\n# SQLQuery:\n"}, {"question": "MENTION THE FORM OF REPAGLINIDE TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 100759", "goldSQL": "SELECT PRESCRIPTIONS.FORM_UNIT_DISP FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 100759 AND PRESCRIPTIONS.DRUG = \"REPAGLINIDE\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: MENTION THE FORM OF REPAGLINIDE TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 100759\n# SQLQuery:\n"}, {"question": "MENTION THE FORM OF PANTOPRAZOLE TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 101665", "goldSQL": "SELECT PRESCRIPTIONS.FORM_UNIT_DISP FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 101665 AND PRESCRIPTIONS.DRUG = \"PANTOPRAZOLE\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: MENTION THE FORM OF PANTOPRAZOLE TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 101665\n# SQLQuery:\n"}, {"question": "WHAT IS THE DOSAGE OF MICONAZOLE NITRATE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 100579", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\n# Question: WHAT IS THE DOSAGE OF MICONAZOLE NITRATE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 100579\n# SQLQuery:\n"}, {"question": "WHAT IS THE DOSE OF SENNA THAT THE PATIENT WITH ADMISSION ID = 121702 HAS BEEN PRESCRIBED", "goldSQL": "SELECT PRESCRIPTIONS.DOSE_VAL_RX, PRESCRIPTIONS.DOSE_UNIT_RX FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 121702 AND PRESCRIPTIONS.DRUG = \"SENNA\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT IS THE DOSE OF SENNA THAT THE PATIENT WITH ADMISSION ID = 121702 HAS BEEN PRESCRIBED\n# SQLQuery:\n"}, {"question": "WHAT IS THE DOSAGE OF DEXAMETHASONE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 104757", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE DOSAGE OF DEXAMETHASONE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 104757\n# SQLQuery:\n"}, {"question": "WHAT IS THE DOSAGE OF NS PRESCRIBED TO THE PATIENT WITH ADMISSION ID 151483", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\n# Question: WHAT IS THE DOSAGE OF NS PRESCRIBED TO THE PATIENT WITH ADMISSION ID 151483\n# SQLQuery:\n"}, {"question": "WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG SERTRALINE INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 123822", "goldSQL": "SELECT PRESCRIPTIONS.ROUTE FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 123822 AND PRESCRIPTIONS.DRUG = \"SERTRALINE\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG SERTRALINE INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 123822\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG STRENGTH OF PREDNISONE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 115433", "goldSQL": "SELECT PRESCRIPTIONS.PROD_STRENGTH FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 115433 AND PRESCRIPTIONS.DRUG = \"PREDNISONE\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\n# Question: WHAT IS THE DRUG STRENGTH OF PREDNISONE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 115433\n# SQLQuery:\n"}, {"question": "WHAT IS THE ROUTE OF ADMINISTRATION OF THE DRUG VITAMIN D2 FOR PATIENT WITH ADMISSION ID 185800", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\n# Question: WHAT IS THE ROUTE OF ADMINISTRATION OF THE DRUG VITAMIN D2 FOR PATIENT WITH ADMISSION ID 185800\n# SQLQuery:\n"}, {"question": "MENTION THE DRUG INTENSITY OF PROAIR HFA PRESCRIBED TO THE PATIENT WHOSE ADMISSION ID IS 152612", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\n# Question: MENTION THE DRUG INTENSITY OF PROAIR HFA PRESCRIBED TO THE PATIENT WHOSE ADMISSION ID IS 152612\n# SQLQuery:\n"}, {"question": "HOW LONG HAS THE PATIENT WITH ADMISSION ID = 113333 BEEN TAKING PACLITAXEL", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PROCEDURES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (INTEGER), . The table is: ICD-9 procedure codes with short and long titles{'ROW_ID': 944, 'SUBJECT_ID': 62641, 'HADM_ID': 154460, 'SEQ_NUM': 3, 'ICD9_CODE': 3404}\n\n# Question: HOW LONG HAS THE PATIENT WITH ADMISSION ID = 113333 BEEN TAKING PACLITAXEL\n# SQLQuery:\n"}, {"question": "WHAT IS THE STRENGTH OF THE MEDICINE CIPROFLOXACIN TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 106967", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE STRENGTH OF THE MEDICINE CIPROFLOXACIN TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 106967\n# SQLQuery:\n"}, {"question": "MENTION THE FORM OF METOPROLOL TARTRATE TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 168331", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\n# Question: MENTION THE FORM OF METOPROLOL TARTRATE TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 168331\n# SQLQuery:\n"}, {"question": "WHAT IS THE ROUTE OF ADMINISTRATION OF THE DRUG MORPHINE FOR PATIENT WITH ADMISSION ID 100039", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT IS THE ROUTE OF ADMINISTRATION OF THE DRUG MORPHINE FOR PATIENT WITH ADMISSION ID 100039\n# SQLQuery:\n"}, {"question": "WHAT IS THE FORM OF LEVOFLOXACIN PRESCRIBED TO THE PATIENT WITH ADMISSION ID 102045", "goldSQL": "SELECT PRESCRIPTIONS.FORM_UNIT_DISP FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 102045 AND PRESCRIPTIONS.DRUG = \"LEVOFLOXACIN\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT IS THE FORM OF LEVOFLOXACIN PRESCRIBED TO THE PATIENT WITH ADMISSION ID 102045\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG STRENGTH OF HEPARIN, PORCINE (PF) PRESCRIBED TO THE PATIENT WITH ADMISSION ID 109617", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\n# Question: WHAT IS THE DRUG STRENGTH OF HEPARIN, PORCINE (PF) PRESCRIBED TO THE PATIENT WITH ADMISSION ID 109617\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG STRENGTH OF TORSEMIDE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 100039", "goldSQL": "SELECT PRESCRIPTIONS.PROD_STRENGTH FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 100039 AND PRESCRIPTIONS.DRUG = \"TORSEMIDE\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT IS THE DRUG STRENGTH OF TORSEMIDE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 100039\n# SQLQuery:\n"}, {"question": "WHAT IS THE DOSE OF NS THAT THE PATIENT WITH ADMISSION ID = 187736 HAS BEEN PRESCRIBED", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\n# Question: WHAT IS THE DOSE OF NS THAT THE PATIENT WITH ADMISSION ID = 187736 HAS BEEN PRESCRIBED\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG STRENGTH OF FUROSEMIDE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 108901", "goldSQL": "SELECT PRESCRIPTIONS.PROD_STRENGTH FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 108901 AND PRESCRIPTIONS.DRUG = \"FUROSEMIDE\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT IS THE DRUG STRENGTH OF FUROSEMIDE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 108901\n# SQLQuery:\n"}, {"question": "WHAT ARE THE LIST OF MEDICINES PRESCRIBED TO THE PATIENT WITH ADMISSION ID 108539", "goldSQL": "SELECT PRESCRIPTIONS.DRUG FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 108539", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\n# Question: WHAT ARE THE LIST OF MEDICINES PRESCRIBED TO THE PATIENT WITH ADMISSION ID 108539\n# SQLQuery:\n"}, {"question": "WHAT WAS THE DOSAGE OF INSULIN REGULAR HUMAN THAT WAS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 125281", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT WAS THE DOSAGE OF INSULIN REGULAR HUMAN THAT WAS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 125281\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG INTENSITY OF DOCUSATE SODIUM GIVEN TO THE PATIENT WITH AN ADMISSION ID = 175890", "goldSQL": "SELECT PRESCRIPTIONS.PROD_STRENGTH FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 175890 AND PRESCRIPTIONS.DRUG = \"DOCUSATE SODIUM\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\n# Question: WHAT IS THE DRUG INTENSITY OF DOCUSATE SODIUM GIVEN TO THE PATIENT WITH AN ADMISSION ID = 175890\n# SQLQuery:\n"}, {"question": "WHAT IS THE FORM OF NITROGLYCERIN PRESCRIBED TO THE PATIENT WITH ADMISSION ID 100590", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\n# Question: WHAT IS THE FORM OF NITROGLYCERIN PRESCRIBED TO THE PATIENT WITH ADMISSION ID 100590\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG STRENGTH OF COUMADIN PRESCRIBED TO THE PATIENT WITH ADMISSION ID 141586", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE DRUG STRENGTH OF COUMADIN PRESCRIBED TO THE PATIENT WITH ADMISSION ID 141586\n# SQLQuery:\n"}, {"question": "WHAT IS THE DOSE OF ACETAMINOPHEN THAT THE PATIENT WITH ADMISSION ID = 109176 HAS BEEN PRESCRIBED", "goldSQL": "SELECT PRESCRIPTIONS.DOSE_VAL_RX, PRESCRIPTIONS.DOSE_UNIT_RX FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 109176 AND PRESCRIPTIONS.DRUG = \"ACETAMINOPHEN\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT IS THE DOSE OF ACETAMINOPHEN THAT THE PATIENT WITH ADMISSION ID = 109176 HAS BEEN PRESCRIBED\n# SQLQuery:\n"}, {"question": "WHAT IS THE FORM OF POLYETHYLENE GLYCOL 3350 PRESCRIBED TO THE PATIENT WITH ADMISSION ID 109176", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE FORM OF POLYETHYLENE GLYCOL 3350 PRESCRIBED TO THE PATIENT WITH ADMISSION ID 109176\n# SQLQuery:\n"}, {"question": "WHAT IS THE DOSAGE OF HUMALOG PRESCRIBED TO THE PATIENT WITH ADMISSION ID 116451", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\n# Question: WHAT IS THE DOSAGE OF HUMALOG PRESCRIBED TO THE PATIENT WITH ADMISSION ID 116451\n# SQLQuery:\n"}, {"question": "WHAT IS THE DOSAGE OF OXYCODONE- ACETAMINOPHEN PRESCRIBED TO THE PATIENT WITH ADMISSION ID 113524", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE DOSAGE OF OXYCODONE- ACETAMINOPHEN PRESCRIBED TO THE PATIENT WITH ADMISSION ID 113524\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG STRENGTH OF LISINOPRIL PRESCRIBED TO THE PATIENT WITH ADMISSION ID 120301", "goldSQL": "SELECT PRESCRIPTIONS.PROD_STRENGTH FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 120301 AND PRESCRIPTIONS.DRUG = \"LISINOPRIL\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'D_LABITEMS' has columns: ROW_ID (INTEGER), ITEMID (INTEGER), LABEL (VARCHAR), FLUID (VARCHAR), CATEGORY (VARCHAR), LOINC_CODE (VARCHAR), . The table is: This table contains information about various laboratory items, including their fluid, category and loinc code.{'ROW_ID': 546, 'ITEMID': 51346, 'LABEL': 'BLASTS', 'FLUID': 'CEREBROSPINAL FLUID (CSF)', 'CATEGORY': 'HEMATOLOGY', 'LOINC_CODE': '26447-3'}\n\n# Question: WHAT IS THE DRUG STRENGTH OF LISINOPRIL PRESCRIBED TO THE PATIENT WITH ADMISSION ID 120301\n# SQLQuery:\n"}, {"question": "WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG SOLUMEDROL INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 102357", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG SOLUMEDROL INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 102357\n# SQLQuery:\n"}, {"question": "WHAT IS THE DOSAGE OF COLACE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 104929", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE DOSAGE OF COLACE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 104929\n# SQLQuery:\n"}, {"question": "WHAT IS THE DOSE OF ISOSORBIDE MONONITRATE THAT THE PATIENT WITH ADMISSION ID = 143451 HAS BEEN PRESCRIBED", "goldSQL": "SELECT PRESCRIPTIONS.DOSE_VAL_RX, PRESCRIPTIONS.DOSE_UNIT_RX FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 143451 AND PRESCRIPTIONS.DRUG = \"ISOSORBIDE MONONITRATE\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\n# Question: WHAT IS THE DOSE OF ISOSORBIDE MONONITRATE THAT THE PATIENT WITH ADMISSION ID = 143451 HAS BEEN PRESCRIBED\n# SQLQuery:\n"}, {"question": "FOR THE PATIENT HAVING AN ADMISSION ID = 106384, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR ENOXAPARIN", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\n# Question: FOR THE PATIENT HAVING AN ADMISSION ID = 106384, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR ENOXAPARIN\n# SQLQuery:\n"}, {"question": "FOR THE PATIENT HAVING AN ADMISSION ID = 102557, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR HEPARIN", "goldSQL": "SELECT PRESCRIPTIONS.ROUTE FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 102557 AND PRESCRIPTIONS.DRUG = \"HEPARIN\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: FOR THE PATIENT HAVING AN ADMISSION ID = 102557, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR HEPARIN\n# SQLQuery:\n"}, {"question": "MENTION THE FORM OF PROPAFENONE [RYTHMOL SR] TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 114923", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: MENTION THE FORM OF PROPAFENONE [RYTHMOL SR] TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 114923\n# SQLQuery:\n"}, {"question": "WHAT IS THE DOSAGE OF LORAZEPA M PRESCRIBED TO THE PATIENT WITH ADMISSION ID 110753", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\n# Question: WHAT IS THE DOSAGE OF LORAZEPA M PRESCRIBED TO THE PATIENT WITH ADMISSION ID 110753\n# SQLQuery:\n"}, {"question": "WHAT IS THE FORM OF ATIVAN PRESCRIBED TO THE PATIENT WITH ADMISSION ID 107515", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE FORM OF ATIVAN PRESCRIBED TO THE PATIENT WITH ADMISSION ID 107515\n# SQLQuery:\n"}, {"question": "FOR THE PATIENT HAVING AN ADMISSION ID = 104446, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR FLUTICASONE -SALMETEROL", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\n# Question: FOR THE PATIENT HAVING AN ADMISSION ID = 104446, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR FLUTICASONE -SALMETEROL\n# SQLQuery:\n"}, {"question": "WHAT IS THE DOSAGE OF PLATELETS PRESCRIBED TO THE PATIENT WITH ADMISSION ID 100549", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT IS THE DOSAGE OF PLATELETS PRESCRIBED TO THE PATIENT WITH ADMISSION ID 100549\n# SQLQuery:\n"}, {"question": "MENTION THE FORM OF ALBUTEROL TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 112942", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}\n\n# Question: MENTION THE FORM OF ALBUTEROL TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 112942\n# SQLQuery:\n"}, {"question": "WHAT IS THE FORM OF BISACODYL PRESCRIBED TO THE PATIENT WITH ADMISSION ID 109566", "goldSQL": "SELECT PRESCRIPTIONS.FORM_UNIT_DISP FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 109566 AND PRESCRIPTIONS.DRUG = \"BISACODYL\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\n# Question: WHAT IS THE FORM OF BISACODYL PRESCRIBED TO THE PATIENT WITH ADMISSION ID 109566\n# SQLQuery:\n"}, {"question": "MENTION THE ROUTE OF ADMINISTRATION FOR THE MEDICINE SARNA ANTI-ITCH RECOMMENDED TO THE PATIENT WITH ADMISSION ID = 112368", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}\n\n# Question: MENTION THE ROUTE OF ADMINISTRATION FOR THE MEDICINE SARNA ANTI-ITCH RECOMMENDED TO THE PATIENT WITH ADMISSION ID = 112368\n# SQLQuery:\n"}, {"question": "WHAT IS THE STRENGTH OF THE MEDICINE NEXIUM TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 115191", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE STRENGTH OF THE MEDICINE NEXIUM TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 115191\n# SQLQuery:\n"}, {"question": "MENTION THE DRUG INTENSITY OF LIPITOR PRESCRIBED TO THE PATIENT WHOSE ADMISSION ID IS 112832", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\n# Question: MENTION THE DRUG INTENSITY OF LIPITOR PRESCRIBED TO THE PATIENT WHOSE ADMISSION ID IS 112832\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG STRENGTH OF TRAZODONE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 112140", "goldSQL": "SELECT PRESCRIPTIONS.PROD_STRENGTH FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 112140 AND PRESCRIPTIONS.DRUG = \"TRAZODONE\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE DRUG STRENGTH OF TRAZODONE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 112140\n# SQLQuery:\n"}, {"question": "FOR THE PATIENT HAVING AN ADMISSION ID = 116901, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR METFORMIN", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\n# Question: FOR THE PATIENT HAVING AN ADMISSION ID = 116901, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR METFORMIN\n# SQLQuery:\n"}, {"question": "MENTION THE FORM OF ATENOLO L TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 174339", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\n# Question: MENTION THE FORM OF ATENOLO L TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 174339\n# SQLQuery:\n"}, {"question": "WHAT IS THE STRENGTH OF THE MEDICINE GLIPIZIDE TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 197869", "goldSQL": "SELECT PRESCRIPTIONS.PROD_STRENGTH FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 197869 AND PRESCRIPTIONS.DRUG = \"GLIPIZIDE\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT IS THE STRENGTH OF THE MEDICINE GLIPIZIDE TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 197869\n# SQLQuery:\n"}, {"question": "WHAT IS THE ROUTE OF ADMINISTRATION OF THE DRUG METOPROLOL FOR PATIENT WITH ADMISSION ID 105106", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT IS THE ROUTE OF ADMINISTRATION OF THE DRUG METOPROLOL FOR PATIENT WITH ADMISSION ID 105106\n# SQLQuery:\n"}, {"question": "WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG ALBUMIN INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 116903", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG ALBUMIN INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 116903\n# SQLQuery:\n"}, {"question": "WHAT IS THE FORM OF TYLENOL PRESCRIBED TO THE PATIENT WITH ADMISSION ID 190444", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE FORM OF TYLENOL PRESCRIBED TO THE PATIENT WITH ADMISSION ID 190444\n# SQLQuery:\n"}, {"question": "WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG ALENDRONATE INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 122057", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG ALENDRONATE INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 122057\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG STRENGTH OF CLONAZEPA M PRESCRIBED TO THE PATIENT WITH ADMISSION ID 107047", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\n# Question: WHAT IS THE DRUG STRENGTH OF CLONAZEPA M PRESCRIBED TO THE PATIENT WITH ADMISSION ID 107047\n# SQLQuery:\n"}, {"question": "WHAT IS THE FORM OF IBUPROFEN PRESCRIBED TO THE PATIENT WITH ADMISSION ID 193079", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE FORM OF IBUPROFEN PRESCRIBED TO THE PATIENT WITH ADMISSION ID 193079\n# SQLQuery:\n"}, {"question": "WHAT IS THE DOSE OF ACYCLOVIR THAT THE PATIENT WITH ADMISSION ID = 113824 HAS BEEN PRESCRIBED", "goldSQL": "SELECT PRESCRIPTIONS.DOSE_VAL_RX, PRESCRIPTIONS.DOSE_UNIT_RX FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 113824 AND PRESCRIPTIONS.DRUG = \"ACYCLOVIR\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}\n\n# Question: WHAT IS THE DOSE OF ACYCLOVIR THAT THE PATIENT WITH ADMISSION ID = 113824 HAS BEEN PRESCRIBED\n# SQLQuery:\n"}, {"question": "FOR THE PATIENT HAVING AN ADMISSION ID = 186134, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR FLUTICASONE", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\n# Question: FOR THE PATIENT HAVING AN ADMISSION ID = 186134, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR FLUTICASONE\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG STRENGTH OF SALMETEROL XINAFOATE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 121116", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT IS THE DRUG STRENGTH OF SALMETEROL XINAFOATE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 121116\n# SQLQuery:\n"}, {"question": "FOR THE PATIENT HAVING AN ADMISSION ID = 109697, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR FOLIC ACID", "goldSQL": "SELECT PRESCRIPTIONS.ROUTE FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 109697 AND PRESCRIPTIONS.DRUG = \"FOLIC ACID\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\n# Question: FOR THE PATIENT HAVING AN ADMISSION ID = 109697, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR FOLIC ACID\n# SQLQuery:\n"}, {"question": "WHAT IS THE ROUTE OF ADMINISTRATION OF THE DRUG LOPERAMIDE FOR PATIENT WITH ADMISSION ID 133235", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'D_LABITEMS' has columns: ROW_ID (INTEGER), ITEMID (INTEGER), LABEL (VARCHAR), FLUID (VARCHAR), CATEGORY (VARCHAR), LOINC_CODE (VARCHAR), . The table is: This table contains information about various laboratory items, including their fluid, category and loinc code.{'ROW_ID': 546, 'ITEMID': 51346, 'LABEL': 'BLASTS', 'FLUID': 'CEREBROSPINAL FLUID (CSF)', 'CATEGORY': 'HEMATOLOGY', 'LOINC_CODE': '26447-3'}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\n# Question: WHAT IS THE ROUTE OF ADMINISTRATION OF THE DRUG LOPERAMIDE FOR PATIENT WITH ADMISSION ID 133235\n# SQLQuery:\n"}, {"question": "WHAT IS THE DOSE OF PRBCS THAT THE PATIENT WITH ADMISSION ID = 110521 HAS BEEN PRESCRIBED", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\n# Question: WHAT IS THE DOSE OF PRBCS THAT THE PATIENT WITH ADMISSION ID = 110521 HAS BEEN PRESCRIBED\n# SQLQuery:\n"}, {"question": "WHAT IS THE DOSAGE OF RIFAXIMI N PRESCRIBED TO THE PATIENT WITH ADMISSION ID 103315", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE DOSAGE OF RIFAXIMI N PRESCRIBED TO THE PATIENT WITH ADMISSION ID 103315\n# SQLQuery:\n"}, {"question": "WHAT IS THE DOSAGE OF FLUCONAZOLE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 104948", "goldSQL": "SELECT PRESCRIPTIONS.DOSE_VAL_RX, PRESCRIPTIONS.DOSE_UNIT_RX FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 104948 AND PRESCRIPTIONS.DRUG = \"FLUCONAZOLE\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\n# Question: WHAT IS THE DOSAGE OF FLUCONAZOLE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 104948\n# SQLQuery:\n"}, {"question": "WHAT IS THE DOSAGE OF METOPROLOL TARTRATE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 111274", "goldSQL": "SELECT PRESCRIPTIONS.DOSE_VAL_RX, PRESCRIPTIONS.DOSE_UNIT_RX FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 111274 AND PRESCRIPTIONS.DRUG = \"METOPROLOL TARTRATE\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\n# Question: WHAT IS THE DOSAGE OF METOPROLOL TARTRATE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 111274\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG STRENGTH OF GABAPENTIN PRESCRIBED TO THE PATIENT WITH ADMISSION ID 119573", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\n# Question: WHAT IS THE DRUG STRENGTH OF GABAPENTIN PRESCRIBED TO THE PATIENT WITH ADMISSION ID 119573\n# SQLQuery:\n"}, {"question": "WHAT IS THE STRENGTH OF THE MEDICINE VALSARTAN TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 143451", "goldSQL": "SELECT PRESCRIPTIONS.PROD_STRENGTH FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 143451 AND PRESCRIPTIONS.DRUG = \"VALSARTAN\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT IS THE STRENGTH OF THE MEDICINE VALSARTAN TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 143451\n# SQLQuery:\n"}, {"question": "WHAT IS THE FORM OF ZINC SULFATE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 115433", "goldSQL": "SELECT PRESCRIPTIONS.FORM_UNIT_DISP FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 115433 AND PRESCRIPTIONS.DRUG = \"ZINC SULFATE\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\n# Question: WHAT IS THE FORM OF ZINC SULFATE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 115433\n# SQLQuery:\n"}, {"question": "FOR THE PATIENT HAVING AN ADMISSION ID = 141586, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR VITAMIN D", "goldSQL": "SELECT PRESCRIPTIONS.ROUTE FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 141586 AND PRESCRIPTIONS.DRUG = \"VITAMIN D\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\n# Question: FOR THE PATIENT HAVING AN ADMISSION ID = 141586, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR VITAMIN D\n# SQLQuery:\n"}, {"question": "WHAT IS THE FORM OF CITALOPRA M PRESCRIBED TO THE PATIENT WITH ADMISSION ID 107047", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\n# Question: WHAT IS THE FORM OF CITALOPRA M PRESCRIBED TO THE PATIENT WITH ADMISSION ID 107047\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG STRENGTH OF ATORVASTATI N PRESCRIBED TO THE PATIENT WITH ADMISSION ID 149614", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT IS THE DRUG STRENGTH OF ATORVASTATI N PRESCRIBED TO THE PATIENT WITH ADMISSION ID 149614\n# SQLQuery:\n"}, {"question": "MENTION THE TOTAL DURATION DURING WHICH THE PATIENT WITH ADMISSION ID = 115267 HAS BEEN TAKING BACTRIM", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\n# Question: MENTION THE TOTAL DURATION DURING WHICH THE PATIENT WITH ADMISSION ID = 115267 HAS BEEN TAKING BACTRIM\n# SQLQuery:\n"}, {"question": "WHAT IS THE STRENGTH OF THE MEDICINE LISINOPRI L TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 185013", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE STRENGTH OF THE MEDICINE LISINOPRI L TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 185013\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG STRENGTH OF PREDNISONE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 117745", "goldSQL": "SELECT PRESCRIPTIONS.PROD_STRENGTH FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 117745 AND PRESCRIPTIONS.DRUG = \"PREDNISONE\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE DRUG STRENGTH OF PREDNISONE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 117745\n# SQLQuery:\n"}, {"question": "WHAT IS THE FORM OF TRIMETHOPRIM- SULFAMETHOXAZOLE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 114626", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE FORM OF TRIMETHOPRIM- SULFAMETHOXAZOLE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 114626\n# SQLQuery:\n"}, {"question": "WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG VITAMIN K INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 164253", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG VITAMIN K INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 164253\n# SQLQuery:\n"}, {"question": "WHAT IS THE FORM OF LATANOPROST PRESCRIBED TO THE PATIENT WITH ADMISSION ID 143451", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE FORM OF LATANOPROST PRESCRIBED TO THE PATIENT WITH ADMISSION ID 143451\n# SQLQuery:\n"}, {"question": "WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG PLAVIX INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 160574", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG PLAVIX INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 160574\n# SQLQuery:\n"}, {"question": "FOR THE PATIENT HAVING AN ADMISSION ID = 105547, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR LEVOFLOXACI N", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\n# Question: FOR THE PATIENT HAVING AN ADMISSION ID = 105547, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR LEVOFLOXACI N\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG STRENGTH OF DEX PRESCRIBED TO THE PATIENT WITH ADMISSION ID 101372", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE DRUG STRENGTH OF DEX PRESCRIBED TO THE PATIENT WITH ADMISSION ID 101372\n# SQLQuery:\n"}, {"question": "HOW LONG HAS THE PATIENT WITH ADMISSION ID = 117156 BEEN TAKING PRBCS", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\n# Question: HOW LONG HAS THE PATIENT WITH ADMISSION ID = 117156 BEEN TAKING PRBCS\n# SQLQuery:\n"}, {"question": "WHAT IS THE FORM OF ONDANSETRON HCL PRESCRIBED TO THE PATIENT WITH ADMISSION ID 127263", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\n# Question: WHAT IS THE FORM OF ONDANSETRON HCL PRESCRIBED TO THE PATIENT WITH ADMISSION ID 127263\n# SQLQuery:\n"}, {"question": "MENTION THE FORM OF NYSTATIN TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 104095", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: MENTION THE FORM OF NYSTATIN TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 104095\n# SQLQuery:\n"}, {"question": "HOW LONG HAS THE PATIENT WITH ADMISSION ID = 115021 BEEN TAKING MUPIROCIN CALCIUM", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\n# Question: HOW LONG HAS THE PATIENT WITH ADMISSION ID = 115021 BEEN TAKING MUPIROCIN CALCIUM\n# SQLQuery:\n"}, {"question": "WHAT IS THE STRENGTH OF THE MEDICINE FLUTICASONE-SALMETEROL TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 100187", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE STRENGTH OF THE MEDICINE FLUTICASONE-SALMETEROL TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 100187\n# SQLQuery:\n"}, {"question": "WHAT IS THE DOSAGE OF NS PRESCRIBED TO THE PATIENT WITH ADMISSION ID 113840", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE DOSAGE OF NS PRESCRIBED TO THE PATIENT WITH ADMISSION ID 113840\n# SQLQuery:\n"}, {"question": "WHAT WAS THE DOSAGE OF CHOLECALCIFEROL (VITAMIN D3) THAT WAS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 106792", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT WAS THE DOSAGE OF CHOLECALCIFEROL (VITAMIN D3) THAT WAS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 106792\n# SQLQuery:\n"}, {"question": "WHAT WAS THE DOSAGE OF DOCUSATE SODIUM THAT WAS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 125206", "goldSQL": "SELECT PRESCRIPTIONS.DOSE_VAL_RX, PRESCRIPTIONS.DOSE_UNIT_RX FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 125206 AND PRESCRIPTIONS.DRUG = \"DOCUSATE SODIUM\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT WAS THE DOSAGE OF DOCUSATE SODIUM THAT WAS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 125206\n# SQLQuery:\n"}, {"question": "WHAT IS THE STRENGTH OF THE MEDICINE COLACE TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 109450", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\n# Question: WHAT IS THE STRENGTH OF THE MEDICINE COLACE TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 109450\n# SQLQuery:\n"}, {"question": "WHAT IS THE STRENGTH OF THE MEDICINE BENADRYL TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 105050", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE STRENGTH OF THE MEDICINE BENADRYL TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 105050\n# SQLQuery:\n"}, {"question": "WHAT IS THE FORM OF DIVALPROEX PRESCRIBED TO THE PATIENT WITH ADMISSION ID 104021", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\n# Question: WHAT IS THE FORM OF DIVALPROEX PRESCRIBED TO THE PATIENT WITH ADMISSION ID 104021\n# SQLQuery:\n"}, {"question": "WHAT IS THE FORM OF TAMSULOSIN PRESCRIBED TO THE PATIENT WITH ADMISSION ID 124142", "goldSQL": "SELECT PRESCRIPTIONS.FORM_UNIT_DISP FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 124142 AND PRESCRIPTIONS.DRUG = \"TAMSULOSIN\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT IS THE FORM OF TAMSULOSIN PRESCRIBED TO THE PATIENT WITH ADMISSION ID 124142\n# SQLQuery:\n"}, {"question": "WHAT IS THE DOSE OF ALENDRONATE THAT THE PATIENT WITH ADMISSION ID = 100590 HAS BEEN PRESCRIBED", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE DOSE OF ALENDRONATE THAT THE PATIENT WITH ADMISSION ID = 100590 HAS BEEN PRESCRIBED\n# SQLQuery:\n"}, {"question": "WHAT IS THE ROUTE OF ADMINISTRATION OF THE DRUG LEVOTHYROXINE FOR PATIENT WITH ADMISSION ID 107421", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\n# Question: WHAT IS THE ROUTE OF ADMINISTRATION OF THE DRUG LEVOTHYROXINE FOR PATIENT WITH ADMISSION ID 107421\n# SQLQuery:\n"}, {"question": "WHAT IS THE DOSE OF ASPIRI N THAT THE PATIENT WITH ADMISSION ID = 106369 HAS BEEN PRESCRIBED", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\n# Question: WHAT IS THE DOSE OF ASPIRI N THAT THE PATIENT WITH ADMISSION ID = 106369 HAS BEEN PRESCRIBED\n# SQLQuery:\n"}, {"question": "WHAT IS THE DOSAGE OF SENNA PRESCRIBED TO THE PATIENT WITH ADMISSION ID 120605", "goldSQL": "SELECT PRESCRIPTIONS.DOSE_VAL_RX, PRESCRIPTIONS.DOSE_UNIT_RX FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 120605 AND PRESCRIPTIONS.DRUG = \"SENNA\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT IS THE DOSAGE OF SENNA PRESCRIBED TO THE PATIENT WITH ADMISSION ID 120605\n# SQLQuery:\n"}, {"question": "WHAT IS THE ROUTE OF ADMINISTRATION OF THE DRUG MULTIVITAMINS FOR PATIENT WITH ADMISSION ID 109397", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\n# Question: WHAT IS THE ROUTE OF ADMINISTRATION OF THE DRUG MULTIVITAMINS FOR PATIENT WITH ADMISSION ID 109397\n# SQLQuery:\n"}, {"question": "FOR THE PATIENT HAVING AN ADMISSION ID = 111923, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR CYANOCOBALAMIN", "goldSQL": "SELECT PRESCRIPTIONS.ROUTE FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 111923 AND PRESCRIPTIONS.DRUG = \"CYANOCOBALAMIN\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: FOR THE PATIENT HAVING AN ADMISSION ID = 111923, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR CYANOCOBALAMIN\n# SQLQuery:\n"}, {"question": "WHAT IS THE FORM OF PREDNISON E PRESCRIBED TO THE PATIENT WITH ADMISSION ID 114959", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\n# Question: WHAT IS THE FORM OF PREDNISON E PRESCRIBED TO THE PATIENT WITH ADMISSION ID 114959\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG INTENSITY OF ADVAIR DISKUS GIVEN TO THE PATIENT WITH AN ADMISSION ID = 187736", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\n# Question: WHAT IS THE DRUG INTENSITY OF ADVAIR DISKUS GIVEN TO THE PATIENT WITH AN ADMISSION ID = 187736\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG INTENSITY OF HYDROCORTISONE GIVEN TO THE PATIENT WITH AN ADMISSION ID = 100509", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\n# Question: WHAT IS THE DRUG INTENSITY OF HYDROCORTISONE GIVEN TO THE PATIENT WITH AN ADMISSION ID = 100509\n# SQLQuery:\n"}, {"question": "MENTION THE FORM OF ASPIRIN TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 155980", "goldSQL": "SELECT PRESCRIPTIONS.FORM_UNIT_DISP FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 155980 AND PRESCRIPTIONS.DRUG = \"ASPIRIN\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: MENTION THE FORM OF ASPIRIN TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 155980\n# SQLQuery:\n"}, {"question": "MENTION THE ROUTE OF ADMINISTRATION FOR THE MEDICINE AMLODIPINE RECOMMENDED TO THE PATIENT WITH ADMISSION ID = 123475", "goldSQL": "SELECT PRESCRIPTIONS.ROUTE FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 123475 AND PRESCRIPTIONS.DRUG = \"AMLODIPINE\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}\n\n# Question: MENTION THE ROUTE OF ADMINISTRATION FOR THE MEDICINE AMLODIPINE RECOMMENDED TO THE PATIENT WITH ADMISSION ID = 123475\n# SQLQuery:\n"}, {"question": "MENTION THE FORM OF PLATELET TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 113705", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}\n\n# Question: MENTION THE FORM OF PLATELET TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 113705\n# SQLQuery:\n"}, {"question": "MENTION THE ROUTE OF ADMINISTRATION FOR THE MEDICINE PHENYTOIN SODIUM EXTENDED RECOMMENDED TO THE PATIENT WITH ADMISSION ID = 151688", "goldSQL": "SELECT PRESCRIPTIONS.ROUTE FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 151688 AND PRESCRIPTIONS.DRUG = \"PHENYTOIN SODIUM EXTENDED\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'PROCEDURES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (INTEGER), . The table is: ICD-9 procedure codes with short and long titles{'ROW_ID': 944, 'SUBJECT_ID': 62641, 'HADM_ID': 154460, 'SEQ_NUM': 3, 'ICD9_CODE': 3404}\n\nTable 'D_ICD_PROCEDURES' has columns: ROW_ID (INTEGER), ICD9_CODE (INTEGER), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: ICD9 procedure codes with short and long titles{'ROW_ID': 264, 'ICD9_CODE': 851, 'SHORT_TITLE': 'CANTHOTOMY', 'LONG_TITLE': 'CANTHOTOMY'}\n\n# Question: MENTION THE ROUTE OF ADMINISTRATION FOR THE MEDICINE PHENYTOIN SODIUM EXTENDED RECOMMENDED TO THE PATIENT WITH ADMISSION ID = 151688\n# SQLQuery:\n"}, {"question": "WHAT IS THE STRENGTH OF THE MEDICINE CAMPHOR-MENTHOL TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 102967", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE STRENGTH OF THE MEDICINE CAMPHOR-MENTHOL TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 102967\n# SQLQuery:\n"}, {"question": "LIST THE MEDICINES RECOMMENDED TO BE TAKEN BY THE PATIENT HAVING AN ADMISSION ID 102051", "goldSQL": "SELECT PRESCRIPTIONS.DRUG FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 102051", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: LIST THE MEDICINES RECOMMENDED TO BE TAKEN BY THE PATIENT HAVING AN ADMISSION ID 102051\n# SQLQuery:\n"}, {"question": "WHAT WAS THE DOSAGE OF ALBUTEROL THAT WAS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 110326", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}\n\n# Question: WHAT WAS THE DOSAGE OF ALBUTEROL THAT WAS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 110326\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG STRENGTH OF FLUOXETIN E PRESCRIBED TO THE PATIENT WITH ADMISSION ID 114513", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\n# Question: WHAT IS THE DRUG STRENGTH OF FLUOXETIN E PRESCRIBED TO THE PATIENT WITH ADMISSION ID 114513\n# SQLQuery:\n"}, {"question": "WHAT IS THE DOSE OF TOPIRAMATE THAT THE PATIENT WITH ADMISSION ID = 102698 HAS BEEN PRESCRIBED", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT IS THE DOSE OF TOPIRAMATE THAT THE PATIENT WITH ADMISSION ID = 102698 HAS BEEN PRESCRIBED\n# SQLQuery:\n"}, {"question": "WHAT WAS THE DOSAGE OF CHOLECALCIFEROL (VITAMIN D3) THAT WAS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 116604", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\nTable 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}\n\n# Question: WHAT WAS THE DOSAGE OF CHOLECALCIFEROL (VITAMIN D3) THAT WAS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 116604\n# SQLQuery:\n"}, {"question": "MENTION THE ROUTE OF ADMINISTRATION FOR THE MEDICINE ENBREL RECOMMENDED TO THE PATIENT WITH ADMISSION ID = 109784", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\n# Question: MENTION THE ROUTE OF ADMINISTRATION FOR THE MEDICINE ENBREL RECOMMENDED TO THE PATIENT WITH ADMISSION ID = 109784\n# SQLQuery:\n"}, {"question": "WHAT WAS THE DOSAGE OF GUAIFENESIN THAT WAS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 103722", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT WAS THE DOSAGE OF GUAIFENESIN THAT WAS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 103722\n# SQLQuery:\n"}, {"question": "WHAT IS THE DOSAGE OF LINEZOLID PRESCRIBED TO THE PATIENT WITH ADMISSION ID 127741", "goldSQL": "SELECT PRESCRIPTIONS.DOSE_VAL_RX, PRESCRIPTIONS.DOSE_UNIT_RX FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 127741 AND PRESCRIPTIONS.DRUG = \"LINEZOLID\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\n# Question: WHAT IS THE DOSAGE OF LINEZOLID PRESCRIBED TO THE PATIENT WITH ADMISSION ID 127741\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG INTENSITY OF MIRALAX GIVEN TO THE PATIENT WITH AN ADMISSION ID = 100549", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'D_LABITEMS' has columns: ROW_ID (INTEGER), ITEMID (INTEGER), LABEL (VARCHAR), FLUID (VARCHAR), CATEGORY (VARCHAR), LOINC_CODE (VARCHAR), . The table is: This table contains information about various laboratory items, including their fluid, category and loinc code.{'ROW_ID': 546, 'ITEMID': 51346, 'LABEL': 'BLASTS', 'FLUID': 'CEREBROSPINAL FLUID (CSF)', 'CATEGORY': 'HEMATOLOGY', 'LOINC_CODE': '26447-3'}\n\n# Question: WHAT IS THE DRUG INTENSITY OF MIRALAX GIVEN TO THE PATIENT WITH AN ADMISSION ID = 100549\n# SQLQuery:\n"}, {"question": "WHAT WAS THE DOSAGE OF OXAZEPA M THAT WAS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 121631", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\n# Question: WHAT WAS THE DOSAGE OF OXAZEPA M THAT WAS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 121631\n# SQLQuery:\n"}, {"question": "WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG RISPERIDONE M-TAB INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 139178", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\n# Question: WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG RISPERIDONE M-TAB INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 139178\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG INTENSITY OF ALBUTEROL SULFATE GIVEN TO THE PATIENT WITH AN ADMISSION ID = 155521", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE DRUG INTENSITY OF ALBUTEROL SULFATE GIVEN TO THE PATIENT WITH AN ADMISSION ID = 155521\n# SQLQuery:\n"}, {"question": "MENTION THE FORM OF FLUOXETINE HCL TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 121116", "goldSQL": "SELECT PRESCRIPTIONS.FORM_UNIT_DISP FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 121116 AND PRESCRIPTIONS.DRUG = \"FLUOXETINE HCL\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: MENTION THE FORM OF FLUOXETINE HCL TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 121116\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG INTENSITY OF DOCUSATE GIVEN TO THE PATIENT WITH AN ADMISSION ID = 193079", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\n# Question: WHAT IS THE DRUG INTENSITY OF DOCUSATE GIVEN TO THE PATIENT WITH AN ADMISSION ID = 193079\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG INTENSITY OF TAMSULOSIN GIVEN TO THE PATIENT WITH AN ADMISSION ID = 174339", "goldSQL": "SELECT PRESCRIPTIONS.PROD_STRENGTH FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 174339 AND PRESCRIPTIONS.DRUG = \"TAMSULOSIN\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE DRUG INTENSITY OF TAMSULOSIN GIVEN TO THE PATIENT WITH AN ADMISSION ID = 174339\n# SQLQuery:\n"}, {"question": "WHAT IS THE FORM OF OXYCODONE- ACETAMINOPHEN PRESCRIBED TO THE PATIENT WITH ADMISSION ID 117871", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\n# Question: WHAT IS THE FORM OF OXYCODONE- ACETAMINOPHEN PRESCRIBED TO THE PATIENT WITH ADMISSION ID 117871\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG STRENGTH OF FERRLECIT PRESCRIBED TO THE PATIENT WITH ADMISSION ID 150990", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE DRUG STRENGTH OF FERRLECIT PRESCRIBED TO THE PATIENT WITH ADMISSION ID 150990\n# SQLQuery:\n"}, {"question": "FOR THE PATIENT HAVING AN ADMISSION ID = 106945, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR CLONIDINE", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\n# Question: FOR THE PATIENT HAVING AN ADMISSION ID = 106945, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR CLONIDINE\n# SQLQuery:\n"}, {"question": "WHAT IS THE DOSE OF FFP THAT THE PATIENT WITH ADMISSION ID = 120605 HAS BEEN PRESCRIBED", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE DOSE OF FFP THAT THE PATIENT WITH ADMISSION ID = 120605 HAS BEEN PRESCRIBED\n# SQLQuery:\n"}, {"question": "WHAT IS THE FORM OF MEMANTINE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 152925", "goldSQL": "SELECT PRESCRIPTIONS.FORM_UNIT_DISP FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 152925 AND PRESCRIPTIONS.DRUG = \"MEMANTINE\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE FORM OF MEMANTINE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 152925\n# SQLQuery:\n"}, {"question": "WHAT IS THE DOSAGE OF ATORVASTATIN PRESCRIBED TO THE PATIENT WITH ADMISSION ID 106369", "goldSQL": "SELECT PRESCRIPTIONS.DOSE_VAL_RX, PRESCRIPTIONS.DOSE_UNIT_RX FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 106369 AND PRESCRIPTIONS.DRUG = \"ATORVASTATIN\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT IS THE DOSAGE OF ATORVASTATIN PRESCRIBED TO THE PATIENT WITH ADMISSION ID 106369\n# SQLQuery:\n"}, {"question": "WHAT IS THE STRENGTH OF THE MEDICINE METOPROLOL TARTRATE TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 115466", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT IS THE STRENGTH OF THE MEDICINE METOPROLOL TARTRATE TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 115466\n# SQLQuery:\n"}, {"question": "WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG RANITIDINE HCL INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 184696", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG RANITIDINE HCL INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 184696\n# SQLQuery:\n"}, {"question": "MENTION THE FORM OF IPRATROPIUM BROMIDE TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 101276", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\n# Question: MENTION THE FORM OF IPRATROPIUM BROMIDE TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 101276\n# SQLQuery:\n"}, {"question": "WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG FLUIDS INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 110342", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'D_LABITEMS' has columns: ROW_ID (INTEGER), ITEMID (INTEGER), LABEL (VARCHAR), FLUID (VARCHAR), CATEGORY (VARCHAR), LOINC_CODE (VARCHAR), . The table is: This table contains information about various laboratory items, including their fluid, category and loinc code.{'ROW_ID': 546, 'ITEMID': 51346, 'LABEL': 'BLASTS', 'FLUID': 'CEREBROSPINAL FLUID (CSF)', 'CATEGORY': 'HEMATOLOGY', 'LOINC_CODE': '26447-3'}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\n# Question: WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG FLUIDS INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 110342\n# SQLQuery:\n"}, {"question": "MENTION THE DRUG INTENSITY OF BISACODYL PRESCRIBED TO THE PATIENT WHOSE ADMISSION ID IS 112342", "goldSQL": "SELECT PRESCRIPTIONS.PROD_STRENGTH FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 112342 AND PRESCRIPTIONS.DRUG = \"BISACODYL\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: MENTION THE DRUG INTENSITY OF BISACODYL PRESCRIBED TO THE PATIENT WHOSE ADMISSION ID IS 112342\n# SQLQuery:\n"}, {"question": "FOR THE PATIENT HAVING AN ADMISSION ID = 121514, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR LITHIUM CARBONATE", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: FOR THE PATIENT HAVING AN ADMISSION ID = 121514, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR LITHIUM CARBONATE\n# SQLQuery:\n"}, {"question": "WHAT IS THE DOSE OF PHENYTOIN THAT THE PATIENT WITH ADMISSION ID = 102173 HAS BEEN PRESCRIBED", "goldSQL": "SELECT PRESCRIPTIONS.DOSE_VAL_RX, PRESCRIPTIONS.DOSE_UNIT_RX FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 102173 AND PRESCRIPTIONS.DRUG = \"PHENYTOIN\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\n# Question: WHAT IS THE DOSE OF PHENYTOIN THAT THE PATIENT WITH ADMISSION ID = 102173 HAS BEEN PRESCRIBED\n# SQLQuery:\n"}, {"question": "WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG VALSARTA N INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 110521", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG VALSARTA N INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 110521\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG STRENGTH OF FULVESTRANT (FASLODEX) PRESCRIBED TO THE PATIENT WITH ADMISSION ID 127263", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE DRUG STRENGTH OF FULVESTRANT (FASLODEX) PRESCRIBED TO THE PATIENT WITH ADMISSION ID 127263\n# SQLQuery:\n"}, {"question": "WHAT IS THE STRENGTH OF THE MEDICINE BISACODYL TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 166237", "goldSQL": "SELECT PRESCRIPTIONS.PROD_STRENGTH FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 166237 AND PRESCRIPTIONS.DRUG = \"BISACODYL\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\n# Question: WHAT IS THE STRENGTH OF THE MEDICINE BISACODYL TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 166237\n# SQLQuery:\n"}, {"question": "WHAT IS THE FORM OF FLOVENT PRESCRIBED TO THE PATIENT WITH ADMISSION ID 102027", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE FORM OF FLOVENT PRESCRIBED TO THE PATIENT WITH ADMISSION ID 102027\n# SQLQuery:\n"}, {"question": "WHAT IS THE FORM OF FLOVENT PRESCRIBED TO THE PATIENT WITH ADMISSION ID 114004", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE FORM OF FLOVENT PRESCRIBED TO THE PATIENT WITH ADMISSION ID 114004\n# SQLQuery:\n"}, {"question": "WHAT WAS THE DOSAGE OF MICONAZOLE NITRATE THAT WAS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 105088", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\n# Question: WHAT WAS THE DOSAGE OF MICONAZOLE NITRATE THAT WAS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 105088\n# SQLQuery:\n"}, {"question": "WHAT WAS THE DOSAGE OF FAMOTIDINE THAT WAS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 100759", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT WAS THE DOSAGE OF FAMOTIDINE THAT WAS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 100759\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG STRENGTH OF DOCUSATE SODIUM PRESCRIBED TO THE PATIENT WITH ADMISSION ID 108754", "goldSQL": "SELECT PRESCRIPTIONS.PROD_STRENGTH FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 108754 AND PRESCRIPTIONS.DRUG = \"DOCUSATE SODIUM\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT IS THE DRUG STRENGTH OF DOCUSATE SODIUM PRESCRIBED TO THE PATIENT WITH ADMISSION ID 108754\n# SQLQuery:\n"}, {"question": "WHAT IS THE DOSAGE OF ZYPREXA PRESCRIBED TO THE PATIENT WITH ADMISSION ID 102136", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT IS THE DOSAGE OF ZYPREXA PRESCRIBED TO THE PATIENT WITH ADMISSION ID 102136\n# SQLQuery:\n"}, {"question": "WHAT IS THE FORM OF PREDNISONE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 106349", "goldSQL": "SELECT PRESCRIPTIONS.FORM_UNIT_DISP FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 106349 AND PRESCRIPTIONS.DRUG = \"PREDNISONE\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\n# Question: WHAT IS THE FORM OF PREDNISONE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 106349\n# SQLQuery:\n"}, {"question": "FOR THE PATIENT HAVING AN ADMISSION ID = 190444, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR ALBUTEROL SULFATE", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: FOR THE PATIENT HAVING AN ADMISSION ID = 190444, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR ALBUTEROL SULFATE\n# SQLQuery:\n"}, {"question": "MENTION THE FORM OF LIPITOR TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 178331", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: MENTION THE FORM OF LIPITOR TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 178331\n# SQLQuery:\n"}, {"question": "WHAT IS THE ROUTE OF ADMINISTRATION OF THE DRUG BACTRIM FOR PATIENT WITH ADMISSION ID 103761", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE ROUTE OF ADMINISTRATION OF THE DRUG BACTRIM FOR PATIENT WITH ADMISSION ID 103761\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG INTENSITY OF GABAPENTI N GIVEN TO THE PATIENT WITH AN ADMISSION ID = 160519", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\n# Question: WHAT IS THE DRUG INTENSITY OF GABAPENTI N GIVEN TO THE PATIENT WITH AN ADMISSION ID = 160519\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG INTENSITY OF KEPPRA GIVEN TO THE PATIENT WITH AN ADMISSION ID = 106334", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\n# Question: WHAT IS THE DRUG INTENSITY OF KEPPRA GIVEN TO THE PATIENT WITH AN ADMISSION ID = 106334\n# SQLQuery:\n"}, {"question": "WHAT IS THE STRENGTH OF THE MEDICINE DECADRON TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 193079", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE STRENGTH OF THE MEDICINE DECADRON TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 193079\n# SQLQuery:\n"}, {"question": "WHAT IS THE ROUTE OF ADMINISTRATION OF THE DRUG LORAZEPAM FOR PATIENT WITH ADMISSION ID 101110", "goldSQL": "SELECT PRESCRIPTIONS.ROUTE FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 101110 AND PRESCRIPTIONS.DRUG = \"LORAZEPAM\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE ROUTE OF ADMINISTRATION OF THE DRUG LORAZEPAM FOR PATIENT WITH ADMISSION ID 101110\n# SQLQuery:\n"}, {"question": "FOR THE PATIENT HAVING AN ADMISSION ID = 197869, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR ASPIRIN", "goldSQL": "SELECT PRESCRIPTIONS.ROUTE FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 197869 AND PRESCRIPTIONS.DRUG = \"ASPIRIN\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\n# Question: FOR THE PATIENT HAVING AN ADMISSION ID = 197869, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR ASPIRIN\n# SQLQuery:\n"}, {"question": "WHAT IS THE ROUTE OF ADMINISTRATION OF THE DRUG CLOPIDOGREL FOR PATIENT WITH ADMISSION ID 150990", "goldSQL": "SELECT PRESCRIPTIONS.ROUTE FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 150990 AND PRESCRIPTIONS.DRUG = \"CLOPIDOGREL\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'D_CPT' has columns: ROW_ID (INTEGER), CATEGORY (INTEGER), SECTIONRANGE (VARCHAR), SECTIONHEADER (VARCHAR), SUBSECTIONRANGE (VARCHAR), SUBSECTIONHEADER (VARCHAR), CODESUFFIX (VARCHAR), MINCODEINSUBSECTION (INTEGER), MAXCODEINSUBSECTION (INTEGER), . The table is: Codes for evaluation and management services with their corresponding categories and subsection headers.{'ROW_ID': 1, 'CATEGORY': 1, 'SECTIONRANGE': '99201-99499', 'SECTIONHEADER': 'EVALUATION AND MANAGEMENT', 'SUBSECTIONRANGE': '99201-99216', 'SUBSECTIONHEADER': 'OFFICE/OTHER OUTPATIENT SERVICES', 'CODESUFFIX': None, 'MINCODEINSUBSECTION': 99201, 'MAXCODEINSUBSECTION': 99216}\n\n# Question: WHAT IS THE ROUTE OF ADMINISTRATION OF THE DRUG CLOPIDOGREL FOR PATIENT WITH ADMISSION ID 150990\n# SQLQuery:\n"}, {"question": "WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG PROTONIX INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 115771", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG PROTONIX INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 115771\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG INTENSITY OF ASPIRIN GIVEN TO THE PATIENT WITH AN ADMISSION ID = 105747", "goldSQL": "SELECT PRESCRIPTIONS.PROD_STRENGTH FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 105747 AND PRESCRIPTIONS.DRUG = \"ASPIRIN\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE DRUG INTENSITY OF ASPIRIN GIVEN TO THE PATIENT WITH AN ADMISSION ID = 105747\n# SQLQuery:\n"}, {"question": "MENTION THE ROUTE OF ADMINISTRATION FOR THE MEDICINE MECLIZINE HCL RECOMMENDED TO THE PATIENT WITH ADMISSION ID = 109697", "goldSQL": "SELECT PRESCRIPTIONS.ROUTE FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 109697 AND PRESCRIPTIONS.DRUG = \"MECLIZINE HCL\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PROCEDURES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (INTEGER), . The table is: ICD-9 procedure codes with short and long titles{'ROW_ID': 944, 'SUBJECT_ID': 62641, 'HADM_ID': 154460, 'SEQ_NUM': 3, 'ICD9_CODE': 3404}\n\n# Question: MENTION THE ROUTE OF ADMINISTRATION FOR THE MEDICINE MECLIZINE HCL RECOMMENDED TO THE PATIENT WITH ADMISSION ID = 109697\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG STRENGTH OF FUROSEMID E PRESCRIBED TO THE PATIENT WITH ADMISSION ID 111041", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT IS THE DRUG STRENGTH OF FUROSEMID E PRESCRIBED TO THE PATIENT WITH ADMISSION ID 111041\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG INTENSITY OF NICOTINE GIVEN TO THE PATIENT WITH AN ADMISSION ID = 106423", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\n# Question: WHAT IS THE DRUG INTENSITY OF NICOTINE GIVEN TO THE PATIENT WITH AN ADMISSION ID = 106423\n# SQLQuery:\n"}, {"question": "WHAT IS THE ROUTE OF ADMINISTRATION OF THE DRUG LASIX FOR PATIENT WITH ADMISSION ID 105104", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE ROUTE OF ADMINISTRATION OF THE DRUG LASIX FOR PATIENT WITH ADMISSION ID 105104\n# SQLQuery:\n"}, {"question": "MENTION THE FORM OF IPRATROPIUM BROMIDE TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 123244", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\n# Question: MENTION THE FORM OF IPRATROPIUM BROMIDE TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 123244\n# SQLQuery:\n"}, {"question": "HOW LONG HAS THE PATIENT WITH ADMISSION ID = 108073 BEEN TAKING FLAGYL", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: HOW LONG HAS THE PATIENT WITH ADMISSION ID = 108073 BEEN TAKING FLAGYL\n# SQLQuery:\n"}, {"question": "WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG COUMADIN INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 104107", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG COUMADIN INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 104107\n# SQLQuery:\n"}, {"question": "WHAT IS THE DOSAGE OF CITALOPRAM PRESCRIBED TO THE PATIENT WITH ADMISSION ID 168831", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE DOSAGE OF CITALOPRAM PRESCRIBED TO THE PATIENT WITH ADMISSION ID 168831\n# SQLQuery:\n"}, {"question": "WHAT IS THE DOSAGE OF CLONAZEPAM PRESCRIBED TO THE PATIENT WITH ADMISSION ID 110559", "goldSQL": "SELECT PRESCRIPTIONS.DOSE_VAL_RX, PRESCRIPTIONS.DOSE_UNIT_RX FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 110559 AND PRESCRIPTIONS.DRUG = \"CLONAZEPAM\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\n# Question: WHAT IS THE DOSAGE OF CLONAZEPAM PRESCRIBED TO THE PATIENT WITH ADMISSION ID 110559\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG STRENGTH OF CELLCEPT PRESCRIBED TO THE PATIENT WITH ADMISSION ID 116451", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\n# Question: WHAT IS THE DRUG STRENGTH OF CELLCEPT PRESCRIBED TO THE PATIENT WITH ADMISSION ID 116451\n# SQLQuery:\n"}, {"question": "WHAT IS THE DOSAGE OF ASPIRI N PRESCRIBED TO THE PATIENT WITH ADMISSION ID 117871", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\n# Question: WHAT IS THE DOSAGE OF ASPIRI N PRESCRIBED TO THE PATIENT WITH ADMISSION ID 117871\n# SQLQuery:\n"}, {"question": "FOR THE PATIENT HAVING AN ADMISSION ID = 123807, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR CIPROFLOXACIN", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\n# Question: FOR THE PATIENT HAVING AN ADMISSION ID = 123807, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR CIPROFLOXACIN\n# SQLQuery:\n"}, {"question": "WHAT IS THE DOSE OF ACETAMINOPHEN THAT THE PATIENT WITH ADMISSION ID = 111041 HAS BEEN PRESCRIBED", "goldSQL": "SELECT PRESCRIPTIONS.DOSE_VAL_RX, PRESCRIPTIONS.DOSE_UNIT_RX FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 111041 AND PRESCRIPTIONS.DRUG = \"ACETAMINOPHEN\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT IS THE DOSE OF ACETAMINOPHEN THAT THE PATIENT WITH ADMISSION ID = 111041 HAS BEEN PRESCRIBED\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG INTENSITY OF SPIRONOLACTONE GIVEN TO THE PATIENT WITH AN ADMISSION ID = 123589", "goldSQL": "SELECT PRESCRIPTIONS.PROD_STRENGTH FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 123589 AND PRESCRIPTIONS.DRUG = \"SPIRONOLACTONE\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT IS THE DRUG INTENSITY OF SPIRONOLACTONE GIVEN TO THE PATIENT WITH AN ADMISSION ID = 123589\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG INTENSITY OF COLACE GIVEN TO THE PATIENT WITH AN ADMISSION ID = 120301", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT IS THE DRUG INTENSITY OF COLACE GIVEN TO THE PATIENT WITH AN ADMISSION ID = 120301\n# SQLQuery:\n"}, {"question": "MENTION THE ROUTE OF ADMINISTRATION FOR THE MEDICINE ASPIRIN RECOMMENDED TO THE PATIENT WITH ADMISSION ID = 102173", "goldSQL": "SELECT PRESCRIPTIONS.ROUTE FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 102173 AND PRESCRIPTIONS.DRUG = \"ASPIRIN\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\n# Question: MENTION THE ROUTE OF ADMINISTRATION FOR THE MEDICINE ASPIRIN RECOMMENDED TO THE PATIENT WITH ADMISSION ID = 102173\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG INTENSITY OF DECADRON GIVEN TO THE PATIENT WITH AN ADMISSION ID = 105537", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\n# Question: WHAT IS THE DRUG INTENSITY OF DECADRON GIVEN TO THE PATIENT WITH AN ADMISSION ID = 105537\n# SQLQuery:\n"}, {"question": "WHAT IS THE STRENGTH OF THE MEDICINE LISINOPRIL TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 178331", "goldSQL": "SELECT PRESCRIPTIONS.PROD_STRENGTH FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 178331 AND PRESCRIPTIONS.DRUG = \"LISINOPRIL\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT IS THE STRENGTH OF THE MEDICINE LISINOPRIL TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 178331\n# SQLQuery:\n"}, {"question": "PLEASE SPECIFY IF THE MEDICINE HUMULIN N PRESCRIBED TO THE PATIENT WITH ADMISSION ID 102629 IS IN THE FORM OF TABLET, CAPSULE, SYRUP OR IN ANY OTHER FORM", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: PLEASE SPECIFY IF THE MEDICINE HUMULIN N PRESCRIBED TO THE PATIENT WITH ADMISSION ID 102629 IS IN THE FORM OF TABLET, CAPSULE, SYRUP OR IN ANY OTHER FORM\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG INTENSITY OF POLYVINYL ALCOHOL -POVIDONE GIVEN TO THE PATIENT WITH AN ADMISSION ID = 196798", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE DRUG INTENSITY OF POLYVINYL ALCOHOL -POVIDONE GIVEN TO THE PATIENT WITH AN ADMISSION ID = 196798\n# SQLQuery:\n"}, {"question": "MENTION THE FORM OF OXAZEPA M TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 121631", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: MENTION THE FORM OF OXAZEPA M TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 121631\n# SQLQuery:\n"}, {"question": "WHAT WAS THE DOSAGE OF WARFARIN THAT WAS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 101813", "goldSQL": "SELECT PRESCRIPTIONS.DOSE_VAL_RX, PRESCRIPTIONS.DOSE_UNIT_RX FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 101813 AND PRESCRIPTIONS.DRUG = \"WARFARIN\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT WAS THE DOSAGE OF WARFARIN THAT WAS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 101813\n# SQLQuery:\n"}, {"question": "MENTION THE FORM OF PREDNISONE TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 100590", "goldSQL": "SELECT PRESCRIPTIONS.FORM_UNIT_DISP FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 100590 AND PRESCRIPTIONS.DRUG = \"PREDNISONE\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: MENTION THE FORM OF PREDNISONE TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 100590\n# SQLQuery:\n"}, {"question": "FOR THE PATIENT HAVING AN ADMISSION ID = 111840, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR ASPIRIN [ASPIRIN ]", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\n# Question: FOR THE PATIENT HAVING AN ADMISSION ID = 111840, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR ASPIRIN [ASPIRIN ]\n# SQLQuery:\n"}, {"question": "MENTION THE DRUG INTENSITY OF EPOETIN ALFA PRESCRIBED TO THE PATIENT WHOSE ADMISSION ID IS 110863", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\n# Question: MENTION THE DRUG INTENSITY OF EPOETIN ALFA PRESCRIBED TO THE PATIENT WHOSE ADMISSION ID IS 110863\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG STRENGTH OF IMDUR PRESCRIBED TO THE PATIENT WITH ADMISSION ID 107251", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\n# Question: WHAT IS THE DRUG STRENGTH OF IMDUR PRESCRIBED TO THE PATIENT WITH ADMISSION ID 107251\n# SQLQuery:\n"}, {"question": "WHAT IS THE FORM OF PHENYLEPHRINE HCL PRESCRIBED TO THE PATIENT WITH ADMISSION ID 106588", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\n# Question: WHAT IS THE FORM OF PHENYLEPHRINE HCL PRESCRIBED TO THE PATIENT WITH ADMISSION ID 106588\n# SQLQuery:\n"}, {"question": "WHAT IS THE DOSAGE OF INSULIN PRESCRIBED TO THE PATIENT WITH ADMISSION ID 111274", "goldSQL": "SELECT PRESCRIPTIONS.DOSE_VAL_RX, PRESCRIPTIONS.DOSE_UNIT_RX FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 111274 AND PRESCRIPTIONS.DRUG = \"INSULIN\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE DOSAGE OF INSULIN PRESCRIBED TO THE PATIENT WITH ADMISSION ID 111274\n# SQLQuery:\n"}, {"question": "MENTION THE ROUTE OF ADMINISTRATION FOR THE MEDICINE MEROPENEM RECOMMENDED TO THE PATIENT WITH ADMISSION ID = 113265", "goldSQL": "SELECT PRESCRIPTIONS.ROUTE FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 113265 AND PRESCRIPTIONS.DRUG = \"MEROPENEM\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: MENTION THE ROUTE OF ADMINISTRATION FOR THE MEDICINE MEROPENEM RECOMMENDED TO THE PATIENT WITH ADMISSION ID = 113265\n# SQLQuery:\n"}, {"question": "FOR THE PATIENT HAVING AN ADMISSION ID = 111840, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR ASPIRIN", "goldSQL": "SELECT PRESCRIPTIONS.ROUTE FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 111840 AND PRESCRIPTIONS.DRUG = \"ASPIRIN\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\n# Question: FOR THE PATIENT HAVING AN ADMISSION ID = 111840, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR ASPIRIN\n# SQLQuery:\n"}, {"question": "MENTION THE DRUG INTENSITY OF ACETAMINOPHEN PRESCRIBED TO THE PATIENT WHOSE ADMISSION ID IS 108932", "goldSQL": "SELECT PRESCRIPTIONS.PROD_STRENGTH FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 108932 AND PRESCRIPTIONS.DRUG = \"ACETAMINOPHEN\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\n# Question: MENTION THE DRUG INTENSITY OF ACETAMINOPHEN PRESCRIBED TO THE PATIENT WHOSE ADMISSION ID IS 108932\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG INTENSITY OF CLOPIDOGREL GIVEN TO THE PATIENT WITH AN ADMISSION ID = 108889", "goldSQL": "SELECT PRESCRIPTIONS.PROD_STRENGTH FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 108889 AND PRESCRIPTIONS.DRUG = \"CLOPIDOGREL\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\n# Question: WHAT IS THE DRUG INTENSITY OF CLOPIDOGREL GIVEN TO THE PATIENT WITH AN ADMISSION ID = 108889\n# SQLQuery:\n"}, {"question": "WHAT WAS THE DOSAGE OF ATORVASTATIN THAT WAS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 127018", "goldSQL": "SELECT PRESCRIPTIONS.DOSE_VAL_RX, PRESCRIPTIONS.DOSE_UNIT_RX FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 127018 AND PRESCRIPTIONS.DRUG = \"ATORVASTATIN\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT WAS THE DOSAGE OF ATORVASTATIN THAT WAS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 127018\n# SQLQuery:\n"}, {"question": "WHAT IS THE STRENGTH OF THE MEDICINE FUROSEMIDE TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 149614", "goldSQL": "SELECT PRESCRIPTIONS.PROD_STRENGTH FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 149614 AND PRESCRIPTIONS.DRUG = \"FUROSEMIDE\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE STRENGTH OF THE MEDICINE FUROSEMIDE TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 149614\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG INTENSITY OF TRAZODONE GIVEN TO THE PATIENT WITH AN ADMISSION ID = 113607", "goldSQL": "SELECT PRESCRIPTIONS.PROD_STRENGTH FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 113607 AND PRESCRIPTIONS.DRUG = \"TRAZODONE\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE DRUG INTENSITY OF TRAZODONE GIVEN TO THE PATIENT WITH AN ADMISSION ID = 113607\n# SQLQuery:\n"}, {"question": "HOW LONG HAS THE PATIENT WITH ADMISSION ID = 100035 BEEN TAKING ALBUTEROL", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\n# Question: HOW LONG HAS THE PATIENT WITH ADMISSION ID = 100035 BEEN TAKING ALBUTEROL\n# SQLQuery:\n"}, {"question": "MENTION THE FORM OF DILTIAZEM SR TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 106621", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: MENTION THE FORM OF DILTIAZEM SR TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 106621\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG STRENGTH OF MORPHINE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 105050", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\n# Question: WHAT IS THE DRUG STRENGTH OF MORPHINE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 105050\n# SQLQuery:\n"}, {"question": "WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG ATOVAQUONE INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 117745", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG ATOVAQUONE INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 117745\n# SQLQuery:\n"}, {"question": "WHAT IS THE FORM OF ONDANSETRON HCL (PF) PRESCRIBED TO THE PATIENT WITH ADMISSION ID 115771", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE FORM OF ONDANSETRON HCL (PF) PRESCRIBED TO THE PATIENT WITH ADMISSION ID 115771\n# SQLQuery:\n"}, {"question": "WHAT IS THE FORM OF LATANOPROST PRESCRIBED TO THE PATIENT WITH ADMISSION ID 103903", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE FORM OF LATANOPROST PRESCRIBED TO THE PATIENT WITH ADMISSION ID 103903\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG STRENGTH OF ASPIRI N PRESCRIBED TO THE PATIENT WITH ADMISSION ID 107421", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\n# Question: WHAT IS THE DRUG STRENGTH OF ASPIRI N PRESCRIBED TO THE PATIENT WITH ADMISSION ID 107421\n# SQLQuery:\n"}, {"question": "MENTION THE ROUTE OF ADMINISTRATION FOR THE MEDICINE VITAMIN D3 RECOMMENDED TO THE PATIENT WITH ADMISSION ID = 177721", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\n# Question: MENTION THE ROUTE OF ADMINISTRATION FOR THE MEDICINE VITAMIN D3 RECOMMENDED TO THE PATIENT WITH ADMISSION ID = 177721\n# SQLQuery:\n"}, {"question": "WHAT WAS THE DOSAGE OF ALBUTEROL SULFATE THAT WAS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 100035", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT WAS THE DOSAGE OF ALBUTEROL SULFATE THAT WAS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 100035\n# SQLQuery:\n"}, {"question": "WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG ATORVASTATIN INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 105106", "goldSQL": "SELECT PRESCRIPTIONS.ROUTE FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 105106 AND PRESCRIPTIONS.DRUG = \"ATORVASTATIN\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG ATORVASTATIN INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 105106\n# SQLQuery:\n"}, {"question": "WHAT IS THE STRENGTH OF THE MEDICINE ISOSORBIDE DINITRATE TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 160707", "goldSQL": "SELECT PRESCRIPTIONS.PROD_STRENGTH FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 160707 AND PRESCRIPTIONS.DRUG = \"ISOSORBIDE DINITRATE\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE STRENGTH OF THE MEDICINE ISOSORBIDE DINITRATE TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 160707\n# SQLQuery:\n"}, {"question": "WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG INSULIN REGULAR HUMAN INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 104948", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG INSULIN REGULAR HUMAN INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 104948\n# SQLQuery:\n"}, {"question": "MENTION THE FORM OF LORAZEPAM TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 100035", "goldSQL": "SELECT PRESCRIPTIONS.FORM_UNIT_DISP FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 100035 AND PRESCRIPTIONS.DRUG = \"LORAZEPAM\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: MENTION THE FORM OF LORAZEPAM TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 100035\n# SQLQuery:\n"}, {"question": "WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG AMIODARONE HCL INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 109697", "goldSQL": "SELECT PRESCRIPTIONS.ROUTE FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 109697 AND PRESCRIPTIONS.DRUG = \"AMIODARONE HCL\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\n# Question: WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG AMIODARONE HCL INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 109697\n# SQLQuery:\n"}, {"question": "MENTION THE TOTAL DURATION DURING WHICH THE PATIENT WITH ADMISSION ID = 117191 HAS BEEN TAKING LINEZOLID", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\n# Question: MENTION THE TOTAL DURATION DURING WHICH THE PATIENT WITH ADMISSION ID = 117191 HAS BEEN TAKING LINEZOLID\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG STRENGTH OF PANTOPRAZOLE SODIUM PRESCRIBED TO THE PATIENT WITH ADMISSION ID 110186", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\n# Question: WHAT IS THE DRUG STRENGTH OF PANTOPRAZOLE SODIUM PRESCRIBED TO THE PATIENT WITH ADMISSION ID 110186\n# SQLQuery:\n"}, {"question": "WHAT IS THE DOSE OF ACETAMINOPHEN THAT THE PATIENT WITH ADMISSION ID = 108343 HAS BEEN PRESCRIBED", "goldSQL": "SELECT PRESCRIPTIONS.DOSE_VAL_RX, PRESCRIPTIONS.DOSE_UNIT_RX FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 108343 AND PRESCRIPTIONS.DRUG = \"ACETAMINOPHEN\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\n# Question: WHAT IS THE DOSE OF ACETAMINOPHEN THAT THE PATIENT WITH ADMISSION ID = 108343 HAS BEEN PRESCRIBED\n# SQLQuery:\n"}, {"question": "WHAT IS THE DOSAGE OF FLOVENT PRESCRIBED TO THE PATIENT WITH ADMISSION ID 114976", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\n# Question: WHAT IS THE DOSAGE OF FLOVENT PRESCRIBED TO THE PATIENT WITH ADMISSION ID 114976\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG STRENGTH OF FUROSEMIDE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 110863", "goldSQL": "SELECT PRESCRIPTIONS.PROD_STRENGTH FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 110863 AND PRESCRIPTIONS.DRUG = \"FUROSEMIDE\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT IS THE DRUG STRENGTH OF FUROSEMIDE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 110863\n# SQLQuery:\n"}, {"question": "WHAT WAS THE DOSAGE OF TRAZODONE THAT WAS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 112615", "goldSQL": "SELECT PRESCRIPTIONS.DOSE_VAL_RX, PRESCRIPTIONS.DOSE_UNIT_RX FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 112615 AND PRESCRIPTIONS.DRUG = \"TRAZODONE\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT WAS THE DOSAGE OF TRAZODONE THAT WAS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 112615\n# SQLQuery:\n"}, {"question": "WHAT IS THE ROUTE OF ADMINISTRATION OF THE DRUG FLAGYL FOR PATIENT WITH ADMISSION ID 123204", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\n# Question: WHAT IS THE ROUTE OF ADMINISTRATION OF THE DRUG FLAGYL FOR PATIENT WITH ADMISSION ID 123204\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG INTENSITY OF ADVAIR DISKUS GIVEN TO THE PATIENT WITH AN ADMISSION ID = 106588", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\n# Question: WHAT IS THE DRUG INTENSITY OF ADVAIR DISKUS GIVEN TO THE PATIENT WITH AN ADMISSION ID = 106588\n# SQLQuery:\n"}, {"question": "WHAT WAS THE DOSAGE OF METHYLPREDNISOLONE THAT WAS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 106588", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT WAS THE DOSAGE OF METHYLPREDNISOLONE THAT WAS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 106588\n# SQLQuery:\n"}, {"question": "WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG PLTS INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 117745", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG PLTS INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 117745\n# SQLQuery:\n"}, {"question": "WHAT IS THE FORM OF SIMVASTATIN PRESCRIBED TO THE PATIENT WITH ADMISSION ID 106384", "goldSQL": "SELECT PRESCRIPTIONS.FORM_UNIT_DISP FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 106384 AND PRESCRIPTIONS.DRUG = \"SIMVASTATIN\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\n# Question: WHAT IS THE FORM OF SIMVASTATIN PRESCRIBED TO THE PATIENT WITH ADMISSION ID 106384\n# SQLQuery:\n"}, {"question": "WHAT IS THE DOSE OF BISACODYL THAT THE PATIENT WITH ADMISSION ID = 103142 HAS BEEN PRESCRIBED", "goldSQL": "SELECT PRESCRIPTIONS.DOSE_VAL_RX, PRESCRIPTIONS.DOSE_UNIT_RX FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 103142 AND PRESCRIPTIONS.DRUG = \"BISACODYL\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\n# Question: WHAT IS THE DOSE OF BISACODYL THAT THE PATIENT WITH ADMISSION ID = 103142 HAS BEEN PRESCRIBED\n# SQLQuery:\n"}, {"question": "WHAT IS THE FORM OF CLOBETASOL PRESCRIBED TO THE PATIENT WITH ADMISSION ID 123589", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\n# Question: WHAT IS THE FORM OF CLOBETASOL PRESCRIBED TO THE PATIENT WITH ADMISSION ID 123589\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG STRENGTH OF FERROUS SULFATE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 112368", "goldSQL": "SELECT PRESCRIPTIONS.PROD_STRENGTH FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 112368 AND PRESCRIPTIONS.DRUG = \"FERROUS SULFATE\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT IS THE DRUG STRENGTH OF FERROUS SULFATE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 112368\n# SQLQuery:\n"}, {"question": "WHAT IS THE STRENGTH OF THE MEDICINE CITALOPRA M TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 157609", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE STRENGTH OF THE MEDICINE CITALOPRA M TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 157609\n# SQLQuery:\n"}, {"question": "WHAT IS THE ROUTE OF ADMINISTRATION OF THE DRUG MULTIVITAMIN,TX-MINERALS FOR PATIENT WITH ADMISSION ID 110384", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\n# Question: WHAT IS THE ROUTE OF ADMINISTRATION OF THE DRUG MULTIVITAMIN,TX-MINERALS FOR PATIENT WITH ADMISSION ID 110384\n# SQLQuery:\n"}, {"question": "WHAT IS THE STRENGTH OF THE MEDICINE LIDOCAINE TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 110384", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'D_LABITEMS' has columns: ROW_ID (INTEGER), ITEMID (INTEGER), LABEL (VARCHAR), FLUID (VARCHAR), CATEGORY (VARCHAR), LOINC_CODE (VARCHAR), . The table is: This table contains information about various laboratory items, including their fluid, category and loinc code.{'ROW_ID': 546, 'ITEMID': 51346, 'LABEL': 'BLASTS', 'FLUID': 'CEREBROSPINAL FLUID (CSF)', 'CATEGORY': 'HEMATOLOGY', 'LOINC_CODE': '26447-3'}\n\n# Question: WHAT IS THE STRENGTH OF THE MEDICINE LIDOCAINE TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 110384\n# SQLQuery:\n"}, {"question": "WHAT IS THE DOSAGE OF RANITIDINE HCL PRESCRIBED TO THE PATIENT WITH ADMISSION ID 109170", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\n# Question: WHAT IS THE DOSAGE OF RANITIDINE HCL PRESCRIBED TO THE PATIENT WITH ADMISSION ID 109170\n# SQLQuery:\n"}, {"question": "WHAT IS THE DOSE OF METHOTREXATE SODIUM THAT THE PATIENT WITH ADMISSION ID = 109784 HAS BEEN PRESCRIBED", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE DOSE OF METHOTREXATE SODIUM THAT THE PATIENT WITH ADMISSION ID = 109784 HAS BEEN PRESCRIBED\n# SQLQuery:\n"}, {"question": "WHAT IS THE DOSE OF ATORVASTATIN THAT THE PATIENT WITH ADMISSION ID = 105360 HAS BEEN PRESCRIBED", "goldSQL": "SELECT PRESCRIPTIONS.DOSE_VAL_RX, PRESCRIPTIONS.DOSE_UNIT_RX FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 105360 AND PRESCRIPTIONS.DRUG = \"ATORVASTATIN\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\n# Question: WHAT IS THE DOSE OF ATORVASTATIN THAT THE PATIENT WITH ADMISSION ID = 105360 HAS BEEN PRESCRIBED\n# SQLQuery:\n"}, {"question": "WHAT WAS THE DOSAGE OF FLUDROCORTISON E THAT WAS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 106993", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\n# Question: WHAT WAS THE DOSAGE OF FLUDROCORTISON E THAT WAS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 106993\n# SQLQuery:\n"}, {"question": "FOR THE PATIENT HAVING AN ADMISSION ID = 102068, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR ENOXAPARIN", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\n# Question: FOR THE PATIENT HAVING AN ADMISSION ID = 102068, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR ENOXAPARIN\n# SQLQuery:\n"}, {"question": "MENTION THE FORM OF NS TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 115737", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\n# Question: MENTION THE FORM OF NS TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 115737\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG STRENGTH OF METOPROLOL SUCCINATE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 184696", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\n# Question: WHAT IS THE DRUG STRENGTH OF METOPROLOL SUCCINATE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 184696\n# SQLQuery:\n"}, {"question": "WHAT IS THE FORM OF METRONIDAZOLE IN NACL (ISO-OS) PRESCRIBED TO THE PATIENT WITH ADMISSION ID 115466", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\n# Question: WHAT IS THE FORM OF METRONIDAZOLE IN NACL (ISO-OS) PRESCRIBED TO THE PATIENT WITH ADMISSION ID 115466\n# SQLQuery:\n"}, {"question": "FOR THE PATIENT HAVING AN ADMISSION ID = 111041, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR FUROSEMID E", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\nTable 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}\n\n# Question: FOR THE PATIENT HAVING AN ADMISSION ID = 111041, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR FUROSEMID E\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG STRENGTH OF GABAPENTIN PRESCRIBED TO THE PATIENT WITH ADMISSION ID 101779", "goldSQL": "None", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT IS THE DRUG STRENGTH OF GABAPENTIN PRESCRIBED TO THE PATIENT WITH ADMISSION ID 101779\n# SQLQuery:\n"}, {"question": "WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG MAGNESIUM OXIDE INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 103315", "goldSQL": "SELECT PRESCRIPTIONS.ROUTE FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 103315 AND PRESCRIPTIONS.DRUG = \"MAGNESIUM OXIDE\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}\n\n# Question: WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG MAGNESIUM OXIDE INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 103315\n# SQLQuery:\n"}, {"question": "WHAT IS THE DRUG STRENGTH OF HYDROXYZINE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 112342", "goldSQL": "SELECT PRESCRIPTIONS.PROD_STRENGTH FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 112342 AND PRESCRIPTIONS.DRUG = \"HYDROXYZINE\"", "predSQL": "Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a few relevant columns given the question.\nPay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. \n\nFollow these additional instructions:\n1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query.\n2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome.\n3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required.\n4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.\n5. Please only return the exact SQL query.\n\n# Only use tables listed below.\n# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}\n\nTable 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}\n\nTable 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}\n\nTable 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}\n\nTable 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}\n\n# Question: WHAT IS THE DRUG STRENGTH OF HYDROXYZINE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 112342\n# SQLQuery:\n"}]