Upload dataset (part 00001-of-00002)
Browse files- README.md +357 -0
- data/marketing-00000-of-00001.parquet +3 -0
- data/marxist_theory-00000-of-00001.parquet +3 -0
- data/modern_chinese-00000-of-00001.parquet +3 -0
- data/nutrition-00000-of-00001.parquet +3 -0
- data/philosophy-00000-of-00001.parquet +3 -0
- data/professional_accounting-00000-of-00001.parquet +3 -0
- data/professional_law-00000-of-00001.parquet +3 -0
- data/professional_medicine-00000-of-00001.parquet +3 -0
- data/professional_psychology-00000-of-00001.parquet +3 -0
- data/public_relations-00000-of-00001.parquet +3 -0
- data/security_study-00000-of-00001.parquet +3 -0
- data/sociology-00000-of-00001.parquet +3 -0
- data/sports_science-00000-of-00001.parquet +3 -0
- data/traditional_chinese_medicine-00000-of-00001.parquet +3 -0
- data/virology-00000-of-00001.parquet +3 -0
- data/world_history-00000-of-00001.parquet +3 -0
- data/world_religions-00000-of-00001.parquet +3 -0
README.md
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1 |
+
---
|
2 |
+
dataset_info:
|
3 |
+
features:
|
4 |
+
- name: Question
|
5 |
+
dtype: string
|
6 |
+
- name: A
|
7 |
+
dtype: string
|
8 |
+
- name: B
|
9 |
+
dtype: string
|
10 |
+
- name: C
|
11 |
+
dtype: string
|
12 |
+
- name: D
|
13 |
+
dtype: string
|
14 |
+
- name: Answer
|
15 |
+
dtype: string
|
16 |
+
splits:
|
17 |
+
- name: agronomy
|
18 |
+
num_bytes: 19135
|
19 |
+
num_examples: 135
|
20 |
+
- name: anatomy
|
21 |
+
num_bytes: 14913
|
22 |
+
num_examples: 130
|
23 |
+
- name: ancient_chinese
|
24 |
+
num_bytes: 7670
|
25 |
+
num_examples: 54
|
26 |
+
- name: arts
|
27 |
+
num_bytes: 19587
|
28 |
+
num_examples: 153
|
29 |
+
- name: astronomy
|
30 |
+
num_bytes: 17300
|
31 |
+
num_examples: 97
|
32 |
+
- name: business_ethics
|
33 |
+
num_bytes: 27434
|
34 |
+
num_examples: 173
|
35 |
+
- name: chinese_civil_service_exam
|
36 |
+
num_bytes: 26530
|
37 |
+
num_examples: 57
|
38 |
+
- name: chinese_driving_rule
|
39 |
+
num_bytes: 18683
|
40 |
+
num_examples: 101
|
41 |
+
- name: chinese_food_culture
|
42 |
+
num_bytes: 15438
|
43 |
+
num_examples: 108
|
44 |
+
- name: chinese_foreign_policy
|
45 |
+
num_bytes: 28363
|
46 |
+
num_examples: 79
|
47 |
+
- name: chinese_history
|
48 |
+
num_bytes: 99897
|
49 |
+
num_examples: 262
|
50 |
+
- name: chinese_literature
|
51 |
+
num_bytes: 25823
|
52 |
+
num_examples: 155
|
53 |
+
- name: chinese_teacher_qualification
|
54 |
+
num_bytes: 34144
|
55 |
+
num_examples: 133
|
56 |
+
- name: clinical_knowledge
|
57 |
+
num_bytes: 45902
|
58 |
+
num_examples: 148
|
59 |
+
- name: college_actuarial_science
|
60 |
+
num_bytes: 7143
|
61 |
+
num_examples: 29
|
62 |
+
- name: college_education
|
63 |
+
num_bytes: 17639
|
64 |
+
num_examples: 82
|
65 |
+
- name: college_engineering_hydrology
|
66 |
+
num_bytes: 20401
|
67 |
+
num_examples: 105
|
68 |
+
- name: college_law
|
69 |
+
num_bytes: 20024
|
70 |
+
num_examples: 69
|
71 |
+
- name: college_mathematics
|
72 |
+
num_bytes: 4402
|
73 |
+
num_examples: 19
|
74 |
+
- name: college_medical_statistics
|
75 |
+
num_bytes: 13308
|
76 |
+
num_examples: 69
|
77 |
+
- name: college_medicine
|
78 |
+
num_bytes: 27455
|
79 |
+
num_examples: 167
|
80 |
+
- name: computer_science
|
81 |
+
num_bytes: 20545
|
82 |
+
num_examples: 129
|
83 |
+
- name: computer_security
|
84 |
+
num_bytes: 23205
|
85 |
+
num_examples: 103
|
86 |
+
- name: conceptual_physics
|
87 |
+
num_bytes: 8672
|
88 |
+
num_examples: 31
|
89 |
+
- name: construction_project_management
|
90 |
+
num_bytes: 17204
|
91 |
+
num_examples: 92
|
92 |
+
- name: economics
|
93 |
+
num_bytes: 23099
|
94 |
+
num_examples: 120
|
95 |
+
- name: education
|
96 |
+
num_bytes: 17587
|
97 |
+
num_examples: 121
|
98 |
+
- name: electrical_engineering
|
99 |
+
num_bytes: 23480
|
100 |
+
num_examples: 141
|
101 |
+
- name: elementary_chinese
|
102 |
+
num_bytes: 27634
|
103 |
+
num_examples: 179
|
104 |
+
- name: elementary_commonsense
|
105 |
+
num_bytes: 21591
|
106 |
+
num_examples: 164
|
107 |
+
- name: elementary_information_and_technology
|
108 |
+
num_bytes: 17476
|
109 |
+
num_examples: 120
|
110 |
+
- name: elementary_mathematics
|
111 |
+
num_bytes: 24377
|
112 |
+
num_examples: 165
|
113 |
+
- name: ethnology
|
114 |
+
num_bytes: 20311
|
115 |
+
num_examples: 121
|
116 |
+
- name: food_science
|
117 |
+
num_bytes: 14871
|
118 |
+
num_examples: 112
|
119 |
+
- name: genetics
|
120 |
+
num_bytes: 23784
|
121 |
+
num_examples: 130
|
122 |
+
- name: global_facts
|
123 |
+
num_bytes: 20646
|
124 |
+
num_examples: 126
|
125 |
+
- name: high_school_biology
|
126 |
+
num_bytes: 5456
|
127 |
+
num_examples: 13
|
128 |
+
- name: high_school_chemistry
|
129 |
+
num_bytes: 2047
|
130 |
+
num_examples: 10
|
131 |
+
- name: high_school_geography
|
132 |
+
num_bytes: 20685
|
133 |
+
num_examples: 83
|
134 |
+
- name: high_school_mathematics
|
135 |
+
num_bytes: 11585
|
136 |
+
num_examples: 76
|
137 |
+
- name: high_school_physics
|
138 |
+
num_bytes: 16289
|
139 |
+
num_examples: 59
|
140 |
+
- name: high_school_politics
|
141 |
+
num_bytes: 31751
|
142 |
+
num_examples: 77
|
143 |
+
- name: human_sexuality
|
144 |
+
num_bytes: 16684
|
145 |
+
num_examples: 105
|
146 |
+
- name: international_law
|
147 |
+
num_bytes: 35419
|
148 |
+
num_examples: 155
|
149 |
+
- name: journalism
|
150 |
+
num_bytes: 23498
|
151 |
+
num_examples: 147
|
152 |
+
- name: jurisprudence
|
153 |
+
num_bytes: 43864
|
154 |
+
num_examples: 195
|
155 |
+
- name: legal_and_moral_basis
|
156 |
+
num_bytes: 43864
|
157 |
+
num_examples: 172
|
158 |
+
- name: logical
|
159 |
+
num_bytes: 13506
|
160 |
+
num_examples: 91
|
161 |
+
- name: machine_learning
|
162 |
+
num_bytes: 7683
|
163 |
+
num_examples: 40
|
164 |
+
- name: management
|
165 |
+
num_bytes: 35343
|
166 |
+
num_examples: 191
|
167 |
+
- name: marketing
|
168 |
+
num_bytes: 34253
|
169 |
+
num_examples: 166
|
170 |
+
- name: marxist_theory
|
171 |
+
num_bytes: 37568
|
172 |
+
num_examples: 175
|
173 |
+
- name: modern_chinese
|
174 |
+
num_bytes: 11322
|
175 |
+
num_examples: 56
|
176 |
+
- name: nutrition
|
177 |
+
num_bytes: 14610
|
178 |
+
num_examples: 95
|
179 |
+
- name: philosophy
|
180 |
+
num_bytes: 17162
|
181 |
+
num_examples: 92
|
182 |
+
- name: professional_accounting
|
183 |
+
num_bytes: 21392
|
184 |
+
num_examples: 117
|
185 |
+
- name: professional_law
|
186 |
+
num_bytes: 29193
|
187 |
+
num_examples: 101
|
188 |
+
- name: professional_medicine
|
189 |
+
num_bytes: 42509
|
190 |
+
num_examples: 273
|
191 |
+
- name: professional_psychology
|
192 |
+
num_bytes: 33368
|
193 |
+
num_examples: 206
|
194 |
+
- name: public_relations
|
195 |
+
num_bytes: 29810
|
196 |
+
num_examples: 169
|
197 |
+
- name: security_study
|
198 |
+
num_bytes: 17758
|
199 |
+
num_examples: 102
|
200 |
+
- name: sociology
|
201 |
+
num_bytes: 34971
|
202 |
+
num_examples: 213
|
203 |
+
- name: sports_science
|
204 |
+
num_bytes: 18009
|
205 |
+
num_examples: 126
|
206 |
+
- name: traditional_chinese_medicine
|
207 |
+
num_bytes: 23466
|
208 |
+
num_examples: 163
|
209 |
+
- name: virology
|
210 |
+
num_bytes: 21781
|
211 |
+
num_examples: 132
|
212 |
+
- name: world_history
|
213 |
+
num_bytes: 53951
|
214 |
+
num_examples: 130
|
215 |
+
- name: world_religions
|
216 |
+
num_bytes: 18882
|
217 |
+
num_examples: 143
|
218 |
+
download_size: 1402619
|
219 |
+
dataset_size: 1583352
|
220 |
+
configs:
|
221 |
+
- config_name: default
|
222 |
+
data_files:
|
223 |
+
- split: agronomy
|
224 |
+
path: data/agronomy-*
|
225 |
+
- split: anatomy
|
226 |
+
path: data/anatomy-*
|
227 |
+
- split: ancient_chinese
|
228 |
+
path: data/ancient_chinese-*
|
229 |
+
- split: arts
|
230 |
+
path: data/arts-*
|
231 |
+
- split: astronomy
|
232 |
+
path: data/astronomy-*
|
233 |
+
- split: business_ethics
|
234 |
+
path: data/business_ethics-*
|
235 |
+
- split: chinese_civil_service_exam
|
236 |
+
path: data/chinese_civil_service_exam-*
|
237 |
+
- split: chinese_driving_rule
|
238 |
+
path: data/chinese_driving_rule-*
|
239 |
+
- split: chinese_food_culture
|
240 |
+
path: data/chinese_food_culture-*
|
241 |
+
- split: chinese_foreign_policy
|
242 |
+
path: data/chinese_foreign_policy-*
|
243 |
+
- split: chinese_history
|
244 |
+
path: data/chinese_history-*
|
245 |
+
- split: chinese_literature
|
246 |
+
path: data/chinese_literature-*
|
247 |
+
- split: chinese_teacher_qualification
|
248 |
+
path: data/chinese_teacher_qualification-*
|
249 |
+
- split: clinical_knowledge
|
250 |
+
path: data/clinical_knowledge-*
|
251 |
+
- split: college_actuarial_science
|
252 |
+
path: data/college_actuarial_science-*
|
253 |
+
- split: college_education
|
254 |
+
path: data/college_education-*
|
255 |
+
- split: college_engineering_hydrology
|
256 |
+
path: data/college_engineering_hydrology-*
|
257 |
+
- split: college_law
|
258 |
+
path: data/college_law-*
|
259 |
+
- split: college_mathematics
|
260 |
+
path: data/college_mathematics-*
|
261 |
+
- split: college_medical_statistics
|
262 |
+
path: data/college_medical_statistics-*
|
263 |
+
- split: college_medicine
|
264 |
+
path: data/college_medicine-*
|
265 |
+
- split: computer_science
|
266 |
+
path: data/computer_science-*
|
267 |
+
- split: computer_security
|
268 |
+
path: data/computer_security-*
|
269 |
+
- split: conceptual_physics
|
270 |
+
path: data/conceptual_physics-*
|
271 |
+
- split: construction_project_management
|
272 |
+
path: data/construction_project_management-*
|
273 |
+
- split: economics
|
274 |
+
path: data/economics-*
|
275 |
+
- split: education
|
276 |
+
path: data/education-*
|
277 |
+
- split: electrical_engineering
|
278 |
+
path: data/electrical_engineering-*
|
279 |
+
- split: elementary_chinese
|
280 |
+
path: data/elementary_chinese-*
|
281 |
+
- split: elementary_commonsense
|
282 |
+
path: data/elementary_commonsense-*
|
283 |
+
- split: elementary_information_and_technology
|
284 |
+
path: data/elementary_information_and_technology-*
|
285 |
+
- split: elementary_mathematics
|
286 |
+
path: data/elementary_mathematics-*
|
287 |
+
- split: ethnology
|
288 |
+
path: data/ethnology-*
|
289 |
+
- split: food_science
|
290 |
+
path: data/food_science-*
|
291 |
+
- split: genetics
|
292 |
+
path: data/genetics-*
|
293 |
+
- split: global_facts
|
294 |
+
path: data/global_facts-*
|
295 |
+
- split: high_school_biology
|
296 |
+
path: data/high_school_biology-*
|
297 |
+
- split: high_school_chemistry
|
298 |
+
path: data/high_school_chemistry-*
|
299 |
+
- split: high_school_geography
|
300 |
+
path: data/high_school_geography-*
|
301 |
+
- split: high_school_mathematics
|
302 |
+
path: data/high_school_mathematics-*
|
303 |
+
- split: high_school_physics
|
304 |
+
path: data/high_school_physics-*
|
305 |
+
- split: high_school_politics
|
306 |
+
path: data/high_school_politics-*
|
307 |
+
- split: human_sexuality
|
308 |
+
path: data/human_sexuality-*
|
309 |
+
- split: international_law
|
310 |
+
path: data/international_law-*
|
311 |
+
- split: journalism
|
312 |
+
path: data/journalism-*
|
313 |
+
- split: jurisprudence
|
314 |
+
path: data/jurisprudence-*
|
315 |
+
- split: legal_and_moral_basis
|
316 |
+
path: data/legal_and_moral_basis-*
|
317 |
+
- split: logical
|
318 |
+
path: data/logical-*
|
319 |
+
- split: machine_learning
|
320 |
+
path: data/machine_learning-*
|
321 |
+
- split: management
|
322 |
+
path: data/management-*
|
323 |
+
- split: marketing
|
324 |
+
path: data/marketing-*
|
325 |
+
- split: marxist_theory
|
326 |
+
path: data/marxist_theory-*
|
327 |
+
- split: modern_chinese
|
328 |
+
path: data/modern_chinese-*
|
329 |
+
- split: nutrition
|
330 |
+
path: data/nutrition-*
|
331 |
+
- split: philosophy
|
332 |
+
path: data/philosophy-*
|
333 |
+
- split: professional_accounting
|
334 |
+
path: data/professional_accounting-*
|
335 |
+
- split: professional_law
|
336 |
+
path: data/professional_law-*
|
337 |
+
- split: professional_medicine
|
338 |
+
path: data/professional_medicine-*
|
339 |
+
- split: professional_psychology
|
340 |
+
path: data/professional_psychology-*
|
341 |
+
- split: public_relations
|
342 |
+
path: data/public_relations-*
|
343 |
+
- split: security_study
|
344 |
+
path: data/security_study-*
|
345 |
+
- split: sociology
|
346 |
+
path: data/sociology-*
|
347 |
+
- split: sports_science
|
348 |
+
path: data/sports_science-*
|
349 |
+
- split: traditional_chinese_medicine
|
350 |
+
path: data/traditional_chinese_medicine-*
|
351 |
+
- split: virology
|
352 |
+
path: data/virology-*
|
353 |
+
- split: world_history
|
354 |
+
path: data/world_history-*
|
355 |
+
- split: world_religions
|
356 |
+
path: data/world_religions-*
|
357 |
+
---
|
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