Update README.md

README.md

@@ -1,3 +1,174 @@
 ---
-license: apache-2.0
+annotations_creators:
+- expert-generated
+language:
+- en
+language_creators:
+- expert-generated
+license:
+- apache-2.0
+multilinguality:
+- monolingual
+pretty_name: clinical_trial_reason_to_stop
+size_categories:
+- 1K<n<10K
+source_datasets:
+- original
+tags:
+- bio
+- research papers
+- clinical trial
+- drug development
+task_categories:
+- text-classification
+task_ids:
+- multi-class-classification
+- multi-label-classification
 ---
+
+# Dataset Card for Clinical Trials's Reason to Stop
+
+## Table of Contents
+- [Table of Contents](#table-of-contents)
+- [Dataset Description](#dataset-description)
+  - [Dataset Summary](#dataset-summary)
+  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
+  - [Languages](#languages)
+- [Dataset Structure](#dataset-structure)
+  - [Data Instances](#data-instances)
+  - [Data Fields](#data-fields)
+  - [Data Splits](#data-splits)
+- [Dataset Creation](#dataset-creation)
+  - [Curation Rationale](#curation-rationale)
+  - [Source Data](#source-data)
+  - [Annotations](#annotations)
+  - [Personal and Sensitive Information](#personal-and-sensitive-information)
+- [Considerations for Using the Data](#considerations-for-using-the-data)
+  - [Social Impact of Dataset](#social-impact-of-dataset)
+  - [Discussion of Biases](#discussion-of-biases)
+  - [Other Known Limitations](#other-known-limitations)
+- [Additional Information](#additional-information)
+  - [Dataset Curators](#dataset-curators)
+  - [Licensing Information](#licensing-information)
+  - [Citation Information](#citation-information)
+  - [Contributions](#contributions)
+
+## Dataset Description
+
+- **Homepage:** https://www.opentargets.org
+- **Repository:** https://github.com/LesyaR/stopReasons
+- **Paper:**
+- **Point of Contact:** [email protected]
+
+### Dataset Summary
+
+This dataset contains a curated classification of more than 5000 reasons why a clinical trial has suffered an early stop.
+The text has been extracted from clinicaltrials.gov, the largest resource of clinical trial information. The text has been curated by members of the Open Targets organisation, a project aimed at providing data relevant to drug development.
+
+All 17 possible classes have been carefully defined:
+- Business_Administrative
+- Another_Study
+- Negative
+- Study_Design
+- Invalid_Reason
+- Ethical_Reason
+- Insufficient_Data
+- Insufficient_Enrollment
+- Study_Staff_Moved
+- Endpoint_Met
+- Regulatory
+- Logistics_Resources
+- Safety_Sideeffects
+- No_Context
+- Success
+- Interim_Analysis
+- Covid19
+
+### Supported Tasks and Leaderboards
+
+Multi class classification
+
+### Languages
+
+English
+
+## Dataset Structure
+
+### Data Instances
+
+```json
+{'text': 'Due to company decision to focus resources on a larger, controlled study in this patient population."',
+ 'label': 'Another_Study'}
+```
+
+
+### Data Fields
+
+`text`: contains the reason for the CT early stop
+`label`: contains one of the 17 defined classes 
+
+### Data Splits
+
+[More Information Needed]
+
+## Dataset Creation
+
+### Curation Rationale
+
+[More Information Needed]
+
+### Source Data
+
+#### Initial Data Collection and Normalization
+
+[More Information Needed]
+
+#### Who are the source language producers?
+
+[More Information Needed]
+
+### Annotations
+
+#### Annotation process
+
+[More Information Needed]
+
+#### Who are the annotators?
+
+[More Information Needed]
+
+### Personal and Sensitive Information
+
+[More Information Needed]
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+[More Information Needed]
+
+### Discussion of Biases
+
+[More Information Needed]
+
+### Other Known Limitations
+
+[More Information Needed]
+
+## Additional Information
+
+### Dataset Curators
+
+[More Information Needed]
+
+### Licensing Information
+
+This dataset has an Apache 2.0 license.
+
+### Citation Information
+
+[More Information Needed]
+
+### Contributions
+
+Thanks to [@ireneisdoomed](https://github.com/<github-username>) for adding this dataset.