license:mit region:us
---
license: mit
---
## Overview

This dataset contains 17,000 synthetic tweets for Named Entity Recognition (NER) focused on Adverse Drug Events (ADEs). It includes:

- **8,500 positive samples**: Tweets mentioning ADEs.
- **8,500 negative samples**: Tweets without ADEs.

## Format

The dataset follows the BRAT standoff format:

- **.txt files**: Contain the tweet text.
- **.ann files**: Contain ADE annotations, including entity linking to MedDRA LLT IDs.

### Example

- `pos_6765.txt`: `@USER_________ Bedaquiline is a nightmare for TB patients. I had to have 3 teeth abscessed due to it.`
- `pos_6765.ann`: 
  ```
  T1	ADE 75 90	teeth abscessed
  N1	Reference T1 meddra_llt_id:10044016	Tooth abscess
  ```

## File Naming Convention

- **Positive samples**: `pos_<number>`
- **Negative samples**: `neg_<number>`

## Citation

If you use this dataset, please cite:

```
No citation is available yet
```