|
|
--- |
|
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annotations_creators: |
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|
- expert-generated |
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|
language_creators: |
|
|
- found |
|
|
language: |
|
|
- en |
|
|
license: mit |
|
|
multilinguality: |
|
|
- monolingual |
|
|
size_categories: |
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|
- 1K<n<10K |
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|
source_datasets: |
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|
- original |
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|
task_categories: |
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|
- token-classification |
|
|
- text-classification |
|
|
task_ids: |
|
|
- named-entity-recognition |
|
|
paperswithcode_id: null |
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|
pretty_name: Drug Ade Dataset |
|
|
tags: |
|
|
- medical |
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|
- pharmacovigilance |
|
|
- adverse-drug-events |
|
|
- drug-entities |
|
|
- biomedical-nlp |
|
|
- annotation-tool |
|
|
dataset_info: |
|
|
features: |
|
|
- name: id |
|
|
dtype: int64 |
|
|
- name: text |
|
|
dtype: string |
|
|
- name: drugs |
|
|
sequence: string |
|
|
- name: adverse_events |
|
|
sequence: string |
|
|
- name: is_validated |
|
|
dtype: bool |
|
|
- name: created_at |
|
|
dtype: string |
|
|
- name: updated_at |
|
|
dtype: string |
|
|
config_name: default |
|
|
data_files: |
|
|
- split: train |
|
|
path: data.jsonl |
|
|
default: true |
|
|
description: Human Annotated Dataset |
|
|
download_size: null |
|
|
dataset_size: 5000 |
|
|
configs: |
|
|
- config_name: default |
|
|
data_files: |
|
|
- split: train |
|
|
path: data.jsonl |
|
|
default: true |
|
|
description: Default configuration |
|
|
--- |
|
|
|
|
|
# DRUG_ADE_DataSet |
|
|
|
|
|
Human Annotated Dataset |
|
|
|
|
|
## Dataset Information |
|
|
- **Total Examples**: 5000 |
|
|
- **Validated Examples**: 5000 |
|
|
- **Unvalidated Examples**: 0 |
|
|
- **Filter Type**: all |
|
|
- **Privacy**: Private |
|
|
- **Upload Date**: 2025-07-31 17:25:40 |
|
|
|
|
|
## Data Format |
|
|
Each example contains: |
|
|
- `id`: Annotation ID |
|
|
- `text`: Medical text content |
|
|
- `drugs`: List of identified drugs |
|
|
- `adverse_events`: List of identified adverse events |
|
|
- `is_validated`: Validation status |
|
|
- `created_at`: Creation timestamp |
|
|
- `updated_at`: Last update timestamp |
|
|
|
|
|
## Usage |
|
|
This dataset can be used for training medical text annotation models or for research in pharmacovigilance and medical text analysis. |
|
|
|
|
|
## Citation |
|
|
If you use this dataset in your research, please cite: |
|
|
``` |
|
|
@dataset{medical_annotation_dataset, |
|
|
title={Drug Ade Dataset}, |
|
|
author={Medical Text Annotation Tool}, |
|
|
year={2025}, |
|
|
url={https://huggingface.co/datasets/MutazYoune/DRUG_ADE_DataSet} |
|
|
} |
|
|
``` |
|
|
|
