metadata

annotations_creators:
  - expert-generated
language_creators:
  - found
language:
  - en
license: mit
multilinguality:
  - monolingual
size_categories:
  - 1K<n<10K
source_datasets:
  - original
task_categories:
  - token-classification
  - text-classification
task_ids:
  - named-entity-recognition
paperswithcode_id: null
pretty_name: Drug Ade Dataset
tags:
  - medical
  - 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}
}