DDI-Corpus-Processed

# DDI Corpus Processed Drug-Drug Interaction (DDI) detection dataset processed from the [SemEval-2013 DDI Corpus](https://github.com/isegura/DDICorpus). ## Dataset Description This dataset contains drug-drug interaction examples for 5-class classification: - **MECHANISM**: Mechanistic description of how drugs interact (e.g., inhibition, induction) - **EFFECT**: Clinical effect of concurrent use (e.g., increased toxicity, decreased efficacy) - **ADVISE**: Advisory or cautionary information about concurrent use - **INT**: General interaction without specific type - **NONE**: No interaction between the drug pair ## Dataset Statistics | Split | Total | MECHANISM | EFFECT | ADVISE | INT | NONE | |-------|-------|-----------|--------|--------|-----|------| | Train | 5,744 | 1,319 (23%) | 1,687 (29%) | 826 (14%) | 189 (3%) | 1,723 (30%) | | Test | 1,398 | 302 (22%) | 360 (26%) | 221 (16%) | 96 (7%) | 419 (30%) | ## Data Format Each example contains: - `sentence`: The original sentence containing drug mentions - `drug1`: First drug entity - `drug2`: Second drug entity - `relation`: Interaction type (MECHANISM, EFFECT, ADVISE, INT, or NONE) - `source_file`: Original XML source file - `sentence_id`: Original sentence ID - `pair_id`: Original pair ID ## Usage ```python from datasets import load_dataset dataset = load_dataset("MaziyarPanahi/DDI-Corpus-Processed") ``` ## Citation If you use this dataset, please cite: ```bibtex @article{herrero2013ddi, title={The DDI corpus: An annotated corpus with pharmacological substances and drug--drug interactions}, author={Herrero-Zazo, Mar{\'\i}a and Segura-Bedmar, Isabel and Mart{\'\i}nez, Paloma and Declerck, Thierry}, journal={Journal of Biomedical Informatics}, volume={46}, number={5}, pages={914--920}, year={2013} } ``` ## License CC BY-NC 4.0 (following original DDI Corpus license)