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README.md
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---
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license: cc-by-nc-4.0
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task_categories:
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- text-classification
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language:
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- en
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tags:
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- medical
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- drug-drug-interaction
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- pharmacology
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- clinical
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- ddi
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size_categories:
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- 1K<n<10K
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---
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# DDI Corpus Processed
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Drug-Drug Interaction (DDI) detection dataset processed from the [SemEval-2013 DDI Corpus](https://github.com/isegura/DDICorpus).
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## Dataset Description
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This dataset contains drug-drug interaction examples for 5-class classification:
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- **MECHANISM**: Mechanistic description of how drugs interact (e.g., inhibition, induction)
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- **EFFECT**: Clinical effect of concurrent use (e.g., increased toxicity, decreased efficacy)
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- **ADVISE**: Advisory or cautionary information about concurrent use
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- **INT**: General interaction without specific type
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- **NONE**: No interaction between the drug pair
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## Dataset Statistics
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| Split | Total | MECHANISM | EFFECT | ADVISE | INT | NONE |
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|-------|-------|-----------|--------|--------|-----|------|
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| Train | 5,744 | 1,319 (23%) | 1,687 (29%) | 826 (14%) | 189 (3%) | 1,723 (30%) |
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| Test | 1,398 | 302 (22%) | 360 (26%) | 221 (16%) | 96 (7%) | 419 (30%) |
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## Data Format
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Each example contains:
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- `sentence`: The original sentence containing drug mentions
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- `drug1`: First drug entity
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- `drug2`: Second drug entity
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- `relation`: Interaction type (MECHANISM, EFFECT, ADVISE, INT, or NONE)
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- `source_file`: Original XML source file
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- `sentence_id`: Original sentence ID
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- `pair_id`: Original pair ID
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## Usage
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```python
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from datasets import load_dataset
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dataset = load_dataset("MaziyarPanahi/DDI-Corpus-Processed")
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```
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## Citation
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If you use this dataset, please cite:
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```bibtex
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@article{herrero2013ddi,
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title={The DDI corpus: An annotated corpus with pharmacological substances and drug--drug interactions},
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author={Herrero-Zazo, Mar{\'\i}a and Segura-Bedmar, Isabel and Mart{\'\i}nez, Paloma and Declerck, Thierry},
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journal={Journal of Biomedical Informatics},
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volume={46},
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number={5},
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pages={914--920},
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year={2013}
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}
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```
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## License
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CC BY-NC 4.0 (following original DDI Corpus license)
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