FAERS-NLP

Version: 1.0
Author: sixuexing GitHub: FAERS-NLP Repository

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Dataset Summary

FAERS-NLP is a cleaned and processed version of the FDA Adverse Event Reporting System (FAERS), formatted for natural language retrieval and drug–adverse effect–disease relation extraction.

Each record corresponds to a single adverse event report, including structured and semi-structured fields suitable for NLP tasks.

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Dataset Structure

Each CSV row contains the following columns:

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FAERS source:
U.S. Food and Drug Administration. FDA Adverse Event Reporting System (FAERS) Public Dashboard. https://fis.fda.gov/extensions/FPD-QDE-FAERS/FPD-QDE-FAERS.html

This dataset:
sixuexing. FAERS-NLP: A processed dataset for drug-adverse event-disease relation extraction. Hugging Face Dataset. Version 1.0. https://huggingface.co/datasets/sixuexing/FAERS-NLP

You can cite in BibTeX format:

@misc{faers-nlp,
  author = {Xing, Sixue},
  title = {FAERS-NLP: A processed dataset for drug-adverse event-disease relation extraction},
  year = {2025},
  howpublished = {\url{https://huggingface.co/datasets/sixuexing/FAERS-NLP}},
  note = {Derived from FDA FAERS public data: \url{https://fis.fda.gov/extensions/FPD-QDE-FAERS/FPD-QDE-FAERS.html}}
}