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sixuexing/FAERS-NLP

FAERS-NLP Version: 1.0Author: sixuexing GitHub: FAERS-NLP Repository 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. Dataset Structure Each CSV row contains the… See the full description on the dataset page: https://huggingface.co/datasets/sixuexing/FAERS-NLP.

sourceHugging Facecc-by-nc-4.0updated 1y agoView on Hugging Face

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Dataset Card

FAERS-NLP

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

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.

Dataset Structure

Each CSV row contains the following columns:

Column	Description
`safetyreportid`	Unique ID of the safety report
`safetyreportversion`	Version number of the report
`occurcountry`	Country where the event occurred
`reporttype`	Type of report (e.g., Study report, Spontaneous report)
`serious`	Whether the event is serious (`Yes`/`No`)
`serious_specific`	Specific seriousness criteria (e.g., Hospitalization)
`receivedate`	Date FDA received the report (YYYYMMDD)
`transmissiondate`	Date report was transmitted (YYYYMMDD)
`companynumb`	Company identifier
`sendertype`	Type of sender (Regulatory Authority, Manufacturer, etc.)
`senderorganization`	Name of reporting organization
`patientonsetage`	Patient age at onset
`patientonsetageunit`	Unit of age (Year, Month, etc.)
`patientsex`	Patient sex
`reactions`	Adverse reactions reported (with recovery status)
`drugs_specific`	Full description of drugs in report
`drugnames`	List of drug names
`activesubstancenames`	List of active substances
`drugindications`	Indications for the drugs

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:

bibtex

@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}}
}