datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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 following… See the full description on the dataset page: https://huggingface.co/datasets/sixuexing/FAERS-NLP.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 following… See the full description on the dataset page: https://huggingface.co/datasets/SanaeLaRose/FAERS-NLP.fda-faers-drug-adverse-events
FDA FAERS Drug Adverse Events 2023
One-time dated snapshot.
Reconciled 2023 FAERS extract with 1,541,888 retained cases and seven related tables; supplied 2023 deletion lists applied.
Verified coverage: 2023 Q1–Q4.
Records: 1,541,888 case rows; seven related tables.
This repository contains a 1,000-row public sample, not the full package. A sample does not establish complete historical coverage.
Limitations
Historical 2023 Q1–Q4 quarterly-extract cohort, not a… See the full description on the dataset page: https://huggingface.co/datasets/claritystorm/fda-faers-drug-adverse-events.synthetic-faers-1m-v3
Synthetic FAERS 1M v3 - Signal Detection Training Dataset
Dataset Description
Version: 3.0 (Signal-Enhanced)Records: 1,000,000 synthetic Individual Case Safety Reports (ICSRs)Signals: 70,803 injected drug-event associations (7.1%)Features: 36 columns including demographics, clinical labs, causality assessment, and temporal relationships
This is a fully synthetic pharmacovigilance dataset designed for training machine learning models in drug safety signal detection. Unlike… See the full description on the dataset page: https://huggingface.co/datasets/PrashantRGore/synthetic-faers-1m-v3.