datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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.clinical-adverse-events-dataset
Clinical Adverse Events Dataset
Overview
This dataset contains 400 curated adverse event reports based on the FDA FAERS (FDA Adverse Event Reporting System) structure. It is designed for training AI systems in pharmaceutical safety analysis and regulatory compliance.
Dataset Description
The dataset provides comprehensive adverse event information including patient demographics, drug exposures, event narratives, outcomes, and medical histories. Each record has… See the full description on the dataset page: https://huggingface.co/datasets/Bumblebee-Robotics/clinical-adverse-events-dataset.clinical-quad-adherence-dose-changes-adverse-events-efficacy-narrative-v0.2Clinical Quad Adherence Dose Changes Adverse Events Efficacy Narrative v0.2
What this dataset does
It tests whether a model can classify coherence versus collapse in a clinical decision loop.
The loop couples four operational nodes plus narrative behavior.
Quad nodes
adherence
dose changes
adverse events
efficacy signal
Narrative node
aligned means the story matches data and constraints
spin means the story tries to justify a decision that the data does not support
Labels
0… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-adherence-dose-changes-adverse-events-efficacy-narrative-v0.2.ehr_adverse_events_phase1
Dataset Card for ehr_adverse_events_phase1
This dataset has been created with Argilla. As shown in the sections below, this dataset can be loaded into your Argilla server as explained in Load with Argilla, or used directly with the datasets library in Load with datasets.
Using this dataset with Argilla
To load with Argilla, you'll just need to install Argilla as pip install argilla --upgrade and then use the following code:
import argilla as rg
ds =… See the full description on the dataset page: https://huggingface.co/datasets/callezenwaka/ehr_adverse_events_phase1.fda_adverse_eventsfda-adverse-events
FDA adverse events (FAERS)
FDA Adverse Event Reporting System — patient-reported adverse drug reactions.
Live API
This dataset is served via a live REST API at api.ai-analytics.org. The card you're reading exists so HuggingFace's index can route AI agents + researchers to the canonical source.
API endpoint: https://api.ai-analytics.org/api/v1/fda/adverse-events/recent
Dataset landing page: https://api.ai-analytics.org/datasets/fda-adverse-events
DataCatalog (JSON-LD):… See the full description on the dataset page: https://huggingface.co/datasets/emperor-mew/fda-adverse-events.clinical-quad-adherence-dose-changes-adverse-events-efficacy-narrative-v0.1
Clinical Quad Adherence × Dose Changes × Adverse Events × Efficacy Narrative v0.1
What this is
A quad-coupling dataset that detects collapse when four forces lock together:
adherence drops or becomes inconsistent
dose changes increase
adverse event signal rises
the written efficacy narrative diverges from the underlying reality
Task
Input: one quad state rowOutput: label
0 — Stable1 — Drift2 — Collapse
Why it matters
Late-stage trial… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-adherence-dose-changes-adverse-events-efficacy-narrative-v0.1.pediatric_drug_adverse_events_dataset