datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
sma-evidence-graph
SMA Evidence Graph
An open-source, evidence-first dataset for Spinal Muscular Atrophy (SMA) drug research.
Description
This dataset contains structured evidence extracted from PubMed papers, clinical trials
from ClinicalTrials.gov, computationally generated hypotheses, AI-designed molecules,
and DiffDock molecular docking results — all linking gene targets to potential
therapeutic interventions for SMA.
Built by a researcher who has SMA, this dataset aims to accelerate… See the full description on the dataset page: https://huggingface.co/datasets/SMAResearch/sma-evidence-graph.clinical-evidence-dependency-graph-reasoning-v0.1
Clinical Multi-Evidence State Integration v0.1
Overview
Clinical Multi-Evidence State Integration v0.1 is a structured clinical-reasoning benchmark designed to test whether an AI system can integrate multiple sequential evidence events into a coherent final clinical state.
The benchmark evaluates more than final-answer classification.
A system must determine:
how each evidence event affects each tracked clinical item;
whether an item should be confirmed… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-evidence-dependency-graph-reasoning-v0.1.