datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
oncology-trial-strategy
Learning Clinical-Trial Strategy: Offline Policy Training for Decision Agents
Oncology trial-strategy decision episodes — the dataset for our ICML 2026 workshop paper.
Temporal dataset for offline policy training of clinical-trial-strategy decision agents, from our
ICML 2026 workshop paper, accepted at two workshops:
GenBio (Generative and Agentic AI for Biology) as "Learning Clinical-Trial Strategy: Offline
Policy Training for Decision Agents".
Offline2Online (Decision-Making… See the full description on the dataset page: https://huggingface.co/datasets/WillBolton/oncology-trial-strategy.Oncology-Cancer-DataMultiModal-Oncology-FHIRThe Anode-MultiModal-Oncology-FHIR dataset is a high-fidelity, synthetic longitudinal record set designed to bridge the gap between genomic sequencing, clinical observations, and therapeutic outcomes. Structured in HL7 FHIR R4, this dataset provides a "ground truth" environment for training Multi-Modal Large Language Models (M-LLMs) in the precision oncology space, specifically targeting Non-Small Cell Lung Cancer (NSCLC) and complex immunotherapy responses.
Dataset Summary
Unlike generic… See the full description on the dataset page: https://huggingface.co/datasets/AnodeAI/MultiModal-Oncology-FHIR.Medical_oncology_01
📖 Dataset Summary
This dataset contains high-fidelity, deterministic synthetic patient records for Non-Small Cell Lung Cancer (NSCLC).
Unlike traditional generative AI that "guesses" data based on existing seeds, the Anode Zero-Seed Engine generates these records from first principles using medical logic, clinical guidelines, and genomic constraints. This ensures 100% biological and clinical consistency across all longitudinal fields.
🧬 Technical Specifications &… See the full description on the dataset page: https://huggingface.co/datasets/Sampade07/Medical_oncology_01.Anode_oncology_medicalOncology-Cancer-Approved-DrugsAnode_oncology_medical_dataOncology-Companion-Diagnosticsfaers-oncology-drug-safety
Oncology — Drug Safety Intelligence (FAERS 2020–2025)
Version: 1.0.0 | Records: 928,991 | Source: FDA FAERS
Dataset Summary
Structured adverse event reports for oncology drugs from the FDA's FAERS
database, 2020–2025. Covers serious adverse events only (hospitalization,
life-threatening outcomes, death). Each record includes the suspect drug(s),
reported reactions (MedDRA coded), patient demographics, outcome codes,
reporter country, and seriousness flags.… See the full description on the dataset page: https://huggingface.co/datasets/RubyIntelligence/faers-oncology-drug-safety.Genomics_oncologyOncology_cancer_ehrGenomics_oncology