{"count":2,"items":[{"access":"open","article":null,"cancer_slugs":["pan-cancer"],"doi":null,"formats":["JSON","CSV"],"hf":null,"huggingface":null,"kind":"registry","license":"public domain","modalities":["clinical-text"],"name":"ClinicalTrials.gov","page":"/ai-oncology/datasets/clinicaltrials-gov","provider":"US National Library of Medicine","size":{"items":500000,"notes_en":"structured eligibility criteria, arms, outcomes and results; full API","notes_pl":"ustrukturyzowane kryteria kwalifikacji, ramiona, punkty ko\u0144cowe i wyniki; pe\u0142ne API","unit":"registered studies"},"slug":"clinicaltrials-gov","summary":"The registry that trial-matching systems such as TrialGPT retrieve from; oncology is its largest therapeutic area.","tasks":["clinical-trial-matching","information-extraction"],"url":"https://clinicaltrials.gov/","verified_at":"2026-09-05T22:25:59.082279"},{"access":"open","article":null,"cancer_slugs":["pan-cancer"],"doi":null,"formats":["JSON"],"hf":null,"huggingface":null,"kind":"benchmark","license":"MIT","modalities":["clinical-text"],"name":"MedQA (USMLE)","page":"/ai-oncology/datasets/medqa","provider":"Jin et al. (Columbia University)","size":{"items":12723,"notes_en":"multiple-choice medical licensing exam questions; also Mandarin and Traditional Chinese subsets","notes_pl":"pytania wielokrotnego wyboru z egzamin\u00f3w lekarskich; tak\u017ce podzbiory w mandary\u0144skim i tradycyjnym chi\u0144skim","unit":"questions (English)"},"slug":"medqa","summary":"The exam-style benchmark on which Med-PaLM 2, GPT-4 and MedGemma report headline accuracy; useful for comparing models, not for judging clinical safety.","tasks":["question-answering"],"url":"https://github.com/jind11/MedQA","verified_at":"2026-09-05T22:25:59.099060"}]}