datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
UIS-QA
UIS-QA: A Benchmark for Unindexed Information Seeking
Figure 1. UIS problem. Standard agents (bottom) rely on indexed information and often fail or hallucinate; UIS-capable agents (top) use additional tools to excavate unindexed information and solve UIS tasks.
If .figs do not load, see the paper.
🔔 News
[2026.03.10] 🎉 We release the UIS-QA dataset and the paper (ICLR 2026, arXiv) today!
📋 Dataset Description
Homepage
Paper… See the full description on the dataset page: https://huggingface.co/datasets/UIS-Digger/UIS-QA.CHASE-QA
CHASE: Challenging AI with Synthetic Evaluations
The pace of evolution of Large Language Models (LLMs) necessitates new approaches for rigorous and comprehensive evaluation. Traditional human annotation is increasingly impracticable due to the complexities and costs involved in generating high-quality, challenging problems. In this work, we introduce **CHASE**, a unified framework to synthetically generate challenging problems using LLMs without human involvement. For a given task… See the full description on the dataset page: https://huggingface.co/datasets/McGill-NLP/CHASE-QA.Medical-Health-QA-Articles-Dataset
Medical Health Q&A & Articles Dataset — iCliniq, HealthTap & WebMD
A multi-source medical Q&A and health articles dataset combining doctor-answered questions and medically reviewed content from iCliniq, HealthTap, and WebMD. Built for LLM fine-tuning, medical chatbot training, clinical NLP research, and healthcare AI development.
Dataset Overview
Field
Details
Sources
iCliniq, HealthTap, WebMD
Total Records
1,000 (sample) — 50,000+ full dataset… See the full description on the dataset page: https://huggingface.co/datasets/crawlfeeds/Medical-Health-QA-Articles-Dataset.reddit-travel-qaMedical-Health-QA-Articles-Dataset
Medical Health Q&A & Articles Dataset — iCliniq, HealthTap & WebMD
A multi-source medical Q&A and health articles dataset combining doctor-answered questions and medically reviewed content from iCliniq, HealthTap, and WebMD. Built for LLM fine-tuning, medical chatbot training, clinical NLP research, and healthcare AI development.
Dataset Overview
Field
Details
Sources
iCliniq, HealthTap, WebMD
Total Records
1,000 (sample) — 50,000+ full dataset… See the full description on the dataset page: https://huggingface.co/datasets/david-sprague/Medical-Health-QA-Articles-Dataset.CSMVS-Museum-Img-QAAirbnbSthlm202503list