datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
mimic-medical-imaging-qa
MIMIC Medical Imaging QA Dataset
5,207 Bloom's-taxonomy-stratified question--answer pairs derived from 23 medical imaging lectures (RPI BMED 2300). The dataset supports the paper "MIMIC: A Course-Derivation Pipeline and Benchmark for Slide-Anchored Tutoring with a Domain-Adapted Large Language Model" and was used to fine-tune MIMIC-LM, a domain-adapted Llama-3.1-8B-Instruct model for grounded medical imaging instruction.
License
The benchmark annotations, dataset… See the full description on the dataset page: https://huggingface.co/datasets/zabir1996/mimic-medical-imaging-qa.visual-qa-llama-format
Open Paws Visual Qa Llama Format
This dataset is part of the Open Paws initiative to develop AI training data aligned with animal liberation and advocacy principles. Created to train AI systems that understand and promote animal welfare, rights, and liberation.
Dataset Details
Dataset Type: Multimodal Data
Format: JSONL (JSON Lines)
Languages: Multilingual (primarily English)
Focus: Animal advocacy and ethical reasoning
Organization: Open Paws
License: Apache 2.0… See the full description on the dataset page: https://huggingface.co/datasets/open-paws/visual-qa-llama-format.JavaError-QA
JErrRAG-Eval-800
JErrRAG-Eval-800 is the public benchmark release aligned with the paper's final canonical dataset and non-anonymous archival record.
This Hugging Face repository contains:
java_error_qa_v2/: the canonical public benchmark package
paper_online_artifacts/: the paper-facing supplementary artifacts and reproduction bundles
SHA256SUMS.txt: release-side hash anchors referenced by the paper
Dataset Summary
Total records: 800
Split sizes: train=639… See the full description on the dataset page: https://huggingface.co/datasets/HTJ008/JavaError-QA.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.Adaption-low-resource-doc-qa
Adaption Low-Resource Document Q/A
This dataset is a remastered version of
Reubencf/magazines-multilingual-vqa
prepared using Adaption's Adaptive Data platform,
with a deliberate focus on low-resource source languages — the
languages that are underrepresented in most open multimodal datasets.
What's inside
10,200 rows of multilingual document question-answer pairs grounded in
public-domain magazine / newspaper pages from archive.org.
Every row carries verbatim OCR in… See the full description on the dataset page: https://huggingface.co/datasets/Reubencf/Adaption-low-resource-doc-qa.kenya-bee-health-qa-image-triples
Kenya Bee Health Training Data
This folder is a starter database for BeeCare Anywhere / Gemma Apiary. It is intentionally small, transparent, and license-aware: use it to prove the Q/A/image-triple pipeline, then expand it with Kenyan field data before trusting model behavior in production.
Important Model Note
google/gemma-2b is a text-to-text, decoder-only model. It cannot directly read pictures. Use these image triples with a vision-capable model path, for… See the full description on the dataset page: https://huggingface.co/datasets/yahelr1/kenya-bee-health-qa-image-triples.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.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/david-sprague/Medical-Health-QA-Articles-Dataset.beecare-vision-rich-qa-bilingual
BeeCare Vision Rich QA Bilingual
Unsloth-friendly rich image dataset. Default split is train. Columns include image, text, question, answer, condition_label, task, severity, and safety/provenance fields.
In Unsloth, select this repo and map image to image, text to text if asked.