datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
UniMM-Chat
Dataset Card for UniMM-Chat
Dataset Summary
UniMM-Chat dataset is an open-source, knowledge-intensive, and multi-round multimodal dialogue data powered by GPT-3.5, which consists of 1.1M diverse instructions.
UniMM-Chat leverages complementary annotations from different VL datasets and employs GPT-3.5 to generate multi-turn dialogues corresponding to each image, resulting in 117,238 dialogues, with an average of 9.89 turns per dialogue.
A diverse set of… See the full description on the dataset page: https://huggingface.co/datasets/Yirany/UniMM-Chat.PaperWritingBench
PaperWritingBench 🎻
PaperWritingBench is the first benchmark designed to evaluate how well autonomous AI research paper writing systems can synthesize raw research materials into submission-ready papers.
[Paper] [Project Page] [Code]
Dataset Structure
This repository contains:
datasets.zip: The full dataset containing cvpr2025 and iclr2025 folders with raw materials.
metadata.json: A JSON file listing metadata for all 200 papers, including venue, paper ID, number… See the full description on the dataset page: https://huggingface.co/datasets/yiwen-song/PaperWritingBench.MedXpertQA
Dataset Card for MedXpertQA
MedXpertQA is a highly challenging and comprehensive benchmark designed to evaluate expert-level medical knowledge and advanced reasoning capabilities. It features both text-based and multimodal question-answering tasks, with the multimodal subset leveraging structured clinical information alongside images.
Dataset Description
MedXpertQA comprises 4,460 questions spanning diverse medical specialties, tasks, body systems, and image… See the full description on the dataset page: https://huggingface.co/datasets/yiyanhuang/MedXpertQA.