Dataset · Hugging Face

lytang/ChartMuseum

Name: ChartMuseum
Creator: lytang
License: cc-by-sa-4.0
Keywords: task_categories:question-answering, task_categories:visual-question-answering, language:en, license:cc-by-sa-4.0, size_categories:1K<n<10K, format:parquet, modality:image, modality:text, library:datasets, library:pandas, library:mlcroissant, library:polars, arxiv:2505.13444, region:us, chart

[NeurIPS 2025] ChartMuseum: Testing Visual Reasoning Capabilities of Large Vision-Language Models Authors: Liyan Tang, Grace Kim, Xinyu Zhao, Thom Lake, Wenxuan Ding, Fangcong Yin, Prasann Singhal, Manya Wadhwa, Zeyu Leo Liu, Zayne Sprague, Ramya Namuduri, Bodun Hu, Juan Diego Rodriguez, Puyuan Peng, Greg Durrett Leaderboard 🥇 | Paper 📃 | Code 💻 Overview ChartMuseum is a chart question answering benchmark designed to evaluate reasoning capabilities of large… See the full description on the dataset page: https://huggingface.co/datasets/lytang/ChartMuseum.

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Author / organization	lytang
License (as declared)	cc-by-sa-4.0
Downloads	2.4K (as reported by Hugging Face)
Likes	7
Created	15 May 2025
Last updated at source	19 September 2025

chartreasoning

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