Dataset · Hugging Face

TIGER-Lab/VisCode-Multi-679K

Name: VisCode-Multi-679K
Creator: TIGER-Lab
License: apache-2.0
Keywords: task_categories:text-to-image, language:en, license:apache-2.0, size_categories:100K<n<1M, format:json, modality:text, library:datasets, library:pandas, library:mlcroissant, library:polars, arxiv:2510.23642, arxiv:2506.03930, region:us, code

VisCode-Multi-679K 🏠 Project Page | 💻 GitHub | 📖 Paper | 🤗 VisPlotBench | 🤗 VisCoder2 Models VisCode-Multi-679K is a large-scale supervised instruction-tuning dataset for training large language models to generate and debug executable visualization code across 12 programming languages. 🧠 Overview VisCode-Multi-679K contains over 679,000 samples across twelve programming languages, including: Python, LaTeX, HTML, SVG, Vega-Lite, LilyPond, Asymptote, Mermaid… See the full description on the dataset page: https://huggingface.co/datasets/TIGER-Lab/VisCode-Multi-679K.

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Author / organization	TIGER-Lab
License (as declared)	apache-2.0
Downloads	165 (as reported by Hugging Face)
Likes	6
Created	29 October 2025
Last updated at source	3 November 2025

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mradermacher/VisCoder2-3B-i1-GGUFModel · used to train
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mradermacher/VisCoder2-32B-GGUFModel · used to train

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