Dataset · Hugging Face

TIGER-Lab/PixelWorld

Name: PixelWorld
Creator: TIGER-Lab
License: mit
Keywords: task_categories:any-to-any, language:en, license:mit, size_categories:100K<n<1M, format:parquet, modality:image, modality:text, library:datasets, library:dask, library:mlcroissant, library:polars, arxiv:2501.19339, region:us, vqa

PixelWorld 📜 Paper | 💾 GitHub | 📂 HuggingFace Dataset PixelWorld is a multimodal benchmark that unifies text, tables, code, diagrams, and images into pixel-based inputs (PEAP: Perceive Everything as Pixels). It enables direct comparison between token-based and pixel-based processing. 🔹 Features 📚 Broad Coverage: Text-only (GLUE, SuperGLUE, MMLU-Pro), structured (TableBench), and multimodal tasks (SlidesVQA, WikiSS-QA, MathVerse). 🖼️ Unified Input:… See the full description on the dataset page: https://huggingface.co/datasets/TIGER-Lab/PixelWorld.

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Author / organization	TIGER-Lab
License (as declared)	mit
Downloads	642 (as reported by Hugging Face)
Likes	6
Created	2 February 2025
Last updated at source	17 February 2025

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16 Oct 2026 Description: PixelWorld 📜 Paper | 💾 GitHub | 📂 HuggingFace Dataset PixelWorld is a multimodal benchmark that unifies text, tables, code, diagrams, and images into pixel-based inputs (PEAP: Perceive Everything as Pixels). It enables direct comparison → PixelWorld 📜 Paper | 💾 GitHub | 📂 HuggingFace Dataset PixelWorld is a multimodal benchmark that unifies text, tables, code, diagrams, and images into pixel-based inputs (PEAP: Perceive Everything as Pixels). It enables direct comparison

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