Dataset · Hugging Face

multimodal-reasoning-lab/Zebra-CoT

Name: Zebra-CoT
Creator: multimodal-reasoning-lab
License: cc-by-nc-4.0
Keywords: task_categories:any-to-any, task_categories:image-text-to-text, task_categories:visual-question-answering, license:cc-by-nc-4.0, size_categories:100K<n<1M, format:parquet, modality:image, modality:text, library:datasets, library:dask, library:mlcroissant, library:polars, arxiv:2507.16746, region:us, visual-reasoning

Zebra‑CoT A diverse large-scale dataset for interleaved vision‑language reasoning traces. Dataset Description Zebra‑CoT is a diverse large‑scale dataset with 182,384 samples containing logically coherent interleaved text‑image reasoning traces across four major categories: scientific reasoning, 2D visual reasoning, 3D visual reasoning, and visual logic & strategic games. Dataset Structure Each example in Zebra‑CoT consists of: Problem statement:… See the full description on the dataset page: https://huggingface.co/datasets/multimodal-reasoning-lab/Zebra-CoT.

View on Hugging FaceReport an issue

Author / organization	multimodal-reasoning-lab
License (as declared)	cc-by-nc-4.0
Downloads	12.3K (as reported by Hugging Face)
Likes	83
Created	25 May 2025
Last updated at source	30 January 2026

visual-reasoningmultimodalchain-of-thought

Embed this entry

<iframe src="https://silytics.si/embed/item/7152bb34-6b1a-4cb1-99c5-8c1c1484e15f" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 15 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.