multimodal-reasoning-lab/

Zebra-CoT

A diverse large-scale dataset for interleaved vision‑language reasoning traces.

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.

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.