Zebra-CoT

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:

Source: Hugging Face Hub (multimodal-reasoning-lab/Zebra-CoT). Metadata imported from the dataset’s Hub tags.