YuChuang1205/VersaCoT-10K
VersaCoT-10K: A Multi-Domain Visual Chain-of-Thought Dataset VersaCoT-10K is a high-quality, multi-domain visual Chain-of-Thought (CoT) dataset introduced in From Stages to States: Unified Iterative Reasoning for MLLMs. It contains 10,000 single-image multiple-choice visual question-answering samples spanning eight diverse reasoning domains. Each sample provides visual inputs, questions, candidate options, ground-truth answers, and high-quality CoT annotations, supporting both… See the full description on the dataset page: https://huggingface.co/datasets/YuChuang1205/VersaCoT-10K.
| Author / organization | YuChuang1205 |
|---|---|
| Downloads | 0 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 20 October 2026 |
| Last updated at source | 20 October 2026 |
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- 20 Oct 2026 Description: none → VersaCoT-10K: A Multi-Domain Visual Chain-of-Thought Dataset VersaCoT-10K is a high-quality, multi-domain visual Chain-of-Thought (CoT) dataset introduced in From Stages to States: Unified Iterative Reasoning for MLLMs. It contains 10,000 s
- 20 Oct 2026 Topics added task_categories:visual-question-answering, multimodal-reasoning, chain-of-thought, visual-reasoning, reasoning-state-refinement
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