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justairr/VQA-Verify

This is the VQA-Verify dataset, introduced in the paper SATORI-R1: Incentivizing Multimodal Reasoning with Spatial Grounding and Verifiable Rewards. Arxiv Here | Github VQA-Verify is a 12k dataset annotated with answer-aligned captions and bounding boxes. It's designed to facilitate training models for Visual Question Answering (VQA) tasks, particularly those employing free-form reasoning. The dataset addresses limitations in existing VQA datasets by providing verifiable intermediate steps and… See the full description on the dataset page: https://huggingface.co/datasets/justairr/VQA-Verify.

Author / organizationjustairr
License (as declared)apache-2.0
Downloads778 (as reported by Hugging Face)
Likes2
Created22 May 2025
Last updated at source2 June 2025
visual-question-answeringreasoningreinforcement-learning
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