hunarbatra/STVQA-7K
STVQA-7K: SpatialThinker Visual Question Answering Dataset STVQA-7K is a high-quality spatial visual question answering dataset comprising 7,587 samples fully grounded in human-annotated scene graphs from Visual Genome. The dataset is designed for training and evaluating spatial reasoning capabilities in multimodal large language models. Spatial Reasoning Categories STVQA-7K covers 9 distinct spatial reasoning categories:… See the full description on the dataset page: https://huggingface.co/datasets/hunarbatra/STVQA-7K.
| Author / organization | hunarbatra |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 157 (as reported by Hugging Face) |
| Likes | 3 |
| Created | 13 August 2025 |
| Last updated at source | 29 January 2026 |
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- 16 Oct 2026 Description: STVQA-7K: SpatialThinker Visual Question Answering Dataset STVQA-7K is a high-quality spatial visual question answering dataset comprising 7,587 samples fully grounded in human-annotated scene graphs from Visual Genome. The dataset is desig → STVQA-7K: SpatialThinker Visual Question Answering Dataset STVQA-7K is a high-quality spatial visual question answering dataset comprising 7,587 samples fully grounded in human-annotated scene graphs from Visual Genome. The dataset is desig
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