XPR2004/SpatialBench
SpatialBench: A Benchmark for Video Spatial Understanding SpatialBench is a benchmark suite designed to evaluate the video spatial understanding capabilities of Multimodal Large Language Models (MLLMs). This project uses an OpenAI-compatible API interface to send video frames and related spatial reasoning questions to models, automatically evaluating their response accuracy. Features Multi-dimensional Evaluation: Covers 5 major categories and 15… See the full description on the dataset page: https://huggingface.co/datasets/XPR2004/SpatialBench.
| Author / organization | XPR2004 |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 445 (as reported by Hugging Face) |
| Likes | 4 |
| Created | 26 November 2025 |
| Last updated at source | 17 March 2026 |
Recent changes
- 16 Oct 2026 Description: SpatialBench: A Benchmark for Video Spatial Understanding SpatialBench is a benchmark suite designed to evaluate the video spatial understanding capabilities of Multimodal Large Language Models (MLLMs). This project uses an OpenAI-compatibl → SpatialBench: A Benchmark for Video Spatial Understanding SpatialBench is a benchmark suite designed to evaluate the video spatial understanding capabilities of Multimodal Large Language Models (MLLMs). This project uses an OpenAI-compatibl
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