amagipeng/VR-Bench
VR-Bench Dataset VR-Bench is a benchmark dataset for evaluating spatial reasoning capabilities of Vision-Language Models (VLMs) and Video Generation Models. Dataset Structure The dataset is split into two subsets: dataset_VR_split/ ├── train/ # Training set (96 cases) │ ├── maze/ │ ├── maze3d/ │ ├── pathfinder/ │ ├── sokoban/ │ └── trapfield/ └── eval/ # Evaluation set (24 cases) ├── maze/ ├── maze3d/ ├── pathfinder/… See the full description on the dataset page: https://huggingface.co/datasets/amagipeng/VR-Bench.
| Author / organization | amagipeng |
|---|---|
| License (as declared) | mit |
| Downloads | 176 (as reported by Hugging Face) |
| Likes | 5 |
| Created | 13 November 2025 |
| Last updated at source | 4 February 2026 |
Recent changes
- 16 Oct 2026 Description: VR-Bench Dataset VR-Bench is a benchmark dataset for evaluating spatial reasoning capabilities of Vision-Language Models (VLMs) and Video Generation Models. Dataset Structure The dataset is split into two subsets: dataset_VR_split/ ├── trai → VR-Bench Dataset VR-Bench is a benchmark dataset for evaluating spatial reasoning capabilities of Vision-Language Models (VLMs) and Video Generation Models. Dataset Structure The dataset is split into two subsets: dataset_VR_split/ ├── trai
Changes detected by Silytics between refreshes of the source.
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.