nyu-visionx/VSI-590K
VSI-590K Website | Paper | GitHub | Models Authors: Shusheng Yang*, Jihan Yang*, Pinzhi Huang†, Ellis Brown†, et al. VSI-590K is a large-scale spatially-focused instruction-tuning dataset focusing on spatial reasoning. The dataset is curated from diverse sources and carefully annotated. Quick Start import json # Load from JSONL file with open('vsi_590k.jsonl', 'r') as f: for line in f: sample = json.loads(line.strip()) print(sample)… See the full description on the dataset page: https://huggingface.co/datasets/nyu-visionx/VSI-590K.
| Author / organization | nyu-visionx |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 4.7K (as reported by Hugging Face) |
| Likes | 26 |
| Created | 13 October 2025 |
| Last updated at source | 7 November 2025 |
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Connected in the knowledge graph
- nyu-visionx/Cambrian-S-7BModel · used to train
Recent changes
- 17 Oct 2026 Description: VSI-590K Website | Paper | GitHub | Models Authors: Shusheng Yang*, Jihan Yang*, Pinzhi Huang†, Ellis Brown†, et al. VSI-590K is a large-scale spatially-focused instruction-tuning dataset focusing on spatial reasoning. The dataset is curate → VSI-590K Website | Paper | GitHub | Models Authors: Shusheng Yang*, Jihan Yang*, Pinzhi Huang†, Ellis Brown†, et al. VSI-590K is a large-scale spatially-focused instruction-tuning dataset focusing on spatial reasoning. The dataset is curate
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