zhihelu/SPRITE
🌟 Overview Embodied intelligence, a grand challenge in artificial intelligence, is fundamentally constrained by the limited spatial understanding and reasoning capabilities of current models. Prevailing efforts to address this by enhancing Vision-Language Models (VLMs) are trapped in a dilemma: template-based datasets are scalable but structurally rigid, while manual annotation is linguistically diverse but unscalable and, critically, computationally imprecise. We introduce… See the full description on the dataset page: https://huggingface.co/datasets/zhihelu/SPRITE.
| Author / organization | zhihelu |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 190 (as reported by Hugging Face) |
| Likes | 5 |
| Created | 15 January 2026 |
| Last updated at source | 20 January 2026 |
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- 17 Oct 2026 Description: 🌟 Overview Embodied intelligence, a grand challenge in artificial intelligence, is fundamentally constrained by the limited spatial understanding and reasoning capabilities of current models. Prevailing efforts to address this by enhancing → 🌟 Overview Embodied intelligence, a grand challenge in artificial intelligence, is fundamentally constrained by the limited spatial understanding and reasoning capabilities of current models. Prevailing efforts to address this by enhancing
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