gate-institute/GATE-VLAP-datasets
GATE-VLAP Datasets Grounded Action Trajectory Embeddings with Vision-Language Action Planning This repository contains preprocessed datasets from the LIBERO benchmark suite in WebDataset TAR format, specifically designed for training vision-language-action models with semantic action segmentation. Data Format: WebDataset TAR We provide datasets in WebDataset TAR format for optimal performance: ✅ Fast loading - Efficient streaming during training✅ Easy downloading… See the full description on the dataset page: https://huggingface.co/datasets/gate-institute/GATE-VLAP-datasets.
| Author / organization | gate-institute |
|---|---|
| Downloads | 188 (as reported by Hugging Face) |
| Likes | 3 |
| Created | 7 December 2025 |
| Last updated at source | 7 December 2025 |
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- 16 Oct 2026 Description: GATE-VLAP Datasets Grounded Action Trajectory Embeddings with Vision-Language Action Planning This repository contains preprocessed datasets from the LIBERO benchmark suite in WebDataset TAR format, specifically designed for training vision → GATE-VLAP Datasets Grounded Action Trajectory Embeddings with Vision-Language Action Planning This repository contains preprocessed datasets from the LIBERO benchmark suite in WebDataset TAR format, specifically designed for training vision
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