shihao1895/libero-rlds
Dataset Structure These datasets are used for MemoryVLA training. This is the standard LIBERO setting and can be directly used for other models as well.All data follow the RLDS format from the LIBERO benchmark, where each task initially contains 50 trajectories and failed rollouts are filtered out.NOTE: LIBERO-90 is also included. libero_spatial_no_noops — 10 tasks libero_object_no_noops — 10 tasks libero_goal_no_noops — 10 tasks libero_10_no_noops — 10 tasks… See the full description on the dataset page: https://huggingface.co/datasets/shihao1895/libero-rlds.
| Author / organization | shihao1895 |
|---|---|
| License (as declared) | mit |
| Downloads | 1.6K (as reported by Hugging Face) |
| Likes | 0 |
| Created | 27 October 2025 |
| Last updated at source | 6 November 2025 |
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