CoolFace
Datasetpublic

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.

sourceHugging Facemitupdated 11mo agoView on Hugging Face
0likes3.4kdownloads
discussions and pull requests

Conversations for this repository live on Hugging Face.

CoolFace shows imported repositories read-only. Posting into someone else’s repository from here would need an authorised integration and the account holder’s consent, so the link goes to the source instead.

Open discussions on Hugging Face
shihao1895/libero-rlds · CoolFace