- Clarify RoboValue training and small-scale evaluation data organization (ba28e71a6649bf7002e891cb596f2a66eddf4815)
- Copy training files to training-data (1-1000 of 14204) (8b399587cafae34113757bbf53734c1ab5816671)
- Copy training files to training-data (1001-2000 of 14204) (566f37994581b37eed01c2ad5472e191e1ad1582)
- Copy training files to training-data (2001-3000 of 14204) (a60580540d41d25a32af8a00cf6574cc6faeb112)
- Copy training files to training-data (3001-4000 of 14204) (bfb852da4836a791161a9a164e3d21e0932e86d9)
- Copy training files to training-data (4001-5000 of 14204) (ce9945d8251b8e8e6651e2babaa089d5a61d86f0)
- Copy training files to training-data (5001-6000 of 14204) (0c64572725025a17592cf691550ba854304a427e)
- Copy training files to training-data (6001-7000 of 14204) (e32e77e7983f257016754bf4f41e2faccffee922)
- Copy training files to training-data (7001-8000 of 14204) (dffa89c36b35bc676c902fe42c6156c989f76be1)
- Copy training files to training-data (8001-9000 of 14204) (f…
14 days ago
Unify task instructions across all four RoboValue subsets (#3)
Use recorded again to describe demonstrations collected again. Update only the corresponding README checksum entries; all training payload and provenance are preserved.
Align all four subset READMEs with the RoboValue dataset card
Summarize the four subset sizes, use paper task names without platform IDs, keep key state/action information visible, and fold extended field mappings and task descriptions. Training data and videos are unchanged.
23 days ago
Organize bilingual dataset into real-world and simulation subsets
Rename the real-world full-shot training directory, reserve the other three subset directories, document joint and end-effector action fields, and remove operational notes from current dataset documentation.
