Some datasets store task-space end-effector pose (names like ee_x/ee_roll or
x/y/z) instead of joint angles; the degrees mapping is meaningless there. Detect
via feature names and skip them entirely (no conversion, no upload) rather than
migrating a mislabeled arm.
download_subfolder gains a repo= arg so it can source from any monorepo; the new
extract_dataset.py scoped-downloads one sub-dataset and re-uploads it at the root
of a new standalone dataset repo.
- download_subfolder: fetch only the target sub-dataset subtree instead of
enumerating the whole community_dataset_v3 monorepo tree (fixes apparent hang)
- normalized SO gripper (RANGE_0_100) left in native 0..100 frame, matching
degrees_new datasets, instead of remapping to +/-45deg
- uncalibrated normalized datasets: skip identity value rewrite, keep normalized
units and flag them APPROXIMATE on the dataset card
- remove --allow-uncalibrated flag and its CANON_IS_CALIBRATED side effect