Datasets:
RoboTwin ICL-paired v3
Cross-embodiment paired dataset on RoboTwin: 25 manipulation tasks rendered for 3 robots (arx-x5, franka, ur5) from a shared seed pool, so episode index i corresponds to the same scene/trajectory across all three robots.
Status (snapshot 2026-05-03)
13 tasks: 150 train + 50 val per robot.
scan_object click_bell place_empty_cup press_stapler click_alarmclock
place_container_plate stamp_seal move_pillbottle_pad place_fan
place_bread_skillet lift_pot place_phone_stand rotate_qrcode
12 tasks: 50 train + 5 val per robot (extension to 150/50 in progress).
grab_roller move_can_pot beat_block_hammer place_mouse_pad
place_object_scale move_stapler_pad place_object_stand
move_playingcard_away place_a2b_right place_a2b_left
adjust_bottle (low pair rate) turn_switch (low pair rate)
shared_seeds/<task>_seeds.txt lists every paired seed currently known per task.
Layout
<task>/
βββ arx-x5/{train,val}/{data,video,_traj_data}/ # *.hdf5, *.mp4, *.pkl
βββ franka/{train,val}/...
βββ ur5/{train,val}/...
βββ .work/ # rendering state, extension can resume from here
βββ <robot>_round*/ # planning rounds
βββ <robot>_traj_{train,val}/ # per-split trajectory cache
shared_seeds/<task>_seeds.txt # cross-robot intersection
<task>/<robot>/{train,val}/seed.txt lists the seed used for each rendered episode (ordered by episode index).
Download
huggingface-cli download yeeeiii111/robotwin-icl-paired-v3 \
--repo-type=dataset --local-dir data/robotwin/icl_paired
Tip: use huggingface-cli download ... --include 'scan_object/**' to fetch a single task.
Extending on a new machine
The pipeline that produced this snapshot lives at
knightnemo/VAM_Learn_from_Human_Video,
branch feature/robotwin-bootstrap-collection. See docs/robotwin_migration.md
for environment setup and scripts/extend_*.sh for resume scripts. The
shared_seeds + .work/ state is preserved so extension picks up exactly where
it stopped.
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