tasks int64 | episodes int64 | train_episodes int64 | eval_episodes int64 | windows dict | short_windows int64 | minimum_window_frames int64 | frames int64 | errors int64 | repaired_episodes int64 | source_scene_identities_verified int64 | terminal_predicate_overrides int64 | repaired_episodes_pass_real_success bool |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
50 | 2,500 | 2,000 | 500 | {
"train": 6697,
"eval": 1664
} | 63 | 73 | 536,464 | 0 | 221 | 2,500 | 0 | true |
RoboTwin 2.0 Clean-50 at 480p
This dataset contains 2,500 rerendered RoboTwin ALOHA-AgileX demonstrations: 50 tasks with 50 episodes per task. The head and left and right wrist cameras use native 640Γ480 rendering. The auxiliary front camera retains its native 320Γ240 resolution. Images are JPEG-encoded; they are not upscaled.
The source demonstrations come from
TianxingChen/RoboTwin2.0.
Rerendering uses RoboTwin revision 6dde57155eafa3e4ebf6ad1f93a7cf7d5d41a755
and the Large_D435 camera profile for the head and wrist cameras.
The collection, conversion, and publication scripts are included in
code/ for reproducibility.
Download a task
Each task follows the official Clean-50 ZIP naming and directory layout. The core files are:
dataset/TASK/aloha-agilex_clean_50.zip
βββ aloha-agilex_clean_50/
βββ data/episode0.hdf5 β¦ episode49.hdf5
βββ instructions/episode0.json β¦ episode49.json
βββ video/episode0.mp4 β¦ episode49.mp4
βββ _traj_data/episode0.pkl β¦ episode49.pkl
βββ seed.txt
βββ scene_info.json
The archives also include per-task provenance and replay-check logs.
To download and extract one task, run:
from pathlib import Path
from zipfile import ZipFile
from huggingface_hub import hf_hub_download
archive = hf_hub_download(
repo_id="sai-prasanna/robotwin-2.0-480p",
repo_type="dataset",
filename="dataset/adjust_bottle/aloha-agilex_clean_50.zip",
)
with ZipFile(archive) as source:
source.extractall(Path("data/adjust_bottle"))
HDF5 schema
The export maps the rerendered XPolicyLab observations to the official RoboTwin
Clean-50 HDF5 keys. JPEG bytes, observed poses, and observed joint states retain
their native values. Episode filenames use episodeN without zero padding.
| Key | Contents |
|---|---|
observation/head_camera/rgb |
JPEG frames at 640Γ480 |
observation/left_camera/rgb |
Left wrist JPEG frames at 640Γ480 |
observation/right_camera/rgb |
Right wrist JPEG frames at 640Γ480 |
observation/front_camera/rgb |
Auxiliary front JPEG frames at 320Γ240 |
observation/CAMERA/intrinsic_cv |
Per-frame 3Γ3 camera intrinsics |
observation/CAMERA/cam2world_gl |
Per-frame 4Γ4 OpenGL camera-to-world matrices |
observation/CAMERA/extrinsic_cv |
Per-frame 3Γ4 OpenCV world-to-camera matrices |
endpose/left_endpose, endpose/right_endpose |
Observed XYZ and WXYZ quaternion, 7 values per arm |
endpose/left_gripper, endpose/right_gripper |
Observed scalar gripper values |
joint_action/left_arm, joint_action/right_arm |
Observed 6-joint arm states |
joint_action/left_gripper, joint_action/right_gripper |
Observed scalar gripper values |
joint_action/vector |
Left arm, left gripper, right arm, right gripper; 14 values |
pointcloud |
Empty per-frame point clouds, shape (T, 0) |
Additional action, instructions, additional_info, and data_format_version
entries preserve native commanded actions and collection metadata. action
contains native commands; joint_action contains observed states, as in the
base RoboTwin schema. Camera extrinsics are converted from OpenGL to OpenCV
coordinates using diag(1, -1, -1, 1) @ inverse(cam2world_gl).
Validation
The release contains 50 task archives and 2,500 episodes, with 536,464 frames per camera. Validation fully decoded all 2,145,856 JPEGs and checked each camera's resolution. It also checked episode counts, finite pose and joint values, frame/state alignment, camera calibration shapes, and every ZIP's CRC values.
manifest.json records per-task episode counts, decoded JPEG counts, audited
repairs, archive sizes, and SHA-256 checksums. SHA256SUMS provides the same
archive checksums for command-line verification. Every uploaded archive's
size and SHA-256 were verified against the release manifest.
Audited replay repairs
Every episode retains its corresponding original source seed and object identities. No episode uses another demonstration as a donor.
The audit identified 22 replays that failed the simulator's task success check
and 202 episodes whose object variants differed from the official source.
Three episodes belonged to both groups, giving 221 affected episodes across
22 tasks. The object mismatch came from filesystem-dependent ordering of model
files. The rerenderer restores the model IDs recorded in the official
scene_info.json while preserving the seeded random draws.
The 221 corrected episodes pass the unmodified simulator success predicate and remain successful at 0.25, 0.5, 1, and 2 seconds afterward. No terminal success check is bypassed. Repairs retain recorded arm paths where possible; contact-sensitive failures use settling time, preserved source control flow, or explicitly logged contact-path replanning. These are derived replays, and some motions and episode lengths differ from the official videos.
For put_bottles_dustbin episode 28, the first two bottles retain their source
motions. The final bottle uses a reachable neck grasp and a table handoff
within the left arm's workspace before disposal. This repairs the physical
pickup instead of accepting a failed handoff.
Episodes 30 and 31 of put_bottles_dustbin have separate audited corrections:
- Episode 30 uses its recovered original replay. Its right arm stays stationary, matching the official video and joint states. A collection runner had incorrectly quarantined this completed episode when episode 31 failed.
- Episode 31 preserves the source's leftβrightβleft arm choices. Small object motion differences crossed an arm-selection boundary during replay. Preserving the recorded choices replays all original paths and passes the simulator's terminal success check.
Episodes 30 and 31 retain all original planned paths. Their observed arm joints match the source frames exactly; gripper differences are limited to floating-point rounding, and the largest end-effector position component difference is 0.37 mm. Their earlier donor substitutions are removed.
Across the 221 corrected episodes, 212 retain every original planned arm path. The comparison verifies 1,470 unchanged segments and records 29 replanned segments.
repair_plan.json records the selected repair configurations and candidate
runs. To reproduce corrected episodes, use those configurations and the
provided repair scripts: upstream replay alone does not include added settling
or handoff changes. comparison.json records source and exported trajectory hashes and
identifies every changed arm-path segment. Per-task provenance includes the
success and stability results. Superseded failure events remain in a separate
history field; they do not describe accepted failures in this release.
The release preserves rerendered frames and states without padding or replacing them with the source release's lower-resolution observations. Physics replay is not pixel-identical to the source videos.
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