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Error code: JWTInvalidSignature
Exception: InvalidSignatureError
Message: Signature verification failed
Traceback: Traceback (most recent call last):
File "/src/libs/libapi/src/libapi/jwt_token.py", line 286, in validate_jwt
decoded = jwt.decode(
jwt=token,
...<2 lines>...
options=options,
)
File "/usr/local/lib/python3.14/site-packages/jwt/api_jwt.py", line 368, in decode
decoded = self.decode_complete(
jwt,
...<8 lines>...
leeway=leeway,
)
File "/usr/local/lib/python3.14/site-packages/jwt/api_jwt.py", line 265, in decode_complete
decoded = self._jws.decode_complete(
jwt,
...<3 lines>...
detached_payload=detached_payload,
)
File "/usr/local/lib/python3.14/site-packages/jwt/api_jws.py", line 270, in decode_complete
self._verify_signature(
~~~~~~~~~~~~~~~~~~~~~~^
signing_input,
^^^^^^^^^^^^^^
...<4 lines>...
options=merged_options,
^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/jwt/api_jws.py", line 417, in _verify_signature
raise InvalidSignatureError("Signature verification failed")
jwt.exceptions.InvalidSignatureError: Signature verification failedNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Apple Pick-and-Place with Corrections (Unitree G1) — LeRobot v3.0
Teleoperated manipulation dataset on a Unitree G1 humanoid (Dex1 parallel
grippers, Unitree_G1_Dex1_UpperBody_2Cam): pick up a red or green apple and
place it on a plate. 186 episodes / 28,994 frames @ 30 fps, two cameras
(cam_head, cam_right_wrist).
Two task instructions (sent verbatim to the policy):
pick up the red apple and place it on the plate.pick up the green apple and place it on the plate.
Correction / redirect demonstrations
Beyond clean pick-place episodes, the set includes pre-grasp redirect demonstrations: episodes that begin with the hand near one apple and demonstrate moving to, grasping, and placing the other apple. These are labeled with the FINAL target's standard instruction (not a special correction phrase), so a language switch issued mid-reach at deployment lands in-distribution. Redirect-start episodes were produced by trimming the initial reach-toward-the-wrong-object segment from the raw recordings (behavior cloning imitates everything — including demonstrated mistakes).
Formats
- This repo: LeRobot v3.0 — used by the deployment/eval stack.
tysyuvraj/g1-apple2plate-lerobot-v21— same data in LeRobot v2.1 (GR00T training format).
Trained policy
tysyuvraj/GR00T-N1.7-g1-apple2plate —
GR00T N1.7 fine-tune (30k steps) on this data. Used as the manipulation policy
supervised by a Qwen3-Omni-based anticipatory HRI monitor that can stop,
redirect, or confirm completion in real time.
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