Dataset Viewer
The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 81, in _split_generators
                  first_examples = list(islice(pipeline, self.NUM_EXAMPLES_FOR_FEATURES_INFERENCE))
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 32, in _get_pipeline_from_tar
                  fs: fsspec.AbstractFileSystem = fsspec.filesystem("memory")
                                                  ~~~~~~~~~~~~~~~~~^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/fsspec/registry.py", line 302, in filesystem
                  cls = get_filesystem_class(protocol)
                File "/usr/local/lib/python3.14/site-packages/fsspec/registry.py", line 239, in get_filesystem_class
                  raise ValueError(f"Protocol not known: {protocol}")
              ValueError: Protocol not known: memory
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 66, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                               ~~~~~~~~~~~~~~~~~~~~~~~^
                      path=dataset,
                      ^^^^^^^^^^^^^
                      config_name=config,
                      ^^^^^^^^^^^^^^^^^^^
                      token=hf_token,
                      ^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
                  info = get_dataset_config_info(
                      path,
                  ...<6 lines>...
                      **config_kwargs,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
                  raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
              datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

UF850 Quest VR Place Corn in Bowl — Raw Data

Raw, untrimmed UF850 teleoperation trajectories collected with a Quest VR controller and two Intel RealSense cameras. No trajectory trimming, resampling, or action normalization has been applied. Camera frames were captured as YUYV and stored as JPEG at collection time.

Task and prompt

Every episode uses the same English task instruction:

Place the corn in the orange bowl.

The canonical prompt is stored in episode_meta.json as task. It is intentionally not duplicated in every step-level data.json.

Task layout

External-camera view of the initial task layout

In this external-camera view, the orange bowl is near the center of the workspace and the corn is to its right. The UF850 base is behind the objects.

Dataset summary

Item Value
Episodes 51 (episode_000episode_050)
Transition steps 13,235
JPEG images 26,470 (13,235 per camera)
Nominal transition rate 10 Hz
Nominal transition time 22.06 minutes
Image size 1920×1080

Cameras

File Role RealSense serial Capture mode
cam_0.jpg wrist 845112070404 1920×1080 YUYV @ 30 FPS
cam_1.jpg external 215222078407 1920×1080 YUYV @ 30 FPS

File layout

To keep the Hub repository reliable and easy to download, each episode is distributed as one uncompressed tar archive. The archive is only a container: the JPEG and JSON file bytes inside are unchanged from the validated raw capture.

README.md
layout_external.jpg
SHA256SUMS
episodes/
  episode_000.tar
  episode_001.tar
  ...

Extract an episode with, for example:

tar -xf episodes/episode_000.tar

Each archive expands to the original capture layout:

episode_NNN/
  episode_meta.json
  step_00000/
    cam_0.jpg
    cam_1.jpg
    data.json
  step_00001/
    ...

Each step contains the synchronized observation and camera pair at time t, plus the raw robot-state difference to the following sample:

action[t] = state[t + 1] - state[t]

Actions are not divided by dt.

data.json

  • observations.ee_pos: [x, y, z, roll, pitch, yaw]
  • observations.joint_pos: six joint angles
  • observations.gripper_pos: raw xArm gripper position
  • action.delta_ee_pos: next-minus-current TCP delta
  • action.delta_joint_pos: next-minus-current joint delta
  • action.delta_gripper: next-minus-current gripper delta
  • meta: schema version, step number, sampling time, real dt, camera timestamps/frame numbers/skew, frame age, state-read duration, and wrapped Euler-angle delta

Units are millimetres for TCP XYZ, degrees for TCP Euler angles and joint angles, and the raw xArm scale (nominally 0–850) for the gripper. Delta fields use the corresponding source units.

episode_meta.json

Episode metadata records the task prompt, start/end times, termination reason, camera identities, collection configuration snapshot, step count, and error statistics.

Validation and raw-data notes

  • All 51 episodes were checked for contiguous numbering, required files, full 1920×1080 JPEG decoding, finite JSON values, next-current action alignment, camera synchronization, frame ordering, and episode metadata consistency.
  • episode_010 was missing episode-level metadata. It was reconstructed from the preserved step timestamps, finalized-file time, shared task, and the collection configuration used by the surrounding episodes.
  • A hidden temporary step in episode_010 contained only an incomplete camera write. It was never a committed sample and was removed during cleanup; all published step directories are complete.
  • Raw Euler deltas retain the legacy direct-subtraction behavior, including wrap-boundary values near ±360°. A wrapped rotation delta is also available in each step's metadata.
Downloads last month
84