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 "tsfile/tsfile_py_cpp.pyx", line 567, in tsfile.tsfile_py_cpp.tsfile_reader_new_c
              tsfile.exceptions.FileOpenError: 28: 
              
              The above exception was the direct cause of the following exception:
              
              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/tsfile/tsfile.py", line 271, in _split_generators
                  scan = self._scan_metadata(all_files)
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/tsfile/tsfile.py", line 318, in _scan_metadata
                  with self._open_reader(file) as reader:
                       ~~~~~~~~~~~~~~~~~^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/tsfile/tsfile.py", line 742, in _open_reader
                  return TsFileReader(file)
                File "tsfile/tsfile_reader.pyx", line 323, in tsfile.tsfile_reader.TsFileReaderPy.__init__
              SystemError: <class '_weakrefset.WeakSet'> returned a result with an exception set
              
              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.

ethernetGrab6 (TsFile)

Apache TsFile version of kumarhans/ethernetGrab6.

Overview

A bimanual robot-manipulation dataset recorded with a bi_xarm6_follower setup (two UFACTORY xArm6 arms, each with a gripper). The single task across the whole dataset is "Grab the cable and plug it in" — picking up an Ethernet cable and inserting it. It was created with LeRobot (codebase version v2.1).

  • Scale: 30 episodes, 47,857 frames total.
  • Sampling rate: 30 fps.
  • Robot: bi_xarm6_follower — dual xArm6, 14 DOF total (per arm: 6 joints + 1 gripper).
  • Task: a single task, task_index = 0 — "Grab the cable and plug it in".

Schema (TsFile structure)

  • Time (INT64, milliseconds) — frame timestamp, round(timestamp * 1000). It restarts from 0 at the beginning of each episode (~33 ms between frames at 30 fps).
  • episode_index (TAG) — which of the 30 episodes the row belongs to.
  • task_index (TAG) — the task identifier (always 0 here). Both tags form the TsFile device dimension; query one episode with WHERE episode_index=0.
  • frame_index (FIELD, INT64) — frame number within the episode.
  • sample_index (FIELD, INT64) — the original global index column.
  • action_0 .. action_13 (FIELD, FLOAT) — the commanded target positions, 14 values: left arm joints 1–6, left gripper, then right arm joints 1–6, right gripper.
  • observation_state_0 .. observation_state_13 (FIELD, FLOAT) — the measured joint/gripper positions, same 14-element layout as action.

The source timestamp column is dropped (it equals Time ÷ 1000 seconds). Vector columns are flattened single-precision FLOAT (._, element index appended, the observation. prefix stripped).

Usage

Read the .tsfile files with the Apache TsFile Java or Python SDK.

Notes

  • Camera video streams are not included in this repository. The original dataset has 3 camera views (observation.images.ego, observation.images.left_wrist, observation.images.right_wrist, 90 videos total) under its videos/ directory — see the original dataset for them.
  • meta/ from the source is mirrored alongside the data. Aside from the redundant timestamp column noted above, no columns or rows are dropped.

Source & license

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