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.

Coin Add More TsFile

This dataset is a TsFile conversion of the LeRobot dataset Jinyu220/coin_add_more. It keeps the numeric robot state, action, eye, pose, frame, episode, and task data in one TsFile table. Video files are not mirrored in this converted repository.

Source Dataset

  • Original dataset: Jinyu220/coin_add_more
  • Authors/organization: Jinyu220
  • License: apache-2.0
  • LeRobot codebase version: v2.1
  • Robot type: not specified in source metadata
  • Modalities: Time-series
  • Source split: train: 0:100
  • Scale: 100 episodes, 43,297 frames, 2 tasks, 500 videos, 1 chunk
  • Sampling rate: 33 fps
  • Tasks: put_coinv2; coin_add_more
  • Source video streams: observation.images.left_eye_cam, observation.images.right_eye_cam, observation.images.wrist_cam_right, observation.images.overhead_cam, observation.images.worms_eye_cam
  • Video format: 480x640x3, AV1, 33 fps
  • Source videos: videos/

TsFile Data

  • TsFile path: data/coin_add_more.tsfile
  • Table name: coin_add_more
  • Rows: 43,297
  • Episode/task device groups: episode_index + task_index
  • Mirrored metadata: meta/episodes.jsonl, meta/episodes_stats.jsonl, meta/info.json, meta/tasks.jsonl

Schema

Column TsFile role Type Notes
Time TIME INT64 Milliseconds, computed as round(timestamp * 1000)
episode_index TAG INT64 Source episode identifier
task_index TAG INT64 Source task identifier
frame_index FIELD INT64 Source frame index, retained
sample_index FIELD INT64 Source index, renamed to avoid ambiguity
observation_state_0 ... observation_state_13 FIELD FLOAT Flattened source observation.state vector
action_0 ... action_13 FIELD FLOAT Flattened source action vector
left_eye_0 ... left_eye_1 FIELD FLOAT Flattened source left_eye vector
right_eye_0 ... right_eye_1 FIELD FLOAT Flattened source right_eye vector
right_arm_pose_0 ... right_arm_pose_15 FIELD FLOAT Flattened source right_arm_pose vector
middle_arm_pose_0 ... middle_arm_pose_15 FIELD FLOAT Flattened source middle_arm_pose vector

Conversion Notes

  • Time is synthesized from the source timestamp column as integer milliseconds.
  • The source timestamp column is dropped because it is redundant with Time / 1000 seconds.
  • The source index column is renamed to sample_index.
  • Vector columns are flattened by preserving the full source name, replacing . with _, and appending the element index.
  • episode_index and task_index are stored as TsFile TAG columns, so each episode/task pair is queryable as a device grouping.
  • Source videos are intentionally omitted from this upload; use the original dataset for video playback and frame alignment.
  • No numeric rows were intentionally dropped during conversion.

Validation

  • pipeline.py validate passed for data/coin_add_more.tsfile.
  • TsFile readback reported 43,297 rows, matching the staged Parquet row count.
  • Readback row distribution by task tag: task 0 has 35,324 rows, task 1 has 7,973 rows.

Minimal Read Example

# Read data/coin_add_more.tsfile with the Apache TsFile SDK.
# Query table: coin_add_more
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