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.

roarm_m3_test

This dataset is converted from dudulrx0601/roarm_m3_test to Apache TsFile format.

Modalities: Time-series. The original dataset also contains laptop and phone camera video streams, which remain in the source Hugging Face dataset and are not included in this converted repository.

Source Dataset

  • Original dataset: dudulrx0601/roarm_m3_test
  • Format: LeRobot v2.0
  • Robot type: unknown
  • License: apache-2.0
  • Scale: 50 episodes, 4,739 frames, 1 task (pick), 30 fps
  • Original data path: data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet
  • Original video path: videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4

Converted Files

  • TsFile data: data/roarm_m3_test.tsfile
  • Mirrored metadata: meta/
  • Rows in TsFile: 4,739
  • Time precision: milliseconds

Schema

Time is synthesized as round(timestamp * 1000) and restarts per episode.

TAG columns:

  • episode_index
  • task_index

FIELD columns:

  • frame_index
  • sample_index renamed from source index
  • next_done renamed from source next.done
  • observation_state_0 through observation_state_5, flattened from observation.state[6]
  • action_0 through action_5, flattened from action[6]

Flattened vector values are stored as single-precision FLOAT fields.

Conversion Notes

  • The source timestamp column is not retained as a separate field because it is redundant with Time / 1000 seconds.
  • Source video streams observation.images.laptop and observation.images.phone are not uploaded here. Use the original dataset videos: https://huggingface.co/datasets/dudulrx0601/roarm_m3_test/tree/main/videos
  • meta/info.json is mirrored from the source and updated to describe the converted TsFile schema, original video path, row count, TAG columns, flattened features, renamed fields, and video policy.
  • Aside from the redundant timestamp field and omitted video streams, no rows or numeric time-series fields are intentionally dropped.

Read Example

# Read data/roarm_m3_test.tsfile with the Apache TsFile Java/Python SDK.
# Query one episode with a predicate such as:
# WHERE episode_index = 0
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