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 71, 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.

0605 Pi0 100 TsFile

Apache TsFile conversion of weiye11/0605_pi0_100, a LeRobot v2.1 SO-100 manipulation dataset.

Source Dataset

  • Original dataset: weiye11/0605_pi0_100
  • Original author and repository uploader: weiye11
  • License: Apache-2.0
  • Robot type: so100
  • Task: Grasp a lego block and put it in the bin.
  • Split: train; sampling rate: 30 fps
  • Scale: 100 episodes, 24,804 frame rows, 1 task, 100 source Parquet shards
  • Source frame layout: data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet

Data Layout

  • TsFile: data/weiye11_0605_pi0_100.tsfile
  • Table: weiye11_0605_pi0_100
  • Rows: 24,804; episodes/devices: 100
  • Time precision: milliseconds
  • meta/ retains source metadata, with meta/info.json describing the TsFile data path and schema.

Schema

Column TsFile role Type Meaning
Time TIME INT64 round(timestamp * 1000) milliseconds
episode_index TAG STRING tag (source INT64) LeRobot episode index
task_index TAG STRING tag (source INT64) LeRobot task index
frame_index FIELD INT64 Frame number within an episode
sample_index FIELD INT64 Source index, renamed
action_0 ... action_5 FIELD FLOAT Flattened action[6], source order
observation_state_0 ... observation_state_5 FIELD FLOAT Flattened observation.state[6], source order

Time restarts for each episode and is monotonic under its (episode_index, task_index) TAG device. Source timestamp is omitted because it equals Time / 1000. No source rows or numeric action/state dimensions are omitted; index is preserved as sample_index.

Storage

  • Time: TS_2DIFF + LZ4
  • FLOAT/DOUBLE fields: GORILLA + LZ4
  • INT32/INT64 fields: TS_2DIFF + LZ4
  • BOOLEAN fields: RLE + LZ4 when present; this source has none
  • Episode and task identifiers: TsFile table-model TAG/device mechanism

The TsFile is 36.36% of the combined source Parquet size.

Videos

The original dataset has 200 episode-aligned MP4 files in two camera streams, 100 per stream:

Source video template: videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4. Videos are not included here; retrieve them from the original dataset. Numeric rows remain frame-aligned through episode_index and frame_index.

Minimal Read Example

from tsfile import TsFileReader

reader = TsFileReader("data/weiye11_0605_pi0_100.tsfile")
with reader.query_table("weiye11_0605_pi0_100", ["episode_index", "task_index", "frame_index", "action_0", "observation_state_0"], batch_size=65536) as result:
    print(result.read_arrow_batch().to_pandas().head())
reader.close()

Citation

The source card provides no paper or BibTeX citation. Please cite weiye11/0605_pi0_100 and weiye11.

Downloads last month
21