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Datasets:
zjt24
/
pack2_starts_slow

Modalities:
Time-series
Size:
10K<n<100K
Tags:
tsfile
timeseries
robotics
lerobot
so100
Dataset card Files
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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.

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Pack2 Starts Slow TsFile

This dataset contains the numeric time-series portion of andlyu/pack2_starts_slow converted to Apache TsFile format.

Modalities: Time-series. The original dataset also includes video streams, which remain in the source Hugging Face repository and are not duplicated here.

Source Dataset

  • Original dataset: andlyu/pack2_starts_slow
  • Source format: LeRobot v2.1 Parquet frame data plus MP4 videos
  • Robot type: so100_follower
  • Task: Pack berries from plate to shell
  • Sampling rate: 30 fps
  • Source scale: 150 episodes, 60,756 frames, 1 task, 1 chunk, 1,200 videos
  • License: not specified in the source metadata

Converted Files

  • data/pack2_starts_slow_train.tsfile: 54,675 rows from 135 episodes
  • data/pack2_starts_slow_val.tsfile: 6,081 rows from 15 validation episodes
  • Total converted rows: 60,756

The split assignment follows the source meta/info.json split metadata. The source val split is exposed as the validation file.

TsFile Schema

  • Time: generated timestamp in milliseconds
  • TAG columns: episode_index, task_index
  • FIELD columns: frame_index, sample_index
  • FIELD columns from action[6]: action_0 through action_5
  • FIELD columns from observation.state[6]: observation_state_0 through observation_state_5

Conversion Notes

  • Time = round(timestamp * 1000) milliseconds, restarting within each episode.
  • The source timestamp column is dropped because it is represented by Time / 1000 seconds.
  • The source index column is renamed to sample_index.
  • Vector columns are flattened by preserving the source column name, replacing . with _, and appending the element index.
  • Video features under observation.images.* are omitted from TsFile; use the original dataset's videos/ directory for frame-aligned MP4 streams.
  • Source meta/ files are mirrored, with meta/info.json extended by a tsfile_conversion object documenting the converted schema and video policy.

Minimal Read Example 

from tsfile import TsFileReader

path = "data/pack2_starts_slow_train.tsfile"
with TsFileReader(path) as reader:
    tables = reader.get_all_table_schemas()
    print(tables.keys())
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