Datasets:

THUgewu
/

so100_test

Tasks:

Robotics

Modalities:

Tags:

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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 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.

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so100_test

Converted Apache TsFile version of diaawoo/so100_test, a LeRobot SO100 tutorial robot dataset.

Source Dataset

Original dataset: diaawoo/so100_test
Source tags: LeRobot, so100, tutorial
Source split: train
Source storage: one Parquet shard at data/train-00000-of-00001.parquet
Source scale: 2 episodes, 1,184 frames, 30 fps
Modalities: Time-series. The downloaded source snapshot does not include a videos/ directory.

TsFile Layout

Data file: data/so100_test.tsfile
Table name: so100_test
Rows: 1,184
Time precision: milliseconds
TAG columns: episode_index
FIELD columns: frame_index, sample_index, next_done, observation_state_0 through observation_state_5, and action_0 through action_5

The converted table uses the original LeRobot episode_index column as the TsFile TAG column. The source parquet does not contain task_index, so no synthetic task_index, episode_id, or task_id column is created.

Conversion Notes

Converted with the generic lerobot converter in the huggingface_to_tsfile pipeline.
Time = round(timestamp * 1000) in milliseconds and restarts per episode.
The source timestamp column is not retained as a separate FIELD because it is redundant with Time / 1000.
The source index column is renamed to sample_index.
Vector columns are flattened while preserving the full source column name with . replaced by _: observation.state[6] becomes observation_state_0..observation_state_5, and action[6] becomes action_0..action_5.
Numeric arrays are stored as single-precision FLOAT fields.
Source metadata is mirrored under meta_data/, with meta_data/info.json updated to describe the converted TsFile schema and conversion mapping.

Read Example

Use Apache TsFile tooling or SDKs to read:

data/so100_test.tsfile

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Total file size:

29.5 kB