Datasets:

jzpeng
/

so100_set_screw

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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SO100 Set Screw (TsFile)

Source: mtitg/so100_set_screw, revision d0c82c9b1ceb444baf17564d5455733e91ce01a8.

This is a numeric time-series conversion of the LeRobot dataset for task Grab the screw and set it in the hole.. The source records an SO100 robot with six-axis state and action vectors.

Modalities: Time-series
Split: train
Sampling rate: 30 fps
Scale: 52 episodes, 42,264 frames, 52 source episode Parquet files
Converted layout: 1 TsFile with 42,264 rows

TsFile schema

The table is so100_set_screw_train.

Role	Columns	Representation
Time	`Time`	INT64 milliseconds; `round(timestamp * 1000)`
TAG	`episode_index`, `task_index`	Source episode and task dimensions
FIELD	`frame_index`, `sample_index`	Source scalar frame identifiers
FIELD	`observation_state_0` ... `_5`	6 FLOAT robot-state values
FIELD	`action_0` ... `_5`	6 FLOAT action values

Conversion notes

The source timestamp is omitted because it is represented by Time in milliseconds.
The source index is renamed to sample_index.
Every numeric vector element and all 42,264 source rows are retained.
Source metadata is mirrored under meta/; its data_path points to the TsFile and records the conversion mapping.
Videos are not downloaded or uploaded. They remain in the original dataset videos, where they preserve frame alignment with the numeric rows.

Reading

from tsfile import TsFileReader

path = "data/so100_set_screw_train.tsfile"
reader = TsFileReader(path)
table = "so100_set_screw_train"
columns = ["episode_index", "task_index", "frame_index", "sample_index", "action_0"]
with reader.query_table(table, columns, batch_size=1024) as result:
    batch = result.read_arrow_batch()
    print(batch.to_pandas().head())

Source & license

The source card states that the dataset was created with LeRobot and is licensed under Apache-2.0. The source does not provide a paper or completed citation.

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Total file size:

646 kB