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 68, 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.

ALOHA Static Screw Driver (TsFile)

This repository provides the numeric time-series portion of lerobot/aloha_static_screw_driver in Apache TsFile format. The original dataset was created with LeRobot for ALOHA bimanual manipulation.

Modalities: Time-series.

Source Dataset

According to the source meta/info.json, the dataset has 50 episodes, 20,000 frames, one task, and a 50 Hz sampling rate.

Files and Scale

  • data/aloha_static_screw_driver.tsfile — one TsFile containing all 20,000 numeric observations from the train split.
  • meta/ — mirrored source metadata with converted TsFile metadata.

TsFile Schema

Table: aloha_static_screw_driver

Role Columns
Time Time (INT64, milliseconds)
TAG episode_index, task_index
FIELD frame_index, sample_index, next_done
FIELD observation_state_0 through observation_state_13 (FLOAT)
FIELD observation_effort_0 through observation_effort_13 (FLOAT)
FIELD action_0 through action_13 (FLOAT)

Conversion Notes

  • The original 14-element observation.state, observation.effort, and action vectors are flattened into scalar FLOAT measurements. Full source prefixes are retained, with . replaced by _.
  • Time = round(timestamp * 1000) has millisecond precision and restarts for every episode. The redundant source timestamp field is omitted because it is recoverable as Time / 1000.
  • frame_index is preserved; source index is renamed to sample_index; the boolean next.done is retained as the integer field next_done.
  • The four source camera streams are not included in this repository. Videos remain available from the original dataset.

Reading the TsFile

from tsfile import TsFileReader

reader = TsFileReader("data/aloha_static_screw_driver.tsfile")
print(reader.get_all_table_schemas())

Citation

@article{Zhao2023LearningFB,
  title={Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware},
  author={Tony Zhao and Vikash Kumar and Sergey Levine and Chelsea Finn},
  journal={RSS},
  year={2023},
  url={https://arxiv.org/abs/2304.13705}
}
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