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Datasets:
THUgewu
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282_tartu_a_sponge4

Tags:
TsFile
time-series
License:
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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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282_tartu_a_sponge4

Converted from the Hugging Face dataset LeRobot-worldwide-hackathon/282_Tartu_A-sponge4 to Apache TsFile format.

Source Dataset

Conversion notes:

  • LeRobot-style SO-101 follower robot dataset converted to TsFile via the generic lerobot converter. Source scale: 71 episodes, 35,438 frames, 1 task, 30 fps.
  • Numeric frame data is converted into one TsFile table stored at data/282_tartu_a_sponge4.tsfile.
  • Source columns episode_index and task_index are TAG columns; no synthetic episode_id or task_id columns are created. Query a single episode with WHERE episode_index=N.
  • Vector columns are flattened: observation.state[6] becomes observation_state_0..observation_state_5; action[6] becomes action_0..action_5. Values are stored as single-precision FLOAT.
  • Time is synthesized as round(timestamp * 1000) milliseconds. The source timestamp column is not retained as a separate field because it equals Time / 1000 seconds; frame_index is kept. Sampling rate: 30 fps.
  • Source videos are not included in this repository. They remain in the original dataset under videos/: https://huggingface.co/datasets/LeRobot-worldwide-hackathon/282_Tartu_A-sponge4/tree/main/videos
  • meta/ is mirrored from the source except that meta/info.json describes the converted TsFile schema and records the original video path separately.

Conversion Notes

  • Conversion mode: script
  • Time precision: ms
  • TsFile data files: ['data/282_tartu_a_sponge4.tsfile']
  • Converter: scripts/converters/lerobot.py

Usage 

# Read the .tsfile files with the Apache TsFile Java/Python SDK.
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