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Datasets:
XNX25
/
rate70_edge_54

Tasks:
Robotics
Tags:
lerobot
tsfile
format:tsfile
time-series
License:
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 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.

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rate70_edge_54

This dataset converts iiyudana/rate70_edge_54 from LeRobot v2.1 Parquet frames to Apache TsFile. It records an ALOHA robot task: pick up a cube with the right arm and transfer it to the left arm.

  • Original dataset: iiyudana/rate70_edge_54
  • License: Apache-2.0
  • Robot type: ALOHA
  • Split: train
  • Scale: 54 episodes, 21,600 frames, 50 fps, 1 task, 1 TsFile
  • Modalities: Time-series

Files

  • data/rate70_edge_54.tsfile: numeric robot time-series data.
  • meta/: source metadata mirrored with meta/info.json rewritten for the TsFile layout.
  • Videos are not included. They remain in the source dataset videos tree.

Schema

The TsFile table is named rate70_edge_54.

Role Columns
Time Time, INT64 milliseconds
TAG episode_index, task_index
FIELD frame_index, sample_index
FIELD observation_state_0 through observation_state_13, FLOAT
FIELD action_0 through action_13, FLOAT

The original 14-element observation.state and action vectors are flattened into scalar FLOAT measurements. The source index column is retained as sample_index.

Conversion notes

  • Time = round(timestamp * 1000) with millisecond precision. Time restarts inside each episode, while episode_index and task_index identify the TsFile device.
  • The original timestamp field is omitted because it is exactly represented by Time / 1000.
  • All 21,600 numeric observations are retained. No source rows or numeric measurements are intentionally dropped apart from this redundant timestamp representation.
  • The original top-camera MP4 video streams are excluded from this conversion and remain available from the source dataset.

Read example

Read the uploaded file with an Apache TsFile SDK:

from tsfile import TsFileReader

with TsFileReader("data/rate70_edge_54.tsfile") as reader:
    tables = reader.get_all_table_schemas()
    print(tables["rate70_edge_54"])
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