Hugging Face's logo

Datasets:
XNX25
/
rate70_edge_54

Tasks:
Robotics
Tags:
lerobot
tsfile
format:tsfile
time-series
License:
Dataset card Files
xet
 Community
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.

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"])
Downloads last month
-
Total file size:
2.57 MB