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 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.

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 Battery Episodes 005-009 TsFile

Apache TsFile representation of macrodata/aloha_static_battery_ep005_009, a LeRobot v3 ALOHA manipulation dataset.

Source

  • Repository owner: Macrodata Labs
  • Repository contributor and uploader: hynky
  • License: Apache-2.0
  • Task: Place the battery into the slot of the remote controller.
  • Split: train; 5 episodes; 3,000 frame rows; 1 task; 50 fps
  • Numeric source layout: data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet
  • The source card provides no paper, homepage, separate author list, or completed citation.

Data layout

  • TsFile: data/macrodata_aloha_static_battery_ep005_009.tsfile (130,413 bytes)
  • Table: macrodata_aloha_static_battery_ep005_009
  • Rows: 3,000; episode TAG values: 0 through 4
  • Time precision: milliseconds

Time = round(timestamp * 1000) and restarts at zero for each episode. The redundant source timestamp is omitted because it equals Time / 1000 seconds. Source index is named sample_index, and frame_index is retained.

Role Columns
TIME Time
TAG episode_index, task_index
INT64 FIELD frame_index, sample_index
BOOLEAN FIELD next_done
FLOAT FIELD action_0 ... action_13
FLOAT FIELD observation_state_0 ... observation_state_13

The 14-element action and observation.state vectors are flattened to scalar FLOAT fields. No rows or numeric action/state dimensions are omitted.

Videos

The four original AV1 streams are available in the source videos/ tree:

  • videos/observation.images.cam_high/chunk-000/file-000.mp4
  • videos/observation.images.cam_left_wrist/chunk-000/file-000.mp4
  • videos/observation.images.cam_low/chunk-000/file-000.mp4
  • videos/observation.images.cam_right_wrist/chunk-000/file-000.mp4

Videos are not included here. Rows stay aligned with the original frames through episode_index and frame_index.

Read example

from tsfile import TsFileReader

reader = TsFileReader("data/macrodata_aloha_static_battery_ep005_009.tsfile")
with reader.query_table(
    "macrodata_aloha_static_battery_ep005_009",
    ["episode_index", "task_index", "frame_index", "next_done", "action_0"],
    batch_size=4096,
) as result:
    print(result.read_arrow_batch().to_pandas().head())
reader.close()

Please cite the original Hugging Face dataset and its repository owners/contributors when reusing the data.

Downloads last month
-