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 Tape (TsFile)

Apache TsFile version of lerobot/aloha_static_tape.

Overview

This dataset was created using LeRobot. It contains ALOHA robot demonstrations represented as synchronized robot state, action, frame, task, and episode time-series data.

  • Scale: 50 episodes, 35,000 frames, one train split, one task, and 50 fps.
  • Source layout: LeRobot v3.0 frame Parquet data with four associated camera video streams.

Schema (TsFile structure)

  • Time (INT64, milliseconds) — round(timestamp * 1000), restarting for each episode.
  • episode_index, task_index (TAG) — original LeRobot device dimensions; query an episode with WHERE episode_index=0.
  • frame_index, sample_index, next_done (FIELD, INT64) — frame number, source row index, and terminal-frame flag (0 or 1).
  • observation_state_0..observation_state_13 (FIELD, FLOAT) — 14-dimensional robot observation state.
  • action_0..action_13 (FIELD, FLOAT) — 14-dimensional robot action.

Vector fields are flattened into scalar FLOAT measurements. The source index and next.done fields are renamed to sample_index and next_done.

Usage

Read data/aloha_static_tape.tsfile with the Apache TsFile Java or Python SDK.

Source & license

The source timestamp column is not retained because it is exactly recoverable as Time / 1000 seconds. Camera videos are not included in this repository; they remain available in the original dataset's videos/ directory. Aside from the redundant timestamp column and video streams, no numeric time-series rows or columns are intentionally dropped.

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