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Datasets:
zjt24
/
aloha_static_fork_pick_up

Tasks:
Robotics
Tags:
LeRobot
robotics
time-series
tsfile
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 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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aloha_static_fork_pick_up TsFile

This dataset is an Apache TsFile conversion of the Hugging Face dataset lerobot/aloha_static_fork_pick_up. The source dataset was created with LeRobot and is licensed under Apache 2.0.

Modalities: Time-series. The original visual MP4 streams remain available in the source dataset; this repository stores the numeric robot state, effort, action, frame metadata, task index, and episode tags as TsFile.

Source Dataset

  • Original dataset: lerobot/aloha_static_fork_pick_up
  • Source task: "Pick up the fork and place it on the plate."
  • Codebase version: LeRobot v3.0
  • Robot type: unknown
  • Split: train (0:100)
  • Episodes: 100
  • Frames: 60,000
  • Sampling rate: 50 fps
  • Tasks: 1
  • Source data path: data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet
  • Source video path: videos/{video_key}/chunk-{chunk_index:03d}/file-{file_index:03d}.mp4

Converted Files

  • TsFile: data/aloha_static_fork_pick_up.tsfile
  • Rows: 60,000
  • Table name: aloha_static_fork_pick_up
  • Time precision: milliseconds
  • Mirrored metadata: meta/, with meta/info.json updated for the TsFile artifact

Schema

Time is generated as round(timestamp * 1000) milliseconds. Time restarts within each episode, and devices are identified by the original LeRobot tag columns.

  • TAG columns: episode_index, task_index
  • FIELD metadata columns: frame_index, sample_index, next_done
  • FIELD vectors: observation_state_0..observation_state_13, observation_effort_0..observation_effort_13, and action_0..action_13

The next_done field is stored as an INT64 flag: 0 means false and 1 means true. The converted data has 100 true flags, one terminal frame per episode.

Conversion Notes

  • The source timestamp column is dropped after being mapped to Time; it is recoverable as Time / 1000 seconds.
  • The source index column is renamed to sample_index.
  • The source next.done column is renamed to next_done and stored as 0/1 for stable TsFile readback.
  • Vector columns are flattened by preserving the full source column name, replacing . with _, and appending the element index.
  • Source video features are not uploaded here: observation.images.cam_high, observation.images.cam_left_wrist, observation.images.cam_low, and observation.images.cam_right_wrist. Use the original dataset's videos/ tree for the visual streams.
  • Aside from the redundant timestamp column and omitted video files, no numeric time-series rows are intentionally dropped.

Read Example 

from tsfile import TsFileReader

path = "data/aloha_static_fork_pick_up.tsfile"

with TsFileReader(path) as reader:
    tables = reader.get_all_table_schemas()
    print(tables.keys())
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