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Datasets:
zjt24
/
demo2_frames_grab

Tasks:
Robotics
Modalities:
Time-series
Size:
10K<n<100K
Tags:
tsfile
timeseries
robotics
lerobot
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 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.

Demo2 Frames Grab (TsFile)

Apache TsFile version of 1g0rrr/demo2_frames_grab.

Overview

This LeRobot v2.1 dataset records the task “Peel off protective film from adhesive tape.” It uses the sam_two robot type and provides numeric robot action and state observations for each frame.

  • Scale: 64 train episodes, 28,432 frames, one task, sampled at 30 fps.
  • Source videos: the original dataset has laptop, side, and phone camera streams. Videos are not included in this TsFile dataset; see the source videos.

Schema (TsFile structure)

  • Time (INT64, milliseconds) — round(timestamp * 1000) for each source frame; time restarts for every episode.
  • episode_index, task_index (TAG) — source episode and task dimensions; query a single episode with WHERE episode_index=0.
  • frame_index, sample_index (FIELD, INT64) — source frame index and source index (renamed to sample_index).
  • action_0 … action_6 (FIELD, FLOAT) — flattened source action[7] vector.
  • observation_state_0 … observation_state_6 (FIELD, FLOAT) — flattened source observation.state[7] vector.

The source timestamp column is represented by Time and is not retained as a duplicate field. Source vectors are flattened by element index, and their order is preserved.

Usage

Read data/demo2_frames_grab.tsfile with the Apache TsFile Java or Python SDK.

Source & license

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