Hugging Face's logo

Datasets:
zjt24
/
jetson1_061026_subtask_peel_doris2

Tasks:
Robotics
Tags:
tsfile
time-series
robotics
lerobot
jetson
manipulation
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 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.

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.

Jetson1 061026 Subtask Peel Doris2 TsFile

This dataset is an Apache TsFile conversion of VibeCuisine/jetson1-061026-subtask-peel-doris2, a LeRobot v3.0 robot dataset.

Modalities: Time-series. The converted repository contains numeric robot observations, actions, frame timing, task/episode tags, and source metadata. Camera videos remain in the original Hugging Face dataset.

Source Dataset

  • Source dataset: VibeCuisine/jetson1-061026-subtask-peel-doris2
  • License: Apache-2.0
  • Robot type: vibeboard_follower_tilt
  • LeRobot codebase version: v3.0
  • Split: train
  • Scale: 43 episodes, 12,386 frames, 1 task, 20 fps
  • Source frame layout: data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet
  • Source video layout: videos/{video_key}/chunk-{chunk_index:03d}/file-{file_index:03d}.mp4
  • Task metadata: the downloaded meta/tasks.parquet contains task_index=0.

Converted Files

  • TsFile: data/jetson1_061026_subtask_peel_doris2.tsfile
  • Table: jetson1_061026_subtask_peel_doris2
  • Rows: 12,386
  • Episodes: 43
  • Time precision: milliseconds
  • Metadata: meta/ is mirrored from the source, with meta/info.json updated to describe the converted TsFile artifact.

Schema

Time is synthesized as round(timestamp * 1000) milliseconds and restarts within each episode.

TAG columns:

  • episode_index
  • task_index

Scalar FIELD columns:

  • frame_index
  • sample_index, renamed from the source index

Flattened FLOAT FIELD groups:

  • action[7] -> action_0 ... action_6
  • observation.state[7] -> observation_state_0 ... observation_state_6

Conversion Notes

  • The generic lerobot converter was used.
  • All source frame Parquet shards are merged into one TsFile table. Use episode_index and task_index TAG filters to select an episode or task.
  • Vector columns are flattened to scalar TsFile fields. Source column prefixes are preserved, with . replaced by _.
  • The source timestamp column is dropped after Time synthesis because it is redundant with Time / 1000 seconds.
  • The source index column is renamed to sample_index.
  • Source camera video streams are not included in this repository: observation.images.top, observation.images.wrist, and observation.images.base. They remain available in the original dataset under videos/.
  • No rows and no numeric time-series fields are intentionally dropped other than the redundant timestamp column noted above.

Validation

The converted TsFile was read back with the Apache TsFile Python SDK. The TsFile metadata row count and query readback both matched the staged Parquet: 12,386 rows.

Usage 

from tsfile import TsFileReader

path = "data/jetson1_061026_subtask_peel_doris2.tsfile"
reader = TsFileReader(path)

schemas = reader.get_all_table_schemas()
table_name = "jetson1_061026_subtask_peel_doris2"
columns = [
    column.get_column_name()
    for column in schemas[table_name].get_columns()
    if column.get_column_name() not in {"Time"}
]

with reader.query_table(table_name, columns, batch_size=65536) as result:
    batch = result.read_arrow_batch()
Downloads last month
31
Total file size:
1.55 MB