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.

qnoens Clean Table TsFile

Apache TsFile representation of the LeRobot robot dataset qnoens/clean_table. It contains numeric robot state, pose, joint, gripper, action, reward and success signals for the tabletop clean-up task.

Source

  • Original dataset: qnoens/clean_table
  • Author/uploader: qnoens
  • License: Apache-2.0
  • LeRobot version: v2.1
  • Task: clean up the table
  • Paper and citation: not provided in the source dataset card
  • Source split: train, episodes 0 through 149
  • Source data layout: data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet

Data Layout

  • Split: train
  • Table: qnoens_clean_table
  • Rows: 102,885
  • Episodes: 150
  • Tasks: 1
  • Sampling rate: 10 Hz
  • Time precision: milliseconds
  • Data file: data/qnoens_clean_table.tsfile

Schema

Time is round(timestamp * 1000) in milliseconds and restarts from zero for each episode. The source timestamp column is not retained because it is represented by Time / 1000 seconds. Rows are ordered by episode_index, task_index, and Time.

Role Columns
Time Time (INT64, milliseconds)
TAG episode_index, task_index
FIELD frame_index, sample_index (source index), next_reward, next_success, seed, gripper_state
Flattened FLOAT FIELD state_0 through state_6; robot_pose_0 through robot_pose_5; joints_0 through joints_5; action_0 through action_6

Vector values are expanded into scalar fields while preserving their source names. Dots in field names are replaced with underscores, so next.reward becomes next_reward and next.success becomes next_success.

Video Source

The four video streams remain only in the original Hugging Face repository: wrist_image_original, scene_image_original, wrist_image, and scene_image. Their source layout is videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4. Browse them at qnoens/clean_table/videos. Frame alignment uses the original episode_index and frame_index metadata.

Usage

from tsfile import TsFileReader

path = "data/qnoens_clean_table.tsfile"
reader = TsFileReader(path)
schema = reader.get_all_table_schemas()["qnoens_clean_table"]
columns = [column.get_column_name() for column in schema.get_columns()]

with reader.query_table("qnoens_clean_table", columns, batch_size=65536) as result:
    batch = result.read_arrow_batch()
Downloads last month
85