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.

SAM Fold Cloth (TsFile)

Apache TsFile version of girardijp/sam_fold_cloth_merge.

Overview

A bimanual cloth-folding manipulation dataset recorded on a SAM dual-arm robot (robot_type = sam_bimanual). Each episode is a teleoperated demonstration of the single task "Fold a cloth", capturing the synchronized joint states and commanded actions of both arms.

  • Episodes: 108 demonstrations of one task ("Fold a cloth").
  • Frames: 112,536 timesteps total, recorded at 30 fps.
  • Robot: SAM bimanual (two 7-DoF arms β€” 6 joints + gripper per arm).
  • Source format: LeRobot v2.1.

Schema (TsFile structure)

  • Time (INT64, milliseconds) β€” per-frame timestamp, restarts at 0 for each episode (round(timestamp * 1000); ~33 ms apart at 30 fps).
  • episode_index (TAG) β€” demonstration id (0–107). Query a single episode with WHERE episode_index=0.
  • task_index (TAG) β€” task id (always 0; the dataset has one task).
  • frame_index (FIELD, INT64) β€” frame number within the episode.
  • sample_index (FIELD, INT64) β€” the source global index column.
  • action_0 .. action_13 (FIELD, FLOAT) β€” commanded joint targets.
  • observation_state_0 .. observation_state_13 (FIELD, FLOAT) β€” measured joint states.

The 14 action / state channels are the bimanual joint set, in order: left_shoulder_pan, left_shoulder_lift, left_elbow_flex, left_wrist_flex, left_wrist_pan, left_wrist_roll, left_gripper, right_shoulder_pan, right_shoulder_lift, right_elbow_flex, right_wrist_flex, right_wrist_pan, right_wrist_roll, right_gripper.

The source timestamp column is dropped because it equals Time / 1000. Camera videos are not included in this repository (see below).

Usage

Read the .tsfile file with the Apache TsFile Java or Python SDK.

# pip install tsfile
from tsfile import TsFileReader
reader = TsFileReader("data/sam_fold_cloth_merge.tsfile")
# query one episode: WHERE episode_index=0

Videos

The original dataset records four camera streams per episode (observation.images.top_camera, bottom_camera, left, right). These MP4 videos are not included here β€” they are not time-series data. Retrieve them from the original dataset under girardijp/sam_fold_cloth_merge/videos.

Source & license

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