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.

AIDAS_franka_pnp_100 (TsFile)

TsFile conversion of the LeRobot-style Franka pick-and-place dataset broxKIM/AIDAS_franka_pnp_100.

  • Original dataset: https://huggingface.co/datasets/broxKIM/AIDAS_franka_pnp_100
  • Author: broxKIM
  • Robot type: franka
  • Created with: LeRobot-style metadata (codebase_version v3.0)
  • Modalities: Time-series
  • Dropped / not included: the source timestamp column (redundant with Time) and the camera video streams (not uploaded; see Conversion Notes).

Dataset Description

This dataset contains Franka pick-and-place demonstrations in a single train split.

Robot type franka
Tasks 4 (task_index=0..3)
Episodes 98
Frames / TsFile rows 60,918
Sampling rate 15 fps
Original cameras observation.images.cam_front, observation.images.cam_wrist

Each frame records Cartesian state, gripper state, joint state, target state, the combined 20-dimensional observation state, and the 7-dimensional action.

Conversion Notes

Converted to TsFile with the generic LeRobot converter.

  • One TsFile for the whole train split. All 98 episodes are stored in data/aidas_franka_pnp_100.tsfile. The source columns episode_index and task_index are TAG columns (the TsFile device dimension). Query one episode with WHERE episode_index=N, or one task with WHERE task_index=K.
  • Vector columns flattened to single-precision FLOAT, preserving the source column name (. -> _, element index appended):
    • observation.state.cartesian [6] -> observation_state_cartesian_0 .. observation_state_cartesian_5
    • observation.state.joints [7] -> observation_state_joints_0 .. observation_state_joints_6
    • observation.state.target [6] -> observation_state_target_0 .. observation_state_target_5
    • observation.state [20] -> observation_state_0 .. observation_state_19
    • action [7] -> action_0 .. action_6
  • Scalar state kept. observation.state.gripper is renamed to observation_state_gripper; index is renamed to sample_index.
  • Time. Time = round(timestamp * 1000) ms, restarting per episode. The source timestamp column is dropped because it equals Time / 1000 seconds. frame_index is kept.
  • Videos are NOT included in this repository. The original camera streams remain in the source dataset: https://huggingface.co/datasets/broxKIM/AIDAS_franka_pnp_100/tree/main/videos
  • meta/ is mirrored from the source with meta/info.json rewritten to describe the converted TsFile schema and video policy. Aside from the redundant timestamp column noted above, no numeric time-series rows are dropped.

Schema

Column Role Type
Time TIME (ms) INT64
episode_index TAG INT64
task_index TAG INT64
frame_index FIELD INT64
sample_index FIELD INT64
observation_state_gripper FIELD FLOAT
observation_state_cartesian_0 .. observation_state_cartesian_5 FIELD FLOAT
observation_state_joints_0 .. observation_state_joints_6 FIELD FLOAT
observation_state_target_0 .. observation_state_target_5 FIELD FLOAT
observation_state_0 .. observation_state_19 FIELD FLOAT
action_0 .. action_6 FIELD FLOAT

Read Example

# Read data/aidas_franka_pnp_100.tsfile with the Apache TsFile SDK.
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