Datasets:

zjt24
/

pick_tblock_mp_pdscale_10

Tasks:

Robotics

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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.

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Pick TBlock MP PDScale 10 TsFile

This dataset is a TsFile conversion of younghyopark/pick_tblock_mp_pdscale_10, a LeRobot v2.1 dataset created with the DualPanda robot setup.

Modalities: Time-series.

Source Dataset

Original dataset: younghyopark/pick_tblock_mp_pdscale_10
Created with: LeRobot
License: apache-2.0
Codebase version: v2.1
Robot type: DualPanda
Source task: pick something up (the source tasks.jsonl string contains one trailing space)
Source split: train 0:1000
Source scale: 1000 episodes, 173,000 frames, 1 task, 1 data chunk, 50 fps
Source videos: 0 videos; source video_path is null

Converted Data

TsFile path: data/pick_tblock_mp_pdscale_10.tsfile
Table name: pick_tblock_mp_pdscale_10
Rows: 173,000
Episodes: 1000
Time precision: milliseconds
Layout: all train episodes are stored in one TsFile, using TsFile table TAG columns for episode and task identity

Schema

Time is computed as round(timestamp * 1000) in milliseconds and restarts per episode. The source timestamp column is not retained as a FIELD because it is represented by Time / 1000 seconds.

TAG columns:

episode_index
task_index

Scalar FIELD columns:

frame_index
sample_index converted from the source index column

Flattened vector FIELD groups:

observation.joint -> observation_joint_0 through observation_joint_15
observation.state -> observation_state_0 through observation_state_29
observation.environment_state -> observation_environment_state_0 through observation_environment_state_6
observation.qvel -> observation_qvel_0 through observation_qvel_29
observation.env_qvel -> observation_env_qvel_0 through observation_env_qvel_5
observation.ee_pose -> observation_ee_pose_0 through observation_ee_pose_15
action.ctrl -> action_ctrl_0 through action_ctrl_15
action.joint -> action_joint_0 through action_joint_15
action.ee_pose -> action_ee_pose_0 through action_ee_pose_15

All flattened vector values are stored as scalar FLOAT fields. The flattening preserves the source column name prefix, replaces . with _, and appends the element index.

Conversion Notes

Source timestamp was used to create Time and was dropped as a redundant field.
Source index was renamed to sample_index.
Source columns episode_index and task_index are TAG columns, not regular fields.
Source metadata is mirrored under meta/, with meta/info.json updated to describe the TsFile artifact.
No videos are uploaded here because the source metadata reports total_videos: 0 and video_path: null.

Read Example

The converted file is data/pick_tblock_mp_pdscale_10.tsfile. After loading it with Apache TsFile or IoTDB tooling, query one episode by TAG:

SELECT frame_index, observation_state_0, action_ctrl_0
FROM pick_tblock_mp_pdscale_10
WHERE episode_index = 0 AND task_index = 0
ORDER BY Time;

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Total file size:

115 MB