Datasets:

zjt24
/

Ting_grip_box

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.

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Ting Grip Box (TsFile)

This dataset is an Apache TsFile conversion of the Hugging Face dataset ethanCSL/Ting_grip_box. The source dataset was created with LeRobot and contains demonstrations recorded with a Koch follower robot.

Modalities: Time-series. The original repository also contains synchronized camera videos; videos are not included in this converted repository.

Source Dataset

Original dataset: ethanCSL/Ting_grip_box
License: apache-2.0
LeRobot codebase version: v2.1
Robot type: koch_follower
Split: train (0:270)
Scale from meta/info.json: 270 episodes, 114,441 frames, 4 tasks
Source video count: 540 (270 episodes x 2 camera streams)
Sampling rate: 30 fps
Source data layout: data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet
Source video layout: videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4

The four source tasks are:

task_index=0: grip the green block and put into the box
task_index=1: grip the red block and put into the box
task_index=2: grip the black block and put into the box
task_index=3: grip the white block and put into the box

Converted File

TsFile: data/ting_grip_box_train.tsfile
TsFile table: ting_grip_box_train
Converted rows: 114,441
Episodes: 270
Time precision: milliseconds
TAG columns: episode_index, task_index
File size: 2,336,981 bytes

All source episodes in the train split are merged into one TsFile. The TAG columns preserve episode and task identity, so an episode can be selected with episode_index while the task can be selected with task_index.

Schema

Time is computed as round(timestamp * 1000) in milliseconds and restarts in each episode. The source timestamp column is dropped because it is redundant with Time / 1000 seconds. No source rows are dropped.

TAG columns:

episode_index
task_index

FIELD columns:

frame_index
sample_index (renamed from source index)
action_0 to action_5 (single-precision FLOAT)
observation_state_0 to observation_state_5 (single-precision FLOAT)

The six elements in both action and observation.state use the source joint order:

shoulder_pan.pos
shoulder_lift.pos
elbow_flex.pos
wrist_flex.pos
wrist_roll.pos
gripper.pos

Vector names preserve the full source feature name: . is replaced with _ and the element index is appended. For example, observation.state becomes observation_state_0 through observation_state_5.

Video Policy

The source video features observation.images.front and observation.images.top are not converted or uploaded. Each stream contains 480 x 640 RGB AV1 video at 30 fps. Use the original dataset for the synchronized videos: ethanCSL/Ting_grip_box/videos.

Numeric frame rows retain frame_index, episode_index, task_index, and sample_index, preserving their alignment with the original videos.

Metadata

The source meta/ files are mirrored in this repository. meta/info.json is updated so data_path points to data/ting_grip_box_train.tsfile; its tsfile_conversion object records the actual table name, Time mapping, TAG columns, source episode-file count, converted TsFile count, flattened features, renamed and dropped fields, row count, and frame/video alignment. The converted total_videos value is 0; the original count of 540 is preserved as tsfile_conversion.source_video_count.

Validation

The converted file was validated with the project pipeline and read back with the TsFile Python SDK:

staged Parquet rows: 114,441
TsFile metadata rows: 114,441
TsFile query rows: 114,441
duplicate (episode_index, task_index, Time) rows: 0
TsFile size: 2,336,981 bytes

Usage

from tsfile import TsFileReader

path = "data/ting_grip_box_train.tsfile"
with TsFileReader(path) as reader:
    schemas = reader.get_all_table_schemas()
    table = schemas["ting_grip_box_train"]
    print([(column.get_column_name(), column.get_category())
           for column in table.get_columns()])

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Total file size:

2.35 MB