Datasets:

zjt24
/

vibepi_062626

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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VibePi 062626 TsFile

This dataset is a TsFile conversion of the Hugging Face dataset VibeCuisine/vibepi-062626. The source card says it was created using LeRobot. It is a LeRobot v3.0 robotics dataset for the vibeboard_follower_tilt robot type.

Modalities: Time-series. The original dataset also contains video streams, but videos are not included in this TsFile conversion.

Source Dataset

Original dataset: VibeCuisine/vibepi-062626
Source format: LeRobot v3.0
License: Apache-2.0
Robot type: vibeboard_follower_tilt
Task: grab
Source scale: 2 episodes, 234 frames, 1 task, 20 fps
Source data layout: data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet
Source video streams: observation.images.top, observation.images.wrist, and observation.images.base, each 480 x 640 AV1 video at 20 fps
Source video files in the repository: 6

Converted Files

data/vibepi_062626_train.tsfile
Table name: vibepi_062626_train
Split: train, from the source split specification 0:2
TsFile size after conversion: 10,822 bytes
Converted rows: 234
Converted schema width: 23 columns total, including 1 Time column, 2 TAG columns, and 20 FIELD columns

The source meta/ directory is mirrored in this repository. meta/info.json has been updated so data_path points to the converted TsFile artifact and tsfile_conversion documents the mapping from the original LeRobot data.

Schema

Time: integer milliseconds, computed as round(timestamp * 1000). Time restarts within each episode, matching the source per-episode timeline.
TAG columns: episode_index, task_index.
FIELD columns: frame_index, sample_index, scalar aux_* measurements, flattened action[7], and flattened observation.state[7].
Source column index is renamed to sample_index.
Source column timestamp is dropped after creating Time, because it is redundant with Time / 1000 seconds.

Vector columns are flattened into scalar TsFile fields by preserving the full source column name, replacing . with _, and appending the element index:

action[7]            -> action_0 ... action_6
observation.state[7] -> observation_state_0 ... observation_state_6

The scalar auxiliary fields are preserved as:

aux_elevator_mm
aux_spinner_active
aux_limit_home
aux_limit_gripper

Video Policy

Videos are intentionally not uploaded here. The source video features observation.images.top, observation.images.wrist, and observation.images.base remain available in the original dataset under videos/. The TsFile artifact stores the aligned numeric state/action/time/task data.

Validation

Conversion was validated locally with the project pipeline:

.\.venv\Scripts\python.exe scripts\pipeline.py inspect configs\vibepi_062626.yaml
.\.venv\Scripts\python.exe scripts\pipeline.py convert configs\vibepi_062626.yaml
.\.venv\Scripts\python.exe scripts\pipeline.py validate configs\vibepi_062626.yaml
.\.venv\Scripts\python.exe scripts\verify_tsfile.py .\workdir\vibepi_062626\tsfile\data\vibepi_062626_train.tsfile --parquet .\workdir\vibepi_062626\staged\vibepi_062626_train.parquet

The readback check opened the TsFile successfully and confirmed that the TsFile metadata row count, query row count, and staged Parquet row count all match at 234 rows.

Read Example

from tsfile import TsFileReader

path = "data/vibepi_062626_train.tsfile"
table = "vibepi_062626_train"

with TsFileReader(path) as reader:
    columns = [
        "episode_index",
        "task_index",
        "frame_index",
        "sample_index",
        "aux_elevator_mm",
        "action_0",
        "observation_state_0",
    ]
    with reader.query_table(table, columns, batch_size=4096) as result:
        batch = result.read_arrow_batch()
        print(batch)

Downloads last month: 35

Total file size:

206 kB