Datasets:

zjt24
/

8ml_vial_place_30fps_fixed

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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8ml Vial Place 30fps Fixed TsFile

This dataset is a TsFile conversion of the corrected Hugging Face dataset Sichang0621/8ml_vial_place_30fps_fixed, which uses the LeRobot v3.0 format.

Modalities: Time-series. The original dataset also includes three camera video streams: observation.images.head_camera, observation.images.left_wrist_camera, and observation.images.right_wrist_camera. Videos are not included in this repository and remain available in the source dataset.

Source Dataset

Original dataset: Sichang0621/8ml_vial_place_30fps_fixed
Corrected fork of: ttotmoon/8ml_vial_place_30fps
License: Apache-2.0
Paper/homepage: https://github.com/TToTMooN/limb
Format: LeRobot v3.0
Robot type: yam
Task: place the vial into the stand
Split: single train split (0:197)
Scale: 197 episodes, 229,860 frames, 1 task
Sampling rate: 30 fps
Original video codec: HEVC

The source dataset fixes the original wrist-camera labeling bug: the left and right wrist video streams were swapped back so their labels match the physical camera mounts. The source README states that data/*.parquet carries only state, action, episode/frame/time/index/task columns, so the numeric time-series data converted here is independent of that video-label fix.

Converted Files

TsFile: data/vial_place_8ml_30fps_fixed.tsfile
Rows: 229,860
Episodes: 197
Tasks: 1 (task_index = 0)
Table name: vial_place_8ml_30fps_fixed
Time precision: milliseconds
Metadata: meta/ is mirrored from the source dataset, with meta/info.json rewritten to describe the TsFile artifact and conversion mapping.

Schema

Column	Role	Type	Notes
`Time`	TIME	INT64	`round(timestamp * 1000)`, in milliseconds; restarts per episode
`episode_index`	TAG	INT64	Source episode identifier
`task_index`	TAG	INT64	Source task identifier
`frame_index`	FIELD	INT64	Source frame index, preserved
`sample_index`	FIELD	INT64	Renamed from source `index`
`observation_state_0` ... `observation_state_13`	FIELD	FLOAT	Flattened from `observation.state[14]`
`action_0` ... `action_13`	FIELD	FLOAT	Flattened from `action[14]`

The 14 state and action dimensions are aligned with the source metadata: left_joint_0 through left_joint_5, left_gripper, right_joint_0 through right_joint_5, and right_gripper.

episode_index and task_index are TAG columns, so they form the TsFile device dimension. To read one episode, filter by episode_index.

Conversion Notes

The LeRobot frame Parquet files under data/chunk-000/ were merged into one TsFile for the train split.
Vector columns were flattened by preserving the source column name, replacing . with _, and appending the element index.
The source timestamp column is dropped because it is redundant with Time / 1000 seconds.
The source index column is renamed to sample_index.
Videos are not uploaded here. Use the source dataset videos: https://huggingface.co/datasets/Sichang0621/8ml_vial_place_30fps_fixed/tree/main/videos

Read Example

from tsfile import TsFileReader

path = "data/vial_place_8ml_30fps_fixed.tsfile"
table = "vial_place_8ml_30fps_fixed"

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

Downloads last month: 11

Total file size:

15.4 MB