Datasets:
The dataset viewer is not available for this subset.
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.
vials_recap_v1.1 TsFile
This dataset is converted from Sichang0621/vials_recap_v1.1 to Apache TsFile format.
Modalities: Time-series. The converted repository contains numeric robot state/action trajectories, scalar labels, and LeRobot metadata. Camera videos are not included in this TsFile conversion; they remain in the original Hugging Face dataset under its videos/ tree.
Source Dataset
- Original dataset:
Sichang0621/vials_recap_v1.1 - License:
apache-2.0 - Robot type from source metadata:
yam - Source codebase version from metadata:
v3.0 - Collection setup: teleoperation data collected with
limbon yam arms. - Task:
pick up all vials and place them in the stand - Source split:
train, episodes0:93 - Sampling rate: 30 fps
- Source scale: 93 episodes, 105,592 frames, 1 task.
- Source data layout:
data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet - Source video layout:
videos/{video_key}/chunk-{chunk_index:03d}/file-{file_index:03d}.mp4 - Source cameras:
head_camera,left_wrist_camera,right_wrist_camera - Source video codec:
hevc
Converted Data
- TsFile path:
data/vials_recap_v1_1.tsfile - Table name:
vials_recap_v1_1 - Converted rows: 105,592
- Episodes converted: 93
- Tasks: 1
- Source frame Parquet files converted: 93
- Output file size: 9,250,447 bytes
- Time precision: milliseconds
Schema
Time: integer timestamp in milliseconds, computed asround(timestamp * 1000).- TAG columns:
episode_index,task_index. - Integer FIELD columns:
frame_index,sample_index,correction_index,intervention. - FLOAT FIELD columns:
reward,reward_label,value_label. - STRING FIELD columns:
phase,adv_ind. - FLOAT FIELD columns:
observation_state_0throughobservation_state_13. - FLOAT FIELD columns:
action_0throughaction_13.
The 14 state and action dimensions follow the source metadata order: left_joint_0, left_joint_1, left_joint_2, left_joint_3, left_joint_4, left_joint_5, left_gripper, right_joint_0, right_joint_1, right_joint_2, right_joint_3, right_joint_4, right_joint_5, right_gripper.
Conversion Notes
- Vector columns are flattened while preserving source names:
observation.statebecomesobservation_state_0..observation_state_13, andactionbecomesaction_0..action_13. - The source
timestampcolumn is dropped because it is represented byTime / 1000seconds after conversion. - The source
indexcolumn is renamed tosample_index. - Video features
observation.images.head_camera,observation.images.left_wrist_camera, andobservation.images.right_wrist_cameraare omitted from this repository. Use the original dataset videos atSichang0621/vials_recap_v1.1/videos. - Source
meta/files are mirrored, withmeta/info.jsonupdated to describe the converted TsFile path and schema.
Read Example
from pathlib import Path
tsfile_path = Path("data/vials_recap_v1_1.tsfile")
print(tsfile_path)
# Read this file with the Apache TsFile Java/Python SDK or TsFile tools.
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