Dataset Viewer
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.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.
Fast Pick and Place 30 TsFile
This dataset is a TsFile conversion of
bartek-niedzielski/fast_pick_and_place_30,
a LeRobot v2.1 robotics dataset created with LeRobot. The original task is:
place the green cube in the yellow area.
Modalities: Time-series. The converted repository contains numeric robot state, action, timing, and task metadata in Apache TsFile format. The original videos are not duplicated here.
Source Dataset
- Original dataset:
bartek-niedzielski/fast_pick_and_place_30 - Source author:
bartek-niedzielski - Source license:
apache-2.0 - Source format: LeRobot v2.1 Parquet episodes plus MP4 videos
- Split:
train: 0:30 - Scale from source
meta/info.json: 30 episodes, 7,200 frames, 1 task, 1 chunk, 60 videos - Sampling rate from source
meta/info.json: 15 fps - Source video streams:
exterior_image_1_leftandwrist_image_left, both 480x640x3, AV1, 15 fps
Converted Files
- TsFile path:
data/fast_pick_and_place_30.tsfile - Table name:
fast_pick_and_place_30 - Rows: 7,200
- Time precision: milliseconds
- Metadata: source
meta/files are mirrored undermeta/;meta/info.jsonis rewritten sodata_pathpoints to the converted TsFile and includes atsfile_conversionobject.
Schema
Time is the TsFile time column. The source episode_index and task_index
columns are declared as TAG columns so each robot episode/task can be filtered
as device metadata.
| Column | Role | Type | Notes |
|---|---|---|---|
Time |
TIME | INT64 | round(timestamp * 1000) milliseconds |
episode_index |
TAG | INT64 | Source episode index |
task_index |
TAG | INT64 | Source task index |
frame_index |
FIELD | INT64 | Source frame index, retained |
sample_index |
FIELD | INT64 | Source index renamed |
gripper_position |
FIELD | FLOAT | Scalar gripper position |
joint_position_0..joint_position_6 |
FIELD | FLOAT | Flattened from joint_position[7] |
actions_0..actions_7 |
FIELD | FLOAT | Flattened from actions[8] |
state_0..state_7 |
FIELD | FLOAT | Flattened from state[8] |
Conversion Notes
- Converted with the generic LeRobot converter in
mergedgranularity: all 30 episodes are stored in one TsFile table. Time = round(timestamp * 1000)in milliseconds. The sourcetimestampcolumn is dropped because it is redundant withTime / 1000seconds.- The source
indexcolumn is renamed tosample_index. - Vector columns are flattened by preserving the source column name and appending the element index.
- Source videos are not uploaded to this repository. They remain available in
the original dataset under
videos/. - Aside from the redundant
timestampcolumn and omitted video payloads, no source numeric time-series rows are intentionally dropped.
Validation
The converted file was validated locally with the project pipeline:
pipeline.py validate: non-empty TsFile found atdata/fast_pick_and_place_30.tsfile- TsFile readback check: 7,200 rows from TsFile metadata and query path
- Staged Parquet comparison: 7,200 rows
Minimal Read Example
from tsfile import TsFileReader
path = "data/fast_pick_and_place_30.tsfile"
with TsFileReader(path) as reader:
schemas = reader.get_all_table_schemas()
print(schemas.keys())
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