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 71, 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.
Test Mobile Bimanual Converted (TsFile)
This dataset is an Apache TsFile conversion of
ac-pate/test_mobile_bimanual_converted, a LeRobot mobile bimanual manipulation dataset.
It contains numeric robot actions, states, frame timing, and episode/task tags.
Videos remain in the original Hugging Face dataset and are not duplicated.
Source Dataset and Author
- Original dataset:
ac-pate/test_mobile_bimanual_converted - Original author, repository owner, and uploader: Achal Patel (
ac-pate) - License: Apache-2.0
- Robot type:
mimic_follower - LeRobot codebase version:
v3.0 - Task (
task_index=0): Grasp the blue block from one side using one arm and transfer it to the other arm on the opposite side - Split:
train, episodes 0 through 24 - Sampling rate: 30 fps
- Scale: 25 episodes, 15,177 frames, 1 task
- Source Parquet layout:
data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet - Source Parquet shards: 25
- Paper, homepage, and completed citation: not provided by the source card
The pinned Parquet files, v3 feature metadata, and remote file tree are
authoritative for this conversion. The source README embeds an older v2.1
description with 12-dimensional vectors and three video streams. The current
repository contains 15-dimensional vectors and four streams; the remote tree
also corrects the stale total_videos: 75 count and video path order in source
meta/info.json to 100 files under videos/{video_key}/chunk-000/.
TsFile Schema
Time is an INT64 millisecond timestamp computed as
round(timestamp * 1000). It starts at zero and is strictly increasing within
each episode.
| Role | Columns | TsFile type |
|---|---|---|
| TIME | Time |
INT64/TIMESTAMP |
| TAG | episode_index, task_index |
STRING device tags |
| FIELD | frame_index, sample_index |
INT64 |
| FIELD | observation_state_0 ... observation_state_14 |
FLOAT |
| FIELD | action_0 ... action_14 |
FLOAT |
The 15 state/action dimensions retain the source order: six left-arm values,
six right-arm values, then three mobile-base values. In the action vector the
base values are base_vx, base_vy, and base_omega; in state they are
base_x, base_y, and base_theta.
Videos
Videos are not included in this converted repository. The pinned source has 100 frame-aligned AV1 MP4 files at 30 fps, split across four streams:
observation.images.front- 25 per-episode MP4 filesobservation.images.left_wrist- 25 per-episode MP4 filesobservation.images.right_wrist- 25 per-episode MP4 filesobservation.images.top- 25 per-episode MP4 files
Source template: videos/{video_key}/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.mp4. Each stream has one file per
episode. Numeric rows remain aligned with the original videos through
episode_index, frame_index, and meta/episodes/.
Minimal Read Example
from tsfile import TsFileReader
reader = TsFileReader("data/ac_pate_test_mobile_bimanual_converted.tsfile")
table_name = "ac_pate_test_mobile_bimanual_converted"
columns = [
"episode_index",
"task_index",
"frame_index",
"sample_index",
"observation_state_0",
"action_0",
]
with reader.query_table(table_name, columns, batch_size=65536) as result:
batch = result.read_arrow_batch()
print(batch.to_pandas().head())
reader.close()
Citation
The source dataset does not provide a paper or completed citation. Cite Achal Patel, the original Hugging Face dataset, and the pinned source revision when using this converted artifact.
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