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 68, 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.
omy_f3m_multi_disconnect_0 (TsFile)
Apache TsFile version of AivexRoboticsGroup/omy_f3m_multi_Disconnect-0.
Overview
A LeRobot demonstration dataset recorded on an omy_f3m_multi bimanual robot. Each record
is one control frame of a single demonstration episode: the commanded action, the measured
robot state, and the frame/task bookkeeping. The dataset covers one disconnection task.
- Task: "Disconnect the usb".
- Scale: 150 episodes, 86,923 frames at 30 fps, 1 task.
- Robot:
omy_f3m_multi(14-D action and observation state: both arms/hands). - Modalities converted: the 14-D scalar
observation.stateand 14-D scalaraction, plusframe_index/sample_index. The three camera video streams (observation.images.left_cam_wrist,observation.images.right_cam_wrist,observation.images.third_view) are not included; see below.
Schema (TsFile structure)
- Time (INT64, milliseconds) —
round(timestamp * 1000), restarting at 0 for each episode. - episode_index (TAG) — episode/device dimension. Query one episode with
WHERE episode_index=0. - task_index (TAG) — task id (single task, always 0).
- frame_index, sample_index (INT64) — source frame number and global source row index.
- action_0 .. action_13 (FLOAT) — commanded joint positions.
- observation_state_0 .. observation_state_13 (FLOAT) — measured joint positions.
Vector columns are flattened element-wise (observation.state → observation_state_0..13,
action → action_0..13). The source timestamp column is not retained because it equals
Time ÷ 1000 seconds.
Usage
Install the Apache TsFile Python SDK (pip install tsfile) and read a converted file:
from pathlib import Path
from tsfile import TsFileReader
path = Path("data/omy_f3m_multi_disconnect_0.tsfile")
with TsFileReader(str(path)) as reader:
schemas = reader.get_all_table_schemas()
print("tables:", list(schemas))
table_name = next(iter(schemas))
table = schemas[table_name]
columns = [column.get_column_name() for column in table.get_columns()]
print("columns:", columns)
field_names = [
column.get_column_name()
for column in table.get_columns()
if column.get_column_name() not in {"Time", "time"}
]
if field_names:
with reader.query_table(table_name, field_names[:3], batch_size=1024) as result:
batch = result.read_arrow_batch()
if batch is not None:
print(batch.to_pandas().head())
Source & license
- Original dataset: https://huggingface.co/datasets/AivexRoboticsGroup/omy_f3m_multi_Disconnect-0
- Author / publisher: AivexRoboticsGroup
- License: apache-2.0
- Videos: the source camera videos are not uploaded to this repository. See the original
dataset's
videos/directory.
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