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.
key-unlock-dagger-v2 (TsFile)
This dataset is an Apache TsFile conversion of the Hugging Face dataset
YOLO2431/key-unlock-dagger-v2.
The source dataset was created using LeRobot.
Modalities: Time-series. The original repository also contains synchronized RGB and depth video streams; videos are not included in this converted repository.
Source Dataset
- Original dataset:
YOLO2431/key-unlock-dagger-v2 - License:
apache-2.0 - LeRobot codebase version:
v2.1 - Robot type:
yam_bimanual - Split:
train(0:161) - Source scale from
meta/info.json:161episodes,34,279frames,1task - Source video count from
meta/info.json:483 - Sampling rate:
30fps - Source data layout:
data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet - Source RGB video layout:
videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4 - Source depth video files are also present under
videos/chunk-000/observation.depth_ffv1.*/*.mkv
Task:
Grab the key with the left hand and hand it to the right hand. Pick up the lock, insert the key into the keyhole, and turn to unlock. Open the shackle to show success, then put the unlocked lock with the key still in it into the lock box.
Converted Files
- TsFile:
data/key_unlock_dagger_v2.tsfile - Converted rows:
34,279 - Episodes:
161 - TsFile table:
key_unlock_dagger_v2 - Time precision: milliseconds
- TAG columns:
episode_index,task_index - TsFile size:
5,871,955bytes
Schema
Time is synthesized as round(timestamp * 1000) in milliseconds. The source
timestamp column is dropped because it is redundant with Time / 1000 seconds.
At 30 fps, consecutive frames are spaced by about 33 ms.
TAG columns:
episode_indextask_index
FIELD columns:
frame_indexsample_index(renamed from sourceindex)observation_state_0toobservation_state_31action_0toaction_31
Vector features are flattened by preserving the source feature name and replacing
. with _. For example, observation.state becomes observation_state_0 to
observation_state_31. The 32-element observation.state and action vectors
use the source order:
left_pos_x, left_pos_y, left_pos_z, left_rot6d_0 to left_rot6d_5,
right_pos_x, right_pos_y, right_pos_z, right_rot6d_0 to
right_rot6d_5, left_gripper, right_gripper, left_joint_0 to
left_joint_5, and right_joint_0 to right_joint_5.
Video Policy
The following source visual features are not converted into TsFile and are not uploaded here:
observation.images.headobservation.images.left_wristobservation.images.right_wristobservation.depth_ffv1.headobservation.depth_ffv1.left_wristobservation.depth_ffv1.right_wrist
Use the original dataset for RGB and depth videos:
YOLO2431/key-unlock-dagger-v2/videos.
Metadata
The source meta/ files are mirrored in this repository. meta/info.json is
updated so data_path points to data/key_unlock_dagger_v2.tsfile and includes
a tsfile_conversion object documenting the Time mapping, TAG columns,
flattened features, dropped fields, and video policy.
Validation
The converted TsFile was validated with the project pipeline and read back using the TsFile Python SDK:
- staged Parquet rows:
34,279 - TsFile metadata rows:
34,279 - TsFile query rows:
34,279 - TsFile size:
5,871,955bytes
Usage
from tsfile import TsFileReader
path = "data/key_unlock_dagger_v2.tsfile"
with TsFileReader(path) as reader:
schemas = reader.get_all_table_schemas()
print(schemas.keys())
- Downloads last month
- -