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.
ALOHA Static Tape (TsFile)
Apache TsFile version of lerobot/aloha_static_tape.
Overview
This dataset was created using LeRobot. It contains ALOHA robot demonstrations represented as synchronized robot state, action, frame, task, and episode time-series data.
- Scale: 50 episodes, 35,000 frames, one
trainsplit, one task, and 50 fps. - Source layout: LeRobot v3.0 frame Parquet data with four associated camera video streams.
Schema (TsFile structure)
- Time (INT64, milliseconds) —
round(timestamp * 1000), restarting for each episode. - episode_index, task_index (TAG) — original LeRobot device dimensions;
query an episode with
WHERE episode_index=0. - frame_index, sample_index, next_done (FIELD, INT64) — frame number,
source row index, and terminal-frame flag (
0or1). - observation_state_0..observation_state_13 (FIELD, FLOAT) — 14-dimensional robot observation state.
- action_0..action_13 (FIELD, FLOAT) — 14-dimensional robot action.
Vector fields are flattened into scalar FLOAT measurements. The source index
and next.done fields are renamed to sample_index and next_done.
Usage
Read data/aloha_static_tape.tsfile with the Apache TsFile Java or Python SDK.
Source & license
- Original dataset: https://huggingface.co/datasets/lerobot/aloha_static_tape
- Author / publisher: LeRobot (Hugging Face)
- Paper: not declared by the original dataset
- License: Apache-2.0
The source timestamp column is not retained because it is exactly recoverable
as Time / 1000 seconds. Camera videos are not included in this repository;
they remain available in the original dataset's
videos/
directory. Aside from the redundant timestamp column and video streams, no
numeric time-series rows or columns are intentionally dropped.
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