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.
ALOHA Static Battery Episodes 005-009 TsFile
Apache TsFile representation of macrodata/aloha_static_battery_ep005_009, a LeRobot v3 ALOHA manipulation dataset.
Source
- Repository owner: Macrodata Labs
- Repository contributor and uploader: hynky
- License: Apache-2.0
- Task: Place the battery into the slot of the remote controller.
- Split:
train; 5 episodes; 3,000 frame rows; 1 task; 50 fps - Numeric source layout:
data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet - The source card provides no paper, homepage, separate author list, or completed citation.
Data layout
- TsFile:
data/macrodata_aloha_static_battery_ep005_009.tsfile(130,413 bytes) - Table:
macrodata_aloha_static_battery_ep005_009 - Rows: 3,000; episode TAG values:
0through4 - Time precision: milliseconds
Time = round(timestamp * 1000) and restarts at zero for each episode. The redundant source timestamp is omitted because it equals Time / 1000 seconds. Source index is named sample_index, and frame_index is retained.
| Role | Columns |
|---|---|
| TIME | Time |
| TAG | episode_index, task_index |
| INT64 FIELD | frame_index, sample_index |
| BOOLEAN FIELD | next_done |
| FLOAT FIELD | action_0 ... action_13 |
| FLOAT FIELD | observation_state_0 ... observation_state_13 |
The 14-element action and observation.state vectors are flattened to scalar FLOAT fields. No rows or numeric action/state dimensions are omitted.
Videos
The four original AV1 streams are available in the source videos/ tree:
videos/observation.images.cam_high/chunk-000/file-000.mp4videos/observation.images.cam_left_wrist/chunk-000/file-000.mp4videos/observation.images.cam_low/chunk-000/file-000.mp4videos/observation.images.cam_right_wrist/chunk-000/file-000.mp4
Videos are not included here. Rows stay aligned with the original frames through episode_index and frame_index.
Read example
from tsfile import TsFileReader
reader = TsFileReader("data/macrodata_aloha_static_battery_ep005_009.tsfile")
with reader.query_table(
"macrodata_aloha_static_battery_ep005_009",
["episode_index", "task_index", "frame_index", "next_done", "action_0"],
batch_size=4096,
) as result:
print(result.read_arrow_batch().to_pandas().head())
reader.close()
Please cite the original Hugging Face dataset and its repository owners/contributors when reusing the data.
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