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.
Fix Blue Handle Right TsFile
Apache TsFile conversion of allday-technology/fix-blue-handle-right, a LeRobot v2.1 trossen_ai_stationary robot dataset.
Source and provenance
- Original dataset: https://huggingface.co/datasets/allday-technology/fix-blue-handle-right
- Inspected revision:
765b418463b07dc6a0bed0edcfacb41664763861 - Original author/uploader: Allday Technology (
allday-technology) - License: Apache-2.0; split:
train(0:81) - Sampling rate: 30 fps; 81 episodes; 14,320 frame rows; 2 tasks; 81 Parquet shards
- Source frame layout:
data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet - Source video layout:
videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4
The source README embeds an older 20-episode meta/info.json; the meta/info.json at the pinned revision (81 episodes, 14,320 frames, 2 tasks, 324 videos) is authoritative. The source card provides no paper or BibTeX citation.
TsFile schema and conversion
Time = round(timestamp * 1000) as INT64 milliseconds, restarting at zero per episode. The source timestamp is dropped as redundant (Time / 1000 seconds). index is renamed to sample_index; frame_index is retained.
TAG/device columns: episode_index, task_index.
FIELD columns: action[14] -> action_0 ... action_13; observation.state[14] -> observation_state_0 ... observation_state_13 (all FLOAT), plus frame_index and sample_index (INT64). The 14 values preserve the source order: seven left-arm joints, seven right-arm joints. No rows or numeric state/action dimensions are dropped.
Task index mapping (from meta/tasks.jsonl):
| task_index | task | episodes |
|---|---|---|
0 |
fix the angle of blue handle |
51 |
1 |
Use right arm to fix the angle of measuring cup handle |
30 |
Storage profile: Time TS_2DIFF + LZ4; FLOAT/DOUBLE GORILLA + LZ4; INT32/INT64 TS_2DIFF + LZ4; BOOLEAN RLE + LZ4 (no BOOLEAN source columns); TAGs use TsFile table-model device/tag storage.
Videos (not included)
The source contains 324 MP4 files (81 per stream, 473,858,640 bytes total) under videos/: videos/chunk-000/{observation.images.cam_high,observation.images.cam_low,observation.images.cam_left_wrist,observation.images.cam_right_wrist}/episode_XXXXXX.mp4.
| stream | files | bytes |
|---|---|---|
observation.images.cam_high |
81 | 160,688,924 |
observation.images.cam_low |
81 | 136,186,412 |
observation.images.cam_left_wrist |
81 | 101,027,154 |
observation.images.cam_right_wrist |
81 | 75,956,150 |
Videos are not copied to or uploaded with this TsFile repository. Numeric rows remain frame-aligned via episode_index and frame_index.
Minimal read example
from tsfile import TsFileReader
reader = TsFileReader("data/allday_technology_fix_blue_handle_right.tsfile")
with reader.query_table("allday_technology_fix_blue_handle_right", ["episode_index", "task_index", "Time", "frame_index", "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 Allday Technology (allday-technology). The source card does not provide a paper or completed BibTeX citation.
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