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.
Place Orange Duck Pruned 3nd TsFile
Apache TsFile conversion of KuphDev/place_orange_duck_pruned_3nd, a LeRobot v3.0 SO follower dataset. The Hugging Face repository owner and uploader is KuphDev; the source card does not provide a separate author or paper citation. License: Apache-2.0.
Source
- Task: Place orange duck on target
- Split: train
- Sampling rate: 30 fps
- 197 episodes, 155,197 frame rows, 1 task
- 36 source Parquet shards under data/chunk-000/
- Source videos: 36 top-camera MP4 files under videos/observation.images.top/. Videos are not included in this TsFile dataset.
TsFile
- File: data/kuphdev_place_orange_duck_pruned_3nd_train.tsfile
- Table: kuphdev_place_orange_duck_pruned_3nd_train
- Rows: 155,197
- meta/ retains source episode, statistics, and task metadata; source Parquet files are not copied into meta/.
Schema and conversion
Time is round(timestamp * 1000) in INT64 milliseconds and restarts at zero per episode. The source timestamp field is dropped because it is equivalent to Time / 1000; index is renamed to sample_index; frame_index is preserved.
TAG/device columns: episode_index, task_index. FIELD columns: frame_index, sample_index, action_0 through action_5, and observation_state_0 through observation_state_5. The two six-element FLOAT vectors are flattened while preserving source names (observation.state becomes observation_state).
Storage profile: FLOAT/DOUBLE use GORILLA + LZ4; INT32/INT64 and Time use TS_2DIFF + LZ4; BOOLEAN uses RLE + LZ4; TAGs use TsFile table-model device/tag storage.
Minimal read example
from tsfile import TsFileReader
reader = TsFileReader("data/kuphdev_place_orange_duck_pruned_3nd_train.tsfile")
with reader.query_table("kuphdev_place_orange_duck_pruned_3nd_train", ["episode_index", "task_index", "Time", "frame_index", "action_0"], batch_size=4096) as result:
print(result.read_arrow_batch().to_pandas().head())
reader.close()
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