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.
DrawTriangle v1 TsFile
Apache TsFile representation of brandonyang/DrawTriangle-v1, a LeRobot v2.1 robotics dataset.
Source
- Author and publisher: Brandon Yang (
brandonyang) - License: Apache-2.0
- Task: Draw a triangle on the canvas using the robot's end-effector.
- Split:
train(0:1000) - Sampling rate: 20 fps
- Episodes: 1,000; frame rows: 230,792; tasks: 1; source Parquet shards: 1,000
- Source frame layout:
data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet
The source card does not provide a paper or completed BibTeX citation.
TsFile layout
The numeric rows are stored in data/brandonyang_drawtriangle_v1.tsfile as table brandonyang_drawtriangle_v1. Source metadata is retained under meta/; source Parquet files are not placed there.
Time = round(timestamp * 1000) is an INT64 millisecond timeline that restarts at zero for each episode. The source timestamp is dropped because it equals Time / 1000 seconds. index is renamed to sample_index, and frame_index is preserved.
| Role | Columns |
|---|---|
| TIME | Time (INT64, milliseconds) |
| TAG/device | episode_index, task_index |
| FIELD | frame_index, sample_index (INT64) |
| FIELD | action[6] -> action_0 ... action_5 (FLOAT) |
| FIELD | observation.state[7] -> observation_state_0 ... observation_state_6 (FLOAT) |
No numeric rows, action dimensions, or state dimensions are dropped.
Videos
The original repository contains 1,000 AV1 MP4 files for observation.images.base_camera under videos/chunk-000/observation.images.base_camera/:
videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4
Videos are not included in this TsFile dataset. Numeric rows remain aligned with the original videos through episode_index and frame_index.
Read example
from tsfile import TsFileReader
reader = TsFileReader("data/brandonyang_drawtriangle_v1.tsfile")
columns = ["episode_index", "task_index", "frame_index", "sample_index", "action_0", "observation_state_0"]
with reader.query_table("brandonyang_drawtriangle_v1", columns, batch_size=4096) as result:
print(result.read_arrow_batch().to_pandas().head())
reader.close()
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