Datasets:
Dataset Viewer
The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
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.
release5_i_top SAM EVT2 (TsFile)
Apache TsFile version of
1g0rrr/release5_i_top,
a LeRobot v2.1 robot trajectory dataset. Its recorded task is "Insert connector into the pcb."
Overview
- Robot type:
sam_evt2 - Sampling rate: 30 fps
- Split: train, episodes
0:50 - Scale: 50 episodes and 65,700 frames / TsFile rows
- Task: Insert connector into the pcb
- Video coverage upstream: 200 source videos across front, side, left-wrist, and right-wrist camera streams
- Converted artifact: one 6,011,523-byte TsFile
Schema (TsFile structure)
- Time (INT64, milliseconds) -
Time = round(timestamp * 1000)and restarts within each episode. - episode_index, task_index (TAG) - original LeRobot identifiers; query
one trajectory with
WHERE episode_index = 0. - frame_index, sample_index (FIELD, INT64) - source frame position and
source
indexrenamed tosample_index. - action_0..13 (FIELD, FLOAT) - the 14-dimensional bimanual robot action.
- observation_state_0..13 (FIELD, FLOAT) - the 14-dimensional bimanual robot state.
All 50 source Parquet files are merged into data/release5_i_top_train.tsfile.
The redundant source timestamp column is omitted after conversion to Time;
no numeric trajectory rows or vector elements are dropped. The four camera
streams are not uploaded here. The 200 MP4 files remain in the
original dataset videos tree.
Usage
Read the .tsfile file with the Apache TsFile Python SDK:
from tsfile import TsFileReader
path = "data/release5_i_top_train.tsfile"
table = "release5_i_top_train"
reader = TsFileReader(path)
with reader.query_table(
table,
["episode_index", "task_index", "frame_index", "action_0", "observation_state_0"],
batch_size=1024,
) as result:
batch = result.read_arrow_batch()
if batch is not None:
print(batch.to_pandas().head())
Source & license
- Original dataset: https://huggingface.co/datasets/1g0rrr/release5_i_top
- Author / publisher: 1g0rrr
- License: Apache-2.0
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