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.
SO100 413 TsFile
This dataset is an Apache TsFile representation of
Jiangeng/so100_413,
a LeRobot v2.1 SO-100 dataset for the task "Pick the cube."
The numeric trajectories, episode and task identifiers, frame timing, and source metadata are included. Camera videos remain in the original Hugging Face repository.
Source Dataset
- Source:
Jiangeng/so100_413 - Author and publisher:
Jiangeng, the repository owner and sole listed contributor - License: Apache-2.0
- Robot: SO-100
- LeRobot codebase version: v2.1
- Task:
Pick the cube - Split: train, episodes 0 through 49
- Scale: 50 episodes, 17,851 frames, 1 task, 30 fps
- Source layout: 50 Parquet episode shards in
data/chunk-000/ - Source numeric size: 1,114,470 bytes
- TsFile table:
jiangeng_so100_413 - TsFile rows: 17,851
The original card does not identify a separate personal author name, paper, homepage, or complete citation. Attribution therefore follows the facts published by the source repository.
Schema
| Column | TsFile role | Type | Source |
|---|---|---|---|
Time |
TIME | millisecond timestamp | round(timestamp * 1000) |
episode_index |
TAG | string device segment | source scalar |
task_index |
TAG | string device segment | source scalar |
frame_index |
FIELD | INT64 | source scalar |
sample_index |
FIELD | INT64 | source index |
action_0 ... action_5 |
FIELD | FLOAT | flattened action[6] |
observation_state_0 ... observation_state_5 |
FIELD | FLOAT | flattened observation.state[6] |
The six action and state dimensions are, in source order:
left_shoulder_pan, left_shoulder_lift, left_elbow_flex,
left_wrist_flex, left_wrist_roll, and left_gripper.
Time And Episode Mapping
Time is round(timestamp * 1000) in milliseconds. It restarts at zero for
each episode and remains monotonic within each (episode_index, task_index)
device. The original timestamp field is not repeated because it equals
Time / 1000 seconds. frame_index is retained, and source index is renamed
to sample_index.
All 50 source episode shards are merged into one table-model TsFile. No numeric rows, episodes, tasks, action dimensions, or state dimensions are omitted.
Videos
The source contains 100 AV1 MP4 files at 30 fps, split across two camera streams with 50 episode files each:
Videos are not included here. Use episode_index and frame_index to align
numeric rows with the corresponding source video frames.
Usage
from tsfile import ColumnCategory, TsFileReader
path = "data/jiangeng_so100_413.tsfile"
reader = TsFileReader(path)
table_name = "jiangeng_so100_413"
schema = reader.get_all_table_schemas()[table_name]
columns = [
column.get_column_name()
for column in schema.get_columns()
if column.get_category() in (ColumnCategory.FIELD, ColumnCategory.TAG)
]
with reader.query_table(table_name, columns, batch_size=65536) as result:
first_batch = result.read_arrow_batch()
Citation
The source repository does not provide a complete BibTeX citation. Please cite the original dataset URL and credit Jiangeng when using this data.
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