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 66, 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.
Record Test TsFile
This dataset is a TsFile conversion of the Hugging Face dataset
sattgle/record-test,
which was created using LeRobot.
Modalities: Time-series. The original repository also contains front and rear camera video streams. Videos are not included in this repository and remain available at the source.
Source Dataset
- Original dataset:
sattgle/record-test - License: Apache-2.0
- Task category: robotics
- Robot type:
so101_follower - Task:
clean - LeRobot codebase version:
v2.1 - Sampling rate: 30 fps
- Original video features:
observation.images.frontandobservation.images.rear(640 x 360 RGB, AV1, 30 fps)
The source dataset card does not provide a paper, homepage, or detailed task protocol beyond the LeRobot provenance and task metadata above.
Source Consistency Note
The source repository contains inconsistent trailing files. Its
meta/info.json declares 43 episodes and 45,113 frames, while the repository
tree contains 50 frame Parquet files. Direct inspection found that files 41 and
42 were overwritten with embedded episode indexes 0 and 1, and files 43-49 are
outside meta/episodes.jsonl and also duplicate earlier episode indexes.
This conversion therefore uses the contiguous, internally consistent files
episode_000000.parquet through episode_000040.parquet: 41 episodes and
44,533 frames. The adjusted upload metadata and meta/info.json document the
excluded files. The corresponding aligned source subset has 82 videos; all
source videos remain upstream.
Converted Files
- TsFile:
data/record_test.tsfile - Rows: 44,533
- Episodes: 41 (
0:41) - Tasks: 1 (
task_index = 0) - Table name:
record_test - Time precision: milliseconds
- Metadata:
meta/is based on the source metadata and filtered to the validated episode range;meta/info.jsonrecords the TsFile mapping and source-repository anomalies.
Schema
| Column | Role | Type | Notes |
|---|---|---|---|
Time |
TIME | INT64 | round(timestamp * 1000), in milliseconds; restarts per episode |
episode_index |
TAG | INT64 | Source episode identifier |
task_index |
TAG | INT64 | Source task identifier |
frame_index |
FIELD | INT64 | Source frame index, preserved |
sample_index |
FIELD | INT64 | Renamed from source index |
action_0 ... action_5 |
FIELD | FLOAT | Flattened from action[6] |
observation_state_0 ... observation_state_5 |
FIELD | FLOAT | Flattened from observation.state[6] |
The action and observation-state element order is:
shoulder_pan.pos, shoulder_lift.pos, elbow_flex.pos, wrist_flex.pos,
wrist_roll.pos, and gripper.pos.
episode_index and task_index are TAG columns, so an individual episode can
be selected by filtering on episode_index.
Conversion Notes
- The 41 validated LeRobot frame Parquet files were merged into one TsFile.
- Vector columns were flattened by preserving the source column name, replacing
.with_, and appending the element index. - The source
timestampcolumn is dropped because it is redundant withTime / 1000seconds. - The source
indexcolumn is renamed tosample_index. - Front and rear videos are omitted from the converted schema and are not uploaded here. Use the original dataset videos: https://huggingface.co/datasets/sattgle/record-test/tree/main/videos
Read Example
from tsfile import TsFileReader
path = "data/record_test.tsfile"
table = "record_test"
with TsFileReader(path) as reader:
columns = [
"episode_index",
"task_index",
"frame_index",
"sample_index",
"action_0",
"observation_state_0",
]
with reader.query_table(table, columns, batch_size=4096) as result:
batch = result.read_arrow_batch()
print(batch)
Citation
The original dataset card does not provide a BibTeX citation.
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