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 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.
Cucumber Place Classifier Eval 071526 V1 Trim (TsFile)
Converted from VibeCuisine/cucumber-place-classifier-eval071526-v1-trim at pinned revision 7d5263f94f0eebe626bfe280173087cc4a186807. Modalities: Time-series.
Dataset description
This LeRobot v3.0 vibeboard_follower_tilt evaluation collection records cucumber-placement trajectories with robot state, actions, and four auxiliary board signals.
The source task is: “place the cucumber on the middle of the cutting board, aligned vertically in the image, with the back end of the cucumber under the blue gripper”.
- Source repository owner/publisher: VibeCuisine
- License: apache-2.0 (declared by the source card).
- Paper/homepage/citation: no completed paper, homepage, or citation is documented in the pinned source card unless linked above.
Dataset Scale
| Split | Episodes | Tasks | Source trajectory Parquets | TsFile rows | Sampling rate | TsFile files/shards |
|---|---|---|---|---|---|---|
train |
74 | 1 | 1 | 2,908 | 20 Hz | 1 |
The staged Parquet has 2,908 rows and 23 columns including Time; TsFile chunk metadata independently reports the same 2,908 rows.
TsFile schema
| Column | Role | TsFile type | Observed/source range |
|---|---|---|---|
Time |
TIME | INT64 | 0–3,250 ms; restarts per episode |
episode_index |
TAG | STRING | source integer 0–73 |
task_index |
TAG | STRING | source integer 0–0 |
frame_index |
FIELD | INT64 | 0–65 within an episode |
sample_index |
FIELD | INT64 | 0–2,907 globally |
Exact remaining FIELD names/ranges and imported types:
action_0–action_6,observation_state_0–observation_state_6(FLOAT): six SO-style joints plus tiltaux_elevator_mm,aux_spinner_active,aux_limit_home,aux_limit_gripper(FLOAT)
Conversion
- All source episodes in the train split are merged into
data/cucumber_place_classifier_eval071526_v1_trim_train.tsfile;episode_indexandtask_indexare TAG dimensions. Time = round(timestamp * 1000)in milliseconds. The sourcetimestampcolumn is omitted because it is redundant withTime / 1000seconds.frame_indexis retained. Sourceindexis retained assample_index.- Every vector is fully flattened: the complete source name is kept,
.becomes_, and element indices are appended. Float vectors are imported as single-precision FLOAT fields. - Other scalar source columns shown above are retained; no trajectory rows are intentionally dropped.
- Source metadata is mirrored for publication, with copied
meta/info.jsonrewritten to describe the converted data path and conversion semantics.
Video policy
The source declares top, wrist, and base video features but no total_videos counter. MP4 files were not downloaded or uploaded; they remain in the pinned source videos/ tree.
Minimal read example
from tsfile import TsFileReader
reader = TsFileReader("data/cucumber_place_classifier_eval071526_v1_trim_train.tsfile")
print(reader.get_all_table_schemas().keys())
reader.close()
Source and provenance
- Source dataset:
VibeCuisine/cucumber-place-classifier-eval071526-v1-trim - Pinned source revision:
7d5263f94f0eebe626bfe280173087cc4a186807 - Converted artifact:
data/cucumber_place_classifier_eval071526_v1_trim_train.tsfile
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