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.
YZW SO100 Stack Cube V4 (TsFile)
Converted from DorayakiLin/yzw_so100_stack_cube_v4 at pinned revision da7c2ecf66ab30bff1ee455a83efc83b37a7781c. Modalities: Time-series.
Dataset description
This LeRobot v2.1 SO100 dataset records demonstrations of picking up a red cube and stacking it on a green cube.
The pinned task instruction is: “Pick up the red cube and stack it on the green cube.”
- Source repository owner/publisher: DorayakiLin
- 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.
Source metadata note: The source README embeds an older 20-episode/9,692-frame snapshot. Counts here use the pinned
meta/info.json, 200 source episode Parquets, staged rows, and TsFile metadata.
Dataset Scale
| Split | Episodes | Tasks | Source trajectory Parquets | TsFile rows | Sampling rate | TsFile files/shards |
|---|---|---|---|---|---|---|
train |
200 | 1 | 200 | 95,833 | 30 Hz | 1 |
The staged Parquet has 95,833 rows and 17 columns including Time; TsFile chunk metadata independently reports the same 95,833 rows.
TsFile schema
| Column | Role | TsFile type | Observed/source range |
|---|---|---|---|
Time |
TIME | INT64 | 0–20,333 ms; restarts per episode |
episode_index |
TAG | STRING | source integer 0–199 |
task_index |
TAG | STRING | source integer 0–0 |
frame_index |
FIELD | INT64 | 0–610 within an episode |
sample_index |
FIELD | INT64 | 0–95,832 globally |
Exact remaining FIELD names/ranges and imported types:
action_0–action_5(FLOAT): main shoulder pan/lift, elbow flex, wrist flex/roll, and gripper actionobservation_state_0–observation_state_5(FLOAT): the corresponding SO100 state
Conversion
- All source episodes in the train split are merged into
data/yzw_so100_stack_cube_v4_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 pinned metadata declares 600 source videos across wrist, top, and third camera streams. 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/yzw_so100_stack_cube_v4_train.tsfile")
print(reader.get_all_table_schemas().keys())
reader.close()
Source and provenance
- Source dataset:
DorayakiLin/yzw_so100_stack_cube_v4 - Pinned source revision:
da7c2ecf66ab30bff1ee455a83efc83b37a7781c - Converted artifact:
data/yzw_so100_stack_cube_v4_train.tsfile
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