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.
SO100 Test-04 TsFile
This Apache TsFile dataset contains the numeric trajectories from
easonjcc/so100_test-04, a LeRobot v2.1 SO100 dataset for
the task "Grasp a lego block and put it in the bin."
Source Dataset
- Author, repository owner, uploader, and latest commit author:
easonjcc - License: Apache-2.0
- Robot:
so100; LeRobot codebase version:v2.1 - Split:
train; sampling rate: 30 fps - Numeric data: 30 episode Parquet shards, 19,608 rows, 643 to 661 rows per episode
- Task index
0: "Grasp a lego block and put it in the bin." - Source frame layout:
data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet - Source video layout:
videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4 - The source card provides no homepage, paper, or completed citation
TsFile Data
- File:
data/easonjcc_so100_test_04_train.tsfile - Table:
easonjcc_so100_test_04_train - Rows/devices: 19,608 rows across 30 episode/task TAG combinations
- Size: 0.29 MiB
- Time:
round(timestamp * 1000)milliseconds, starting at 0 in every episode and ranging from 0 to 22,000 ms - The 30 source Parquet shards are merged into this single train TsFile
| Source | TsFile columns | Role | Type |
|---|---|---|---|
timestamp |
Time |
TIME | INT64 milliseconds |
episode_index |
episode_index |
TAG | STRING device segment |
task_index |
task_index |
TAG | STRING device segment |
frame_index |
frame_index |
FIELD | INT64 |
index |
sample_index |
FIELD | INT64 |
action[6] |
action_0 ... action_5 |
FIELD | FLOAT |
observation.state[6] |
observation_state_0 ... observation_state_5 |
FIELD | FLOAT |
Vector names retain the source prefix with . replaced by _. The six action
and state dimensions are, in order, main_shoulder_pan, main_shoulder_lift,
main_elbow_flex, main_wrist_flex, main_wrist_roll, and main_gripper.
The source timestamp field is omitted after Time synthesis because it equals
Time / 1000. Every numeric row and every other numeric dimension is retained.
Videos
Videos are not included here. All 90 source MP4 files remain under the original
videos/ tree, totaling 642,241,112 bytes:
observation.images.c1: 30 files, 201,127,816 bytesobservation.images.c2: 30 files, 247,493,168 bytesobservation.images.c3: 30 files, 193,620,128 bytes
The numeric rows align to each episode video through episode_index and
frame_index.
Read Example
from tsfile import TsFileReader
reader = TsFileReader("data/easonjcc_so100_test_04_train.tsfile")
columns = ["episode_index", "task_index", "frame_index", "action_0", "observation_state_0"]
with reader.query_table("easonjcc_so100_test_04_train", columns, batch_size=65536) as result:
print(result.read_arrow_batch().to_pandas().head())
reader.close()
Attribution
The source repository and its current commits identify easonjcc as the
publisher. Cite the original dataset and its owner when using
this TsFile dataset.
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