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 Test Trimmed TsFile
This Apache TsFile dataset converts the numeric trajectories from
arulloomba/so100_test_trimmed, a LeRobot v2.1 SO100 dataset
for the task "Grasp a block and put it in the bin."
Source Dataset
- Repository owner and uploader:
arulloomba - License: Apache-2.0
- Robot:
so100; LeRobot codebase version:v2.1 - Split:
train; sampling rate: 30 fps - Numeric data: 50 episode Parquet files, 600 rows each, 30,000 rows total
- Task count: 1; task index
0: "Grasp a 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 - Paper/citation: the source card supplies neither a paper nor a completed citation
The source meta/info.json and meta/episodes.jsonl retain pre-trim counters
totaling 37,316 frames. The actual Parquet snapshot contains 30,000 rows, so
the TsFile and converted meta/info.json use the actual Parquet row count.
TsFile Data
- File:
data/arulloomba_so100_test_trimmed_train.tsfile - Table:
arulloomba_so100_test_trimmed_train - Rows/devices: 30,000 rows across 50 episode/task TAG combinations
- Size: 0.29 MiB
- Time:
round(timestamp * 1000)milliseconds, ranging from 0 to 19,967 ms in each episode
Schema roles:
| 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.
Encoding uses GORILLA + LZ4 for FLOAT/DOUBLE, TS_2DIFF + LZ4 for INT32/INT64
and Time, and RLE + LZ4 for BOOLEAN fields. The dataset has no BOOLEAN field.
episode_index and task_index use the TsFile table-model TAG/device mechanism.
Videos
Videos are not included here. They remain in the source repository as 100 MP4 files totaling 354,247,499 bytes, split into two 50-file camera streams:
The upstream spelling detatched_arm is preserved. The numeric rows align to
the first 600 frames of each episode video through episode_index and
frame_index.
Read Example
from tsfile import TsFileReader
reader = TsFileReader("data/arulloomba_so100_test_trimmed_train.tsfile")
columns = ["episode_index", "task_index", "frame_index", "action_0", "observation_state_0"]
with reader.query_table("arulloomba_so100_test_trimmed_train", columns, batch_size=65536) as result:
print(result.read_arrow_batch().to_pandas().head())
reader.close()
Attribution
The source card identifies the Hugging Face repository owner/uploader as
arulloomba and provides no separate formal author, paper, or citation. Cite
the original dataset and its owner when using this conversion.
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