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.
SO101 Cup Blue Circle 1 Task TsFile
This repository contains an Apache TsFile representation of nevertmr/so101_cup_bluecircle_1task, a LeRobot v3.0 SO-101 dataset for the task pick up the cup near the blue circle and place the cup to the blue circle.
Source and Attribution
- Original dataset: nevertmr/so101_cup_bluecircle_1task
- Original repository creator and uploader: nevertmr
- License: Apache-2.0
- Robot type:
so_follower - LeRobot codebase version:
v3.0 - Split:
train - Sampling rate: 30 fps
- Scale: 50 episodes, 19,138 rows, 1 task, 1 source Parquet shard
- Source data layout:
data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet - Source video layout:
videos/{video_key}/chunk-{chunk_index:03d}/file-{file_index:03d}.mp4
The source card identifies no separate paper or citation. Cite the original dataset and nevertmr.
TsFile Contents
- File:
data/nevertmr_so101_cup_bluecircle_1task.tsfile - Table:
nevertmr_so101_cup_bluecircle_1task - Rows: 19,138
- Episode/task devices: 50
- Time precision: milliseconds
- TsFile size: 378,742 bytes
Schema
Time is computed as round(timestamp * 1000) and restarts at zero within each episode.
| Columns | TsFile role | Type |
|---|---|---|
Time |
TIME | INT64/TIMESTAMP |
episode_index, task_index |
TAG/device | STRING (source INT64 preserved in metadata) |
frame_index, sample_index |
FIELD | INT64 |
action_0 ... action_5 |
FIELD | FLOAT |
observation_state_0 ... observation_state_5 |
FIELD | FLOAT |
The source action[6] and observation.state[6] vectors are flattened while preserving their prefixes. The source index is renamed to sample_index. The source timestamp is omitted after Time synthesis because it is represented by Time / 1000. No numeric rows are discarded.
Storage
- FLOAT/DOUBLE: GORILLA + LZ4
- INT32/INT64: TS_2DIFF + LZ4
- Time: TS_2DIFF + LZ4
- BOOLEAN: RLE + LZ4 when present
episode_indexandtask_index: TsFile table-model TAG/device mechanism
Videos and Card Media
Videos are not duplicated in this repository. The original dataset stores frame-aligned streams under:
The source repository currently contains three MP4 container files across these streams. Numeric rows align to the source videos through episode_index and frame_index.
The source dataset card also contains preview_topview.gif, placement_map.png, and placement_grid.png, plus the full collection video. These media files are not included here.
Read Example
from tsfile import TsFileReader
reader = TsFileReader("data/nevertmr_so101_cup_bluecircle_1task.tsfile")
columns = [
"episode_index",
"task_index",
"frame_index",
"sample_index",
"action_0",
"observation_state_0",
]
with reader.query_table(
"nevertmr_so101_cup_bluecircle_1task",
columns,
batch_size=65536,
) as result:
print(result.read_arrow_batch().to_pandas().head())
reader.close()
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