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.
ZBot Pick Cube35 TsFile
This is an Apache TsFile conversion of leolin6/zbot_pick_cube35, a LeRobot v2.1 ZBot Inspire teleoperation dataset.
Source Dataset and Author
- Original dataset: leolin6/zbot_pick_cube35
- Pinned revision: 7e9b39936d42ac1bba9201f960a02e6651325df9
- Creator and uploader: Leo Lin (leolin6)
- License: Apache-2.0
- Task: ZBot teleoperation recording for cube-picking demonstrations
- Robot: zbot_inspire; LeRobot: v2.1
- Split and rate: train episodes 0:35 at 30 fps
- Scale: 35 episodes, 20,644 rows, 1 task, 35 Parquet shards
- Source data layout: data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet
- Paper, homepage, and completed citation: not provided by the source card
Converted File
- TsFile: data/leolin6_zbot_pick_cube35_train.tsfile
- Table: leolin6_zbot_pick_cube35_train
- Rows/devices: 20,644 / 35
- Time precision: milliseconds
- Size: 1,811,413 bytes
- Source meta is preserved; meta/info.json documents the conversion
Schema
Time is INT64 milliseconds computed as round(timestamp * 1000) and restarts within each episode.
| Role | Columns | Meaning |
|---|---|---|
| TIME | Time | INT64 milliseconds |
| TAG | episode_index, task_index | TsFile table device dimensions |
| FIELD | frame_index, sample_index | INT64 indexes |
| FIELD | action_0 through action_15 | 16 flattened FLOAT actions |
| FIELD | observation_state_0 through observation_state_25 | 26 flattened FLOAT states |
The table has 47 columns: 1 TIME, 2 TAG, and 44 FIELD columns.
Conversion
- All 35 episode Parquet files are merged into one train TsFile.
- Source episode_index and task_index are TsFile TAG columns.
- action[16] and observation.state[26] are flattened; dots become underscores.
- Source index becomes sample_index and frame_index is unchanged.
- timestamp is dropped after Time synthesis because timestamp = Time / 1000.
- No numeric rows, episodes, tasks, action values, or state values are dropped.
Encoding and Compression
- Time: TS_2DIFF + LZ4
- FLOAT/DOUBLE: GORILLA + ZSTD
- INT32/INT64: TS_2DIFF + ZSTD
- BOOLEAN: RLE + LZ4 (none are present)
- TAG: TsFile table device/TAG storage
Validated TsFile/source-Parquet ratio: 0.8635.
Videos
Videos are not included. The original repository contains 35 frame-aligned MP4 files in videos/chunk-000/observation.images.front/, named episode_000000.mp4 through episode_000034.mp4. The source template is videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4. Alignment is preserved by episode_index, frame_index, and source episode metadata.
Validation
Apache TsFile Java 2.2.1 readback returned all 20,644 rows. TAG roles, monotonic Time, vector widths, encodings, compression, and row counts were checked locally. Scripts and reports are excluded from upload files.
Minimal Read Example
from tsfile import TsFileReader
reader = TsFileReader("data/leolin6_zbot_pick_cube35_train.tsfile")
table_name = "leolin6_zbot_pick_cube35_train"
with reader.query_table(
table_name,
["episode_index", "task_index", "frame_index", "action_0"],
batch_size=65536,
) as result:
print(result.read_arrow_batch().to_pandas().head())
Citation
The source card has no completed citation. Cite the original dataset and Leo Lin.
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