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.
Unitree H1 Warehouse TsFile
Apache TsFile form of lerobot/unitreeh1_warehouse, a LeRobot
robotics dataset containing Unitree H1 warehouse demonstrations.
Source and Attribution
- Original repository:
lerobot/unitreeh1_warehouse - Publishing organization:
LeRobot - Repository history: initially created by
cadene, with later maintenance byalibertsandaractingi - Formal data-collection authors: not specified by the original dataset card
- License: Apache-2.0
- Paper/citation: the original dataset card does not provide one
- Robot type:
unknownin the source metadata; the repository name identifies Unitree H1 - Task: "Grab the spray paint on the shelf and place it in the bin on top of the robot dog."
- Split: train, episodes 0 through 23
- Scale: 24 episodes, 11,275 rows, one task, one source frame Parquet shard, 50 fps
Data and Videos
- TsFile path:
data/lerobot_unitreeh1_warehouse.tsfile - Table:
lerobot_unitreeh1_warehouse - Source frame 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 - Original videos:
videos/ - Left camera:
videos/observation.images.cam_left/chunk-000/file-000.mp4 - Right camera:
videos/observation.images.cam_right/chunk-000/file-000.mp4 - Video inventory: two MP4 container files (244,916,943 bytes), with 24 episode-aligned segments in each stream
Videos are not included in this TsFile repository. Use episode_index and
frame_index together with the source meta/episodes offsets to align numeric
rows with both camera streams in the original Hugging Face repository.
Schema
| Column | TsFile role | Type | Description |
|---|---|---|---|
Time |
TIME | INT64 | round(timestamp * 1000) milliseconds; restarts at 0 per episode |
episode_index |
TAG | STRING/device segment | Original episode index |
task_index |
TAG | STRING/device segment | Original task index; only task 0 is present |
frame_index |
FIELD | INT64 | Frame number within the episode |
sample_index |
FIELD | INT64 | Source index, renamed to avoid ambiguity |
next_done |
FIELD | BOOLEAN | Source next.done terminal marker |
observation_state_0 ... observation_state_18 |
FIELD | FLOAT | Flattened observation.state[19] |
action_0 ... action_39 |
FIELD | FLOAT | Flattened action[40] |
Conversion
- The single source frame Parquet shard is written as one TsFile table.
- Rows are sorted by
episode_index,task_index, thenTime. episode_indexandtask_indexuse the TsFile table-model TAG/device mechanism.- Vector names retain their source prefixes with dots replaced by underscores.
- Source
timestampis dropped after Time synthesis because it is exactly represented byTime / 1000seconds. - Source
indexis retained assample_index, andnext.doneis retained asnext_done. - The two video features are omitted from TsFile because their payloads live in separate MP4 files, not in the frame Parquet shard.
- No numeric frame rows, state dimensions, action dimensions, episodes, or tasks are dropped.
- Only JSON metadata is included under
meta/; source Parquet metadata files remain in the original repository and are not copied.
Read Example
from tsfile import TsFileReader
path = "data/lerobot_unitreeh1_warehouse.tsfile"
table_name = "lerobot_unitreeh1_warehouse"
reader = TsFileReader(path)
with reader.query_table(
table_name,
["episode_index", "task_index", "Time", "frame_index", "action_0"],
batch_size=4096,
) as result:
batch = result.read_arrow_batch()
reader.close()
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