Datasets:
Dataset Viewer
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
codebase_version: string
robot_type: string
total_episodes: int64
total_frames: int64
total_tasks: int64
total_videos: int64
total_chunks: int64
chunks_size: int64
fps: int64
splits: struct<train: string>
child 0, train: string
data_path: string
video_path: string
features: struct<Time: struct<dtype: string, role: string, shape: list<item: int64>>, episode_index: struct<dt (... 1223 chars omitted)
child 0, Time: struct<dtype: string, role: string, shape: list<item: int64>>
child 0, dtype: string
child 1, role: string
child 2, shape: list<item: int64>
child 0, item: int64
child 1, episode_index: struct<dtype: string, role: string, shape: list<item: int64>>
child 0, dtype: string
child 1, role: string
child 2, shape: list<item: int64>
child 0, item: int64
child 2, task_index: struct<dtype: string, role: string, shape: list<item: int64>>
child 0, dtype: string
child 1, role: string
child 2, shape: list<item: int64>
child 0, item: int64
child 3, frame_index: struct<dtype: string, role: string, shape: list<item: int64>>
child 0, dtype: string
child 1, role: string
child 2, shape: list<item: int64>
child 0, item: int64
child 4, sample_index: struct<dtype: string, role: string, shape: list<item: int64>>
child 0, dtype: string
child 1, role: string
child 2, shape: list<item: int64>
child 0, item: int64
child 5, action_0: struct<dtyp
...
child 2, video.width: int64
child 3, video.channels: int64
child 4, video.codec: string
child 5, video.pix_fmt: string
child 6, video.is_depth_map: bool
child 7, has_audio: bool
child 4, timestamp: struct<dtype: string, shape: list<item: int64>, names: null>
child 0, dtype: string
child 1, shape: list<item: int64>
child 0, item: int64
child 2, names: null
child 5, frame_index: struct<dtype: string, shape: list<item: int64>, names: null>
child 0, dtype: string
child 1, shape: list<item: int64>
child 0, item: int64
child 2, names: null
child 6, episode_index: struct<dtype: string, shape: list<item: int64>, names: null>
child 0, dtype: string
child 1, shape: list<item: int64>
child 0, item: int64
child 2, names: null
child 7, index: struct<dtype: string, shape: list<item: int64>, names: null>
child 0, dtype: string
child 1, shape: list<item: int64>
child 0, item: int64
child 2, names: null
child 8, task_index: struct<dtype: string, shape: list<item: int64>, names: null>
child 0, dtype: string
child 1, shape: list<item: int64>
child 0, item: int64
child 2, names: null
length: int64
tasks: list<item: string>
child 0, item: string
episode_index: int64
to
{'episode_index': Value('int64'), 'tasks': List(Value('string')), 'length': Value('int64')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
return get_rows(
^^^^^^^^^
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/utils.py", line 478, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2815, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2352, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2377, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 310, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 130, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2369, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
codebase_version: string
robot_type: string
total_episodes: int64
total_frames: int64
total_tasks: int64
total_videos: int64
total_chunks: int64
chunks_size: int64
fps: int64
splits: struct<train: string>
child 0, train: string
data_path: string
video_path: string
features: struct<Time: struct<dtype: string, role: string, shape: list<item: int64>>, episode_index: struct<dt (... 1223 chars omitted)
child 0, Time: struct<dtype: string, role: string, shape: list<item: int64>>
child 0, dtype: string
child 1, role: string
child 2, shape: list<item: int64>
child 0, item: int64
child 1, episode_index: struct<dtype: string, role: string, shape: list<item: int64>>
child 0, dtype: string
child 1, role: string
child 2, shape: list<item: int64>
child 0, item: int64
child 2, task_index: struct<dtype: string, role: string, shape: list<item: int64>>
child 0, dtype: string
child 1, role: string
child 2, shape: list<item: int64>
child 0, item: int64
child 3, frame_index: struct<dtype: string, role: string, shape: list<item: int64>>
child 0, dtype: string
child 1, role: string
child 2, shape: list<item: int64>
child 0, item: int64
child 4, sample_index: struct<dtype: string, role: string, shape: list<item: int64>>
child 0, dtype: string
child 1, role: string
child 2, shape: list<item: int64>
child 0, item: int64
child 5, action_0: struct<dtyp
...
child 2, video.width: int64
child 3, video.channels: int64
child 4, video.codec: string
child 5, video.pix_fmt: string
child 6, video.is_depth_map: bool
child 7, has_audio: bool
child 4, timestamp: struct<dtype: string, shape: list<item: int64>, names: null>
child 0, dtype: string
child 1, shape: list<item: int64>
child 0, item: int64
child 2, names: null
child 5, frame_index: struct<dtype: string, shape: list<item: int64>, names: null>
child 0, dtype: string
child 1, shape: list<item: int64>
child 0, item: int64
child 2, names: null
child 6, episode_index: struct<dtype: string, shape: list<item: int64>, names: null>
child 0, dtype: string
child 1, shape: list<item: int64>
child 0, item: int64
child 2, names: null
child 7, index: struct<dtype: string, shape: list<item: int64>, names: null>
child 0, dtype: string
child 1, shape: list<item: int64>
child 0, item: int64
child 2, names: null
child 8, task_index: struct<dtype: string, shape: list<item: int64>, names: null>
child 0, dtype: string
child 1, shape: list<item: int64>
child 0, item: int64
child 2, names: null
length: int64
tasks: list<item: string>
child 0, item: string
episode_index: int64
to
{'episode_index': Value('int64'), 'tasks': List(Value('string')), 'length': Value('int64')}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
industrial_soldering_expert (TsFile)
Apache TsFile version of the LeRobot dataset
kantine/industrial_soldering_expert.
Overview
Expert demonstrations of an industrial soldering task on an SO-100 arm.
- Robot: so100
- Episodes: 15
- Frames: 13,440
- Sampling rate: 30 fps
- Tasks: 1
Schema (TsFile structure)
- Time (INT64, milliseconds) —
round(timestamp * 1000), restarting per episode. - episode_index / task_index (TAG) — the device dimension. Query a single episode with
WHERE episode_index=N. - FIELD —
frame_index,sample_index, and the flattened state/action vectors (observation_state_0..5,action_0..5) as single-precision FLOAT.
The robot's two camera streams (logitech_1 / logitech_2) are time-series-irrelevant and not uploaded to this repository;
get them from the original dataset (its videos/ directory). The source meta/ is mirrored here.
Usage
Read the .tsfile files with the Apache TsFile Java or Python SDK.
Source & license
- Original dataset:
kantine/industrial_soldering_expert - Author / publisher: kantine
- License: apache-2.0
- Downloads last month
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