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
timestamp: struct<min: list<item: double>, max: list<item: double>, mean: list<item: double>, std: list<item: d (... 158 chars omitted)
child 0, min: list<item: double>
child 0, item: double
child 1, max: list<item: double>
child 0, item: double
child 2, mean: list<item: double>
child 0, item: double
child 3, std: list<item: double>
child 0, item: double
child 4, count: list<item: int64>
child 0, item: int64
child 5, q01: list<item: double>
child 0, item: double
child 6, q10: list<item: double>
child 0, item: double
child 7, q50: list<item: double>
child 0, item: double
child 8, q90: list<item: double>
child 0, item: double
child 9, q99: list<item: double>
child 0, item: double
episode_index: struct<min: list<item: double>, max: list<item: double>, mean: list<item: double>, std: list<item: d (... 158 chars omitted)
child 0, min: list<item: double>
child 0, item: double
child 1, max: list<item: double>
child 0, item: double
child 2, mean: list<item: double>
child 0, item: double
child 3, std: list<item: double>
child 0, item: double
child 4, count: list<item: int64>
child 0, item: int64
child 5, q01: list<item: double>
child 0, item: double
child 6, q10: list<item: double>
child 0, item: double
child 7, q50: list<item: double>
child 0, item: double
child 8, q90: list<item: double>
child 0, item: double
child 9, q99: list<item
...
13, is_depth_map: bool
child 3, observation.state: 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 4, action: 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, 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 6, 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 7, 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 8, 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 9, 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
to
{'codebase_version': Value('string'), 'fps': Value('int64'), 'features': {'observation.images.cam_high': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': List(Value('string')), 'info': {'video.height': Value('int64'), 'video.width': Value('int64'), 'video.codec': Value('string'), 'video.pix_fmt': Value('string'), 'video.fps': Value('int64'), 'video.channels': Value('int64'), 'has_audio': Value('bool'), 'video.g': Value('int64'), 'video.crf': Value('int64'), 'video.preset': Value('null'), 'video.fast_decode': Value('int64'), 'video.video_backend': Value('string'), 'video.extra_options': {}, 'is_depth_map': Value('bool')}}, 'observation.images.cam_left_wrist': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': List(Value('string')), 'info': {'video.height': Value('int64'), 'video.width': Value('int64'), 'video.codec': Value('string'), 'video.pix_fmt': Value('string'), 'video.fps': Value('int64'), 'video.channels': Value('int64'), 'has_audio': Value('bool'), 'video.g': Value('int64'), 'video.crf': Value('int64'), 'video.preset': Value('null'), 'video.fast_decode': Value('int64'), 'video.video_backend': Value('string'), 'video.extra_options': {}, 'is_depth_map': Value('bool')}}, 'observation.images.cam_right_wrist': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': List(Value('string')), 'info': {'video.height': Value('int64'), 'video.width': Value('int64'), 'video.codec': Value('string'), 'video.pix_fmt': Value('string'), 'video.fps': Value('int64'), 'video.channels': Value('int64'), 'has_audio': Value('bool'), 'video.g': Value('int64'), 'video.crf': Value('int64'), 'video.preset': Value('null'), 'video.fast_decode': Value('int64'), 'video.video_backend': Value('string'), 'video.extra_options': {}, 'is_depth_map': Value('bool')}}, 'observation.state': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}, 'action': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}, 'timestamp': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}, 'frame_index': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}, 'episode_index': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}, 'index': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}, 'task_index': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}}, 'total_episodes': Value('int64'), 'total_frames': Value('int64'), 'total_tasks': Value('int64'), 'chunks_size': Value('int64'), 'data_files_size_in_mb': Value('int64'), 'video_files_size_in_mb': Value('int64'), 'data_path': Value('string'), 'video_path': Value('string'), 'robot_type': Value('null'), 'splits': {'train': Value('string')}}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 149, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
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 129, 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 489, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2818, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/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/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
timestamp: struct<min: list<item: double>, max: list<item: double>, mean: list<item: double>, std: list<item: d (... 158 chars omitted)
child 0, min: list<item: double>
child 0, item: double
child 1, max: list<item: double>
child 0, item: double
child 2, mean: list<item: double>
child 0, item: double
child 3, std: list<item: double>
child 0, item: double
child 4, count: list<item: int64>
child 0, item: int64
child 5, q01: list<item: double>
child 0, item: double
child 6, q10: list<item: double>
child 0, item: double
child 7, q50: list<item: double>
child 0, item: double
child 8, q90: list<item: double>
child 0, item: double
child 9, q99: list<item: double>
child 0, item: double
episode_index: struct<min: list<item: double>, max: list<item: double>, mean: list<item: double>, std: list<item: d (... 158 chars omitted)
child 0, min: list<item: double>
child 0, item: double
child 1, max: list<item: double>
child 0, item: double
child 2, mean: list<item: double>
child 0, item: double
child 3, std: list<item: double>
child 0, item: double
child 4, count: list<item: int64>
child 0, item: int64
child 5, q01: list<item: double>
child 0, item: double
child 6, q10: list<item: double>
child 0, item: double
child 7, q50: list<item: double>
child 0, item: double
child 8, q90: list<item: double>
child 0, item: double
child 9, q99: list<item
...
13, is_depth_map: bool
child 3, observation.state: 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 4, action: 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, 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 6, 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 7, 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 8, 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 9, 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
to
{'codebase_version': Value('string'), 'fps': Value('int64'), 'features': {'observation.images.cam_high': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': List(Value('string')), 'info': {'video.height': Value('int64'), 'video.width': Value('int64'), 'video.codec': Value('string'), 'video.pix_fmt': Value('string'), 'video.fps': Value('int64'), 'video.channels': Value('int64'), 'has_audio': Value('bool'), 'video.g': Value('int64'), 'video.crf': Value('int64'), 'video.preset': Value('null'), 'video.fast_decode': Value('int64'), 'video.video_backend': Value('string'), 'video.extra_options': {}, 'is_depth_map': Value('bool')}}, 'observation.images.cam_left_wrist': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': List(Value('string')), 'info': {'video.height': Value('int64'), 'video.width': Value('int64'), 'video.codec': Value('string'), 'video.pix_fmt': Value('string'), 'video.fps': Value('int64'), 'video.channels': Value('int64'), 'has_audio': Value('bool'), 'video.g': Value('int64'), 'video.crf': Value('int64'), 'video.preset': Value('null'), 'video.fast_decode': Value('int64'), 'video.video_backend': Value('string'), 'video.extra_options': {}, 'is_depth_map': Value('bool')}}, 'observation.images.cam_right_wrist': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': List(Value('string')), 'info': {'video.height': Value('int64'), 'video.width': Value('int64'), 'video.codec': Value('string'), 'video.pix_fmt': Value('string'), 'video.fps': Value('int64'), 'video.channels': Value('int64'), 'has_audio': Value('bool'), 'video.g': Value('int64'), 'video.crf': Value('int64'), 'video.preset': Value('null'), 'video.fast_decode': Value('int64'), 'video.video_backend': Value('string'), 'video.extra_options': {}, 'is_depth_map': Value('bool')}}, 'observation.state': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}, 'action': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}, 'timestamp': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}, 'frame_index': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}, 'episode_index': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}, 'index': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}, 'task_index': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}}, 'total_episodes': Value('int64'), 'total_frames': Value('int64'), 'total_tasks': Value('int64'), 'chunks_size': Value('int64'), 'data_files_size_in_mb': Value('int64'), 'video_files_size_in_mb': Value('int64'), 'data_path': Value('string'), 'video_path': Value('string'), 'robot_type': Value('null'), 'splits': {'train': Value('string')}}
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.
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
Open Source Data for AMD AI DevMaster Hackathon 202608
Upload to HuggingFace Hub
Upload the whole directory as a single dataset repo (replace YOUR_HF_USERNAME with your username):
export HF_TOKEN=hf_xxxxx
hf upload WuChao-Cauchy/openSource_AMD_AI_DevMaster_Hackathon_202608 \
/home/chao01.wu/BiGym_Dev/data/openSource_AMD_AI_DevMaster_Hackathon_202608 --repo-type=dataset
Create the dataset repo on the Hub first, or pass --create-pr to auto-create it.
Download from HuggingFace Hub
--local-dir copies real files to disk (no symlinks) and resumes by default — if interrupted, re-running the same command continues where it left off, without restarting from scratch.
Full download:
hf WuChao-Cauchy
/openSource_AMD_AI_DevMaster_Hackathon_202608 \
--repo-type=dataset --local-dir ./bigym_plus --max-workers 8
Download only specific tasks (glob matches directory names):
huggingface-cli download WuChao-Cauchy
/openSource_AMD_AI_DevMaster_Hackathon_202608 \
--repo-type=dataset --local-dir ./bigym_plus \
--include "reach_target/*" "reach_target_dual/*"
Common options:
--max-workers N: concurrent download threads, default 8, can be raised on a good network.--include "glob1" "glob2": download only matching files (e.g."<task>/*"for a single task).--exclude "glob1": skip matching files.--force-download: re-download even if files already exist locally.--revision <commit>: pin a specific commit / branch / tag.--quiet: disable progress bars, print only the final path.--cache-dir PATH: custom HF cache dir (default~/.cache/huggingface).
After download, each task subdirectory is a complete lerobot v3.0 dataset, loadable via LeRobotDataset(repo_id="bigym_plus/<task>", root="./bigym_plus").
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