LingBot-VLA
Collection
Vision-Language-Action Foundation Model • 5 items • Updated • 16
Error code: DatasetGenerationError
Exception: TypeError
Message: int() argument must be a string, a bytes-like object or a real number, not 'NoneType'
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1520, in _prepare_split_single
for key, record in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
for item in generator(*args, **kwargs):
~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 130, in _generate_examples
for example_idx, example in enumerate(self._get_pipeline_from_tar(tar_path, tar_iterator)):
~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 34, in _get_pipeline_from_tar
for filename, f in tar_iterator:
^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/track.py", line 49, in __iter__
for x in self.generator(*self.args):
~~~~~~~~~~~~~~^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 1405, in _iter_from_urlpath
with xopen(urlpath, "rb", download_config=download_config, block_size=0) as f:
~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 982, in xopen
file_obj = fs.open(paths[0], mode)
File "<string>", line 3, in open
File "/usr/local/lib/python3.14/unittest/mock.py", line 1176, in __call__
return self._mock_call(*args, **kwargs)
~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/unittest/mock.py", line 1180, in _mock_call
return self._execute_mock_call(*args, **kwargs)
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/unittest/mock.py", line 1247, in _execute_mock_call
result = effect(*args, **kwargs)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 786, in wrapped
tracker.files[urlpath] = {"read": 0, "size": int(f.size)}
~~~^^^^^^^^
TypeError: int() argument must be a string, a bytes-like object or a real number, not 'NoneType'
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/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1382, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1560, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
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11... | BM-001/data/chunk-000/episode_000061 | hf://datasets/robbyant/gm100@85228ad3ab38393f6476e5ec46559d4d51372c07/AgiBotG1/BM-001.tar.gz |
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... | BM-001/data/chunk-000/episode_000032 | hf://datasets/robbyant/gm100@85228ad3ab38393f6476e5ec46559d4d51372c07/AgiBotG1/BM-001.tar.gz |
"UEFSMRUEFbBNFfYmTBXWCRUAEgAA2CYIM4wABQEANA0IADUNCAA2DQgANw0IADgNCAA5DQgAOg0IADsNCAA8DQgAPQ0IAD4NCAA(...TRUNCATED) | BM-001/data/chunk-000/episode_000066 | hf://datasets/robbyant/gm100@85228ad3ab38393f6476e5ec46559d4d51372c07/AgiBotG1/BM-001.tar.gz |
"UEFSMRUEFYBEFZ4iTBXACBUAEgAAgCIIS1kABQEATA0IAE0NCABODQgATw0IAFANCABRDQgAUg0IAFMNCABUDQgAVQ0IAFYNCAB(...TRUNCATED) | BM-001/data/chunk-000/episode_000042 | hf://datasets/robbyant/gm100@85228ad3ab38393f6476e5ec46559d4d51372c07/AgiBotG1/BM-001.tar.gz |
"UEFSMRUEFeBAFc4gTBWMCBUAEgAAsCAIZPUABQEAZQ0IAGYNCABnDQgAaA0IAGkNCABqDQgAaw0IAGwNCABtDQgAbg0IAG8NCAB(...TRUNCATED) | BM-001/data/chunk-000/episode_000108 | hf://datasets/robbyant/gm100@85228ad3ab38393f6476e5ec46559d4d51372c07/AgiBotG1/BM-001.tar.gz |
"UEFSMRUEFeBHFYQkTBX8CBUAEgAA8CMAAA0BAAENCAACDQgAAw0IAAQNCAAFDQgABg0IAAcNCAAIDQgACQ0IAAoNCAALDQgADA0(...TRUNCATED) | BM-001/data/chunk-000/episode_000000 | hf://datasets/robbyant/gm100@85228ad3ab38393f6476e5ec46559d4d51372c07/AgiBotG1/BM-001.tar.gz |
"UEFSMRUEFZBOFaYnTBXiCRUAEgAAiCcM4TIBAAEBAOINCADjDQgA5A0IAOUNCADmDQgA5w0IAOgNCADpDQgA6g0IAOsNCADsDQg(...TRUNCATED) | BM-001/data/chunk-000/episode_000137 | hf://datasets/robbyant/gm100@85228ad3ab38393f6476e5ec46559d4d51372c07/AgiBotG1/BM-001.tar.gz |
"UEFSMRUEFYA4FaIcTBWABxUAEgAAgBwIi68ABQEAjA0IAI0NCACODQgAjw0IAJANCACRDQgAkg0IAJMNCACUDQgAlQ0IAJYNCAC(...TRUNCATED) | BM-001/data/chunk-000/episode_000082 | hf://datasets/robbyant/gm100@85228ad3ab38393f6476e5ec46559d4d51372c07/AgiBotG1/BM-001.tar.gz |
"UEFSMRUEFbBgFbgwTBWGDBUAEgAAmDAIyfkABQEAyg0IAMsNCADMDQgAzQ0IAM4NCADPDQgA0A0IANENCADSDQgA0w0IANQNCAD(...TRUNCATED) | BM-001/data/chunk-000/episode_000110 | hf://datasets/robbyant/gm100@85228ad3ab38393f6476e5ec46559d4d51372c07/AgiBotG1/BM-001.tar.gz |
"UEFSMRUEFaBCFa4hTBWkCBUAEgAAkCEIno4ABQEAnw0IAKANCAChDQgAog0IAKMNCACkDQgApQ0IAKYNCACnDQgAqA0IAKkNCAC(...TRUNCATED) | BM-001/data/chunk-000/episode_000067 | hf://datasets/robbyant/gm100@85228ad3ab38393f6476e5ec46559d4d51372c07/AgiBotG1/BM-001.tar.gz |
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
Thanks to GM-100, which provides 100 carefully designed tasks, we collect data across three robotic platforms to enable a systematic evaluation.
The dataset is stored in the Lerobot2.1 format.
.
├── AgiBotG1/ # Robot Platform
│ |── BM-001 # Task 1
│ │ ├── meta/
│ │ │ ├── info.json
│ │ │ ├── tasks.jsonl
│ │ │ └── ...
│ │ ├── videos/
│ │ │ └── chunk-000/
│ │ │ ├── observation.images.camera_top/
│ │ │ │ ├── episode_000000.mp4
│ │ │ │ ├── episode_000001.mp4
│ │ │ │ └── ...
│ │ │ ├── observation.images.camera_wrist_left/
│ │ │ │ ├── episode_000000.mp4
│ │ │ │ ├── episode_000001.mp4
│ │ │ │ └── ...
│ │ │ └── observation.images.camera_wrist_right/
│ │ │ ├── episode_000000.mp4
│ │ │ ├── episode_000001.mp4
│ │ │ └── ...
│ │ └── data/
│ │ └── chunk-000/
│ │ ├── episode_000000.parquet
│ │ ├── episode_000001.parquet
│ │ └── ...
│ |── BM-002 # Task 2
│ ├── ...
├── AgileX/
│ ├── ...
├── GalaxeaR1Pro/
│ ├── ...
└── ...
This project is licensed under the CC BY-NC-SA 4.0.