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The dataset generation failed
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 dataset

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parquet
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__key__
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__url__
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[ 80, 65, 82, 49, 21, 4, 21, 240, 51, 21, 150, 26, 76, 21, 190, 6, 21, 0, 18, 0, 0, 248, 25, 8, 108, 129, 0, 5, 1, 0, 109, 13, 8, 0, 110, 13, 8, 0, 111, 13, 8, 0, 112, 13, 8, 0, 113, 13, 8, 0, 114, 13, 8, 0, 11...
BM-001/data/chunk-000/episode_000061
hf://datasets/robbyant/gm100@85228ad3ab38393f6476e5ec46559d4d51372c07/AgiBotG1/BM-001.tar.gz
[ 80, 65, 82, 49, 21, 4, 21, 176, 51, 21, 246, 25, 76, 21, 182, 6, 21, 0, 18, 0, 0, 216, 25, 8, 40, 64, 0, 5, 1, 0, 41, 13, 8, 0, 42, 13, 8, 0, 43, 13, 8, 0, 44, 13, 8, 0, 45, 13, 8, 0, 46, 13, 8, 0, 47, 13, ...
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
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BM-001/data/chunk-000/episode_000042
hf://datasets/robbyant/gm100@85228ad3ab38393f6476e5ec46559d4d51372c07/AgiBotG1/BM-001.tar.gz
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BM-001/data/chunk-000/episode_000108
hf://datasets/robbyant/gm100@85228ad3ab38393f6476e5ec46559d4d51372c07/AgiBotG1/BM-001.tar.gz
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BM-001/data/chunk-000/episode_000000
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BM-001/data/chunk-000/episode_000137
hf://datasets/robbyant/gm100@85228ad3ab38393f6476e5ec46559d4d51372c07/AgiBotG1/BM-001.tar.gz
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BM-001/data/chunk-000/episode_000082
hf://datasets/robbyant/gm100@85228ad3ab38393f6476e5ec46559d4d51372c07/AgiBotG1/BM-001.tar.gz
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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
End of preview.

YAML Metadata Warning:empty or missing yaml metadata in repo card

Check out the documentation for more information.

A Multi-embodiments Benchmark

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.

Dataset Structure

.
├── 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/                
│   ├── ...
└── ...

License Agreement

This project is licensed under the CC BY-NC-SA 4.0.

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