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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 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.
hdf5 unknown | __key__ string | __url__ string |
|---|---|---|
[
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255,... | dataset_track1/data/fixed_scene_task/episode1 | hf://datasets/WorldArena/WorldArena2.0@e94373fe4cc4bf26342e40fef2721b44563103f9/dataset_track1.tar.gz |
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... | dataset_track1/data/fixed_scene_task/episode10 | hf://datasets/WorldArena/WorldArena2.0@e94373fe4cc4bf26342e40fef2721b44563103f9/dataset_track1.tar.gz |
"iUhERg0KGgoAAAAAAAgIAAQAEAAAAAAAAAAAAAAAAAD//////////8CoAAAAAAAA//////////8AAAAAAAAAAGAAAAAAAAAAAQA(...TRUNCATED) | dataset_track1/data/fixed_scene_task/episode100 | "hf://datasets/WorldArena/WorldArena2.0@e94373fe4cc4bf26342e40fef2721b44563103f9/dataset_track1.tar.(...TRUNCATED) |
"iUhERg0KGgoAAAAAAAgIAAQAEAAAAAAAAAAAAAAAAAD//////////+DLAQAAAAAA//////////8AAAAAAAAAAGAAAAAAAAAAAQA(...TRUNCATED) | dataset_track1/data/fixed_scene_task/episode1000 | "hf://datasets/WorldArena/WorldArena2.0@e94373fe4cc4bf26342e40fef2721b44563103f9/dataset_track1.tar.(...TRUNCATED) |
"iUhERg0KGgoAAAAAAAgIAAQAEAAAAAAAAAAAAAAAAAD//////////yDJAQAAAAAA//////////8AAAAAAAAAAGAAAAAAAAAAAQA(...TRUNCATED) | dataset_track1/data/fixed_scene_task/episode101 | "hf://datasets/WorldArena/WorldArena2.0@e94373fe4cc4bf26342e40fef2721b44563103f9/dataset_track1.tar.(...TRUNCATED) |
"iUhERg0KGgoAAAAAAAgIAAQAEAAAAAAAAAAAAAAAAAD//////////wD3AAAAAAAA//////////8AAAAAAAAAAGAAAAAAAAAAAQA(...TRUNCATED) | dataset_track1/data/fixed_scene_task/episode102 | "hf://datasets/WorldArena/WorldArena2.0@e94373fe4cc4bf26342e40fef2721b44563103f9/dataset_track1.tar.(...TRUNCATED) |
"iUhERg0KGgoAAAAAAAgIAAQAEAAAAAAAAAAAAAAAAAD//////////8CxAQAAAAAA//////////8AAAAAAAAAAGAAAAAAAAAAAQA(...TRUNCATED) | dataset_track1/data/fixed_scene_task/episode103 | "hf://datasets/WorldArena/WorldArena2.0@e94373fe4cc4bf26342e40fef2721b44563103f9/dataset_track1.tar.(...TRUNCATED) |
"iUhERg0KGgoAAAAAAAgIAAQAEAAAAAAAAAAAAAAAAAD//////////yDJAQAAAAAA//////////8AAAAAAAAAAGAAAAAAAAAAAQA(...TRUNCATED) | dataset_track1/data/fixed_scene_task/episode104 | "hf://datasets/WorldArena/WorldArena2.0@e94373fe4cc4bf26342e40fef2721b44563103f9/dataset_track1.tar.(...TRUNCATED) |
"iUhERg0KGgoAAAAAAAgIAAQAEAAAAAAAAAAAAAAAAAD//////////8DHAQAAAAAA//////////8AAAAAAAAAAGAAAAAAAAAAAQA(...TRUNCATED) | dataset_track1/data/fixed_scene_task/episode105 | "hf://datasets/WorldArena/WorldArena2.0@e94373fe4cc4bf26342e40fef2721b44563103f9/dataset_track1.tar.(...TRUNCATED) |
"iUhERg0KGgoAAAAAAAgIAAQAEAAAAAAAAAAAAAAAAAD//////////8DHAQAAAAAA//////////8AAAAAAAAAAGAAAAAAAAAAAQA(...TRUNCATED) | dataset_track1/data/fixed_scene_task/episode106 | "hf://datasets/WorldArena/WorldArena2.0@e94373fe4cc4bf26342e40fef2721b44563103f9/dataset_track1.tar.(...TRUNCATED) |
End of preview.
RoboTwin Embodied Video Generation Dataset for WorldArena2.0
This dataset is designed for embodied video generation and evaluation across two main leaderboards and an interactive arena of WorldArena2.0.
0) Dataset Overview
- Leaderboard (test_dataset): Evaluation set for Leaderboard.Extract the directory from test_dataset.tar.gz
Final evaluation results will be synchronized to Leaderboard and Arena(optional) respectively.
1) Folder Structure & Modalities
For any episode key (for example episodeK), the following four files are one-to-one aligned and must be used together:
data/.../episodeK.hdf5- Main action sequence container.
- Contains joint action, end-effector pose.
instructions/.../episodeK.json- Language prompt.
- Contains one field:
instruction. - use
instructionto generate a video dataset named{model_name}_testfrom test_dataset.
first_frame/.../episodeK.jpg- Initial visual condition frame.
- Use this as the first frame when doing generation.
2) Quick Start for Inference
To generate a future video for episodeK:
- Initial Condition: Use
first_frame/.../episodeK.png. - Text-driven: Extract
instructionfrominstructions/.../episodeK.jsonand use these as prompt along with the corresponding first_frame to inference. - Action-driven: Use
data/.../episodeK.hdf5as action/trajectory along with the corresponding first_frame to inference.
Requirement: Models should take the first_frame and instruction/action as input to generate a video set containing 1000(test) videos corresponding to first_frame, contains 1000(test) videos.
3) Technical Specifications
Our data is sampled and processed from the RoboTwin 2.0 dataset. For detailed technical specifications, HDF5 structure, and coordinate systems, please refer to the official documentation: https://robotwin-platform.github.io/
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