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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 1539, in _prepare_split_single
for key, record in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 621, in wrapped
for item in generator(*args, **kwargs):
~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 131, 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 32, 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 1419, 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 976, 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 794, 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 1379, 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 956, 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 1401, 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 1579, 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.
tar unknown | __key__ string | __url__ string |
|---|---|---|
"Li8AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA(...TRUNCATED) | abe743884ea0f81e9c440e82f83e69d90f4a9c127436d36b77b0aae5eb96ce25 | "hf://datasets/daixuancheng/deepswe1.1@8a4ef3edecad4af2c0836592f0d1b38989efd37a/images/public.ecr.aw(...TRUNCATED) |
"ZXRjLwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA(...TRUNCATED) | 9bb1d272ab0d3d1df8839cd5bf08c58b807bf38ac61d77dfe50e7da84afc21b3 | "hf://datasets/daixuancheng/deepswe1.1@8a4ef3edecad4af2c0836592f0d1b38989efd37a/images/public.ecr.aw(...TRUNCATED) |
"ZXRjLwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA(...TRUNCATED) | 70fc8a9dea828d02e41b2d9257e1a0de82f3d853a02961c593b17583685f2d8c | "hf://datasets/daixuancheng/deepswe1.1@8a4ef3edecad4af2c0836592f0d1b38989efd37a/images/public.ecr.aw(...TRUNCATED) |
"dXNyLwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA(...TRUNCATED) | 73c130b00770ddd49459887acfaefd067359353d8c336b40f001abf88e7cc5d8 | "hf://datasets/daixuancheng/deepswe1.1@8a4ef3edecad4af2c0836592f0d1b38989efd37a/images/public.ecr.aw(...TRUNCATED) |
"ZXRjLwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA(...TRUNCATED) | 56e0bb07b9c315fca33d615253fecf504ffa68a17e743fb1a5850b0b66b8ff4c | "hf://datasets/daixuancheng/deepswe1.1@8a4ef3edecad4af2c0836592f0d1b38989efd37a/images/public.ecr.aw(...TRUNCATED) |
"ZXRjLwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA(...TRUNCATED) | 1a267510db20c6f18eeeb21bcac120fce5f88bda28450c99135f0a1274fc1908 | "hf://datasets/daixuancheng/deepswe1.1@8a4ef3edecad4af2c0836592f0d1b38989efd37a/images/public.ecr.aw(...TRUNCATED) |
"cm9vdC8AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA(...TRUNCATED) | e47ba642bbdd47c1008c632bca084b788065813c75f75a94cdb83fcdbd46e7c4 | "hf://datasets/daixuancheng/deepswe1.1@8a4ef3edecad4af2c0836592f0d1b38989efd37a/images/public.ecr.aw(...TRUNCATED) |
"ZXRjLwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA(...TRUNCATED) | 18bad15f40e3f8fbe15a85e3391de78e5c7bf553bf809a3e26243c6dbb6cdeaa | "hf://datasets/daixuancheng/deepswe1.1@8a4ef3edecad4af2c0836592f0d1b38989efd37a/images/public.ecr.aw(...TRUNCATED) |
"dXNyLwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA(...TRUNCATED) | a5bf3e8b17341d6c2ce0121048383f049d23745da8e9cae0f14d36089626039e | "hf://datasets/daixuancheng/deepswe1.1@8a4ef3edecad4af2c0836592f0d1b38989efd37a/images/public.ecr.aw(...TRUNCATED) |
"cm9vdC8AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA(...TRUNCATED) | e7e72abe56070a9558f5d94592bda33424a67b277d8ab9e48306b33a5842ccfe | "hf://datasets/daixuancheng/deepswe1.1@8a4ef3edecad4af2c0836592f0d1b38989efd37a/images/public.ecr.aw(...TRUNCATED) |
End of preview.
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DeepSWE 1.1
Original tasks from datacurve-ai/deep-swe, with matching Docker image tarballs.
hf download daixuancheng/deepswe1.1 --repo-type dataset --local-dir rlbridge_tmp/deepswe-1.1
tar -xzf rlbridge_tmp/deepswe-1.1/tasks.tar.gz -C rlbridge_tmp/deepswe-1.1
for image in rlbridge_tmp/deepswe-1.1/images/*.tar.gz; do docker load -i "$image"; done
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