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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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180s/2_3_m_pandas70m/b/e/7/be78832adc6d06b5d2a291e850449c8b
hf://datasets/mvp-lab/IceFrog@e1174fb59c3ac3d829473a5a03e1866868e383be/tom/train_00000_of_04199.tar
180s/2_3_m_pandas70m/8/6/7/867d926b42692b8e54c4af10499c773e
hf://datasets/mvp-lab/IceFrog@e1174fb59c3ac3d829473a5a03e1866868e383be/tom/train_00000_of_04199.tar
180s/2_3_m_pandas70m/2/6/6/266cf8212d7fabf2210cd3bc79880584
hf://datasets/mvp-lab/IceFrog@e1174fb59c3ac3d829473a5a03e1866868e383be/tom/train_00000_of_04199.tar
180s/2_3_m_howto100m/1/7/b/17ba26c503da451f2c69e9e8640b0970
hf://datasets/mvp-lab/IceFrog@e1174fb59c3ac3d829473a5a03e1866868e383be/tom/train_00000_of_04199.tar
180s/2_3_m_howto100m/a/f/6/af6f551dfcda1b93add29397b7161607
hf://datasets/mvp-lab/IceFrog@e1174fb59c3ac3d829473a5a03e1866868e383be/tom/train_00000_of_04199.tar
180s/2_3_m_howto100m/1/d/e/1deba79ab5d7bec5835252ea39c0d69f
hf://datasets/mvp-lab/IceFrog@e1174fb59c3ac3d829473a5a03e1866868e383be/tom/train_00000_of_04199.tar
180s/2_3_m_howto100m/6/0/3/60383ce70978b405f1eba5aefee9314d
hf://datasets/mvp-lab/IceFrog@e1174fb59c3ac3d829473a5a03e1866868e383be/tom/train_00000_of_04199.tar
180s/2_3_m_howto100m/0/6/9/0697c6f80781fc23a043afcef78888ea
hf://datasets/mvp-lab/IceFrog@e1174fb59c3ac3d829473a5a03e1866868e383be/tom/train_00000_of_04199.tar
180s/2_3_m_howto100m/9/4/a/94a811c73c816d0938d580ccb6fb1cda
hf://datasets/mvp-lab/IceFrog@e1174fb59c3ac3d829473a5a03e1866868e383be/tom/train_00000_of_04199.tar
180s/2_3_m_howto100m/1/d/e/1de777ef77ffcde29e5ef4e5e2bcf5bf
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180s/2_3_m_pandas70m/d/b/d/dbd54feb2e44ea138fbc6704d55c57a6
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180s/2_3_m_pandas70m/d/a/2/da28688cb3e8b4067bc123b00194d63b
hf://datasets/mvp-lab/IceFrog@e1174fb59c3ac3d829473a5a03e1866868e383be/tom/train_00000_of_04199.tar
180s/2_3_m_howto100m/8/7/b/87b1990a366a606865bbd6c8766f072b
hf://datasets/mvp-lab/IceFrog@e1174fb59c3ac3d829473a5a03e1866868e383be/tom/train_00000_of_04199.tar
180s/2_3_m_pandas70m/9/0/f/90fe1a182139c3b84b04eb1d86a1e894
hf://datasets/mvp-lab/IceFrog@e1174fb59c3ac3d829473a5a03e1866868e383be/tom/train_00000_of_04199.tar
180s/2_3_m_pandas70m/2/d/9/2d98de9ad669831718bf83fe40a722f8
hf://datasets/mvp-lab/IceFrog@e1174fb59c3ac3d829473a5a03e1866868e383be/tom/train_00000_of_04199.tar
180s/2_3_m_pandas70m/1/1/1/111aa24e3d801b76dcd1a6e92f962fdc
hf://datasets/mvp-lab/IceFrog@e1174fb59c3ac3d829473a5a03e1866868e383be/tom/train_00000_of_04199.tar
180s/2_3_m_pandas70m/5/6/1/56147ae647a25a15b2226ddaf6b753a1
hf://datasets/mvp-lab/IceFrog@e1174fb59c3ac3d829473a5a03e1866868e383be/tom/train_00000_of_04199.tar
180s/2_3_m_howto100m/c/a/7/ca7eac1eff1c7ebafe7cde4afa3db5d9
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180s/2_3_m_howto100m/2/5/8/258ad8ca7532ab98e3111c4f0aa33a3a
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180s/2_3_m_howto100m/8/9/9/899d4c14a4e7797ed0c9cf0b39bec708
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180s/2_3_m_howto100m/a/b/f/abff8a1d7922aeff8e7b22fc021d2999
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180s/2_3_m_pandas70m/3/1/a/31a8506d0f042484e3fd15ef926aaec4
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180s/2_3_m_howto100m/f/e/9/fe9af4bc885ef3b4839e8c07e86a39a0
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180s/2_3_m_pandas70m/5/b/a/5ba9e434bb02ddeef3753f7fef541788
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180s/2_3_m_pandas70m/8/3/1/83197b8a3a129921f5bf22550e1e8612
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180s/2_3_m_pandas70m/b/8/2/b824b3fedecd094e241cb8dc5ae9f226
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hf://datasets/mvp-lab/IceFrog@e1174fb59c3ac3d829473a5a03e1866868e383be/tom/train_00000_of_04199.tar
180s/2_3_m_pandas70m/6/2/d/62dfc93f6de82c1b053d5aae4e882658
hf://datasets/mvp-lab/IceFrog@e1174fb59c3ac3d829473a5a03e1866868e383be/tom/train_00000_of_04199.tar
180s/2_3_m_pandas70m/c/e/f/cef406cdf52dee35612e149100ecbb2f
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180s/2_3_m_pandas70m/a/3/e/a3e74794d33438b39f52f36ddbc00620
hf://datasets/mvp-lab/IceFrog@e1174fb59c3ac3d829473a5a03e1866868e383be/tom/train_00000_of_04199.tar
180s/2_3_m_pandas70m/e/0/a/e0a7c89b6b401f3accbf51a9977243f7
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hf://datasets/mvp-lab/IceFrog@e1174fb59c3ac3d829473a5a03e1866868e383be/tom/train_00000_of_04199.tar
180s/2_3_m_pandas70m/c/d/3/cd3f7c8601b50ca3806b126090c9dc8f
hf://datasets/mvp-lab/IceFrog@e1174fb59c3ac3d829473a5a03e1866868e383be/tom/train_00000_of_04199.tar
180s/2_3_m_pandas70m/2/c/9/2c96b305d2c70c00c441dae579d968b5
hf://datasets/mvp-lab/IceFrog@e1174fb59c3ac3d829473a5a03e1866868e383be/tom/train_00000_of_04199.tar
180s/2_3_m_pandas70m/3/3/3/3332bca7a0c20b694a1fae6d62972343
hf://datasets/mvp-lab/IceFrog@e1174fb59c3ac3d829473a5a03e1866868e383be/tom/train_00000_of_04199.tar
180s/2_3_m_howto100m/d/1/8/d187e0cf1b5e20d662ffd06779ec4e1d
hf://datasets/mvp-lab/IceFrog@e1174fb59c3ac3d829473a5a03e1866868e383be/tom/train_00000_of_04199.tar
180s/2_3_m_pandas70m/3/1/a/31a1985420c0698e657ec1af06ce1b1c
hf://datasets/mvp-lab/IceFrog@e1174fb59c3ac3d829473a5a03e1866868e383be/tom/train_00000_of_04199.tar
180s/2_3_m_pandas70m/a/6/4/a64f794460488788c50c370abd3ce5cc
hf://datasets/mvp-lab/IceFrog@e1174fb59c3ac3d829473a5a03e1866868e383be/tom/train_00000_of_04199.tar
180s/2_3_m_pandas70m/4/c/b/4cb31cc4945c5e1c76d895a05ab51582
hf://datasets/mvp-lab/IceFrog@e1174fb59c3ac3d829473a5a03e1866868e383be/tom/train_00000_of_04199.tar
180s/2_3_m_pandas70m/3/4/4/344d8728cd0aa36f5a6580508c576213
hf://datasets/mvp-lab/IceFrog@e1174fb59c3ac3d829473a5a03e1866868e383be/tom/train_00000_of_04199.tar
180s/2_3_m_pandas70m/6/c/6/6c6cecac974ce714dc86a53b5936eb24
hf://datasets/mvp-lab/IceFrog@e1174fb59c3ac3d829473a5a03e1866868e383be/tom/train_00000_of_04199.tar
180s/2_3_m_pandas70m/3/5/2/352065d234526301a55dc17dac7a77d1
hf://datasets/mvp-lab/IceFrog@e1174fb59c3ac3d829473a5a03e1866868e383be/tom/train_00000_of_04199.tar
180s/2_3_m_howto100m/c/2/4/c242ca5e27758bb808ffc6f734252692
hf://datasets/mvp-lab/IceFrog@e1174fb59c3ac3d829473a5a03e1866868e383be/tom/train_00000_of_04199.tar
180s/2_3_m_pandas70m/3/8/1/3819d724971ef314963bc5a3aec86536
hf://datasets/mvp-lab/IceFrog@e1174fb59c3ac3d829473a5a03e1866868e383be/tom/train_00000_of_04199.tar
180s/2_3_m_pandas70m/5/4/6/5462753f4eebac797a25bfbd02677297
hf://datasets/mvp-lab/IceFrog@e1174fb59c3ac3d829473a5a03e1866868e383be/tom/train_00000_of_04199.tar
180s/2_3_m_pandas70m/8/5/8/8586c826e61f2656349667b64952aff3
hf://datasets/mvp-lab/IceFrog@e1174fb59c3ac3d829473a5a03e1866868e383be/tom/train_00000_of_04199.tar
180s/2_3_m_howto100m/2/5/9/259fc3eef9ac1eed811874e9e56e6ba9
hf://datasets/mvp-lab/IceFrog@e1174fb59c3ac3d829473a5a03e1866868e383be/tom/train_00000_of_04199.tar
180s/2_3_m_pandas70m/6/7/7/677074695d7eb54efc2dd5a49166f37c
hf://datasets/mvp-lab/IceFrog@e1174fb59c3ac3d829473a5a03e1866868e383be/tom/train_00000_of_04199.tar
180s/2_3_m_pandas70m/a/b/4/ab481d5410999fe6c07991e11e39fc28
hf://datasets/mvp-lab/IceFrog@e1174fb59c3ac3d829473a5a03e1866868e383be/tom/train_00000_of_04199.tar
180s/2_3_m_pandas70m/f/9/1/f917748b1b678574dedc7f215263b734
hf://datasets/mvp-lab/IceFrog@e1174fb59c3ac3d829473a5a03e1866868e383be/tom/train_00000_of_04199.tar
180s/2_3_m_pandas70m/c/0/4/c045fa06f39db05dea703719eb63732a
hf://datasets/mvp-lab/IceFrog@e1174fb59c3ac3d829473a5a03e1866868e383be/tom/train_00000_of_04199.tar
180s/2_3_m_howto100m/b/0/0/b002b3914f022af84e14bdd410021aa8
hf://datasets/mvp-lab/IceFrog@e1174fb59c3ac3d829473a5a03e1866868e383be/tom/train_00000_of_04199.tar
180s/2_3_m_pandas70m/d/3/6/d36df85c26fb4dd766463dc57b29f778
hf://datasets/mvp-lab/IceFrog@e1174fb59c3ac3d829473a5a03e1866868e383be/tom/train_00000_of_04199.tar
180s/2_3_m_pandas70m/b/f/a/bfaf11b18d8d2a2196a4d3636e4e4c1d
hf://datasets/mvp-lab/IceFrog@e1174fb59c3ac3d829473a5a03e1866868e383be/tom/train_00000_of_04199.tar
180s/2_3_m_pandas70m/4/5/a/45aa40d80b222b9d6652382615e5d3c2
hf://datasets/mvp-lab/IceFrog@e1174fb59c3ac3d829473a5a03e1866868e383be/tom/train_00000_of_04199.tar
180s/2_3_m_howto100m/1/6/6/166b5f68838405306abd9b3282f55cda
hf://datasets/mvp-lab/IceFrog@e1174fb59c3ac3d829473a5a03e1866868e383be/tom/train_00000_of_04199.tar
180s/2_3_m_howto100m/4/1/4/414a643c5ec697d8e9e2897117bfc954
hf://datasets/mvp-lab/IceFrog@e1174fb59c3ac3d829473a5a03e1866868e383be/tom/train_00000_of_04199.tar
180s/2_3_m_pandas70m/c/3/6/c360e7b5f4148b42f9f0a8d3799491ef
hf://datasets/mvp-lab/IceFrog@e1174fb59c3ac3d829473a5a03e1866868e383be/tom/train_00000_of_04199.tar
180s/2_3_m_pandas70m/e/b/c/ebc9d3604d115b3de9dadb959b8e9190
hf://datasets/mvp-lab/IceFrog@e1174fb59c3ac3d829473a5a03e1866868e383be/tom/train_00000_of_04199.tar
180s/2_3_m_howto100m/0/c/9/0c9f3a98b9b507ad1b1212a97031da59
hf://datasets/mvp-lab/IceFrog@e1174fb59c3ac3d829473a5a03e1866868e383be/tom/train_00000_of_04199.tar
180s/2_3_m_pandas70m/0/3/f/03f2241b2d5e98ff790e9ad57ea4036f
hf://datasets/mvp-lab/IceFrog@e1174fb59c3ac3d829473a5a03e1866868e383be/tom/train_00000_of_04199.tar
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