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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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__key__
string
__url__
string
npy
sequence
tokens/acoustic/audio__11614_other__10547__thousandnights8_04_anonymous_0001
hf://datasets/cmeraki/hifi_tts_other@62efb5f8d9b118948dcc92d9b2b05ec3d2fc2073/acoustic.tar
[ [ 865, 408, 738, 103, 103, 103, 103, 103, 103, 25, 976, 727, 465, 385, 945, 1022, 347, 945, 563, 505, 415, 645, 921, 921, 942, 373, 25, 463, 103, 912, 385, 59, 192, 843, 1001, ...
tokens/acoustic/audio__11614_other__10547__thousandnights8_04_anonymous_0003
hf://datasets/cmeraki/hifi_tts_other@62efb5f8d9b118948dcc92d9b2b05ec3d2fc2073/acoustic.tar
[ [ 738, 1019, 967, 931, 20, 20, 185, 921, 530, 807, 1010, 530, 583, 598, 936, 370, 20, 20, 203, 683, 324, 977, 565, 463, 463, 53, 463, 463, 25, 430, 780, 780, 717, 121, 855, ...
tokens/acoustic/audio__11614_other__10547__thousandnights8_04_anonymous_0004
hf://datasets/cmeraki/hifi_tts_other@62efb5f8d9b118948dcc92d9b2b05ec3d2fc2073/acoustic.tar
[ [ 780, 408, 717, 717, 717, 738, 717, 780, 52, 372, 411, 99, 683, 747, 20, 656, 598, 393, 598, 860, 890, 20, 20, 233, 233, 233, 428, 1022, 321, 136, 967, 1022, 499, 499, 499, ...
tokens/acoustic/audio__11614_other__10547__thousandnights8_04_anonymous_0005
hf://datasets/cmeraki/hifi_tts_other@62efb5f8d9b118948dcc92d9b2b05ec3d2fc2073/acoustic.tar
[ [ 62, 408, 717, 738, 475, 321, 784, 467, 858, 321, 53, 53, 53, 103, 103, 935, 73, 73, 499, 537, 73, 887, 879, 220, 203, 203, 1004, 808, 291, 971, 472, 472, 475, 475, 887, 3...
tokens/acoustic/audio__11614_other__10547__thousandnights8_04_anonymous_0007
hf://datasets/cmeraki/hifi_tts_other@62efb5f8d9b118948dcc92d9b2b05ec3d2fc2073/acoustic.tar
[ [ 717, 738, 738, 738, 687, 583, 432, 871, 283, 943, 886, 479, 659, 59, 890, 136, 598, 860, 1001, 860, 699, 598, 151, 151, 151, 901, 945, 530, 53, 53, 463, 373, 463, 373, 373, ...
tokens/acoustic/audio__11614_other__10547__thousandnights8_04_anonymous_0010
hf://datasets/cmeraki/hifi_tts_other@62efb5f8d9b118948dcc92d9b2b05ec3d2fc2073/acoustic.tar
[ [ 62, 738, 717, 717, 876, 738, 52, 52, 203, 203, 203, 451, 734, 613, 881, 52, 323, 73, 433, 25, 935, 25, 25, 339, 395, 395, 339, 583, 200, 906, 770, 344, 583, 807, 945, 344...
tokens/acoustic/audio__11614_other__10547__thousandnights8_04_anonymous_0016
hf://datasets/cmeraki/hifi_tts_other@62efb5f8d9b118948dcc92d9b2b05ec3d2fc2073/acoustic.tar
[ [ 780, 463, 463, 537, 537, 73, 706, 562, 800, 378, 642, 465, 960, 1010, 698, 151, 344, 583, 344, 583, 344, 583, 751, 311, 328, 746, 807, 583, 583, 699, 751, 20, 203, 837, 259, ...
tokens/acoustic/audio__11614_other__10547__thousandnights8_04_anonymous_0017
hf://datasets/cmeraki/hifi_tts_other@62efb5f8d9b118948dcc92d9b2b05ec3d2fc2073/acoustic.tar
[ [ 780, 408, 408, 717, 717, 780, 887, 275, 112, 411, 407, 407, 208, 855, 834, 738, 876, 430, 511, 53, 433, 344, 467, 612, 929, 858, 858, 931, 738, 475, 876, 738, 25, 430, 835, ...
tokens/acoustic/audio__11614_other__10547__thousandnights8_04_anonymous_0019
hf://datasets/cmeraki/hifi_tts_other@62efb5f8d9b118948dcc92d9b2b05ec3d2fc2073/acoustic.tar
[ [ 717, 780, 408, 699, 491, 890, 612, 612, 465, 407, 944, 944, 833, 1001, 430, 475, 25, 25, 25, 25, 25, 25, 25, 276, 124, 3, 796, 43, 808, 921, 936, 921, 936, 921, 881, 344,...
tokens/acoustic/audio__11614_other__10547__thousandnights8_04_anonymous_0021
hf://datasets/cmeraki/hifi_tts_other@62efb5f8d9b118948dcc92d9b2b05ec3d2fc2073/acoustic.tar
[ [ 780, 30, 30, 936, 928, 1010, 530, 344, 1010, 530, 976, 52, 52, 393, 393, 325, 393, 393, 11, 696, 208, 724, 463, 463, 463, 463, 53, 463, 463, 25, 404, 182, 203, 925, 203, ...
tokens/acoustic/audio__11614_other__10547__thousandnights8_04_anonymous_0022
hf://datasets/cmeraki/hifi_tts_other@62efb5f8d9b118948dcc92d9b2b05ec3d2fc2073/acoustic.tar
[ [ 717, 203, 203, 203, 203, 747, 478, 747, 747, 747, 747, 747, 275, 984, 344, 344, 344, 311, 311, 699, 699, 834, 724, 977, 837, 656, 837, 942, 1010, 751, 344, 311, 651, 751, 751...
tokens/acoustic/audio__11614_other__10547__thousandnights8_04_anonymous_0026
hf://datasets/cmeraki/hifi_tts_other@62efb5f8d9b118948dcc92d9b2b05ec3d2fc2073/acoustic.tar
[ [ 780, 408, 408, 780, 717, 780, 717, 1004, 385, 530, 945, 598, 1001, 945, 373, 53, 53, 463, 373, 53, 537, 779, 850, 535, 372, 59, 428, 428, 151, 151, 151, 151, 151, 971, 699, ...
tokens/acoustic/audio__11614_other__10547__thousandnights8_04_anonymous_0027
hf://datasets/cmeraki/hifi_tts_other@62efb5f8d9b118948dcc92d9b2b05ec3d2fc2073/acoustic.tar
[ [ 463, 53, 373, 373, 53, 53, 463, 25, 219, 856, 253, 1010, 347, 430, 430, 780, 738, 738, 738, 738, 935, 819, 746, 945, 945, 945, 530, 344, 1010, 530, 344, 890, 530, 24, 530, ...
tokens/acoustic/audio__11614_other__10547__thousandnights8_04_anonymous_0029
hf://datasets/cmeraki/hifi_tts_other@62efb5f8d9b118948dcc92d9b2b05ec3d2fc2073/acoustic.tar
[ [ 699, 699, 491, 143, 20, 1001, 1010, 971, 228, 1019, 876, 228, 325, 222, 455, 358, 213, 593, 216, 20, 20, 565, 971, 347, 976, 228, 131, 860, 344, 1010, 976, 463, 53, 463, 463,...
tokens/acoustic/audio__11614_other__10547__thousandnights8_04_anonymous_0030
hf://datasets/cmeraki/hifi_tts_other@62efb5f8d9b118948dcc92d9b2b05ec3d2fc2073/acoustic.tar
[ [ 717, 738, 738, 738, 738, 121, 967, 411, 977, 563, 424, 563, 1001, 1010, 724, 738, 393, 393, 499, 499, 393, 52, 52, 280, 358, 358, 358, 358, 358, 358, 501, 411, 612, 612, 890,...
tokens/acoustic/audio__11614_other__10547__thousandnights8_04_anonymous_0035
hf://datasets/cmeraki/hifi_tts_other@62efb5f8d9b118948dcc92d9b2b05ec3d2fc2073/acoustic.tar
[ [ 62, 408, 408, 430, 1009, 428, 837, 259, 253, 253, 253, 70, 949, 656, 808, 530, 52, 208, 999, 819, 613, 706, 535, 846, 941, 358, 747, 213, 213, 213, 213, 428, 216, 683, 112, ...
tokens/acoustic/audio__11614_other__10547__thousandnights8_04_anonymous_0038
hf://datasets/cmeraki/hifi_tts_other@62efb5f8d9b118948dcc92d9b2b05ec3d2fc2073/acoustic.tar
[ [ 62, 780, 780, 717, 738, 339, 339, 404, 52, 396, 501, 695, 501, 358, 747, 275, 393, 91, 404, 106, 404, 876, 855, 798, 38, 677, 779, 604, 186, 424, 1001, 598, 860, 699, 604, ...
tokens/acoustic/audio__11614_other__10547__thousandnights8_04_anonymous_0041
hf://datasets/cmeraki/hifi_tts_other@62efb5f8d9b118948dcc92d9b2b05ec3d2fc2073/acoustic.tar
[ [ 717, 780, 780, 717, 738, 738, 25, 502, 502, 465, 41, 882, 655, 124, 344, 976, 699, 583, 432, 491, 511, 1023, 74, 641, 668, 881, 808, 921, 751, 433, 57, 641, 884, 939, 584, ...
tokens/acoustic/audio__11614_other__10547__thousandnights8_04_anonymous_0042
hf://datasets/cmeraki/hifi_tts_other@62efb5f8d9b118948dcc92d9b2b05ec3d2fc2073/acoustic.tar
[ [ 91, 52, 52, 724, 987, 784, 467, 784, 784, 20, 393, 393, 91, 1022, 505, 645, 162, 435, 85, 435, 248, 30, 370, 855, 370, 904, 106, 935, 203, 203, 942, 430, 472, 855, 855, 7...
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