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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 dataset

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json
dict
__key__
string
__url__
string
{ "id": "S00023", "start": 311.432, "end": 335.618, "text_whisper": "最高气温还将会普遍冲上25度,随后一天还将会向30度迈进,比如郑州,5号是28度,6号就会有30度,这将是今年我国北方省会城市当中的首个30度,这份如初下班的炎热呢,将会比常年提前半个月到来,而这种情况近些年也很是频繁,热得早,正逐渐成为郑州天气的常态。", "text_paraformer": "最高气温还将会普遍冲上二十五度,随后一天还将会向三十度迈进。比如郑州五号是二十八度,六号就会有三十度。这将是今年我国北方省会城市当中的首个三十度。这份如初夏般的炎热呢将会比常年提前半...
datas/--561dw9wOc/S00023
hf://datasets/zyk21/VoxDub@98449bbbe275b7e637ffbb445982889629910061/av_segments_v1.tar.zst
{ "id": "S00024", "start": 335.784, "end": 355.458, "text_whisper": "又晴又暖,天气就会愈发的干燥,那么假期期间呢,我国北方大部地区都将会被代表着,这种天气干燥的橙黄色所覆盖,午后相对湿度普遍不足百分之二十,天干雾燥,再加上午后多风,那么在山西的东北部,河北北部,北京北部这一带,清明祭早,一定要特别注意应务和安全。", "text_paraformer": "又晴又暖天气就会愈发的干燥。那么假期期间呢,我国北方大部地区都将会被代表着这种天气干燥的橙黄色所覆盖,午后相对湿度普遍不足百分之二十。天干物燥,再加上午后多风。那么在山西的东北部、河北北部、...
datas/--561dw9wOc/S00024
hf://datasets/zyk21/VoxDub@98449bbbe275b7e637ffbb445982889629910061/av_segments_v1.tar.zst
{"id":"S00025","start":355.816,"end":360.898,"text_whisper":"好,扫门屏幕上方的二维码,您(...TRUNCATED)
datas/--561dw9wOc/S00025
hf://datasets/zyk21/VoxDub@98449bbbe275b7e637ffbb445982889629910061/av_segments_v1.tar.zst
{"id":"S00085","start":727.752,"end":730.434,"text_whisper":"悠悠万事,吃饭为大。","text_par(...TRUNCATED)
datas/--561dw9wOc/S00085
hf://datasets/zyk21/VoxDub@98449bbbe275b7e637ffbb445982889629910061/av_segments_v1.tar.zst
{"id":"S00086","start":730.696,"end":734.914,"text_whisper":"尽管我国粮食连年丰收,但并(...TRUNCATED)
datas/--561dw9wOc/S00086
hf://datasets/zyk21/VoxDub@98449bbbe275b7e637ffbb445982889629910061/av_segments_v1.tar.zst
{"id":"S00087","start":735.528,"end":745.858,"text_whisper":"受去年罕见秋迅影响,河北河(...TRUNCATED)
datas/--561dw9wOc/S00087
hf://datasets/zyk21/VoxDub@98449bbbe275b7e637ffbb445982889629910061/av_segments_v1.tar.zst
{"id":"S00088","start":746.248,"end":753.698,"text_whisper":"到今年二月初,这批碗钵小麦(...TRUNCATED)
datas/--561dw9wOc/S00088
hf://datasets/zyk21/VoxDub@98449bbbe275b7e637ffbb445982889629910061/av_segments_v1.tar.zst
{"id":"S00090","start":757.16,"end":765.282,"text_whisper":"促进晚播小麦苗情转化升级,让(...TRUNCATED)
datas/--561dw9wOc/S00090
hf://datasets/zyk21/VoxDub@98449bbbe275b7e637ffbb445982889629910061/av_segments_v1.tar.zst
{"id":"S00002","start":13.8,"end":15.586,"text_whisper":"他的母亲走路不太方便,","text_para(...TRUNCATED)
datas/--7_NaHSXaQ/S00002
hf://datasets/zyk21/VoxDub@98449bbbe275b7e637ffbb445982889629910061/av_segments_v1.tar.zst
{"id":"S00003","start":15.944,"end":20.45,"text_whisper":"于是我就帮他准备了一张轮椅,(...TRUNCATED)
datas/--7_NaHSXaQ/S00003
hf://datasets/zyk21/VoxDub@98449bbbe275b7e637ffbb445982889629910061/av_segments_v1.tar.zst
End of preview.