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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 1531, 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 127, 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 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 1393, 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 1571, 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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flac
audio
__key__
string
__url__
string
bn/audio/bn_00000_00000
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00001
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00002
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00003
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00004
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00005
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00006
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00007
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00008
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00009
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00010
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00011
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00012
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00013
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00014
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00015
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00016
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00017
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00018
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00019
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00020
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00021
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00022
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00023
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00024
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00025
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00026
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00027
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00028
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00029
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00030
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00031
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00032
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00033
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00034
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00035
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00036
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00037
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00038
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00039
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00040
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00041
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00042
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00043
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00044
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00045
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00046
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00047
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00048
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00049
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00050
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00051
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00052
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00053
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00054
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00055
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00056
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00057
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00058
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00059
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00060
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00061
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00062
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00063
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00064
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00065
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00066
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00067
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00068
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00069
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00070
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00071
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00072
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00073
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00074
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00075
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00076
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00077
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00078
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00079
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00080
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00081
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00082
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00083
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00084
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00085
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00086
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00087
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00088
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00089
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00090
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00091
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00092
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00093
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00094
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00095
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00096
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00097
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00098
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
bn/audio/bn_00000_00099
hf://datasets/2023310197mehak/Indic-dataset-ft@b3ce45160bc0a77328da087d3612154750b84f3a/bn.tar
End of preview.

YAML Metadata Warning:empty or missing yaml metadata in repo card

Check out the documentation for more information.

Qwen3-TTS fine-tuning subsets

One tar per language. Each contains <lang>/audio/*.flac, <lang>/ref.flac, <lang>/train_raw.jsonl and <lang>/info.json.

train_raw.jsonl follows Qwen3-TTS's {audio, text, ref_audio} spec with paths relative to the language directory. Every row shares one ref.flac, as Qwen's finetuning README recommends. 24 kHz mono FLAC; Qwen's dataset.py loads via librosa, which reads FLAC.

Packed as tars because uploading ~21,000 loose files trips the Hub's rate limit.

Derived from ai4bharat/indicvoices_r (CC-BY-4.0, gated) and SPRINGLab/IndicTTS_* (no declared licence - confirm terms before commercial use or redistribution).

lang speaker clips hours tar
bn indictts_bn_male 3408 5.0 bn.tar (0.51 GB)
en_in indictts_en_in_spk 3999 5.0 en_in.tar (0.5 GB)
gu indictts_gu_female 1618 5.0 gu.tar (0.47 GB)
hi indictts_hi_male 2605 5.0 hi.tar (0.47 GB)
kn indictts_kn_female 2243 5.0 kn.tar (0.48 GB)
mr indictts_mr_female 2588 5.0 mr.tar (0.48 GB)
ta indictts_ta_male 2536 5.0 ta.tar (0.47 GB)
te indictts_te_male 2239 4.49 te.tar (0.42 GB)
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