Hugging Face's logo

Datasets:
unfake
/
fake_voices

Tasks:
Text-to-Speech
Text-to-Audio
Modalities:
Audio
Languages:
Portuguese
Size:
1B<n<10B
ArXiv:
Tags:
code
License:
Dataset card Data Studio Files
xet
 Community
Dataset Preview
Duplicate
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed
Error code:   DatasetGenerationError
Exception:    ValueError
Message:      Invalid string class label falabrasil-fake-voices
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1537, in _prepare_split_single
                  example = self.info.features.encode_example(record) if self.info.features is not None else record
                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 2162, in encode_example
                  return encode_nested_example(self, example)
                File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1446, in encode_nested_example
                  {k: encode_nested_example(schema[k], obj.get(k), level=level + 1) for k in schema}
                      ~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1469, in encode_nested_example
                  return schema.encode_example(obj) if obj is not None else None
                         ~~~~~~~~~~~~~~~~~~~~~^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1144, in encode_example
                  example_data = self.str2int(example_data)
                File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1081, in str2int
                  output = [self._strval2int(value) for value in values]
                            ~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1102, in _strval2int
                  raise ValueError(f"Invalid string class label {value}")
              ValueError: Invalid string class label falabrasil-fake-voices
              
              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

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

audio
audio
label
class label
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
0AdrianaMalta_F049_Fake
End of preview.

Dataset Card for Fake Voices

This dataset contains deepfakes in Brazilian Portuguese created with XTTS model.

Dataset Details

The dataset was created using the XTTS model, which is a Text-to-Speech model pre-trained in several languages including Portuguese. In order to generate the mentioned deepfakes, the model was fed with recordings from the CETUC Corpus, made available by Fala Brasil Group. It contains speeches from 101 speakers, totaling 140 hours of audio.

Dataset Description

  • Language(s) (NLP): Brazilian Portuguese
  • License: MIT

Uses

This dataset was created for Portuguese deepfake detection purposes, enabling research in various areas, including audio classification, signal processing and statistical analysis.

Dataset Structure

The dataset contains .zip files, each of them representing one speaker. In each .zip, there are deepfakes and their corresponding .txt transcriptions.

Dataset Authors

  • Éric Carvalho Figueira
  • Marcos Godinho Filho

Dataset Contact

Contact us via unfake.official.contact@gmail.com.
Downloads last month
70
Total file size:
30.5 GB

Paper for unfake/fake_voices