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KazEmoTTS

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The dataset generation failed

Error code:   DatasetGenerationError
Exception:    UnicodeDecodeError
Message:      'utf-8' codec can't decode byte 0xac in position 29: invalid start byte
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1854, in _prepare_split_single
                  for _, table in generator:
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 689, in wrapped
                  for item in generator(*args, **kwargs):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/text/text.py", line 73, in _generate_tables
                  batch = f.read(self.config.chunksize)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/file_utils.py", line 826, in read_with_retries
                  out = read(*args, **kwargs)
                File "/usr/local/lib/python3.9/codecs.py", line 322, in decode
                  (result, consumed) = self._buffer_decode(data, self.errors, final)
              UnicodeDecodeError: 'utf-8' codec can't decode byte 0xac in position 29: invalid start byte
              
              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 1415, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 991, in stream_convert_to_parquet
                  builder._prepare_split(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1741, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1897, 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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text string
399172782_fear_23989\|text
399172782_sad_69738\|text
399172782_happy_20590\|text
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399172782_happy_62258\|text
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399172782_neutral_54621\|text
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399172782_neutral_43668\|text
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399172782_neutral_20834\|text
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399172782_surprise_72346\|text
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399172782_fear_56488\|text
399172782_neutral_72596\|text
399172782_surprise_26735\|text
399172782_happy_57582\|text
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399172782_surprise_45284\|text
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399172782_fear_69839\|text
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399172782_sad_45494\|text
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399172782_surprise_25680\|text
399172782_happy_49468\|text
399172782_sad_45267\|text
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399172782_surprise_72340\|text
399172782_angry_49376\|text
399172782_happy_25459\|text
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399172782_angry_19718\|text

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YAML Metadata Warning: empty or missing yaml metadata in repo card (https://huggingface.co/docs/hub/datasets-cards)

KazEmoTTS: A Kazakh Emotional Text-to-Speech Dataset

Summary:

The KazEmoTTS dataset is a large-scale resource for emotional text-to-speech (TTS) in the Kazakh language. It comprises 54,760 audio-text pairs totaling 74.85 hours of speech data. The dataset includes six emotions: neutral, angry, happy, sad, scared, and surprised. The recordings were contributed by three narrators (one female, two male). A TTS model trained on this dataset achieved Mean Character Distance (MCD) scores between 6.02 and 7.67 and Mean Opinion Score (MOS) values between 3.51 and 3.57, demonstrating its effectiveness. The associated code and pre-trained model are publicly available (link to GitHub repository not provided due to 404 error).

Dataset Statistics:

Statistic	Value
Number of Samples	54,760
Total Duration	74.85 hours
Female Narrator	34.23 hours
Male Narrators	40.62 hours
Emotions	Neutral, Angry, Happy, Sad, Scared, Surprised
MCD Score	6.02 - 7.67
MOS Score	3.51 - 3.57

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