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Fix docstring
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@ -13,6 +13,7 @@ def split_dataset(items, eval_split_max_size=None, eval_split_size=0.01):
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"""Split a dataset into train and eval. Consider speaker distribution in multi-speaker training.
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"""Split a dataset into train and eval. Consider speaker distribution in multi-speaker training.
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Args:
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Args:
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<<<<<<< HEAD
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items (List[List]):
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items (List[List]):
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A list of samples. Each sample is a list of `[audio_path, text, speaker_id]`.
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A list of samples. Each sample is a list of `[audio_path, text, speaker_id]`.
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@ -22,6 +23,9 @@ def split_dataset(items, eval_split_max_size=None, eval_split_size=0.01):
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eval_split_size (float):
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eval_split_size (float):
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If between 0.0 and 1.0 represents the proportion of the dataset to include in the evaluation set.
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If between 0.0 and 1.0 represents the proportion of the dataset to include in the evaluation set.
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If > 1, represents the absolute number of evaluation samples. Defaults to 0.01 (1%).
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If > 1, represents the absolute number of evaluation samples. Defaults to 0.01 (1%).
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=======
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items (List[List]): A list of samples. Each sample is a list of `[text, audio_path, speaker_id]`.
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>>>>>>> Fix docstring
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"""
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"""
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speakers = [item["speaker_name"] for item in items]
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speakers = [item["speaker_name"] for item in items]
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is_multi_speaker = len(set(speakers)) > 1
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is_multi_speaker = len(set(speakers)) > 1
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@ -68,7 +72,7 @@ def load_tts_samples(
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formatter (Callable, optional): The preprocessing function to be applied to create the list of samples. It
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formatter (Callable, optional): The preprocessing function to be applied to create the list of samples. It
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must take the root_path and the meta_file name and return a list of samples in the format of
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must take the root_path and the meta_file name and return a list of samples in the format of
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`[[audio_path, text, speaker_id], ...]]`. See the available formatters in `TTS.tts.dataset.formatter` as
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`[[text, audio_path, speaker_id], ...]]`. See the available formatters in `TTS.tts.dataset.formatter` as
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example. Defaults to None.
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example. Defaults to None.
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eval_split_max_size (int):
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eval_split_max_size (int):
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