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bug fix
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@@ -75,7 +75,7 @@ def split_dataset(items):
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is_multi_speaker = len(set(speakers)) > 1
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eval_split_size = 500 if len(items) * 0.01 > 500 else int(
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len(items) * 0.01)
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assert len(eval_split_size) > 0, " [!] You do not have enough samples to train. You need at least 100 samples."
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assert eval_split_size > 0, " [!] You do not have enough samples to train. You need at least 100 samples."
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np.random.seed(0)
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np.random.shuffle(items)
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if is_multi_speaker:
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