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@@ -182,7 +182,7 @@ HALAS is intended as a benchmark for:
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  ## Dataset Details
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- The dataset contains **3,611 audio files** from the Earnings22 dataset with manually verified and corrected annotations.
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  For each audio segment, predictions from multiple state-of-the-art ASR models were collected and independently reviewed by human annotators. Hallucinated spans, looping errors, and hallucination-looping errors were labeled at the text-span level.
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@@ -356,8 +356,8 @@ Additionally, all reference transcripts were revalidated and corrected by the ar
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  | Split | Files |
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  |---------|---------|
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- | Train | 2,866 |
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- | Test | 745 |
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  The train/test partition was created by:
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  ## Dataset Details
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+ The dataset contains **3,607 audio files** from the Earnings22 dataset with manually verified and corrected annotations.
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  For each audio segment, predictions from multiple state-of-the-art ASR models were collected and independently reviewed by human annotators. Hallucinated spans, looping errors, and hallucination-looping errors were labeled at the text-span level.
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  | Split | Files |
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  |---------|---------|
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+ | Train | 2,863 |
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+ | Test | 744 |
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  The train/test partition was created by:
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