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## Dataset Description
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This dataset is used in the **VocSim benchmark** paper for evaluating the ability of neural audio embeddings to identify individual mice based on their ultrasonic vocalization (USV) syllables. It contains pre-segmented USV syllables from multiple individual mice, derived from recordings
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The primary task associated with this dataset is supervised classification: training a model to predict the correct mouse identity (`speaker` field) given an audio input (a single syllable) or its derived features.
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## Dataset Description
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This dataset is used in the **VocSim benchmark** paper for evaluating the ability of neural audio embeddings to identify individual mice based on their ultrasonic vocalization (USV) syllables. It contains pre-segmented USV syllables from multiple individual mice, derived from recordings created by **Van Segbroeck et al. (2017)**.
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The primary task associated with this dataset is supervised classification: training a model to predict the correct mouse identity (`speaker` field) given an audio input (a single syllable) or its derived features.
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