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README.md
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- split: train
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path: data/train-*
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- split: train
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path: data/train-*
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---
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# Dataset Card for VocSim - Mouse Strain Classification
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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 distinguish between mouse strains based on their ultrasonic vocalizations (USVs). It contains recordings from C57BL/6J (C57) and DBA/2J (DBA) mouse strains.
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The primary task associated with this dataset is supervised classification: training a model to predict the correct strain (`label` field) given an audio input or its derived features.
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## Dataset Structure
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### Data Instances
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A typical example in the dataset looks like this:
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```python
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{
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'audio': {'path': '/path/to/datasets/mouse_strain/C57/C57_file_001.wav', 'array': array([...], dtype=float32), 'sampling_rate': 250000},
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'subset': 'mouse_strain',
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'index': 101,
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'speaker': 'C57_file_001', # Example speaker/file ID
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'label': 'C57', # The crucial strain label
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'original_name': 'C57/C57_file_001.wav' # Example original relative path
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}
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```
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### Citation Information
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```
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@unpublished{vocsim2025,
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title={VocSim: Zero-Shot Audio Similarity Benchmark for Neural Embeddings},
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author={Anonymous},
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year={2025},
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note={Submitted manuscript}
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}
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@article{VanSegbroeck2017,
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author = {Van Segbroeck, Maarten and Knoll, Aaron T. and Levitt, Patricia and Narayanan, Shrikanth},
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title = "{MUPET}-Mouse Ultrasonic Profile ExTraction: A Signal Processing Tool for Rapid and Unsupervised Analysis of Ultrasonic Vocalizations",
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journal = {Neuron},
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volume = {94},
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number = {3},
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pages = {465--485.e5},
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year = {2017},
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doi = {10.1016/j.neuron.2017.04.018}
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}
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@misc{mupetwiki2019,
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author = {{Van Segbroeck}, Maarten and Knoll, Aaron T. and Levitt, Patricia and Narayanan, Shrikanth},
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title = {MUPET Wiki},
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year = {2019},
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howpublished = {\url{https://github.com/mvansegbroeck/mupet/wiki/MUPET-wiki}},
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note = {Accessed: 2025}
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}
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```
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