anonymous-submission000/mouse-strain-classification-benchmark

Dataset Card for VocSim - Mouse Strain Classification

Dataset Description

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.

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.

Dataset Structure

Data Instances

A typical example in the dataset looks like this:

{
  'audio': {'path': '/path/to/datasets/mouse_strain/C57/C57_file_001.wav', 'array': array([...], dtype=float32), 'sampling_rate': 250000},
  'subset': 'mouse_strain',
  'index': 101,
  'speaker': 'C57_file_001', # Example speaker/file ID
  'label': 'C57', # The crucial strain label
  'original_name': 'C57/C57_file_001.wav' # Example original relative path
}

Citation Information

@unpublished{vocsim2025,
  title={VocSim: A Training-Free Benchmark for Content Identity in Single-Source Audio Embeddings},
  author={Anonymous},
  year={2025},
  note={Submitted manuscript} 
}

@article{VanSegbroeck2017,
    author = {Van Segbroeck, Maarten and Knoll, Aaron T. and Levitt, Patricia and Narayanan, Shrikanth},
    title = "{MUPET}-Mouse Ultrasonic Profile ExTraction: A Signal Processing Tool for Rapid and Unsupervised Analysis of Ultrasonic Vocalizations",
    journal = {Neuron},
    volume = {94},
    number = {3},
    pages = {465--485.e5},
    year = {2017},
    doi = {10.1016/j.neuron.2017.04.018}
}

@misc{mupetwiki2019,
    author = {{Van Segbroeck}, Maarten and Knoll, Aaron T. and Levitt, Patricia and Narayanan, Shrikanth},
    title = {MUPET Wiki},
    year = {2019},
    howpublished = {\url{https://github.com/mvansegbroeck/mupet/wiki/MUPET-wiki}},
    note = {Accessed: 2025}
}