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---
dataset_info:
features:
- name: audio
dtype:
audio:
sampling_rate: 250000
- name: label
dtype: string
- name: subset
dtype: string
- name: index
dtype: int64
- name: speaker
dtype: string
- name: original_name
dtype: string
splits:
- name: train
num_bytes: 2083205598.525
num_examples: 31475
download_size: 1250386212
dataset_size: 2083205598.525
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# 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:
```python
{
'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@unpublished{vocsim2025,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}
}
```