---
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@unpublished{vocsim2025,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}
}
```