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--- |
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dataset_info: |
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features: |
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- name: audio |
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dtype: |
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audio: |
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sampling_rate: 250000 |
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- name: label |
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dtype: string |
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- name: subset |
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dtype: string |
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- name: index |
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dtype: int64 |
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- name: speaker |
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dtype: string |
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- name: original_name |
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dtype: string |
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splits: |
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|
- name: train |
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|
num_bytes: 2083205598.525 |
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num_examples: 31475 |
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download_size: 1250386212 |
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dataset_size: 2083205598.525 |
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configs: |
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- config_name: default |
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data_files: |
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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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|
``` |
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|
@unpublished{vocsim2025, |
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title={VocSim: A Training-Free Benchmark for Content Identity in Single-Source Audio 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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``` |