ArlingtonCL2/Barkopedia_Dog_Sex_Classification_Dataset

📦 Dataset Description

This dataset is part of the Barkopedia Challenge: https://uta-acl2.github.io/barkopedia.html

Check training data on Hugging Face: 👉 ArlingtonCL2/Barkopedia_Dog_Sex_Classification_Dataset

This challenge provides a dataset of labeled dog bark audio clips: 29,345 total clips of vocalizations from 156 individual dogs across 5 breeds:

• —Shiba Inu
• —Husky
• —Chihuahua
• —German Shepherd
• —Pitbull

• —Training set: 26,895 clips
• —13,567 female
• —13,328 male
• —Test set: 2,450 clips
• —1,271 female
• —1,179 male
• —Among these,
• —980 clips (~40%) are used for public leaderboard evaluation
• —1,470 clips (~60%) are used for final private leaderboard evaluation
• —The full 2,450 evaluation clips are included in the dataset, but only public clips yield visible scores.

🔖 Labels

Each audio clip is annotated with the sex of the dog (male or female).

The labels were manually generated and verified by us.

The train_labels.csv file provides the ground truth (correct labels) for the training set. It includes:

• —audio_id: The filename of the dog bark audio clip (e.g., bark_2408)
• —pred_dog_sex: The annotated sex of the dog (male or female)

🛠️ Setup Instructions

You need to merge the training splits (train0, train1, train_2) into a single directory by running the provided script:

python merge_train_set.py