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.

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🔖 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)

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🛠️ Setup Instructions

You need to merge the training splits (train_0, train_1, train_2) into a single directory by running the provided script:

python merge_train_set.py