README.md

---
license: mit
task_categories:
- audio-classification
language:
- en
tags:
- biology
- dog
pretty_name: BpAE
size_categories:
- 10K<n<100K
---

## 📦 Dataset Description

This dataset is part of the **Barkopedia Challenge**: [https://uta-acl2.github.io/barkopedia.html](https://uta-acl2.github.io/barkopedia.html)

Check training data on Hugging Face:
👉 [ArlingtonCL2/Barkopedia_Dog_Sex_Classification_Dataset](https://huggingface.co/datasets/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 (train_0, train_1, train_2) into a single directory by running the provided script:

```bash
python merge_train_set.py
```