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license: mit
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# 🐶 Barkopedia Challenge Dataset
[🔗 Barkopedia Website](https://uta-acl2.github.io/Barkopedia/)
## 📦 Dataset Description
This challenge provides a labeled dataset of dog bark audio clips for understanding the **arousal** and **valence** of emotional state from sound.
### 📁 Current Release
- **Training Set**
- Includes:
- `train/husky` and `train/shiba` contain all training audio clips for each of the two breeds
- `husky_train_labels.csv` and `shiba_train_labels.csv` contain labels for all training audio clips
- Total: **1000** training audio clips (500 for each breed)
- **Test Set**
- To be released in **June**
- Will contain **200** audio clips
- **50% public (100 clips)** — used for live leaderboard updates
- **50% private (100 clips)** — used for final evaluation
## 🔖 Labels
Each clip is annotated with **one arousal** and **one valence** category.
### 🎯 Arousal Categories (`arousal`)
- `Low`
- `Medium`
- `High`
### 🌍 Valence Categories (`valence`)
- `Negative`
- `Neutral`
- `Positive`
## 🚀 Submission & Leaderboard
All competition data, result submission, and the live leaderboard are hosted on **[Hugging Face](https://huggingface.co/)**.
If you don’t have a Hugging Face account yet, please [register here](https://huggingface.co/join).
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📌 *Stay tuned for the test set release in June and leaderboard launch!*
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