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license: mit |
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# πΆ Barkopedia Challenge Dataset |
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[π Barkopedia Website](https://uta-acl2.github.io/Barkopedia/) |
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## π¦ Dataset Description |
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This challenge provides a labeled dataset of dog bark audio clips for understanding the **arousal** and **valence** of emotional state from sound. |
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### π Current Release |
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- **Training Set** |
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- Includes: |
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- `train/husky` and `train/shiba` contain all training audio clips for each of the two breeds |
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- `husky_train_labels.csv` and `shiba_train_labels.csv` contain labels for all training audio clips |
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- Total: **1000** training audio clips (500 for each breed) |
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- **Test Set** |
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- To be released in **June** |
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- Will contain **200** audio clips |
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- **50% public (100 clips)** β used for live leaderboard updates |
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- **50% private (100 clips)** β used for final evaluation |
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## π Labels |
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Each clip is annotated with **one arousal** and **one valence** category. |
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### π― Arousal Categories (`arousal`) |
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- `Low` |
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- `Medium` |
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- `High` |
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### π Valence Categories (`valence`) |
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- `Negative` |
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- `Neutral` |
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- `Positive` |
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## π Submission & Leaderboard |
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All competition data, result submission, and the live leaderboard are hosted on **[Hugging Face](https://huggingface.co/)**. |
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If you donβt have a Hugging Face account yet, please [register here](https://huggingface.co/join). |
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π *Stay tuned for the test set release in June and leaderboard launch!* |
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