---
license: mit
task_categories:
- audio-classification
language:
- en
tags:
- biology
- dog
pretty_name: Barkopedia_Individual_Dog_Recognition_Dataset
size_categories:
- 1K<n<10K
---

This dataset is for Barkopedia Challenge [https://uta-acl2.github.io/barkopedia.html](https://uta-acl2.github.io/barkopedia.html)
## 📦 Dataset Description


Check Training Data here: [ArlingtonCL2/Barkopedia_Individual_Dog_Recognition_Dataset](https://huggingface.co/datasets/ArlingtonCL2/Barkopedia_Individual_Dog_Recognition_Dataset/)

This challenge provides a dataset of labeled dog bark audio clips:
8924
- **Training set**: 7137 clips (~120 clips per 60 dog IDs).
- **Test set**: 1787 clips (~30 clips per 60 dog IDs) with hidden labels:
  - **709 public (~40%)** for live leaderboard updates.
  - **1078 private (~60%)** for final evaluation.
*You will have access to all 1787 clips in the Dataset, the result of the 709 public clips will show the evaluation result.*

### 🔖 Labels
Each clip is annotated with:
a dog id from index number 1-60.

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 contains the following columns:

* **audio_id**: The filename of the dog bark audio clip (e.g., "bark_752352").
* **pred_dog_id**: The ID of the dog that the bark belongs to (an integer between 1 and 60).

For example, a row with `audio_id` as "bark_2408" and `pred_dog_id` as "17" indicates that the audio clip "bark_2408.wav" contains a bark from dog number 17.

---