upload test set

README.md

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 ---
 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.
+
+---

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