Merge branch 'main' of https://huggingface.co/datasets/ArlingtonCL2/Barkopedia_Dog_Sex_Classification_Dataset

README.md

@@ -1,63 +1,63 @@
----
-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:
-**29,347 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**: **2,452** clips
-  - 1,272 female
-  - 1,180 male
-  - Among these,
-    - **980 clips (~40%)** are used for public leaderboard evaluation
-    - **1,472 clips (~60%)** are used for final private leaderboard evaluation
-    - The full 2,452 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 the dataset curators.
-
-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
+---
+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
 ```