---
dataset:
  name: Animal Sound Classification Dataset
  dataset_type: audio-classification
  license: mit
  annotations_creators:
    - expert-generated
  language:
    - no-linguistic-content
  task_categories:
    - audio-classification
  pretty_name: Animal Sound Classification
  size_categories:
    - 1<n<1.1K
  tags:
    - animal-sounds
    - audio
    - sound-classification
    - environmental-sounds
    - MFCC
    - open-dataset
    - sound-recognition
  dataset_info:
    features:
      - name: audio
        type: audio
      - name: label
        type: string
    splits:
      - name: train
        num_bytes: TO_BE_FILLED
        num_examples: TO_BE_FILLED
  creators:
    - name: Muhammad Qasim
      url: https://github.com/MuhammadQasim111
license: mit
pretty_name: Animal Sound Classification
---

# 🐾 Animal Sound Classification Dataset

> **A meticulously handcrafted dataset of labeled animal sounds for Machine Learning & Audio Classification tasks.**  
> **Built with love, precision, and open-source spirit.**

---

## 📖 Dataset Details

### 📝 Dataset Description
The **Animal Sound Classification Dataset** contains curated audio clips of **dogs, cats, cows**, and more, extracted from longer recordings and meticulously trimmed to create clean, high-quality sound samples.

Over a period of **two months**, I manually processed, trimmed, and labeled each audio file. I also prepared the dataset for ML pipelines by extracting **MFCC (Mel-Frequency Cepstral Coefficients)** features to ensure seamless integration for developers and researchers.

ALL THE HECTIC WORK OF MINE IS SERVED TO YOU ON A DISH, FOR FREE OF COST!

- **Curated by:** Muhammad Qasim
- **Funded by:** Self-initiated Open-Source Project
- **License:** MIT License
- **Language(s):** Non-linguistic (animal sounds)

---

## 🔗 Dataset Sources

- **Repository:** [Hugging Face Link](https://huggingface.co/datasets/MuhammadQASIM111/Animal_Sound_Classification)

---

## 🚀 Uses

### ✅ Direct Use
- Audio classification model training.
- Sound recognition AI systems.
- Educational apps that teach animal sounds.
- Wildlife and livestock sound monitoring AI.

### 🚫 Out-of-Scope Use
- Speech Recognition tasks.
- Use in sensitive environments without proper augmentation.
- Misuse for deceptive simulations.

---

## 🗂️ Dataset Structure

| Field Name | Type   | Description                        |
|------------|--------|------------------------------------|
| audio      | Audio  | The sound clip (.wav file)         |
| label      | String | Animal class label (e.g., "dog")   |

### Folder Structure
```bash
animal-sounds-dataset/
├── data/
│   ├── dog_bark_1.wav
│   ├── cat_meow_2.wav
│   ├── cow_moo_3.wav
│   
├── dataset.py
├── dataset_infos.json
└── README.md