Datasetpublic

MuhammadQASIM111/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.… See the full description on the dataset page: https://huggingface.co/datasets/MuhammadQASIM111/Animal_Sound_Classification.

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Dataset Card

🐾 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.

—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

🚀 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

Data Instances

Field Name	Type	Description
filename	string	Name of the audio file
mfcc_1	float64	First MFCC feature
mfcc_2	float64	Second MFCC feature
...	...	...
mfcc_13	float64	Thirteenth MFCC feature

Data Fields

—filename: Name of the audio file.
—mfcc_1 to mfcc_13: Mel-frequency cepstral coefficients (MFCCs) extracted from the audio files.

Data Splits

Split	Number of Examples	Total Size
Train	1045	114.4 KB

📥 Dataset Creation

Curation Rationale

The dataset was created to facilitate research and development in the field of audio classification, particularly focusing on animal sounds. The goal is to provide a high-quality, ready-to-use dataset for machine learning practitioners and researchers.

Source Data

Initial Data Collection and Normalization

—Data Collection: Audio clips were collected from various sources and manually trimmed to isolate individual animal sounds.
—Annotations: Each audio clip was labeled with the corresponding animal class.
—Who are the annotators? The annotations were generated by an expert.