Update README.md

README.md

@@ -1,7 +1,7 @@
 ---
-dataset:
+dataset_info:
   name: Animal Sound Classification Dataset
-  dataset_type: audio-classification
+  type: audio-classification
   license: mit
   annotations_creators:
     - expert-generated
@@ -10,8 +10,7 @@ dataset:
   task_categories:
     - audio-classification
   pretty_name: Animal Sound Classification
-  size_categories:
-    - 1<n<1.1K
+  size_categories: 1K<n<10K
   tags:
     - animal-sounds
     - audio
@@ -20,26 +19,48 @@ dataset:
     - 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
+  features:
+    - name: filename
+      type: string
+    - name: mfcc_1
+      type: float64
+    - name: mfcc_2
+      type: float64
+    - name: mfcc_3
+      type: float64
+    - name: mfcc_4
+      type: float64
+    - name: mfcc_5
+      type: float64
+    - name: mfcc_6
+      type: float64
+    - name: mfcc_7
+      type: float64
+    - name: mfcc_8
+      type: float64
+    - name: mfcc_9
+      type: float64
+    - name: mfcc_10
+      type: float64
+    - name: mfcc_11
+      type: float64
+    - name: mfcc_12
+      type: float64
+    - name: mfcc_13
+      type: float64
+  splits:
+    - name: train
+      num_bytes: 114400
+      num_examples: 1045
   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.**  
+> **A meticulously handcrafted dataset of labeled animal sounds for Machine Learning & Audio Classification tasks.**
 > **Built with love, precision, and open-source spirit.**
 
 ---
@@ -47,11 +68,8 @@ pretty_name: Animal Sound Classification
 ## 📖 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!
+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
@@ -69,12 +87,14 @@ ALL THE HECTIC WORK OF MINE IS SERVED TO YOU ON A DISH, FOR FREE OF COST!
 ## 🚀 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
+### ❌ Out-of-Scope Use
+
 - Speech Recognition tasks.
 - Use in sensitive environments without proper augmentation.
 - Misuse for deceptive simulations.
@@ -83,19 +103,58 @@ ALL THE HECTIC WORK OF MINE IS SERVED TO YOU ON A DISH, FOR FREE OF COST!
 
 ## 🗂️ 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
+### 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.
+
+### Personal and Sensitive Information
+
+The dataset does not contain any personal or sensitive information.
+
+---
+
+## 📜 Additional Information
+
+### Dataset Curators
+
+Muhammad Qasim
+
+### Licensing Information
+
+MIT License
+
+### Citation Information
+