Update README.md

README.md

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-license: mit
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+# 🌍 World Languages Dataset
+
+This dataset contains a list of official and unofficial languages categorized by language families. It provides valuable data for linguistic analysis, NLP applications, and cultural studies.
+
+## 📂 Dataset Structure
+
+| Language Family       | Language   |
+|----------------------|------------|
+| Indo-European       | English, Spanish, Hindi, Bengali, Portuguese, Russian, German, French, Italian, Marathi |
+| Sino-Tibetan        | Mandarin Chinese, Cantonese, Burmese, Tibetan, Hakka |
+| Afro-Asiatic        | Arabic, Hebrew, Amharic, Hausa |
+| Niger-Congo        | Swahili, Yoruba, Igbo, Zulu |
+| Austronesian        | Tagalog (Filipino), Malay, Javanese, Malagasy |
+| Dravidian           | Tamil, Telugu, Kannada, Malayalam |
+| Turkic              | Turkish, Uzbek, Kazakh, Tatar |
+| Uralic              | Finnish, Hungarian, Estonian |
+| Japonic & Koreanic  | Japanese, Korean |
+| Indigenous & Other  | Quechua, Navajo, Basque, Ainu, Sami |
+
+## 📊 Data Format
+
+The dataset is stored in **CSV** format with the following columns:
+
+- **Language Family**: The classification of the language.
+- **Language Name**: The individual language names.
+
+## 🚀 Usage
+
+You can load this dataset in Python using the Hugging Face `datasets` library:
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("PSivaMallikarjun/world-languages-dataset")
+print(dataset)