Update README.md

README.md

@@ -1,35 +1,31 @@
-# 🌍 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
+---
+annotations_creators:
+  - expert-generated
+language:
+  - en
+  - es
+  - hi
+  - zh
+  - ar
+  - fr
+  - de
+  - ru
+  - pt
+  - ja
+  - ko
+license: "mit"
+multilinguality:
+  - multilingual
+size_categories:
+  - 1K<n<10K
+source_datasets:
+  - original
+task_categories:
+  - text-classification
+task_ids:
+  - language-identification
+---
 
-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
+# 🌍 World Languages Dataset
 
-dataset = load_dataset("PSivaMallikarjun/world-languages-dataset")
-print(dataset)
+This dataset contains a list of official and unofficial languages categorized by language families...