Add comprehensive README with usage examples

README.md

@@ -4,7 +4,23 @@ task_categories:
   - question-answering
   - text-generation
 language:
+  - as
+  - bn
+  - en
+  - gu
+  - hi
   - kn
+  - ks
+  - mai
+  - ml
+  - mni
+  - mr
+  - ne
+  - or
+  - pa
+  - sat
+  - ta
+  - te
   - ur
 multilinguality: multilingual
 size_categories:
@@ -18,15 +34,47 @@ tags:
   - wikipedia
 pretty_name: "Multilingual Indic RAG Suite"
 configs:
+  - config_name: as
+    data_files: data/as_data.parquet
+  - config_name: bn
+    data_files: data/bn_data.parquet
+  - config_name: en
+    data_files: data/en_data.parquet
+  - config_name: gu
+    data_files: data/gu_data.parquet
+  - config_name: hi
+    data_files: data/hi_data.parquet
   - config_name: kn
     data_files: data/kn_data.parquet
+  - config_name: ks
+    data_files: data/ks_data.parquet
+  - config_name: mai
+    data_files: data/mai_data.parquet
+  - config_name: ml
+    data_files: data/ml_data.parquet
+  - config_name: mni
+    data_files: data/mni_data.parquet
+  - config_name: mr
+    data_files: data/mr_data.parquet
+  - config_name: ne
+    data_files: data/ne_data.parquet
+  - config_name: or
+    data_files: data/or_data.parquet
+  - config_name: pa
+    data_files: data/pa_data.parquet
+  - config_name: sat
+    data_files: data/sat_data.parquet
+  - config_name: ta
+    data_files: data/ta_data.parquet
+  - config_name: te
+    data_files: data/te_data.parquet
   - config_name: ur
     data_files: data/ur_data.parquet
 ---
 
 # 🌏 Multilingual Indic RAG Suite
 
-A comprehensive multilingual question-answering dataset covering **2 Indian languages** with **1,314,087 total samples**, designed for RAG (Retrieval-Augmented Generation) applications and multilingual NLP research.
+A comprehensive multilingual question-answering dataset covering **18 Indian languages** with **21,439,886 total samples**, designed for RAG (Retrieval-Augmented Generation) applications and multilingual NLP research.
 
 ## 🚀 Quick Start
 
@@ -34,7 +82,7 @@ A comprehensive multilingual question-answering dataset covering **2 Indian lang
 from datasets import load_dataset
 
 # Load specific language (recommended)
-dataset = load_dataset("ai4bharat/Indic-Rag-Suite", "kn")
+dataset = load_dataset("ai4bharat/Indic-Rag-Suite", "as")
 train_data = dataset['train']
 
 print(f"Loaded {len(train_data)} samples")
@@ -48,17 +96,33 @@ for example in train_data[:2]:
 
 ## 📊 Dataset Overview
 
-### Available Languages (2 total)
+### Available Languages (18 total)
 
 | Code | Language | Load Command |
 |------|----------|--------------|
+| `as` | Assamese | `load_dataset('ai4bharat/Indic-Rag-Suite', 'as')` |
+| `bn` | Bengali | `load_dataset('ai4bharat/Indic-Rag-Suite', 'bn')` |
+| `en` | English | `load_dataset('ai4bharat/Indic-Rag-Suite', 'en')` |
+| `gu` | Gujarati | `load_dataset('ai4bharat/Indic-Rag-Suite', 'gu')` |
+| `hi` | Hindi | `load_dataset('ai4bharat/Indic-Rag-Suite', 'hi')` |
 | `kn` | Kannada | `load_dataset('ai4bharat/Indic-Rag-Suite', 'kn')` |
+| `ks` | Kashmiri | `load_dataset('ai4bharat/Indic-Rag-Suite', 'ks')` |
+| `mai` | Maithili | `load_dataset('ai4bharat/Indic-Rag-Suite', 'mai')` |
+| `ml` | Malayalam | `load_dataset('ai4bharat/Indic-Rag-Suite', 'ml')` |
+| `mni` | Manipuri | `load_dataset('ai4bharat/Indic-Rag-Suite', 'mni')` |
+| `mr` | Marathi | `load_dataset('ai4bharat/Indic-Rag-Suite', 'mr')` |
+| `ne` | Nepali | `load_dataset('ai4bharat/Indic-Rag-Suite', 'ne')` |
+| `or` | Odia | `load_dataset('ai4bharat/Indic-Rag-Suite', 'or')` |
+| `pa` | Punjabi | `load_dataset('ai4bharat/Indic-Rag-Suite', 'pa')` |
+| `sat` | Santali | `load_dataset('ai4bharat/Indic-Rag-Suite', 'sat')` |
+| `ta` | Tamil | `load_dataset('ai4bharat/Indic-Rag-Suite', 'ta')` |
+| `te` | Telugu | `load_dataset('ai4bharat/Indic-Rag-Suite', 'te')` |
 | `ur` | Urdu | `load_dataset('ai4bharat/Indic-Rag-Suite', 'ur')` |
 
 
 ### Dataset Statistics
-- **Total Samples**: 1,314,087
-- **Languages**: 2
+- **Total Samples**: 21,439,886
+- **Languages**: 18
 - **Source**: Wikipedia + Llama 3.3 70B
 - **Task**: Question Answering with Reasoning
 
@@ -104,6 +168,6 @@ for lang in languages:
 ---
 
 **Dataset URL**: https://huggingface.co/datasets/ai4bharat/Indic-Rag-Suite  
-**Total Samples**: 1,314,087  
-**Languages**: 2  
+**Total Samples**: 21,439,886  
+**Languages**: 18  
 **Last Updated**: 2025-06-07