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Add comprehensive README with usage examples

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  1. README.md +15 -71
README.md CHANGED
@@ -4,22 +4,8 @@ task_categories:
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  - question-answering
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  - text-generation
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  language:
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- - as
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- - bn
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- - en
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- - gu
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- - hi
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- - ks
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- - mai
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- - ml
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- - mni
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- - mr
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- - ne
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- - or
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- - pa
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- - sat
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- - ta
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- - te
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  multilinguality: multilingual
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  size_categories:
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  - 1M<n<10M
@@ -32,43 +18,15 @@ tags:
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  - wikipedia
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  pretty_name: "Multilingual Indic RAG Suite"
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  configs:
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- - config_name: as
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- data_files: data/as_data.parquet
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- - config_name: bn
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- data_files: data/bn_data.parquet
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- - config_name: en
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- data_files: data/en_data.parquet
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- - config_name: gu
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- data_files: data/gu_data.parquet
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- - config_name: hi
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- data_files: data/hi_data.parquet
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- - config_name: ks
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- data_files: data/ks_data.parquet
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- - config_name: mai
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- data_files: data/mai_data.parquet
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- - config_name: ml
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- data_files: data/ml_data.parquet
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- - config_name: mni
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- data_files: data/mni_data.parquet
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- - config_name: mr
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- data_files: data/mr_data.parquet
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- - config_name: ne
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- data_files: data/ne_data.parquet
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- - config_name: or
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- data_files: data/or_data.parquet
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- - config_name: pa
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- data_files: data/pa_data.parquet
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- - config_name: sat
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- data_files: data/sat_data.parquet
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- - config_name: ta
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- data_files: data/ta_data.parquet
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- - config_name: te
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- data_files: data/te_data.parquet
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  ---
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  # 🌏 Multilingual Indic RAG Suite
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- A comprehensive multilingual question-answering dataset covering **16 Indian languages** with **20,125,799 total samples**, designed for RAG (Retrieval-Augmented Generation) applications and multilingual NLP research.
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  ## πŸš€ Quick Start
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@@ -76,7 +34,7 @@ A comprehensive multilingual question-answering dataset covering **16 Indian lan
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  from datasets import load_dataset
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  # Load specific language (recommended)
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- dataset = load_dataset("ai4bharat/Indic-Rag-Suite", "as")
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  train_data = dataset['train']
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  print(f"Loaded {len(train_data)} samples")
@@ -90,31 +48,17 @@ for example in train_data[:2]:
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  ## πŸ“Š Dataset Overview
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- ### Available Languages (16 total)
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  | Code | Language | Load Command |
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  |------|----------|--------------|
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- | `as` | Assamese | `load_dataset('ai4bharat/Indic-Rag-Suite', 'as')` |
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- | `bn` | Bengali | `load_dataset('ai4bharat/Indic-Rag-Suite', 'bn')` |
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- | `en` | English | `load_dataset('ai4bharat/Indic-Rag-Suite', 'en')` |
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- | `gu` | Gujarati | `load_dataset('ai4bharat/Indic-Rag-Suite', 'gu')` |
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- | `hi` | Hindi | `load_dataset('ai4bharat/Indic-Rag-Suite', 'hi')` |
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- | `ks` | Kashmiri | `load_dataset('ai4bharat/Indic-Rag-Suite', 'ks')` |
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- | `mai` | Maithili | `load_dataset('ai4bharat/Indic-Rag-Suite', 'mai')` |
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- | `ml` | Malayalam | `load_dataset('ai4bharat/Indic-Rag-Suite', 'ml')` |
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- | `mni` | Manipuri | `load_dataset('ai4bharat/Indic-Rag-Suite', 'mni')` |
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- | `mr` | Marathi | `load_dataset('ai4bharat/Indic-Rag-Suite', 'mr')` |
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- | `ne` | Nepali | `load_dataset('ai4bharat/Indic-Rag-Suite', 'ne')` |
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- | `or` | Odia | `load_dataset('ai4bharat/Indic-Rag-Suite', 'or')` |
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- | `pa` | Punjabi | `load_dataset('ai4bharat/Indic-Rag-Suite', 'pa')` |
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- | `sat` | Santali | `load_dataset('ai4bharat/Indic-Rag-Suite', 'sat')` |
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- | `ta` | Tamil | `load_dataset('ai4bharat/Indic-Rag-Suite', 'ta')` |
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- | `te` | Telugu | `load_dataset('ai4bharat/Indic-Rag-Suite', 'te')` |
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  ### Dataset Statistics
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- - **Total Samples**: 20,125,799
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- - **Languages**: 16
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  - **Source**: Wikipedia + Llama 3.3 70B
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  - **Task**: Question Answering with Reasoning
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@@ -160,6 +104,6 @@ for lang in languages:
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  ---
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  **Dataset URL**: https://huggingface.co/datasets/ai4bharat/Indic-Rag-Suite
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- **Total Samples**: 20,125,799
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- **Languages**: 16
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  **Last Updated**: 2025-06-07
 
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  - question-answering
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  - text-generation
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  language:
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+ - kn
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+ - ur
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  multilinguality: multilingual
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  size_categories:
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  - 1M<n<10M
 
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  - wikipedia
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  pretty_name: "Multilingual Indic RAG Suite"
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  configs:
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+ - config_name: kn
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+ data_files: data/kn_data.parquet
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+ - config_name: ur
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+ data_files: data/ur_data.parquet
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # 🌏 Multilingual Indic RAG Suite
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+ 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.
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  ## πŸš€ Quick Start
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  from datasets import load_dataset
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  # Load specific language (recommended)
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+ dataset = load_dataset("ai4bharat/Indic-Rag-Suite", "kn")
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  train_data = dataset['train']
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  print(f"Loaded {len(train_data)} samples")
 
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  ## πŸ“Š Dataset Overview
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+ ### Available Languages (2 total)
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  | Code | Language | Load Command |
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  |------|----------|--------------|
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+ | `kn` | Kannada | `load_dataset('ai4bharat/Indic-Rag-Suite', 'kn')` |
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+ | `ur` | Urdu | `load_dataset('ai4bharat/Indic-Rag-Suite', 'ur')` |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Dataset Statistics
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+ - **Total Samples**: 1,314,087
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+ - **Languages**: 2
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  - **Source**: Wikipedia + Llama 3.3 70B
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  - **Task**: Question Answering with Reasoning
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  ---
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  **Dataset URL**: https://huggingface.co/datasets/ai4bharat/Indic-Rag-Suite
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+ **Total Samples**: 1,314,087
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+ **Languages**: 2
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  **Last Updated**: 2025-06-07