Datasets:
Add comprehensive README with usage examples
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README.md
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- question-answering
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- text-generation
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language:
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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
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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:
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data_files: data/
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- config_name:
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data_files: data/
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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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# π Multilingual Indic RAG Suite
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A comprehensive multilingual question-answering dataset covering **
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## π 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", "
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train_data = dataset['train']
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print(f"Loaded {len(train_data)} samples")
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## π Dataset Overview
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### Available Languages (
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| Code | Language | Load Command |
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|------|----------|--------------|
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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**:
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- **Languages**:
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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**:
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**Languages**:
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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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# π 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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## π 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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## π 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
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