IndicRAGSuite: Large-Scale Datasets and a Benchmark for Indian Language RAG Systems

• URL: http://arxiv.org/abs/2506.01615v2
• Date: Tue, 03 Jun 2025 12:38:27 GMT
• Title: IndicRAGSuite: Large-Scale Datasets and a Benchmark for Indian Language RAG Systems
• Authors: Pasunuti Prasanjith, Prathmesh B More, Anoop Kunchukuttan, Raj Dabre,
• Abstract summary: IndicMSMarco is a multilingual benchmark for evaluating retrieval quality and response generation in 13 Indian languages.<n>We build a large-scale dataset of (question, answer, relevant passage)s derived from the Wikipedias of 19 Indian languages using state-of-the-art LLMs.
• Score: 17.88837706307504
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Retrieval-Augmented Generation (RAG) systems enable language models to access relevant information and generate accurate, well-grounded, and contextually informed responses. However, for Indian languages, the development of high-quality RAG systems is hindered by the lack of two critical resources: (1) evaluation benchmarks for retrieval and generation tasks, and (2) large-scale training datasets for multilingual retrieval. Most existing benchmarks and datasets are centered around English or high-resource languages, making it difficult to extend RAG capabilities to the diverse linguistic landscape of India. To address the lack of evaluation benchmarks, we create IndicMSMarco, a multilingual benchmark for evaluating retrieval quality and response generation in 13 Indian languages, created via manual translation of 1000 diverse queries from MS MARCO-dev set. To address the need for training data, we build a large-scale dataset of (question, answer, relevant passage) tuples derived from the Wikipedias of 19 Indian languages using state-of-the-art LLMs. Additionally, we include translated versions of the original MS MARCO dataset to further enrich the training data and ensure alignment with real-world information-seeking tasks. Resources are available here: https://huggingface.co/collections/ai4bharat/indicragsuite-683e7273cb2337208c8c0fcb

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