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New dataset teaches LLMs Indian Knowledge Systems across 7 languages

By PulseAugur Editorial · [1 sources] ·

Researchers have developed IKS-Instruct, a new multilingual dataset designed to teach large language models about Indian Knowledge Systems (IKS). The dataset contains over 24,000 instruction-response pairs in seven languages, covering 41 pedagogical techniques and aligning with Indian educational curricula. Evaluations show that a fine-tuned 7B model using IKS-Instruct achieves scores comparable to a general-purpose reference model on IKS-specific dimensions, at a significantly lower deployment cost. AI

IMPACT This dataset could enable LLMs to provide more culturally relevant and specialized educational content, particularly in non-English languages.

RANK_REASON The cluster describes a new academic dataset and its evaluation, fitting the research bucket. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New dataset teaches LLMs Indian Knowledge Systems across 7 languages

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The cluster describes a new academic dataset and its evaluation, fitting the research bucket. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Shwetha Singaravelu, Gayathri Muruganantham, Lakshmi Rajendran, Santhosh Sivasubramani ·

    IKS-Instruct: A 24,000-Example Multilingual Dataset for Teaching Language Models Indian Knowledge Systems

    arXiv:2607.23322v1 Announce Type: new Abstract: Instruction tuning has become the standard method for adapting large language models to follow human intent, yet existing instruction datasets are dominated by English-language general-knowledge tasks and lack coverage of specialize…

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