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New IndicTalk Corpus Boosts Multilingual Conversational AI for Indic Languages

By PulseAugur Editorial · [2 sources] ·

Researchers have introduced IndicTalk, a substantial new corpus of multilingual, code-mixed conversations designed to advance conversational AI for Indic languages. The dataset features over 1.3 million multi-turn dialogues across 18 language varieties of 9 Indic languages, generated automatically using large language models grounded in real-world news. IndicTalk aims to address the scarcity of high-quality dialogue resources for these languages, supporting the development of more capable conversational AI systems. AI

IMPACT This dataset will enable the development and evaluation of more sophisticated multilingual conversational AI systems for underrepresented Indic languages.

RANK_REASON The cluster describes a new research paper introducing a large-scale dataset for conversational AI.

Read on Hugging Face Daily Papers →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New IndicTalk Corpus Boosts Multilingual Conversational AI for Indic Languages

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COVERAGE [2]

  1. arXiv cs.CL TIER_1 English(EN) · Sahil Deepak Gawande, Mayank Singh ·

    IndicTalk: A Large-Scale Persona-Based Multilingual Conversational Corpus for Indic Languages

    arXiv:2607.23242v1 Announce Type: new Abstract: Large Language Models (LLMs) have transformed conversational AI, yet high-quality multilingual code-mixed dialogue resources remain scarce, particularly for Indic languages where speakers naturally alternate between English and thei…

  2. Hugging Face Daily Papers TIER_1 English(EN) ·

    IndicTalk: A Large-Scale Persona-Based Multilingual Conversational Corpus for Indic Languages

    Large Language Models (LLMs) have transformed conversational AI, yet high-quality multilingual code-mixed dialogue resources remain scarce, particularly for Indic languages where speakers naturally alternate between English and their native language in both native-script and Roma…

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