Developer releases 23,000-record open Gujarati instruction dataset to improve AI language support

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A developer has publicly released GGJI v1, a Gujarati-language instruction-tuning dataset containing 23,181 instruction-response pairs, citing a significant gap in AI support for the language despite it having over 60 million speakers. The dataset spans 18 task categories including reasoning, translation, creative writing, summarization, and culturally grounded content about Gujarat. It is designed to help researchers and developers fine-tune and benchmark language models capable of understanding and responding naturally in Gujarati. The dataset is freely available on Hugging Face under the Apache 2.0 license, permitting research, commercial, and personal use. The creator acknowledges it is a first version with known gaps, such as limited representation of dialects like Kathiawadi and Surti, and has invited community contributions for future improvements.

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