Bridging the Data Gap: Creating a Hindi Text Summarization Dataset from the English XSUM

Creating a dataset in Hindi for XSUM, a task focused on text summarization, represents a pivotal step towards bridging linguistic gaps in natural language processing (NLP) and making state-of-the-art technologies accessible and relevant to a wider audience. This chapter delves into the multifaceted process of dataset creation, specifically tailored to the needs and nuances of the Hindi language, a rich and complex linguistic system spoken by hundreds of millions of people.

The journey of creating such a dataset is both challenging and rewarding. It involves careful consideration of linguistic diversity, cultural nuances, and the technical requirements of text summarization models. This chapter aims to guide readers through the intricacies of this process, from the initial planning stages to the final execution, highlighting the importance of linguistic inclusivity in the development of NLP technologies.

…(본문이 길어 일부가 생략되었습니다.)

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