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TextAge: A Curated and Diverse Text Dataset for Age Classification
June 26, 2024, 4:41 a.m. | Shravan Cheekati, Mridul Gupta, Vibha Raghu, Pranav Raj
cs.CL updates on arXiv.org arxiv.org
Abstract: Age-related language patterns play a crucial role in understanding linguistic differences and developing age-appropriate communication strategies. However, the lack of comprehensive and diverse datasets has hindered the progress of research in this area. To address this issue, we present TextAge, a curated text dataset that maps sentences to the age and age group of the producer, as well as an underage (under 13) label. TextAge covers a wide range of ages and includes both spoken …
abstract age arxiv classification communication cs.cl cs.lg dataset datasets differences diverse however issue language patterns progress research role strategies text type understanding
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