Plain Language Adaptation of Biomedical Abstracts (PLABA)

PLABA数据集是由利斯特希尔国家生物医学通信中心创建的，旨在将生物医学文献的复杂语言转换为普通公众易于理解的语言。该数据集包含750篇经过专家手动改编的摘要，总计7643对句子。数据集的创建过程涉及专家根据各自的专业领域对摘要进行改编，确保内容的准确性和易理解性。PLABA数据集的应用领域主要集中在提高公众对健康相关文献的理解能力，解决因语言障碍导致的信息获取难题。

The PLABA dataset was created by the Lister Hill National Center for Biomedical Communications, with the objective of converting complex language from biomedical literature into plain language accessible to the general public. This dataset contains 750 abstracts manually adapted by experts, totaling 7643 sentence pairs. The dataset development process entails experts adapting abstracts based on their respective professional fields, ensuring both the accuracy and comprehensibility of the content. The main applications of the PLABA dataset center on enhancing the public's ability to comprehend health-related literature, and addressing information access challenges stemming from language barriers.