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This dataset comprises a comprehensive collection of PubMed abstracts and associated metadata focusing on the topic of multiple sclerosis (MS) in relation to social determinants and environmental factors, spanning publications from January 1, 2018, to December 31, 2023. The data was meticulously gathered using the PubMed E-Utilities API with the search query "multiple sclerosis" AND ("social determinants" OR "environmental factors"). Articles classified as preprints were excluded to ensure the inclusion of peer-reviewed research only.
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This dataset has been meticulously curated to evaluate the efficiency of Retrieval-Augmented Generation (RAG) pipelines in both retrieval and generative accuracy, with a particular focus on scenarios involving overlapping contexts. The dataset comprises two primary components: Motor data and Employee data. The Motor dataset includes master data of various motor models along with their corresponding manuals, linked by the motor's model name. Similarly, the Employee dataset encompasses employee master data and associated policy documents, linked by department.
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This paper introduces a new dataset named CSED, designed for Chinese cybersecurity ED. The dataset has collected approximately 18,000 news articles related to cybersecurity. We have drawn on the classification definitions of cybersecurity event types from the CAISE [38] , defining two event types: Attack and Vulnerability, and further subdividing them into nine sub-event types: Data Breach, Phishing, Ransom, DDoS Attack, Malware, Supply Chain, Vulnerability Impact, Vulnerability Discovery, and Vulnerability Patch.
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