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Register a new userIntroducing CAD: the Contextual Abuse Dataset
تقديم CAD: DataSet الإساءة السياقية
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يمكن للإيذاء عبر الإنترنت إلحاق الأذى بالمستخدمين والمجتمعات، مما يجعل المساحات عبر الإنترنت غير آمنة وسامة.غالبا ما يتم احتساب التقدم المحرز في الكشف عن المحتوى المسيء والتصنيف تلقائيا بسبب عدم وجود مجموعات بيانات عالية الجودة ومفصلة. نقدم مجموعة بيانات جديدة من إدخالات Reddit الإنجليزية في المقام الأول والتي تعالج عدة قيود على العمل السابق.يحتوي ذلك (1) على ست فئات أساسية مميزة من الناحية الناحية الفنية وكذلك الفئات الثانوية، (2) يحتوي على تسميات مشروحة في سياق مؤشر ترابط المحادثة، (3) تحتوي (3) على المناولة و (4) تستخدم عملية تحكم مجموعة مدفوعة من الخبراء عاليةالتوضيحية الجودة.نبلغ عن العديد من النماذج الأساسية لقياس عمل الباحثين في المستقبل.البيانات الموحدة والمبادئ التوجيهية التوضيحية والنماذج والرمز متاحة بحرية.
Online abuse can inflict harm on users and communities, making online spaces unsafe and toxic. Progress in automatically detecting and classifying abusive content is often held back by the lack of high quality and detailed datasets.We introduce a new dataset of primarily English Reddit entries which addresses several limitations of prior work. It (1) contains six conceptually distinct primary categories as well as secondary categories, (2) has labels annotated in the context of the conversation thread, (3) contains rationales and (4) uses an expert-driven group-adjudication process for high quality annotations. We report several baseline models to benchmark the work of future researchers. The annotated dataset, annotation guidelines, models and code are freely available.
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