arbml/Munazarat

Munazarat 1.0是一个阿拉伯语竞争辩论的语料库，包含了约50小时的辩论录音，这些录音来自QatarDebate认可的锦标赛，并且所有辩论都在YouTube上可用。语料库主要是现代标准阿拉伯语（MSA），涵盖了多样化的辩论主题，并提供了丰富的元数据。转录工作使用了Fenek语音转文字工具，并由三位母语为阿拉伯语的人士进行审核以提高质量。该数据集可用于训练阿拉伯语NLP工具、开发论点挖掘机器以及分析阿拉伯语论证和修辞风格。

原始信息汇总

数据集卡片：Munazarat

数据集描述

数据集概述

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支持的任务和排行榜

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语言

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数据集结构

数据实例

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数据字段

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数据分割

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数据集创建

策划理由

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源数据

初始数据收集和规范化

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源语言生产者

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注释

注释过程

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注释者

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个人和敏感信息

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使用数据的注意事项

数据集的社会影响

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偏见的讨论

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其他已知限制

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附加信息

数据集策展人

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许可信息

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引用信息

@inproceedings{khader-etal-2024-munazarat, title = "Munazarat 1.0: A Corpus of {A}rabic Competitive Debates", author = "Khader, Mohammad M. and Al-Sharafi, AbdulGabbar and Al-Sioufy, Mohamad Hamza and Zaghouani, Wajdi and Al-Zawqari, Ali", editor = "Al-Khalifa, Hend and Darwish, Kareem and Mubarak, Hamdy and Ali, Mona and Elsayed, Tamer", booktitle = "Proceedings of the 6th Workshop on Open-Source Arabic Corpora and Processing Tools (OSACT) with Shared Tasks on Arabic LLMs Hallucination and Dialect to MSA Machine Translation @ LREC-COLING 2024", month = may, year = "2024", address = "Torino, Italia", publisher = "ELRA and ICCL", url = "https://aclanthology.org/2024.osact-1.3", pages = "20--30", abstract = "This paper introduces the Corpus of Arabic Competitive Debates (Munazarat). Despite the significance of competitive debating as an activity of fostering critical thinking and promoting dialogue, researchers within the fields of Arabic Natural Language Processing (NLP), linguistics, argumentation studies, and education have access to very limited datasets about competitive debating. At this study stage, we introduce Munazarat 1.0, which combines recordings of approximately 50 hours collected from 73 debates at QatarDebate-recognized tournaments, where all of those debates were available on YouTube. Munazarat is a novel specialized speech Arabic corpus, mostly in Modern Standard Arabic (MSA), consisting of diverse debating topics and showing rich metadata for each debate. The transcription of debates was done using Fenek, a speech-to-text Kanari AI tool, and three native Arabic speakers reviewed each transcription file to enhance the quality provided by the machine. The Munazarat 1.0 dataset can be used to train Arabic NLP tools, develop an argumentation mining machine, and analyze Arabic argumentation and rhetoric styles. Keywords: Arabic Speech Corpus, Modern Standard Arabic, Debates", }

贡献

感谢 @github-username 添加此数据集。