YouTube-Based Nahwu and Shorof Learning Transcription Dataset

The YouTube-Based Nahwu and Shorof Learning Transcription Dataset is a collection of textual transcriptions obtained from educational YouTube videos that focus on teaching Nahwu and Shorof, which are fundamental components of Arabic grammar. Nahwu generally deals with Arabic sentence structure and grammatical rules, while Shorof focuses on word formation and morphological patterns. This dataset was compiled by collecting relevant instructional videos from YouTube and converting their spoken explanations into structured text through transcription. The purpose of this dataset is to support academic research, language learning analysis, and natural language processing (NLP) studies related to Arabic language education. The dataset may include information such as video titles, source links, and the corresponding transcription text. It can be used by researchers, educators, and students to analyze teaching methods, linguistic patterns, vocabulary usage, and instructional approaches used in online Nahwu and Shorof learning materials. Overall, this dataset provides a useful resource for studies in Arabic linguistics, language education, and computational text analysis based on online educational content.