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README.md

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-ArzEn-MultiGenre is a parallel dataset consisting of Egyptian Arabic song lyrics, novels, and TV show subtitles that have been manually translated and aligned with their English counterparts. The dataset contains a total of 25,557 segment pairs that can be used to benchmark new machine translation models, fine-tune large language models in few-shot settings, and adapt commercial machine translation applications such as Google Translate. Additionally, the dataset is a valuable resource for research in various linguistics disciplines, including translation studies, cross-linguistic analysis, and lexical semantics. The contributions are twofold: first, it features textual genres that are not found in existing parallel Egyptian Arabic and English datasets, and second, it is a gold-standard dataset that has been translated and aligned by human experts.
+ArzEn-MultiGenre is a parallel dataset consisting of Egyptian Arabic song lyrics, novels, and TV show subtitles that have been manually translated and aligned with their English counterparts. The dataset contains a total of 25,557 segment pairs that can be used to benchmark new machine translation models, fine-tune large language models in few-shot settings, and adapt commercial machine translation applications such as Google Translate. Additionally, the dataset is a valuable resource for research in various linguistics disciplines, including translation studies, cross-linguistic analysis, and lexical semantics. The contributions are twofold: first, it features textual genres that are not found in existing parallel Egyptian Arabic and English datasets, and second, it is a gold-standard dataset that has been translated and aligned by human experts.
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+please Cite it 
+'''
+Al-Sabbagh, Rania (2023), “ArzEn-MultiGenre: An aligned parallel dataset of Egyptian Arabic song lyrics, novels, and subtitles, with English translations ”, Mendeley Data, V3, doi: 10.17632/6k97jty9xg.3
+'''