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MohamedSameh77i/moallm-bilingual-corpus

MoaLLM Bilingual Technical & Study Corpus (Arabic/Egyptian + English) A large-scale, high-quality bilingual dataset optimized for training ultra-fast static embedding models (like Model2Vec), cross-lingual retrieval engines, and dense passage retrieval. Dataset Summary Total Unique Passages: 1,186,899 Total Unique Query-Passage Pairs: 1,138,237 Language Composition: English Technical: 1,091,470 passages Arabic / Egyptian Dialect: 86,225 passages Bilingual… See the full description on the dataset page: https://huggingface.co/datasets/MohamedSameh77i/moallm-bilingual-corpus.

Author / organizationMohamedSameh77i
License (as declared)apache-2.0
Downloads0 (as reported by Hugging Face)
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Created18 October 2026
Last updated at source18 October 2026
bilingualcross-lingualegyptian-arabiccode-searchtechnical-qatextbooksinformation-retrievalmodel2vec
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