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 / organization | MohamedSameh77i |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 0 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 18 October 2026 |
| Last updated at source | 18 October 2026 |
More from MohamedSameh77i
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.