mohamed2811/MuffakirTriplets

该数据集由我们创建和整理，用于训练和微调阿拉伯语嵌入模型。它采用三元组结构，支持对比学习和语义相似性任务，帮助模型学习阿拉伯语文本的有意义表示。该数据集已用于微调特定的嵌入模型，适用于语义搜索、信息检索、检索增强生成（RAG）系统、问答系统以及阿拉伯语NLP的研究和基准测试。数据集语言为阿拉伯语，由Mohamed Khaled创建和维护。

This dataset was created and curated by us for training and fine-tuning Arabic embedding models. It follows a triplet-style structure to support contrastive learning and semantic similarity tasks, helping models learn meaningful representations of Arabic text. The dataset has been used to fine-tune specific embedding models and is suitable for semantic search, information retrieval, Retrieval-Augmented Generation (RAG) systems, question answering systems, and research and benchmarking in Arabic NLP. The dataset is in Arabic and was created and maintained by Mohamed Khaled.