ismailcemsahin/job-titles-descriptions

该数据集是gpriday/job-titles数据集的合成扩展，包含65,248个结构化职位描述，并预计算了FAISS索引以支持语义搜索。数据集设计用于NLP管道、职业技术应用和检索增强生成（RAG）系统。生成方法使用Llama 3.1-8B模型为基数据集中的每个职位标题合成描述。数据集包含train.parquet文件（存储职位标题和描述）和job_index.faiss文件（用于语义搜索）。应用场景包括语义职位搜索、职业平台推荐、RAG管道和NLP研究。

This dataset is a synthetic expansion of the gpriday/job-titles dataset, containing 65,248 structured job descriptions with a pre-computed FAISS index for semantic search. It is designed for NLP pipelines, career-tech applications, and Retrieval-Augmented Generation (RAG) systems. The generation methodology uses the Llama 3.1-8B model to synthesize descriptions for each job title from the base dataset. The dataset includes a train.parquet file (storing job titles and descriptions) and a job_index.faiss file (for semantic search). Use cases include semantic job search, career platform recommendations, RAG pipelines, and NLP research.