mitanshu-reckonsys/informatics_benchmark_embedding_mixedbread-ai_mxbai-embed-large-v1_binary

该数据集是一个学术文献数据集，包含文章元数据和向量表示。特征包括文章标识符（如ID、DOI）、内容信息（标题、摘要、年份）、分类和主题（主题ID、主题分类、MeSH关键词）、作者和出版物详情（作者姓名、单位、期刊名称、出版商信息）、访问状态（是否有摘要、全文、PDF、开放获取状态、PDF可用性）、学术指标（h指数、SJR）以及向量表示（摘要向量、标题摘要向量）。数据集分为训练集，包含401,452个示例，总大小为480,794,615字节，下载大小为260,628,807字节。可能用于自然语言处理、信息检索或学术分析任务。

This is an academic literature dataset encompassing article metadata and vector representations. Its features cover article identifiers (e.g., ID, DOI), content information (title, abstract, publication year), classification and topic information (topic ID, topic category, MeSH keywords), author and publication details (author names, affiliations, journal name, publisher information), access status (availability of abstracts, full texts, PDF files, open access status, PDF accessibility), academic metrics (h-index, SJR), and vector representations (abstract vectors, title-abstract vectors). The dataset is split into a training set containing 401,452 samples, with a total size of 480,794,615 bytes and a download size of 260,628,807 bytes. It can be employed for natural language processing, information retrieval, or academic analysis tasks.