MongoDB/tech-news-embeddings

该数据集由HackerNoon整理，包含了2022年和2023年关于3000多家最有价值科技公司的700多万篇科技新闻文章和博客文章。为了增强数据集的实用性，使用OpenAI的EMBEDDING_MODEL为每个数据点添加了新的嵌入字段和向量嵌入。数据集的结构包括每个新闻文章的多个字段，如唯一标识符、公司名称、发布日期、文章URL、标题、主图像URL、描述和嵌入向量。该数据集适用于科技行业趋势分析、搜索和推荐系统增强、情感分析等多种应用场景。

This dataset was curated by HackerNoon, comprising over 7 million technology news articles and blog posts from 2022 and 2023 covering more than 3,000 of the most valuable technology companies. To enhance its practical utility, OpenAI's EMBEDDING_MODEL was utilized to add new embedding fields and vector embeddings for each data point. The dataset structure includes multiple fields for each news article, such as unique identifier, company name, publication date, article URL, title, main image URL, description, and embedding vector. This dataset is applicable to a variety of scenarios including technology industry trend analysis, search and recommendation system enhancement, sentiment analysis and other relevant application scenarios.

原始信息汇总

数据集概述

数据来源

• 数据集由HackerNoon整理。

数据内容

• 包含2022年和2023年关于3000多家最有价值的科技公司的700万篇以上科技公司新闻文章和博客文章。