地球资源数据云——数据资源详情
人工智能 Arxiv
该数据集《Artificial Intelligence Arxiv》主要用于监督学习任务，数据形态以文本为主，应用场景偏向金融风控。 题目说明：Analyze recent findings in Artificial Intelligence on Arxiv 任务类型：文本监督学习。 建议流程：先做文本清洗与分词，再比较 TF - IDF+线性模型 与 预训练语言模型。 评估建议：使用分层切分或交叉验证，优先关注 F1、Recall、AUC 等分类指标。 可用文件：arxiv_papers.csv。 Context arXiv is a free distribution service and an open - access archive for more than 1,000,000 scholarly articles in the fields of physics, mathematics, computer science, quantitative biology, quantitative finance, statistics, electrical engineering and systems science, and economics. I decided to scrape a small subset on Artificial Intelligence. Feel free to play around with this dataset. Content Each item represents one paper from Arxiv, described as follows:
摘要概览
该数据集《Artificial Intelligence Arxiv》主要用于监督学习任务，数据形态以文本为主，应用场景偏向金融风控。 题目说明：Analyze recent findings in Artificial Intelligence on Arxiv
任务类型：文本监督学习。
建议流程：先做文本清洗与分词，再比较 TF - IDF+线性模型 与 预训练语言模型。
评估建议：使用分层切分或交叉验证，优先关注 F1、Recall、AUC 等分类指标。
可用文件：arxiv_papers.csv。
Context
arXiv is a free distribution service and an open - access archive for more than 1,000,000 scholarly articles in the fields of physics, mathematics, computer science, quantitative biology, quantitative finance, statistics, electrical engineering and systems science, and economics. I decided to scrape a small subset on Artificial Intelligence.
Feel free to play around with this dataset.
Content
Each item represents one paper from Arxiv, described as follows: