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Mashup and API dataset from ProgrammableWeb.We have segmented and cleaned the data, retaining useful parts for subsequent task calculations. The storage format is in *. csv format. This mainly consists of two parts of data: Mashup and API, which are mainly used for participating in the post order BERT model. It also includes *. pt data that needs to be used for Node2Vec.Node2Vec uses its unique algorithmic approach for specific processing, mainly forming mashups, APIs, and categories to form entity to entity correspondence, in order to explore the relationships between entities. Form mashups and APIs, mashups and categories, categories and APIs. The connection between three types of entities. The main focus of this article is on the connection between mashups and APIs.The BERT model is used to address semantic representation issues in mashups and APIs, train their descriptions through transformation, and extract textual features of entities

来自 ProgrammableWeb 的 Mashup 和 API 数据集。我们对数据进行分段与清洗，保留了后续任务计算中所需的有用部分。存储格式为 *.csv 格式。该数据集主要包含两部分：Mashup 和 API，这些数据主要用于参与后订单 BERT 模型的训练。此外，还包括需要用于 Node2Vec 的 *.pt 数据。Node2Vec 采用其独特的算法方法进行特定处理，主要形成 Mashup、API 和类别，以形成实体间的对应关系，从而探索实体之间的关系。构建 Mashup 和 API、Mashup 和类别、类别和 API 之间的连接。关注三种实体类型之间的联系。本文的主要焦点在于 Mashup 与 API 之间的联系。BERT 模型被用于解决 Mashup 和 API 中的语义表示问题，通过变换训练其描述，并提取实体的文本特征。