Datasets
Standard Dataset
For API Recommendation
- Citation Author(s):
- Submitted by:
- zhang xiang
- Last updated:
- Wed, 01/03/2024 - 23:20
- DOI:
- 10.21227/vp8b-2t87
- License:
- Categories:
- Keywords:
Abstract
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
API Dataset Type:
Name | Desc | Primary Category |Follows | Secondary Categories | API Provideer | others..
Mashup Dataset Type:
Name| Related API |Categories | Desc| URL| Company| Mashup/App Type
*.PT Dataset Type:
mashup1:0 mashup2:1 mashup3:1 .... mashup6404:6403
api0:0 api:1 api3:2 .....api1628:1627
Documentation
Attachment | Size |
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Data usage document | 759 bytes |