FeReRe: Feedback Requirements Relation using Large Language Models [data]
收藏DataCite Commons2025-07-24 更新2025-04-17 收录
下载链接：
https://heidata.uni-heidelberg.de/citation?persistentId=doi:10.11588/DATA/8NHOER
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资源简介：
This dataset consists of 3 parts:
The "related_work.bib" contains citations for the Related Work section of the paper.
The "ChatGPTPrompts.xlsx" contains a list of all prompt experiments conducted with ChatGPT on the Komoot dataset, including the final prompts and results.
The "data" folder contains all 4 datasets used for training and testing of the BERT classifier in the paper. Each dataset contains feedback, requirements and a ground truth in which feedback IDs are assigned to requirement IDs.
The folder can be copied into the FeReRe code (https://github.com/feeduvl/FeReRe) to reproduce results.
提供机构：
heiDATA
创建时间：
2024-11-04
