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FeReRe: Feedback Requirements Relation using Large Language Models [data]

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 &q...

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Bibliographic Details
Main Author: Anders, Michael (Author)
Format: Database Research Data
Language:English
Published: Heidelberg Universität 2025-02-06
DOI:10.11588/DATA/8NHOER
Subjects:
Forschungsdaten
Datenbank
Online Access:Verlag, kostenfrei, Volltext: https://doi.org/10.11588/DATA/8NHOER
Verlag, kostenfrei, Volltext: https://heidata.uni-heidelberg.de/dataset.xhtml?persistentId=doi:10.11588/DATA/8NHOER
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Author Notes:Michael Anders
Description
Summary: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.
Item Description:Gefördert durch: Carl Zeiss Foundation: 2019-01-003; 2021-2026
Gesehen am 27.08.2025
Physical Description:Online Resource
DOI:10.11588/DATA/8NHOER

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