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...
Gespeichert in:
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| Dokumenttyp: | Datenbank Forschungsdaten |
| Sprache: | Englisch |
| Veröffentlicht: |
Heidelberg
Universität
2025-02-06
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| DOI: | 10.11588/DATA/8NHOER |
| Schlagworte: | |
| Online-Zugang: | 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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| Verfasserangaben: | Michael Anders |
| Zusammenfassung: | 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. |
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| Beschreibung: | Gefördert durch: Carl Zeiss Foundation: 2019-01-003; 2021-2026 Gesehen am 27.08.2025 |
| Beschreibung: | Online Resource |
| DOI: | 10.11588/DATA/8NHOER |