ReciFineGen: Recipe Generation Evaluation Dataset

Research Explorer (The University of Manchester) 2026 Dataset

Authors: Nuhu Ibrahim, Rishi Ravikumar, Robert Stevens, Riza Batista-Navarro, Department of Computer Science, Computer Science Teaching, Natural Language Processing and Text Mining
Cited by: 0

Abstract

ReciFineGen is a gold-standard dataset designed to evaluate controllable recipe generation using human judgements.

Fields of Study & Subjects

Topic Modeling Multimodal Machine Learning Applications Speech and dialogue systems

Publication details

Journal / source
Research Explorer (The University of Manchester)
Publication date
1 January 2026
Language
EN
Document type
Dataset