SOTAVerified

RecipeNLG: A Cooking Recipes Dataset for Semi-Structured Text Generation

2020-12-15Code Available1· sign in to hype

Michał Bień, Michał Gilski, Martyna Maciejewska, Wojciech Taisner, Dawid Wiśniewski, Agnieszka Ławrynowicz

Code Available — Be the first to reproduce this paper.

Reproduce

Code

Abstract

Semi-structured text generation is a non-trivial problem. Although last years have brought lots of improvements in natural language generation, thanks to the development of neural models trained on large scale datasets, these approaches still struggle with producing structured, context- and commonsense-aware texts. Moreover, it is not clear how to evaluate the quality of generated texts. To address these problems, we introduce RecipeNLG - a novel dataset of cooking recipes. We discuss the data collection process and the relation between the semi-structured texts and cooking recipes. We use the dataset to approach the problem of generating recipes. Finally, we make use of multiple metrics to evaluate the generated recipes.

Tasks

Reproductions