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

1 code implementation • 15 Dec 2020 • Michał Bień, Michał Gilski, Martyna Maciejewska, Wojciech Taisner, Dawid Wiśniewski, Agnieszka Ławrynowicz

We use the dataset to approach the problem of generating recipes.

Named Entity Recognition (NER) Recipe Generation +1

Contract Discovery: Dataset and a Few-Shot Semantic Retrieval Challenge with Competitive Baselines

1 code implementation • Findings of the Association for Computational Linguistics 2020 • Łukasz Borchmann, Dawid Wiśniewski, Andrzej Gretkowski, Izabela Kosmala, Dawid Jurkiewicz, Łukasz Szałkiewicz, Gabriela Pałka, Karol Kaczmarek, Agnieszka Kaliska, Filip Graliński

We propose a new shared task of semantic retrieval from legal texts, in which a so-called contract discovery is to be performed, where legal clauses are extracted from documents, given a few examples of similar clauses from other legal acts.

Few-Shot Learning Language Modelling +3

TASTEset -- Recipe Dataset and Food Entities Recognition Benchmark

1 code implementation • 16 Apr 2022 • Ania Wróblewska, Agnieszka Kaliska, Maciej Pawłowski, Dawid Wiśniewski, Witold Sosnowski, Agnieszka Ławrynowicz

We provide a few state-of-the-art baselines of named entity recognition models, which show that our dataset poses a solid challenge to existing models.

named-entity-recognition Named Entity Recognition +1

BigCQ: A large-scale synthetic dataset of competency question patterns formalized into SPARQL-OWL query templates

1 code implementation • 20 May 2021 • Dawid Wiśniewski, Jędrzej Potoniec, Agnieszka Ławrynowicz

We also publish the dataset as well as scripts transforming axiom shapes into pairs of CQ patterns and SPARQL-OWL templates, to make engineers able to adapt the process to their particular needs.