The peer-reviewed publication for this dataset has been presented in the 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), and can be accessed here: https://arxiv.org/abs/2205.02596. Please cite this when usin...

Data for the paper: Allison, E. and Kenward,H. 2022. Insect remains from excavations at Posthustorvet in Ribe. In: S. Sindbæk (ed.) Northern Emporium vol. I The Making of Viking-age Ribe. Aarhus: Jutland Archaeological Society pp. 389-416. Abstract: Ribe was one o...

There are many contexts where dyadic data are present. In social networks, users are linked to a variety of items, defining interactions. In the social platform of TripAdvisor, users are linked to restaurants by means of reviews posted by them. Using the information of ...

SILKNOW Multimodal Cultural Heritage Dataset. Includes text descriptions, images, labels, and predictions made by individual modality classifiers. The data resulted from an export of the SILKNOW Knowledge Graph. See: https://zenodo.org/record/5743090 Repository with cod...

We investigated a previously published set of research articles concerned with requirements quality, extracted quality factors and other relevant elements from eligible publications, and iteratively constructed an ontology of quality factors for natural language require...

Dataset containing all archaeological sites in Europe where haddock (Melanogrammus aeglefinus) has been found, and all the fish remains from these sites, based on published and unpublished species identifications.

Appendix B – Vocabulary Matching Tool output with Getty Art & Architecture Thesaurus terms. Formatted in JSON.

We introduce the first large-scale human-annotated Twitter sentiment dataset for the four most widely spoken languages in Nigeria—Hausa, Igbo, Nigerian-Pidgin, and Yorùbá—consisting of around 30,000 annotated tweets per language (except for Nig...

Trained models from the paper: Lukas Galke, Isabell Cuber, Christoph Meyer, Henrik Ferdinand Noelscher, Angelina Sonderecker, and Ansgar Scherp: General Cross-Architecture Distillation of Pretrained Language Models into Matrix Embeddings, in: International Joint Confere...

Datasets DISTANT-CTO is a weakly-labeled dataset of 'Intervention' and 'Comparator' entity annotated sentences. The dataset was obtained using candidate generation the approach described in "DISTANT-CTO: A Zero Cost, Distantly Supervised Approach t...