Omkar2118/datasets huggingface dataset:
DKhate

A corpus of Offensive Language and Hate Speech Detection for Danish

This DKhate dataset contains 3600 comments from the web annotated for offensive language, following the Zampieri et al. / OLID scheme.

Submissions and benchmarks for the OffensEval 2020 Danish track are also included.

Introducing paper: Offensive Language and Hate Speech Detection for Danish
Broad Twitter Corpus

This paper introduces the Broad Twitter Corpus (BTC), which is not only significantly bigger, but sampled across different regions, temporal periods, and types of Twitter users. The gold-standard named entity annotations are made by a combination of NLP experts and crowd workers, which enables us to harness crowd recall while maintaining high quality. We also measure the entity drift observed in our dataset (i.e. how entity representation varies over time), and compare to newswire.

Introducing paper: Broad Twitter Corpus: A Diverse Named Entity Recognition Resource
DanFEVER

We present a dataset, DANFEVER, intended for claim verification in Danish. The dataset builds upon the task framing of the FEVER fact extraction and verification challenge. DANFEVER can be used for creating models for detecting mis- & disinformation in Danish as well as for verification in multilingual settings.

Introducing paper: DanFEVER: claim verification dataset for Danish