OffensEval 2020 — Danish
A Twitter (OffensEval 2020 — Danish) dataset of 3,290 Danish tweets (425 offensive, 2,865 non-offensive), collected by Zampieri et al. for SemEval-2020 Task 12. Each record contains tweet text, binary offensive label (OFF/NOT), split (train/test). OffensEval 2020 Danish — part of the most popular SemEval task of all time (528 teams), enabling multilingual offensive language research. Suitable for offensive language detection, multilingual NLP, cross-lingual transfer learning, content moderation benchmarking.
Cite this dataset at
offenseval2020-da.echo.directory
Analytics
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Computed over the full corpus.
Record
- Catalog key
offenseval2020-da- Authors
- Zampieri, Marcos; Nakov, Preslav; Rosenthal, Sara; Atanasova, Pepa; Karadzhov, Georgi; Mubarak, Hamdy; Derczynski, Leon; Pitenis, Zeses; Coltekin, Cagri
- Year
- 2020
- Source paper
- SemEval-2020 Task 12: Multilingual Offensive Language Identification in Social Media (OffensEval 2020)
- DOI / arXiv
- 10.18653/v1/2020.semeval-1.188
- License
- CC BY 4.0 (CC-BY-4.0)
- Records
- 3,290
- Languages
- da
- Collected
- 2020 (2020s)
- Tasks
- Toxicity detection (binary;
is_offensive) inferred - Region
- Europe (inferred: from the language of the data)
Provenance
- Originally published at
- https://huggingface.co/datasets/strombergnlp/offenseval_2020 link checked
- Hosted copy
- Mirrored on echo.directory on 2026-10-02, 371.3 KB across 3 files. Checksums in MANIFEST.json.
Citations
SemEval-2020 Task 12: Multilingual Offensive Language Identification in Social Media (OffensEval 2020)
Marcos Zampieri, Preslav Nakov, Sara Rosenthal, Pepa Atanasova, Georgi Karadzhov
Journal Article · International Workshop on Semantic Evaluation · 2020
Cited by
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Bertie Vidgen, Leon Derczynski · PLoS ONE · 2020 · cited 392× - KUISAIL at SemEval-2020 Task 12: BERT-CNN for Offensive Speech Identification in Social Media
Ali Safaya, Moutasem Abdullatif et al. · International Workshop on Semantic Evaluation · 2020 · cited 391×
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Jing Xu, Da Ju et al. · arXiv.org · 2020 · cited 260× - SemEval-2022 Task 5: Multimedia Automatic Misogyny Identification
E. Fersini, F. Gasparini et al. · International Workshop on Semantic Evaluation · 2022 · cited 246× - Towards generalisable hate speech detection: a review on obstacles and solutions
Wenjie Yin, A. Zubiaga · PeerJ Computer Science · 2021 · cited 221× - Multilingual Offensive Language Identification with Cross-lingual Embeddings
Tharindu Ranasinghe, Marcos Zampieri · Conference on Empirical Methods in Natural Language Processing · 2020 · cited 188× - SOLID: A Large-Scale Semi-Supervised Dataset for Offensive Language Identification
Sara Rosenthal, Pepa Atanasova et al. · Findings · 2020 · cited 188×
Citation data from Semantic Scholar, retrieved 2026-10-19.
How to cite
BibTeX
@misc{echo2026,
title = {ECHO: Exploratory Compendium of Humanity Online},
author = {Switzer, Braden and Zafarani, Reza},
year = {2026},
url = {https://echo.directory},
note = {Syracuse University}
}
@inproceedings{zampieri2020semeval,
title = {SemEval-2020 Task 12: Multilingual Offensive Language Identification in Social Media (OffensEval 2020)},
author = {Zampieri, Marcos and Nakov, Preslav and Rosenthal, Sara and Atanasova, Pepa and Karadzhov, Georgi and Mubarak, Hamdy and Derczynski, Leon and Pitenis, Zeses and Coltekin, Cagri},
booktitle = {SemEval},
year = {2020}
} APA
Switzer, B., & Zafarani, R. (2026). ECHO: Exploratory Compendium of Humanity Online [Data repository]. Syracuse University. https://echo.directory
Zampieri, M., Nakov, P., Rosenthal, S., Atanasova, P., Karadzhov, G., Mubarak, H., Derczynski, L., Pitenis, Z., & Coltekin, C. (2020). OffensEval 2020 — Danish [Data set]. https://doi.org/10.18653/v1/2020.semeval-1.188
MLA
Switzer, Braden, and Reza Zafarani. ECHO: Exploratory Compendium of Humanity Online. Syracuse University, 2026, echo.directory.
Zampieri, Marcos, et al. OffensEval 2020 — Danish. 2020, doi.org/10.18653/v1/2020.semeval-1.188.