OffensEval 2020 — Turkish
A Twitter (OffensEval 2020 — Turkish) dataset of 34,792 Turkish tweets (6,757 offensive, 28,035 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 Turkish — 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-tr.echo.directory
Analytics
Topic 0
Topic 1
Topic 2
Topic 3
Topic 4
Topic 5
Topic 6
Topic 7
Topic 8
Topic 9
Topic 10
Topic 11
Show all 69 topics
Topic 12
Topic 13
Topic 14
Topic 15
Topic 16
Topic 17
Topic 18
Topic 19
Topic 20
Topic 21
Topic 22
Topic 23
Topic 24
Topic 25
Topic 26
Topic 27
Topic 28
Topic 29
Topic 30
Topic 31
Topic 32
Topic 33
Topic 34
Topic 35
Topic 36
Topic 37
Topic 38
Topic 39
Topic 40
Topic 41
Topic 42
Topic 43
Topic 44
Topic 45
Topic 46
Topic 47
Topic 48
Topic 49
Topic 50
Topic 51
Topic 52
Topic 53
Topic 54
Topic 55
Topic 56
Topic 57
Topic 58
Topic 59
Topic 60
Topic 61
Topic 62
Topic 63
Topic 64
Topic 65
Topic 66
Topic 67
Topic 68
Computed over the full corpus.
Record
- Catalog key
offenseval2020-tr- 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
- 34,792
- Languages
- tr
- Collected
- 2020 (2020s)
- Tasks
- Toxicity detection (binary;
is_offensive) inferred - Region
- Middle East & North Africa (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, 4.4 MB 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
- Resources and benchmark corpora for hate speech detection: a systematic review
Fabio Poletto, Valerio Basile et al. · Language Resources and Evaluation · 2020 · cited 517× - GPT is an effective tool for multilingual psychological text analysis
Steve Rathje, Dan-Mircea Mirea et al. · Proceedings of the National Academy of Sciences of the United States of America · 2024 · cited 420× - Learning from the Worst: Dynamically Generated Datasets to Improve Online Hate Detection
Bertie Vidgen, Tristan Thrush et al. · Annual Meeting of the Association for Computational Linguistics · 2021 · cited 394× - Directions in abusive language training data, a systematic review: Garbage in, garbage out
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×
Show all 10
- Recipes for Safety in Open-domain Chatbots
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 — Turkish [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 — Turkish. 2020, doi.org/10.18653/v1/2020.semeval-1.188.