Datasets:
Tasks:
Text Classification
Modalities:
Text
Sub-tasks:
hate-speech-detection
Size:
10K - 100K
ArXiv:
remove incorrect content
Browse files
README.md
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- **Repository:**
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- **Paper:** [https://aclanthology.org/2020.semeval-1.188/](https://aclanthology.org/2020.semeval-1.188/)
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- **Point of Contact:** [Leon Derczynski](https://github.com/leondz)
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- **Size of downloaded dataset files:** 769.21 KiB
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- **Size of the generated dataset:** 1.06 MiB
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- **Total amount of disk used:** 1.85 MiB
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### Dataset Summary
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following the OffensEval convention, with three tasks:
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See the paper [https://arxiv.org/abs/2107.13592](https://arxiv.org/abs/2107.13592) for full details.
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### Supported Tasks and Leaderboards
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### Languages
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## Dataset Structure
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- **Repository:**
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- **Paper:** [https://aclanthology.org/2020.semeval-1.188/](https://aclanthology.org/2020.semeval-1.188/)
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- **Point of Contact:** [Leon Derczynski](https://github.com/leondz)
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### Dataset Summary
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OffensEval 2020 features a multilingual dataset with five languages. The languages included in OffensEval 2020 are:
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* Arabic
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* Danish
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* English
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* Greek
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* Turkish
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The annotation follows the hierarchical tagset proposed in the Offensive Language Identification Dataset (OLID) and used in OffensEval 2019.
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In this taxonomy we break down offensive content into the following three sub-tasks taking the type and target of offensive content into account.
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The following sub-tasks were organized:
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* Sub-task A - Offensive language identification;
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* Sub-task B - Automatic categorization of offense types;
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* Sub-task C - Offense target identification.
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English training data is omitted so needs to be collected otherwise (see [https://zenodo.org/record/3950379#.XxZ-aFVKipp](https://zenodo.org/record/3950379#.XxZ-aFVKipp))
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### Supported Tasks and Leaderboards
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### Languages
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Five are covered: bcp47 `ar;da;en;gr;tr`
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## Dataset Structure
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