Datasets:
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README.md
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languages:
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- en
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licenses:
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- CLARIN.SI Licence ACA ID-BY-NC-INF-NORED 1.0
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task_categories:
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- text-classification
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task_ids:
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- text-classification-other-hate-speech-detection
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size_categories:
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- 1K<n<10K
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# Offensive language dataset of Croatian
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The original FRENK dataset consists of comments to Facebook posts (news articles) of mainstream media outlets from Croatia, Great Britain, and Slovenia, on the topics of migrants and LGBT. The dataset contains whole discussion threads. Each comment is annotated by the type of socially unacceptable discourse (e.g., inappropriate, offensive, violent speech) and its target (e.g., migrants/LGBT, commenters, media). The annotation schema is described in detail in [https://arxiv.org/pdf/1906.02045.pdf]. Usernames in the metadata are pseudo-anonymised and removed from the comments.
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languages:
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- en
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licenses:
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- CLARIN.SI Licence ACA ID-BY-NC-INF-NORED 1.0
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task_categories:
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- text-classification
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task_ids:
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- text-classification-other-hate-speech-detection
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- text-classification-other-offensive-languag
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size_categories:
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- 1K<n<10K
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# Offensive language dataset of Croatian comments FRENK 1.0
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English subset of the [FRENK dataset](http://hdl.handle.net/11356/1433). Also available on HuggingFace dataset hub: [Croatian subset](https://huggingface.co/datasets/5roop/FRENK-hate-hr), [Slovenian subset](https://huggingface.co/datasets/5roop/FRENK-hate-sl).
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## Dataset Description
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- **Homepage:** http://hdl.handle.net/11356/1433
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- **Repository:** http://hdl.handle.net/11356/1433
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- **Paper:** https://arxiv.org/abs/1906.02045
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- **Project page** https://nl.ijs.si/frenk/
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## Description of the original dataset
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The original FRENK dataset consists of comments to Facebook posts (news articles) of mainstream media outlets from Croatia, Great Britain, and Slovenia, on the topics of migrants and LGBT. The dataset contains whole discussion threads. Each comment is annotated by the type of socially unacceptable discourse (e.g., inappropriate, offensive, violent speech) and its target (e.g., migrants/LGBT, commenters, media). The annotation schema is described in detail in [https://arxiv.org/pdf/1906.02045.pdf]. Usernames in the metadata are pseudo-anonymised and removed from the comments.
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