[alan-turing][m] - individual pages
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examples/alan-turing-portal/content/contributing.md
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examples/alan-turing-portal/content/contributing.md
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title: Contributing
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We accept entries to our catalogue based on pull requests to the content folder. The dataset must be avaliable for download to be included in the list. If you want to add an entry, follow these steps!
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Please send just one dataset addition/edit at a time - edit it in, then save. This will make everyone’s life easier (including yours!)
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- Go to the repo url file and click the "Add file" dropdown and then click on "Create new file".
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- In the following page type `content/datasets/<name-of-the-file>.md`. if you want to add an entry to the datasets catalog or `content/keywords/<name-of-the-file>.md` if you want to add an entry to the lists of abusive keywords.
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- Copy the contents of `templates/dataset.md` or `templates/keywords.md` respectively to the camp below, filling out the fields with the correct data format
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- Click on "Commit changes", on the popup make sure you give some brief detail on the proposed change. and then click on Propose changes
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- Submit the pull request on the next page when prompted.
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@@ -12,3 +12,5 @@ platform: ["AlJazeera"]
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medium: ["Text"]
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reference: "Mubarak, H., Darwish, K. and Magdy, W., 2017. Abusive Language Detection on Arabic Social Media. In: Proceedings of the First Workshop on Abusive Language Online. Vancouver, Canada: Association for Computational Linguistics, pp.52-56."
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SOMETHING TEST
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@@ -12,3 +12,4 @@ platform: ["Youtube", "Facebook"]
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medium: ["Text"]
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reference: "Romim, N., Ahmed, M., Talukder, H., & Islam, M. S. (2021). Hate speech detection in the bengali language: A dataset and its baseline evaluation. In Proceedings of International Joint Conference on Advances in Computational Intelligence (pp. 457-468). Springer, Singapore."
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title: Hate Speech Dataset Catalogue
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This page catalogues datasets annotated for hate speech, online abuse, and offensive language. They may be useful for e.g. training a natural language processing system to detect this language.
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The list is maintained by Leon Derczynski, Bertie Vidgen, Hannah Rose Kirk, Pica Johansson, Yi-Ling Chung, Mads Guldborg Kjeldgaard Kongsbak, Laila Sprejer, and Philine Zeinert.
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examples/alan-turing-portal/content/keywords/hurtlex.md
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examples/alan-turing-portal/content/keywords/hurtlex.md
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title: Hurtlex
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description: HurtLex is a lexicon of offensive, aggressive, and hateful words in over 50 languages. The words are divided into 17 categories, plus a macro-category indicating whether there is stereotype involved.
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data-link: https://github.com/valeriobasile/hurtlex
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reference: http://ceur-ws.org/Vol-2253/paper49.pdf, Proc. CLiC-it 2018
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## Markdown TEST
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Some text
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title: SexHateLex is a Chinese lexicon of hateful and sexist words.
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data-link: https://doi.org/10.5281/zenodo.4773875
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reference: http://ceur-ws.org/Vol-2253/paper49.pdf, Journal of OSNEM, Vol.27, 2022, 100182, ISSN 2468-6964.
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