knight/datahub
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

[alan-turing][m] - additional fixes

Browse Source
This commit is contained in:
Luccas Mateus de Medeiros Gomes
2023-05-08 13:25:34 -03:00
parent 43ac5cfb47
commit 4cadc50e46
4 changed files with 203 additions and 22 deletions
Download Patch File Download Diff File Expand all files Collapse all files

14
examples/alan-turing-portal/content/index.mdx
View File

@@ -4,17 +4,19 @@ title: Hate Speech Dataset Catalogue
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.
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.
The list is maintained by [Leon Derczynski](https://www.derczynski.com/), [Bertie Vidgen](https://www.turing.ac.uk/people/researchers/bertie-vidgen), [Hannah Rose Kirk](https://www.hannahrosekirk.com/), Pica Johansson, [Yi-Ling Chung](https://yilingchung.github.io/), Mads Guldborg Kjeldgaard Kongsbak, [Laila Sprejer](https://www.turing.ac.uk/people/researchers/laila-sprejer), and Philine Zeinert.
We provide a list of datasets and keywords. If you would like to contribute to our catalogue or add your dataset, please see the instructions for contributing.
We provide a list of [datasets](#Datasets-header) and [keywords](#Keywords-header). If you would like to contribute to our catalogue or add your dataset, please see the [instructions for contributing](#Contributing-header).
If you use these resources, please cite (and read!) our paper: Directions in Abusive Language Training Data: Garbage In, Garbage Out. And if you would like to find other resources for researching online hate, visit The Alan Turing Institute’s Online Hate Research Hub or read The Alan Turing Institute’s Reading List on Online Hate and Abuse Research.
If you use these resources, please cite (and read!) our paper: [Directions in Abusive Language Training Data: Garbage In, Garbage Out](https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0243300). And if you would like to find other resources for researching online hate, visit The Alan Turing Institute's [Online Hate Research Hub](https://www.turing.ac.uk/research/research-programmes/public-policy/online-hate-research-hub) or read The Alan Turing Institute's [Reading List on Online Hate and Abuse Research](https://docs.google.com/document/d/1WVkVGp29Jt6d-4fBnZ5OWVYuFn_03rzz-KBqPsu6gTM/edit?usp=sharing).
If you’re looking for a good paper on online hate training datasets (beyond our paper, of course!) then have a look at ‘Resources and benchmark corpora for hate speech detection: a systematic review’ by Poletto et al. in Language Resources and Evaluation.
If you're looking for a good paper on online hate training datasets (beyond our paper, of course!) then have a look at ['Resources and benchmark corpora for hate speech detection: a systematic review'](https://link.springer.com/article/10.1007/s10579-020-09502-8) by Poletto et al. in *Language Resources and Evaluation*.
<a href="#datasets" className="w-fit mx-auto no-underline rounded-md py-3 px-6 outline-offset-2 transition active:transition-none bg-zinc-800 font-semibold text-zinc-100 hover:bg-zinc-700 active:bg-zinc-800 active:text-zinc-100/70 dark:bg-zinc-700 dark:hover:bg-zinc-600 dark:active:bg-zinc-700 dark:active:text-zinc-100/70">See the datasets</a>
Accompanying [data statements](https://www.mitpressjournals.org/doi/abs/10.1162/tacl_a_00041) preferred for all corpora.
## How to contribute
<a href="#datasets" className="w-fit mx-auto no-underline rounded-md py-3 px-6 outline-offset-2 transition !active:transition-none bg-zinc-800 !font-semibold !text-zinc-100 hover:bg-zinc-700 active:bg-zinc-800 active:text-zinc-100/70 dark:bg-zinc-700 dark:hover:bg-zinc-600 !dark:active:bg-zinc-700 dark:active:text-zinc-100/70">See the datasets</a>
<h2 id="Contributing-header">How to contribute</h2>
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!