| # GerMS-AT Dataset Datasheet | |
| This file contains information about the GerMS-AT Dataset partially structured according to | |
| ["T. Gebru et.al. (2021): Datasheets for Datasets"](https://arxiv.org/abs/1803.09010) | |
| If there is a need for additional information or clarification, please feel free to contact any | |
| of the the maintainers of this repository. | |
| ### Motivation | |
| * Purpose of dataset creation: the corpus was created in the context of [project FemDwell](https://www.ofai.at/projects/femdwell) | |
| in order to build a machine-learning based assistant to help human content moderators | |
| identify individual forum posts which may contain sexist or misogynist comments or whole fora, where an unusual large number of such posts | |
| were created more easily. | |
| * Dataset creators: | |
| * [Austrian Research Institue for Artificial Intelligence](https://ww.ofai.at) | |
| * [Standard Verlagsgesellschaft](https://about.derstandard.at/impressum/) | |
| * Funding of dataset creation: | |
| * The project was sponsored by [Vienna Business Agency](https://wirtschaftsagentur.at/) | |
| ### Composition | |
| * Instance representation: JSON dictionary | |
| * Number of instances: 7984 | |
| * Data per instance: | |
| * `id`: a unique ID | |
| * `text`: the text of the forum comment posted, with user names and real person names replaced by the string "{USER}" and web addresses, email address and | |
| the like replaced by the string "{URL}" | |
| * Label/target per instance: | |
| * for each instance there is a dictionary which contains the label assigned by each of the annotators who were presented the comment. Annotators are | |
| represented by anonymized annotator ids. | |
| * the label assigned by each annotator is one of "0" (no sexism/misogyny present), "1" (mild), "2" (present), "3" (severe), "4" (extreme). | |
| * Recommended data splits: | |
| * the data is made available as a train and a test file, with the same split that was used in the [GermEval2024 GerMS-Detect](https://ofai.github.io/GermEval2024-GerMS/) shared task | |
| * Presence of confidential information: there is no confidential information in the dataset | |
| * Presence of offensive or otherwise problematic data: comments will contain sexist and misogynist remarks and may also contain other forms | |
| of offensive or toxic remarks. | |
| * Identifyability of subpopulations: comments have been made by readers of the online news web site | |
| * Identifyability of individuals: all information that could identify a user or person has been removed or replaced with placeholders | |
| * Presence of sensitive information: none | |