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Randa/MAOffens

Dataset Card for Dataset Name This dataset card aims to be a base template for new datasets. It has been generated using this raw template. Dataset Details Dataset Description Curated by: [More Information Needed] Funded by [optional]: [More Information Needed] Shared by [optional]: [More Information Needed] Language(s) (NLP): [More Information Needed] License: [More Information Needed] Dataset Sources [optional]… See the full description on the dataset page: https://huggingface.co/datasets/Randa/MAOffens.

sourceHugging Facecc-by-nc-2.0updated 2y agoView on Hugging Face
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1---2license: cc-by-nc-2.03pretty_name: Offensive Language Dataset for Moroccan Arabic dialect4task_categories:5- text-classification6language:7- ar8size_categories:9- 10K<n<100K10 11---12# Dataset Card for Dataset Name13 14<!-- Provide a quick summary of the dataset. -->15 16This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).17 18## Dataset Details19 20### Dataset Description21 22<!-- Provide a longer summary of what this dataset is. -->23 24 25 26- **Curated by:** [More Information Needed]27- **Funded by [optional]:** [More Information Needed]28- **Shared by [optional]:** [More Information Needed]29- **Language(s) (NLP):** [More Information Needed]30- **License:** [More Information Needed]31 32### Dataset Sources [optional]33 34<!-- Provide the basic links for the dataset. -->35 36- **Repository:** [More Information Needed]37- **Paper [optional]:** [More Information Needed]38- **Demo [optional]:** [More Information Needed]39 40## Uses41 42<!-- Address questions around how the dataset is intended to be used. -->43 44### Direct Use45 46<!-- This section describes suitable use cases for the dataset. -->47 48[More Information Needed]49 50### Out-of-Scope Use51 52<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->53 54[More Information Needed]55 56## Dataset Structure57 58<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->59 60[More Information Needed]61 62## Dataset Creation63 64### Curation Rationale65 66<!-- Motivation for the creation of this dataset. -->67 68[More Information Needed]69 70### Source Data71 72<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->73 74#### Data Collection and Processing75 76<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->77 78[More Information Needed]79 80#### Who are the source data producers?81 82<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->83 84[More Information Needed]85 86### Annotations [optional]87 88<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->89 90#### Annotation process91 92<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->93 94[More Information Needed]95 96#### Who are the annotators?97 98<!-- This section describes the people or systems who created the annotations. -->99 100[More Information Needed]101 102#### Personal and Sensitive Information103 104<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->105 106[More Information Needed]107 108## Bias, Risks, and Limitations109 110<!-- This section is meant to convey both technical and sociotechnical limitations. -->111 112[More Information Needed]113 114### Recommendations115 116<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->117 118Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.119 120## Citation [optional]121 122<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->123 124**BibTeX:**125 126@InProceedings{10.1007/978-3-031-80438-0_2,127 128author="Zarnoufi, Randa129and Hajhouj, Mohammed130and Bachri, Walid131and Jaafar, Hamid132and Abik, Mounia",133 134editor="Hdioud, Boutaina135and Aouragh, Si Lhoussain",136 137title="MAOffens: Moroccan Arabic Offensive Language Dataset",138 139booktitle="Arabic Language Processing: From Theory to Practice",140year="2025",141publisher="Springer Nature Switzerland",142address="Cham",143pages="17--29",144 145abstract="Moroccan Arabic (MA) dialect is a low resource language. To perform any NLP task, we have to develop the necessary resources from scratch. This paper introduces our work on MAOffens, the first MA dataset for offensive language detection. The dataset will serve to build predictive models to detect offensive content widely present on social media and hence help ensure online safety. We built the dataset with a mixture of comments in Arabic and Latin scripts to cover offensiveness in both cases. The resulting dataset consists of 23k comments totally balanced. The dataset is open to the public (https://huggingface.co/datasets/randa/maoffens). We evaluated the annotation and classification power of the dataset through various classifier architectures. Our best performing classifier was based on a MA transformer model.",146 147isbn="978-3-031-80438-0"148}149 150 151**APA:**152 153[More Information Needed]154 155## Glossary [optional]156 157<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->158 159[More Information Needed]160 161## More Information [optional]162 163[More Information Needed]164 165## Dataset Card Authors [optional]166 167[More Information Needed]168 169## Dataset Card Contact170 171[More Information Needed]