Datasets:
Tasks:
Text2Text Generation
Sub-tasks:
text-simplification
Languages:
German
Size:
10K<n<100K
ArXiv:
License:
Update README.md
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README.md
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### Dataset Summary
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[DEplain-APA](https://zenodo.com) [(Stodden et al.,
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### Supported Tasks and Leaderboards
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The test and validation sets are the same as those of TurkCorpus. The split was random.
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Here, more information on simplification operations will follow soon.
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#### Who are the annotators?
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The annotators are two German native speakers, who are trained in linguistics. Both were at least compensated with the minimum wage of their country of residence.
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### Personal and Sensitive Information
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## Considerations for Using the Data
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### Social Impact of Dataset
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### Discussion of Biases
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### Other Known Limitations
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### Dataset Curators
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### Licensing Information
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### Dataset Summary
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[DEplain-APA](https://zenodo.com) [(Stodden et al., 2023)]() is a dataset for the training and evaluation of sentence and document simplification in German. All texts of this dataset are provided by the Austrian Press Agency. The simple-complex sentence pairs are manually aligned.
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### Supported Tasks and Leaderboards
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| Document Pairs | | | |
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| Sentence Pairs | | | |
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Here, more information on simplification operations will follow soon.
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#### Who are the annotators?
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The annotators are two German native speakers, who are trained in linguistics. Both were at least compensated with the minimum wage of their country of residence.
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They are not part of any target group of text simplification.
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### Personal and Sensitive Information
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No sensitive data.
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## Considerations for Using the Data
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### Social Impact of Dataset
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Many people do not understand texts due to their complexity. With automatic text simplification methods, the texts can be simplified for them. Our new training data can benefit in training a TS model.
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### Discussion of Biases
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No bias is known.
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### Other Known Limitations
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### Dataset Curators
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Researchers at the Heinrich-Heine-University Düsseldorf, Germany, developed DEplain-APA. This research is part of the PhD-program `Online Participation` supported by the North Rhine-Westphalian (German) funding scheme `Forschungskolleg`.
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### Licensing Information
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