Datasets:
Tasks:
Text2Text Generation
Formats:
csv
Sub-tasks:
text-simplification
Languages:
German
Size:
< 1K
ArXiv:
License:
Update README.md
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README.md
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---
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task_categories:
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- text2text-generation
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task_ids:
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- text-simplification
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language:
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- de
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size_categories:
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- 1K<n<10K
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pretty_name: DEplain-web
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configs:
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- simplification
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multilinguality:
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- monolingual
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---
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# Dataset Card for DEplain-web
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## Table of Contents
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- [Dataset Description](#dataset-description)
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- [Dataset Summary](#dataset-summary)
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## Dataset Description
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- **Repository:** [DEplain-web
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- **Paper:** [DEplain: ]()
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- **Point of Contact:** [Regina Stodden]([email protected])
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### Dataset Summary
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[DEplain-web](https://github.com) [(Stodden et al., 2023)]() is a dataset for the evaluation of sentence and document simplification in German. All texts of this dataset are scraped from the web. All documents were licenced with an open license. The simple-complex sentence pairs are manually aligned.
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This dataset only contains a test set. For additional training and development data, please scrape more data from the web using a [web scraper for text simplification data](https://github.com/rstodden/data_collection_german_simplification) and align the sentences of the documents automatically using, for example, [MASSalign](https://github.com/ghpaetzold/massalign) by [Paetzold et al. (2017)](https://www.aclweb.org/anthology/I17-3001/).
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### Supported Tasks and Leaderboards
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### Data Splits
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DEplain-web
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The dataset was split based on the license of the data. All manually-aligned sentence pairs with an open license are part of the test set.
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Additional training and development data can be produced by automatic alignments (see Stodden et al., 2023).
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| | Train | Dev | Test | Total |
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| ----- | ------ | ------ | ---- | ----- |
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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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Two German native speakers have manually aligned the sentence pairs by using the text simplification annotation tool [TS-ANNO](https://github.com/rstodden/TS_annotation_tool) by [Stodden & Kallmeyer (2022)](https://aclanthology.org/2022.acl-demo.14/).
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#### Who are the source language producers?
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The texts of the documents were manually simplified by professional translators. See for an extensive list of the scraped URLs see Table
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### Annotations
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[More Information Needed]
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This dataset card uses material written by [Juan Diego Rodriguez](https://github.com/juand-r) and [Yacine Jernite](https://github.com/yjernite).
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license: mit
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task_categories:
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- text2text-generation
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language:
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- de
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pretty_name: DEplain-web
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size_categories:
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- 1K<n<10K
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---
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# Dataset Card for DEplain-web
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## Table of Contents
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- [Dataset Description](#dataset-description)
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- [Dataset Summary](#dataset-summary)
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## Dataset Description
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- **Repository:** [DEplain-web GitHub repository](https://github.com/rstodden/DEPlain)
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- **Paper:** Regina Stodden, Momen Omar, and Laura Kallmeyer. 2023. ["DEplain: A German Parallel Corpus with Intralingual Translations into Plain Language for Sentence and Document Simplification."](https://arxiv.org/abs/2305.18939). In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Toronto, Canada. Association for Computational Linguistics.
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- **Point of Contact:** [Regina Stodden]([email protected])
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### Dataset Summary
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[DEplain-web](https://github.com/rstodden/DEPlain) [(Stodden et al., 2023)](https://arxiv.org/abs/2305.18939) is a dataset for the evaluation of sentence and document simplification in German. All texts of this dataset are scraped from the web. All documents were licenced with an open license. The simple-complex sentence pairs are manually aligned.
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This dataset only contains a test set. For additional training and development data, please scrape more data from the web using a [web scraper for text simplification data](https://github.com/rstodden/data_collection_german_simplification) and align the sentences of the documents automatically using, for example, [MASSalign](https://github.com/ghpaetzold/massalign) by [Paetzold et al. (2017)](https://www.aclweb.org/anthology/I17-3001/).
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### Supported Tasks and Leaderboards
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### Data Splits
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DEplain-web contains a training set, development set and a test set.
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The dataset was split based on the license of the data. All manually-aligned sentence pairs with an open license are part of the test set. The document-level test set, also only contains the documents which are manually aligned. For document-level dev and test set the documents which are not aligned or not public available are used. For the sentence-level, the alingment pairs can be produced by automatic alignments (see [Stodden et al., 2023](https://arxiv.org/abs/2305.18939)).
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| | Train | Dev | Test | Total |
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| ----- | ------ | ------ | ---- | ----- |
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| Document Pairs | 481 | 122 | 147 | 756
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| Sentence Pairs | 1281 | 313 | 1846 | 3440
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Here, more information on simplification operations will follow soon.
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Two German native speakers have manually aligned the sentence pairs by using the text simplification annotation tool [TS-ANNO](https://github.com/rstodden/TS_annotation_tool) by [Stodden & Kallmeyer (2022)](https://aclanthology.org/2022.acl-demo.14/).
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#### Who are the source language producers?
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The texts of the documents were manually simplified by professional translators. See for an extensive list of the scraped URLs see Table 10 in [Stodden et al. (2023)](https://arxiv.org/abs/2305.18939).
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### Annotations
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[More Information Needed]
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This dataset card uses material written by [Juan Diego Rodriguez](https://github.com/juand-r) and [Yacine Jernite](https://github.com/yjernite).
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