# Subjective Assessment of Text Complexity: A Dataset for German Language

arXiv: https://arxiv.org/abs/1904.07733 · HTML: https://mlsanity.com/paper/1904.07733/

## Key facts

- Cited by 17 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 16 Apr 2019.

## Built on by (most cited first, 17 of 17)

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- [VTechAGP: An Academic-to-General-Audience Text Paraphrase Dataset and Benchmark Models](https://mlsanity.com/paper/2411.04825/) (2024)
- [A Transfer Learning Based Model for Text Readability Assessment in German](https://mlsanity.com/paper/2207.06265/) (2022)
- [German4All -- A Dataset and Model for Readability-Controlled Paraphrasing in German](https://mlsanity.com/paper/2508.17973/) (2025)
- [Pseudo-Labels Are All You Need](https://mlsanity.com/paper/2208.09243/) (2022)
- [Easy-to-Read in Germany: A Survey on its Current State and Available Resources](https://mlsanity.com/paper/2306.03189/) (2023)
- [Simpler becomes Harder: Do LLMs Exhibit a Coherent Behavior on Simplified Corpora?](https://mlsanity.com/paper/2404.06838/) (2024)
- [EASSE-DE: Easier Automatic Sentence Simplification Evaluation for German](https://mlsanity.com/paper/2404.03563/) (2024)
- [DETECT: Determining Ease and Textual Clarity of German Text Simplifications](https://mlsanity.com/paper/2510.22212/) (2025)
- [Profiling German Text Simplification with Interpretable Model-Fingerprints](https://mlsanity.com/paper/2601.13050/) (2026)
- [Assessing Quality of Experience in Natural Language Generation of German Text](https://mlsanity.com/paper/2608.18888/) (2026)

## Abstract (arXiv)

This paper presents TextComplexityDE, a dataset consisting of 1000 sentences in German language taken from 23 Wikipedia articles in 3 different article-genres to be used for developing text-complexity predictor models and automatic text simplification in German language. The dataset includes subjective assessment of different text-complexity aspects provided by German learners in level A and B. In addition, it contains manual simplification of 250 of those sentences provided by native speakers and subjective assessment of the simplified sentences by participants from the target group. The subjective ratings were collected using both laboratory studies and crowdsourcing approach.