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Text Simplification datasets
archive 2025-07-28
20 datasets carry the task tag "Text Simplification" (the task itself: Text Simplification), ordered by the archive's paper count. Page 1 of 1: 20 shown of 20. Facet routes are this site's own (the archive records the tag string, not a page).
The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.
Filter 51 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets
Text Simplification datasets 1–20 of 20
The Newsela dataset was introduced by Xu et al.
106 papers · 1 benchmark
WikiLarge comprise 359 test sentences, 2000 development sentences and 300k training sentences.
69 papers · 0 benchmarks
ASSET is a new dataset for assessing sentence simplification in English.
54 papers · 1 benchmark
TurkCorpus, a dataset with 2,359 original sentences from English Wikipedia, each with 8 manual reference simplifications.
44 papers · 1 benchmark
Useful for through two applications - automatic readability assessment and automatic text simplification.
29 papers · 0 benchmarks
Contains one million naturally occurring sentence rewrites, providing sixty times more distinct split examples and a ninety times larger vocabulary than the WebSplit corpus introduced by Narayan et al.
21 papers · 0 benchmarks
TextComplexityDE is 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…
16 papers · 1 benchmark
CEFR-SP contains 17k English sentences annotated with the levels based on the Common European Framework of Reference for Languages assigned by English-education professionals.
7 papers · 0 benchmarks
Klexikon (Klexikon: A German Dataset for Joint Summarization and Simplification)
The dataset introduces document alignments between German Wikipedia and the children's lexicon Klexikon.
5 papers · 1 benchmark
This dataset contains around 5000 scholarly articles and their corresponding easy summary from eureka alert blog, the dataset can be used for the combined task of summarization and simplification.
4 papers · 2 benchmarks
Med-EASi (Medical dataset for Elaborative and Abstractive Simplification), a uniquely crowdsourced and finely annotated dataset for supervised simplification of short medical texts.
4 papers · 0 benchmarks
TextBox 2.0 is a comprehensive and unified library for text generation, focusing on the use of pre-trained language models (PLMs).
3 papers · 0 benchmarks
DEplain-APA-sent: A German Parallel Corpus for Sentence Simplification on News Texts DEplain is a new dataset of parallel, professionally written and manually aligned simplifications in plain German “plain DE” (or in German: “Einfache…
2 papers · 1 benchmark
DEplain-web-sent: A German Parallel Corpus for Sentence Simplification on Web Texts DEplain is a new dataset of parallel, professionally written and manually aligned simplifications in plain German “plain DE” (or in German: “Einfache…
2 papers · 1 benchmark
DEplain-APA-doc: A German Parallel Corpus for Document Simplification on News Texts DEplain is a new dataset of parallel, professionally written and manually aligned simplifications in plain German “plain DE” (or in German: “Einfache…
1 paper · 1 benchmark
DEplain-web-doc: A German Parallel Corpus for Document Simplification on Web Texts DEplain is a new dataset of parallel, professionally written and manually aligned simplifications in plain German “plain DE” (or in German: “Einfache…
1 paper · 1 benchmark
The goal of InfoLossQA is to generate a series of QA pairs that reveal to lay readers what information a simplified text lacks compared to its original.
1 paper · 0 benchmarks
Multiword expressions (MWEs) represent lexemes that should be treated as single lexical units due to their idiosyncratic nature.
1 paper · 0 benchmarks
A medical Wiki paralell corpus for medical text simplification.
1 paper · 0 benchmarks
SimpEvalASSET is a dataset for learning learnable metrics using modern language models.
1 paper · 0 benchmarks
Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.