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Newsela

Introduced by Wei Xu et al. in Problems in Current Text Simplification Research: New Data Can Help1 Jan 2015 archive 2025-07-28

The Newsela dataset was introduced by Xu et al. in their research on text simplification. It is a corpus that includes thousands of news articles professionally leveled to different reading complexities. The dataset is used for academic research in fields such as text difficulty and text simplification. It is made available to academic partners upon request. The dataset is often used as a benchmark in the field of text simplification. Please note that the Newsela dataset is different from the NELA datasets, which are collections of news articles for the study of media bias and other applications.

Homepage Benchmarks Papers JSON

Benchmarks archive 2025-07-28

All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

		First row (archive order)	Paper	Code
Text Simplification	Newsela	CRF Alignment + Transformer SARI 36.6	Neural CRF Model for Sentence Alignment in Text Simplification	chaojiang06/wiki-auto	13	Compare

Papers archive 2025-07-28

11 shown of 11 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 106. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

			Date	Samples run Syntology
Iterative Edit-Based Unsupervised Sentence Simplification	1	1	17 Jun 2020	not harvested
Neural CRF Model for Sentence Alignment in Text Simplification	1	1	5 May 2020	ran 0 of 1 samples (1 unverified; 1 pointer-only for licence)
EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing	1	1	19 Jun 2019	not harvested
Complexity-Weighted Loss and Diverse Reranking for Sentence Simplification	2	1	4 Apr 2019	not harvested
Integrating Transformer and Paraphrase Rules for Sentence Simplification	1	1	26 Oct 2018	not harvested
Dynamic Multi-Level Multi-Task Learning for Sentence Simplification	0	1	19 Jun 2018	not harvested
Sentence Simplification with Memory-Augmented Neural Networks	0	2	20 Apr 2018	not harvested
Learning How to Simplify From Explicit Labeling of Complex-Simplified Text Pairs	1	1	1 Nov 2017	not harvested
Sentence Simplification with Deep Reinforcement Learning	1	2	31 Mar 2017	not harvested
Hybrid Simplification using Deep Semantics and Machine Translation	0	1	1 Jun 2014	not harvested
Sentence Simplification by Monolingual Machine Translation	0	1	1 Jul 2012	not harvested

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

Text Simplification

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

No modality tagged.

Languages archive 2025-07-28

English

Variants archive 2025-07-28

Newsela

1 variant name, as the archive lists them.

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