mlsanityData to 7 Oct 2026

WikiAtomicEdits: A Multilingual Corpus of Wikipedia Edits for Modeling Language and Discourse

arXiv 1808.09422 ↗First posted 28 Aug 2018cs.CLcited by 26

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Abstract (arXiv)

We release a corpus of 43 million atomic edits across 8 languages. These edits are mined from Wikipedia edit history and consist of instances in which a human editor has inserted a single contiguous phrase into, or deleted a single contiguous phrase from, an existing sentence. We use the collected data to show that the language generated during editing differs from the language that we observe in standard corpora, and that models trained on edits encode different aspects of semantics and discourse than models trained on raw, unstructured text. We release the full corpus as a resource to aid ongoing research in semantics, discourse, and representation learning.

Key facts. Cited by 26 papers in the map (data through 7 Oct 2026). First posted on arXiv 28 Aug 2018.

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Citing papers per year: 2021: 3; 2022: 7; 2023: 7; 2024: 6; 2025: 2; 2026: 1.

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  1. 2021Get Your Vitamin C! Robust Fact Verification with Contrastive Evidencecited by 222
  2. 2024A Design Space for Intelligent and Interactive Writing Assistantscited by 76
  3. 2024Typos that Broke the RAG's Back: Genetic Attack on RAG Pipeline by Simulating Documents in the Wild via Low-level Perturbationscited by 64
  4. 2022Understanding Iterative Revision from Human-Written Textcited by 56
  5. 2022Read, Revise, Repeat: A System Demonstration for Human-in-the-loop Iterative Text Revisioncited by 46
  6. 2022Learning to Model Editing Processescited by 30
  7. 2022arXivEdits: Understanding the Human Revision Process in Scientific Writingcited by 26
  8. 2022NewsEdits: A News Article Revision Dataset and a Document-Level Reasoning Challengecited by 20
  9. 2024CASIMIR: A Corpus of Scientific Articles enhanced with Multiple Author-Integrated Revisionscited by 14
  10. 2024Re3: A Holistic Framework and Dataset for Modeling Collaborative Document Revisioncited by 11
  11. 2025Help Me Write a Story: Evaluating LLMs' Ability to Generate Writing Feedbackcited by 10
  12. 2023To Revise or Not to Revise: Learning to Detect Improvable Claims for Argumentative Writing Supportcited by 8
14 more
  1. 2021Controlling Text Edition by Changing Answers of Specific Questionscited by 6
  2. 2023XATU: A Fine-grained Instruction-based Benchmark for Explainable Text Updatescited by 6
  3. 2023Revealing the Blind Spot of Sentence Encoder Evaluation by HEROScited by 5
  4. 2023DIFFQG: Generating Questions to Summarize Factual Changescited by 3
  5. 2023SemEval-2022 Task 7: Identifying Plausible Clarifications of Implicit and Underspecified Phrases in Instructional Textscited by 3
  6. 2023Audience-specific Explanations for Machine Translationcited by 3
  7. 2025Misspellings in Natural Language Processing: A surveycited by 3
  8. 2021NewsEdits: A Dataset of Revision Histories for News Articles (Technical Report: Data Processing)cited by 2
  9. 2022Bilingual Synchronization: Restoring Translational Relationships with Editing Operationscited by 2
  10. 2024Ruri: Japanese General Text Embeddingscited by 2
  11. 2024NewsEdits 2.0: Learning the Intentions Behind Updating Newscited by 1
  12. 2022An Inclusive Notion of Textcited by 0
  13. 2023WikiIns: A High-Quality Dataset for Controlled Text Editing by Natural Language Instructioncited by 0
  14. 2026RoLegalGEC: Legal Domain Grammatical Error Detection and Correction Dataset for Romaniancited by 0