MegaWika: Millions of reports and their sources across 50 diverse languages
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Abstract (arXiv)
To foster the development of new models for collaborative AI-assisted report generation, we introduce MegaWika, consisting of 13 million Wikipedia articles in 50 diverse languages, along with their 71 million referenced source materials. We process this dataset for a myriad of applications, going beyond the initial Wikipedia citation extraction and web scraping of content, including translating non-English articles for cross-lingual applications and providing FrameNet parses for automated semantic analysis. MegaWika is the largest resource for sentence-level report generation and the only report generation dataset that is multilingual. We manually analyze the quality of this resource through a semantically stratified sample. Finally, we provide baseline results and trained models for crucial steps in automated report generation: cross-lingual question answering and citation retrieval.
Key facts. Cited by 9 papers in the map (data through 14 Oct 2026). Builds on 26 of its 32 references that are in the map. First posted on arXiv 13 Jul 2023.
Builds on
26 of 32 references.
References · 26
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14 more
- 2021Exploring and Distilling Posterior and Prior Knowledge for Radiology Report Generationcited by 162
- 2020MKQA: A Linguistically Diverse Benchmark for Multilingual Open Domain Question Answeringcited by 153
- 2020XOR QA: Cross-lingual Open-Retrieval Question Answeringcited by 121
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Built on by
Citing papers per year: 2024: 2; 2025: 6; 2026: 1.
9 papers.
- 2025mmBERT: A Modern Multilingual Encoder with Annealed Language Learningcited by 45
- 2024On the Evaluation of Machine-Generated Reportscited by 23
- 2024AboutMe: Using Self-Descriptions in Webpages to Document the Effects of English Pretraining Data Filterscited by 22
- 2025WikiVideo: Article Generation from Multiple Videoscited by 13
- 2025MegaWika 2: A More Comprehensive Multilingual Collection of Articles and their Sourcescited by 3
- 2025MixtureVitae: Open Web-Scale Pretraining Dataset With High Quality Instruction and Reasoning Data Built from Permissive-First Text Sourcescited by 3
- 2025Pragyaan: Designing and Curating High-Quality Cultural Post-Training Datasets for Indian Languagescited by 3
- 2025Seeing Through the MiRAGE: Evaluating Multimodal Retrieval Augmented Generationcited by 1
- 2026Knowledge Pull Requests for Continual Document Authoringcited by 0
- 2026Knowledge Pull Requests for Continual Document Authoring22 Sep 2026
- 2025Seeing Through the MiRAGE: Evaluating Multimodal Retrieval Augmented Generation28 Oct 2025
- 2025Pragyaan: Designing and Curating High-Quality Cultural Post-Training Datasets for Indian Languages8 Oct 2025
- 2025MixtureVitae: Open Web-Scale Pretraining Dataset With High Quality Instruction and Reasoning Data Built from Permissive-First Text Sources29 Sep 2025
- 2025mmBERT: A Modern Multilingual Encoder with Annealed Language Learning8 Sep 2025
- 2025MegaWika 2: A More Comprehensive Multilingual Collection of Articles and their Sources5 Aug 2025
- 2025WikiVideo: Article Generation from Multiple Videos1 Apr 2025
- 2024On the Evaluation of Machine-Generated Reports2 May 2024
- 2024AboutMe: Using Self-Descriptions in Webpages to Document the Effects of English Pretraining Data Filters12 Jan 2024