MegaWika: Millions of reports and their sources across 50 diverse languages

• URL: http://arxiv.org/abs/2307.07049v1
• Date: Thu, 13 Jul 2023 20:04:02 GMT
• Title: MegaWika: Millions of reports and their sources across 50 diverse languages
• Authors: Samuel Barham and Orion Weller and Michelle Yuan and Kenton Murray and Mahsa Yarmohammadi and Zhengping Jiang and Siddharth Vashishtha and Alexander Martin and Anqi Liu and Aaron Steven White and Jordan Boyd-Graber and Benjamin Van Durme
• Abstract summary: MegaWika consists 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, including translating non-English articles for cross-lingual applications. MegaWika is the largest resource for sentence-level report generation and the only report generation dataset that is multilingual.
• Score: 74.3909725023673
• License: http://creativecommons.org/licenses/by-sa/4.0/
• Abstract: 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.

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