MegaWika 2: A More Comprehensive Multilingual Collection of Articles and their Sources
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arXiv
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| Format: | Preprint |
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2025
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| _version_ | 1866916883173736448 |
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| author | Barham, Samuel May, Chandler Van Durme, Benjamin |
| author_facet | Barham, Samuel May, Chandler Van Durme, Benjamin |
| contents | We introduce MegaWika 2, a large, multilingual dataset of Wikipedia articles with their citations and scraped web sources; articles are represented in a rich data structure, and scraped source texts are stored inline with precise character offsets of their citations in the article text. MegaWika 2 is a major upgrade from the original MegaWika, spanning six times as many articles and twice as many fully scraped citations. Both MegaWika and MegaWika 2 support report generation research ; whereas MegaWika also focused on supporting question answering and retrieval applications, MegaWika 2 is designed to support fact checking and analyses across time and language. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2508_03828 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | MegaWika 2: A More Comprehensive Multilingual Collection of Articles and their Sources Barham, Samuel May, Chandler Van Durme, Benjamin Digital Libraries Computation and Language We introduce MegaWika 2, a large, multilingual dataset of Wikipedia articles with their citations and scraped web sources; articles are represented in a rich data structure, and scraped source texts are stored inline with precise character offsets of their citations in the article text. MegaWika 2 is a major upgrade from the original MegaWika, spanning six times as many articles and twice as many fully scraped citations. Both MegaWika and MegaWika 2 support report generation research ; whereas MegaWika also focused on supporting question answering and retrieval applications, MegaWika 2 is designed to support fact checking and analyses across time and language. |
| title | MegaWika 2: A More Comprehensive Multilingual Collection of Articles and their Sources |
| topic | Digital Libraries Computation and Language |
| url | https://arxiv.org/abs/2508.03828 |