Webpages have been a rich resource for language and vision-language tasks. Yet only pieces of webpages are kept: image-caption pairs, long text articles, or raw HTML, never all in one place. Webpage tasks have resultingly received little attention and structured image-text data underused. To study multimodal webpage understanding, we introduce the Wikipedia Webpage 2M (WikiWeb2M) suite; the first to retain the full set of images, text, and structure data available in a page. WikiWeb2M can be used for tasks like page description generation, section summarization, and contextual image captioning.
WikiWeb2M: A Page-Level Multimodal Wikipedia Dataset
WikiWeb2M is introduced to provide a comprehensive dataset containing images, text, and structure data from Wikipedia for multimodal webpage understanding tasks.
- Year
- 2023
- Venue
- arXiv 2023
- Authors
- 8
- Hosting
- Abstract onlyARXIV-DEFAULT
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- Abstract & full text
- arxiv.org/abs/2305.05432ARXIV-DEFAULT
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