title: WikiWeb2M: A Page-Level Multimodal Wikipedia Dataset
summary: 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.
paper_authors._id: 645b1b1a1a145d2ee9bc36fc
paper_authors.name: Andrea Burns
paper_authors._id: 645b1b1a1a145d2ee9bc36fd
paper_authors.name: Krishna Srinivasan
paper_authors.status: admin_assigned
paper_authors.statusLastChangedAt: 2023-05-23T10:18:15.113Z
paper_authors._id: 6266ea037cc13cb44d35a168
paper_authors.avatarUrl: /avatars/096d479f403cb561bab1dc13f0fc0339.svg
paper_authors.fullname: Krishna Srinivasan
paper_authors.type: user
paper_authors.user: krishna2
paper_authors._id: 645b1b1a1a145d2ee9bc36fe
paper_authors.name: Joshua Ainslie
paper_authors._id: 645b1b1a1a145d2ee9bc36ff
paper_authors.name: Geoff Brown
paper_authors._id: 645b1b1a1a145d2ee9bc3700
paper_authors.name: Bryan A. Plummer
paper_authors._id: 645b1b1a1a145d2ee9bc3701
paper_authors.name: Kate Saenko
paper_authors._id: 645b1b1a1a145d2ee9bc3702
paper_authors.name: Jianmo Ni
paper_authors._id: 645b1b1a1a145d2ee9bc3703
paper_authors.name: Mandy Guo
paper_title: WikiWeb2M: A Page-Level Multimodal Wikipedia Dataset
paper_summary: 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.
paper_ai_keywords: Wikipedia Webpage 2M (WikiWeb2M) multimodal webpage understanding page description generation section summarization contextual image captioning