WikiWeb2M: A Page-Level Multimodal Wikipedia Dataset
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.
645b1b1a1a145d2ee9bc36fc
Andrea Burns
645b1b1a1a145d2ee9bc36fd
Krishna Srinivasan
admin_assigned
2023-05-23T10:18:15.113Z
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/avatars/096d479f403cb561bab1dc13f0fc0339.svg
Krishna Srinivasan
user
krishna2
645b1b1a1a145d2ee9bc36fe
Joshua Ainslie
645b1b1a1a145d2ee9bc36ff
Geoff Brown
645b1b1a1a145d2ee9bc3700
Bryan A. Plummer
645b1b1a1a145d2ee9bc3701
Kate Saenko
645b1b1a1a145d2ee9bc3702
Jianmo Ni
645b1b1a1a145d2ee9bc3703
Mandy Guo
WikiWeb2M: A Page-Level Multimodal Wikipedia Dataset
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 is introduced to provide a comprehensive dataset containing images, text, and structure data from Wikipedia for multimodal webpage understanding tasks.
multimodal webpage understanding image-caption pairs long text articles raw HTML page description generation section summarization contextual image captioning