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.
Wikipedia Webpage 2M (WikiWeb2M) multimodal webpage understanding page description generation section summarization contextual image captioning