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Add document-retrieval to Hub as a task #1097
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@@ -676,6 +676,11 @@ export const PIPELINE_DATA = { | |||||||
color: "red", | ||||||||
hideInDatasets: true, | ||||||||
}, | ||||||||
"document-retrieval": { | ||||||||
name: "Document Retrieval", | ||||||||
modality: "multimodal", | ||||||||
color: "yellow", | ||||||||
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Don't think there are many datasets related to this task? There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. there's a whole benchmark called ViDoRe and more datasets outside of this benchmark, and similar datasets exist in multiple languages so I would expect more datasets -- https://huggingface.co/spaces/vidore/vidore-leaderboard for instance these are what I found for Turkish There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. I'm not in favor of image-document-retrieval, it sounds a bit like images are involved separately and sounds off imo. we have a similar task actually, visual-question-answering which separates from textual QA |
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}, | ||||||||
"any-to-any": { | ||||||||
name: "Any-to-Any", | ||||||||
modality: "multimodal", | ||||||||
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<svg xmlns="http://www.w3.org/2000/svg" width="1em" height="1em" viewBox="0 0 32 32" {...$$props}><path fill="currentColor" d="m27.4 14.7l-6.1-6.1C21 8.2 20.5 8 20 8h-8c-1.1 0-2 .9-2 2v18c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V16.1c0-.5-.2-1-.6-1.4M20 10l5.9 6H20zm-8 18V10h6v6c0 1.1.9 2 2 2h6v10z"/><path fill="currentColor" d="M6 18H4V4c0-1.1.9-2 2-2h14v2H6z"/></svg> |
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Sounds a bit NLP-y to me. Could we use something like "visual-document-retrieval", for symmetry with "visual-question-answering"?