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[GH-ISSUE #103] YFCC100M Caption Preprocessing #91
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Originally created by @normster on GitHub (May 6, 2021).
Original GitHub issue: https://github.com/openai/CLIP/issues/103
Hi,
I'm trying to reproduce the YFCC100M results and would like to know how image captions were preprocessed during training. For instance, how was the caption for the following sample extracted?
Title:
denise%27s+peanut+chickenDescription:
recipe+here%3A+%3Ca+href%3D%22http%3A%2F%2Fallrecipes.com%2FRecipe%2FDenises-Peanut-Chicken%2FDetail.aspx%22%3Eallrecipes.com%2FRecipe%2FDenises-Peanut-Chicken%2FDetail.aspx%3C%2Fa%3E%0Ai+added+1%2F2+teaspoon+of+sriracha+hot+chili+sauce+and+used+1+TBS+of+chunky+peanut+butter+in+place+of+the+2+cups+of+peanuts.Best,
Norman
@naveenkumarmarri commented on GitHub (Oct 6, 2021):
You can decode as follows.
@TonyLianLong commented on GitHub (Oct 25, 2021):
@jongwook In addition to the exact parsing method, could you tell us how a title is merged with the corresponding description text?