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| http://dx.doi.org/10.1016/j.pcad.2024.09.006 | DOI Listing |
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Sharing cooking recipes is a great way to exchange culinary ideas and provide instructions for food preparation. However, categorizing raw recipes found online into appropriate food genres can be challenging due to a lack of adequate labeled data. In this study, we present a dataset named the "Assorted, Archetypal, and Annotated Two Million Extended (3A2M+) Cooking Recipe Dataset" that contains two million culinary recipes labeled in respective categories with extended named entities extracted from recipe descriptions.
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Department of Urology, The University of Wisconsin School of Medicine and Public Health, Madison, WI. Electronic address:
Objective: To utilize patient feedback to identify areas of need for information and ways to improve delivery of education, due to recognition that cystectomy and urinary diversion is a complex operation often overwhelming patients and caregivers.
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