{"url":"/dataset/water-footprint-recommender-system-data","name":"Water Footprint Recommender System Data","full_name":null,"description_markdown":"It contains data from two different realities: Food.com, a well-known American recipe site, and Planeat, an Italian site that allows you to plan recipes to save food waste. The dataset is divided into two parts: embeddings, which can be used directly to execute the work and receive suggestions, and raw data, which must first be processed into embeddings.","description_withheld":null,"homepage":"https://www.kaggle.com/datasets/turconiandrea/water-footprint-recommender-system-data","introduced_date":"2022-04-24","introduced_date_note":null,"introduced_by":{"paper":"/paper/food-recommendations-for-reducing-water","title":"Food Recommendations for Reducing Water Footprint","first_author":"Ignazio Gallo","url":null},"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"},{"name":"Tables","url":"/datasets/modality/tables"}],"tasks":[{"name":"Food recommendation","url":"/task/food-recommendation","datasets_with_task":"/datasets/task/food-recommendation"}],"languages":[{"name":"English","url":"/datasets/language/english"},{"name":"Italian","url":"/datasets/language/italian"}],"variants":["Water Footprint Recommender System Data"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-25T09:33:49+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}