{"url":"/dataset/wikidata-14m","name":"Wikidata-14M","full_name":null,"description_markdown":"**Wikidata-14M** is a recommender system dataset for recommending items to Wikidata editors. It consists of 220,000 editors responsible for 14 million interactions with 4 million items.","description_withheld":null,"homepage":"https://github.com/WikidataRec-developer/Wikidata_Recommender","introduced_date":"2021-07-13","introduced_date_note":null,"introduced_by":{"paper":"/paper/learning-to-recommend-items-to-wikidata","title":"Learning to Recommend Items to Wikidata Editors","first_author":"Kholoud Alghamdi","url":null},"license":{"name":"Unknown","url":null},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Recommendation Systems","url":"/task/recommendation-systems","datasets_with_task":"/datasets/task/recommendation-systems"}],"languages":[],"variants":["Wikidata-14M"],"data_loaders":[],"num_papers_in_archive":2,"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":"2026-09-24T18:15:14+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."}