{"url":"/dataset/wikidata-disamb","name":"Wikidata-Disamb","full_name":null,"description_markdown":"The Wikidata-Disamb dataset is intended to allow a clean and scalable evaluation of NED with Wikidata entries, and to be used as a reference in future research.\r\n\r\nSource: [Named Entity Disambiguation using Deep Learning on Graphs](https://arxiv.org/pdf/1810.09164.pdf)","description_withheld":null,"homepage":"https://github.com/ContextScout/ned-graphs","introduced_date":"2018-10-22","introduced_date_note":null,"introduced_by":{"paper":"/paper/named-entity-disambiguation-using-deep","title":"Named Entity Disambiguation using Deep Learning on Graphs","first_author":"Alberto Cetoli","url":null},"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Entity Disambiguation","url":"/task/entity-disambiguation","datasets_with_task":"/datasets/task/entity-disambiguation"}],"languages":[],"variants":["Wikidata-Disamb"],"data_loaders":[{"repo":"https://github.com/ContextScout/ned-graphs","url":"https://github.com/ContextScout/ned-graphs","frameworks":[]}],"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."}