{"url":"/dataset/the-trec-fair-ranking-track-2020","name":"The TREC Fair Ranking track 2020","full_name":null,"description_markdown":"The TREC Fair Ranking track evaluates systems according to how well they fairly rank documents. The 2020 focuses on scholarly search and fairly ranking academic abstracts and papers from authors belonging to different groups.","description_withheld":null,"homepage":"https://fair-trec.github.io/2020/","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["The TREC Fair Ranking track 2020"],"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."}