{"url":"/dataset/istella-letor","name":"Istella LETOR","full_name":"Istella Learning to Rank","description_markdown":"The Istella LETOR full dataset is composed of 33,018 queries and 220 features representing each query-document pair. It consists of 10,454,629 examples labeled with relevance judgments ranging from 0 (irrelevant) to 4 (perfectly relevant). The average number of per-query examples is 316. It has been splitted in train and test sets according to a 80%-20% scheme.","description_withheld":null,"homepage":"http://quickrank.isti.cnr.it/istella-dataset/","introduced_date":"2016-12-01","introduced_date_note":null,"introduced_by":null,"license":{"name":"Custom","url":"http://library.istella.it/dataset/istella-letor-LA.txt"},"modalities":[],"tasks":[{"name":"Document Ranking","url":"/task/document-ranking","datasets_with_task":"/datasets/task/document-ranking"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Istella LETOR"],"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."}