{"url":"/dataset/inferwiki","name":"InferWiki","full_name":null,"description_markdown":"**InferWiki** is a Knowledge Graph Completion (KGC) dataset that improves upon existing benchmarks in inferential ability, assumptions, and patterns. First, each testing sample is predictable with supportive data in the training set. Second, InferWiki initiates the evaluation following the open-world assumption and improves the inferential difficulty of the closed-world assumption, by providing manually annotated negative and unknown triples. Third, the dataset includes various inference patterns (e.g., reasoning path length and types) for comprehensive evaluation.","description_withheld":null,"homepage":"https://github.com/TaoMiner/inferwiki","introduced_date":"2021-08-03","introduced_date_note":null,"introduced_by":{"paper":"/paper/are-missing-links-predictable-an-inferential","title":"Are Missing Links Predictable? An Inferential Benchmark for Knowledge Graph Completion","first_author":"Yixin Cao","url":null},"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"},{"name":"Graphs","url":"/datasets/modality/graphs"}],"tasks":[{"name":"Knowledge Graph Completion","url":"/task/knowledge-graph-completion","datasets_with_task":"/datasets/task/knowledge-graph-completion"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["InferWiki"],"data_loaders":[],"num_papers_in_archive":4,"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."}