{"url":"/dataset/nell-995","name":"NELL-995","full_name":null,"description_markdown":"NELL-995 KG Completion Dataset","description_withheld":null,"homepage":"","introduced_date":"2017-07-20","introduced_date_note":null,"introduced_by":{"paper":"/paper/deeppath-a-reinforcement-learning-method-for","title":"DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning","first_author":"Wenhan Xiong","url":null},"license":null,"modalities":[],"tasks":[{"name":"Link Prediction","url":"/task/link-prediction","datasets_with_task":"/datasets/task/link-prediction"},{"name":"Complex Query Answering","url":"/task/complex-query-answering","datasets_with_task":"/datasets/task/complex-query-answering"}],"languages":[],"variants":["NELL-995"],"data_loaders":[{"repo":"https://github.com/yiwei-liao/isac","url":"https://github.com/yiwei-liao/isac","frameworks":["tf"]}],"num_papers_in_archive":127,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/complex-query-answering-on-nell-995","task":"Complex Query Answering","dataset_variant":"NELL-995","rows":6,"metrics":["MRR 1p","MRR 2i","MRR 2p","MRR 2u","MRR 3i","MRR 3p","MRR ip","MRR pi","MRR up"],"first_row_in_archive_order":{"model":"QTO","paper":"/paper/answering-complex-logical-queries-on","metrics":{"MRR 1p":"0.607","MRR 2i":"0.425","MRR 2p":"0.241","MRR 2u":"0.204","MRR 3i":"0.506","MRR 3p":"0.216","MRR ip":"0.265","MRR pi":"0.313","MRR up":"0.179"},"code_links":[{"title":"bys0318/qto","url":"https://github.com/bys0318/qto"}]},"note":"rows are the archive's own order at snapshot; 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not a correctness claim."}},{"paper":"/paper/neural-symbolic-models-for-logical-queries-on","title":"Neural-Symbolic Models for Logical Queries on Knowledge Graphs","date":"2022-05-16","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":4,"samples_ran":0,"samples_unverified":4,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/complex-query-answering-with-neural-link-1","title":"Complex Query Answering with Neural Link Predictors","date":"2020-11-06","rows_on_this_dataset":1,"code_links":5,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":7,"samples_ran":5,"samples_unverified":2,"pointer_only_for_licence":4,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/beta-embeddings-for-multi-hop-logical","title":"Beta Embeddings for Multi-Hop Logical Reasoning in Knowledge Graphs","date":"2020-10-22","rows_on_this_dataset":1,"code_links":9,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":14,"samples_ran":8,"samples_unverified":6,"pointer_only_for_licence":1,"claim":"Per-sample execution on synthesized fixtures; 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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."}