{"url":"/dataset/ckbp-v2","name":"CKBP v2","full_name":null,"description_markdown":"**CKBP v2** is a new CSKB Population benchmark, which addresses the two mentioned problems by using experts instead of crowd-sourced annotation and by adding diversified adversarial samples to make the evaluation set more representative.\r\n\r\nSource: [CKBP v2: An Expert-Annotated Evaluation Set for Commonsense Knowledge Base Population](https://arxiv.org/pdf/2304.10392v1.pdf)\r\n\r\nImage Source: [CKBP v2: An Expert-Annotated Evaluation Set for Commonsense Knowledge Base Population](https://arxiv.org/pdf/2304.10392v1.pdf)","description_withheld":null,"homepage":"https://github.com/hkust-knowcomp/cskb-population","introduced_date":"2023-04-20","introduced_date_note":null,"introduced_by":{"paper":"/paper/ckbp-v2-an-expert-annotated-evaluation-set","title":"CKBP v2: Better Annotation and Reasoning for Commonsense Knowledge Base Population","first_author":"Tianqing Fang","url":null},"license":{"name":"MIT License","url":"https://github.com/HKUST-KnowComp/CSKB-Population/blob/main/LICENSE"},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["CKBP v2"],"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":"2026-09-24T18:15:14+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."}