{"url":"/dataset/kg20c","name":"KG20C","full_name":"A scholarly knowledge graph benchmark dataset","description_markdown":"KG20C is a Knowledge Graph about high quality papers from 20 top computer science Conferences. It can serve as a standard benchmark dataset in scholarly data analysis for several tasks, including knowledge graph embedding, link prediction, recommendation systems, and question answering . \r\n\r\nFor more information and download, please see the dataset homepage.","description_withheld":null,"homepage":"https://github.com/tranhungnghiep/KG20C","introduced_date":"2019-09-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/exploring-scholarly-data-by-semantic-query-on","title":"Exploring Scholarly Data by Semantic Query on Knowledge Graph Embedding Space","first_author":"Hung Nghiep Tran","url":null},"license":{"name":"CC BY-NC","url":"https://github.com/tranhungnghiep/KG20C/blob/main/README.md#license"},"modalities":[{"name":"Graphs","url":"/datasets/modality/graphs"}],"tasks":[{"name":"Question Answering","url":"/task/question-answering","datasets_with_task":"/datasets/task/question-answering"},{"name":"Link Prediction","url":"/task/link-prediction","datasets_with_task":"/datasets/task/link-prediction"},{"name":"Recommendation Systems","url":"/task/recommendation-systems","datasets_with_task":"/datasets/task/recommendation-systems"},{"name":"Knowledge Graphs","url":"/task/knowledge-graphs","datasets_with_task":"/datasets/task/knowledge-graphs"},{"name":"Graph Embedding","url":"/task/graph-embedding","datasets_with_task":"/datasets/task/graph-embedding"},{"name":"Knowledge Graph Embedding","url":"/task/knowledge-graph-embedding","datasets_with_task":"/datasets/task/knowledge-graph-embedding"}],"languages":[],"variants":["KG20C"],"data_loaders":[],"num_papers_in_archive":5,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/link-prediction-on-kg20c","task":"Link Prediction","dataset_variant":"KG20C","rows":3,"metrics":["MRR","Hits@1","Hits@3","Hits@10"],"first_row_in_archive_order":{"model":"MEI (small)","paper":"/paper/multi-partition-embedding-interaction-with","metrics":{"Hits@1":"0.157","Hits@10":"0.368","Hits@3":"0.258","MRR":"0.230"},"code_links":[{"title":"tranhungnghiep/AnalyzeKGE","url":"https://github.com/tranhungnghiep/AnalyzeKGE"},{"title":"tranhungnghiep/MEI-KGE","url":"https://github.com/tranhungnghiep/MEI-KGE"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/multi-relational-embedding-for-knowledge","title":"Multi-Relational Embedding for Knowledge Graph Representation and Analysis","date":"2020-09-28","rows_on_this_dataset":2,"code_links":4,"syntology":null},{"paper":"/paper/multi-partition-embedding-interaction-with","title":"Multi-Partition Embedding Interaction with Block Term Format for Knowledge Graph Completion","date":"2020-06-29","rows_on_this_dataset":1,"code_links":2,"syntology":null}],"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."}