{"url":"/dataset/text2kgbench","name":"Text2KGBench","full_name":null,"description_markdown":"**Text2KGBench** is a benchmark to evaluate the capabilities of language models to generate KGs from natural language text guided by an ontology. Given an input ontology and a set of sentences, the task is to extract facts from the text while complying with the given ontology (concepts, relations, domain/range constraints) and being faithful to the input sentences.","description_withheld":null,"homepage":"https://zenodo.org/record/7916716#.ZFrX5ezML0r","introduced_date":"2023-08-04","introduced_date_note":null,"introduced_by":{"paper":"/paper/text2kgbench-a-benchmark-for-ontology-driven","title":"Text2KGBench: A Benchmark for Ontology-Driven Knowledge Graph Generation from Text","first_author":"Nandana Mihindukulasooriya","url":null},"license":{"name":"Creative Commons Attribution 4.0 International","url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Text2KGBench"],"data_loaders":[],"num_papers_in_archive":2,"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."}