{"url":"/dataset/ascentkb","name":"Ascent KB","full_name":null,"description_markdown":"This dataset contains **8.9M commonsense assertions** extracted by the Ascent pipeline developed at the [Max Planck Institute for Informatics](https://mpi-inf.mpg.de). The focus of this dataset is on everyday concepts such as *elephant*, *car*, *laptop*, etc. The current version of Ascent KB (v1.0.0) is approximately **19 times larger than ConceptNet** (note that, in this comparison, non-commonsense knowledge in ConceptNet such as lexical relations is excluded).","description_withheld":null,"homepage":"https://ascent.mpi-inf.mpg.de","introduced_date":"2020-11-02","introduced_date_note":null,"introduced_by":{"paper":"/paper/advanced-semantics-for-commonsense-knowledge","title":"Advanced Semantics for Commonsense Knowledge Extraction","first_author":"Tuan-Phong Nguyen","url":null},"license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Commonsense Knowledge Base Construction","url":"/task/commonsense-knowledge-base-construction","datasets_with_task":"/datasets/task/commonsense-knowledge-base-construction"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Ascent KB"],"data_loaders":[{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/tuanphong/ascent_kb","frameworks":["tf","pytorch","jax"]},{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/ascent_kb","frameworks":["tf","pytorch","jax"]}],"num_papers_in_archive":9,"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."}