{"url":"/dataset/wnlampro","name":"WNLaMPro","full_name":"WordNet Language Model Probing","description_markdown":"The **WordNet Language Model Probing** (**WNLaMPro**) dataset consists of relations between keywords and words. It contains 4 different kinds of relations: Antonym, Hypernym, Cohyponym and Corruption.\n\nSource: [https://arxiv.org/pdf/1904.06707.pdf](https://arxiv.org/pdf/1904.06707.pdf)","description_withheld":null,"homepage":"https://github.com/timoschick/am-for-bert","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/rare-words-a-major-problem-for-contextualized","title":"Rare Words: A Major Problem for Contextualized Embeddings And How to Fix it by Attentive Mimicking","first_author":"Timo Schick","url":null},"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Language Modelling","url":"/task/language-modelling","datasets_with_task":"/datasets/task/language-modelling"},{"name":"Word Embeddings","url":"/task/word-embeddings","datasets_with_task":"/datasets/task/word-embeddings"}],"languages":[],"variants":["WNLaMPro"],"data_loaders":[{"repo":"https://github.com/timoschick/am-for-bert","url":"https://github.com/timoschick/am-for-bert","frameworks":[]}],"num_papers_in_archive":6,"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."}