{"url":"/dataset/linguistic-benchmark","name":"Linguistic Benchmark","full_name":null,"description_markdown":"The Linguistic Benchmark (JSON), consisting of 30 questions was developed to be easy for human adults to answer but challenging for LLMs. It is designed to assess the well-documented limitations of LLMs across domains such as spatial reasoning, linguistic understanding, relational thinking, mathematical reasoning, knowledge of basic scientific concepts, and common sense. This benchmark is a useful tool to gauge the current capabilities capabilities of LLMs. The questions serve as a linguistic benchmark to examine model performance in several key domains where they have known limitations.","description_withheld":null,"homepage":"","introduced_date":"2024-05-30","introduced_date_note":null,"introduced_by":{"paper":"/paper/easy-problems-that-llms-get-wrong","title":"Easy Problems That LLMs Get Wrong","first_author":"Sean Williams","url":null},"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Linguistic Benchmark"],"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."}