{"url":"/dataset/psychometric-nlp","name":"Psychometric NLP","full_name":null,"description_markdown":"Psychometric NLP is a corpus for psychometric natural language processing (NLP) related to important dimensions such as trust, anxiety, numeracy, and literacy, in the health domain. The dataset aligns user text with their survey-based response items and encompasses survey-based psychometric measures, accompanying user-generated text, and self-reported demographic information, including race, sex, age, income, and education from 8,502 respondents.","description_withheld":null,"homepage":"https://github.com/nd-hal/fair-psych-nlp","introduced_date":"2021-11-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/constructing-a-psychometric-testbed-for-fair","title":"Constructing a Psychometric Testbed for Fair Natural Language Processing","first_author":"Ahmed Abbasi","url":null},"license":{"name":"MIT License","url":"https://opensource.org/licenses/MIT"},"modalities":[],"tasks":[],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Psychometric NLP"],"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."}