{"url":"/dataset/touche23-valueeval","name":"Touché23-ValueEval","full_name":null,"description_markdown":"The **Touché23-ValueEval Dataset** is a collection of arguments used for identifying human values behind those arguments. It was created by collecting **9324 arguments** from **6 diverse sources**, including religious texts, political discussions, free-text arguments, newspaper editorials, and online democracy platforms. Each argument was annotated by 3 crowdworkers for **54 values**.\r\n\r\nThis dataset extends the Webis-ArgValues-22 and is designed to investigate approaches for the automated detection of human values behind arguments. Despite the classification difficulty increasing due to the label distribution, the larger dataset allows for training better models.","description_withheld":null,"homepage":"https://huggingface.co/datasets/webis/Touche23-ValueEval","introduced_date":"2023-01-31","introduced_date_note":null,"introduced_by":{"paper":"/paper/the-touche23-valueeval-dataset-for","title":"The Touché23-ValueEval Dataset for Identifying Human Values behind Arguments","first_author":"Nailia Mirzakhmedova","url":null},"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["Touché23-ValueEval"],"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."}