{"url":"/dataset/dialsummeval","name":"DialSummEval","full_name":null,"description_markdown":"The **DialSummEval** is a multi-faceted dataset of human judgments. It was created to revisit the evaluation of dialogue summarization models. The dataset contains the outputs of 14 models on SAMSum, a dialogue summary dataset.\r\n\r\nThe creators of DialSummEval observed that current dialogue summarization models have flaws that may not be well exposed by frequently used metrics such as ROUGE. Therefore, they re-evaluated 18 categories of metrics in terms of four dimensions: coherence, consistency, fluency, and relevance. They also conducted a unified human evaluation of various models in dialogue summarization for the first time.","description_withheld":null,"homepage":"https://github.com/kite99520/dialsummeval","introduced_date":"2022-07-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/dialsummeval-revisiting-summarization-1","title":"DialSummEval: Revisiting Summarization Evaluation for Dialogues","first_author":"Mingqi Gao","url":null},"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["DialSummEval"],"data_loaders":[],"num_papers_in_archive":3,"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."}