{"url":"/dataset/summzoo","name":"SummZoo","full_name":null,"description_markdown":"**SummZoo**, a benchmark consists of 8 diverse summarization tasks with multiple sets of few-shot samples for each task, covering both monologue and dialogue domains.\r\n\r\nSource: [UniSumm: Unified Few-shot Summarization with Multi-Task Pre-Training and Prefix-Tuning](https://arxiv.org/pdf/2211.09783v1.pdf)\r\n\r\nImage Source: [https://arxiv.org/pdf/2211.09783v1.pdf](https://arxiv.org/pdf/2211.09783v1.pdf)","description_withheld":null,"homepage":"https://github.com/microsoft/UniSumm","introduced_date":"2022-11-17","introduced_date_note":null,"introduced_by":{"paper":"/paper/unisumm-unified-few-shot-summarization-with","title":"UniSumm and SummZoo: Unified Model and Diverse Benchmark for Few-Shot Summarization","first_author":"Yulong Chen","url":null},"license":{"name":"SummZoo","url":"https://github.com/microsoft/UniSumm/blob/main/LICENSE"},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Extreme Summarization","url":"/task/extreme-summarization","datasets_with_task":"/datasets/task/extreme-summarization"},{"name":"Abstractive Dialogue Summarization","url":"/task/abstractive-dialogue-summarization","datasets_with_task":"/datasets/task/abstractive-dialogue-summarization"}],"languages":[],"variants":["SummZoo"],"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."}