{"url":"/dataset/carecall","name":"CareCall","full_name":"CareCall for Seniors","description_markdown":"**carecall** is a Korean dialogue dataset for role-satisfying dialogue systems. The dataset was composed with a few samples of human-written dialogues using in-context few-shot learning of large-scale LMs. Large-scale LMs can generate dialogues with a specific personality, given a prompt consisting of a brief description of the chatbot’s properties and few dialogue examples. We use this method to build the entire dataset.","description_withheld":null,"homepage":"https://github.com/naver-ai/carecall-corpus","introduced_date":"2022-04-30","introduced_date_note":null,"introduced_by":{"paper":"/paper/building-a-role-specified-open-domain-1","title":"Building a Role Specified Open-Domain Dialogue System Leveraging Large-Scale Language Models","first_author":"Sanghwan Bae","url":null},"license":{"name":"CC BY-NC 4.0","url":"https://github.com/naver-ai/carecall-corpus/blob/main/LICENSE"},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Few-Shot Learning","url":"/task/few-shot-learning","datasets_with_task":"/datasets/task/few-shot-learning"},{"name":"Dialogue Generation","url":"/task/dialogue-generation","datasets_with_task":"/datasets/task/dialogue-generation"}],"languages":[{"name":"Korean","url":"/datasets/language/korean"}],"variants":["CareCall"],"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."}