{"url":"/dataset/diamante","name":"Diamante","full_name":null,"description_markdown":"Diamante is a novel and efficient framework consisting of a data collection strategy and a learning method to boost the performance of pre-trained dialogue models. Two kinds of human feedback are collected and leveraged in Diamante, including explicit demonstration and implicit preference. The Diamante dataset is publicly available at the [LUGE platform](https://www.luge.ai/#/luge/dataDetail?id=52).","description_withheld":null,"homepage":"https://www.luge.ai/#/luge/dataDetail?id=52","introduced_date":"2022-08-30","introduced_date_note":null,"introduced_by":{"paper":"/paper/towards-boosting-the-open-domain-chatbot-with","title":"Towards Boosting the Open-Domain Chatbot with Human Feedback","first_author":"Hua Lu","url":null},"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Open-Domain Dialog","url":"/task/open-domain-dialog","datasets_with_task":"/datasets/task/open-domain-dialog"}],"languages":[{"name":"Chinese","url":"/datasets/language/chinese"}],"variants":["Diamante"],"data_loaders":[],"num_papers_in_archive":4,"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."}