{"url":"/task/personalized-and-emotional-conversation","name":"Personalized and Emotional Conversation","slug":"personalized-and-emotional-conversation","description_markdown":"Personalized and Emotional Conversation (**PEC**) is defined as follows: Given the personalized information ($P_{R1}$ and $P_{R2}$) of two speakers, their conversation context $C$, the emotion $E_K$ and DA $D_K$ of the response to be generated, and the personalized information $P_{K}$ of the responder, the goal is to generate an anthropomorphic response $Y$.\r\n\\begin{equation}\r\nY = argmax_{Y'}P(Y'|C, E_K, D_K, P_K) \\label{task_definition}\r\n\\end{equation}\r\n\r\nParticularly, context $C=\\{(U_1,E_1,D_1,P_1),\\cdots,(U_{K-1},E_{K-1},D_{K-1},P_{K-1})\\}$ contains multi-turn conversation content (i.e., utterance $U_i$), emotion $E_i$ of the associated utterance, DA $D_i$ of the associated utterance, and personalized information $P_i$ of the associated speaker.","categories":[{"name":"Natural Language Processing","url":"/area/natural-language-processing"}],"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","slug_source":"archive_url"},"counts":{"papers_tagged":2,"papers_with_code":1,"benchmarks":1,"benchmark_tables_in_archive":1,"benchmark_tables_shown":1,"benchmark_tables_withheld_as_spam":0,"benchmark_definition":"a leaderboard table with at least one row; benchmark_tables_shown also counts the zero-row tables; benchmark_tables_in_archive adds the tables withheld as spam","datasets":1,"subtasks":0,"parent_tasks":1},"benchmarks":[{"leaderboard":"/sota/personalized-and-emotional-conversation-on","slug":"personalized-and-emotional-conversation-on","dataset":"CPED","dataset_url":"/dataset/cped","rows_in_archive":9,"metrics":["PPL","BLEU","Distinct-1","Distinct-2","Greedy Embedding","Average Embedding","bertscore"],"first_row_in_archive_order":{"model":"GPT-{emo}","paper_title":"CPED: A Large-Scale Chinese Personalized and Emotional Dialogue Dataset for Conversational AI","paper_url":"/paper/cped-a-large-scale-chinese-personalized-and-1","paper_date":"2022-05-29","arxiv_id":"2205.14727","code_links":[{"title":"scutcyr/CPED","url":"https://github.com/scutcyr/CPED"}],"syntology":null}}],"datasets":[{"url":"/dataset/cped","name":"CPED","full_name":"Chinese Personalized and Emotional Dialogue","num_papers_in_archive":15}],"subtasks":[],"parent_tasks":[{"url":"/task/conversational-response-generation","name":"Conversational Response Generation"}],"papers":{"order":"repositories listed in the archive (desc), then date (desc); the archive holds no stars","population":"papers tagged with this task that list at least one repository in the archive","shown":1,"of":1,"tagged_in_all":2,"items":[{"url":"/paper/cped-a-large-scale-chinese-personalized-and-1","title":"CPED: A Large-Scale Chinese Personalized and Emotional Dialogue Dataset for Conversational AI","date":"2022-05-29","arxiv_id":"2205.14727","repositories_listed":1,"syntology":null}],"syntology_records":0,"syntology_note":"a paper without a record is not a recorded non-run: it may lack an arXiv id or simply be absent from the graph layer"},"description_links":{"kept":0,"unwrapped_to_text":0,"bare_urls_linked":0,"relative_images_dropped":0,"rule":"internal links are kept only when the target slug exists in the catalog"},"syntology":{"read_at":"2026-09-24T18:15:14+00:00","claim":"Per-sample execution status on synthesized fixtures ('ran N of M samples'); not a correctness claim and not a ranking signal.","status_vocabulary":{"ran_honours":"ran, honoured the contract we drafted","ran_violates":"ran, violated the contract we drafted","ran_draft_wrong":"ran; our contract draft was wrong, not the code","ran_fixture":"ran; our fixture could not drive it","ran":"ran on a synthesized input","unverified":"unverified (harvested, no recorded run)"}},"not_shown":{"libraries":"the archive has no per-task library table","trend_sparklines":"the Trend column of the benchmarks table was a rendered image; it is not in the archive","social_and_latest_sorts":"stars and social signals are not in the archive"}}