데이터셋 탐색

The Multi-domain Wizard-of-Oz (MultiWOZ) dataset is a large-scale human-human conversational corpus spanning over seven domains, containing 8438 multi-turn dialogues, with each dialogue averaging 14 turns. Different from existing standard datasets like WOZ and DSTC2, which contain less than 10 slots and only a few hundred values, MultiWOZ has 30 (domain, slot) pairs and over 4,500 possible values. The dialogues span seven domains: restaurant, hotel, attraction, taxi, train, hospital and police. Source: Contents Image Source: Zhang et al

HR-Multiwoz is a fully-labeled dataset of 550 conversations spanning 10 HR domains to evaluate LLM Agent. It is the first labeled open-sourced conversation dataset in the HR domain for NLP research. Please refer to HR-MultiWOZ: A Task Oriented Dialogue (TOD) Dataset for HR LLM Agent for details about the dataset construction. Dataset Sources Repository: xwjzds/extractive_qa_question_answering_hr Paper: HR-MultiWOZ: A Task Oriented Dialogue (TOD) Dataset for HR LLM Agent Leaderboard: github repo

MultiWOZ-coref, (or MultiWOZ 2.3) is an extension of the MultiWOZ dataset that adds co-reference annotations in addition to corrections of dialogue acts and dialogue states. Source: https://github.com/lexmen318/MultiWOZ_2.3