MPCCD-MLF: Multi-Round Professional Consultation Dialogue Dataset for Medical, Legal and Financial Domains

The MPCCD-MLF multi round professional consultation dialogue dataset consists of 32175 high-quality multi round dialogue samples, covering three professional fields: healthcare, law, and finance. Each sample is derived from a real professional consulting scenario and adopts a unified multi round interaction structure, which includes at least continuous rounds such as "user questioning expert answering user follow-up expert re answering", used to depict the process of gradually clarifying questions and making decisions in professional consulting. The dataset is stored in standard JSON format, with each sample containing two core fields: system and conversations. Among them, the system field is used to define the domain to which the conversation belongs, expert roles, and response standards; The conversations field is a list of multiple rounds of interactions arranged in chronological order, with each round containing two sub fields: from (message source, valued as User or Expert) and value (corresponding to the conversation text content). All samples have undergone cleaning, desensitization, explicit reconstruction of the thought chain, and quality review of the combination of models and manual methods to ensure high consistency in logical coherence, professionalism, and security of the data. They are suitable for instruction fine-tuning and multi round inference training of large language models in professional fields.