The Dataset for the book chapter on "Classifying User Intent for Effective Prompt Engineering: A Case of a Chatbot for StartupTeams".

This dataset has been used to write a book chapter on the topic of "Classifying User Intent for Effective Prompt Engineering: A Case of a Chatbot for Startup Teams". The dataset contains the following five resources:Startup questions and intent classifications- This resource demonstrates a list of possible questions and the classification of those questions into four intents i.e. reflecting on own experience, seeking information, brainstorming, and seeking advicePrompt_Book_v1- The file contains a brief guide on how questions are classified, a description of prompt patterns and templates, and lastly matching purpose-prompt patternQuestions_classification_script- The Python script used in our work to classify user intentSurvey_questionnaire- The original survey questions asked from the participantssurvey_responses- Survey responses from study respondents