TIQA: Technical Interview Question Answering dataset

This is a Question Answering dataset comprising a list of technical interview-related questions and answers derived from two textbooks, one for Machine Learning and one for Deep Learning subjects. Each question-answer (QA) pair is accompanied by the subject (Machine Learning or Deep Learning) of the textbook and the specific context (section content from the textbook) from which the QA pair was curated. It also contain the Type information of each question.
The dataset is available in JSON lines format, with each line representing a JSON object. Each JSON object includes the following keys: Document, Question, Question Type, Subject, and Answer. The Document key contains the context paragraph(s) from the textbook in the form of a list of sentences. The Question key contains the specific question, Question Type contains the type of the Question, and the Subject key indicates the subject of the textbook, i.e., Machine Learning or Deep Learning. The Answer key includes the indexes of the context sentences that form the answer to the question. Note that the first sentence of the context has an index of 0.