Chatbots for Beginners: A Complete Guide to Build Chatbots - Deep Learning-Based Chatbot Architecture and Development: D

The video tutorial explains how to load train and test data files into a program using Python's pickle module. It demonstrates checking the data types and lengths, revealing that both datasets are lists. The tutorial further explains the structure of the data, which includes stories, questions, and answers, and how this data can be used to train a chatbot. The video concludes with a preview of joining the datasets to extract vocabulary and develop a set of stories and questions.

What are the two types of question-answer texts mentioned in the video?

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Explain the process of loading the train data using pickle.

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What is the significance of checking the type of test data?

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How do you determine the length of the test and train data?

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Describe the format of the train data as mentioned in the video.

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What are the three parts of the data structure used for training the chatbot?

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Why is it important to join both train and test data?

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