Running and Executing Python Code on Google Colaboratory

This video tutorial guides viewers through executing Python code to prepare prompts and completions from a dataset using Google Colab. It covers setting up the environment, accessing Google Drive, and running the code step-by-step to generate a new CSV file with the necessary data for fine-tuning models.

What is the purpose of the Python code discussed in the lesson?

Describe the steps taken to prepare the dataset for use in the code.

What is Google Colab and how is it used in this lesson?

Explain the process of mounting Google Drive in Google Colab.

What are the two lists created in the code, and what is their purpose?

How does the for loop function in the context of the dataset?

What is the significance of the generated prompt and generated completion columns in the final CSV file?