B1.4 Prepare data for GPT3.5 OR gpt 4.o to train the model

[Guanweiyi1999]

Read the plugin code logic and organize the training data (in a form suitable for GPT3.5)

• [x] Understand the Code: Begin by thoroughly reading and understanding the plugin code. This includes identifying the key functionalities, such as how shortcodes are created, how they interact with WordPress, and the logic behind each function.
• [x] Extract Relevant Information: Identify the parts of the code that would be valuable in generating training data. For instance, if the plugin allows for dynamic content through shortcodes, you’d want to include examples of how those shortcodes are structured and used.
• [x] Structure the Training Data: The training data for GPT-3.5 fine-tuning should be in a JSONL (JSON Lines) format, where each line is a valid JSON object. Each object should contain a conversation between the user and the assistant.
• [x] Data Validation: Ensure that all JSON objects are valid and that the structure is consistent throughout the file. A small mistake in formatting could cause errors during the fine-tuning process.

[2Jus2]

LGTM

[BillyHeYifan]

Organized the training data by thoroughly analyzing the plugin code logic. Extracted relevant information for shortcode generation and structured the dataset in JSONL format. Ensured all data points are validated and consistent, minimizing the risk of formatting errors during the fine-tuning process.