You can write a script to preprocess human feedback datasets for LLM reinforcement learning by cleaning, tokenizing, and formatting prompt-response-reward pairs into a structured format ready for training.
Here is the code snippet below:

In the above code we are using the following key points:
- 
JSON parsing to load raw human feedback data.
 
- 
Tokenization of prompts and responses using Hugging Face tokenizers.
 
- 
Truncation and formatting to prepare data for LLM consumption.
 
Hence, this ensures your dataset is clean, consistent, and properly formatted for efficient LLM training.