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:
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JSON parsing to load raw human feedback data.
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Tokenization of prompts and responses using Hugging Face tokenizers.
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Truncation and formatting to prepare data for LLM consumption.
Hence, this ensures your dataset is clean, consistent, and properly formatted for efficient LLM training.