# Data preparation
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This section provides data preparation guides for each training technique and model version.

**Topics**
+ [Validation tools](#nova-data-validation-tools)
+ [Preparing data for SFT on Amazon Nova 2](nova-data-prep-sft-2.md)
+ [Preparing data for RFT on Amazon Nova 2](nova-data-prep-rft-2.md)
+ [Preparing data for CPT on Amazon Nova 2](nova-data-prep-cpt-2.md)

## Validation tools
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Before submitting a fine-tuning job, we recommend validating your dataset to catch formatting issues early. You have two options:
+ **Dataset validation script** – A standalone Python script hosted on GitHub. See the [dataset validation script](https://github.com/aws-samples/amazon-nova-samples/tree/main/customization/bedrock-finetuning/understanding/dataset_validation).
+ **Amazon Nova Forge SDK** – Validation support is built into the SDK. See [Data preparation](https://github.com/aws/nova-forge-sdk#data-preparation) in the Amazon Nova Forge SDK README.