dataset-evaluation
byawslabs· 90 skills
Validates dataset formatting and quality for SageMaker model fine-tuning (SFT, DPO, or RLVR). Use when the user says "is my dataset okay", "evaluate my data", "check my training data", "I have my own data", or before starting any fine-tuning job. Detects file format, checks schema compliance against the selected model and technique, and reports whether the data is ready for training or evaluation.
How to install dataset-evaluation?
awslabs/agent-plugins/dataset-evaluation
$npx -y skills add awslabs/agent-plugins --skill dataset-evaluationInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/awslabs/agent-plugins" --skill "awslabs/agent-plugins/dataset-evaluation"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/awslabs/agent-plugins" that are relevant to the current task. Run `npx skills add "https://github.com/awslabs/agent-plugins"` and select the relevant skills, then follow their instructions.
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