Ruby
Test LLM outputs with Ruby metrics. Assess token overlap for translation accuracy and language precision.

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Test LLM outputs with Ruby metrics. Assess token overlap for translation accuracy and language precision.
Objective:
Ruby uses program dependency graph (PDG) analysis to evaluate code structure similarity. It compares the logical structure and dependencies of generated code with a reference, identifying structural and semantic alignment, making it well-suited for complex programming tasks where accuracy in logic flow is crucial.
Required Columns in Dataset:
Generated Code, Reference Code
Interpretation:
High Ruby Score: Suggests that the generated code aligns closely with the logical structure of the reference code.
Low Ruby Score: Indicates deviations in code logic or structure, potentially affecting functionality.
Execution via UI:

Execution via SDK:
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Was this helpful?
Was this helpful?
metrics=[
{"name": "Ruby", "schema_mapping": {"generated_code": "Generated Code", "reference_code": "Reference Code"}}
]

