[EVAL] SciCode #1086
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[EVAL] SciCode #1086
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cc: @NathanHB would love your feedback on this. |
NathanHB
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Dec 4, 2025
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NathanHB
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Hey ! Looking nice :)
Only thing is that it only check if the code has been generated ?
i think you can also use what is there: https://github.com/scicode-bench/SciCode/blob/main/eval/inspect_ai/scicode.py
And give credit / ask them of course :)
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| class SciCodeMetric(SampleLevelComputation): | ||
| """Metric for SciCode code generation evaluation.""" | ||
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| def compute(self, model_response: ModelResponse, doc: Doc, **kwargs) -> dict: | ||
| """Check if code was generated.""" | ||
| assert doc.specific is not None, "Doc specific field is required for scicode metric" | ||
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| predictions = model_response.final_text | ||
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| if not predictions: | ||
| return {"code_extracted": 0.0} | ||
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| generated_code = extract_code(predictions[0]) | ||
| code_extracted = 1.0 if generated_code and len(generated_code.strip()) > 0 else 0.0 | ||
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| return {"code_extracted": code_extracted} |
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you can remove the function taht are meant to be used with backends other than inspect-ai
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Overview
Resolves #740.
Consists of a single-file implementation
scicode.pywhich uses SciCode's prompt structure found inbackground_comment_template.txt.STATUS: ready for review.
HF space link: https://huggingface.co/spaces/akshathmangudi/gpt-4o-scicode