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README.md
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can solve only 4.6% of the problems in the most realistic setting. We believe that SciCode demonstrates both contemporary LMs'
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progress towards becoming helpful scientific assistants and sheds light on the development and evaluation of scientific AI in the future.
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## Dataset Details
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### Dataset Sources [optional]
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can solve only 4.6% of the problems in the most realistic setting. We believe that SciCode demonstrates both contemporary LMs'
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progress towards becoming helpful scientific assistants and sheds light on the development and evaluation of scientific AI in the future.
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This repository contains the ground truth artifacts that's needed for LightEval benchmarks.
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The original SciCode numerical evaluation artifacts are provided in
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`raw/raw_ground.h5` for reproducibility and parity with the original
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SciCode evaluation pipeline.
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## Dataset Details
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### Dataset Sources [optional]
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