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EffiBench/effibench-x

Dataset Card for EffiBench-X EffiBench-X is the first multi-language benchmark designed specifically to evaluate the efficiency of LLM-generated code across six programming languages: Python, C++, Java, JavaScript, Ruby, and Golang. The dataset comprises 623 competitive programming problems paired with human expert solutions as efficiency baselines. Dataset Details Dataset Description EffiBench-X addresses critical limitations in existing code… See the full description on the dataset page: https://huggingface.co/datasets/EffiBench/effibench-x.

sourceHugging Faceapache-2.0updated 11mo agoView on Hugging Face
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