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.
| Author / organization | EffiBench |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 677 (as reported by Hugging Face) |
| Likes | 2 |
| Created | 16 May 2025 |
| Last updated at source | 22 October 2025 |
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- 16 Oct 2026 Description: 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 dat → 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 dat
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