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Dataset ยท Hugging Face

md-nishat-008/mHumanEval-Benchmark

๐Ÿ”ท Accepted in NAACL Proceedings (2025) ๐Ÿ”ท mHumanEval The mHumanEval benchmark is curated based on prompts from the original HumanEval ๐Ÿ“š [Chen et al., 2021]. It includes a total of 33,456 prompts for Python, and 836,400 in total - significantly expanding from the original 164.โ€ฆ See the full description on the dataset page: https://huggingface.co/datasets/md-nishat-008/mHumanEval-Benchmark.

Author / organizationmd-nishat-008
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Created24 April 2025
Last updated at source24 April 2025
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  • 17 Oct 2026 Description: ๐Ÿ”ท Accepted in NAACL Proceedings (2025) ๐Ÿ”ท mHumanEval The mHumanEval benchmark is curated based on prompts from the original HumanEval ๐Ÿ“š [Chen et al., 2021]. It includes a total of 33,456 prompts for Python, and 836,400 in total - signific โ†’ ๐Ÿ”ท Accepted in NAACL Proceedings (2025) ๐Ÿ”ท mHumanEval The mHumanEval benchmark is curated based on prompts from the original HumanEval ๐Ÿ“š [Chen et al., 2021]. It includes a total of 33,456 prompts for Python, and 836,400 in total - signific

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