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44 lines
2.7 KiB
Python
44 lines
2.7 KiB
Python
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code_passk_summary_groups = [
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# rename
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{'name': 'humaneval_pass@1(greedy)', 'subsets': [['openai_humaneval', 'humaneval_pass@1']]},
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{'name': 'humaneval_pass@10', 'subsets': [['openai_humaneval_passk', 'humaneval_pass@10']]},
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{'name': 'humaneval_pass@10', 'subsets': [['openai_humaneval_repeat10', 'humaneval_pass@10']]},
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{'name': 'humaneval_cn_pass@1(greedy)', 'subsets': [['openai_humaneval_cn', 'humaneval_pass@1']]},
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{'name': 'humaneval_cn_pass@10', 'subsets': [['openai_humaneval_cn_passk', 'humaneval_pass@10']]},
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{'name': 'humaneval_cn_pass@10', 'subsets': [['openai_humaneval_cn_repeat10', 'humaneval_pass@10']]},
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{'name': 'humaneval_plus_pass@1(greedy)', 'subsets': [['humaneval_plus', 'humaneval_plus_pass@1']]},
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{'name': 'humaneval_plus_pass@10', 'subsets': [['humaneval_plus_passk', 'humaneval_plus_pass@10']]},
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{'name': 'humaneval_plus_pass@10', 'subsets': [['humaneval_plus_repeat10', 'humaneval_plus_pass@10']]},
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{'name': 'mbpp_pass@1(greedy)', 'subsets': [['mbpp', 'score']]},
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{'name': 'mbpp_pass@10', 'subsets': [['mbpp_passk', 'pass@10']]},
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{'name': 'mbpp_pass@10', 'subsets': [['mbpp_repeat10', 'pass@10']]},
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{'name': 'mbpp_cn_pass@1(greedy)', 'subsets': [['mbpp_cn', 'score']]},
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{'name': 'mbpp_cn_pass@10', 'subsets': [['mbpp_cn_passk', 'pass@10']]},
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{'name': 'mbpp_cn_pass@10', 'subsets': [['mbpp_cn_repeat10', 'pass@10']]},
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{'name': 'sanitized_mbpp_pass@1(greedy)', 'subsets': [['sanitized_mbpp', 'score']]},
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{'name': 'sanitized_mbpp_pass@10', 'subsets': [['sanitized_mbpp_passk', 'pass@10']]},
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{'name': 'sanitized_mbpp_pass@10', 'subsets': [['sanitized_mbpp_repeat10', 'pass@10']]},
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# real add
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{'name': 'humanevalx', 'subsets': ['humanevalx-python', 'humanevalx-cpp', 'humanevalx-go', 'humanevalx-java', 'humanevalx-js']},
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# {'name': 'code', 'subsets': ['humaneval_plus_pass@1(greedy)', 'sanitized_mbpp_pass@1(greedy)', 'humaneval_cn_pass@1(greedy)', 'mbpp_cn_pass@1(greedy)', 'humanevalx']}
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{'name': 'code_cn', 'subsets': ['humaneval_cn_pass@1(greedy)', 'mbpp_cn_pass@1(greedy)']},
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{'name': 'code_en', 'subsets': ['humaneval_plus_pass@1(greedy)', 'sanitized_mbpp_pass@1(greedy)', 'humanevalx']},
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{'name': 'code', 'subsets': ['humaneval_cn_pass@1(greedy)', 'mbpp_cn_pass@1(greedy)', 'humaneval_plus_pass@1(greedy)', 'sanitized_mbpp_pass@1(greedy)', 'humanevalx']},
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]
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summarizer = dict(
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dataset_abbrs=[
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'code',
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'code_cn',
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'code_en',
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'humaneval_cn_pass@1(greedy)',
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'humaneval_plus_pass@1(greedy)',
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'mbpp_cn_pass@1(greedy)',
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'sanitized_mbpp_pass@1(greedy)',
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'humanevalx',
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],
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summary_groups=sum(
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[v for k, v in locals().items() if k.endswith('_summary_groups')], [])
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)
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