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humaneval
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febd188403
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@ -40,6 +40,6 @@ bigcodebench_full_instruct_datasets = [
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infer_cfg=bigcodebench_full_infer_cfg,
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eval_cfg=bigcodebench_full_eval_cfg,
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release_version='v0.1.2',
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n=3,
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k=2)
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n=5,
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k=3)
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]
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@ -42,7 +42,7 @@ bigcodebench_hard_instruct_datasets = [
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eval_cfg=bigcodebench_hard_eval_cfg,
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release_version='v0.1.2',
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dataset_version='hard',
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n=3,
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k=2
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n=5,
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k=3
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)
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]
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@ -0,0 +1,37 @@
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from opencompass.openicl.icl_prompt_template import PromptTemplate
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from opencompass.openicl.icl_retriever import ZeroRetriever
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from opencompass.openicl.icl_inferencer import GenInferencer
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from opencompass.datasets import HumanevalDataset, HumanEvalEvaluator, humaneval_postprocess_v2
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humaneval_reader_cfg = dict(
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input_columns=['prompt'], output_column='task_id', train_split='test')
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# TODO: allow empty output-column
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humaneval_infer_cfg = dict(
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prompt_template=dict(
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type=PromptTemplate,
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template=dict(round=[
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dict(
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role='HUMAN',
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prompt='Read the following function signature and docstring, and fully implement the function described. Your response should only contain the code for this function.\n{prompt}'),
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])),
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retriever=dict(type=ZeroRetriever),
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inferencer=dict(type=GenInferencer))
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humaneval_eval_cfg = dict(
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evaluator=dict(type=HumanEvalEvaluator),
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pred_role='BOT',
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pred_postprocessor=dict(type=humaneval_postprocess_v2),
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)
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humaneval_datasets = [
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dict(
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abbr='openai_humaneval',
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type=HumanevalDataset,
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path='opencompass/humaneval',
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reader_cfg=humaneval_reader_cfg,
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infer_cfg=humaneval_infer_cfg,
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eval_cfg=humaneval_eval_cfg,
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n=3,
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k=2)
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]
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@ -183,13 +183,13 @@ def humaneval_postprocess_v2(text: str) -> str:
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blocks = re.findall(r'```\w*\n(.*?)```', text, re.DOTALL)
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if len(blocks) >= 1:
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text = blocks[0]
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return text
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return text.lstrip()
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def humaneval_postprocess_v3(text: str) -> str:
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blocks = re.findall(r'```\w*\n(.*?)```', text, re.DOTALL)
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if len(blocks) >= 1:
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text = blocks[-1]
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return text
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return text.lstrip()
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def humaneval_internal_v2_postprocess(text: str):
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if text.startswith(' ') and not text.startswith(' '):
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