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32 lines
1.0 KiB
Python
32 lines
1.0 KiB
Python
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
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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='{prompt}'),
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retriever=dict(type=ZeroRetriever),
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inferencer=dict(type=GenInferencer, max_out_len=512))
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humaneval_eval_cfg = dict(
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evaluator=dict(type=HumanEvalEvaluator),
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k=[1, 10, 100], # the parameter only for humaneval
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pred_postprocessor=dict(type=humaneval_postprocess),
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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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]
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