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41 lines
1.2 KiB
Python
41 lines
1.2 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 HFDataset, HumanEvalEvaluator, humaneval_postprocess
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apps_reader_cfg = dict(
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input_columns=['question'], output_column='problem_id', train_split='test')
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# TODO: allow empty output-column
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apps_infer_cfg = dict(
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prompt_template=dict(
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type=PromptTemplate,
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template=dict(
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begin=[
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dict(
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role='SYSTEM',
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fallback_role='HUMAN',
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prompt='Write a python program:'),
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],
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round=[
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dict(role='HUMAN', prompt='{question}'),
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])),
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retriever=dict(type=ZeroRetriever),
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inferencer=dict(type=GenInferencer))
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apps_eval_cfg = dict(
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evaluator=dict(type=HumanEvalEvaluator),
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pred_role='BOT',
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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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apps_datasets = [
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dict(
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type=HFDataset,
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path='codeparrot/apps',
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reader_cfg=apps_reader_cfg,
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infer_cfg=apps_infer_cfg,
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eval_cfg=apps_eval_cfg)
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]
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