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46 lines
1.5 KiB
Python
46 lines
1.5 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 MBPPProDataset, MBPPProEvaluator
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PROMPT_WRAPPER = """You are an exceptionally intelligent coding assistant that consistently delivers accurate and reliable responses to user instructions.
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Write a solution of python file to the following problems, the solution of the second problem requires single or multiple calls to the first solution.
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```python
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{raw_problem}
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{new_problem}
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```
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Please put the two solutions within the Python code block provided below, and make sure that the block contains no other unrelated content:
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```python
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```
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"""
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mbpppro_reader_cfg = dict(
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input_columns=['raw_problem', 'new_problem'], output_column='test_code')
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mbpppro_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=PROMPT_WRAPPER),
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])),
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retriever=dict(type=ZeroRetriever),
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inferencer=dict(type=GenInferencer))
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mbpppro_eval_cfg = dict(
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evaluator=dict(type=MBPPProEvaluator,
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ip_address='https://opencompass-multiple-evaluator.hf.space'),
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)
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mbpppro_datasets = [
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dict(
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abbr='mbpp_pro',
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type=MBPPProDataset,
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path='opencompass/mbpp_pro',
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reader_cfg=mbpppro_reader_cfg,
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infer_cfg=mbpppro_infer_cfg,
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eval_cfg=mbpppro_eval_cfg)
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] |