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54 lines
1.5 KiB
Python
54 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.openicl.icl_evaluator import AccEvaluator
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from opencompass.datasets import ARCDataset
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from opencompass.utils.text_postprocessors import first_option_postprocess, match_answer_pattern
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QUERY_TEMPLATE = """
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Answer the following multiple choice question. The last line of your response should be of the following format: 'ANSWER: $LETTER' (without quotes) where LETTER is one of ABCD. Think step by step before answering.
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{question}
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A. {textA}
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B. {textB}
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C. {textC}
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D. {textD}
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""".strip()
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ARC_c_reader_cfg = dict(
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input_columns=['question', 'textA', 'textB', 'textC', 'textD'],
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output_column='answerKey')
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ARC_c_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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round=[
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dict(
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role='HUMAN',
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prompt=QUERY_TEMPLATE)
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], ),
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),
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retriever=dict(type=ZeroRetriever),
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inferencer=dict(type=GenInferencer),
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)
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ARC_c_eval_cfg = dict(
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evaluator=dict(type=AccEvaluator),
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pred_role='BOT',
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pred_postprocessor=dict(type=first_option_postprocess, options='ABCD'),
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)
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ARC_c_datasets = [
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dict(
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abbr='ARC-c',
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type=ARCDataset,
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path='opencompass/ai2_arc-dev',
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name='ARC-Challenge',
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reader_cfg=ARC_c_reader_cfg,
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infer_cfg=ARC_c_infer_cfg,
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eval_cfg=ARC_c_eval_cfg,
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)
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]
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