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6097186a95
* Add Datasets: MedQA, ProteinLMBench; Add Models: huatuogpt, baichuanM1 * Fix bugs for MedQA. Add info in dataset-index * Add version code for MedQA and ProteinLMBench * Add version code for MedQA and ProteinLMBench
64 lines
1.7 KiB
Python
64 lines
1.7 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.utils.text_postprocessors import first_option_postprocess
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from opencompass.datasets.MedQA import MedQADataset
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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 Options(e.g. one of ABCDEFGHIJKLMNOP). Think step by step before answering.
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Question:\n
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{question}
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Options:\n
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{choices}
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""".strip()
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MedQA_datasets = []
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MedQA_reader_cfg = dict(
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input_columns=['question', 'choices'],
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output_column='label',
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)
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MedQA_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(role='HUMAN', prompt=QUERY_TEMPLATE),
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],
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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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MedQA_subsets = {
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'US': 'xuxuxuxuxu/MedQA_US_test',
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'Mainland': 'xuxuxuxuxu/MedQA_Mainland_test',
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'Taiwan': 'xuxuxuxuxu/MedQA_Taiwan_test',
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}
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for split in list(MedQA_subsets.keys()):
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MedQA_eval_cfg = dict(
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evaluator=dict(type=AccEvaluator),
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pred_postprocessor=dict(type=first_option_postprocess, options='ABCD')
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)
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MedQA_datasets.append(
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dict(
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abbr=f'MedQA_{split}',
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type=MedQADataset,
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path=MedQA_subsets[split],
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reader_cfg=MedQA_reader_cfg,
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infer_cfg=MedQA_infer_cfg,
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eval_cfg=MedQA_eval_cfg,
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)
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)
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