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57 lines
2.2 KiB
Python
57 lines
2.2 KiB
Python
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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 CircularEvaluator, AccEvaluator
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from opencompass.datasets import WikiBenchDataset
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from opencompass.utils.text_postprocessors import first_option_postprocess
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single_choice_prompts = {
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'single_choice_cn': '以下是一道单项选择题，请你根据你了解的知识一步步推理，并在最后用“所以答案为选项X”给出答案，其中“X”为选项A，B，C，D中你认为正确的选项。。\n下面是你要回答的题目：\n{question}\n让我们一步步推理：',
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}
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wikibench_sets = {
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'wiki': ['single_choice_cn'],
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}
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do_circular = True
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wikibench_datasets = []
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for _split in list(wikibench_sets.keys()):
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for _name in wikibench_sets[_split]:
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wikibench_infer_cfg = dict(
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ice_template=dict(
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type=PromptTemplate,
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template=dict(
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begin='</E>',
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round=[
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dict(role='HUMAN', prompt=single_choice_prompts[_name]),
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dict(role='BOT', prompt='{answer}'),
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],
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),
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ice_token='</E>',
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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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wikibench_eval_cfg = dict(
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evaluator=dict(type=CircularEvaluator if do_circular else AccEvaluator),
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pred_postprocessor=dict(type=first_option_postprocess, options='ABCD'),
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)
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wikibench_datasets.append(
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dict(
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type=WikiBenchDataset,
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path=f'./data/WikiBench/{_name}.jsonl',
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name='circular_' + _name if do_circular else _name,
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abbr='wikibench-' + _split + '-' + _name + 'circular' if do_circular else '',
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reader_cfg=dict(
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input_columns=['question'],
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output_column='answer',
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),
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infer_cfg=wikibench_infer_cfg,
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eval_cfg=wikibench_eval_cfg,
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)
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)
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