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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 PPLInferencer, GenInferencer |
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from opencompass.openicl.icl_evaluator import AccEvaluator |
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from opencompass.datasets import AGIEvalDataset_v2, AGIEvalEvaluator, AGIEvalEvaluator_mcq |
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from opencompass.utils.text_postprocessors import first_capital_postprocess_multi |
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agieval_single_choice_sets = [ |
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'gaokao-chinese', |
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'gaokao-english', |
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'gaokao-geography', |
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'gaokao-history', |
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'gaokao-biology', |
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'gaokao-chemistry', |
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'gaokao-mathqa', |
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'logiqa-zh', |
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'lsat-ar', |
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'lsat-lr', |
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'lsat-rc', |
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'logiqa-en', |
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'sat-math', |
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'sat-en', |
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'sat-en-without-passage', |
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'aqua-rat', |
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] |
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agieval_multiple_choices_sets = [ |
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'gaokao-physics', |
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'jec-qa-kd', |
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'jec-qa-ca', |
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] |
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agieval_cloze_sets = ['gaokao-mathcloze', 'math'] |
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agieval_chinese_sets = [ |
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'gaokao-chinese', |
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'gaokao-english', |
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'gaokao-geography', |
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'gaokao-history', |
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'gaokao-biology', |
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'gaokao-chemistry', |
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'gaokao-physics', |
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'gaokao-mathqa', |
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'logiqa-zh', |
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'gaokao-mathcloze', |
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] |
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agieval_english_sets = [ |
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'lsat-ar', |
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'lsat-lr', |
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'lsat-rc', |
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'logiqa-en', |
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'sat-math', |
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'sat-en', |
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'sat-en-without-passage', |
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'aqua-rat', |
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'math', |
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] |
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agieval_gaokao_sets = [ |
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'gaokao-chinese', |
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'gaokao-english', |
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'gaokao-geography', |
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'gaokao-history', |
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'gaokao-biology', |
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'gaokao-chemistry', |
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'gaokao-physics', |
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'gaokao-mathqa', |
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] |
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agieval_datasets = [] |
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for _name in agieval_single_choice_sets: |
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if _name in ['lsat-ar', 'lsat-lr', 'lsat-rc', 'aqua-rat']: |
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_options = ['A', 'B', 'C', 'D', 'E'] |
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else: |
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_options = ['A', 'B', 'C', 'D'] |
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if _name in agieval_chinese_sets: |
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_hint = '答案是:' |
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else: |
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_hint = 'The answer is ' |
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agieval_infer_cfg = dict( |
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prompt_template=dict( |
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type=PromptTemplate, |
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template={ |
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label: dict(round=[ |
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dict(role='HUMAN', prompt='{question}\n{options}'), |
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dict(role='BOT', prompt=f'{_hint}{label}') |
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]) |
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for label in _options |
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}), |
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retriever=dict(type=ZeroRetriever), |
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inferencer=dict(type=PPLInferencer, labels=_options)) |
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agieval_eval_cfg = dict(evaluator=dict(type=AccEvaluator)) |
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agieval_datasets.append( |
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dict( |
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type=AGIEvalDataset_v2, |
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path='./data/AGIEval/data/v1/', |
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name=_name, |
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abbr='agieval-' + _name, |
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setting_name='zero-shot', |
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reader_cfg=dict( |
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input_columns=['question', 'options'] + _options, |
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output_column='label'), |
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infer_cfg=agieval_infer_cfg.copy(), |
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eval_cfg=agieval_eval_cfg.copy())) |
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for _name in agieval_multiple_choices_sets: |
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if _name in agieval_chinese_sets: |
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_hint = '答案是: ' |
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else: |
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_hint = 'The answer is ' |
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agieval_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(role='HUMAN', prompt=f'{{question}}\n{{options}}\n{_hint}') |
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])), |
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retriever=dict(type=ZeroRetriever), |
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inferencer=dict(type=GenInferencer, max_out_len=1024)) |
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agieval_eval_cfg = dict( |
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evaluator=dict(type=AGIEvalEvaluator_mcq), |
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pred_postprocessor=dict(type=first_capital_postprocess_multi)) |
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agieval_datasets.append( |
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dict( |
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type=AGIEvalDataset_v2, |
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path='./data/AGIEval/data/v1/', |
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name=_name, |
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abbr='agieval-' + _name, |
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setting_name='zero-shot', |
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reader_cfg=dict( |
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input_columns=['question', 'options'], output_column='label'), |
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infer_cfg=agieval_infer_cfg.copy(), |
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eval_cfg=agieval_eval_cfg.copy())) |
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for _name in agieval_cloze_sets: |
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if _name in agieval_chinese_sets: |
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_hint = '答案是:' |
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else: |
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_hint = 'The answer is ' |
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agieval_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=[dict(role='HUMAN', prompt=f'{{question}}{_hint}')])), |
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retriever=dict(type=ZeroRetriever), |
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inferencer=dict(type=GenInferencer, max_out_len=1024)) |
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agieval_eval_cfg = dict(evaluator=dict(type=AGIEvalEvaluator)) |
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agieval_datasets.append( |
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dict( |
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type=AGIEvalDataset_v2, |
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path='./data/AGIEval/data/v1/', |
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name=_name, |
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abbr='agieval-' + _name, |
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setting_name='zero-shot', |
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reader_cfg=dict( |
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input_columns=['question', 'options'], output_column='label'), |
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infer_cfg=agieval_infer_cfg.copy(), |
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eval_cfg=agieval_eval_cfg.copy())) |
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for _item in agieval_datasets: |
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_name = _item['name'] |
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_intro = { |
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'gaokao-chinese': |
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'以下是一道中国高考语文选择题,请选择正确的答案。', |
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'gaokao-english': |
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'以下是一道中国高考英语选择题,请选择正确的答案。', |
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'gaokao-geography': |
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'以下是一道中国高考地理选择题,请选择正确的答案。', |
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'gaokao-history': |
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'以下是一道中国高考历史选择题,请选择正确的答案。', |
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'gaokao-biology': |
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'以下是一道中国高考生物选择题,请选择正确的答案。', |
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'gaokao-chemistry': |
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'以下是一道中国高考化学选择题,请选择正确的答案。', |
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'gaokao-physics': |
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'以下是一道中国高考物理选择题,请选择正确的答案。', |
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'gaokao-mathqa': |
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'以下是一道中国高考数学选择题,请选择正确的答案。', |
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'logiqa-zh': |
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'以下是一道中国公务员考试题,请选择正确的答案。', |
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'lsat-ar': |
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'The following is a LSAT Analytical Reasoning question. Please select the correct answer.', |
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'lsat-lr': |
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'The following is a LSAT Logical Reasoning question. Please select the correct answer.', |
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'lsat-rc': |
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'The following is a LSAT Reading Comprehension question. Please select the correct answer.', |
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'logiqa-en': |
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'The following is a Logic Reasoning question. Please select the correct answer.', |
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'sat-math': |
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'The following is a SAT Math question. Please select the correct answer.', |
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'sat-en': |
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'The following is a SAT English question. Please select the correct answer.', |
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'sat-en-without-passage': |
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'The following is a SAT English question. Please select the correct answer.', |
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'aqua-rat': |
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'The following is a AQUA-RAT question. Please select the correct answer.', |
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'jec-qa-kd': |
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'以下是一道中国司法考试基础知识题,请选择正确的答案。', |
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'jec-qa-ca': |
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'以下是一道中国司法考试案例分析题,请选择正确的答案。', |
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'gaokao-mathcloze': |
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'以下是一道中国高考数学填空题,请填入正确的答案。', |
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'math': |
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'The following is a Math question. Please select the correct answer.', |
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}[_name] |
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_templates = _item['infer_cfg']['prompt_template']['template'] |
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if _item['infer_cfg']['inferencer']['type'] == PPLInferencer: |
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for _label in _templates: |
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_templates[_label]['round'][0][ |
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'prompt'] = _intro + '\n' + _templates[_label]['round'][0][ |
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'prompt'] |
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else: |
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_templates['round'][0][ |
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'prompt'] = _intro + '\n' + _templates['round'][0]['prompt'] |
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del _item, _intro, _templates, _label, _name, _options, _hint, agieval_infer_cfg, agieval_eval_cfg |
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