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[Feat] Support dataset_suffix check for mixed configs (#973)
* [Feat] Support dataset_suffix check for mixed configs * update mixed suffix * update suffix --------- Co-authored-by: Leymore <zfz-960727@163.com>
This commit is contained in:
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7505b3cadf
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@ -1,4 +1,4 @@
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from mmengine.config import read_base
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with read_base():
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from .GaokaoBench_mixed_f2038e import GaokaoBench_datasets # noqa: F401, F403
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from .GaokaoBench_mixed_9af5ee import GaokaoBench_datasets # noqa: F401, F403
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@ -75,6 +75,13 @@ for _name in agieval_single_choice_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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@ -1,218 +0,0 @@
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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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@ -3,8 +3,8 @@ from mmengine.config import read_base
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with read_base():
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from ..mmlu.mmlu_ppl_ac766d import mmlu_datasets
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from ..ceval.ceval_ppl_578f8d import ceval_datasets
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from ..agieval.agieval_mixed_2f14ad import agieval_datasets
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from ..GaokaoBench.GaokaoBench_mixed_f2038e import GaokaoBench_datasets
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from ..agieval.agieval_mixed_713d14 import agieval_datasets
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from ..GaokaoBench.GaokaoBench_mixed_9af5ee import GaokaoBench_datasets
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from ..bbh.bbh_gen_5b92b0 import bbh_datasets
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from ..humaneval.humaneval_gen_8e312c import humaneval_datasets
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from ..mbpp.deprecated_mbpp_gen_1e1056 import mbpp_datasets
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@ -3,8 +3,8 @@ from mmengine.config import read_base
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with read_base():
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from ..mmlu.mmlu_ppl_ac766d import mmlu_datasets
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from ..ceval.ceval_ppl_578f8d import ceval_datasets
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from ..agieval.agieval_mixed_2f14ad import agieval_datasets
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from ..GaokaoBench.GaokaoBench_mixed_f2038e import GaokaoBench_datasets
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from ..agieval.agieval_mixed_713d14 import agieval_datasets
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from ..GaokaoBench.GaokaoBench_mixed_9af5ee import GaokaoBench_datasets
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from ..bbh.bbh_gen_5b92b0 import bbh_datasets
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from ..humaneval.humaneval_gen_a82cae import humaneval_datasets
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from ..mbpp.deprecated_mbpp_gen_1e1056 import mbpp_datasets
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@ -2,10 +2,10 @@ from mmengine.config import read_base
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with read_base():
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from ...ceval.ceval_ppl_578f8d import ceval_datasets
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from ...agieval.agieval_mixed_2f14ad import agieval_datasets
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from ...agieval.agieval_mixed_713d14 import agieval_datasets
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from ...mmlu.mmlu_ppl_ac766d import mmlu_datasets
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from ...cmmlu.cmmlu_ppl_8b9c76 import cmmlu_datasets
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from ...GaokaoBench.GaokaoBench_mixed_f2038e import GaokaoBench_datasets
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from ...GaokaoBench.GaokaoBench_mixed_9af5ee import GaokaoBench_datasets
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from ...ARC_c.ARC_c_gen_1e0de5 import ARC_c_datasets
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from ...ARC_e.ARC_e_gen_1e0de5 import ARC_e_datasets
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@ -2,7 +2,7 @@ from mmengine.config import read_base
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with read_base():
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from ...ceval.ceval_gen_5f30c7 import ceval_datasets
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from ...agieval.agieval_mixed_2f14ad import agieval_datasets
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from ...agieval.agieval_mixed_713d14 import agieval_datasets
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from ...mmlu.mmlu_gen_4d595a import mmlu_datasets
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from ...cmmlu.cmmlu_gen_c13365 import cmmlu_datasets
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from ...GaokaoBench.GaokaoBench_gen_5cfe9e import GaokaoBench_datasets
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@ -6,7 +6,7 @@ with read_base():
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from .datasets.nq.nq_open_gen_e93f8a import nq_datasets
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from .datasets.gsm8k.gsm8k_gen_3309bd import gsm8k_datasets
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from .datasets.humaneval.humaneval_gen_a82cae import humaneval_datasets
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from .datasets.agieval.agieval_mixed_2f14ad import agieval_datasets
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from .datasets.agieval.agieval_mixed_713d14 import agieval_datasets
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from .datasets.SuperGLUE_BoolQ.SuperGLUE_BoolQ_ppl_314797 import BoolQ_datasets
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from .datasets.hellaswag.hellaswag_ppl_a6e128 import hellaswag_datasets
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from .datasets.obqa.obqa_ppl_6aac9e import obqa_datasets
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@ -2,7 +2,7 @@ from mmengine.config import read_base
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with read_base():
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from .datasets.mmlu.mmlu_ppl_ac766d import mmlu_datasets
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from .datasets.agieval.agieval_mixed_2f14ad import agieval_datasets
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from .datasets.agieval.agieval_mixed_713d14 import agieval_datasets
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from .datasets.bbh.bbh_gen_5b92b0 import bbh_datasets
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from .datasets.gsm8k.gsm8k_gen_1d7fe4 import gsm8k_datasets
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from .datasets.math.math_gen_265cce import math_datasets
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@ -75,7 +75,7 @@ def get_hash(path):
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def check_and_rename(filepath):
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base_name = os.path.basename(filepath)
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match = re.match(r'(.*)_(gen|ppl|ll)_(.*).py', base_name)
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match = re.match(r'(.*)_(gen|ppl|ll|mixed)_(.*).py', base_name)
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if match:
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dataset, mode, old_hash = match.groups()
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new_hash = get_hash(filepath)
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