[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:
Xu Song 2024-05-14 15:03:28 +08:00 committed by GitHub
parent 7505b3cadf
commit 3dbba11945
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12 changed files with 18 additions and 229 deletions

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@ -1,4 +1,4 @@
from mmengine.config import read_base
with read_base():
from .GaokaoBench_mixed_f2038e import GaokaoBench_datasets # noqa: F401, F403
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:
_hint = '答案是:'
else:
_hint = 'The answer is '
agieval_infer_cfg = dict(
prompt_template=dict(
type=PromptTemplate,
template={
label: dict(round=[
dict(role='HUMAN', prompt='{question}\n{options}'),
dict(role='BOT', prompt=f'{_hint}{label}')
])
for label in _options
}),

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@ -1,218 +0,0 @@
from opencompass.openicl.icl_prompt_template import PromptTemplate
from opencompass.openicl.icl_retriever import ZeroRetriever
from opencompass.openicl.icl_inferencer import PPLInferencer, GenInferencer
from opencompass.openicl.icl_evaluator import AccEvaluator
from opencompass.datasets import AGIEvalDataset_v2, AGIEvalEvaluator, AGIEvalEvaluator_mcq
from opencompass.utils.text_postprocessors import first_capital_postprocess_multi
agieval_single_choice_sets = [
'gaokao-chinese',
'gaokao-english',
'gaokao-geography',
'gaokao-history',
'gaokao-biology',
'gaokao-chemistry',
'gaokao-mathqa',
'logiqa-zh',
'lsat-ar',
'lsat-lr',
'lsat-rc',
'logiqa-en',
'sat-math',
'sat-en',
'sat-en-without-passage',
'aqua-rat',
]
agieval_multiple_choices_sets = [
'gaokao-physics',
'jec-qa-kd',
'jec-qa-ca',
]
agieval_cloze_sets = ['gaokao-mathcloze', 'math']
agieval_chinese_sets = [
'gaokao-chinese',
'gaokao-english',
'gaokao-geography',
'gaokao-history',
'gaokao-biology',
'gaokao-chemistry',
'gaokao-physics',
'gaokao-mathqa',
'logiqa-zh',
'gaokao-mathcloze',
]
agieval_english_sets = [
'lsat-ar',
'lsat-lr',
'lsat-rc',
'logiqa-en',
'sat-math',
'sat-en',
'sat-en-without-passage',
'aqua-rat',
'math',
]
agieval_gaokao_sets = [
'gaokao-chinese',
'gaokao-english',
'gaokao-geography',
'gaokao-history',
'gaokao-biology',
'gaokao-chemistry',
'gaokao-physics',
'gaokao-mathqa',
]
agieval_datasets = []
for _name in agieval_single_choice_sets:
if _name in ['lsat-ar', 'lsat-lr', 'lsat-rc', 'aqua-rat']:
_options = ['A', 'B', 'C', 'D', 'E']
else:
_options = ['A', 'B', 'C', 'D']
if _name in agieval_chinese_sets:
_hint = '答案是:'
else:
_hint = 'The answer is '
agieval_infer_cfg = dict(
prompt_template=dict(
type=PromptTemplate,
template={
label: dict(round=[
dict(role='HUMAN', prompt='{question}\n{options}'),
dict(role='BOT', prompt=f'{_hint}{label}')
])
for label in _options
}),
retriever=dict(type=ZeroRetriever),
inferencer=dict(type=PPLInferencer, labels=_options))
agieval_eval_cfg = dict(evaluator=dict(type=AccEvaluator))
agieval_datasets.append(
dict(
type=AGIEvalDataset_v2,
path='./data/AGIEval/data/v1/',
name=_name,
abbr='agieval-' + _name,
setting_name='zero-shot',
reader_cfg=dict(
input_columns=['question', 'options'] + _options,
output_column='label'),
infer_cfg=agieval_infer_cfg.copy(),
eval_cfg=agieval_eval_cfg.copy()))
for _name in agieval_multiple_choices_sets:
if _name in agieval_chinese_sets:
_hint = '答案是: '
else:
_hint = 'The answer is '
agieval_infer_cfg = dict(
prompt_template=dict(
type=PromptTemplate,
template=dict(round=[
dict(role='HUMAN', prompt=f'{{question}}\n{{options}}\n{_hint}')
])),
retriever=dict(type=ZeroRetriever),
inferencer=dict(type=GenInferencer, max_out_len=1024))
agieval_eval_cfg = dict(
evaluator=dict(type=AGIEvalEvaluator_mcq),
pred_postprocessor=dict(type=first_capital_postprocess_multi))
agieval_datasets.append(
dict(
type=AGIEvalDataset_v2,
path='./data/AGIEval/data/v1/',
name=_name,
abbr='agieval-' + _name,
setting_name='zero-shot',
reader_cfg=dict(
input_columns=['question', 'options'], output_column='label'),
infer_cfg=agieval_infer_cfg.copy(),
eval_cfg=agieval_eval_cfg.copy()))
for _name in agieval_cloze_sets:
if _name in agieval_chinese_sets:
_hint = '答案是:'
else:
_hint = 'The answer is '
agieval_infer_cfg = dict(
prompt_template=dict(
type=PromptTemplate,
template=dict(
round=[dict(role='HUMAN', prompt=f'{{question}}{_hint}')])),
retriever=dict(type=ZeroRetriever),
inferencer=dict(type=GenInferencer, max_out_len=1024))
agieval_eval_cfg = dict(evaluator=dict(type=AGIEvalEvaluator))
agieval_datasets.append(
dict(
type=AGIEvalDataset_v2,
path='./data/AGIEval/data/v1/',
name=_name,
abbr='agieval-' + _name,
setting_name='zero-shot',
reader_cfg=dict(
input_columns=['question', 'options'], output_column='label'),
infer_cfg=agieval_infer_cfg.copy(),
eval_cfg=agieval_eval_cfg.copy()))
for _item in agieval_datasets:
_name = _item['name']
_intro = {
'gaokao-chinese':
'以下是一道中国高考语文选择题,请选择正确的答案。',
'gaokao-english':
'以下是一道中国高考英语选择题,请选择正确的答案。',
'gaokao-geography':
'以下是一道中国高考地理选择题,请选择正确的答案。',
'gaokao-history':
'以下是一道中国高考历史选择题,请选择正确的答案。',
'gaokao-biology':
'以下是一道中国高考生物选择题,请选择正确的答案。',
'gaokao-chemistry':
'以下是一道中国高考化学选择题,请选择正确的答案。',
'gaokao-physics':
'以下是一道中国高考物理选择题,请选择正确的答案。',
'gaokao-mathqa':
'以下是一道中国高考数学选择题,请选择正确的答案。',
'logiqa-zh':
'以下是一道中国公务员考试题,请选择正确的答案。',
'lsat-ar':
'The following is a LSAT Analytical Reasoning question. Please select the correct answer.',
'lsat-lr':
'The following is a LSAT Logical Reasoning question. Please select the correct answer.',
'lsat-rc':
'The following is a LSAT Reading Comprehension question. Please select the correct answer.',
'logiqa-en':
'The following is a Logic Reasoning question. Please select the correct answer.',
'sat-math':
'The following is a SAT Math question. Please select the correct answer.',
'sat-en':
'The following is a SAT English question. Please select the correct answer.',
'sat-en-without-passage':
'The following is a SAT English question. Please select the correct answer.',
'aqua-rat':
'The following is a AQUA-RAT question. Please select the correct answer.',
'jec-qa-kd':
'以下是一道中国司法考试基础知识题,请选择正确的答案。',
'jec-qa-ca':
'以下是一道中国司法考试案例分析题,请选择正确的答案。',
'gaokao-mathcloze':
'以下是一道中国高考数学填空题,请填入正确的答案。',
'math':
'The following is a Math question. Please select the correct answer.',
}[_name]
_templates = _item['infer_cfg']['prompt_template']['template']
if _item['infer_cfg']['inferencer']['type'] == PPLInferencer:
for _label in _templates:
_templates[_label]['round'][0][
'prompt'] = _intro + '\n' + _templates[_label]['round'][0][
'prompt']
else:
_templates['round'][0][
'prompt'] = _intro + '\n' + _templates['round'][0]['prompt']
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
with read_base():
from ..mmlu.mmlu_ppl_ac766d import mmlu_datasets
from ..ceval.ceval_ppl_578f8d import ceval_datasets
from ..agieval.agieval_mixed_2f14ad import agieval_datasets
from ..GaokaoBench.GaokaoBench_mixed_f2038e import GaokaoBench_datasets
from ..agieval.agieval_mixed_713d14 import agieval_datasets
from ..GaokaoBench.GaokaoBench_mixed_9af5ee import GaokaoBench_datasets
from ..bbh.bbh_gen_5b92b0 import bbh_datasets
from ..humaneval.humaneval_gen_8e312c import humaneval_datasets
from ..mbpp.deprecated_mbpp_gen_1e1056 import mbpp_datasets

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@ -3,8 +3,8 @@ from mmengine.config import read_base
with read_base():
from ..mmlu.mmlu_ppl_ac766d import mmlu_datasets
from ..ceval.ceval_ppl_578f8d import ceval_datasets
from ..agieval.agieval_mixed_2f14ad import agieval_datasets
from ..GaokaoBench.GaokaoBench_mixed_f2038e import GaokaoBench_datasets
from ..agieval.agieval_mixed_713d14 import agieval_datasets
from ..GaokaoBench.GaokaoBench_mixed_9af5ee import GaokaoBench_datasets
from ..bbh.bbh_gen_5b92b0 import bbh_datasets
from ..humaneval.humaneval_gen_a82cae import humaneval_datasets
from ..mbpp.deprecated_mbpp_gen_1e1056 import mbpp_datasets

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@ -2,10 +2,10 @@ from mmengine.config import read_base
with read_base():
from ...ceval.ceval_ppl_578f8d import ceval_datasets
from ...agieval.agieval_mixed_2f14ad import agieval_datasets
from ...agieval.agieval_mixed_713d14 import agieval_datasets
from ...mmlu.mmlu_ppl_ac766d import mmlu_datasets
from ...cmmlu.cmmlu_ppl_8b9c76 import cmmlu_datasets
from ...GaokaoBench.GaokaoBench_mixed_f2038e import GaokaoBench_datasets
from ...GaokaoBench.GaokaoBench_mixed_9af5ee import GaokaoBench_datasets
from ...ARC_c.ARC_c_gen_1e0de5 import ARC_c_datasets
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
with read_base():
from ...ceval.ceval_gen_5f30c7 import ceval_datasets
from ...agieval.agieval_mixed_2f14ad import agieval_datasets
from ...agieval.agieval_mixed_713d14 import agieval_datasets
from ...mmlu.mmlu_gen_4d595a import mmlu_datasets
from ...cmmlu.cmmlu_gen_c13365 import cmmlu_datasets
from ...GaokaoBench.GaokaoBench_gen_5cfe9e import GaokaoBench_datasets

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@ -6,7 +6,7 @@ with read_base():
from .datasets.nq.nq_open_gen_e93f8a import nq_datasets
from .datasets.gsm8k.gsm8k_gen_3309bd import gsm8k_datasets
from .datasets.humaneval.humaneval_gen_a82cae import humaneval_datasets
from .datasets.agieval.agieval_mixed_2f14ad import agieval_datasets
from .datasets.agieval.agieval_mixed_713d14 import agieval_datasets
from .datasets.SuperGLUE_BoolQ.SuperGLUE_BoolQ_ppl_314797 import BoolQ_datasets
from .datasets.hellaswag.hellaswag_ppl_a6e128 import hellaswag_datasets
from .datasets.obqa.obqa_ppl_6aac9e import obqa_datasets

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@ -2,7 +2,7 @@ from mmengine.config import read_base
with read_base():
from .datasets.mmlu.mmlu_ppl_ac766d import mmlu_datasets
from .datasets.agieval.agieval_mixed_2f14ad import agieval_datasets
from .datasets.agieval.agieval_mixed_713d14 import agieval_datasets
from .datasets.bbh.bbh_gen_5b92b0 import bbh_datasets
from .datasets.gsm8k.gsm8k_gen_1d7fe4 import gsm8k_datasets
from .datasets.math.math_gen_265cce import math_datasets

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@ -75,7 +75,7 @@ def get_hash(path):
def check_and_rename(filepath):
base_name = os.path.basename(filepath)
match = re.match(r'(.*)_(gen|ppl|ll)_(.*).py', base_name)
match = re.match(r'(.*)_(gen|ppl|ll|mixed)_(.*).py', base_name)
if match:
dataset, mode, old_hash = match.groups()
new_hash = get_hash(filepath)