OpenCompass/opencompass/configs/datasets/wikibench/wikibench_gen_f96ece.py

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from opencompass.openicl.icl_prompt_template import PromptTemplate
from opencompass.openicl.icl_retriever import ZeroRetriever
from opencompass.openicl.icl_inferencer import GenInferencer
from opencompass.openicl.icl_evaluator import CircularEvaluator, AccEvaluator
from opencompass.datasets import WikiBenchDataset
from opencompass.utils.text_postprocessors import first_option_postprocess
single_choice_prompts = {
'single_choice_cn': '以下是一道单项选择题,请你根据你了解的知识给出正确的答案选项。\n下面是你要回答的题目:\n{question}\n答案选项:',
}
wikibench_sets = {
'wiki': ['single_choice_cn'],
}
do_circular = True
wikibench_datasets = []
for _split in list(wikibench_sets.keys()):
for _name in wikibench_sets[_split]:
wikibench_infer_cfg = dict(
ice_template=dict(
type=PromptTemplate,
template=dict(
begin='</E>',
round=[
dict(role='HUMAN', prompt=single_choice_prompts[_name]),
dict(role='BOT', prompt='{answer}'),
],
),
ice_token='</E>',
),
retriever=dict(type=ZeroRetriever),
inferencer=dict(type=GenInferencer),
)
wikibench_eval_cfg = dict(
evaluator=dict(type=CircularEvaluator if do_circular else AccEvaluator),
pred_postprocessor=dict(type=first_option_postprocess, options='ABCD'),
)
wikibench_datasets.append(
dict(
type=WikiBenchDataset,
path='opencompass/WikiBench',
filename=f'{_name}.jsonl',
name='circular_' + _name if do_circular else _name,
abbr='wikibench-' + _split + '-' + _name + 'circular' if do_circular else '',
reader_cfg=dict(
input_columns=['question'],
output_column='answer',
),
infer_cfg=wikibench_infer_cfg,
eval_cfg=wikibench_eval_cfg,
)
)