from opencompass.openicl.icl_prompt_template import PromptTemplate
from opencompass.openicl.icl_retriever import ZeroRetriever, FixKRetriever
from opencompass.openicl.icl_inferencer import PPLInferencer
from opencompass.openicl.icl_evaluator import AccEvaluator
from opencompass.datasets import RaceDataset

race_reader_cfg = dict(
    input_columns=['article', 'question', 'A', 'B', 'C', 'D'],
    output_column='answer',
    train_split='validation',
    test_split='test',
)

race_infer_cfg = dict(
    ice_template=dict(
        type=PromptTemplate,
        template={
            ans: dict(
                begin='</E>',
                round=[
                    dict(
                        role='HUMAN',
                        prompt='Article:\n{article}\nQuestion:\n{question}\nA. {A}\nB. {B}\nC. {C}\nD. {D}',
                    ),
                    dict(role='BOT', prompt=f'Answer: {ans}'),
                ],
            )
            for ans in ['A', 'B', 'C', 'D']
        },
        ice_token='</E>',
    ),
    retriever=dict(type=FixKRetriever, fix_id_list=[0, 2, 4]),
    inferencer=dict(type=PPLInferencer),
)

race_eval_cfg = dict(evaluator=dict(type=AccEvaluator))

race_datasets = [
    dict(
        abbr='race-middle',
        type=RaceDataset,
        path='opencompass/race',
        name='middle',
        reader_cfg=race_reader_cfg,
        infer_cfg=race_infer_cfg,
        eval_cfg=race_eval_cfg,
    ),
    dict(
        abbr='race-high',
        type=RaceDataset,
        path='opencompass/race',
        name='high',
        reader_cfg=race_reader_cfg,
        infer_cfg=race_infer_cfg,
        eval_cfg=race_eval_cfg,
    ),
]