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 AccEvaluator
from opencompass.datasets import ARCDataset

ARC_c_reader_cfg = dict(
    input_columns=["question", "textA", "textB", "textC", "textD"],
    output_column="answerKey")

ARC_c_infer_cfg = dict(
    prompt_template=dict(
        type=PromptTemplate,
        template=dict(
            round=[
                dict(
                    role="HUMAN",
                    prompt=
                    "Question: {question}\nA. {textA}\nB. {textB}\nC. {textC}\nD. {textD}\nAnswer:"
                )
            ], ),
    ),
    retriever=dict(type=ZeroRetriever),
    inferencer=dict(type=GenInferencer),
)

ARC_c_eval_cfg = dict(
    evaluator=dict(type=AccEvaluator),
    pred_role="BOT",
    pred_postprocessor=dict(type="first-capital"),
)

ARC_c_datasets = [
    dict(
        abbr="ARC-c",
        type=ARCDataset,
        path="./data/ARC/ARC-c/ARC-Challenge-Dev.jsonl",
        reader_cfg=ARC_c_reader_cfg,
        infer_cfg=ARC_c_infer_cfg,
        eval_cfg=ARC_c_eval_cfg,
    )
]