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 AXDataset_V2
from opencompass.utils.text_postprocessors import first_option_postprocess

RTE_reader_cfg = dict(
    input_columns=["hypothesis", "premise"],
    output_column="label",
)

RTE_infer_cfg = dict(
    prompt_template=dict(
        type=PromptTemplate,
        template=dict(round=[
            dict(
                role="HUMAN",
                prompt=
                "{premise}\n{hypothesis}\nIs the sentence below entailed by the sentence above?\nA. Yes\nB. No\nAnswer:"
            ),
        ]),
    ),
    retriever=dict(type=ZeroRetriever),
    inferencer=dict(type=GenInferencer),
)

RTE_eval_cfg = dict(
    evaluator=dict(type=AccEvaluator),
    pred_role="BOT",
    pred_postprocessor=dict(type=first_option_postprocess, options='AB'),
)

RTE_datasets = [
    dict(
        abbr="RTE",
        type=AXDataset_V2,  # rte share the same format with ax
        path="./data/SuperGLUE/RTE/val.jsonl",
        reader_cfg=RTE_reader_cfg,
        infer_cfg=RTE_infer_cfg,
        eval_cfg=RTE_eval_cfg,
    )
]