from opencompass.openicl.icl_prompt_template import PromptTemplate
from opencompass.openicl.icl_retriever import ZeroRetriever
from opencompass.openicl.icl_inferencer import PPLInferencer
from opencompass.openicl.icl_evaluator import AccEvaluator
from opencompass.datasets import HFDataset

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

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

RTE_eval_cfg = dict(evaluator=dict(type=AccEvaluator))

RTE_datasets = [
    dict(
        type=HFDataset,
        abbr="RTE",
        path="json",
        data_files="./data/SuperGLUE/RTE/val.jsonl",
        split="train",
        reader_cfg=RTE_reader_cfg,
        infer_cfg=RTE_infer_cfg,
        eval_cfg=RTE_eval_cfg,
    )
]
