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 RougeEvaluator
from opencompass.datasets import XsumDataset

Xsum_reader_cfg = dict(input_columns=['dialogue'], output_column='summary')

Xsum_infer_cfg = dict(
    prompt_template=dict(
        type=PromptTemplate,
        template=dict(round=[
            dict(
                role='HUMAN',
                prompt=
                'Document：{dialogue}\nBased on the previous text, provide a brief single summary:'
            ),
        ]),
    ),
    retriever=dict(type=ZeroRetriever),
    inferencer=dict(type=GenInferencer),
)

Xsum_eval_cfg = dict(
    evaluator=dict(type=RougeEvaluator),
    pred_role='BOT',
    pred_postprocessor=dict(type='Xsum'),
)

Xsum_datasets = [
    dict(
        type=XsumDataset,
        abbr='Xsum',
        path='./data/Xsum/dev.jsonl',
        reader_cfg=Xsum_reader_cfg,
        infer_cfg=Xsum_infer_cfg,
        eval_cfg=Xsum_eval_cfg,
    )
]