CLUE_ocnli_gen_c4cb6c.py

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 cmnliDataset_V2
from opencompass.utils.text_postprocessors import first_capital_postprocess

ocnli_reader_cfg = dict(
    input_columns=['sentence1', 'sentence2'],
    output_column='label',
)

# TODO: two prompt templates for ocnli
ocnli_infer_cfg = dict(
    prompt_template=dict(
        type=PromptTemplate,
        template=dict(round=[
            dict(
                role='HUMAN',
                prompt=
                '语句一：“{sentence1}”\n语句二：“{sentence2}”\n请问这两句话是什么关系？\nA. 蕴含\n B. 矛盾\n C. 无关\n请从“A”，“B”，“C”中进行选择。\n答：'
            ),
        ]),
    ),
    retriever=dict(type=ZeroRetriever),
    inferencer=dict(type=GenInferencer),
)

ocnli_eval_cfg = dict(
    evaluator=dict(type=AccEvaluator),
    pred_role='BOT',
    pred_postprocessor=dict(type=first_capital_postprocess),
)

ocnli_datasets = [
    dict(
        abbr='ocnli',
        type=cmnliDataset_V2,  # ocnli share the same format with cmnli
        path='./data/CLUE/OCNLI/dev.json',
        reader_cfg=ocnli_reader_cfg,
        infer_cfg=ocnli_infer_cfg,
        eval_cfg=ocnli_eval_cfg,
    )
]