FewCLUE_eprstmt_gen_740ea0.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 eprstmtDataset_V2
from opencompass.utils.text_postprocessors import first_capital_postprocess

eprstmt_reader_cfg = dict(
    input_columns=['sentence'], output_column='label', test_split='train')

eprstmt_infer_cfg = dict(
    prompt_template=dict(
        type=PromptTemplate,
        template=dict(round=[
            dict(
                role='HUMAN',
                prompt=
                '内容： "{sentence}"。请对上述内容进行情绪分类。\nA. 积极\nB. 消极\n请从”A“，”B“中进行选择。\n答：'
            ),
        ]),
    ),
    retriever=dict(type=ZeroRetriever),
    inferencer=dict(type=GenInferencer),
)

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

eprstmt_datasets = [
    dict(
        abbr='eprstmt-dev',
        type=eprstmtDataset_V2,
        path='./data/FewCLUE/eprstmt/dev_few_all.json',
        reader_cfg=eprstmt_reader_cfg,
        infer_cfg=eprstmt_infer_cfg,
        eval_cfg=eprstmt_eval_cfg,
    ),
    dict(
        abbr='eprstmt-test',
        type=eprstmtDataset_V2,
        path='./data/FewCLUE/eprstmt/test_public.json',
        reader_cfg=eprstmt_reader_cfg,
        infer_cfg=eprstmt_infer_cfg,
        eval_cfg=eprstmt_eval_cfg,
    ),
]