afqmc.py

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

afqmc_reader_cfg = dict(
    input_columns=['sentence1', 'sentence2'],
    output_column='label',
    test_split='train')

afqmc_infer_cfg = dict(
    prompt_template=dict(
        type=PromptTemplate,
        template={
            #  0: "{sentence1},{sentence2}不同。",
            #  1: "{sentence1},{sentence2}相似。"
            0:
            "I received the questions \"{sentence1}\" and \"{sentence2}\". Are they duplicates?[MASK]no",
            1:
            "I received the questions \"{sentence1}\" and \"{sentence2}\". Are they duplicates?[MASK]yes",
        }),
    retriever=dict(type=ZeroRetriever),
    inferencer=dict(type=PPLInferencer))

afqmc_eval_cfg = dict(evaluator=dict(type=AccEvaluator))

afqmc_datasets = [
    dict(
        type=HFDataset,
        abbr='afqmc',
        path='json',
        data_files='./data/CLUE/AFQMC/test_public.json',
        split='train',
        reader_cfg=afqmc_reader_cfg,
        infer_cfg=afqmc_infer_cfg,
        eval_cfg=afqmc_eval_cfg)
]