CLUE_cmnli_gen_51e956.py 1.34 KB
Newer Older
gaotongxiao's avatar
gaotongxiao committed
1
2
3
4
5
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
Leymore's avatar
Leymore committed
6
from opencompass.utils.text_postprocessors import first_capital_postprocess
gaotongxiao's avatar
gaotongxiao committed
7
8

cmnli_reader_cfg = dict(
9
10
11
    input_columns=['sentence1', 'sentence2'],
    output_column='label',
    test_split='train')
gaotongxiao's avatar
gaotongxiao committed
12
13
14
15
16
17

cmnli_infer_cfg = dict(
    prompt_template=dict(
        type=PromptTemplate,
        template=dict(round=[
            dict(
18
                role='HUMAN',
gaotongxiao's avatar
gaotongxiao committed
19
                prompt=
20
                '阅读文章:{sentence1}\n根据上文,回答如下问题:{sentence2}\nA. 对\nB. 错\nC. 可能\n请从“A”,“B”,“C”中进行选择。\n答:'
gaotongxiao's avatar
gaotongxiao committed
21
22
23
24
25
26
27
28
29
            ),
        ]),
    ),
    retriever=dict(type=ZeroRetriever),
    inferencer=dict(type=GenInferencer),
)

cmnli_eval_cfg = dict(
    evaluator=dict(type=AccEvaluator),
30
    pred_role='BOT',
Leymore's avatar
Leymore committed
31
    pred_postprocessor=dict(type=first_capital_postprocess),
gaotongxiao's avatar
gaotongxiao committed
32
33
34
35
)

cmnli_datasets = [
    dict(
36
        abbr='cmnli',
gaotongxiao's avatar
gaotongxiao committed
37
        type=cmnliDataset_V2,
38
        path='./data/CLUE/cmnli/cmnli_public/dev.json',
gaotongxiao's avatar
gaotongxiao committed
39
40
41
42
43
        reader_cfg=cmnli_reader_cfg,
        infer_cfg=cmnli_infer_cfg,
        eval_cfg=cmnli_eval_cfg,
    )
]