opencompass-my-api/configs/datasets/FewCLUE_tnews/FewCLUE_tnews_gen_b90e4a.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 TNewsDataset_V2
from opencompass.utils.text_postprocessors import first_capital_postprocess

tnews_reader_cfg = dict(
    input_columns="sentence",
    output_column="label_desc2",
)

tnews_labels = [
    "农业新闻",  # news_agriculture
    "旅游新闻",  # news_travel
    "游戏新闻",  # news_game
    "科技类别公司新闻",  # news_tech
    "体育类别新闻",  # news_sports
    "初升高教育新闻",  # news_edu
    "娱乐圈新闻",  # news_entertainment
    "投资资讯",  # news_finance
    "军事类别常识",  # news_military
    "车辆新闻",  # news_car
    "楼市新闻",  # news_house
    "环球不含中国类别新闻",  # news_world
    "书籍文化历史类别新闻",  # news_culture
    "故事类别新闻",  # news_story
    "股票市场类别新闻",  # news_stock
]
_tnews_options_list_str = "\n".join(f'{chr(ord("A") + i)}. {tnews_labels[i]}'
                                    for i in range(len(tnews_labels)))
_tnews_options_range_str = "，".join(f'“{chr(ord("A") + i)}”'
                                    for i in range(len(tnews_labels)))

tnews_infer_cfg = dict(
    prompt_template=dict(
        type=PromptTemplate,
        template=dict(round=[
            dict(
                role="HUMAN",
                prompt=
                f"{{sentence}}\n请判断上述内容属于什么新闻？\n{_tnews_options_list_str}\n请从{_tnews_options_range_str}中进行选择。\n答：",
            ),
        ]),
    ),
    retriever=dict(type=ZeroRetriever),
    inferencer=dict(type=GenInferencer),
)

tnews_eval_cfg = dict(
    evaluator=dict(type=AccEvaluator),
    pred_role="BOT",
    pred_postprocessor=dict(type=first_capital_postprocess),
)

tnews_datasets = [
    dict(
        abbr="tnews-dev",
        type=TNewsDataset_V2,
        path="./data/FewCLUE/tnews/dev_few_all.json",
        reader_cfg=tnews_reader_cfg,
        infer_cfg=tnews_infer_cfg,
        eval_cfg=tnews_eval_cfg,
    ),
    dict(
        abbr="tnews-test",
        type=TNewsDataset_V2,
        path="./data/FewCLUE/tnews/test_public.json",
        reader_cfg=tnews_reader_cfg,
        infer_cfg=tnews_infer_cfg,
        eval_cfg=tnews_eval_cfg,
    ),
]

del _tnews_options_list_str, _tnews_options_range_str