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* add Chinese version: csqa crowspairs nq * Update cn_data * Update cn_data * update format --------- Co-authored-by: liuhongwei <liuhongwei@pjlab.org.cn> Co-authored-by: Leymore <zfz-960727@163.com>
53 lines
1.4 KiB
Python
53 lines
1.4 KiB
Python
from opencompass.openicl.icl_prompt_template import PromptTemplate
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from opencompass.openicl.icl_retriever import ZeroRetriever
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from opencompass.openicl.icl_inferencer import PPLInferencer
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from opencompass.openicl.icl_evaluator import AccEvaluator
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from opencompass.datasets import CommonsenseQADataset_CN
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commonsenseqacn_reader_cfg = dict(
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input_columns=["question", "A", "B", "C", "D", "E"],
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output_column="answerKey",
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test_split="validation",
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)
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_ice_template = dict(
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type=PromptTemplate,
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template={
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ans: dict(
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begin="</E>",
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round=[
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dict(role="HUMAN", prompt="问题: {question}\n答案: "),
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dict(role="BOT", prompt=ans_token),
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],
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)
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for ans, ans_token in [
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["A", "{A}"],
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["B", "{B}"],
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["C", "{C}"],
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["D", "{D}"],
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["E", "{E}"],
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]
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},
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ice_token="</E>",
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)
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commonsenseqacn_infer_cfg = dict(
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prompt_template=_ice_template,
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retriever=dict(type=ZeroRetriever),
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inferencer=dict(type=PPLInferencer),
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)
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commonsenseqacn_eval_cfg = dict(evaluator=dict(type=AccEvaluator))
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commonsenseqacn_datasets = [
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dict(
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abbr="commonsenseqa_cn",
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type=CommonsenseQADataset_CN,
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path="./data/commonsenseqa_cn/validation.jsonl",
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reader_cfg=commonsenseqacn_reader_cfg,
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infer_cfg=commonsenseqacn_infer_cfg,
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eval_cfg=commonsenseqacn_eval_cfg,
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)
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]
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