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35 lines
1.1 KiB
Python
35 lines
1.1 KiB
Python
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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 GenInferencer
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from opencompass.datasets import DingoDataset, DingoEvaluator
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dingo_paths = [
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'./data/dingo/en_192.csv',
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'./data/dingo/zh_170.csv',
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]
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dingo_datasets = []
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for path in dingo_paths:
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dingo_reader_cfg = dict(input_columns='input', output_column=None)
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dingo_infer_cfg = dict(
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prompt_template=dict(
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type=PromptTemplate,
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template=dict(round=[dict(role='HUMAN', prompt='{input}')])),
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retriever=dict(type=ZeroRetriever),
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inferencer=dict(type=GenInferencer),
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)
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dingo_eval_cfg = dict(evaluator=dict(type=DingoEvaluator), pred_role='BOT')
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dingo_datasets.append(
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dict(
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abbr='dingo_' + path.split('/')[-1].split('.csv')[0],
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type=DingoDataset,
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path=path,
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reader_cfg=dingo_reader_cfg,
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infer_cfg=dingo_infer_cfg,
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eval_cfg=dingo_eval_cfg,
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))
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datasets = dingo_datasets
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