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39 lines
1.2 KiB
Python
39 lines
1.2 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.cdme.cdme import CDMEDataset,CDMEEvaluator,cdme_postprocess,cdme_dataset_postprocess
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import os
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cdme_reader_cfg = dict(input_columns=['prompt'], output_column='answer')
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cdme_infer_cfg = dict(
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prompt_template=dict(
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type=PromptTemplate,
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template=
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'''{prompt}'''),
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retriever=dict(type=ZeroRetriever),
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inferencer=dict(type=GenInferencer, max_out_len=512))
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cdme_eval_cfg = dict(
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evaluator=dict(type=CDMEEvaluator),
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pred_postprocessor=dict(type=cdme_postprocess),
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dataset_postprocessor=dict(type=cdme_dataset_postprocess))
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base_path = './data/CDME/processed'
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cdme_datasets = []
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for folder in os.listdir(base_path):
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if os.path.isdir(os.path.join(base_path, folder)):
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dataset_dict = dict(
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abbr=f'CDME_{folder}',
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type=CDMEDataset,
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path=os.path.join(base_path, folder),
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reader_cfg=cdme_reader_cfg,
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infer_cfg=cdme_infer_cfg,
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eval_cfg=cdme_eval_cfg
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)
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cdme_datasets.append(dataset_dict)
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