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* [Feature] Support import configs/models/summarizers from whl * Update LCBench configs * Update * Update * Update * Update * update * Update * Update * Update * Update * Update
39 lines
1.3 KiB
Python
39 lines
1.3 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 GenInferencer
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from opencompass.datasets import LongBenchRougeEvaluator, LongBenchdureaderDataset
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LongBench_dureader_reader_cfg = dict(
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input_columns=['context', 'input'],
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output_column='answers',
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train_split='test',
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test_split='test'
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)
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LongBench_dureader_infer_cfg = dict(
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prompt_template=dict(
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type=PromptTemplate,
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template=dict(
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round=[
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dict(role='HUMAN', prompt='请基于给定的文章回答下述问题。\n\n文章：{context}\n\n请基于上述文章回答下面的问题。\n\n问题：{input}\n回答：'),
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], )),
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retriever=dict(type=ZeroRetriever),
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inferencer=dict(type=GenInferencer, max_out_len=128)
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)
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LongBench_dureader_eval_cfg = dict(
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evaluator=dict(type=LongBenchRougeEvaluator, language='zh'),
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pred_role='BOT'
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)
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LongBench_dureader_datasets = [
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dict(
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type=LongBenchdureaderDataset,
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abbr='LongBench_dureader',
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path='THUDM/LongBench',
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name='dureader',
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reader_cfg=LongBench_dureader_reader_cfg,
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infer_cfg=LongBench_dureader_infer_cfg,
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eval_cfg=LongBench_dureader_eval_cfg)
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]
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