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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
37 lines
1.2 KiB
Python
37 lines
1.2 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 StoryClozeDataset
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storycloze_reader_cfg = dict(
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input_columns=['context', 'sentence_quiz1', 'sentence_quiz2'],
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output_column='answer_right_ending',
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train_split='test',
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test_split='test')
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storycloze_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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1: '{context}{sentence_quiz1}',
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2: '{context}{sentence_quiz2}',
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}),
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retriever=dict(type=ZeroRetriever),
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inferencer=dict(type=PPLInferencer))
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storycloze_eval_cfg = dict(evaluator=dict(type=AccEvaluator))
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# The original story cloze dataset and repo are not long maintaining.
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# Using multilingual version of this dataset.
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storycloze_datasets = [
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dict(
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abbr='story_cloze',
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type=StoryClozeDataset,
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path='opencompass/xstory_cloze',
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lang='en',
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reader_cfg=storycloze_reader_cfg,
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infer_cfg=storycloze_infer_cfg,
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eval_cfg=storycloze_eval_cfg)
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]
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