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35 lines
1.2 KiB
Python
35 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 ToTInferencer
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from opencompass.datasets import (Game24Dataset, game24_postprocess,
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Game24Evaluator, Game24PromptWrapper)
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generation_kwargs = dict(do_sample=False, temperature=0.7)
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game24_reader_cfg = dict(
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input_columns=['input'],
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output_column='output')
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game24_infer_cfg = dict(
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prompt_template=dict(
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type=PromptTemplate,
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template='{input}'),
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retriever=dict(type=ZeroRetriever),
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inferencer=dict(type=ToTInferencer, generation_kwargs=generation_kwargs, method_generate='propose',
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method_evaluate='value', method_select='greedy', n_evaluate_sample=3, n_select_sample=5, prompt_wrapper=dict(type=Game24PromptWrapper)))
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game24_eval_cfg = dict(
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evaluator=dict(type=Game24Evaluator),
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pred_postprocessor=dict(type=game24_postprocess),
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)
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game24_datasets = [
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dict(
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abbr='game24',
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type=Game24Dataset,
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path='./data/game24/game24.csv',
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reader_cfg=game24_reader_cfg,
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infer_cfg=game24_infer_cfg,
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eval_cfg=game24_eval_cfg)
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]
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