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48 lines
1.5 KiB
Python
48 lines
1.5 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.openicl.icl_evaluator import BleuEvaluator
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from opencompass.datasets import SummScreenDataset
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summscreen_reader_cfg = dict(
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input_columns='content',
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output_column='summary',
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train_split='dev',
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test_split='dev')
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summscreen_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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begin=[
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dict(
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role='SYSTEM',
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fallback_role="HUMAN",
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prompt=
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'Please summarize the following English play script in English:'
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),
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],
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round=[
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dict(role='HUMAN', prompt='{content}'),
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dict(role='BOT', prompt='{summary}'),
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])),
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retriever=dict(type=ZeroRetriever),
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inferencer=dict(
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type=GenInferencer, batch_size=4, max_out_len=500, max_seq_len=8192))
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summscreen_eval_cfg = dict(
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evaluator=dict(type=BleuEvaluator),
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pred_role='BOT',
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pred_postprocessor=dict(type='general_cn'),
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dataset_postprocessor=dict(type='general_cn'))
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summscreen_datasets = [
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dict(
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type=SummScreenDataset,
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path='./data/SummScreen/',
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abbr='SummScreen',
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reader_cfg=summscreen_reader_cfg,
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infer_cfg=summscreen_infer_cfg,
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eval_cfg=summscreen_eval_cfg)
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]
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