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from opencompass.openicl.icl_prompt_template import PromptTemplate
from opencompass.openicl.icl_retriever import ZeroRetriever
from opencompass.openicl.icl_inferencer import GenInferencer
from opencompass.openicl.icl_evaluator import BleuEvaluator
from opencompass.datasets import GovRepcrsDataset
from opencompass.utils.text_postprocessors import general_cn_postprocess
govrepcrs_reader_cfg = dict(
input_columns='content',
output_column='summary',
train_split='test',
test_split='test')
govrepcrs_infer_cfg = dict(
prompt_template=dict(
type=PromptTemplate,
template=
"Please summarize the following English report in English:{content}\n{summary}."),
retriever=dict(type=ZeroRetriever),
inferencer=dict(
type=GenInferencer, batch_size=4, max_out_len=500, max_seq_len=8192))
govrepcrs_eval_cfg = dict(
evaluator=dict(type=BleuEvaluator),
pred_postprocessor=dict(type=general_cn_postprocess),
dataset_postprocessor=dict(type=general_cn_postprocess))
govrepcrs_datasets = [
dict(
type=GovRepcrsDataset,
path='./data/govrep/',
abbr='GovRepcrs',
reader_cfg=govrepcrs_reader_cfg,
infer_cfg=govrepcrs_infer_cfg,
eval_cfg=govrepcrs_eval_cfg)
]
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