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* add InfiniteBench * add InfiniteBench --------- Co-authored-by: wangchonghua <wangchonghua@pjlab.org.cn>
42 lines
1.3 KiB
Python
42 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.openicl.icl_evaluator import RougeEvaluator
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from opencompass.datasets import InfiniteBenchensumDataset
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InfiniteBench_ensum_reader_cfg = dict(
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input_columns=['context'],
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output_column='answer',
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)
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InfiniteBench_ensum_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(role='SYSTEM', fallback_role='HUMAN', prompt='You are a helpful assistant.'),
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],
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round=[
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dict(role='HUMAN', prompt='Summarize the following book.\n\n{context}'),
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dict(role='BOT', prompt=''),
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], )),
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retriever=dict(type=ZeroRetriever),
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inferencer=dict(type=GenInferencer, max_out_len=1200)
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)
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InfiniteBench_ensum_eval_cfg = dict(
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evaluator=dict(type=RougeEvaluator),
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pred_role='BOT'
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)
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InfiniteBench_ensum_datasets = [
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dict(
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type=InfiniteBenchensumDataset,
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abbr='InfiniteBench_ensum',
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path='./data/InfiniteBench/longbook_sum_eng.jsonl',
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reader_cfg=InfiniteBench_ensum_reader_cfg,
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infer_cfg=InfiniteBench_ensum_infer_cfg,
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eval_cfg=InfiniteBench_ensum_eval_cfg)
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]
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