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* add InfiniteBench * add InfiniteBench --------- Co-authored-by: wangchonghua <wangchonghua@pjlab.org.cn>
42 lines
1.5 KiB
Python
42 lines
1.5 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.datasets import InfiniteBenchzhqaDataset, LongBenchF1Evaluator
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from opencompass.utils.text_postprocessors import general_cn_postprocess
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InfiniteBench_zhqa_reader_cfg = dict(
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input_columns=['context', 'question'],
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output_column='answer',
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)
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InfiniteBench_zhqa_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='请根据以下书籍回答我的问题。\n\n{context}\n\n问题：{question}\n请尽量简短地回答。'),
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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=40)
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)
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InfiniteBench_zhqa_eval_cfg = dict(
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evaluator=dict(type=LongBenchF1Evaluator, language='zh'),
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pred_role='BOT',
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)
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InfiniteBench_zhqa_datasets = [
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dict(
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type=InfiniteBenchzhqaDataset,
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abbr='InfiniteBench_zhqa',
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path='./data/InfiniteBench/longbook_qa_chn.jsonl',
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reader_cfg=InfiniteBench_zhqa_reader_cfg,
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infer_cfg=InfiniteBench_zhqa_infer_cfg,
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eval_cfg=InfiniteBench_zhqa_eval_cfg)
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]
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