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39 lines
1.2 KiB
Python
39 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 GenInferencer
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from opencompass.datasets import LongBenchF1Evaluator, LongBenchnqDataset
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LongBench_nq_reader_cfg = dict(
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input_columns=['context', 'input'],
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output_column='answers',
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train_split='test',
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test_split='test'
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)
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LongBench_nq_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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round=[
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dict(role='HUMAN', prompt='Answer the question based on the given passage. Only give me the answer and do not output any other words. The following are some examples.\n\n{context}\n\n{input}'),
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], )),
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retriever=dict(type=ZeroRetriever),
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inferencer=dict(type=GenInferencer, max_out_len=32)
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)
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LongBench_nq_eval_cfg = dict(
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evaluator=dict(type=LongBenchF1Evaluator),
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pred_role='BOT'
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)
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LongBench_nq_datasets = [
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dict(
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type=LongBenchnqDataset,
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abbr='LongBench_nq',
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path='THUDM/LongBench',
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name='nq',
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reader_cfg=LongBench_nq_reader_cfg,
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infer_cfg=LongBench_nq_infer_cfg,
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eval_cfg=LongBench_nq_eval_cfg)
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]
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