2023-07-05 09:27:28 +08:00
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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 HFDataset
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qabench_reader_cfg = dict(
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input_columns=['prompt'],
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output_column='reference',
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)
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# TODO: allow empty output-column
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qabench_infer_cfg = dict(
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prompt_template=dict(
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type=PromptTemplate,
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2024-05-14 15:35:58 +08:00
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template=dict(round=[dict(role='HUMAN', prompt='{prompt}')])),
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2023-07-05 09:27:28 +08:00
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retriever=dict(type=ZeroRetriever),
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inferencer=dict(type=GenInferencer))
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qabench_datasets = [
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dict(
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type=HFDataset,
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path='csv',
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data_files='./data/qabench/qabench-test.qa.csv',
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2024-05-14 15:35:58 +08:00
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abbr='qabench',
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2023-07-05 09:27:28 +08:00
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split='train',
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reader_cfg=qabench_reader_cfg,
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infer_cfg=qabench_infer_cfg,
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2024-05-14 15:35:58 +08:00
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eval_cfg=dict(ds_column='reference'))
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2023-07-05 09:27:28 +08:00
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]
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