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60 lines
1.6 KiB
Python
60 lines
1.6 KiB
Python
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from opencompass.datasets.korbench.korbench import korbenchDataset, korbenchEvaluator
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from opencompass.openicl.icl_inferencer import GenInferencer
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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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categories = ['cipher', 'counterfactual', 'logic', 'operation', 'puzzle']
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korbench_0shot_single_datasets = []
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for category in categories:
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# Prompt template
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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(
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role='HUMAN',
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prompt=''
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)
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],
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round=[
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dict(
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role='HUMAN',
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prompt='{prompt}' # f-string
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)
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]
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)
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)
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# Reader configuration
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reader_cfg = dict(
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input_columns=['prompt'],
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output_column='answer',
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)
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# Inference configuration
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infer_cfg = dict(
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prompt_template=prompt_template,
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retriever=dict(type=ZeroRetriever),
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inferencer=dict(type=GenInferencer, max_out_len=1024),
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)
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# Evaluation configuration
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eval_cfg = dict(
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evaluator=dict(type=korbenchEvaluator),
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pred_role='BOT',
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)
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korbench_dataset = dict(
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type=korbenchDataset,
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abbr=f'korbench_{category}',
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path='opencompass/korbench',
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prompt_mode='0_shot',
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category=category,
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reader_cfg=reader_cfg,
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infer_cfg=infer_cfg,
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eval_cfg=eval_cfg,
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)
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korbench_0shot_single_datasets.append(korbench_dataset)
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