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56 lines
1.3 KiB
Python
56 lines
1.3 KiB
Python
from opencompass.datasets.supergpqa.supergpqa import SuperGPQADataset, SuperGPQAEvaluator
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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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supergpqa_0shot_single_datasets = []
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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='{infer_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=['infer_prompt'],
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output_column='answer_letter',
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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=SuperGPQAEvaluator),
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pred_role='BOT',
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)
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supergpqa_dataset = dict(
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type=SuperGPQADataset,
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abbr='supergpqa',
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path='opencompass/supergpqa',
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prompt_mode='zero-shot',
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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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# print(type(supergpqa_0shot_single_datasets))
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supergpqa_0shot_single_datasets.append(supergpqa_dataset)
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