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58 lines
1.3 KiB
Python
58 lines
1.3 KiB
Python
from opencompass.datasets.supergpqa.supergpqa import (
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SuperGPQADataset,
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SuperGPQAEvaluator,
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)
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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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# Reader configuration
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reader_cfg = dict(
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input_columns=[
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'question',
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"options",
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'discipline',
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'field',
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'subfield',
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'difficulty',
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"infer_prompt",
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"prompt_mode",
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],
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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=dict(
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type=PromptTemplate,
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template=dict(
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round=[
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dict(
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role='HUMAN',
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prompt='{infer_prompt}',
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),
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],
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),
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),
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retriever=dict(type=ZeroRetriever),
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inferencer=dict(type=GenInferencer),
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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="m-a-p/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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supergpqa_datasets = [supergpqa_dataset]
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