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41 lines
1.3 KiB
Python
41 lines
1.3 KiB
Python
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.openicl.icl_evaluator import AccEvaluator
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from opencompass.datasets import LastLettersDataset, last_letters_pred_postprocess
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last_letters_reader_cfg = dict(
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input_columns=['question'],
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output_column='answer',
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train_split='test',
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test_split='test'
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)
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last_letters_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='Question: {question}\nPlease respond directly without any additional explanations, and format your final answer as `The answer is [ANSWER]`.\nAnswer:'),
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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, max_out_len=512),
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)
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last_letters_eval_cfg = dict(
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evaluator=dict(type=AccEvaluator),
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pred_postprocessor=dict(type=last_letters_pred_postprocess),
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)
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last_letters_datasets = [
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dict(
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abbr='last_letters',
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type=LastLettersDataset,
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path='last_letters',
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reader_cfg=last_letters_reader_cfg,
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infer_cfg=last_letters_infer_cfg,
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eval_cfg=last_letters_eval_cfg
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)
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] |