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* Add SVAMP dataset * Add SVAMP dataset * Add SVAMP dataset * Add gsm_hard dataset * Add gsm_hard dataset * format --------- Co-authored-by: Leymore <zfz-960727@163.com>
37 lines
1.3 KiB
Python
37 lines
1.3 KiB
Python
from opencompass.openicl.icl_prompt_template import PromptTemplate
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from opencompass.openicl.icl_retriever import FixKRetriever
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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 GSMHardDataset, mathbench_postprocess
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gsmhard_reader_cfg = dict(input_columns=['question'], output_column='answer')
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gsmhard_infer_cfg = dict(
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ice_template=dict(
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type=PromptTemplate,
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template=dict(
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begin="</E>",
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round=[
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dict(role='HUMAN', prompt="Question: {question}\nAnswer:"),
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dict(role="BOT", prompt="The answer is {answer}"),
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],
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),
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ice_token="</E>",
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),
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retriever=dict(type=FixKRetriever, fix_id_list=[0, 1, 2, 3, 4]),
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inferencer=dict(type=GenInferencer, max_out_len=512))
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gsmhard_eval_cfg = dict(evaluator=dict(type=AccEvaluator),
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pred_postprocessor=dict(type=mathbench_postprocess, name='en'))
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gsmhard_datasets = [
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dict(
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abbr='gsm-hard',
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type=GSMHardDataset,
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path='./data/gsm-hard/test.jsonl',
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reader_cfg=gsmhard_reader_cfg,
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infer_cfg=gsmhard_infer_cfg,
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eval_cfg=gsmhard_eval_cfg)
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]
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