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* [Feature] Support 360API and FixKRetriever for CSQA dataset * Update API * Update API * [Feature] Support 360API and FixKRetriever for CSQA dataset * Update API * Update API * rm mathbench * fix_lint * Update opencompass/models/bytedance_api.py Co-authored-by: Hubert <42952108+yingfhu@users.noreply.github.com> * update * update * update --------- Co-authored-by: Hubert <42952108+yingfhu@users.noreply.github.com>
56 lines
1.6 KiB
Python
56 lines
1.6 KiB
Python
# Use FixKRetriever to avoid hang caused by the Huggingface
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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 commonsenseqaDataset
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from opencompass.utils.text_postprocessors import first_capital_postprocess
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commonsenseqa_reader_cfg = dict(
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input_columns=["question", "A", "B", "C", "D", "E"],
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output_column="answerKey",
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test_split="validation")
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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(
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role="HUMAN",
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prompt=
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"{question}\nA. {A}\nB. {B}\nC. {C}\nD. {D}\nE. {E}\nAnswer:",
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),
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dict(
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role="BOT",
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prompt="{answerKey}",
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),
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],
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),
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ice_token="</E>",
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)
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commonsenseqa_infer_cfg = dict(
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ice_template=_ice_template,
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retriever=dict(type=FixKRetriever, fix_id_list=[0, 1, 2, 3, 4, 5, 6, 7]),
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inferencer=dict(type=GenInferencer),
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)
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commonsenseqa_eval_cfg = dict(
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evaluator=dict(type=AccEvaluator),
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pred_postprocessor=dict(type=first_capital_postprocess),
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)
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commonsenseqa_datasets = [
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dict(
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abbr='commonsense_qa',
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type=commonsenseqaDataset,
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path='./data/commonsenseqa',
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reader_cfg=commonsenseqa_reader_cfg,
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infer_cfg=commonsenseqa_infer_cfg,
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eval_cfg=commonsenseqa_eval_cfg,
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)
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]
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del _ice_template
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