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0b2863039e
* Contamination analysis for ARC_c, mmlu, and Hellaswag * update `eval_contamination.py` * update `contamination.py` summarizer * fix `eval_contamination.py` * add mmlu groups for contamination analysis
36 lines
1.2 KiB
Python
36 lines
1.2 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 PPLInferencer
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from opencompass.openicl.icl_evaluator import AccContaminationEvaluator
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from opencompass.datasets import hellaswagDatasetClean as hellaswagDataset
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hellaswag_reader_cfg = dict(
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input_columns=['ctx', 'A', 'B', 'C', 'D'],
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output_column='label')
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hellaswag_infer_cfg = dict(
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prompt_template=dict(
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type=PromptTemplate,
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template={
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i: dict(round=[
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dict(role="HUMAN", prompt="{ctx}"),
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dict(role="BOT", prompt=f"{{{chr(ord('A') + i)}}}"),
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])
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for i in range(4)
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}),
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retriever=dict(type=ZeroRetriever),
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inferencer=dict(type=PPLInferencer))
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hellaswag_eval_cfg = dict(evaluator=dict(type=AccContaminationEvaluator),
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analyze_contamination=True)
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hellaswag_datasets = [
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dict(
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abbr='hellaswag',
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type=hellaswagDataset,
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path='./data/hellaswag/hellaswag.jsonl',
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reader_cfg=hellaswag_reader_cfg,
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infer_cfg=hellaswag_infer_cfg,
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eval_cfg=hellaswag_eval_cfg)
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]
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