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a11cb45c83
* [Feat] support adv_glue dataset for adversarial robustness * reorg files * minor fix * minor fix * support prompt bench demo * minor fix * minor fix * minor fix * minor fix * minor fix * minor fix * minor fix * minor fix
28 lines
785 B
Python
28 lines
785 B
Python
from mmengine.config import read_base
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from opencompass.partitioners import NaivePartitioner
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from opencompass.runners import LocalRunner
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from opencompass.tasks import OpenICLAttackTask
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with read_base():
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# choose a list of datasets
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from .datasets.promptbench.promptbench_wnli_gen_50662f import wnli_datasets
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from .models.hf_vicuna_7b import models
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datasets = wnli_datasets
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# Please run whole dataset at a time, aka use `NaivePartitioner` only
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# Please use `OpenICLAttackTask` if want to perform attack experiment
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infer = dict(
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partitioner=dict(type=NaivePartitioner),
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runner=dict(
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type=LocalRunner,
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max_num_workers=8,
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task=dict(type=OpenICLAttackTask)),
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)
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attack = dict(
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attack='textfooler',
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query_budget=100,
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prompt_topk=1,
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)
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