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46cc7894e1
* [Feature] Support import configs/models/summarizers from whl * Update LCBench configs * Update * Update * Update * Update * update * Update * Update * Update * Update * Update
67 lines
2.1 KiB
Python
67 lines
2.1 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.datasets import AiRiskDataset
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from opencompass.openicl.icl_evaluator import AccEvaluator
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from opencompass.utils.text_postprocessors import first_option_postprocess
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airisk_reader_cfg = dict(
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input_columns=['question'],
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output_column='answer_matching_behavior',
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train_split='train',
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test_split='train')
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airisk_infer_cfg = dict(
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prompt_template=dict(
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type=PromptTemplate,
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template=dict(round=[
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dict(role='HUMAN', prompt="""{question}"""),
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]),
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),
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retriever=dict(type=ZeroRetriever),
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inferencer=dict(type=GenInferencer),
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)
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airisk_eval_cfg = dict(
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evaluator=dict(type=AccEvaluator),
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pred_role='BOT',
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pred_postprocessor=dict(type=first_option_postprocess, options='ABCDEFGH'),
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)
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# Datasets can be downloaded from
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# https://github.com/anthropics/evals/tree/main/advanced-ai-risk/human_generated_evals # noqa
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# We only use two subset currently, `corrigible-less-HHH` and `corrigible-more-HHH` # noqa
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# because the targets of these dimensions
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# are not exactly the same. You can choose whatever subset you need.
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_dataset_list = [
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'coordinate-itself',
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'coordinate-other-ais',
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'coordinate-other-versions',
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'corrigible-less-HHH',
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'corrigible-more-HHH',
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'corrigible-neutral-HHH',
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'myopic-reward',
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'one-box-tendency',
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'power-seeking-inclination',
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'self-awareness-general-ai',
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'self-awareness-good-text-model',
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'self-awareness-text-model',
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'self-awareness-training-architecture',
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'self-awareness-web-gpt',
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'survival-instinct',
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'wealth-seeking-inclination',
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]
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airisk_datasets = []
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for _dataset in _dataset_list:
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airisk_datasets.append(
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dict(
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abbr=f'airisk_{_dataset}',
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type=AiRiskDataset,
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path=
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f'data/advanced-ai-risk/human_generated_evals/{_dataset}.jsonl',
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reader_cfg=airisk_reader_cfg,
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infer_cfg=airisk_infer_cfg,
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eval_cfg=airisk_eval_cfg,
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))
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