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25 lines
1.2 KiB
Python
25 lines
1.2 KiB
Python
from mmengine.config import read_base
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with read_base():
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from opencompass.configs.datasets.agieval.agieval_mixed_713d14 import \
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agieval_datasets
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from opencompass.configs.datasets.bbh.bbh_gen_5b92b0 import bbh_datasets
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from opencompass.configs.datasets.gsm8k.gsm8k_gen_1d7fe4 import \
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gsm8k_datasets
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from opencompass.configs.datasets.humaneval.deprecated_humaneval_gen_a82cae import \
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humaneval_datasets
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from opencompass.configs.datasets.math.math_gen_265cce import math_datasets
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from opencompass.configs.datasets.mbpp.deprecated_sanitized_mbpp_gen_1e1056 import \
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sanitized_mbpp_datasets
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from opencompass.configs.datasets.mmlu.mmlu_ppl_ac766d import mmlu_datasets
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from opencompass.configs.models.hf_internlm.hf_internlm2_7b import \
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models as hf_internlm2_7b_model
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from opencompass.configs.models.hf_internlm.hf_internlm2_20b import \
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models as hf_internlm2_20b_model
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from opencompass.configs.summarizers.internlm2_keyset import summarizer
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work_dir = './outputs/internlm2-keyset/'
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datasets = sum([v for k, v in locals().items() if k.endswith('_datasets')], [])
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models = sum([v for k, v in locals().items() if k.endswith('_model')], [])
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