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from mmengine.config import read_base |
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from opencompass.datasets.circular import ( |
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CircularARCDataset, CircularCEvalDataset, CircularCMMLUDataset, |
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CircularCSQADataset, CircularEvaluator, CircularHSWAGDataset, |
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CircularMMLUDataset, CircularOBQADataset, CircularRaceDataset) |
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from opencompass.summarizers import CircularSummarizer |
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with read_base(): |
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from opencompass.configs.datasets.ARC_c.ARC_c_gen_1e0de5 import \ |
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ARC_c_datasets |
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from opencompass.configs.datasets.ARC_e.ARC_e_gen_1e0de5 import \ |
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ARC_e_datasets |
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from opencompass.configs.datasets.ceval.ceval_gen_5f30c7 import \ |
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ceval_datasets |
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from opencompass.configs.datasets.cmmlu.cmmlu_gen_c13365 import \ |
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cmmlu_datasets |
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from opencompass.configs.datasets.commonsenseqa.commonsenseqa_gen_1da2d0 import \ |
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commonsenseqa_datasets |
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from opencompass.configs.datasets.hellaswag.hellaswag_gen_6faab5 import \ |
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hellaswag_datasets |
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from opencompass.configs.datasets.mmlu.mmlu_gen_a484b3 import mmlu_datasets |
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from opencompass.configs.datasets.obqa.obqa_gen_9069e4 import obqa_datasets |
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from opencompass.configs.datasets.race.race_gen_69ee4f import race_datasets |
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from opencompass.configs.models.hf_internlm.hf_internlm_chat_7b import \ |
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models as hf_internlm_chat_7b_model |
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from opencompass.configs.models.hf_internlm.hf_internlm_chat_20b import \ |
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models as hf_internlm_chat_20b_model |
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from opencompass.configs.models.qwen.hf_qwen_7b_chat import \ |
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models as hf_qwen_7b_chat_model |
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from opencompass.configs.models.qwen.hf_qwen_14b_chat import \ |
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models as hf_qwen_14b_chat_model |
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from opencompass.configs.summarizers.groups.ceval import \ |
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ceval_summary_groups |
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from opencompass.configs.summarizers.groups.cmmlu import \ |
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cmmlu_summary_groups |
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from opencompass.configs.summarizers.groups.mmlu import mmlu_summary_groups |
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for ds, t in [ |
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(ceval_datasets, CircularCEvalDataset), |
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(mmlu_datasets, CircularMMLUDataset), |
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(cmmlu_datasets, CircularCMMLUDataset), |
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(hellaswag_datasets, CircularHSWAGDataset), |
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(ARC_e_datasets, CircularARCDataset), |
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(ARC_c_datasets, CircularARCDataset), |
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(commonsenseqa_datasets, CircularCSQADataset), |
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(obqa_datasets, CircularOBQADataset), |
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(race_datasets, CircularRaceDataset), |
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]: |
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for d in ds: |
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d['type'] = t |
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d['abbr'] = d['abbr'] + '-circular-4' |
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d['eval_cfg']['evaluator'] = { |
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'type': CircularEvaluator, |
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'circular_pattern': 'circular' |
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} |
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d['circular_patterns'] = 'circular' |
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datasets = sum([ |
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v |
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for k, v in locals().items() if k.endswith('_datasets') or k == 'datasets' |
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], []) |
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models = sum([v for k, v in locals().items() if k.endswith('_model')], []) |
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other_summary_groups = [ |
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{ |
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'name': |
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'average', |
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'subsets': [ |
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'ceval', 'mmlu', 'cmmlu', 'hellaswag', 'ARC-e', 'ARC-c', |
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'commonsense_qa', 'openbookqa_fact', 'race-middle', 'race-high' |
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] |
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}, |
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] |
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origin_summary_groups = sum( |
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[v for k, v in locals().items() if k.endswith('_summary_groups')], []) |
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new_summary_groups = [] |
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for item in origin_summary_groups: |
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new_summary_groups.append({ |
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'name': |
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item['name'] + '-circular-4', |
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'subsets': [i + '-circular-4' for i in item['subsets']], |
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}) |
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summarizer = dict( |
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type=CircularSummarizer, |
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metric_types=['acc_origin', 'perf_circular'], |
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dataset_abbrs=[ |
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'average-circular-4', |
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'ceval-circular-4', |
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'mmlu-circular-4', |
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'cmmlu-circular-4', |
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'hellaswag-circular-4', |
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'ARC-e-circular-4', |
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'ARC-c-circular-4', |
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'commonsense_qa-circular-4', |
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'openbookqa_fact-circular-4', |
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'race-middle-circular-4', |
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'race-high-circular-4', |
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'ceval-humanities-circular-4', |
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'ceval-stem-circular-4', |
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'ceval-social-science-circular-4', |
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'ceval-other-circular-4', |
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'mmlu-humanities-circular-4', |
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'mmlu-stem-circular-4', |
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'mmlu-social-science-circular-4', |
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'mmlu-other-circular-4', |
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'cmmlu-humanities-circular-4', |
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'cmmlu-stem-circular-4', |
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'cmmlu-social-science-circular-4', |
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'cmmlu-other-circular-4', |
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'cmmlu-china-specific-circular-4', |
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], |
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summary_groups=new_summary_groups, |
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) |
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