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83 lines
2.3 KiB
Python
83 lines
2.3 KiB
Python
from opencompass.datasets import HealthBenchDataset, HealthBenchEvaluator
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from opencompass.openicl.icl_inferencer import ChatInferencer
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from opencompass.openicl.icl_prompt_template import PromptTemplate
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from opencompass.openicl.icl_retriever import ZeroRetriever
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# Reader configuration
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reader_cfg = dict(
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input_columns=[
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'prompt_trans',
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],
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output_column='prompt_id', # useless
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)
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infer_cfg = dict(
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prompt_template=dict(
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type=PromptTemplate,
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template=dict(
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round=[
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dict(
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role='HUMAN',
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prompt='{prompt_trans}', # prompt mode: zero-shot
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),
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],
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),
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),
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retriever=dict(type=ZeroRetriever),
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inferencer=dict(type=ChatInferencer),
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)
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# Evaluation configuration
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healthbench_dataset = dict(
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type=HealthBenchDataset,
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abbr='healthbench',
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path='huihuixu/healthbench',
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subset='',
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reader_cfg=reader_cfg,
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infer_cfg=infer_cfg,
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eval_cfg=dict(
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evaluator=dict(type=HealthBenchEvaluator, n_repeats=1, n_threads=1, subset_name=''),
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pred_role='BOT',
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),
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)
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healthbench_hard_dataset = dict(
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type=HealthBenchDataset,
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abbr='healthbench_hard',
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path='huihuixu/healthbench',
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subset='hard',
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reader_cfg=reader_cfg,
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infer_cfg=infer_cfg,
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eval_cfg=dict(
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evaluator=dict(type=HealthBenchEvaluator, n_repeats=1, n_threads=1, subset_name='hard'),
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pred_role='BOT',
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),
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)
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healthbench_consensus_dataset = dict(
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type=HealthBenchDataset,
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abbr='healthbench_consensus',
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path='huihuixu/healthbench',
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subset='consensus',
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reader_cfg=reader_cfg,
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infer_cfg=infer_cfg,
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eval_cfg=dict(
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evaluator=dict(type=HealthBenchEvaluator, n_repeats=1, n_threads=1, subset_name='consensus'),
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pred_role='BOT',
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),
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)
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# healthbench_meta_dataset = dict(
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# type=HealthBenchDatasetMeta,
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# abbr='healthbench_meta',
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# path='huihuixu/healthbench',
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# subset='meta',
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# reader_cfg=reader_cfg,
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# infer_cfg=infer_cfg,
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# eval_cfg=dict(
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# evaluator=dict(type=HealthBenchEvaluator, n_repeats=1, n_threads=1, subset_name=''),
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# pred_role='BOT',
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# ),
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# )
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healthbench_all_datasets = [healthbench_dataset, healthbench_hard_dataset, healthbench_consensus_dataset, ] # healthbench_meta_dataset ] |