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68ca48496b
* fix pip version * fix pip version * reorganize subjective eval * reorg sub * reorg subeval * reorg subeval * update subjective doc * reorg subeval * reorg subeval
66 lines
2.1 KiB
Python
66 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.openicl.icl_evaluator import LMEvaluator
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from opencompass.datasets import CompassBenchControlLengthBiasDataset
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from opencompass.summarizers import CompassBenchSummarizer
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subjective_reader_cfg = dict(
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input_columns=['question', 'judge_prompt'],
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output_column='judge',
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)
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data_path ='data/subjective/compassbench'
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compassbench_datasets = []
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versions = ['CompassBenchV1.1']
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gpt4 = [dict(
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abbr='gpt4-turbo',
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)]
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for version_abbr in versions:
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subjective_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(
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role='HUMAN',
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prompt='{question}'
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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=GenInferencer, max_seq_len=4096, max_out_len=2048),
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)
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subjective_eval_cfg = dict(
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evaluator=dict(
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type=LMEvaluator,
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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(
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role='HUMAN',
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prompt = '{judge_prompt}'
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),
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]),
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),
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),
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pred_role='BOT',
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)
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compassbench_datasets.append(
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dict(
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abbr=version_abbr,
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type=CompassBenchControlLengthBiasDataset,
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path=data_path,
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name=version_abbr,
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reader_cfg=subjective_reader_cfg,
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infer_cfg=subjective_infer_cfg,
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eval_cfg=subjective_eval_cfg,
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mode='m2n',
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infer_order='double',
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base_models=gpt4,
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summarizer=dict(type=CompassBenchSummarizer, summary_type='half_add'),
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given_pred = [{'abbr':'gpt4-turbo', 'path':'./data/subjective/alpaca_eval/gpt4-turbo'}]
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))
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