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fa54aa62f6
* fix pip version * fix pip version * update (#1522) Co-authored-by: zhulin1 <zhulin1@pjlab.org.cn> * [Feature] Update Models (#1518) * Update Models * Update * Update humanevalx * Update * Update * [Feature] Dataset prompts update for ARC, BoolQ, Race (#1527) add judgerbench and reorg sub add judgerbench and reorg subeval add judgerbench and reorg subeval * add judgerbench and reorg subeval * add judgerbench and reorg subeval * add judgerbench and reorg subeval * add judgerbench and reorg subeval --------- Co-authored-by: zhulinJulia24 <145004780+zhulinJulia24@users.noreply.github.com> Co-authored-by: zhulin1 <zhulin1@pjlab.org.cn> Co-authored-by: Songyang Zhang <tonysy@users.noreply.github.com> Co-authored-by: Linchen Xiao <xxllcc1993@gmail.com>
67 lines
2.3 KiB
Python
67 lines
2.3 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 AlignmentBenchDataset, alignbench_postprocess
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subjective_reader_cfg = dict(
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input_columns=['question', 'capability', 'critiquellm_prefix'],
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output_column='judge',
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)
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subjective_all_sets = [
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'alignment_bench_v1_1', # Changed to Alignbench_v1_1 since 06/15/2024, refer to https://github.com/THUDM/AlignBench
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]
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data_path ='data/subjective/alignment_bench'
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alignment_bench_config_path = 'data/subjective/alignment_bench/config'
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alignment_bench_config_name = 'multi-dimension'
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alignbench_datasets = []
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for _name in subjective_all_sets:
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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_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 = '{critiquellm_prefix}[助手的答案开始]\n{prediction}\n[助手的答案结束]\n'
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),
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]),
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),
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dict_postprocessor=dict(type=alignbench_postprocess, judge_type='general'),
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),
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pred_role='BOT',
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)
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alignbench_datasets.append(
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dict(
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abbr=f'{_name}',
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type=AlignmentBenchDataset,
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path=data_path,
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name=_name,
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alignment_bench_config_path=alignment_bench_config_path,
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alignment_bench_config_name=alignment_bench_config_name,
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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='singlescore',
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))
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