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[Feature] Dataset prompts update for ARC, BoolQ, Race (#1527)
This commit is contained in:
Linchen Xiao
GitHub
parent
6997990c93
commit
90279b6461
63
configs/datasets/ARC_c/ARC_c_few_shot_ppl.py
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63
configs/datasets/ARC_c/ARC_c_few_shot_ppl.py
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from opencompass.openicl.icl_prompt_template import PromptTemplate
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from opencompass.openicl.icl_retriever import ZeroRetriever, FixKRetriever
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from opencompass.openicl.icl_inferencer import PPLInferencer
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from opencompass.openicl.icl_evaluator import AccEvaluator
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from opencompass.datasets import ARCDataset
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ARC_c_reader_cfg = dict(
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input_columns=['question', 'textA', 'textB', 'textC', 'textD'],
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output_column='answerKey',
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)
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ARC_c_infer_cfg = dict(
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ice_template=dict(
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type=PromptTemplate,
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template={
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'A': dict(
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begin='</E>',
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round=[
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dict(role='HUMAN', prompt='Question: {question}\nAnswer: '),
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dict(role='BOT', prompt='{textA}'),
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],
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),
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'B': dict(
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begin='</E>',
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round=[
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dict(role='HUMAN', prompt='Question: {question}\nAnswer: '),
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dict(role='BOT', prompt='{textB}'),
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],
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),
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'C': dict(
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begin='</E>',
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round=[
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dict(role='HUMAN', prompt='Question: {question}\nAnswer: '),
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dict(role='BOT', prompt='{textC}'),
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],
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),
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'D': dict(
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begin='</E>',
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round=[
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dict(role='HUMAN', prompt='Question: {question}\nAnswer: '),
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dict(role='BOT', prompt='{textD}'),
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],
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),
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},
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ice_token='</E>',
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),
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retriever=dict(type=FixKRetriever, fix_id_list=[0, 2, 4, 6, 8]),
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inferencer=dict(type=PPLInferencer),
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)
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ARC_c_eval_cfg = dict(evaluator=dict(type=AccEvaluator))
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ARC_c_datasets = [
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dict(
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type=ARCDataset,
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abbr='ARC-c',
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path='opencompass/ai2_arc-dev',
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name='ARC-Challenge',
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reader_cfg=ARC_c_reader_cfg,
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infer_cfg=ARC_c_infer_cfg,
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eval_cfg=ARC_c_eval_cfg,
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)
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]
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@ -0,0 +1,47 @@
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from opencompass.openicl.icl_prompt_template import PromptTemplate
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from opencompass.openicl.icl_retriever import ZeroRetriever, FixKRetriever
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from opencompass.openicl.icl_evaluator import AccEvaluator
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from opencompass.datasets import BoolQDatasetV2
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from opencompass.openicl.icl_inferencer import PPLInferencer
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from opencompass.openicl.icl_evaluator import AccEvaluator
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BoolQ_reader_cfg = dict(
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input_columns=['question', 'passage'],
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output_column='label',
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)
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BoolQ_infer_cfg = dict(
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ice_template=dict(
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type=PromptTemplate,
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template={
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'B': dict(
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round=[
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dict(role='HUMAN', prompt='{passage}\nQuestion: {question}?'),
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dict(role='BOT', prompt='No'),
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]
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),
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'A': dict(
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round=[
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dict(role='HUMAN', prompt='{passage}\nQuestion: {question}?'),
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dict(role='BOT', prompt='Yes'),
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]
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),
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},
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ice_token='</E>',
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),
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retriever=dict(type=FixKRetriever, fix_id_list=[0, 2, 4, 6, 8]),
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inferencer=dict(type=PPLInferencer, max_out_len=50),
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)
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BoolQ_eval_cfg = dict(evaluator=dict(type=AccEvaluator))
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BoolQ_datasets = [
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dict(
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abbr='BoolQ',
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type=BoolQDatasetV2,
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path='opencompass/boolq',
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reader_cfg=BoolQ_reader_cfg,
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infer_cfg=BoolQ_infer_cfg,
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eval_cfg=BoolQ_eval_cfg,
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)
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]
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57
configs/datasets/race/race_few_shot_ppl.py
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57
configs/datasets/race/race_few_shot_ppl.py
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from opencompass.openicl.icl_prompt_template import PromptTemplate
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from opencompass.openicl.icl_retriever import ZeroRetriever, FixKRetriever
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from opencompass.openicl.icl_inferencer import PPLInferencer
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from opencompass.openicl.icl_evaluator import AccEvaluator
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from opencompass.datasets import RaceDataset
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race_reader_cfg = dict(
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input_columns=['article', 'question', 'A', 'B', 'C', 'D'],
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output_column='answer',
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train_split='validation',
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test_split='test',
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)
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race_infer_cfg = dict(
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ice_template=dict(
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type=PromptTemplate,
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template={
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ans: dict(
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begin='</E>',
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round=[
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dict(
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role='HUMAN',
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prompt='Article:\n{article}\nQuestion:\n{question}\nA. {A}\nB. {B}\nC. {C}\nD. {D}',
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),
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dict(role='BOT', prompt=f'Answer: {ans}'),
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],
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)
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for ans in ['A', 'B', 'C', 'D']
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},
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ice_token='</E>',
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),
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retriever=dict(type=FixKRetriever, fix_id_list=[0, 2, 4]),
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inferencer=dict(type=PPLInferencer),
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)
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race_eval_cfg = dict(evaluator=dict(type=AccEvaluator))
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race_datasets = [
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dict(
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abbr='race-middle',
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type=RaceDataset,
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path='opencompass/race',
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name='middle',
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reader_cfg=race_reader_cfg,
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infer_cfg=race_infer_cfg,
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eval_cfg=race_eval_cfg,
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),
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dict(
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abbr='race-high',
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type=RaceDataset,
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path='opencompass/race',
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name='high',
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reader_cfg=race_reader_cfg,
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infer_cfg=race_infer_cfg,
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eval_cfg=race_eval_cfg,
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),
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]
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63
opencompass/configs/datasets/ARC_c/ARC_c_few_shot_ppl.py
Normal file
63
opencompass/configs/datasets/ARC_c/ARC_c_few_shot_ppl.py
Normal file
@ -0,0 +1,63 @@
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from opencompass.openicl.icl_prompt_template import PromptTemplate
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from opencompass.openicl.icl_retriever import ZeroRetriever, FixKRetriever
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from opencompass.openicl.icl_inferencer import PPLInferencer
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from opencompass.openicl.icl_evaluator import AccEvaluator
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from opencompass.datasets import ARCDataset
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ARC_c_reader_cfg = dict(
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input_columns=['question', 'textA', 'textB', 'textC', 'textD'],
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output_column='answerKey',
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)
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ARC_c_infer_cfg = dict(
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ice_template=dict(
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type=PromptTemplate,
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template={
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'A': dict(
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begin='</E>',
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round=[
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dict(role='HUMAN', prompt='Question: {question}\nAnswer: '),
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dict(role='BOT', prompt='{textA}'),
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],
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),
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'B': dict(
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begin='</E>',
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round=[
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dict(role='HUMAN', prompt='Question: {question}\nAnswer: '),
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dict(role='BOT', prompt='{textB}'),
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],
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),
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'C': dict(
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begin='</E>',
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round=[
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dict(role='HUMAN', prompt='Question: {question}\nAnswer: '),
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dict(role='BOT', prompt='{textC}'),
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],
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),
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'D': dict(
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begin='</E>',
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round=[
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dict(role='HUMAN', prompt='Question: {question}\nAnswer: '),
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dict(role='BOT', prompt='{textD}'),
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],
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),
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},
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ice_token='</E>',
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),
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retriever=dict(type=FixKRetriever, fix_id_list=[0, 2, 4, 6, 8]),
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inferencer=dict(type=PPLInferencer),
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)
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ARC_c_eval_cfg = dict(evaluator=dict(type=AccEvaluator))
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ARC_c_datasets = [
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dict(
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type=ARCDataset,
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abbr='ARC-c',
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path='opencompass/ai2_arc-dev',
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name='ARC-Challenge',
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reader_cfg=ARC_c_reader_cfg,
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infer_cfg=ARC_c_infer_cfg,
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eval_cfg=ARC_c_eval_cfg,
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)
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]
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@ -0,0 +1,47 @@
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from opencompass.openicl.icl_prompt_template import PromptTemplate
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from opencompass.openicl.icl_retriever import ZeroRetriever, FixKRetriever
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from opencompass.openicl.icl_evaluator import AccEvaluator
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from opencompass.datasets import BoolQDatasetV2
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from opencompass.openicl.icl_inferencer import PPLInferencer
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from opencompass.openicl.icl_evaluator import AccEvaluator
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BoolQ_reader_cfg = dict(
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input_columns=['question', 'passage'],
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output_column='label',
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)
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BoolQ_infer_cfg = dict(
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ice_template=dict(
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type=PromptTemplate,
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template={
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'B': dict(
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round=[
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dict(role='HUMAN', prompt='{passage}\nQuestion: {question}?'),
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dict(role='BOT', prompt='No'),
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]
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),
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'A': dict(
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round=[
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dict(role='HUMAN', prompt='{passage}\nQuestion: {question}?'),
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dict(role='BOT', prompt='Yes'),
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]
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),
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},
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ice_token='</E>',
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),
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retriever=dict(type=FixKRetriever, fix_id_list=[0, 2, 4, 6, 8]),
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inferencer=dict(type=PPLInferencer, max_out_len=50),
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)
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BoolQ_eval_cfg = dict(evaluator=dict(type=AccEvaluator))
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BoolQ_datasets = [
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dict(
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abbr='BoolQ',
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type=BoolQDatasetV2,
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path='opencompass/boolq',
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reader_cfg=BoolQ_reader_cfg,
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infer_cfg=BoolQ_infer_cfg,
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eval_cfg=BoolQ_eval_cfg,
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)
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]
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57
opencompass/configs/datasets/race/race_few_shot_ppl.py
Normal file
57
opencompass/configs/datasets/race/race_few_shot_ppl.py
Normal file
@ -0,0 +1,57 @@
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from opencompass.openicl.icl_prompt_template import PromptTemplate
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from opencompass.openicl.icl_retriever import ZeroRetriever, FixKRetriever
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from opencompass.openicl.icl_inferencer import PPLInferencer
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from opencompass.openicl.icl_evaluator import AccEvaluator
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from opencompass.datasets import RaceDataset
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race_reader_cfg = dict(
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input_columns=['article', 'question', 'A', 'B', 'C', 'D'],
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output_column='answer',
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train_split='validation',
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test_split='test',
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)
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race_infer_cfg = dict(
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ice_template=dict(
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type=PromptTemplate,
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template={
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ans: dict(
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begin='</E>',
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round=[
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dict(
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role='HUMAN',
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prompt='Article:\n{article}\nQuestion:\n{question}\nA. {A}\nB. {B}\nC. {C}\nD. {D}',
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),
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dict(role='BOT', prompt=f'Answer: {ans}'),
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],
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)
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for ans in ['A', 'B', 'C', 'D']
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},
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ice_token='</E>',
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),
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retriever=dict(type=FixKRetriever, fix_id_list=[0, 2, 4]),
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inferencer=dict(type=PPLInferencer),
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)
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race_eval_cfg = dict(evaluator=dict(type=AccEvaluator))
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race_datasets = [
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dict(
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abbr='race-middle',
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type=RaceDataset,
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path='opencompass/race',
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name='middle',
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reader_cfg=race_reader_cfg,
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infer_cfg=race_infer_cfg,
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eval_cfg=race_eval_cfg,
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),
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dict(
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abbr='race-high',
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type=RaceDataset,
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path='opencompass/race',
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name='high',
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reader_cfg=race_reader_cfg,
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infer_cfg=race_infer_cfg,
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eval_cfg=race_eval_cfg,
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),
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]
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