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https://github.com/open-compass/opencompass.git
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689ffe5b63
* update commonsenseqa * update drop * update flores_first100 * update gsm8k * update humaneval * update lambda * update obqa * update piqa * update race * update siqa * update story_cloze * update strategyqa * update tydiqa * update winogrande * update doc * update hellaswag * fix obqa * update collections * update .zip name
65 lines
1.9 KiB
Python
65 lines
1.9 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 PPLInferencer
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from opencompass.openicl.icl_evaluator import AccEvaluator
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from opencompass.datasets import OBQADataset
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_input_columns = [
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['question_stem', 'A', 'B', 'C', 'D'],
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['question_stem', 'A', 'B', 'C', 'D', 'fact1'],
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]
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_template = [
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{
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ans: dict(
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round=[
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dict(
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role="HUMAN",
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prompt=
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"Question: {question_stem}\nA. {A}\nB. {B}\nC. {C}\nD. {D}\nAnswer:"
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),
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dict(role="BOT", prompt=ans),
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], )
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for ans in ['A', 'B', 'C', 'D']
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},
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{
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ans: dict(
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round=[
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dict(
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role="HUMAN",
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prompt=
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"Given the fact: {fact1}\nQuestion: {question_stem}\nA. {A}\nB. {B}\nC. {C}\nD. {D}\nAnswer:"
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),
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dict(role="BOT", prompt=ans),
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], )
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for ans in ['A', 'B', 'C', 'D']
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}
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]
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obqa_datasets = [
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dict(
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abbr="openbookqa",
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type=OBQADataset,
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path='./data/openbookqa/Main/test.jsonl',
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),
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dict(
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abbr='openbookqa_fact',
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type=OBQADataset,
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path='./data/openbookqa/Additional/test_complete.jsonl',
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),
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]
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for _i in range(2):
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obqa_reader_cfg = dict(
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input_columns=_input_columns[_i], output_column="answerKey")
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obqa_infer_cfg = dict(
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prompt_template=dict(
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type=PromptTemplate,
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template=_template[_i]),
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retriever=dict(type=ZeroRetriever),
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inferencer=dict(type=PPLInferencer),
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)
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obqa_eval_cfg = dict(evaluator=dict(type=AccEvaluator), )
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obqa_datasets[_i]["reader_cfg"] = obqa_reader_cfg
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obqa_datasets[_i]["infer_cfg"] = obqa_infer_cfg
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obqa_datasets[_i]["eval_cfg"] = obqa_eval_cfg
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