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* [Feature] Support import configs/models/summarizers from whl * Update LCBench configs * Update * Update * Update * Update * update * Update * Update * Update * Update * Update
31 lines
1.0 KiB
Python
31 lines
1.0 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.datasets import NarrativeQADataset, TriviaQAEvaluator
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narrativeqa_reader_cfg = dict(
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input_columns=['question', 'evidence'],
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output_column='answer',
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train_split='valid',
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test_split='valid')
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narrativeqa_infer_cfg = dict(
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prompt_template=dict(
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type=PromptTemplate,
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template='{evidence}\nAnswer these questions:\nQ: {question}?\nA:'),
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retriever=dict(type=ZeroRetriever),
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inferencer=dict(
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type=GenInferencer, max_out_len=50, max_seq_len=8192, batch_size=4))
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narrativeqa_eval_cfg = dict(evaluator=dict(type=TriviaQAEvaluator))
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narrativeqa_datasets = [
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dict(
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type=NarrativeQADataset,
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abbr='NarrativeQA',
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path='./data/narrativeqa/',
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reader_cfg=narrativeqa_reader_cfg,
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infer_cfg=narrativeqa_infer_cfg,
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eval_cfg=narrativeqa_eval_cfg)
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]
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