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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
40 lines
1.3 KiB
Python
40 lines
1.3 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.datasets import LongBenchClassificationEvaluator, LongBenchtrecDataset, trec_postprocess
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LongBench_trec_reader_cfg = dict(
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input_columns=['context', 'input'],
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output_column='all_labels',
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train_split='test',
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test_split='test'
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)
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LongBench_trec_infer_cfg = dict(
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prompt_template=dict(
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type=PromptTemplate,
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template=dict(
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round=[
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dict(role='HUMAN', prompt='Please determine the type of the question below. Here are some examples of questions.\n\n{context}\n{input}'),
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], )),
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retriever=dict(type=ZeroRetriever),
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inferencer=dict(type=GenInferencer, max_out_len=64)
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)
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LongBench_trec_eval_cfg = dict(
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evaluator=dict(type=LongBenchClassificationEvaluator),
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pred_role='BOT',
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pred_postprocessor=dict(type=trec_postprocess),
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)
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LongBench_trec_datasets = [
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dict(
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type=LongBenchtrecDataset,
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abbr='LongBench_trec',
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path='THUDM/LongBench',
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name='trec',
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reader_cfg=LongBench_trec_reader_cfg,
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infer_cfg=LongBench_trec_infer_cfg,
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eval_cfg=LongBench_trec_eval_cfg)
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]
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