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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 LongBenchRougeEvaluator, LongBenchsamsumDataset, samsum_postprocess
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LongBench_samsum_reader_cfg = dict(
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input_columns=['context', 'input'],
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output_column='answers',
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train_split='test',
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test_split='test'
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)
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LongBench_samsum_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='Summarize the dialogue into a few short sentences. The following are some examples.\n\n{context}\n\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=128)
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)
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LongBench_samsum_eval_cfg = dict(
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evaluator=dict(type=LongBenchRougeEvaluator),
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pred_role='BOT',
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pred_postprocessor=dict(type=samsum_postprocess),
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)
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LongBench_samsum_datasets = [
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dict(
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type=LongBenchsamsumDataset,
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abbr='LongBench_samsum',
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path='THUDM/LongBench',
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name='samsum',
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reader_cfg=LongBench_samsum_reader_cfg,
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infer_cfg=LongBench_samsum_infer_cfg,
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eval_cfg=LongBench_samsum_eval_cfg)
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]
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