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Update rag_bm.py
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@ -45,7 +45,7 @@ class RAGExample:
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self.llm = get_rag_llm()
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async def rag_evaluate_pipeline(self, dataset_name: list[str] = ["CRUD"]):
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dataset_config = self.benchmark.load_dataset()
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dataset_config = self.benchmark.load_dataset(dataset_name)
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for dataset in dataset_config.datasets:
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if "all" in dataset_name or dataset.name in dataset_name:
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