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articles/machine-learning/service/how-to-create-your-first-pipeline.md

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@@ -122,7 +122,7 @@ iris_tabular_dataset = Dataset.Tabular.from_delimited_files([(def_blob_store, 't
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You create a `FileDataset` using [from_files](https://docs.microsoft.com/python/api/azureml-core/azureml.data.dataset_factory.filedatasetfactory?view=azure-ml-py#from-files-path--validate-true-).
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You can learn more about working with datasets from [Add & register datasets](how-to-create-register-datasets.md) or [this sample notebook](https://github.com/Azure/MachineLearningNotebooks/blob/master/how-to-use-azureml/work-with-data/datasets-tutorial/pipeline-with-datasets/pipeline-for-image-classification.ipynb).
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You can learn more about working with datasets from [Add & register datasets](how-to-create-register-datasets.md) or [this sample notebook](https://aka.ms/pl-datasets).
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## Set up compute target
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