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

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@@ -333,7 +333,7 @@ pipeline1 = Pipeline(workspace=ws, steps=steps)
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### Use a dataset
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To use eith a `TabularDataset` or `FileDataset` in your pipeline, you need to turn it into a [DatasetConsumptionConfig](https://docs.microsoft.com/python/api/azureml-core/azureml.data.dataset_consumption_config.datasetconsumptionconfig?view=azure-ml-py) object by calling [as_named_input(name)](https://docs.microsoft.com/python/api/azureml-core/azureml.data.abstract_dataset.abstractdataset?view=azure-ml-py#as-named-input-name-). You pass this `DatasetConsumptionConfig` object as one of the `inputs` to your pipeline step.
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To use either a `TabularDataset` or `FileDataset` in your pipeline, you need to turn it into a [DatasetConsumptionConfig](https://docs.microsoft.com/python/api/azureml-core/azureml.data.dataset_consumption_config.datasetconsumptionconfig?view=azure-ml-py) object by calling [as_named_input(name)](https://docs.microsoft.com/python/api/azureml-core/azureml.data.abstract_dataset.abstractdataset?view=azure-ml-py#as-named-input-name-). You pass this `DatasetConsumptionConfig` object as one of the `inputs` to your pipeline step.
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```python
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dataset_consuming_step = PythonScriptStep(

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