Merge pull request #112586 from sdgilley/patch-43

change dataset example

Author: PRMerger18

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

@@ -77,8 +77,8 @@ Upload data files or directories to the datastore for them to be accessible from
 
 ```python
 def_blob_store.upload_files(
-    ["./data/20news.pkl"],
-    target_path="20newsgroups",
+    ["iris.csv"],
+    target_path="train-dataset",
     overwrite=True)
 ```
 
@@ -97,7 +97,7 @@ You create a `Dataset` using methods like [from_file](https://docs.microsoft.com
 ```python
 from azureml.core import Dataset
 
-iris_tabular_dataset = Dataset.Tabular.from_delimited_files([(def_blob_store, 'train-dataset/tabular/iris.csv')])
+iris_tabular_dataset = Dataset.Tabular.from_delimited_files([(def_blob_store, 'train-dataset/iris.csv')])
 ```
 
 Intermediate data (or output of a step) is represented by a [PipelineData](https://docs.microsoft.com/python/api/azureml-pipeline-core/azureml.pipeline.core.pipelinedata?view=azure-ml-py) object. `output_data1` is produced as the output of a step, and used as the input of one or more future steps. `PipelineData` introduces a data dependency between steps, and creates an implicit execution order in the pipeline. This object will be used later when creating pipeline steps.