Merge pull request #77339 from j-martens/patch-463

Update how-to-create-register-datasets.md

Author: PRMerger12

articles/machine-learning/service/how-to-create-register-datasets.md

@@ -42,6 +42,13 @@ To create and register Datasets you need:
 > [!Note]
 > Some Dataset classes (preview) have dependencies on the [azureml-dataprep](https://docs.microsoft.com/python/api/azureml-dataprep/?view=azure-ml-py) package (GA). For Linux users, these classes are supported only on the following distributions:  Red Hat Enterprise Linux, Ubuntu, Fedora, and CentOS.
 
+## Supported data formats
+
+You can extract data from the following formats to create a dataset:
++ [delimited](https://docs.microsoft.com/python/api/azureml-core/azureml.core.dataset.dataset?view=azure-ml-py#from-delimited-files-path--separator------header--promoteheadersbehavior-allfileshavesameheaders--3---encoding--fileencoding-utf8--0---quoting-false--infer-column-types-true--skip-rows-0--skip-mode--skiplinesbehavior-norows--0---comment-none--include-path-false--archive-options-none-)
++ [binary](https://docs.microsoft.com/python/api/azureml-core/azureml.core.dataset.dataset?view=azure-ml-py#from-binary-files-path-)
+
+
 ## Create datasets 
 
 ### Create from local files
@@ -59,7 +66,7 @@ from azureml.core.dataset import Dataset
 dataset = Dataset.auto_read_files('./data/crime.csv')
 ```
 
-Alternatively, use the file-specific functions to explicitly control the parsing of your file. Currently, the Datasets SDK supports [delimited](https://docs.microsoft.com/python/api/azureml-core/azureml.core.dataset.dataset?view=azure-ml-py#from-delimited-files-path--separator------header--promoteheadersbehavior-allfileshavesameheaders--3---encoding--fileencoding-utf8--0---quoting-false--infer-column-types-true--skip-rows-0--skip-mode--skiplinesbehavior-norows--0---comment-none--include-path-false--archive-options-none-), [Excel](https://docs.microsoft.com/python/api/azureml-core/azureml.core.dataset.dataset?view=azure-ml-py#from-excel-files-path--sheet-name-none--use-column-headers-false--skip-rows-0--include-path-false--infer-column-types-true-), [Parquet](https://docs.microsoft.com/python/api/azureml-core/azureml.core.dataset.dataset?view=azure-ml-py#from-parquet-files-path--include-path-false-), [binary](https://docs.microsoft.com/python/api/azureml-core/azureml.core.dataset.dataset?view=azure-ml-py#from-binary-files-path-), and [json](https://docs.microsoft.com/python/api/azureml-core/azureml.core.dataset.dataset?view=azure-ml-py#from-json-files-path--encoding--fileencoding-utf8--0---flatten-nested-arrays-false--include-path-false-) file formats.
+Alternatively, use the file-specific functions to explicitly control the parsing of your file. 
 
 ### Create from Azure Datastores