Github user HyukjinKwon commented on a diff in the pull request:
https://github.com/apache/spark/pull/22675#discussion_r226164264
--- Diff: docs/ml-datasource.md ---
@@ -0,0 +1,90 @@
+---
+layout: global
+title: Data sources
+displayTitle: Data sources
+---
+
+In this section, we introduce how to use data source in ML to load data.
+Beside some general data sources like Parquet, CSV, JSON and JDBC, we also
provide some specific data source for ML.
+
+**Table of Contents**
+
+* This will become a table of contents (this text will be scraped).
+{:toc}
+
+## Image data source
+
+This image data source is used to load image files from a directory, it
can load compressed image (jpeg, png, etc.) into raw image representation via
ImageIO in Java library.
+The loaded DataFrame has one StructType column: "image". containing image
data stored as image schema.
+The schema of the `image` column is:
+ - origin: String (represents the file path of the image)
--- End diff --
I would use SQL types consistently, for instance, StringType, IntegerType
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