Cherry pick #44008 and #44022 (#44095)

Signed-off-by: Cheng Su <[email protected]>
ray-project · Mar 18, 2024 · 27b68d1 · 27b68d1
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diff --git a/doc/source/data/data-internals.rst b/doc/source/data/data-internals.rst
@@ -7,7 +7,7 @@ Ray Data Internals
 This guide describes the implementation of Ray Data. The intended audience is advanced
 users and Ray Data developers.
 
-For a gentler introduction to Ray Data, see :ref:`Key concepts <data_key_concepts>`.
+For a gentler introduction to Ray Data, see :ref:`Quickstart <data_quickstart>`.
 
 .. _dataset_concept:
 

diff --git a/doc/source/data/data.rst b/doc/source/data/data.rst
@@ -8,16 +8,14 @@ Ray Data: Scalable Datasets for ML
     :hidden:
 
     Overview <overview>
-    key-concepts
+    quickstart
     user-guide
     examples
     api/api
     data-internals
 
 Ray Data is a scalable data processing library for ML workloads. It provides flexible and performant APIs for scaling :ref:`Offline batch inference <batch_inference_overview>` and :ref:`Data preprocessing and ingest for ML training <ml_ingest_overview>`. Ray Data uses `streaming execution <https://www.anyscale.com/blog/streaming-distributed-execution-across-cpus-and-gpus>`__ to efficiently process large datasets.
 
-.. image:: images/dataset.svg
-
 ..
   https://docs.google.com/drawings/d/16AwJeBNR46_TsrkOmMbGaBK7u-OPsf_V8fHjU-d2PPQ/edit
 
@@ -57,19 +55,19 @@ Learn more
 
     .. grid-item-card::
 
-        **Key Concepts**
+        **Quickstart**
         ^^^
 
         Understand the key concepts behind Ray Data. Learn what
-        :ref:`Datasets <dataset_concept>` are and how they're used.
+        Datasets are and how they're used.
 
         +++
-        .. button-ref:: data_key_concepts
+        .. button-ref:: data_quickstart
             :color: primary
             :outline:
             :expand:
 
-            Learn Key Concepts
+            Quickstart
 
     .. grid-item-card::
 
@@ -118,7 +116,7 @@ Learn more
 
     .. grid-item-card::
 
-        **Ray blogs**
+        **Ray Blogs**
         ^^^
 
         Get the latest on engineering updates from the Ray team and how companies are using Ray Data.

diff --git a/doc/source/data/examples/gptj_batch_prediction.ipynb b/doc/source/data/examples/gptj_batch_prediction.ipynb
diff --git a/doc/source/data/examples/stablediffusion_batch_prediction.ipynb b/doc/source/data/examples/stablediffusion_batch_prediction.ipynb
@@ -11,7 +11,7 @@
     "\n",
     "We will use Ray Data and a pretrained model from Hugging Face hub. Note that you can easily adapt this example to use other similar models.\n",
     "\n",
-    "It is highly recommended to read [Ray Train Key Concepts](train-key-concepts) and [Ray Data Key Concepts](data_key_concepts) before starting this example.\n",
+    "It is highly recommended to read [Ray Train Key Concepts](train-key-concepts) and [Ray Data Quickstart](data_quickstart) before starting this example.\n",
     "\n",
     "```{note}\n",
     "In order to run this example, make sure your Ray cluster has access to at least one GPU with 16 or more GBs of memory. The amount of memory needed will depend on the model.\n",

diff --git a/doc/source/data/images/dataset.svg b/doc/source/data/images/dataset.svg