Update docs and links to examples [skip test]

Author: maziyarpanahi

README.md

@@ -1,4 +1,4 @@
-# Spark NLP: State-of-the-Art Natural Language Processing
+ks# Spark NLP: State-of-the-Art Natural Language Processing
 
 <p align="center">
     <a href="https://github.com/JohnSnowLabs/spark-nlp/actions" alt="build">
@@ -228,8 +228,7 @@ result['entities']
 Output: ['Mona Lisa', 'Leonardo', 'Louvre', 'Paris']
 ```
 
-For more examples, you can visit our dedicated [repository](https://github.com/JohnSnowLabs/spark-nlp-workshop) to
-showcase all Spark NLP use cases!
+For more examples, you can visit our dedicated [examples](https://github.com/JohnSnowLabs/spark-nlp/tree/master/examples) to showcase all Spark NLP use cases!
 
 ## Apache Spark Support
 
@@ -706,7 +705,7 @@ This script comes with the two options to define `pyspark` and `spark-nlp` versi
 !wget https://setup.johnsnowlabs.com/colab.sh -O - | bash /dev/stdin -p 3.2.3 -s 4.3.0
 ```
 
-[Spark NLP quick start on Google Colab](https://colab.research.google.com/github/JohnSnowLabs/spark-nlp-workshop/blob/master/jupyter/quick_start_google_colab.ipynb)
+[Spark NLP quick start on Google Colab](https://colab.research.google.com/github/JohnSnowLabs/spark-nlp/blob/master/examples/python/quick_start_google_colab.ipynb)
 is a live demo on Google Colab that performs named entity recognitions and sentiment analysis by using Spark NLP
 pretrained pipelines.
 
@@ -1245,12 +1244,12 @@ PipelineModel.load("/tmp/explain_document_dl_en_2.0.2_2.4_1556530585689/")
 
 ## Examples
 
-Need more **examples**? Check out our dedicated [Spark NLP Showcase](https://github.com/JohnSnowLabs/spark-nlp-workshop)
+Need more **examples**? Check out our dedicated [Spark NLP Examples](https://github.com/JohnSnowLabs/spark-nlp/tree/master/examples)
 repository to showcase all Spark NLP use cases!
 
 Also, don't forget to check [Spark NLP in Action](https://nlp.johnsnowlabs.com/demo) built by Streamlit.
 
-### All examples: [spark-nlp-workshop](https://github.com/JohnSnowLabs/spark-nlp-workshop)
+### All examples: [spark-nlp/examples](https://github.com/JohnSnowLabs/spark-nlp/tree/master/examples)
 
 ## FAQ
 

docs/Gemfile.lock

@@ -297,6 +297,7 @@ PLATFORMS
   x64-mingw-ucrt
   x64-mingw32
   x86_64-darwin-21
+  x86_64-darwin-22
   x86_64-linux
 
 DEPENDENCIES

docs/en/examples.md

@@ -39,7 +39,7 @@ This script comes with the two options to define `pyspark` and `spark-nlp` versi
 !bash colab.sh -p 3.2.3 -s 4.3.0
 ```
 
-[Spark NLP quick start on Google Colab](https://colab.research.google.com/github/JohnSnowLabs/spark-nlp-workshop/blob/master/jupyter/quick_start_google_colab.ipynb) is a live demo on Google Colab that performs named entity recognitions and sentiment analysis by using Spark NLP pretrained pipelines.
+[Spark NLP quick start on Google Colab](https://colab.research.google.com/github/JohnSnowLabs/spark-nlp/blob/master/examples/python/quick_start_google_colab.ipynb) is a live demo on Google Colab that performs named entity recognitions and sentiment analysis by using Spark NLP pretrained pipelines.
 
 ## Kaggle Kernel
 

docs/en/quickstart.md

@@ -60,12 +60,12 @@ Make sure to check out our demos built by Streamlit to showcase Spark NLP in act
 
 <div class="block-wrapper"><div class="block-box" markdown="1">
 
-## Spark NLP Workshop
+## Spark NLP Examples
 
 If you prefer learning by example, check this repository:
 
 {:.btn-block}
-[Spark NLP Workshop](https://github.com/JohnSnowLabs/spark-nlp-workshop){:.button.button--primary.button--rounded.button--md}
+[Spark NLP Examples](https://github.com/JohnSnowLabs/spark-nlp/tree/master/examples){:.button.button--primary.button--rounded.button--md}
 
 </div><div class="block-box" markdown="1">
 

docs/en/spark_nlp.md

@@ -3,7 +3,7 @@ layout: docs
 title: Spark NLP
 permalink: /docs/en/spark-nlp
 key: docs-spark_nlp
-modify_date: "2022-12-21"
+modify_date: "2023-02-09"
 header: true
 seotitle:
 show_nav: true
@@ -68,12 +68,12 @@ Make sure to check out our demos built by Streamlit to showcase Spark NLP in act
 
 <div class="block-wrapper"><div class="block-box" markdown="1">
 
-## Spark NLP Workshop
+## Spark NLP Examples
 
 If you prefer learning by example, check this repository:
 
 {:.btn-block}
-[Spark NLP Workshop](https://github.com/JohnSnowLabs/spark-nlp-workshop){:.button.button--primary.button--rounded.button--md}
+[Spark NLP Examples](https://github.com/JohnSnowLabs/spark-nlp/tree/master/examples){:.button.button--primary.button--rounded.button--md}
 
 </div><div class="block-box" markdown="1">
 

docs/en/transformers.md

@@ -386,7 +386,7 @@ data:
           url: /demo
         - text: Examples
           type: trans
-          url: https://github.com/JohnSnowLabs/spark-nlp-workshop
+          url: https://github.com/JohnSnowLabs/spark-nlp/tree/master/examples
         - text: '<i class="fab fa-slack-hash"></i> Slack'
           type: trans
           url: https://join.slack.com/t/spark-nlp/shared_invite/zt-198dipu77-L3UWNe_AJ8xqDk0ivmih5Q

docs/index.md

@@ -1,4 +1,4 @@
-# Spark NLP: State-of-the-Art Natural Language Processing
+ks# Spark NLP: State-of-the-Art Natural Language Processing
 
 <p align="center">
     <a href="https://github.com/JohnSnowLabs/spark-nlp/actions" alt="build">
@@ -228,8 +228,7 @@ result['entities']
 Output: ['Mona Lisa', 'Leonardo', 'Louvre', 'Paris']
 ```
 
-For more examples, you can visit our dedicated [repository](https://github.com/JohnSnowLabs/spark-nlp-workshop) to
-showcase all Spark NLP use cases!
+For more examples, you can visit our dedicated [examples](https://github.com/JohnSnowLabs/spark-nlp/tree/master/examples) to showcase all Spark NLP use cases!
 
 ## Apache Spark Support
 
@@ -706,7 +705,7 @@ This script comes with the two options to define `pyspark` and `spark-nlp` versi
 !wget https://setup.johnsnowlabs.com/colab.sh -O - | bash /dev/stdin -p 3.2.3 -s 4.3.0
 ```
 
-[Spark NLP quick start on Google Colab](https://colab.research.google.com/github/JohnSnowLabs/spark-nlp-workshop/blob/master/jupyter/quick_start_google_colab.ipynb)
+[Spark NLP quick start on Google Colab](https://colab.research.google.com/github/JohnSnowLabs/spark-nlp/blob/master/examples/python/quick_start_google_colab.ipynb)
 is a live demo on Google Colab that performs named entity recognitions and sentiment analysis by using Spark NLP
 pretrained pipelines.
 
@@ -1227,8 +1226,8 @@ Example of using pretrained Models and Pipelines in offline:
 # french_pos = PerceptronModel.pretrained("pos_ud_gsd", lang="fr")
 # you download this model, extract it, and use .load
 french_pos = PerceptronModel.load("/tmp/pos_ud_gsd_fr_2.0.2_2.4_1556531457346/")
-.setInputCols("document", "token")
-.setOutputCol("pos")
+    .setInputCols("document", "token")
+    .setOutputCol("pos")
 
 # example for pipelines
 # instead of using PretrainedPipeline
@@ -1245,12 +1244,12 @@ PipelineModel.load("/tmp/explain_document_dl_en_2.0.2_2.4_1556530585689/")
 
 ## Examples
 
-Need more **examples**? Check out our dedicated [Spark NLP Showcase](https://github.com/JohnSnowLabs/spark-nlp-workshop)
+Need more **examples**? Check out our dedicated [Spark NLP Examples](https://github.com/JohnSnowLabs/spark-nlp/tree/master/examples)
 repository to showcase all Spark NLP use cases!
 
 Also, don't forget to check [Spark NLP in Action](https://nlp.johnsnowlabs.com/demo) built by Streamlit.
 
-### All examples: [spark-nlp-workshop](https://github.com/JohnSnowLabs/spark-nlp-workshop)
+### All examples: [spark-nlp/examples](https://github.com/JohnSnowLabs/spark-nlp/tree/master/examples)
 
 ## FAQ