Improve examples README and add back deleted lines to .gitignore

Author: whoseoyster

.gitignore

@@ -12,6 +12,11 @@ dependencies/
 *.bin
 *.csv
 
+# Ignore everything in examples/ except the task dirs
+!examples
+examples/*
+!examples/tabular-classification
+!examples/text-classification
 
 # Documentation generated files #
 #################################

examples/README.md

@@ -2,23 +2,24 @@
   <img src="logo-blue-text.svg"><br>
 </div>
 
-# Examples Gallery | Unbox AI 
+# Examples Gallery | Unbox AI
+
 [![Tweet](https://img.shields.io/twitter/url/http/shields.io.svg?style=social)](https://twitter.com/intent/tweet?text=Unbox:%20The%20debugging%20workspace%20for%20ML%20&url=https://github.com/unboxai&via=unbox_ai&hashtags=mlops)
 [![PyPI Latest Release](https://img.shields.io/pypi/v/unboxapi.svg)](https://pypi.org/project/unboxapi/)
 [![downloads](https://pepy.tech/badge/unboxapi)](https://pepy.tech/project/unboxapi)
 
-This repository contains a gallery of sample notebooks illustrating the process of **creating projects and uploading models & datasets** to the Unbox platform. 
+This repository contains a gallery of sample notebooks illustrating the process of **creating projects and uploading models & datasets** to the Unbox platform.
 
 ## Why this repository exists?
 
 This repository fulfils two main goals:
 
-1. It demonstrates our Python API in action; and
-2. It provides toy examples that may be somewhat similar to the problems you are solving at your organization. 
+1. It demonstrates our Python API in action
+2. It provides simple examples that may be similar to the problems you are solving at your organization.
 
-We take privacy seriously and understand that sometimes, your actual models and datasets are sensible and cannot be uploaded to our community edition platform. No worries, we got you covered. Unbox also offers an on-premise solution that you can host in your own virtual private cloud (VPC). 
+We take privacy & security very seriously and understand that your models and datasets might contain sensitive or proprietary information. [Reach out to us](mailto:founders@unbox.ai) if you are interested in our on-premise solution.
 
-In that case, pick a task type, model framework or problem that shares similarities with your actual models / datasets and start exploring Unbox's right away! If you like it, [contact us](mailto:founders@unbox.ai) and we can discuss the best solution for your organization's needs.
+In the meantime, pick a task, model framework or problem that shares similarities with something you are working on and start exploring Unbox right away!
 
 ## What is Unbox?
 
@@ -28,9 +29,9 @@ Unbox is a debugging workspace for ML & Data Science. Unbox combines and builds
 
 ## Installation
 
-To run the notebooks on this repository, you'll need to have the `unboxapi` module installed. 
+To run the notebooks in this repository, you'll need to have the `unboxapi` library installed.
 
-You can do so with with PyPI (pip)
+Install with PyPI (pip)
 
 ```console
 pip install --upgrade unboxapi
@@ -44,7 +45,7 @@ conda install unboxapi --channel conda-forge
 
 ## Documentation
 
-This repository complements the rest of the documentation. Navigate [here](https://docs.unbox.ai) for a quickstart guide and for in-depth tutorials. The full Python API reference can be found [here](https://reference.unbox.ai).
+This repository complements the rest of the documentation. Navigate [here](https://docs.unbox.ai) for a quickstart guide and for in-depth tutorials. The full Python library reference can be found [here](https://reference.unbox.ai).
 
 ## Contributing