added information from feedback

Author: Gabefire

examples/basics/quick_start.ipynb

@@ -95,10 +95,10 @@
       "source": [
         "## Step 1: Create Dataset and Import Data Row\n",
         "\n",
-        "Below we will be creating a dataset and then attaching a publicly hosted image data row. Typically you would either import data rows that are hosted on a cloud provider (_recommended_) or import them locally. For more information, visit our [import image data section](https://docs.labelbox.com/reference/image) in our developer guides.\n",
+        "Below, we will create a dataset and then attach a publicly hosted image data row. Typically, you would either import data rows hosted on a cloud provider (_recommended_) or import them locally. For more information, visit our [import image data section](https://docs.labelbox.com/reference/image) in our developer guides.\n",
         "\n",
-        "* Data rows are internal representation of an asset in Labelbox. A data row contains the asset to be labeled and all of the relevant information about that asset\n",
-        "* A dataset is a collection of data rows imported into Labelbox. They live inside the [_Catelog_](https://docs.labelbox.com/docs/catalog-overview) section of Labelbox."
+        "- Data rows are internal representations of an asset in Labelbox. A data row contains the asset to be labeled and all of the relevant information about that asset\n",
+        "- A dataset is a collection of data rows imported into Labelbox. They live inside the [_Catalog_](https://docs.labelbox.com/docs/catalog-overview) section of Labelbox."
       ]
     },
     {
@@ -134,7 +134,7 @@
       "source": [
         "## Step 2: Creating an Ontology\n",
         "\n",
-        "Before we send our data row to a labeling project we first must create an ontology. In the example below we will be creating a simple ontology with a bounding box tool and a check list classification feature. For more information, visit the [ontology section](https://docs.labelbox.com/reference/ontology) inside our developer guides. \n",
+        "Before we send our data row to a labeling project we first must create an ontology. In the example below we will be creating a simple ontology with a bounding box tool and a checklist classification feature. For more information, visit the [ontology section](https://docs.labelbox.com/reference/ontology) inside our developer guides. \n",
         "\n",
         "* An ontology is a collection of annotations and their relationships (also known as a taxonomy). Ontologies can be reused across different projects. It is essential for data labeling, model training, and evaluation. Created ontologies with there associated features are located inside the _Schema_ section within Labelbox."
       ]
@@ -184,7 +184,7 @@
       "source": [
         "## Step 3: Creating a Project and Attaching our Ontology\n",
         "\n",
-        "Now that we have made our ontology we are ready to create a project were we can label our data row.\n",
+        "Now that we have made our ontology, we are ready to create a project where we can label our data row.\n",
         "\n",
         "* Projects are labeling environments in Labelbox similar to a factory assembly line for producing annotations. The initial state of the project can start with raw data, pre-existing ground truth, or pre-labeled data."
       ]
@@ -211,7 +211,9 @@
       "source": [
         "## Step 4: Sending our Data Row to our Project by Creating a Batch\n",
         "\n",
-        "With our project created we can send our data rows by creating a batch. Our data rows will start in the initial labeling queue were labelers are able to annotate our data row. For more information on batches, review the [batches section](https://docs.labelbox.com/reference/batch#create-a-batch) of our developer guides."
+        "With our project created, we can send our data rows by creating a batch. Our data rows will start in the initial labeling queue, where labelers are able to annotate our data row.\n",
+        "\n",
+        "* A batch is a curated selection of data rows you can send to a project for labeling. You can create a batch with a combination of data rows within any dataset. For more information on creating batches, review the [batches section](https://docs.labelbox.com/reference/batch#create-a-batch) of our developer guides."
       ]
     },
     {
@@ -233,11 +235,11 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "# Step 5: Exporting from our Project\n",
+        "## Step 5: Exporting from our Project\n",
         "\n",
         "We have now successfully set up a project for labeling using only the SDK! 🚀 \n",
         "\n",
-        "From here you can either label our data row directly inside the [labeling queue](https://docs.labelbox.com/docs/labeling-queue) or [import annotations](https://docs.labelbox.com/reference/import-image-annotations) through our SDK. Below we will demonstrate the final step of this guide by exporting from our project. Since we did not label any data rows or import annotations within this guide no labels will be presented on our data row. For a full overview of exporting visit our [export overview](https://docs.labelbox.com/reference/label-export) developer guide. "
+        "From here, you can either label our data row directly inside the [labeling queue](https://docs.labelbox.com/docs/labeling-queue) or [import annotations](https://docs.labelbox.com/reference/import-image-annotations) directly through our SDK. Below we will demonstrate the final step of this guide by exporting from our project. Since we did not label any data rows or import annotations within this guide, no labels will be presented on our data row. For a full overview of exporting, visit our [export overview](https://docs.labelbox.com/reference/label-export) developer guide."
       ]
     },
     {
@@ -268,7 +270,8 @@
       "metadata": {},
       "source": [
         "## Clean up\n",
-        "This section serves as an optional clean up step to delete the Labelbox assets created within this guide. You will need to uncomment the delete methods shown."
+        "\n",
+        "This section serves as an optional clean-up step to delete the Labelbox assets created within this guide. You will need to uncomment the delete methods shown."
       ]
     },
     {