Merge pull request #1 from Labelbox/small_edits

minor edits

Author: raphaeljafriLB

notebooks/create_data_rows_example.ipynb

@@ -17,16 +17,16 @@
     "tags": []
    },
    "source": [
-    "# Labelpandas - The Labelbox <> Pandas Connector\n",
-    "**Instantly Load CSVs (and other Tables) into Labelbox**\n",
+    "# LabelPandas - The Labelbox <> Pandas Connector\n",
+    "**Instantly load CSVs (and other tables) into Labelbox**\n",
     "\n",
     "---\n",
     "\n",
-    "This notebook is used to go over the basic use of the Labelpandas Python SDK. \n",
+    "This notebook demonstrates the basic use of the LabelPandas Python SDK. \n",
     "\n",
     "**Pandas** is a Python library that helps in loading and manipulating CSVs and tabular data more efficiently. It is one of the most widely used Python libraries in the world.\n",
     "\n",
-    "**Labelpandas** incorporates both Labelbox and Pandas to make uploading CSVs and tabular data to Labelbox straightforward. It can handle both local file assets as well as cloud-hosted assets. "
+    "**LabelPandas** incorporates both Labelbox and Pandas to make uploading CSVs and tabular data to Labelbox straightforward. It can handle both local file assets as well as cloud-hosted assets. "
    ]
   },
   {
@@ -54,7 +54,7 @@
    "id": "1dfe1eae-e28f-4928-9058-796d097f38cc",
    "metadata": {},
    "source": [
-    "# Set up Labelpandas Client"
+    "## Set up LabelPandas Client"
    ]
   },
   {
@@ -84,14 +84,14 @@
    "source": [
     "# Load CSV\n",
     "\n",
-    "To upload data rows from a csv, your csv **must** have the following:\n",
+    "To upload data rows from a `.csv`, your .`csv` **must** have the following:\n",
     "\n",
-    "- Column consisting of your **row data** as a string value - this pertains to either your asset URL (pointing to cloud storage) or a local file path\n",
+    "- Column consisting of your **row data** as a string value - this pertains to either your asset URL (pointing to cloud storage) or a local file path.\n",
     "    \n",
-    "- Column consisting of your **global key** as a string value - this is an externally facing ID that must be unique (Labelbox enforces it)\n",
-    "    - If you attempt to upload a data row with an existing global key, it will either auto-generate a suffix such as \"_1\" or it will skip it entirely\n",
+    "- Column consisting of your **global key** as a string value - this is an externally facing ID that must be unique (Labelbox enforces uniqueness).\n",
+    "    - If you attempt to upload a data row with an existing global key, it will either auto-generate a suffix such as \"_1\" or it will skip it entirely.\n",
     "    \n",
-    "**To upload data rows with metadta, your csv must have one column per metadata field name**. Labelpandas matches the column names to Labelbox metadata names when uploading metadata."
+    "**To upload data rows with metadata, your `.csv` must have one column per metadata field name**. LabelPandas matches the column names to Labelbox metadata names when uploading metadata."
    ]
   },
   {
@@ -218,11 +218,11 @@
    "id": "8031341e-b42f-4838-9a8a-ad06271fdcdf",
    "metadata": {},
    "source": [
-    "# Create a `metadata_index`\n",
+    "## Create a `metadata_index`\n",
     "\n",
-    "* Your metadata_index is a dictionary where {key=`column_name` : value=`metadata_field_type`}\n",
+    "* Your `metadata_index` is a dictionary where `{key=column_name : value=metadata_field_type`}\n",
     "    * `column_name` must correspond to Labelbox metadata field names. Labelpandas uses these names to sync data.\n",
-    "    * `metadata_field_type` must be one of the following string values: **\"datetime\" \"enum\" \"string\" \"number\"**"
+    "    * `metadata_field_type` must be one of the following string values: `datetime` | `enum` | `string` | `number`"
    ]
   },
   {
@@ -242,9 +242,9 @@
    "id": "e7e2121e-a3db-4734-b034-77f365a1c20a",
    "metadata": {},
    "source": [
-    "# Get or Create a Labelbox Dataset\n",
+    "## Get or create a Labelbox dataset\n",
     "\n",
-    "* Labelpandas will create data rows for you in existing datasets. If you don't have a dataset, create one."
+    "* LabelPandas will create data rows for you in existing datasets. If you don't have a dataset, create one."
    ]
   },
   {
@@ -274,7 +274,7 @@
    "id": "c6ad8272-1eb2-4ac3-ae44-072c40675646",
    "metadata": {},
    "source": [
-    "# Upload Data Rows from CSV to Labelbox\n",
+    "## Upload Data Rows from CSV to Labelbox\n",
     "\n",
     "**`client.create_data_rows_from_table()`** has the following arguments:\n",
     "```\n",
@@ -288,7 +288,7 @@
     "skip_duplicates :   Optional (bool) - If True, will skip duplicate global_keys, otherwise will generate a unique global_key with a suffix     \n",
     "verbose         :   Optional (bool) - If True, prints information about code execution\n",
     "```\n",
-    "This function will return a list of errors, if any"
+    "This function will return a list of errors, if any."
    ]
   },
   {