made minor fixes to two notebooks: cut out duplicate cells, fixed dataset to new_dataset in create section so user can easily see where the created data row lands

Author: ezekielemerson

examples/basics/datasets.ipynb

@@ -2,18 +2,15 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "db768cda",
-   "metadata": {},
    "source": [
     "<td>\n",
     "   <a target=\"_blank\" href=\"https://labelbox.com\" ><img src=\"https://labelbox.com/blog/content/images/2021/02/logo-v4.svg\" width=256/></a>\n",
     "</td>"
-   ]
+   ],
+   "metadata": {}
   },
   {
    "cell_type": "markdown",
-   "id": "cb5611d0",
-   "metadata": {},
    "source": [
     "<td>\n",
     "<a href=\"https://colab.research.google.com/github/Labelbox/labelbox-python/blob/develop/examples/basics/datasets.ipynb\" target=\"_blank\"><img\n",
@@ -24,271 +21,196 @@
     "<a href=\"https://github.com/Labelbox/labelbox-python/tree/develop/examples/basics/datasets.ipynb\" target=\"_blank\"><img\n",
     "src=\"https://img.shields.io/badge/GitHub-100000?logo=github&logoColor=white\" alt=\"GitHub\"></a>\n",
     "</td>"
-   ]
+   ],
+   "metadata": {}
   },
   {
    "cell_type": "markdown",
-   "id": "settled-lodging",
-   "metadata": {},
    "source": [
     "# Datasets"
-   ]
+   ],
+   "metadata": {}
   },
   {
    "cell_type": "markdown",
-   "id": "demanding-charge",
-   "metadata": {},
    "source": [
     "* Datasets are collections of data rows (image, video, or text to be labeled)\n",
     "* Datasets are used to define units of work.\n",
     "    * Attaching a dataset to a project will add all data rows in the dataset to the project (and add them to the queue)\n",
     "* Datasets are not required to be fixed in size (you can add data rows at any time). \n",
     "    * However, if you add data rows to a dataset, all projects associated with this dataset will add the new data rows to its queue"
-   ]
+   ],
+   "metadata": {}
   },
   {
    "cell_type": "code",
    "execution_count": 1,
-   "id": "attached-ticket",
-   "metadata": {},
-   "outputs": [],
    "source": [
     "!pip install labelbox"
-   ]
+   ],
+   "outputs": [],
+   "metadata": {}
   },
   {
    "cell_type": "code",
    "execution_count": 2,
-   "id": "educational-locking",
-   "metadata": {},
-   "outputs": [],
    "source": [
     "from labelbox import Client\n",
     "import uuid\n",
     "import os"
-   ]
+   ],
+   "outputs": [],
+   "metadata": {}
   },
   {
    "cell_type": "markdown",
-   "id": "geological-clear",
-   "metadata": {},
    "source": [
     "* Set the following cell with your data to run this notebook"
-   ]
+   ],
+   "metadata": {}
   },
   {
    "cell_type": "code",
    "execution_count": 4,
-   "id": "looking-airport",
-   "metadata": {},
-   "outputs": [],
    "source": [
     "# Pick a dataset that has attached data_rows\n",
     "DATASET_ID = \"ckm4xyfua04cf0z7a3wz58kgj\""
-   ]
+   ],
+   "outputs": [],
+   "metadata": {}
   },
   {
    "cell_type": "markdown",
-   "id": "1a0b4115",
-   "metadata": {},
    "source": [
     "# API Key and Client\n",
     "Provide a valid api key below in order to properly connect to the Labelbox Client."
-   ]
+   ],
+   "metadata": {}
   },
   {
    "cell_type": "code",
    "execution_count": 5,
-   "id": "retained-illustration",
-   "metadata": {},
-   "outputs": [],
    "source": [
     "# Add your api key\n",
     "API_KEY = None\n",
     "client = Client(api_key=API_KEY)"
-   ]
+   ],
+   "outputs": [],
+   "metadata": {}
   },
   {
    "cell_type": "markdown",
-   "id": "explicit-thunder",
-   "metadata": {},
    "source": [
     "### Read"
-   ]
+   ],
+   "metadata": {}
   },
   {
    "cell_type": "code",
    "execution_count": 6,
-   "id": "inclusive-herald",
-   "metadata": {},
-   "outputs": [],
    "source": [
     "# Can be fetched by name (using a query - see basics), or using an id directly\n",
     "dataset = client.get_dataset(DATASET_ID)"
-   ]
+   ],
+   "outputs": [],
+   "metadata": {}
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
-   "id": "increased-joshua",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "<Dataset {'created_at': datetime.datetime(2021, 3, 11, 14, 3, 12, tzinfo=datetime.timezone.utc), 'description': '', 'name': 'animal_demo_ds', 'uid': 'ckm4xyfua04cf0z7a3wz58kgj', 'updated_at': datetime.datetime(2021, 3, 11, 14, 3, 12, tzinfo=datetime.timezone.utc)}>\n"
-     ]
-    }
-   ],
+   "execution_count": null,
    "source": [
     "print(dataset)"
-   ]
+   ],
+   "outputs": [],
+   "metadata": {}
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
-   "id": "thermal-making",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<DataRow ID: ckm4y6s531rnq0rb6bobqa6j7>"
-      ]
-     },
-     "execution_count": 27,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "execution_count": null,
    "source": [
     "# We can see the data rows associated with a dataset\n",
     "data_rows = dataset.data_rows()\n",
-    "next(data_rows)  # Print first one"
-   ]
+    "next(data_rows)  # Print first data row"
+   ],
+   "outputs": [],
+   "metadata": {}
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
-   "id": "cellular-rhythm",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Projects with this dataset attached : [<Project ID: ckm4xyfncfgja0760vpfdxoro>]\n",
-      "Dataset name : animal_demo_ds\n"
-     ]
-    }
-   ],
+   "execution_count": null,
    "source": [
     "# Attached projects\n",
     "print(\"Projects with this dataset attached :\", list(dataset.projects()))\n",
     "print(\"Dataset name :\", dataset.name)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "id": "liquid-stocks",
-   "metadata": {},
+   ],
    "outputs": [],
-   "source": [
-    "# A dataset is the way to list all data rows\n",
-    "data_row = next(dataset.data_rows())"
-   ]
+   "metadata": {}
   },
   {
    "cell_type": "markdown",
-   "id": "sonic-classic",
-   "metadata": {},
    "source": [
     "### Create"
-   ]
+   ],
+   "metadata": {}
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
-   "id": "valuable-bench",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "<Dataset {'created_at': datetime.datetime(2021, 3, 17, 11, 11, 7, tzinfo=datetime.timezone.utc), 'description': '', 'name': 'my_new_dataset', 'uid': 'ckmdcg8lf04px0y9ge67bbxa5', 'updated_at': datetime.datetime(2021, 3, 17, 11, 11, 7, tzinfo=datetime.timezone.utc)}>\n"
-     ]
-    }
-   ],
+   "execution_count": null,
    "source": [
     "new_dataset = client.create_dataset(name=\"my_new_dataset\")\n",
     "print(new_dataset)"
-   ]
+   ],
+   "outputs": [],
+   "metadata": {}
   },
   {
    "cell_type": "markdown",
-   "id": "humanitarian-response",
-   "metadata": {},
    "source": [
     "* Add data rows\n",
-    "* See the [data rows](https://colab.research.google.com/github/Labelbox/labelbox-python/blob/develop/examples/basics/data_rows.ipynb#scrollTo=successful-patch) notebook for more about adding data rows"
-   ]
+    "* See the [data rows](https://colab.research.google.com/github/Labelbox/labelbox-python/blob/develop/examples/basics/data_rows.ipynb#scrollTo=successful-patch) notebook `Create` section for more about adding data rows."
+   ],
+   "metadata": {}
   },
   {
    "cell_type": "code",
    "execution_count": 12,
-   "id": "egyptian-qatar",
-   "metadata": {},
-   "outputs": [],
    "source": [
-    "dataset.create_data_row(row_data=\"https://picsum.photos/200/300\")"
-   ]
+    "new_dataset.create_data_row(row_data=\"https://picsum.photos/200/300\")"
+   ],
+   "outputs": [],
+   "metadata": {}
   },
   {
    "cell_type": "markdown",
-   "id": "varying-louisville",
-   "metadata": {},
    "source": [
     "### Update"
-   ]
+   ],
+   "metadata": {}
   },
   {
    "cell_type": "code",
    "execution_count": 13,
-   "id": "clinical-parks",
-   "metadata": {},
-   "outputs": [],
    "source": [
     "new_dataset.update(name=\"new_name\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "outdoor-projector",
-   "metadata": {},
-   "source": [
-    "* See the data rows notebook `Create` section on how to add data_rows to a dataset."
-   ]
+   ],
+   "outputs": [],
+   "metadata": {}
   },
   {
    "cell_type": "markdown",
-   "id": "caroline-therapist",
-   "metadata": {},
    "source": [
     "### Delete"
-   ]
+   ],
+   "metadata": {}
   },
   {
    "cell_type": "code",
    "execution_count": 14,
-   "id": "increased-grenada",
-   "metadata": {},
-   "outputs": [],
    "source": [
     "new_dataset.delete()"
-   ]
+   ],
+   "outputs": [],
+   "metadata": {}
   }
  ],
  "metadata": {
@@ -312,4 +234,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 5
-}
+}