Addtional edits.

colabs/artifact_basics/Artifact_Basics.ipynb

@@ -28,7 +28,7 @@
       },
       "source": [
         "\n",
-        "Use [Weights & Biases](https://wandb.com) for machine learning experiment tracking, dataset versioning, and project collaboration.\n",
+        "Use [Weights & Biases](https://wandb.com) for machine learning experiment tracking, dataset and model versioning and management, collaboration and more.\n",
         "\n",
         "<div><img /></div>\n",
         "\n",
@@ -45,7 +45,7 @@
       },
       "source": [
         "\n",
-        "Use W&B Artifacts to track and version data as the inputs and outputs of your W&B Runs. For example, a model training run might take in a dataset as input and trained model as output. In addition to logging hyperparameters and metadata to a run, you can use an artifact to log the dataset used to train the model as input and the resulting model checkpoints as outputs."
+        "Use W&B Artifacts to track and version data as the inputs and outputs of your W&B Runs. For example, a model training run might take in a dataset as input and produce a trained model as output. In addition to logging hyperparameters, metadata, and metrics to a run, you can use an artifact to log the dataset used to train the model as input and the resulting model checkpoints as outputs."
       ]
     },
     {
@@ -63,7 +63,7 @@
         "id": "q2EeMdcpC7Dl"
       },
       "source": [
-        "In order to log data to our web service, you need to log in and import `wandb`. If this is your first time using W&B, you'll need to sign up for a free account at the link that appears."
+        "In order to log to W&B, you will need the `wandb` package installed and imported into your script or notebook. If you are not already authenticated or signed up, a link will appear which you can use to do so."
       ]
     },
     {
@@ -99,10 +99,10 @@
         "\n",
         "1.   Intialize a run.\n",
         "2.   Create an Artifact.\n",
-        "3.   Add a dataset, a model, or another Artifact as an input.\n",
+        "3.   Add a dataset, model, another Artifact or any files or directories to the new Artifact that you want to track and version.\n",
         "4.   Log the artifact in the W&B platform.\n",
         "\n",
-        "This can by accomplished in two lines of code:"
+        "This can by accomplished with a few lines of code:"
       ]
     },
     {
@@ -126,10 +126,10 @@
       "source": [
         "First, initalize the run with [`wandb.init()`](https://docs.wandb.ai/ref/python/init). In this demo, the code adds the run to the `artifact-basic` project, but you can change the name to anyting you'd like.\n",
         "\n",
-        "Next, log the artifact with [`run.log_artifact()`](https://docs.wandb.ai/ref/python/public-api/run#log_artifact). In this demo, the artifact is a `dataset` using data from `mnist_test.csv`. You can customize your artifact with a `name` and other metadata- see the Artifacts Reference guide for more information.\n",
+        "Next, log the Artifact with [`run.log_artifact()`](https://docs.wandb.ai/ref/python/public-api/run#log_artifact). In this demo, the Artifact is a `dataset` using data from `mnist_test.csv`. You can customize your Artifact with a `name` and other metadata- see the Artifacts Reference guide for more information.\n",
         "\n",
         "\n",
-        "If you change or add any parameters names, be sure to replicate those changes in the following code samples as well."
+        "If you change or add any argument names, be sure to replicate those changes in the following code samples as well."
       ]
     },
     {
@@ -147,7 +147,7 @@
         "id": "jZC69sSMdX4j"
       },
       "source": [
-        "When you want to use a specific version of an artifact in a downstream task, you can specify the specific version you would like to use via either `v0`, `v1`, `v2` and so on, or via specific aliases you may have added. The `latest` alias always refers to the most recent version of the artifact logged.\n",
+        "When you want to use a specific version of an Artifact in a downstream task, you can specify the specific version you would like to use via either `v0`, `v1`, `v2` and so on, or via specific aliases you may have added. The `latest` alias always refers to the most recent version of the Artifact logged.\n",
         "\n",
         "The proceeding code snippet specifies an artifact called `my_first_artifact` with the alias `latest`:\n"
       ]
@@ -160,7 +160,7 @@
       },
       "outputs": [],
       "source": [
-        "run = wandb.init(project=\"artifact-basics\")\n",
+        "run = wandb.init(project=\"artifact-basic\")\n",
         "artifact = run.use_artifact(artifact_or_name=\"my_first_artifact:latest\")\n",
         "run.finish()"
       ]
@@ -217,19 +217,24 @@
         "run = wandb.init(project=\"artifact-basics\")\n",
         "artifact = run.use_artifact(\"my_first_artifact:latest\") # selects the artifact you're adding the file to, and makes a new artifact version\n",
         "artifact.add_dir(local_path=\"/content/sample_data\", name=\"new_directory\")\n",
-        "run.log_artifact(artifact, aliases= [\"directory_version\"])\n",
+        "run.log_artifact(artifact, aliases= [\"sorted\",\"cleaned\"])\n",
         "run.finish()"
       ]
     },
     {
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "This adds a new version of `my_first_artifact` with an entire folder with several .csv files. To save your changes, you'll need to [`log`](https://docs.wandb.ai/ref/python/log) or [`save`](https://docs.wandb.ai/ref/python/artifact#save) them. The directory will overwrite the contents of the previous version of the Artifact.\n",
+        "This adds a new version of `my_first_artifact` with an entire folder with several .csv files. To save your changes, you'll need to [`log`](https://docs.wandb.ai/ref/python/log) or [`save`](https://docs.wandb.ai/ref/python/artifact#save) them. The new version will overwrite the contents of the previous version of the Artifact.\n",
         "\n",
-        "The Artifact has also been given a custom `aliases`, a label for this Artifact version. While the `alias` is currently `directory_version`, the default aliases are `v1` and `latest `."
+        "The Artifact has also been given a custom `aliases`, a label for this Artifact version. While the `alias` is currently `staging`, the default aliases is `vN`, where `N` is the number of versions the Artifact has. This increments automatically."
       ]
     },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": []
+    },
     {
       "cell_type": "markdown",
       "metadata": {
@@ -297,7 +302,7 @@
         "# This will download the specified artifact to where your code is running\n",
         "datadir = artifact.download()\n",
         "run.finish()\n",
-        "# Prints the path of the current artifact directory\n",
+        "# prints the path of the current artifact directory\n",
         "print(u'\\u2500' * 10)\n",
         "print(\"Data directory located at:\" + datadir)"
       ]