diff --git a/github_issue_summarization/Pachyderm_Example/README.md b/github_issue_summarization/Pachyderm_Example/README.md
index b6a0f0b9..3d577ec6 100644
--- a/github_issue_summarization/Pachyderm_Example/README.md
+++ b/github_issue_summarization/Pachyderm_Example/README.md
@@ -42,7 +42,7 @@ If you get stuck on the example, please reach out the community via:
 
 We also include some [resources](#resources) at the bottom of the tutorial, so you can dig in a little deeper.
 
-## 1. Deploy KubeFlow
+## 1. Deploy KubeFlow and setup Ksonnet
 
 The best instructions for deploying KubeFlow live on [KubeFlow.org](https://www.kubeflow.org). Follow the directions listed in the [Getting Started](https://www.kubeflow.org/docs/started/getting-started/) section for the platform of your choice (minikube, microk8s, GKE, etc.).
 
@@ -52,6 +52,33 @@ The best instructions for deploying KubeFlow live on [KubeFlow.org](https://www.
 $ export NAMESPACE=kubeflow
 ```
 
+If you don't already have ksonnet setup on your local machine you'll want to install it via their getting started here: [ksonnet get started](https://ksonnet.io/get-started/)
+
+Next, you'll want to export a few environment variables. You'll need a Github API token and if you don't already have one, you can get one [here](https://github.com/settings/tokens)
+
+```
+$ export NAMESPACE=kubeflow
+$ export USER=<your github user id>
+$ export GITHUB_TOKEN=<your github token>
+$ export APP_NAME=my-kubeflow
+```
+
+Now you're ready to proceed with the ksonnet setup. 
+
+```
+$ ks init ${APP_NAME}
+$ cd ${APP_NAME}
+$ ks env set default --namespace ${NAMESPACE}
+```
+It's recommended to install the core Kubeflow infrastructure, which includes the ability to train models with a TFJob CRD. In addition to that, we are going to go ahead and add in the Pachyderm and Seldon components:
+
+```
+$ ks registry add kubeflow github.com/katacoda/kubeflow-ksonnet/tree/master/kubeflow
+$ ks pkg install kubeflow/core
+$ ks pkg install kubeflow/seldon
+$ ks pkg install kubeflow/pachyderm
+```
+
 ## 2. Deploy Pachyderm and Seldon on top of KubeFlow
 
 We will be using Pachyderm and Seldon for data storage, versioning, pipelining, and serving. We already added these components to our ksonnet app, we just need to deploy/prep them for use. 
@@ -79,6 +106,9 @@ seldon-cluster-manager-7f5ddbcf7d-trvfp     1/1       Running   0          1m
 To deploy Pachyderm, we follow a similar pattern:
 
 ```
+# Setup permissions for GKE. For local deployments just setup with the appropriate user
+kubectl create clusterrolebinding cluster-admin-binding --clusterrole=cluster-admin --user=$(gcloud config get-value account)
+
 # generate the template
 $ ks generate pachyderm pachyderm
 
@@ -101,8 +131,8 @@ And you should be able to communicate with Pachyderm via their CLI `pachctl`:
 ```
 $ pachctl version
 COMPONENT           VERSION
-pachctl             1.7.5
-pachd               1.7.5
+pachctl             1.8.*
+pachd               1.8.*
 ```
 
 ## 3. Create a versioned data repository with the training data set
diff --git a/github_issue_summarization/Pachyderm_Example/build.json b/github_issue_summarization/Pachyderm_Example/build.json
index 05d8f4d6..f64f8326 100644
--- a/github_issue_summarization/Pachyderm_Example/build.json
+++ b/github_issue_summarization/Pachyderm_Example/build.json
@@ -15,13 +15,13 @@
   "input": {
     "cross": [
       {
-        "atom": {
+        "pfs": {
 	  "repo": "train",
 	  "glob": "/"
 	}
       },
       {
-	"atom": {
+	"pfs": {
 	  "repo": "pre_process",
 	  "glob": "/"
 	}