Merge branch 'main' into zetia/check-arc-cluster

.github/CODEOWNERS

@@ -183,6 +183,8 @@ sdk/python/foundation-models/cohere/command_tools-langchain.ipynb @stewart-co @k
 /cli/jobs/single-step/r/iris/job.yml @sdgilley @msakande @Blackmist @ssalgadodev @lgayhardt @fbsolo-ms1  
 /cli/jobs/single-step/scikit-learn/iris/job-sweep.yml @sdgilley @msakande @Blackmist @ssalgadodev @lgayhardt @fbsolo-ms1  
 /cli/jobs/single-step/scikit-learn/iris/job.yml @sdgilley @msakande @Blackmist @ssalgadodev @lgayhardt @fbsolo-ms1  
+/cli/jobs/single-step/tensorflow/mnist-distributed-horovod/job.yml @sdgilley @msakande @Blackmist @ssalgadodev @lgayhardt @fbsolo-ms1  
+/cli/jobs/single-step/tensorflow/mnist-distributed/job.yml @sdgilley @msakande @Blackmist @ssalgadodev @lgayhardt @fbsolo-ms1  
 /cli/jobs/spark/attached-spark-pipeline-user-identity.yml @sdgilley @msakande @Blackmist @ssalgadodev @lgayhardt @fbsolo-ms1  
 /cli/jobs/spark/attached-spark-standalone-managed-identity.yml @sdgilley @msakande @Blackmist @ssalgadodev @lgayhardt @fbsolo-ms1  
 /cli/jobs/spark/serverless-spark-standalone-user-identity.yaml @sdgilley @msakande @Blackmist @ssalgadodev @lgayhardt @fbsolo-ms1  
@@ -241,5 +243,6 @@ sdk/python/foundation-models/cohere/command_tools-langchain.ipynb @stewart-co @k
 /setup/setup-ci/install-pip-package.sh @sdgilley @msakande @Blackmist @ssalgadodev @lgayhardt @fbsolo-ms1  
 /setup/setup-repo/azure-github.sh @sdgilley @msakande @Blackmist @ssalgadodev @lgayhardt @fbsolo-ms1  
 /tutorials/get-started-notebooks/workstation_env.yml @sdgilley @msakande @Blackmist @ssalgadodev @lgayhardt @fbsolo-ms1  
+
 
 # End of docs files ########################################################################################################

sdk/python/responsible-ai/text/responsibleaidashboard-text-classification-blbooksgenre.ipynb

@@ -88,7 +88,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "rai_example_version_string = \"32\""
+    "rai_example_version_string = \"34\""
    ]
   },
   {
@@ -128,7 +128,9 @@
    "source": [
     "def load_dataset(split):\n",
     "    config_kwargs = {\"name\": \"title_genre_classifiction\"}\n",
-    "    dataset = datasets.load_dataset(\"blbooksgenre\", split=split, **config_kwargs)\n",
+    "    dataset = datasets.load_dataset(\n",
+    "        \"blbooksgenre\", split=split, trust_remote_code=True, **config_kwargs\n",
+    "    )\n",
     "    return pd.DataFrame({\"text\": dataset[\"title\"], \"label\": dataset[\"label\"]})\n",
     "\n",
     "\n",