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SimpleDataLabsInc · Jan 3, 2025 · 7b9e64f · 7b9e64f
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diff --git a/docs/Spark/gems/_gem-requirements.mdx b/docs/Spark/gems/_gem-requirements.mdx
@@ -25,6 +25,28 @@ export default function Requirements(props) {
           </tr>
         </tbody>
       </table>
+      <table style={{ width: "auto", tableLayout: "auto" }}>
+        <thead>
+          <tr>
+            <th>UC Shared Cluster Version</th>
+            <th>Minimum Package Version</th>
+          </tr>
+        </thead>
+        <tbody>
+          <tr>
+            <td>12.2</td>
+            <td>{props.packageversion12}</td>
+          </tr>
+          <tr>
+            <td>14.3</td>
+            <td>{props.packageversion14}</td>
+          </tr>
+          <tr>
+            <td>15.4</td>
+            <td>{props.packageversion15}</td>
+          </tr>
+        </tbody>
+      </table>
     </div>
   );
 }
diff --git a/...ems/source-target/advanced/synthetic-data-generator/synthetic-data-generator.md b/...ems/source-target/advanced/synthetic-data-generator/synthetic-data-generator.md
@@ -11,6 +11,8 @@ tags:
   - generator
 ---
 
+import Requirements from "../../../\_gem-requirements.mdx"
+
 <h3><span class="badge">Spark Gem</span></h3>
 
 Generate synthetic data with this special kind of Source Gem.
@@ -23,6 +25,16 @@ A wide range of synthetic data can be created using any column name and an array
 
 Follow the steps below to generate your own mock data using the Data Generator Gem.
 
+<Requirements
+  packagename="ProphecySparkBasicsPython"
+  packageversion="0.2.36"
+  scalalib="8.5.0"
+  pythonlib="1.9.24"
+  packageversion122="2.2.2"
+  packageversion143="Not Supported"
+  packageversion154="Not Supported"
+/>
+
 ## Cluster requirements
 
 Create a Fabric and configure the [Job Size](/docs/Spark/fabrics/databricks.md) as below, or log into an existing Spark cluster UI. Here we use Databricks as an example.