# Step 5: Querying the dataset

1\. Let's try a quick Natural Language Query to level set. Click **Build your own query** on the lower right.

![](https://2685712648-files.gitbook.io/~/files/v0/b/gitbook-legacy-files/o/assets%2F-Lmgi0cR0cGOtuAlwGy-%2F-LmwI0pE10Yt4gXF1Et6%2F-LmwIHKKc3LdJ_EQdh3F%2Fimage.png?alt=media\&token=2dc66a37-1630-4cf6-8a83-3876253ad829)

2\. On the **Build queries** screen, click on **Search for documents**, then **Use natural language**. Enter `IBM` and click the **Run query** button. Click the **JSON** tab on the right. The result is not as precise as it could be, so let's improve it with Smart Document Understanding.

![Build queries](https://2685712648-files.gitbook.io/~/files/v0/b/gitbook-legacy-files/o/assets%2F-Lmgi0cR0cGOtuAlwGy-%2F-LmwOtoo68-sg3PJrR3c%2F-LmwP5ZcSJk7gha3Lhgl%2Fimage.png?alt=media\&token=df2af964-28ed-45f7-bdbe-ad3473495eb7)
