Artifacts

Managing Artifacts in Data Science Lab

Overview

Artifacts in Data Science Lab (DSLab) allow users to save datasets and plots generated in a notebook. Artifacts provide a way to preserve and visualize outputs, share results, and integrate them into downstream workflows.

Note: Artifacts can be downloaded and previewed within the notebook for quick analysis.

---

Saving Artifacts Using a DS Notebook

Navigation path: Data Science Lab > Workspace > Repo Folder > Notebook > Artifacts

Steps to Save an Artifact

1. Open a Data Science Notebook (.ipynb file).

2. Add a new code cell.

3. Provide a dataset and define a DataFrame.

4. Execute the cell to generate the data or plot.

5. Add another code cell below the executed cell.

6. Click the Ellipsis (three-dot) icon to access additional options.

7. Select Save Artifacts.

8. Provide the following information:

   • DataFrame Name: Name of the dataset or plot.

   • Artifact Name: Include file extension (.csv, .txt, .json) as appropriate.

9. Execute the cell.

10. The artifact is saved and listed under the Artifacts tab.

Note:

• Saved artifacts can be downloaded for external use.

• Artifacts provide instant visualizations based on executed notebook scripts.

Previewing Artifacts

Navigation path: Data Science Lab > Workspace > Artifacts Tab > Saved Artifact

1. Open the Artifacts tab in the workspace.

2. Select the saved artifact from the left-side panel.

3. Click the vertical ellipsis (three-dot) icon for the selected artifact.

4. From the context menu, select Preview.

5. The artifact preview is displayed for visual inspection.

Note: Artifacts can be deleted from the list by selecting the Delete option in the same context menu.

Key Points

• Artifacts preserve datasets and visual outputs for reproducibility and collaboration.

• Supports multiple file formats, including .csv, .txt, and .json.

• Integrated preview enables quick validation and inspection of saved results.