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Uploading the Data

In this example, we're going to upload two versions of a Q&A RAG pipeline for questions about GVHD. The second version, v2_improved_IR, will contain questions in both Evaluation and Production environments.
Uploading data to the Deepchecks system can be done either via the SDK or via the UI. Both options are explained below.

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Download the Demo Data

Click here to download the two datasets used in this example.

Use Deepchecks' Python SDK (Option 1)

Click the badge below to open the Google Colab, set in your API token (see below), add to the colab the files you've downloaded, and you're ready to go!

Or Click Here to Download the Notebook locally.

Get your API key from the user menu in the app:

If running locally, we recommend the best practice of using a python virtual environment to install the Deepchecks client SDK.

Or: Use the Deepchecks' UI (Option 2)

  1. Click the Upload Data button on the sidebar

  2. Create a New Application, name it "GVHD", Application Type is "QA", and a New Version named "v1_gpt3.5".

  3. Upload the v1_gpt35.csv to the Evaluation environment.

  4. Add a New Version, and name it v2_improved_IR. Upload the second CSV (v2_improved_IR) to the Evaluation environment of the new version.

  5. Processed to upload the v2_production CSV to the Production environment of the second version.


Data Upload Completed!

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Success, the GHVD Application is now in the Deepchecks App

You should now see it in the applications dropdown on all screens, and in the "Applications" page:

Next steps: Check out Exploring the System for a few recommendations on how to analyze and evaluate the GVHD use case via the Deepchecks' platform.

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Note: Data Processing status

  • Some properties take a few minutes to calculate, so some of the data - such as properties and estimated annotations will be updated over time.
  • You'll see a ✅ Completed Processing Status in the Applications page, when processing is finished.
  • Note that you can subscribe to email notifications in the "Workspace Settings", and/or use the SDK to download the results upon completion.