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@@ -44,7 +44,7 @@ import {YOUR_LAMBDATEST_USERNAME, YOUR_LAMBDATEST_ACCESS_KEY} from "@site/src/co
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Datasets in KaneAI-LambdaTest allow you to manage and reuse input values for test cases efficiently. This guide explains how to create, edit, and manage these data sets while utilizing parameters to run test cases with a variety of inputs, improving flexibility and reducing manual data entry.
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## Step 1: Accessing Parameters and Datasets
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## Accessing Datasets within a Project
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Navigate to the Parameters section within your project and review existing data sets under this section.
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> **Note :** Parameters act as placeholders for data, enabling test cases to use varying inputs.
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To create a dataset, navigate to the Datasets section, click "Create Dataset," and define parameters and values as needed. For existing datasets, access the version history of a default dataset, create a copy, and edit the copied dataset to update or add values seamlessly.
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## Creating and Editing Datasets
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- To create a dataset, navigate to the Datasets section, click "Create Dataset," and define parameters and values as needed.
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- For existing datasets, access the version history of a default dataset, create a copy, and edit the copied dataset to update or add values seamlessly.
Prepare your data set in CSV format. Use the Import Data feature in the data set editor and verify imported data and save the test case to ensure synchronization.
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