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pegasystems · Jun 28, 2024 · ac2104a · ac2104a
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                 "\n",
                 "__2024-06-11__\n",
                 "\n",
-                "Welcome to the Explainability Extract Demo. This notebook is designed to guide you through the analysis of Explainability Extract data using the DecisionData class of pdstools library. At this point, the dataset is particularly targeted on the \"Arbitration\" stage, but we have intentions to widen the data scope in subsequent iterations.\n",
+                "Welcome to the Explainability Extract Demo. This notebook is designed to guide you through the analysis of Explainability Extract v1 dataset using the DecisionData class of pdstools library. At this point, the dataset is particularly targeted on the \"Arbitration\" stage, but we have intentions to widen the data scope in subsequent iterations. This dataset can be extracted from Infinity 24.1 and its preceding versions.\n",
                 "\n",
                 "We developed this notebook with a dual purpose. Firstly, we aim to familiarize you with the various functions and visualizations available in the DecisionData class. You'll learn how to aggregate and visualize data in ways that are meaningful and insightful for your specific use cases.\n",
                 "\n",