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## SCASRec: A Self-Correcting and Auto-Stopping Model for Generative List Recommendation
This is an example of our paper dataset, a more comprehensive dataset will be added later.<br>
The following table contains the feature dimensions and key features of our dataset.
| Feature Type | Interpretation | Shape | Some Key Features
| :---- | :---- | :----: | :--- |
| Route Features | Used to describe each route, including static features,<br> dynamic features, and trajectory statistical features | N * 62 | The estimated time of arrival for the route<br>The total distance length of the route |
| Scene Features | Represent the contextual information of route recommendation |1 * 10 | Request time<br>User familiarity with the origin and destination |
| User Historical Seq | A series of route selection records arranged in chronological order |T * 31 | Selected route features<br>Unselected route features | |