Datasets:

Anonymous-LaEx
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Anonymous-LaDe

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Last-mile Delivery

Spatial-Temporal

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Anonymous-LaEx commited on Sep 24, 2023

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12669ad

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@@ -17,7 +17,7 @@ Code Link:https://anonymous.4open.science/r/Anonymous-64B3/
 It has three unique characteristics:  (1) Large-scale. It involves 10,677k packages of 21k couriers over 6 months of real-world operation.
 (2) Comprehensive information, it offers original package information, such as its location and time requirements, as well as task-event information, which records when and where the courier is while events such as task-accept and task-finish events happen.
 (3) Diversity: the dataset includes data from various scenarios, such as package pick-up and delivery, and from multiple cities, each with its unique spatio-temporal patterns due to their distinct characteristics such as populations.
-![LaDe.png](./img/LaEx.png)

 It has three unique characteristics:  (1) Large-scale. It involves 10,677k packages of 21k couriers over 6 months of real-world operation.
 (2) Comprehensive information, it offers original package information, such as its location and time requirements, as well as task-event information, which records when and where the courier is while events such as task-accept and task-finish events happen.
 (3) Diversity: the dataset includes data from various scenarios, such as package pick-up and delivery, and from multiple cities, each with its unique spatio-temporal patterns due to their distinct characteristics such as populations.
+![LaEx.png](./img/LaEx.png)