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README.md
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Dataset Download: https://huggingface.co/datasets/Anonymous-
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Code Link:https://anonymous.4open.science/r/Anonymous-64B3/
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# 1 About Dataset
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**
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It has three unique characteristics: (1) Large-scale. It involves 10,677k packages of 21k couriers over 6 months of real-world operation.
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(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.
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(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.
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# 2 Download
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LaDe is composed of two subdatasets: i) [LaDe-D](https://huggingface.co/datasets/Anonymous-LaDe/Anonymous/tree/main/delivery), which comes from the package delivery scenario.
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ii) [LaDe-P](https://huggingface.co/datasets/Anonymous-LaDe/Anonymous/tree/main/pickup), which comes from the package pickup scenario. To facilitate the utilization of the dataset, each sub-dataset is presented in CSV format.
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LaDe can be used for research purposes. Before you download the dataset, please read these terms. And [Code link](https://anonymous.4open.science/r/Anonymous-64B3/). Then put the data into "./data/raw/".
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The structure of "./data/raw/" should be like:
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```
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* ./data/raw/
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# 3 Description
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Below is the detailed field of each sub-dataset.
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## 3.1 LaDe-P
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| Data field | Description | Unit/format |
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|----------------------------|----------------------------------------------|--------------|
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| **Package information** | | |
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| ds | The date of the package pickup | Date |
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## 3.2 LaDe-D
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| Data field | Description | Unit/format |
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|-----------------------|--------------------------------------|---------------|
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| **Package information** | | |
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