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  license: apache-2.0
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  ---
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- # 1 About Dataset
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  **LaDe** is a publicly available last-mile delivery dataset with millions of packages from industry.
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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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  If you use this dataset for your research, please cite this paper: {xxx}
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- # 2 Download
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  LaDe is composed of two subdatasets: i) [LaDe-D](https://huggingface.co/datasets/Cainiao-AI/LaDe-D), which comes from the package delivery scenario.
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  ii) [LaDe-P](https://huggingface.co/datasets/Cainiao-AI/LaDe-P), 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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  Each sub-dataset contains 5 csv files, with each representing the data from a specific city.
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  Below is the detailed field of each sub-dataset.
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- # 3 Description
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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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  | ds | The date of the package delivery | Date |
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- # 4 Leaderboard
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  ## 4.1 Route Prediction
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  | Method | HR@3 | KRC | LSD | ED |
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  |--------------|----------------|----------------|----------------|----------------|
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- # 5 Citation
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  To cite this repository:
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  ```shell
 
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  ---
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  license: apache-2.0
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  ---
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+ # 1. About Dataset
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  **LaDe** is a publicly available last-mile delivery dataset with millions of packages from industry.
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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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  If you use this dataset for your research, please cite this paper: {xxx}
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+ # 2. Download
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  LaDe is composed of two subdatasets: i) [LaDe-D](https://huggingface.co/datasets/Cainiao-AI/LaDe-D), which comes from the package delivery scenario.
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  ii) [LaDe-P](https://huggingface.co/datasets/Cainiao-AI/LaDe-P), 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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  Each sub-dataset contains 5 csv files, with each representing the data from a specific city.
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  Below is the detailed field of each sub-dataset.
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+ # 3. Description
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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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  | ds | The date of the package delivery | Date |
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+ # 4. Leaderboard
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  ## 4.1 Route Prediction
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  | Method | HR@3 | KRC | LSD | ED |
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  |--------------|----------------|----------------|----------------|----------------|
 
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+ # 5. Citation
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  To cite this repository:
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  ```shell