Cainiao-AI/LaDe-D
LaDe is a public last-mile delivery dataset containing millions of parcels from industry. The dataset has three distinctive characteristics: (1) Large scale – it involves 21,000 couriers handling 10,677,000 parcels over six months. (2) Comprehensive information – it provides raw parcel details such as location and time requirements, as well as task event information that records the courier's location and time at task acceptance and completion. (3) Diversity – the dataset includes pick‑up and delivery data from multiple cities, each exhibiting unique spatio‑temporal patterns.
Dataset description and usage context
Dataset Overview
Dataset Name: LaDe
License: Apache-2.0
Tags:
- Spatial-Temporal
- Graph
- Logistic
- Last-mile Delivery
Size Category: 10M < n < 100M
Dataset Features
| Feature Name | Data Type |
|---|---|
| order_id | int64 |
| region_id | int64 |
| city | string |
| courier_id | int64 |
| lng | float64 |
| lat | float64 |
| aoi_id | int64 |
| aoi_type | int64 |
| accept_time | string |
| accept_gps_time | string |
| accept_gps_lng | float64 |
| accept_gps_lat | float64 |
| delivery_time | string |
| delivery_gps_time | string |
| delivery_gps_lng | float64 |
| delivery_gps_lat | float64 |
| ds | int64 |
Dataset Splits
| Split Name | Bytes | Sample Count |
|---|---|---|
| delivery_jl | 5,568,309 | 31,415 |
| delivery_cq | 168,574,531 | 931,351 |
| delivery_yt | 36,796,326 | 206,431 |
| delivery_sh | 267,095,520 | 1,483,864 |
| delivery_hz | 335,088,000 | 1,861,600 |
Download Information
- Download Size: 290,229,555 bytes
- Dataset Size: 813,122,686 bytes
Dataset Description
LaDe is a public last‑mile delivery dataset containing millions of parcels from industry. The dataset has the following characteristics:
- Large Scale: It involves 10,677k parcels and 21k couriers, covering six months of real‑world operation.
- Comprehensive Information: It provides raw parcel details such as location and time requirements, as well as task event information that records the courier's location and time at task acceptance and completion.
- Diversity: The dataset contains data from various scenarios, such as parcel pick‑up and delivery across multiple cities, each with its own unique spatio‑temporal patterns.
Dataset Usage
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