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Including example data generated by Seed2Scale, all trajectory data is generated by a single workstation within 24 hours, which can be used to evaluate the performance and accuracy of Seed2Scale. We also provide a visual physical playback tool to facilitate viewing the actual effect of automatically generated trajectories. The hardware information based on which this dataset is generated is as follows:
Hardware Configuration
| Component | Model | Quantity |
|---|---|---|
| CPU | AMD Ryzen Threadripper PRO 7975WX32C64T 4.0–5.3 GHz | 1 |
| Motherboard | ASUS Pro WS WRX90E-SAGE SE Workstation Motherboard | 1 |
| Memory | Samsung 64GB DDR5 RECC 4800 | 4 |
| Graphics Card | Inno3D RTX 5090D V2 24G Triple-Fan Graphics Card | 4 |
| SSD | ZhiTai TI600 2TB NVMe M.2 SSD PCIe 4.0 | 1 |
| RAID Controller | ASUS PIKE II 3108-8i 240PD 2G RAID Controller (Supports RAID 0/1/5/6/10/50/60) | 1 |
| CPU Cooler | AMD SP6 360 All-in-One Liquid CPU Cooler | 1 |
| Power Supply | Great Wall 2400W Platinum 80PLUS Full Modular Power Supply (Dual PSU Coupling) | 2 |
| Case | Dual-Tower Workstation Case | 1 |
The specific output data scale and full distribution accuracy statistics are as follows：
Task Details
| Item | Description / Value |
|---|---|
| Time Duration | 24 hours |
| Task | Task1_Kitchen_Cleanup |
| Data Scale | 20,000 trajectories |
| Data Duration | 60 hours |
| Data Size | 300 GB |
| Full Distribution Accuracy | 99.68% |
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