SLATE-PTP: A spine-leaf architecture timestamps and evaluation dataset for IEEE 1588 precision time protocol...

This data article describes SLATE-PTP, a high-fidelity IEEE 1588 telemetry dataset captured within a physical two-Spine four-Leaf datacenter fabric engineered with PTP-unaware switches. The data collection architecture isolates network-induced impairments from local oscillator drift. While a GNSS-disciplined Grandmaster clock provided a physical PPS reference to stabilize the hardware clock of the capturing network interface card, the LinuxPTP (ptp4l) daemon operated in a non-adjusting, free-running state. Consequently, the recorded four-way timestamps ( $t_1$ , $t_2$ , $t_3$ , and $t_4$ ) capture pure network dynamics, including queuing delays, PDV, and structural path asymmetries. To replicate realistic datacenter environments, a hardware traffic generator injected background loads using four distinct packet-size distributions combined with three temporal profiles (constant, stepped, and ramped loads). The dataset comprises structured CSV files containing raw packet telemetry. For reuse potential, the data is coupled with an encapsulated, object-oriented Jupyter Notebook execution pipeline. By leveraging a decoupled interface, this pipeline provides an open-access evaluation sandbox. Researchers can directly ingest these data tracks to train, validate, and benchmark custom statistical packet filters, ML-based delay classifiers, or alternative time offset estimation algorithms without deploying a high-precision physical testbed.