Datasets:
Resident Evil 4 Path Tracing Telemetry: The SNN Heartbeat
Overview
This directory contains RE4_path_tracing_telemetry.csv, the foundational bare-metal hardware dataset that inspired the thermal and fatigue equations for the Metis SNN architecture.
It contains high-resolution timestamped polling of GPU/CPU temperatures and power package wattage.
The Origin Story: Gaming as a Biological Baseline
Early iterations of this Spiking Neural Network (SNN) attempted to use telemetry from crypto-mining nodes, High-Frequency Trading (HFT) bots, and sync node data to train the spike data conversion. However, it was hard to accurately capture the correct telemetry data, which frequently returned dead zeros after being used for training, failing to create a dynamic "heartbeat. Where as gaming already has well established proven telemetry data that can be accurately captured and used for training"
The breakthrough occurred during a heavy hardware stress test on the Ship of Theseus workstation. Running Cyberpunk 2077 and the Resident Evil 4 Remake with heavy modifications (path tracing, DLSS 4.0) pushed the workstation much harder and louder than crypto mining ever did.
This sparked the core hypothesis: What if we recorded extreme gaming telemetry data for neuromorphic spike data conversion?
By capturing the volatile, intense hardware stress of the RE4 Remake, we established an "artificial heartbeat" for the AI. This specific gaming telemetry helped shape the early thermal equations that fed into the SAAQ (Sparse Activity-Aware Quantization) routing mechanics, proving that dynamic hardware stress is a superior baseline for biological fatigue models compared to static compute loads.
Data Structure
The CSV contains the following raw metrics, pulled directly from the RTX 5080 and Ryzen 9950X sensors during heavy path-tracing loads:
timestamp_ms: Millisecond-precision system clock.gpu_temp_c: GPU core temperature (Celsius).gpu_power_w: Total GPU package power draw (Watts).cpu_tctl_c: CPU die temperature (Celsius).cpu_package_power_w: Total CPU package power draw (Watts).
Role in Metis SNN
This dataset is kept as a permanent forensic record. These specific power and thermal fluctuations were used to derive the biological fatigue limits (elapsed_us resistance) governing the network's tick_gpu_temporal loops inside the corinth-canal Rust/CUDA engine.