The FineServe dataset captures fine-grained, multi-model serving dynamics from a global commercial marketplace. It replaces coarse proxy traces with actual arrival patterns and token distributions across diverse tasks. This data allows systems engineers to optimize throughput and latency for volatile, real-world demand. The study provides a necessary baseline for building more efficient inference infrastructure.