Multi-SpecBench is a multilingual extension of Spec-Bench, spanning 7 languages × 7 task types, for evaluating speculative decoding and other LLM inference-acceleration methods beyond English. It was introduced in AdaSpec: Adaptive Multilingual Speculative Decoding with Self-Synthesized Language-Aware Training and Vocabulary Simplification (Do, Le, and Nguyen; AAAI-26), a framework that combines language-aware drafter training with adaptive vocabulary… See the full description on the dataset page:
https://huggingface.co/datasets/nguyenlab/Multi-SpecBench.