vCache/SemBenchmarkCombo

SemBenchmarkCombo Dataset The SemBenchmarkCombo benchmark is designed to evaluate semantic caching strategies for Large Language Model (LLM) inference in real-world scenarios. This dataset combines diverse prompts with their corresponding LLM responses, embeddings, and performance metrics, enabling researchers to benchmark semantic caching algorithms across various use cases. Dataset Construction This benchmark is constructed by combining unique samples from two… See the full description on the dataset page: https://huggingface.co/datasets/vCache/SemBenchmarkCombo.

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