ruiai-work/LLMADBENCH

LLMAdBench: A Human Preference Benchmark for Advertising in LLM Responses LLMAdBench is a controlled, human-annotated benchmark for studying where advertisements should be placed in LLM-generated responses. Given a user conversation, a base response, and a matched advertisement, the benchmark compares response pairs that differ in advertisement placement while holding the underlying conversation, answer, advertised entity, core advertising message, and disclosure condition… See the full description on the dataset page: https://huggingface.co/datasets/ruiai-work/LLMADBENCH.

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