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wty500/ConsumerSimBench

ConsumerSimBench: Can LLMs Think Like Consumers? If an LLM can truly think like a consumer, it should be able to predict what real users would say before a post goes live. LLMs are increasingly used as digital consumers for campaign pretests, product-launch rehearsal, PR risk analysis, and audience simulation. Existing evaluations usually ask for labels, ratings, or broad summaries. ConsumerSimBench asks a sharper question: given a real social-media event, can a model reconstruct… See the full description on the dataset page: https://huggingface.co/datasets/wty500/ConsumerSimBench.

Author / organizationwty500
License (as declared)cc-by-nc-4.0
Downloads216 (as reported by Hugging Face)
Likes1
Created7 May 2026
Last updated at source16 May 2026
benchmarkconsumer-simulationsocial-mediapublic-opinionrednotellm-evaluationopen-ended-generationreaction-reconstruction
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