parameterlab/c-seo-bench
NeurIPS Datasets & Benchmarks 2025 Dataset Summary C-SEO Bench is a benchmark designed to evaluate conversational search engine optimization (C-SEO) techniques across two common tasks: product recommendation and question answering. Each task spans multiple domains to assess domain-specific effects and generalization ability of C-SEO methods. Supported Tasks and Domains Product Recommendation This task requires an LLM to recommend the top-k… See the full description on the dataset page: https://huggingface.co/datasets/parameterlab/c-seo-bench.
| Author / organization | parameterlab |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 199 (as reported by Hugging Face) |
| Likes | 5 |
| Created | 5 June 2025 |
| Last updated at source | 28 September 2025 |
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- 17 Oct 2026 Description: NeurIPS Datasets & Benchmarks 2025 Dataset Summary C-SEO Bench is a benchmark designed to evaluate conversational search engine optimization (C-SEO) techniques across two common tasks: product recommendation and question answering. Each tas → NeurIPS Datasets & Benchmarks 2025 Dataset Summary C-SEO Bench is a benchmark designed to evaluate conversational search engine optimization (C-SEO) techniques across two common tasks: product recommendation and question answering. Each tas
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