anasnassar/llm-query-complexity-benchmark
LLM Query Complexity Benchmark A multi-domain, perfectly balanced dataset of 6,000 labeled queries (4,800 train / 1,200 test) for training and evaluating LLM query complexity classifiers that route queries to the most cost-effective inference tier. Built for the STREAM project (Smart Tiered Routing Engine for AI Models), which routes queries automatically between local CPU models, institutional HPC GPU clusters, and cloud API tiers. Dataset Summary Split… See the full description on the dataset page: https://huggingface.co/datasets/anasnassar/llm-query-complexity-benchmark.
| Author / organization | anasnassar |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 139 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 17 May 2026 |
| Last updated at source | 20 May 2026 |
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Recent changes
- 16 Oct 2026 Description: LLM Query Complexity Benchmark A multi-domain, perfectly balanced dataset of 6,000 labeled queries (4,800 train / 1,200 test) for training and evaluating LLM query complexity classifiers that route queries to the most cost-effective inferen → LLM Query Complexity Benchmark A multi-domain, perfectly balanced dataset of 6,000 labeled queries (4,800 train / 1,200 test) for training and evaluating LLM query complexity classifiers that route queries to the most cost-effective inferen
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