IoT-Brain/TopoSense-Bench
TopoSense-Bench: A Campus-Scale Benchmark for Semantic-Spatial Sensor Scheduling TopoSense-Bench is a large-scale, rigorous benchmark designed to evaluate Large Language Models (LLMs) and agents on the Semantic-Spatial Sensor Scheduling (S³) problem. It features a realistic digital twin of a university campus equipped with 2,510 cameras and contains 5,250 natural language queries grounded in physical topology. This dataset is the official benchmark for the ACM MobiCom 2026… See the full description on the dataset page: https://huggingface.co/datasets/IoT-Brain/TopoSense-Bench.
| Author / organization | IoT-Brain |
|---|---|
| License (as declared) | mit |
| Downloads | 310 (as reported by Hugging Face) |
| Likes | 2 |
| Created | 10 December 2025 |
| Last updated at source | 10 December 2025 |
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- 16 Oct 2026 Description: TopoSense-Bench: A Campus-Scale Benchmark for Semantic-Spatial Sensor Scheduling TopoSense-Bench is a large-scale, rigorous benchmark designed to evaluate Large Language Models (LLMs) and agents on the Semantic-Spatial Sensor Scheduling (S³ → TopoSense-Bench: A Campus-Scale Benchmark for Semantic-Spatial Sensor Scheduling TopoSense-Bench is a large-scale, rigorous benchmark designed to evaluate Large Language Models (LLMs) and agents on the Semantic-Spatial Sensor Scheduling (S³
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