Science & Engineering
CSI-Bench
461 hours of in-the-wild WiFi sensing across 35 users and 26 indoor environments.
7items
7subjects
100%observed
Modelsubject type
Response matrix
Every model, scored item by item.
Each row is an AI model and each column an item, ordered so the strongest models and easiest items gather toward one corner. 7 subjects × 7 items, 100% of cells evaluated.
Fit to width. Hover for subject & item; click a cell for details.
lowhighUnobserved
Scale: 0 to 1 (per metric × split): accuracy or macro-F1 of WiFi-sensing classification; the 4 random seeds are averaged.
Sample items
What the questions look like — and how subjects answer.
A spread of items across the difficulty range. This benchmark does not publish per-answer traces, so each item shows which subjects succeeded.
Subjects
The models, agents, and reward models evaluated.
7 subjects, ranked by mean response across this benchmark's items.
- 1552760e50.781
- 2003521810.777
- 39247369a0.773
- 4361b904b0.768
- 5588e344c0.767
- 63610854d0.763
- 7d4fc12b60.749