| --- |
| license: cc-by-4.0 |
| pretty_name: Droplet-impact videos for "One Perturbation Is Not Enough" |
| tags: |
| - video |
| - physics |
| - vision-language-models |
| - evaluation |
| --- |
| |
| # Droplet-impact videos |
|
|
| High-speed recordings of liquid droplets falling onto a superhydrophobic |
| surface, used in **"One Perturbation Is Not Enough: Identifiability and Blind |
| Baselines for Behavioral AI Evaluation"** (AAAI-27 Alignment Track) to test |
| whether vision-language models ground a velocity estimate in an in-frame |
| calibration reference. |
|
|
| Code, per-item model outputs and the reconciliation script: |
| **https://github.com/rasulkhanbayov/5-iclr** |
|
|
| ## Layout |
|
|
| ``` |
| raw_videos/ |
| 02182026/ evaluation session (all model experiments) |
| *.mp4 one droplet per recording, 1280x512, ~2996 fps |
| scale v.mp4 static scale-reference (ruler) recording |
| samples.txt sample key (surfactant / concentration codes) |
| 13.5cm_speed/05122026/ (optional) higher-drop session; oracle only |
| derived/ clips rendered from raw_videos/ by the code repo |
| fall_clips/ fall+impact window of each of the 27 evaluated clips |
| trimmed_scale_clips/ 3 s scale-reference clips (base, relabeled, resampled) |
| perturbed_clips/ relabeled scale clips (R_alpha, alpha in {0.5, 2}) |
| resampled_clips/ resampled scale and fall clips (S_s, s in {0.5, 2}) |
| ``` |
|
|
| ## Key facts |
|
|
| - Ruler in session 02182026 is graduated in **1/16 inch (1.5875 mm) per |
| tick**, not 1 mm; see the paper's Appendix B.2. |
| - Ground-truth pre-impact velocities come from a classical CV oracle |
| (background subtraction + free-fall-plateau fit), not a learned model. |
| Per-clip values are in the code repo's `results/e2_selected_clips.json`. |
| - The 27 evaluated clips are every high-confidence oracle track in 02182026. |
|
|
| ## Download |
|
|
| ```bash |
| git clone https://github.com/rasulkhanbayov/5-iclr.git && cd 5-iclr |
| python scripts/download_data.py # derived clips (~150 MB) |
| python scripts/download_data.py --raw # + raw 02182026 session (~4.4 GB) |
| ``` |
|
|
| ## Citation |
|
|
| ```bibtex |
| @inproceedings{khanbayov2027perturbation, |
| title = {One Perturbation Is Not Enough: Identifiability and Blind Baselines for Behavioral AI Evaluation}, |
| author = {Khanbayov, Rasul and Sohail, Mariam and Abdala, Ahmed and Kurban, Hasan}, |
| booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence (Alignment Track)}, |
| year = {2027}, |
| } |
| ``` |
|
|
