Efficient
Sana-assetssynthesized_datasetefficient-cot
To be written.
efficientnet-v2-l-adv-dataset
Perturb Adversarial Images
Verified adversarial examples for efficientnet_v2_l (torchvision/EfficientNet_V2_L_Weights.IMAGENET1K_V1), produced by the
Perturb network. Each row is one clean image together with all of its
verified adversarial versions: images that are imperceptibly different from the original
(L∞ ≤ 0.03 in [0,1] pixel scale) yet change the model's top-1 prediction.
This dataset grows continuously. New rows are appended as the network produces them and uploaded in… See the full description on the dataset page: https://huggingface.co/datasets/perturb-ai/efficientnet-v2-l-adv-dataset.efficient-agent-experiment-logs
Efficient Agent Experiment Campaigns
This snapshot preserves experiment records and artifacts from the
experiment-campaigns directory of the efficient-agent-research project.
It contains completed, failed, and interrupted runs. A directory or artifact
existing in this snapshot does not imply a valid official evaluation score.
Refer to each run's result and grader report for its status.
Contents
records/*.tar.gz: credential-redacted logs, Agent trajectories, code… See the full description on the dataset page: https://huggingface.co/datasets/VonEquinox/efficient-agent-experiment-logs.SANA-WM-Bench
SANA-WM-Bench
Minimal 80-scene, 60s SANA-WM benchmark release. It contains the 80 conditioning images, fixed public scene set, simple/hard 60s Sana-WM camera trajectories. Scene IDs are anonymized within each category as 001-020. It intentionally excludes 24s settings, non-Sana-WM export formats, baseline outputs, and generated videos.
Image Provenance
All conditioning images in images/ are AI-generated using Google's Nano Banana
(Gemini native image generation).… See the full description on the dataset page: https://huggingface.co/datasets/Efficient-Large-Model/SANA-WM-Bench.