datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
epoche-shortcut-experiment
Epoche: teaching one model to bracket a shortcut prior
A small, fully reproducible experiment on shortcut learning: a two-path classifier
learns handwritten digits while a color prior is made correct in 99% of training
examples. We then test whether the same model can be trained to temporarily "bracket"
(switch off) that prior and fall back to evidence-only inference — an idea borrowed,
loosely, from Husserl's epoche (ἐποχή, "suspension").
This repository contains the code… See the full description on the dataset page: https://huggingface.co/datasets/webzuweb/epoche-shortcut-experiment.2026.mechaptcha.linear-probe-experiments-giant-20260525
siddharthmb/2026.mechaptcha.linear-probe-experiments-giant-20260525
Paired CAPTCHA image experiments for linear probes over a trained Mechaptcha CNN.
Each example contains a matched image_a and image_b pair generated from the same seed pool.
Intended Use
This dataset is designed for linear probe experiments that compare activations from Batch A against Batch B.
Use label 1 for image_a and label 0 for image_b.
Recommended checkpoint:… See the full description on the dataset page: https://huggingface.co/datasets/siddharthmb/2026.mechaptcha.linear-probe-experiments-giant-20260525.aigc-security-iddm-anime-experiment
AIGC Security Experiment Materials
This repository contains public report materials for a course experiment on AIGC synthetic image detection and black-box evasion attacks.
The experiment uses an IDDM diffusion model trained on anime face images to generate synthetic images, evaluates a real-vs-synthetic detector, and compares traditional post-processing attacks with black-box pixel-level attacks.
Public Release Scope
Included:
1000 IDDM-generated anime face… See the full description on the dataset page: https://huggingface.co/datasets/hhunugryy/aigc-security-iddm-anime-experiment.Experiment-SLAM-6c-custom-training-dataTemporary ad-hoc dataset for use in private training experiment.
Experiment-Design-Sketch-Image-Classification-Dataset
Experiment Design Sketch Image Classification Dataset
In the field of industrial manufacturing, the design process often relies on a large number of design sketches that need to be quickly converted into actual engineering designs during the subsequent manufacturing stages. However, manually processing these sketches is often time-consuming and prone to errors, currently relying mainly on manual labeling and conversion by designers, which is inefficient and unstable. Existing… See the full description on the dataset page: https://huggingface.co/datasets/Mobiusi/Experiment-Design-Sketch-Image-Classification-Dataset.NAG-MEQD-Experiment-Data
NAG-ME-QD Experiment Data
Trained model weights, elite archive, and full experiment results from the Neural-Architecture-Generation-using-MAP-Elites-Quality-Diversity research project.
Code repository: github.com/[Nozomi1856]/Neural-Architecture-Generation-using-MAP-Elites-Quality-DiversityAuthor: Pratheeksha Aravind
Experiment configuration
Setting
Value
Dataset
CIFAR-10
MAP-Elites iterations
20
Initial population
10
Evaluation mode
Zero-shot… See the full description on the dataset page: https://huggingface.co/datasets/Nozomi1856/NAG-MEQD-Experiment-Data.