datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ARES-Bench
ARES-Bench
ARES-Bench is the open audit substrate released with the paper
Auditing LLM User Simulators for Recommender A/B Testing (NeurIPS 2026, ED
Track, under review). It turns the ARES reliability-audit view — the LLM
backbone is the measurement instrument under test, not an interchangeable
implementation detail — into a reproducible protocol over structured
behavioral logs, a portable visual sandbox, and a screenshot cache.
This release hosts the 17,000-session core corpus that… See the full description on the dataset page: https://huggingface.co/datasets/neurips2026-ares-authors/ARES-Bench.image-authenticity-battle
Image Authenticity Battle Dataset
This dataset contains real and synthetic/tampered images for human perception studies on AI-generated content detection.
Dataset Structure
Total Images: 19500
Categories: Real, Synthetic (Fully AI-generated), Tampered (AI-edited)
Models: Nano Banana, Qwen, Flux, SD3
Metadata Fields
Each image has the following metadata:
filename: Path to image file
dataset: Source dataset name
category: real/synthetic/tampered… See the full description on the dataset page: https://huggingface.co/datasets/TheGarlic/image-authenticity-battle.pokemon_card_image_for_authenticity_classification
Pokemon Card Image for Authenticity Classification
This dataset contains front/back images of Pokemon cards for authenticity experiments.
Dataset structure
Images/: all image files (.jpeg)
Images/metadata.jsonl: metadata used by Hugging Face imagefolder
labels.csv: flat label file with the same rows as metadata
Columns
image: image object loaded from file
id: image filename (unique id)
side: card side (0 = front, 1 = back)
labels: authenticity label (1 =… See the full description on the dataset page: https://huggingface.co/datasets/stevelohwc/pokemon_card_image_for_authenticity_classification.egyptian-customs-authority
Egyptian Customs Authority Laws
Raw laws are downloaded from Egyptian Customs Authority. It is unprocessed and in PDF format.
CutleryArrangementAnon-CounterFactual-Dataset
Anon Counterfactual Dataset
Dataset repo: https://huggingface.co/datasets/dataset-author-404/Anon-CounterFactual-Dataset
Synthetic CLEVR-style 3D scenes with original, semantic counterfactual, and negative (artifact) PNG renders, plus VQA-style questions, difficulties, and a 3×3 answer matrix. Built from the MMB counterfactual pipeline run folder dataset_720p_v2 (see build_hub_dataset.py in this repo snapshot).
This revision replaces the previous Hub layout (legacy imagefolder /… See the full description on the dataset page: https://huggingface.co/datasets/dataset-author-404/Anon-CounterFactual-Dataset.egyptian-tax-authority
Egyptian Tax Authority Laws
Raw laws are downloaded from Egyptian Tax Authority. It is unprocessed and in PDF format.
C2PA_Certified_Image_Authenticity
C2PA_Certified_Image_Authenticity
Description
This dataset is an exploratory collaboration between TrustMyContent and UncovAI.
This dataset contains a collection of images verified and signed using C2PA technology. Each image includes metadata specifying whether it was generated by artificial intelligence or captured/edited by a human. The goal of this dataset is to provide a reliable source of authenticated images for AI training or research and development of detection… See the full description on the dataset page: https://huggingface.co/datasets/TrustMyContent/C2PA_Certified_Image_Authenticity.AuthenLoRA_DatasetOfficial Model Repository for Paper AuthenLoRA: Entangling Stylization with Imperceptible Watermarks for Copyright-Secure LoRA Adapters
You can find the Pytorch implementation in Github and model weights in Huggingface
Method
In this work, we propose AuthenLoRA, a novel watermarking method that effectively protects the copyright of LoRA models by embedding imperceptible watermarks during the generation of stylized images.
We jointly optimize style transfer and watermark embedding… See the full description on the dataset page: https://huggingface.co/datasets/shifangming0823/AuthenLoRA_Dataset.recod-authenticauthentiface_v2.0rich-cell-xss-probe-0910
Controlled rich-cell rendering probe
All payloads are inert marker strings used on researcher-owned accounts.
VQA-Marsouuu-central-banks-and-monetary-authorities-reports-clean
Description
Clean version of central-banks-and-monetary-authorities-reports.
small-stock-image-captionsTempered_and_Authenticdrug-registration-authorization
Drug Registration & Market Authorization (Timelines, Approval, Dossier Quality) | Africa (Electric Sheep Africa metadata inventory)
Size category: 10K<n<100K - Formats: csv - Sector: health - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/drug-registration-authorization.HCIS-CutleryArrangement-TaskHCIS-Cutlery-V1nike-shoes-authenticityVanGogh_BandagedEar_KunsthausZurich_AI_Forensic_AuthenticityDataset
Van Gogh: Bandaged Ear (Kunsthaus Zürich) — Independent AI Torque Analysis
This dataset presents an AI-based forensic motion analysis of the painting known as "Self-Portrait with Bandaged Ear", housed at Kunsthaus Zürich. This work was independently analyzed following a request from researchers in Germany, using a custom biomechanical model trained on verified torque data.
⚠️ Note: This study does not claim that the Tree Oil Painting is related to this work. However, the forensic AI… See the full description on the dataset page: https://huggingface.co/datasets/HaruthaiAi/VanGogh_BandagedEar_KunsthausZurich_AI_Forensic_AuthenticityDataset.authortodaympd-author-dataset