datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
VDR_Quantum
VDR_Quantum – Overview
VDR_Quantum is a curated multimodal dataset focused on quantum technical documents. It combines text and image data extracted from real scientific PDFs to support tasks such as RAG DSE, question answering, document search, and vision-language model training.
Dataset Composition
This dataset was created using our open-source tool VDR_pdf-to-parquet.Quantum-related PDFs were collected from public online sources. Each document was processed… See the full description on the dataset page: https://huggingface.co/datasets/racineai/VDR_Quantum.Quantum
Dataset Summary
ILSVRC 2012, commonly known as 'ImageNet' is an image dataset organized according to the WordNet hierarchy. Each meaningful concept in WordNet, possibly described by multiple words or word phrases, is called a "synonym set" or "synset". There are more than 100,000 synsets in WordNet, majority of them are nouns (80,000+). ImageNet aims to provide on average 1000 images to illustrate each synset. Images of each concept are quality-controlled and human-annotated.
💡… See the full description on the dataset page: https://huggingface.co/datasets/Miku26727/Quantum.erebus-fixtures
Erebus Rescue Maze Fixtures
Image-classification dataset of RoboCup Junior Rescue Maze "fixtures" — the victim
letters and hazardous-material placards a rescue robot must detect — captured from the
robot's camera inside the Erebus simulation (Webots).
The images were hand-collected from the robot's camera in Erebus. This Rescue Maze
category runs only in the simulator and has no physical counterpart, so these are the real
images of the task — not a synthetic stand-in for… See the full description on the dataset page: https://huggingface.co/datasets/quantumly/erebus-fixtures.VanGogh_vs_TreeOilPainting_QuantumTorque_EnergyField_Analysis_Phase1_2025
Dataset Policy
VanGogh Vs. Tree Oil Painting: Quantum Torque Energy Field Analysis 2025
Structure Type
Free-form and Semi-structured Narrative
Core Principles
Each file is an independent analytical entity with its own identity.
Each file is the result of Autonomous AI–Human Co-analysis.
The structure is intentionally open, flexible, and adaptive, reflecting the natural reasoning process of the researcher, rather than forcing rigid… See the full description on the dataset page: https://huggingface.co/datasets/HaruthaiAi/VanGogh_vs_TreeOilPainting_QuantumTorque_EnergyField_Analysis_Phase1_2025.Assetsquantum-assistant
Quantum Assistant: Multimodal Dataset for Quantum Computing with Qiskit
The first public multimodal dataset for quantum computing code generation and understanding
Overview
Quantum Assistant Dataset is a high-quality multimodal dataset designed for specializing Vision-Language Models (VLMs) in quantum computing tasks using Qiskit. This dataset addresses the critical gap in existing quantum computing AI assistants, which operate exclusively on text and… See the full description on the dataset page: https://huggingface.co/datasets/samuellimabraz/quantum-assistant.VanGogh_vs_TreeOilPainting_QuantumTorque_EnergyField_Analysis_2025⚠️ Legacy Notice (Phase 1)
This dataset represents the early Center Index / Phase 1 design of the Tree Oil Painting × Van Gogh forensic framework.
It is kept online for historical transparency, methodology reference, and interface testing.
For all current physics-locked baselines, biomechanical signatures, and production-ready files, please refer to:
➡️ VanGogh_vs_TreeOilPainting_QuantumTorque_EnergyField_Analysis_2025
🌿 Interactive Image Space (Phase 1)ForensicImageGallery_Phase1… See the full description on the dataset page: https://huggingface.co/datasets/HaruthaiAi/VanGogh_vs_TreeOilPainting_QuantumTorque_EnergyField_Analysis_2025.VanGogh_TreeOilPainting_QuantumTorque_AIForensicAnalysis_DatasetQuantum Torque Mapping Dataset
Van Gogh Tree Oil – Torque-Centered AI Field Learning
🚨 World’s Largest Torque-Based AI Forensic Dataset on a Single Painting
This dataset represents the most extensive and deeply structured AI forensic investigation of brushstroke torque patterns ever conducted on a single historical artwork — The Tree Oil Painting.
Spanning over 30+ comparative studies, 18 torque-sensitive techniques, and multiple layers of scientific analysis (X-ray, FTIR, PXRF, SEM, pigment… See the full description on the dataset page: https://huggingface.co/datasets/HaruthaiAi/VanGogh_TreeOilPainting_QuantumTorque_AIForensicAnalysis_Dataset.VDR_Quantum_Circuit_Papers
VDR_Quantum_Circuit_Papers – Overview
VDR_Quantum_Circuit_Papers is a curated dataset focused on quantum circuits and quantum gates, extracted exclusively from scientific research papers. This dataset emphasizes documents that contain circuit diagrams, matrix-based explanations, and detailed discussions of quantum operations.
Dataset Composition
This dataset was created using our open-source tool VDR_pdf-to-parquet.
Scientific PDFs were sourced from public online… See the full description on the dataset page: https://huggingface.co/datasets/racineai/VDR_Quantum_Circuit_Papers.quantum-manifold-dataQuantumEmbeddings
Overview
This repository provides a collection of embedding datasets for evaluating quantum-classical support vector machines (QSVMs) using embeddings from pre-trained classical models. Each dataset follows the naming convention:
<model_name>_<embedding_dim>.csv
Where:
model_name: the architecture used to generate the embeddings (e.g., vit_b_16, efficientnet, vit_l_14@336px)
embedding_dim: the dimensionality of the embedding vectors
The last column in each CSV represents the class… See the full description on the dataset page: https://huggingface.co/datasets/sebasmos/QuantumEmbeddings.VDR_Quantum_Circuit_Synthetic
VDR_Quantum_Circuit_Synthetic – Overview
VDR_Quantum_Circuit_Synthetic is a curated multimodal dataset focused on synthetic quantum circuits. It combines generated circuit images with expert-level technical queries to support tasks such as RAG DSE, question answering, document search, and vision-language model training.
Dataset Composition
This dataset was created using our open-source tool VDR_pdf-to-parquet, adapted to handle synthetic data.
Quantum circuit images and… See the full description on the dataset page: https://huggingface.co/datasets/racineai/VDR_Quantum_Circuit_Synthetic.quantum-noise-transfer
Quantum Noise Transfer: Cross-Device Few-Shot Adaptation Dataset
Paper: Few-Shot Cross-Device Transfer for Quantum Noise Modeling on Real Hardware
Authors: Sahil Al Farib, Sheikh Redwanul Islam, Azizur Rahman Anik
Dataset Description
A real-hardware quantum noise dataset collected from two IBM Quantum devices for studying cross-device transfer learning in quantum error mitigation. Each sample pairs a noisy output distribution (measured on real hardware) with the… See the full description on the dataset page: https://huggingface.co/datasets/sahilfarib/quantum-noise-transfer.quantum-leaderboard-assetscats_vs_dogs
Dataset Card for Cats Vs. Dogs
Dataset Summary
A large set of images of cats and dogs. There are 1738 corrupted images that are dropped. This dataset is part of a now-closed Kaggle competition and represents a subset of the so-called Asirra dataset.
From the competition page:
The Asirra data set
Web services are often protected with a challenge that's supposed to be easy for people to solve, but difficult for computers. Such a challenge is often called a CAPTCHA… See the full description on the dataset page: https://huggingface.co/datasets/quantumminiproject/cats_vs_dogs.robotinder-dataanonymous_dataset
KnowVis: A Dual-View Benchmark for Diagnosing World-Knowledge Grounding in Text-to-Image Models
📖 Overview
Text-to-image (T2I) models have made substantial progress in visual realism, aesthetic quality, and instruction following. However, real-world prompts often go beyond explicit visual descriptions and require implicit facts, structured knowledge, and domain-specific commonsense. Existing evaluations mainly focus on explicit prompt-to-image semantic alignment or… See the full description on the dataset page: https://huggingface.co/datasets/QuantumWhisper42/anonymous_dataset.Computation-Quantum-Physicsgtx-flickr30kquantum_datasetsdcVG_1884_HeadPeasant_vs_TheTreeOil_QuantumTorque_DeepCoherence
📚 Scientific and Artistic Coherence of The Tree Oil Painting
🎨 Section I: Brushstroke Analysis – Torque, Pressure, and Expression
This dataset compares two paintings:
The Tree Oil Painting (anonymous, 19th-century oil painting)
Portrait of a Peasant (1884) by Vincent van Gogh
Analyzed using the 18 Supreme Techniques of AI brushstroke forensics, both paintings demonstrate:
Torque force centered in the wrist (dominantly left-handed)
Brush pressure rhythm with a… See the full description on the dataset page: https://huggingface.co/datasets/HaruthaiAi/VG_1884_HeadPeasant_vs_TheTreeOil_QuantumTorque_DeepCoherence.Musings_quantum_mechanics