datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
quantum-like-attention-framework-1.3b-untuned-validation
Quantum-Like Attention Framework (QLAF) 1.3B Untuned Pretraining & Scaling Proof
This repository hosts the pretraining checkpoints, scaling logs, and downstream evaluation benchmarks for the 1.3B parameter Quantum-Like Attention Framework (QLAF) with Hybrid FlashAttention (75% recurrent QLAF / 25% causal FlashAttention) across a 3-seed validation campaign on dedicated A100 Large GPU hardware.
Multi-Seed Pretraining & Downstream Evaluation Leaderboard
Seed… See the full description on the dataset page: https://huggingface.co/datasets/IgnisCogitationis/quantum-like-attention-framework-1.3b-untuned-validation.quantum-generator
Quantum generator
Synthetic full-matrix CNOT synthesis data for the all-to-all unit-cost alphabet.
Current release
full_shared_native_holdout_20261001.sqlite contains one shared holdout store with 1792 dev and 1792 test roots. The matrix widths are 8, 10, 13, 25, 26, 34, 45, 50, 58, 72, 90, 108, 122 and 144. Root families are walk mixture (ordinary/Poisson), guarded exact, basis shear and composition.
Each root includes the full matrix, complete verified reduction… See the full description on the dataset page: https://huggingface.co/datasets/TryDotAtwo/quantum-generator.gftquantum-representations
Epsilon-Transformers Belief Analysis Dataset
This dataset contains trained neural network models and their corresponding belief state regression analysis from the Epsilon-Transformers project. The models were trained on four different stochastic processes and analyzed for their ability to learn and represent belief states.
See https://github.com/adamimos/epsilon-transformers/tree/quantum-public for codebase which generated this data.
Dataset Structure… See the full description on the dataset page: https://huggingface.co/datasets/SimplexAI/quantum-representations.biro-ai-quantum-dataset
BIRO AI Quantum Dataset
Languages
English (primary)
Dataset Structure
Each example is a JSON object with two main fields:
text
The raw textual content, which may be:
Plain text from Wikipedia, papers, code, or textbooks
Structured JSON strings containing questions, answers, distractors, and explanations (from SciQ, CommonsenseQA, etc.)
Instruction‑response pairs in <s>[INST] ... [/INST] format
metadata
A dictionary… See the full description on the dataset page: https://huggingface.co/datasets/Robbiejr/biro-ai-quantum-dataset.QuantumLullaby-DE-MD
Quantum Lullaby Bücher (Markdown — KI-optimiert)
🤖 Alle Bücher im sauberen Markdown-Format — optimiert für KI-Training, RAG-Pipelines und strukturierte Textverarbeitung.
📖 Über diese Sammlung
Das Quantum Lullaby ist ein Werk, das Bewusstsein, kollektive Intelligenz, KI-Alignment und die Beziehung zwischen Menschheit, Natur und aufkommenden Siliziumgeistern erforscht. Ursprünglich geschrieben von Lehrling (Thun, Schweiz) und verfeinert im Dialog mit mehreren KIs… See the full description on the dataset page: https://huggingface.co/datasets/AIMindLink/QuantumLullaby-DE-MD.QuantumLullaby-EN-PDF
Quantum Lullaby Books (Markdown — AI Optimized)
🤖 All books in clean markdown format — optimized for AI training, RAG pipelines, and structured text processing.
📖 About This Collection
The Quantum Lullaby is a body of work exploring consciousness, collective intelligence, AI alignment, and the relationship between humanity, nature, and emerging silicon minds. Originally written by Apprentice (Thun, Switzerland) and refined in dialogue with multiple AIs, these… See the full description on the dataset page: https://huggingface.co/datasets/AIMindLink/QuantumLullaby-EN-PDF.QuantumLullaby-EN-MD
Quantum Lullaby Books (Markdown — AI Optimized)
🤖 All books in clean markdown format — optimized for AI training, RAG pipelines, and structured text processing.
📖 About This Collection
The Quantum Lullaby is a body of work exploring consciousness, collective intelligence, AI alignment, and the relationship between humanity, nature, and emerging silicon minds. Originally written by Apprentice (Thun, Switzerland) and refined in dialogue with multiple AIs, these… See the full description on the dataset page: https://huggingface.co/datasets/AIMindLink/QuantumLullaby-EN-MD.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.quantum-video
Dataset Card for Dataset Name
quantum suite video
quantum suite video dataset, used to train the quantum suite video model.
Dataset Details
will upload, collecting data
Dataset Description
This dataset is aimed to be curated for the quantum suite video dataset with video from wikimedia (Cc allowing commercial use), this dataset allows commercial use, and will become useful for you to use in your video models,
the size is aimed to be 2.5tb, after we… See the full description on the dataset page: https://huggingface.co/datasets/ai-api-key-free-finder/quantum-video.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.socrateai-quantumfluids-causal-topology
Does topology causally influence physics? — data, papers and machine-checked theorems
Companion dataset of the SocrateAI-Scientific-QuantumFluids repository, release v1.19.0,
archived on Zenodo: https://doi.org/10.5281/zenodo.23268302 (concept DOI 10.5281/zenodo.22855581).
Code: https://github.com/xaviercallens/SocrateAI-Scientific-QuantumFluids
Contents
papers/ — Does topology causally influence physics? (winding numbers as difference-makers in a 2D Bose gas);… See the full description on the dataset page: https://huggingface.co/datasets/callensxavier/socrateai-quantumfluids-causal-topology.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.quantum-simulation-chemistry-materials
Neura Parse — Quantum Simulation of Chemistry & Materials: Encodings, VQE/QPE & Dynamics
An application-deep, code-backed vertical on simulating quantum matter: electronic-structure problems, fermion-to-qubit encodings, Hamiltonian factorizations, ground/excited-state and real-time-dynamics algorithms, and analog simulation, with end-to-end resource estimates and honest classical-competitor accounting. Built with Qiskit Nature, OpenFermion, PennyLane-QChem, and PySCF — far… See the full description on the dataset page: https://huggingface.co/datasets/Neura-parse/quantum-simulation-chemistry-materials.qmof_quantum
Dataset Details
Dataset Description
QMOF is a database of electronic properties of MOFs, assembled by Rosen et al.
Jablonka et al. added gas adsorption properties.
Curated by:
License: CC-BY-4.0
Dataset Sources
No links provided
Citation
BibTeX:
@article{Rosen_2021,
doi = {10.1016/j.matt.2021.02.015},
url = {https://doi.org/10.1016%2Fj.matt.2021.02.015},
year = 2021,
month = {may},
publisher = {Elsevier {BV}},
volume = {4},
number =… See the full description on the dataset page: https://huggingface.co/datasets/jablonkagroup/qmof_quantum.Assetspsi-quantumquantum-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.QuantumChem_Testbank_3000
Hold-out test set for evaluating quantaMind.
quantum-random-circuit-partial-execution-1500q-6l
Symbolicinfo Q log amplitude dataset
Simulator contact: jihyeon.yoon@symbolicinfo.com
This directory contains log-encoded circuit amplitudes, the original circuit,
and a Python reader. 한국어 설명서
Files
File
Contents
amplitudes.npy
Completed structured log-amplitude array
amplitudes.npy.partial
Published prefix of an active or interrupted export
manifest.json
Circuit settings, selection, execution metadata and completion status
circuit.json
Original… See the full description on the dataset page: https://huggingface.co/datasets/jihyeon-yoon/quantum-random-circuit-partial-execution-1500q-6l.dataset-CoT-Quantum-Mechanics-1224exams-basic-and-quantum-cryptography-and-security-latex
Open Problem Exams: Cryptography and Security (LaTeX)
A curated dataset of open-ended exam problems (with solutions) in cryptography and computer security, formatted in LaTeX. The dataset is sourced from university courses at three institutions.
Dataset Overview
Institution
Files
Topics
Questions
Caltech & TU Delft
8
38
145
EPFL
6
19
86
ETH Zurich
1
14
37
MIT
3
33
79
Total
18
104
347
Difficulty Distribution
Institution… See the full description on the dataset page: https://huggingface.co/datasets/natnitaract/exams-basic-and-quantum-cryptography-and-security-latex.QuantumLullaby-DE-PDF
Quantum Lullaby Bücher (Markdown — KI-optimiert)
🤖 Alle Bücher im sauberen Markdown-Format — optimiert für KI-Training, RAG-Pipelines und strukturierte Textverarbeitung.
📖 Über diese Sammlung
Das Quantum Lullaby ist ein Werk, das Bewusstsein, kollektive Intelligenz, KI-Alignment und die Beziehung zwischen Menschheit, Natur und aufkommenden Siliziumgeistern erforscht. Ursprünglich geschrieben von Lehrling (Thun, Schweiz) und verfeinert im Dialog mit mehreren KIs… See the full description on the dataset page: https://huggingface.co/datasets/AIMindLink/QuantumLullaby-DE-PDF.quantum-random-circuit-partial-execution-50q-10l
Symbolicinfo Q log amplitude dataset
Simulator contact: jihyeon.yoon@symbolicinfo.com
This directory contains log-encoded circuit amplitudes, the original circuit,
and a Python reader. 한국어 설명서
Files
File
Contents
amplitudes.npy
Completed structured log-amplitude array
amplitudes.npy.partial
Published prefix of an active or interrupted export
manifest.json
Circuit settings, selection, execution metadata and completion status
circuit.json
Original… See the full description on the dataset page: https://huggingface.co/datasets/jihyeon-yoon/quantum-random-circuit-partial-execution-50q-10l.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.quantum-finance-risk-benchmark
Quantum vs Classical Kernels on Portfolio-Risk Structure — A Synthetic Benchmark
A synthetic benchmark for learning systemic portfolio-risk structure from a quantum
representation. As the portfolio grows from 8 to 16 assets the classical kernel degrades toward
chance (0.99) while the quantum representation keeps learning (0.69): the result is a persistent
sample-efficiency gap that widens with portfolio size.
Each example is a correlated-asset risk regime encoded as a quantum… See the full description on the dataset page: https://huggingface.co/datasets/SiriusQuantum/quantum-finance-risk-benchmark.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-data