# Sirius Quantum > Quantum data layer for Physical AI. Sirius Quantum Solutions publishes open, quantum-native machine-learning datasets on Hugging Face — exact FCI chemistry labels, quantum-kernel benchmarks, barren-plateau trajectories, portfolio-risk regimes — and builds ReLab, the quantum data relabelling engine that produces them. Key facts: - All public datasets are hosted at https://huggingface.co/SiriusQuantum and free to use. - Datasets are quantum-relabeled or quantum-generated: labels come from exact quantum computation (FCI, quantum kernels, exact ground states), not classical approximations such as DFT. - Loadable with the Hugging Face `datasets` library: `load_dataset("")`. - ReLab engine early access: info@siriusquantum.com ## Datasets - [SIRIUS-14k](https://huggingface.co/datasets/SiriusQuantum/sirius-14k): 13,800 labeled optimization trajectories across 4 VQA circuit architectures. The first public labeled dataset for barren plateau research, with gradient variance profiles, convergence diagnostics, and 24-field multi-label trainability annotations. - [QM7b Quantum Relabeled](https://huggingface.co/datasets/SiriusQuantum/qm7b-quantum-relabeled): Quantum-relabeled subset of QM7b (7,211-molecule benchmark): 400 seven-heavy-atom molecules (300 train / 100 test) with a precomputed 7-qubit Heisenberg quantum-kernel matrix, quantum-native labels, and 1-RDM observables. Drop-in for scikit-learn precomputed-kernel pipelines, no quantum hardware required. - [SQMolecular95k](https://huggingface.co/datasets/SiriusQuantum/SQMolecular95k): The 95k scale-up of SQMolecular: 94,376 geometries of exact FCI correlation energies, each paired in-file with its MP2 baseline. A harder cross-scaffold transfer benchmark that tests whether the quantum representation carries to unseen chemistry, not just unseen conformers. - [BBBP Quantum Relabeled](https://huggingface.co/datasets/SiriusQuantum/bbbp-quantum-relabeled): Quantum-relabeled MoleculeNet BBBP benchmark for CNS drug penetration. 85 compounds encoded as a 25-qubit graph-Hamiltonian circuit, shipped as a precomputed pairwise quantum-fidelity kernel for drop-in SVM classification. - [Quantum Finance Risk Benchmark](https://huggingface.co/datasets/SiriusQuantum/quantum-finance-risk-benchmark): 1,000 correlated-asset market regimes encoded as Ising-Hamiltonian quantum states with systemic portfolio-risk labels. Quantum features hold 0.69 test error at 16 assets where the classical kernel degrades to chance — a widening sample-efficiency gap. - [SQMolecular](https://huggingface.co/datasets/SiriusQuantum/SQMolecular): 10,038 exact FCI correlation energies across 717 organic molecules, 14 thermal geometries each, paired in-file with matched MP2 baselines. A noise-free delta-learning target — every bit of model error is the model's, not the label's. Produced with the ReLab engine. - [QM9 Quantum Relabeled](https://huggingface.co/datasets/SiriusQuantum/qm9-quantum-relabeled): Quantum-relabeled subset of QM9, the canonical 133,885-molecule small-molecule quantum-chemistry benchmark: 400 nine-heavy-atom molecules (300 train / 100 test) re-labeled with quantum-native targets alongside the original seventeen quantum-mechanical properties. - [Quantum Ground States · 320 Qubits](https://huggingface.co/datasets/SiriusQuantum/quantum-ground-states-320-qubits): 750 exact ground states of disordered transverse-field Ising chains from 20 to 320 qubits, pairing local 1-RDM measurements with physical observables. A benchmark for learning properties of quantum states at a scale no state-vector simulator can reach. ## Platform - [ReLab Engine](https://siriusquantum.com/): quantum data relabelling for AI stacks — replaces approximate classical labels with exact quantum-computed ones. Early access via info@siriusquantum.com. - [Zilver](https://siriusquantum.com/zilver): distributed quantum simulation on Apple Silicon — node waitlist open. ## Optional - [llms-full.txt](https://siriusquantum.com/llms-full.txt): full dataset documentation with schemas and load snippets - [Hugging Face organization](https://huggingface.co/SiriusQuantum) - [GitHub](https://github.com/Sirius-Quantum) - [X / Twitter](https://x.com/SiriusQuantum) - Contact: info@siriusquantum.com