Update Neura Parse organization card for v3.1 source-verified release

README.md

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-title: README
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-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# Neura Parse
+
+**Source-verified quantum and quantum-AI datasets for 2026 research workflows.**
+
+Neura Parse publishes multi-format datasets for supervised fine-tuning,
+evaluation, retrieval-augmented generation, code agents, and continued
+pretraining across quantum computing and quantum AI. The v3.1 portfolio is built
+as source-backed Neura Parse research data: every published row carries
+`source_url` provenance and is labeled `source=neura-parse-research`.
+
+## 2026 Portfolio
+
+- **17 public datasets** under the `Neura-parse` organization.
+- **1,891,534 total rows**, with every dataset above 100k rows.
+- **697 unique source URLs** checked, with 0 bad URLs in the final audit.
+- **513 arXiv identifiers** verified against arxiv.org, with 0 fabricated IDs.
+- **177,532 code records** compiled, with 0 compile failures.
+- **CC-BY-4.0** dataset content for research and development use.
+
+## Source Verification
+
+Every v3.1 dataset card now exposes the same provenance contract:
+
+- `source_url` on every published row.
+- `source=neura-parse-research` across the release.
+- `provenance.method` retained for curated and hybrid research rows.
+- Schema, taxonomy-fit, deduplication, active-source, arXiv-ID, and code checks
+  applied during the build and release pipeline.
+- Legacy production-batch labels removed from the published data.
+
+## Dataset Family
+
+| Dataset | Rows | Focus |
+| --- | ---: | --- |
+| [advanced-quantum-algorithms](https://huggingface.co/datasets/Neura-parse/advanced-quantum-algorithms) | 105,928 | QSVT, block encodings, Hamiltonian simulation, amplitude estimation, and algorithmic resource analysis. |
+| [ai-for-quantum](https://huggingface.co/datasets/Neura-parse/ai-for-quantum) | 113,007 | ML, RL, and LLM/agent methods for decoding, control, characterization, calibration, and quantum software. |
+| [bosonic-photonic-quantum-computing](https://huggingface.co/datasets/Neura-parse/bosonic-photonic-quantum-computing) | 110,330 | Continuous-variable, bosonic, and photonic quantum computing. |
+| [fault-tolerant-quantum-computing](https://huggingface.co/datasets/Neura-parse/fault-tolerant-quantum-computing) | 109,594 | QEC codes, decoders, magic states, logical gates, and resource estimation. |
+| [quantum-compilation-and-programming](https://huggingface.co/datasets/Neura-parse/quantum-compilation-and-programming) | 115,025 | Quantum programming, circuit compilation, routing, optimization, verification, and tooling. |
+| [quantum-computing](https://huggingface.co/datasets/Neura-parse/quantum-computing) | 117,041 | Broad quantum-computing coverage across theory, hardware, software, algorithms, and QML. |
+| [quantum-cryptography-and-post-quantum-security](https://huggingface.co/datasets/Neura-parse/quantum-cryptography-and-post-quantum-security) | 106,488 | QKD, quantum cryptography, quantum attacks, and post-quantum security. |
+| [quantum-error-mitigation-and-benchmarking](https://huggingface.co/datasets/Neura-parse/quantum-error-mitigation-and-benchmarking) | 113,440 | Error mitigation, characterization, tomography, randomized benchmarking, and NISQ validation. |
+| [quantum-hardware-device-physics](https://huggingface.co/datasets/Neura-parse/quantum-hardware-device-physics) | 106,181 | Qubit design, coherence, noise, control, calibration, cryogenics, packaging, and scaling. |
+| [quantum-information-and-complexity-theory](https://huggingface.co/datasets/Neura-parse/quantum-information-and-complexity-theory) | 108,984 | Channels, entropies, entanglement, complexity classes, query complexity, and advantage theory. |
+| [quantum-machine-learning-models](https://huggingface.co/datasets/Neura-parse/quantum-machine-learning-models) | 115,429 | Encodings, kernels, variational classifiers, QNNs, generative models, and deep QML architectures. |
+| [quantum-machine-learning-theory](https://huggingface.co/datasets/Neura-parse/quantum-machine-learning-theory) | 109,283 | Trainability, barren plateaus, generalization, learning from quantum data, and QML sample complexity. |
+| [quantum-networking-and-distributed](https://huggingface.co/datasets/Neura-parse/quantum-networking-and-distributed) | 109,501 | Entanglement distribution, repeaters, network protocols, distributed quantum computing, and modular systems. |
+| [quantum-optimization](https://huggingface.co/datasets/Neura-parse/quantum-optimization) | 113,986 | QAOA, annealing, adiabatic methods, Ising/QUBO mappings, finance, and optimization advantage analysis. |
+| [quantum-sensing-and-metrology](https://huggingface.co/datasets/Neura-parse/quantum-sensing-and-metrology) | 112,220 | Quantum Fisher information, Heisenberg scaling, clocks, magnetometry, interferometry, and sensor networks. |
+| [quantum-simulation-chemistry-materials](https://huggingface.co/datasets/Neura-parse/quantum-simulation-chemistry-materials) | 114,656 | Chemistry and materials simulation, encodings, VQE, QPE, dynamics, and Hamiltonian workflows. |
+| [topological-quantum-computing](https://huggingface.co/datasets/Neura-parse/topological-quantum-computing) | 110,441 | Anyons, topological phases, braiding, Majorana modes, TQFT, and fault-tolerant topological architectures. |
+
+## Hub Links
+
+- [Neura Parse organization](https://huggingface.co/Neura-parse)
+- [Quantum dataset collection](https://huggingface.co/collections/Neura-parse/neura-parse-quantum-6a4bb226e5d170933aaf8fdd)
+- [Dataset framework reference](https://huggingface.co/Neura-parse)