Refresh Neura Parse organization card

README.md

@@ -1,62 +1,124 @@
 ---
-title: Neura Parse
+title: README
+colorFrom: blue
+colorTo: indigo
 sdk: static
-pinned: true
+pinned: false
 ---
 
+<div align="center">
+
 # Neura Parse
 
 **Source-verified quantum and quantum-AI datasets for 2026 research workflows.**
 
+[![datasets](https://img.shields.io/badge/datasets-17-2563eb)](https://huggingface.co/Neura-parse)
+[![rows](https://img.shields.io/badge/rows-1.89M-0f766e)](https://huggingface.co/collections/Neura-parse/neura-parse-quantum-6a4bb226e5d170933aaf8fdd)
+[![source](https://img.shields.io/badge/source-source_url_on_every_row-111827)](https://huggingface.co/Neura-parse)
+[![license](https://img.shields.io/badge/license-CC--BY--4.0-7c3aed)](https://creativecommons.org/licenses/by/4.0/)
+
+</div>
+
 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`.
+pretraining across quantum computing and quantum AI. The v3.1 portfolio is
+source-backed research data: every published row carries `source_url`
+provenance and is labeled `source=neura-parse-research`.
+
+## Quick Start
+
+```bash
+pip install -U datasets
+```
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("Neura-parse/quantum-computing", split="train")
+row = ds[0]
+
+print(row["record_type"], row["topic"])
+print(row["source_url"])
+```
 
 ## 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.
+| Metric | Value |
+| --- | ---: |
+| Public datasets | 17 |
+| Total rows | 1,891,534 |
+| Train / test rows | 1,702,036 / 189,498 |
+| Minimum rows per dataset | 105,928 |
+| Taxonomy coverage | 375 topics across 94 categories |
+| Unique source URLs checked | 697 |
+| Bad source URLs in final audit | 0 |
+| arXiv identifiers verified | 513 |
+| Fabricated arXiv identifiers | 0 |
+| Code records compiled | 177,532 |
+| Code compile failures | 0 |
+
+## Record Formats
+
+| Format | Rows |
+| --- | ---: |
+| `qa_open` | 581,538 |
+| `qa_mcq` | 519,420 |
+| `instruction` | 403,723 |
+| `concept` | 205,530 |
+| `code` | 177,532 |
+| `corpus` | 3,791 |
 
 ## Source Verification
 
-Every v3.1 dataset card now exposes the same provenance contract:
+Every v3.1 dataset card 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.
+  applied during the release pipeline.
+- Release labels are normalized to source-backed Neura Parse research provenance.
+
+## Choose a Dataset
+
+| Need | Start here |
+| --- | --- |
+| Broad quantum-computing coverage | [`quantum-computing`](https://huggingface.co/datasets/Neura-parse/quantum-computing) |
+| Derivations, QSVT, block encodings, Hamiltonian simulation | [`advanced-quantum-algorithms`](https://huggingface.co/datasets/Neura-parse/advanced-quantum-algorithms) |
+| Quantum software, compilation, routing, executable code | [`quantum-compilation-and-programming`](https://huggingface.co/datasets/Neura-parse/quantum-compilation-and-programming) |
+| QEC, decoders, magic states, logical resources | [`fault-tolerant-quantum-computing`](https://huggingface.co/datasets/Neura-parse/fault-tolerant-quantum-computing) |
+| QML models and code-heavy model workflows | [`quantum-machine-learning-models`](https://huggingface.co/datasets/Neura-parse/quantum-machine-learning-models) |
+| QML theory, trainability, generalization | [`quantum-machine-learning-theory`](https://huggingface.co/datasets/Neura-parse/quantum-machine-learning-theory) |
+| Hardware, calibration, device physics | [`quantum-hardware-device-physics`](https://huggingface.co/datasets/Neura-parse/quantum-hardware-device-physics) |
+| Networking, repeaters, distributed systems | [`quantum-networking-and-distributed`](https://huggingface.co/datasets/Neura-parse/quantum-networking-and-distributed) |
+| Security, QKD, post-quantum cryptography | [`quantum-cryptography-and-post-quantum-security`](https://huggingface.co/datasets/Neura-parse/quantum-cryptography-and-post-quantum-security) |
+| Sensing, metrology, Fisher information | [`quantum-sensing-and-metrology`](https://huggingface.co/datasets/Neura-parse/quantum-sensing-and-metrology) |
+| Chemistry, materials, simulation workflows | [`quantum-simulation-chemistry-materials`](https://huggingface.co/datasets/Neura-parse/quantum-simulation-chemistry-materials) |
+| Topological phases, anyons, Majorana systems | [`topological-quantum-computing`](https://huggingface.co/datasets/Neura-parse/topological-quantum-computing) |
 
 ## 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. |
+| [advanced-quantum-algorithms](https://huggingface.co/datasets/Neura-parse/advanced-quantum-algorithms) | 105,928 | QSVT, block encodings, Hamiltonian simulation, amplitude estimation, and 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 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-compilation-and-programming](https://huggingface.co/datasets/Neura-parse/quantum-compilation-and-programming) | 115,025 | Quantum programming, compilation, routing, optimization, verification, and tooling. |
+| [quantum-computing](https://huggingface.co/datasets/Neura-parse/quantum-computing) | 117,041 | Broad quantum 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-hardware-device-physics](https://huggingface.co/datasets/Neura-parse/quantum-hardware-device-physics) | 106,181 | Qubit design, coherence, noise, control, 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, 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. |
+| [quantum-machine-learning-theory](https://huggingface.co/datasets/Neura-parse/quantum-machine-learning-theory) | 109,283 | Trainability, barren plateaus, generalization, quantum data, and sample complexity. |
+| [quantum-networking-and-distributed](https://huggingface.co/datasets/Neura-parse/quantum-networking-and-distributed) | 109,501 | Entanglement distribution, repeaters, protocols, distributed 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 advantage analysis. |
+| [quantum-sensing-and-metrology](https://huggingface.co/datasets/Neura-parse/quantum-sensing-and-metrology) | 112,220 | 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. |
+| [topological-quantum-computing](https://huggingface.co/datasets/Neura-parse/topological-quantum-computing) | 110,441 | Anyons, topological phases, braiding, Majorana modes, TQFT, and topological architectures. |
 
-## Hub Links
+## Links
 
 - [Neura Parse organization](https://huggingface.co/Neura-parse)
 - [Quantum dataset collection](https://huggingface.co/collections/Neura-parse/neura-parse-quantum-6a4bb226e5d170933aaf8fdd)