Upload croissant-rai.jsonld with huggingface_hub
Browse files- croissant-rai.jsonld +59 -0
croissant-rai.jsonld
ADDED
|
@@ -0,0 +1,59 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"@context": {
|
| 3 |
+
"@vocab": "https://schema.org/",
|
| 4 |
+
"cr": "http://mlcommons.org/croissant/",
|
| 5 |
+
"rai": "http://mlcommons.org/croissant/RAI/"
|
| 6 |
+
},
|
| 7 |
+
"@type": "sc:Dataset",
|
| 8 |
+
"@id": "https://huggingface.co/datasets/QuantBlockchain/qcv-dataset",
|
| 9 |
+
"name": "QCV-Dataset",
|
| 10 |
+
"description": "132 Quantum Circuits, 5 Core Modalities, 792 Experiment Results, Bilingual Annotations.",
|
| 11 |
+
"license": "https://spdx.org/licenses/MIT.html",
|
| 12 |
+
"url": "https://huggingface.co/datasets/QuantBlockchain/qcv-dataset",
|
| 13 |
+
"sameAs": "https://github.com/QuantBlockchain/quantum-circuit-vision",
|
| 14 |
+
"citeAs": "@misc{liu2026qcv, title={QCV: Cost-Aware Evaluation of Visual AI Agents for Quantum Code Generation}, author={Liu, Dongping and Zhang, Aoyu and Zhang, Luyao}, year={2026}, url={https://github.com/QuantBlockchain/quantum-circuit-vision}}",
|
| 15 |
+
"creator": [
|
| 16 |
+
{
|
| 17 |
+
"@type": "Person",
|
| 18 |
+
"name": "Dongping Liu"
|
| 19 |
+
},
|
| 20 |
+
{
|
| 21 |
+
"@type": "Person",
|
| 22 |
+
"name": "Aoyu Zhang"
|
| 23 |
+
},
|
| 24 |
+
{
|
| 25 |
+
"@type": "Person",
|
| 26 |
+
"name": "Luyao Zhang"
|
| 27 |
+
}
|
| 28 |
+
],
|
| 29 |
+
"datePublished": "2026-04",
|
| 30 |
+
"version": "1.0.0",
|
| 31 |
+
"rai:dataCollection": {
|
| 32 |
+
"description": "Circuits generated using Qiskit + expert curation. Verified on Braket LocalSimulator.",
|
| 33 |
+
"collectionMethod": "Computational generation with manual expert annotation",
|
| 34 |
+
"source": "Synthetic generation via Qiskit + expert curation"
|
| 35 |
+
},
|
| 36 |
+
"rai:dataLimitations": [
|
| 37 |
+
"Limited to Amazon Braket SDK circuits; framework-specific syntax",
|
| 38 |
+
"State vectors from LocalSimulator only; hardware results may differ",
|
| 39 |
+
"Bilingual annotations cover EN/CN only",
|
| 40 |
+
"Depth range 1-27; may not represent extremely deep circuits",
|
| 41 |
+
"No real quantum hardware execution data"
|
| 42 |
+
],
|
| 43 |
+
"rai:dataBiases": "Dataset includes 23.5% blockchain-relevant circuits, which may over-represent cryptographic applications relative to general quantum computing.",
|
| 44 |
+
"rai:useCases": [
|
| 45 |
+
"Training visual AI agents for quantum circuit understanding",
|
| 46 |
+
"Evaluating multimodal LLMs on code generation from circuit diagrams",
|
| 47 |
+
"Quantum program verification and equivalence checking",
|
| 48 |
+
"Cost-aware model selection for quantum code generation tasks"
|
| 49 |
+
],
|
| 50 |
+
"rai:dataReleaseMaintenance": {
|
| 51 |
+
"version": "1.0.0",
|
| 52 |
+
"releaseDate": "2026-04",
|
| 53 |
+
"maintenancePlan": "Community-driven updates; issue tracking via GitHub"
|
| 54 |
+
},
|
| 55 |
+
"rai:securityPrivacy": {
|
| 56 |
+
"personalInformation": "No personal information included",
|
| 57 |
+
"sensitiveData": "No sensitive data; all synthetic quantum circuits"
|
| 58 |
+
}
|
| 59 |
+
}
|