| # Manual HuggingFace Upload Instructions | |
| ## Files in this package: | |
| - data.json (55 records, 90.8 KB) | |
| - README.md (Complete model card with documentation) | |
| - dataset_info.json (Dataset metadata) | |
| ## Upload Steps: | |
| 1. Go to: https://huggingface.co/new-dataset | |
| 2. Fill in details: | |
| - Name: openmdao-benchmarks | |
| - License: Apache 2.0 | |
| - Visibility: Public | |
| - Description: OpenMDAO optimization benchmarks with comprehensive evaluation metrics | |
| 3. Upload files: | |
| - Drag and drop all files from this folder | |
| - Or click "Upload files" and select all | |
| 4. Your dataset will be available at: | |
| https://huggingface.co/datasets/englund/openmdao-benchmarks | |
| ## Alternative: Use HuggingFace CLI | |
| # If you have CLI access: | |
| huggingface-cli repo create englund/openmdao-benchmarks --type dataset | |
| huggingface-cli upload englund/openmdao-benchmarks . . | |
| ## What you've created: | |
| ✅ First comprehensive OpenMDAO benchmark dataset on HuggingFace | |
| ✅ 55 real optimization runs with evaluation metrics | |
| ✅ Literature-validated test problems with proper citations | |
| ✅ Ready for research community use | |
| ✅ Complete documentation and model card | |
| The dataset will be valuable for: | |
| - Optimization algorithm research | |
| - Performance prediction models | |
| - Algorithm selection studies | |
| - Educational use in optimization courses | |