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| license: cc-by-4.0 | |
| pretty_name: NeWGen-Bench | |
| size_categories: | |
| - 100K<n<1M | |
| task_categories: | |
| - other | |
| tags: | |
| - neural-network-weights | |
| - weight-generation | |
| - parameter-generation | |
| - benchmark | |
| - model-zoo | |
| # NeWGen-Bench | |
| A benchmark for neural network parameter generation. The release contains | |
| trained checkpoints across multiple architectures, datasets, and task | |
| domains, each paired with structured metadata describing the architecture, | |
| training data, hyperparameters, and final performance. | |
| This dataset accompanies an anonymous submission to NeurIPS 2026 | |
| Evaluations and Datasets Track. | |
| ## Repository Structure | |
| ```text | |
| <root>/ | |
| datasets/ Local datasets and dataset caches | |
| registry/ JSON registries for benchmark runs, metrics, configs, and checkpoints | |
| train/ Training scripts and configuration files | |
| models/ Model definition files | |
| zoo/ Trained model checkpoints | |
| collect/ Collected checkpoint trajectories | |
| ``` | |
| ## Task Domains | |
| The benchmark spans the following task domains: | |
| - Image classification | |
| - Image segmentation | |
| - Text classification | |
| - LLM adaptation | |
| - VLM adaptation | |
| ## Artifacts | |
| - Trained checkpoints: `zoo/**/*.pth` | |
| - Collected checkpoint trajectories: `collect/**/*.pth` | |
| - Training configs: `train/**/config/*.json` | |
| - Model definitions: `models/*.py` | |
| ## Status | |
| This is an initial placeholder release. The metadata table and a | |
| representative sample of checkpoints will be added before the full paper | |
| deadline. The complete collection of trained checkpoints will be made | |
| available before the camera-ready deadline. | |
| ## License | |
| Released under CC BY 4.0. Individual checkpoints are derived from public | |
| training datasets, each governed by its own license; downstream users | |
| should comply with the licenses of the underlying training data. | |