| --- |
| 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. |
|
|
