OneScience-Group/pdenneval
PDENNEval Dataset Description PDENNEval is a comprehensive dataset for evaluating neural-network-based PDE solving methods, introduced in an IJCAI 2024 paper. It covers function learning and operator learning tasks and includes 15 types of PDE problems across multiple scientific domains, including fluids, materials, finance, and electromagnetics. The dataset consists of 10 PDEBench data files and 6 self-generated data files, totaling approximately 286.9 GB. It can… See the full description on the dataset page: https://huggingface.co/datasets/OneScience-Group/pdenneval.
| Author / organization | OneScience-Group |
|---|---|
| License (as declared) | other |
| Downloads | 433 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 29 July 2026 |
| Last updated at source | 31 July 2026 |
Popularity, last 3 days
433 now (+7 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
More from OneScience-Group
- OneScience-Group/airfransDataset
- OneScience-Group/AlphaFold3_datasetDataset
- OneScience-Group/ShapeNetCarDataset
- OneScience-Group/cfd_benchmarkDataset
- OneScience-Group/NEPDataset
- OneScience-Group/mp20Dataset
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.