Datasetpublic

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.

sourceHugging Faceotherupdated 2mo agoView on Hugging Face

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rootonescience_relations.yaml

onescience_relations.yaml17 linesDownload Raw Back to root

1required_datasets: []2optional_datasets: []3compatible_models:4  - id: OneScience/PDENNEval5    role: train_data6    required_for: [preflight, train, evaluate]7    resource_ref:8      platform: modelscope9      repo_id: OneScience/PDENNEval10      repo_type: model11      url: https://modelscope.cn/models/OneScience/PDENNEval12      revision: main13      readme_path: README.md14      manifest_path: onescience_run_manifest.yaml15    expected_local_path: session_workdir/data16    expected_env: ONESCIENCE_PDENNEVAL_DATA_DIR17