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NEP
Dataset Description
The NEP dataset provides example data for training materials potentials with OneScience-Group/NEP. It includes several materials systems, such as AuAg, Cu, HfO2, and LiSiC, in pwmat/movement, pwmlff/npy, and extxyz formats. The dataset contains atomic coordinates, cell information, energies, and forces for different configurations of these systems. It is intended as a standard benchmark for learning and validating machine-learning interatomic potential methods, including NEP.
The current package contains approximately 636 data and metadata files totaling about 38 MB.
Supported Tasks
This standardized data repository packages the complete official MatPL examples for four materials systems. It can be used for:
- Training and validating machine-learning interatomic potentials
- Fitting potential energy surfaces for materials simulations
- Functional testing and benchmarking of the NEP framework
Dataset Formats and Structure
Data files are stored under data/MatPL/ and grouped by materials system:
| Path | Format | Shape/content | Description |
|---|---|---|---|
data/MatPL/AuAg/AuAg-5762.xyz |
extxyz | [N_frames, N_atoms] |
Configurations for the AuAg system |
data/MatPL/Cu/pwdata/0_300_MOVEMENT |
pwmat/movement | [N_frames, N_atoms] |
Cu training data at 300 K |
data/MatPL/Cu/pwdata/1_500_MOVEMENT |
pwmat/movement | [N_frames, N_atoms] |
Cu training data at 500 K |
data/MatPL/Cu/pwdata/valid_movement |
pwmat/movement | [N_frames, N_atoms] |
Cu validation data |
data/MatPL/HfO2/pwdata/init_*/train/atom_type.npy |
npy | [N_atoms] |
Atomic species for the HfO2 system |
data/MatPL/HfO2/pwdata/init_*/train/energies.npy |
npy | [N_frames] |
Total configuration energies for the HfO2 system |
data/MatPL/HfO2/pwdata/init_*/train/forces.npy |
npy | [N_frames, N_atoms×3] |
Atomic forces for the HfO2 system |
data/MatPL/HfO2/pwdata/init_*/train/image_type.npy |
npy | [N_frames] |
Configuration types for the HfO2 system |
data/MatPL/HfO2/pwdata/init_*/train/lattice.npy |
npy | [N_frames, 9] |
Cell matrices for the HfO2 system |
data/MatPL/HfO2/pwdata/init_*/train/position.npy |
npy | [N_frames, N_atoms×3] |
Atomic coordinates for the HfO2 system |
data/MatPL/HfO2/pwdata/init_*/valid/ |
npy | Same as above | HfO2 validation-data shards |
data/MatPL/LiSiC/pwdata/init_*/train/ |
npy | Same as above | LiSiC training-data shards |
data/MatPL/LiSiC/pwdata/init_*/valid/ |
npy | Same as above | LiSiC validation-data shards |
metadata/sha256_manifest.txt |
SHA-256 | Integrity manifest | File-integrity checksums |
Downloading the Dataset
hf download --dataset OneScience-Group/NEP --local-dir ./data
Official OneScience Resources
| Platform | OneScience Main Repository | Skills Repository |
|---|---|---|
| Gitee | https://gitee.com/onescience-ai/onescience | https://gitee.com/onescience-ai/oneskills |
| GitHub | https://github.com/onescience-ai/OneScience | https://github.com/onescience-ai/oneskills |
Limitations and License
This dataset consists of the official MatPL example data. No new samples were generated, and the original data contents were not modified.
- Original source: Official MatPL repository
- Model card metadata:
gpl-3.0, normalized from the sourceGPLv3declaration - Source terms: Before redistribution or production use, review the licensing and provenance information provided by the original MatPL data sources and the OneScience repository. These source-specific terms remain authoritative for any component with separate licensing.
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