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OC20
Dataset Description
The OC20 dataset is an extxyz subset of the Open Catalyst 2020 (OC20) S2EF (Structure to Energy and Forces) dataset. It contains atomic coordinates, unit-cell information, energies, and forces for adsorption configurations on catalytic material surfaces. Its energy and force fields are consistent with those in the UMA OC20 configuration, making it a standard benchmark dataset for developing and validating machine-learned interatomic potential methods for catalytic materials.
This repository currently contains two splits:
s2ef_200k_uncompressed: Training subset with 2 shards and 10,000 frames in total, with 8–221 atoms per frame.s2ef_val_id_uncompressed: In-distribution validation subset with 4 shards and 20,000 frames in total, with 8–223 atoms per frame.
The original data comes from the Open Catalyst Project / fair-chem OC20. This repository provides the accompanying data package for the OneScience UMA fine-tuning example.
The current data package contains approximately 8 files totaling approximately 1.2 GB.
Supported Tasks
This standardized data repository organizes the complete OC20 S2EF subset package, including training and validation sets, to support:
- Fine-tuning machine-learned interatomic potentials on adsorption configurations at catalytic material surfaces
- Training and validation of energy and force prediction models
- Functional testing and benchmark evaluation of the UMA framework
Dataset Format and Structure
The data files are located in the data/oc20/ directory and organized into shards by split:
| File Path | Format | Shape / Content | Description |
|---|---|---|---|
oc20/s2ef_200k_uncompressed/0.extxyz |
extxyz | [N_frames, N_atoms] |
Training subset shard 0, 5,000 frames |
oc20/s2ef_200k_uncompressed/1.extxyz |
extxyz | [N_frames, N_atoms] |
Training subset shard 1, 5,000 frames |
oc20/s2ef_val_id_uncompressed/0.extxyz |
extxyz | [N_frames, N_atoms] |
Validation subset shard 0, 5,000 frames |
oc20/s2ef_val_id_uncompressed/1.extxyz |
extxyz | [N_frames, N_atoms] |
Validation subset shard 1, 5,000 frames |
oc20/s2ef_val_id_uncompressed/2.extxyz |
extxyz | [N_frames, N_atoms] |
Validation subset shard 2, 5,000 frames |
oc20/s2ef_val_id_uncompressed/3.extxyz |
extxyz | [N_frames, N_atoms] |
Validation subset shard 3, 5,000 frames |
metadata/schema.yaml |
YAML | Data structure description | extxyz field schema definition |
metadata/sha256_manifest.txt |
SHA256 | Checksum manifest | File integrity verification |
extxyz Data Format
Each configuration consists of an atom-count line, a comment line, and atom lines. The comment line contains Lattice, Properties, energy, free_energy, and pbc. Each atom line contains the element, coordinates, move_mask, tags, and forces.
| Field | Type | Shape | Description |
|---|---|---|---|
species |
str | [N_atoms] |
Element symbols spanning various metals and nonmetals |
pos |
float | [N_atoms, 3] |
Atomic coordinates in Å |
move_mask |
bool | [N_atoms] |
Whether each atom can move, T or F |
tags |
int | [N_atoms] |
Atomic labels distinguishing adsorbates, surfaces, subsurfaces, and other categories |
forces |
float | [N_atoms, 3] |
Atomic forces in eV/Å |
energy |
float | [1] |
Total configuration energy in eV |
free_energy |
float | [1] |
Configuration free energy in eV |
pbc |
bool | [3] |
Periodic boundary conditions |
Lattice |
float | [3, 3] |
Periodic cell matrix |
How to Use the Dataset
Download the Dataset
hf download --dataset OneScience-Sugon/oc20 --local-dir ./data
Official OneScience Information
| 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 is an official S2EF subset of Open Catalyst 2020 (OC20). No new samples were generated, and the original data content was not altered.
- Original source: Open Catalyst Project / fair-chem OC20
- License: Apache License 2.0
- Usage restrictions: Refer to the original OC20 data source and the information provided by the OneScience repository and ModelScope page
When using the OC20 dataset, cite the original Open Catalyst paper:
- Chanussot, L.; Das, A.; Goyal, S.; Lavril, T.; Shuaibi, M.; Riviere, M.; Tran, K.; Heras-Domingo, J.; Ho, C.; Hu, W.; Palizhati, A.; Sriram, A.; Wood, B.; Yoon, J.; Parikh, D.; Zitnick, C. L.; Ulissi, Z. Open Catalyst 2020 (OC20) Dataset and Community Challenges. ACS Catal. 2021, 11 (10), 6059–6072. https://doi.org/10.1021/acscatal.0c04525
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