| # LeMat-Bulk MLIP Hull Reference Datasets |
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| This dataset contains materials close to the convex hull computed using various ML interatomic potentials (MLIPs). |
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| ## Dataset Splits |
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| - **`all`**: Contains ALL materials with hull energies for all MLIPs (no threshold filtering) |
| - **`dft`, `orb`, `uma`, `mace_mp`, `mace_omat`**: Materials within 0.001 eV/atom of respective hulls |
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| ## Energy Types |
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| - `dft`: DFT reference energies |
| - `orb`: ORB model energies |
| - `uma`: UMA model energies |
| - `mace_mp`: MACE-MP model energies |
| - `mace_omat`: MACE-OMAT model energies |
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| ## File Structure |
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| - `all_hull_energies.parquet`: All materials with hull energies for all energy types |
| - `{energy_type}_above_hull_dataset.parquet`: Filtered materials within threshold |
| - `{energy_type}_above_hull_composition_matrix.npz`: Sparse composition matrix |
| - `{energy_type}_above_hull_metadata.npz`: Metadata including element mappings |
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| ## Usage |
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|
| ```python |
| from datasets import load_dataset |
| import pandas as pd |
| from scipy import sparse |
| import numpy as np |
| |
| # Load dataset |
| ds = load_dataset("LeMaterial/LeMat-Bulk-MLIP-Hull") |
| |
| # Or load specific files |
| df = pd.read_parquet("hf://datasets/LeMaterial/LeMat-Bulk-MLIP-hull/threshold_0_001/dft_above_hull_dataset.parquet") |
| comp_matrix = sparse.load_npz("path/to/dft_above_hull_composition_matrix.npz") |
| metadata = np.load("path/to/dft_above_hull_metadata.npz", allow_pickle=True) |
| ``` |
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