sample_id stringlengths 17 28 ⌀ | split stringclasses 1
value | task stringclasses 2
values |
|---|---|---|
nial_mix_0000_000 | train | full |
nial_mix_0000_001 | train | full |
nial_mix_0000_002 | train | full |
nial_mix_0000_003 | train | full |
nial_mix_0000_004 | train | full |
nial_mix_0000_005 | train | full |
nial_mix_0000_006 | train | full |
nial_mix_0000_007 | train | full |
nial_mix_0000_008 | train | full |
nial_mix_0000_009 | train | full |
nial_mix_0000_010 | train | full |
nial_mix_0000_011 | train | full |
nial_mix_0000_012 | train | full |
nial_mix_0000_013 | train | full |
nial_mix_0000_014 | train | full |
nial_mix_0000_015 | train | full |
nial_mix_0000_016 | train | full |
nial_mix_0000_017 | train | full |
nial_mix_0000_018 | train | full |
nial_mix_0000_019 | train | full |
nial_mix_0000_020 | train | full |
nial_mix_0000_021 | train | full |
nial_mix_0000_022 | train | full |
nial_mix_0000_023 | train | full |
nial_mix_0000_024 | train | full |
nial_mix_0001_000 | train | full |
nial_mix_0001_001 | train | full |
nial_mix_0001_002 | train | full |
nial_mix_0001_003 | train | full |
nial_mix_0001_004 | train | full |
nial_mix_0001_005 | train | full |
nial_mix_0001_006 | train | full |
nial_mix_0001_007 | train | full |
nial_mix_0001_008 | train | full |
nial_mix_0001_009 | train | full |
nial_mix_0001_010 | train | full |
nial_mix_0001_011 | train | full |
nial_mix_0001_012 | train | full |
nial_mix_0001_013 | train | full |
nial_mix_0001_014 | train | full |
nial_mix_0001_015 | train | full |
nial_mix_0001_016 | train | full |
nial_mix_0001_017 | train | full |
nial_mix_0001_018 | train | full |
nial_mix_0001_019 | train | full |
nial_mix_0001_020 | train | full |
nial_mix_0001_021 | train | full |
nial_mix_0001_022 | train | full |
nial_mix_0001_023 | train | full |
nial_mix_0001_024 | train | full |
nial_mix_0002_000 | train | full |
nial_mix_0002_001 | train | full |
nial_mix_0002_002 | train | full |
nial_mix_0002_003 | train | full |
nial_mix_0002_004 | train | full |
nial_mix_0002_005 | train | full |
nial_mix_0002_006 | train | full |
nial_mix_0002_007 | train | full |
nial_mix_0002_008 | train | full |
nial_mix_0002_009 | train | full |
nial_mix_0002_010 | train | full |
nial_mix_0002_011 | train | full |
nial_mix_0002_012 | train | full |
nial_mix_0002_013 | train | full |
nial_mix_0002_014 | train | full |
nial_mix_0002_015 | train | full |
nial_mix_0002_016 | train | full |
nial_mix_0002_017 | train | full |
nial_mix_0002_018 | train | full |
nial_mix_0002_019 | train | full |
nial_mix_0002_020 | train | full |
nial_mix_0002_021 | train | full |
nial_mix_0002_022 | train | full |
nial_mix_0002_023 | train | full |
nial_mix_0002_024 | train | full |
nial_mix_0003_000 | train | full |
nial_mix_0003_001 | train | full |
nial_mix_0003_002 | train | full |
nial_mix_0003_003 | train | full |
nial_mix_0003_004 | train | full |
nial_mix_0003_005 | train | full |
nial_mix_0003_006 | train | full |
nial_mix_0003_007 | train | full |
nial_mix_0003_008 | train | full |
nial_mix_0003_009 | train | full |
nial_mix_0003_010 | train | full |
nial_mix_0003_011 | train | full |
nial_mix_0003_012 | train | full |
nial_mix_0003_013 | train | full |
nial_mix_0003_014 | train | full |
nial_mix_0003_015 | train | full |
nial_mix_0003_016 | train | full |
nial_mix_0003_017 | train | full |
nial_mix_0003_018 | train | full |
nial_mix_0003_019 | train | full |
nial_mix_0003_020 | train | full |
nial_mix_0003_021 | train | full |
nial_mix_0003_022 | train | full |
nial_mix_0003_023 | train | full |
nial_mix_0003_024 | train | full |
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
Alloy-XRD-Bench v1.1 Dataset Card
Summary
Alloy-XRD-Bench v1.1 contains two independent simulated powder-XRD tasks. HEA-SRO predicts masked first- and second-shell Warren-Cowley short-range order. Results are reported for ID, composition OOD, chemistry OOD, and SRO OOD splits with parent-group macro averaging. Gamma-Decomp predicts unordered gamma/gamma-prime phase/HKL-group reflection components and their center, FWHM, integrated intensity, and profile parameters from full patterns and overlap windows.
No cross-task total score is defined. HEA family and occupancy identifiability remain diagnostics rather than leaderboard tasks.
Family labels are automated diagnostics and are not expert-validated ground truth. Occupancy pairs are used only to diagnose identifiability and abstention under frozen simulated perturbations; they do not produce a v1.1 ranking score.
HEA Source And License
- Source: DFT dataset for high entropy materials, Kangming Li and Jason Hattrick-Simpers.
- DOI:
10.5281/zenodo.10854500. - License: CC BY 4.0.
- Source CSV SHA-256:
42722654902f03efde4e1d53284741033f4c43b77d7ba5ced29e4cf873c455fe. - Accepted canonical structures: 84,019 of 84,024 source rows.
Each released XRD sample retains a structure_state_id, xrd_sample_id, and
parent_group_id. Clean, counterfactual, and perturbed views inherit one parent
group and cannot cross a split boundary.
Gamma-Decomp Data
Gamma-Decomp v1.1 contains 10,000 synthetic Ni-Al gamma/gamma-prime mixtures,
175,150 raw reflection provenance rows, and 165,150 grouped full-pattern scoring
components. Exactly coincident gamma-prime (221)/(300) reflections remain
separate in provenance and are merged into one hkl_group_id for scoring.
Train patterns expose a clean spectrum only for the frozen no-perturbation
ablation; validation and test expose only observed intensity.
Evaluation
The HEA primary metric is masked parent-macro MAE. RMSE and per-shell Spearman correlations are secondary. Composition Ridge is the deterministic baseline. Peak XGBoost, ResNet1D, Spectrum Transformer, and the physics-constrained Transformer use seeds 2027-2031. Confidence intervals use 2,000 parent bootstrap replicates with seed 2027 and are reported separately from random-seed standard deviations. Gamma-Decomp reports component F1, phase/HKL-group and count accuracy, peak-parameter errors, calibration, and forward reconstruction separately for full and window views.
External Sanity Sets
The benchmark release includes four experimental patterns used only for
external-validity checks. Two AlCoCrFeNi patterns come from Zenodo DOI
10.5281/zenodo.4623002 (CC BY 4.0). Two precipitation-heat-treated Ni-based
superalloy patterns for IN718 and AM718R come from Apollo DOI
10.17863/CAM.87406 (CC BY-ND 4.0); the original source ZIP and .xy files are
redistributed without modification. Their manifests, source hashes, and allowed
claims are under data/external_sanity.
None of these experimental patterns has exact SRO or Gamma-Decomp component truth. The associated Ni study explicitly reports that gamma-prime and gamma-double-prime superlattice reflections are not distinguishable.
Limitations
All primary-task XRD patterns and v1.1 observation perturbations are simulated. The external experimental sanity patterns have no exact latent labels and are not leaderboard samples. No repeated-measurement experimental series is available, so v1.1 does not claim real-noise calibration. Atomic occupancy can remain non-identifiable from powder XRD even when the underlying computational structures differ. Repeated-measurement import and noise calibration are v1.2 release requirements.
Gamma-Decomp is not a benchmark for elemental site occupancy, phase-fraction thermodynamics, or experimental lattice-misfit inference. Its exact component truth exists because the mixtures are generated by a recorded forward model.
The immutable source is /home/GJM/data/hea/benchmark_v1; v1.1 artifacts are
written only below /home/GJM/data/hea/benchmark_v1_1.
- Downloads last month
- 158