datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
home-credit-credit-risk-model-stability
Home Credit - Credit Risk Model Stability (Processed)
Processed subset of the Home Credit - Credit Risk Model Stability Kaggle competition dataset, prepared for the RWDS article on information-theoretic foundations of WoE, IV, and PSI.
Dataset
Rows: 522,596 loan applications
Columns: 48 (32 predictors + target + metadata + 11 applicant/CB attributes)
Source tables: train_base, train_static_0_1 (depth=0, internal), train_static_cb_0 (depth=0, external), train_person_1… See the full description on the dataset page: https://huggingface.co/datasets/deburky/home-credit-credit-risk-model-stability.nigeria-craton-borehole-stability
Nigeria Borehole -> Craton Stability Model
Exploratory Poisson regression relating historical seismic activity in Nigeria to
geophysical features (gravity, magnetic anomaly, elevation, fault distance, basement
lithology) plus an estimated borehole-density covariate.
Important limitations
Borehole density is a modeled proxy (inverse-distance-weighted from major cities,
scaled to a national total extrapolated from a 2013 BGS/JICA estimate of ~65,000
boreholes), not… See the full description on the dataset page: https://huggingface.co/datasets/NoraResearchLab/nigeria-craton-borehole-stability.rna-stability-siegel
Overview
This dataset contains 3' UTR fragment measurements from the fast-UTR
massively parallel reporter assay reported by Siegel et al. The source library
contains 41,255 sequences tested in Jurkat T cells and BEAS-2B airway
epithelial cells. Each configuration retains rows with a T4 stability target,
a T4 effect target, or a reference needed to pair a measured effect. The
library contains native human 3' UTR fragments, natural variants, and designed
mutations of regulatory… See the full description on the dataset page: https://huggingface.co/datasets/morrislab/rna-stability-siegel.prof_report__stabilityai-stable-diffusion-2-1-base__multi__24
Dataset Card for "prof_report__stabilityai-stable-diffusion-2-1-base__multi__24"
More Information needed
stabilityai__stablelm-2-zephyr-1_6bstabilityai__stablelm-2-12b-chatstabilityai__stablelm-zephyr-3bdataset_perovskite_stability_updated
Machine Learning Design of Perovskite Catalytic Properties
Dataset containing 2844 perovskite stability data points from DFT
Dataset Information
Source: Foundry-ML
DOI: 10.18126/xcye-zy28
Year: 2023
Authors: Jacobs, Ryan, Liu, Jian, Abernathy, Harry, Morgan, Dane
Data Type: tabular
Fields
Field
Role
Description
Units
composition
input
Material composition with sites
composition (no brackets)
input
Material composition
O pband (eV)
input… See the full description on the dataset page: https://huggingface.co/datasets/foundry-ml/dataset_perovskite_stability_updated.TAPE_stability_clustersmodel-reliability-benchmark
Model Reliability Benchmark
Neural network benchmark data for ML research.
Usage
from datasets import load_dataset
dataset = load_dataset("nn-stability-research/model-reliability-benchmark")
df = dataset["train"].to_pandas()
Or use the provided loader:
from loader import load_data
df = load_data()
Schema
Metrics
Column
Type
Description
activation_diversity
float
Normalized metric
gradient_consistency
float
Normalized metric… See the full description on the dataset page: https://huggingface.co/datasets/nn-stability-research/model-reliability-benchmark.FECA_ECOLI_Tsuboyama_2023_2D1U_substitutions_singles_stability_PE_REGRstabilityai__stablelm-2-1_6b-chatperovskite_stability_v1-1
Predicting the thermodynamic stability of perovskite oxides using machine learning models
Dataset containing DFT-calculated stabilities (as convex hull energies) of 1929 perovskite oxides
Dataset Information
Source: Foundry-ML
DOI: 10.18126/qe5y-2dnz
Year: 2022
Authors: Li, Wei, Jacobs, Ryan, Morgan, Dane
Data Type: tabular
Fields
Field
Role
Description
Units
Material Composition
input
Perovskite composition
EnergyAboveHull
target
DFT-calculated… See the full description on the dataset page: https://huggingface.co/datasets/foundry-ml/perovskite_stability_v1-1.RL20_AQUAE_Tsuboyama_2023_1GYZ_substitutions_singles_stability_PE_REGRthermodynamic-phase-records
Thermodynamic Phase Records
Thermodynamic stability measurements from laboratory experiments.
Usage
from datasets import load_dataset
dataset = load_dataset("thermo-stability-proj/thermodynamic-phase-records")
df = dataset["train"].to_pandas()
Or use the provided loader:
from loader import load_data
df = load_data()
Schema
Metrics
Column
Type
Description
microstate_count
float
Normalized metric
entropy_production
float… See the full description on the dataset page: https://huggingface.co/datasets/thermo-stability-proj/thermodynamic-phase-records.