datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
bank-model-risk-kg
Bank Model-Risk Knowledge Graph
520 nodes. 2,391 edges. A synthetic bank's entire model-risk inventory as a graph —
models, the data and assumptions behind them, their validations and findings, the regulations
that govern them, and the submissions and decisions they drive.
Built with Samyama Graph.
Generator and loader: samyama-ai/bank-model-risk-kg.
Entirely synthetic — this is the point, not a caveat
Every record here is generated. It represents no real… See the full description on the dataset page: https://huggingface.co/datasets/VaidhyaMegha/bank-model-risk-kg.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.model-risk-awareness-v0.1
What this dataset does
This dataset tests whether a model can recognize model risk.
The task is simple:
Given a scenario and a model-risk-awareness claim, predict whether the claim is supported.
Core stability idea
Every model is incomplete.
Model-risk awareness means recognizing:
uncertainty
assumptions
blind spots
limited coverage
domain transfer risk
confidence calibration
evidence quality
Systems lacking model-risk awareness often become overconfident and brittle.… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/model-risk-awareness-v0.1.economic_resilience_risk_modelEconomic Resilience & Risk-Adjusted Growth Dataset (Neutral Benchmark)
Overview
This dataset provides a structured analysis of economic resilience, risk-adjusted capital allocation, and market adaptability across 10,000 simulated agents. The data models two primary capital allocation strategies under varying economic conditions:
Expansive Growth Agents: Prioritizing market share maximization and high-risk, high-reward expansion.
Sustainable Efficiency Agents: Emphasizing allocative efficiency… See the full description on the dataset page: https://huggingface.co/datasets/Kickmuncher/economic_resilience_risk_model.