scorecard
calibration-scorecards
Prediction Market Calibration Scorecards
Monthly Brier + log-loss calibration breakdowns for Kalshi + Polymarket. Each month provides mean Brier, mean log-loss, per-venue and per-category breakdowns, and a 10-bucket calibration histogram (actual vs predicted). Published with a 14-day delay after month-end to capture late resolutions.
License and Use
This dataset is released under Creative Commons Attribution 4.0 International
(CC-BY-4.0;… See the full description on the dataset page: https://huggingface.co/datasets/SimpleFunctions/calibration-scorecards.us-college-scorecard-2022ceo-pay-scorecard
CEO Pay-vs-Delivery Scorecard: S&P 500 v2.2
A frozen, reproducible dataset for a descriptive audit of granted compensation, Compensation Actually Paid and shareholder return across a dated S&P 500 universe.
AI disclosure: the research is the author's; this text was drafted with AI assistance and reviewed by the author. The model, and the conflict it creates, are named in the Conflict of interest section below.
Author: NM AI Research, ORCID 0009-0003-4213-7769
Canonical concept… See the full description on the dataset page: https://huggingface.co/datasets/NMAIResearch/ceo-pay-scorecard.production-readiness-scorecards
SHAR Production Readiness Scorecards
This dataset by SHAR Production contains 100 deterministic synthetic scenarios for 25 bilingual weighted production readiness scorecards. Each scorecard exposes eight criteria with weights totaling 100 and returns READY, CONDITIONAL, or HOLD.
scenarios.jsonl contains inputs, expected scores, expected decisions and reproduced results. catalog.json contains the bilingual scorecard definitions.
Synthetic scenarios and results use CC-BY-4.0. The… See the full description on the dataset page: https://huggingface.co/datasets/SHARProduction/production-readiness-scorecards.forecast-scorecard
AI Energy-Demand Forecast Scorecard
A reproducible audit of how the field forecasts data-centre electricity demand: how the published forecasts disperse, how they get revised, and whether they are transparent enough to reproduce. Primary-sourced, published with the data and a script that regenerates every figure.
AI disclosure: the research is the author's; this text was drafted with AI assistance and reviewed by the author. The model, and the conflict it creates, are named in… See the full description on the dataset page: https://huggingface.co/datasets/NMAIResearch/forecast-scorecard.vehicle-reliability-scorecard
Vehicle Reliability Scorecard
One row per vehicle (year + make + model) with its ProblemsByVin reliability score, total NHTSA complaints, recalls, and defect investigations, plus the single component owners complain about most. The master index across the whole tracked fleet — the flat table to join every other dataset to.
Columns
column
meaning
year
Model year
make
Manufacturer
model
Model
reliability_score
1.0 (worst) – 5.0 (best); shown on site… See the full description on the dataset page: https://huggingface.co/datasets/ProblemsByVin/vehicle-reliability-scorecard.