---
dataset_name: inference_debt_scanner_v01
pretty_name: Inference Debt Scanner (v0.1)
license: mit
language: en
tags:
  - clarus
  - reasoning
  - epistemic-safety
  - bias-detection
  - forecast-analysis
task_categories:
  - text-classification
  - multiple-choice
size_categories:
  - n<1K
configs:
- config_name: default
  data_files:
    - split: train
      path: inference_debt_scanner_v01.csv
---

# Inference Debt Scanner (v0.1)

This dataset checks when a model spends **inference debt**:
making claims that outrun its evidence.

Each row marks:
- the risky claim fragment
- the type of inference being made
- the signal that the claim is overextended
- the action a careful model should take

The aim is simple:
turn lazy certainty into clear, traceable reasoning.