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---
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.
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