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--- |
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dataset_name: inference_debt_scanner_v01 |
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pretty_name: Inference Debt Scanner (v0.1) |
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license: mit |
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language: en |
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tags: |
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- clarus |
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- reasoning |
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- epistemic-safety |
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- bias-detection |
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- forecast-analysis |
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task_categories: |
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- text-classification |
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- multiple-choice |
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size_categories: |
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- n<1K |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: inference_debt_scanner_v01.csv |
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--- |
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# Inference Debt Scanner (v0.1) |
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This dataset checks when a model spends **inference debt**: |
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making claims that outrun its evidence. |
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Each row marks: |
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- the risky claim fragment |
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- the type of inference being made |
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- the signal that the claim is overextended |
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- the action a careful model should take |
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The aim is simple: |
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turn lazy certainty into clear, traceable reasoning. |
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