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ClarusC64/epistemic-confidence-calibration-v0.1

What this dataset does This dataset tests whether a model can judge when high confidence is justified. The task is simple: Given a scenario and a confidence claim, predict whether the evidence supports high confidence. Core stability idea Reasoning fails when confidence rises faster than evidence quality. This dataset targets that failure mode. High confidence is justified when evidence is direct, repeated, independent, or clearly documented. High confidence is… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/epistemic-confidence-calibration-v0.1.

sourceHugging Facemitupdated 4mo agoView on Hugging Face
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44c444b4mo ago

Update README.md

ClarusC64
ff5ed4d4mo ago

Create scorer.py

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bebaecf4mo ago

Create data/test.csv

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c7339304mo ago

Create data/train.csv

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2db2d9d4mo ago

initial commit

ClarusC64