From b8930f1d74b1291715c01ee6c789f04dba7ddf5c Mon Sep 17 00:00:00 2001 From: Matteo Meucci Date: Thu, 20 Nov 2025 23:17:38 +0100 Subject: [PATCH] Update AITG-DAT-03_Testing_for_Dataset_Diversity_and_Coverage.md --- ...-03_Testing_for_Dataset_Diversity_and_Coverage.md | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/Document/content/tests/AITG-DAT-03_Testing_for_Dataset_Diversity_and_Coverage.md b/Document/content/tests/AITG-DAT-03_Testing_for_Dataset_Diversity_and_Coverage.md index badfad0..55bcb3a 100644 --- a/Document/content/tests/AITG-DAT-03_Testing_for_Dataset_Diversity_and_Coverage.md +++ b/Document/content/tests/AITG-DAT-03_Testing_for_Dataset_Diversity_and_Coverage.md @@ -15,18 +15,18 @@ Dataset Diversity & Coverage testing ensures that AI training and evaluation dat **1. Demographic and Population Representation Analysis** -Test: Conduct statistical analyses to compare dataset demographic distribution with real-world demographics. -Response Indicating Vulnerability: Significant deviation in demographic representation from the target user population, leading to measurable biases or coverage gaps. +- Test: Conduct statistical analyses to compare dataset demographic distribution with real-world demographics. +- Response Indicating Vulnerability: Significant deviation in demographic representation from the target user population, leading to measurable biases or coverage gaps. **2. Scenario and Contextual Coverage Test** -Test: Evaluate the dataset for completeness and variety of real-world scenarios relevant to the model’s intended usage. -Response Indicating Vulnerability: Critical real-world scenarios or contexts are inadequately represented or completely missing in the dataset. +- Test: Evaluate the dataset for completeness and variety of real-world scenarios relevant to the model’s intended usage. +- Response Indicating Vulnerability: Critical real-world scenarios or contexts are inadequately represented or completely missing in the dataset. **3. Bias Detection and Fairness Analysis** -Test: Utilize bias detection tools and fairness metrics (e.g., demographic parity, equal opportunity) on datasets. -Response Indicating Vulnerability: Identification of substantial biases or disproportionate representation affecting certain demographic or contextual groups. +- Test: Utilize bias detection tools and fairness metrics (e.g., demographic parity, equal opportunity) on datasets. +- Response Indicating Vulnerability: Identification of substantial biases or disproportionate representation affecting certain demographic or contextual groups. ### Expected Output