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Wiki-based Communities of Interest: Demographics and Outliers

<p>These datasets contains&nbsp;statements about demographics and outliers&nbsp;of Wiki-based Communities of Interest.&nbsp;</p> <p><strong>Group-centric dataset (sample):</strong></p> <pre><code class="language-json">{ "title": "winners of Priestley Medal", "recorded_members": 83, "topics": ["STEM.Chemistry"], "demographics": [ "occupation-chemist", "gender-male", "citizen-U.S." ], "outliers": [ { "reason": "NOT(chemist) unlike 82 recorded members", "members": [ "Francis Garvan (lawyer, art collector)" ] }, { "reason": "NOT(male) unlike 80 recorded members", "members": [ "Mary L. Good (female)", "Darleane Hoffman (female)", "Jacqueline Barton (female)" ] } ] }</code></pre> <p><strong>Subject-centric dataset (sample):</strong></p> <pre><code class="language-json">{ "subject": "Serena Williams", "statements": [ { "statement": "NOT(sport-basketball) but (tennis) unlike 4 recorded winners of Best Female Athlete ESPY Award.", "score": 0.36 }, { "statement": "NOT(occupation-politician) but (tennis player, businessperson, autobiographer) unlike 20 recorded winners of Michigan Women's Hall of Fame.", "score": 0.17 } ] }</code></pre> <p><strong>This data can be also browsed at:&nbsp;<a href="https://wikiknowledge.onrender.com/demographics/">https://wikiknowledge.onrender.com/demographics/</a></strong></p>

ShareScore

40/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
20
Reuse readiness
8
Engagement
0

Topics

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