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diff --git a/site/public/datasets/vgg_face2/index.html b/site/public/datasets/vgg_face2/index.html
index e23a3afd..a9d318f1 100644
--- a/site/public/datasets/vgg_face2/index.html
+++ b/site/public/datasets/vgg_face2/index.html
@@ -48,9 +48,59 @@
</div><div class='meta'>
<div class='gray'>Website</div>
<div><a href='https://purl.stanford.edu/sx925dc9385' target='_blank' rel='nofollow noopener'>stanford.edu</a></div>
- </div><p>[ page under development ]</p>
-<p>{% include 'dashboard.html' %}</p>
-<h3>(ignore) research notes</h3>
+ </div></div><p>[ page under development ]</p>
+</section><section>
+ <h3>Who used Brainwash Dataset?</h3>
+
+ <p>
+ This bar chart presents a ranking of the top countries where dataset citations originated. Mouse over individual columns to see yearly totals. These charts show at most the top 10 countries.
+ </p>
+
+ </section>
+
+<section class="applet_container">
+<!-- <div style="position: absolute;top: 0px;right: -55px;width: 180px;font-size: 14px;">Labeled Faces in the Wild Dataset<br><span class="numc" style="font-size: 11px;">20 citations</span>
+</div> -->
+ <div class="applet" data-payload="{&quot;command&quot;: &quot;chart&quot;}"></div>
+</section>
+
+<section class="applet_container">
+ <div class="applet" data-payload="{&quot;command&quot;: &quot;piechart&quot;}"></div>
+</section>
+
+<section>
+
+ <h3>Biometric Trade Routes</h3>
+
+ <p>
+ To help understand how Brainwash Dataset has been used around the world by commercial, military, and academic organizations; existing publicly available research citing Brainwash Dataset was collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal research projects at that location.
+ </p>
+
+ </section>
+
+<section class="applet_container fullwidth">
+ <div class="applet" data-payload="{&quot;command&quot;: &quot;map&quot;}"></div>
+</section>
+
+<div class="caption">
+ <ul class="map-legend">
+ <li class="edu">Academic</li>
+ <li class="com">Commercial</li>
+ <li class="gov">Military / Government</li>
+ </ul>
+ <div class="source">Citation data is collected using <a href="https://semanticscholar.org" target="_blank">SemanticScholar.org</a> then dataset usage verified and geolocated.</div >
+</div>
+
+
+<section class="applet_container">
+
+ <h3>Dataset Citations</h3>
+ <p>
+ The dataset citations used in the visualizations were collected from <a href="https://www.semanticscholar.org">Semantic Scholar</a>, a website which aggregates and indexes research papers. Each citation was geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train or test machine learning algorithms.
+ </p>
+
+ <div class="applet" data-payload="{&quot;command&quot;: &quot;citations&quot;}"></div>
+</section><section><h3>(ignore) research notes</h3>
<ul>
<li>The VGG Face 2 dataset includes approximately 1,331 actresses, 139 presidents, 16 wives, 3 husbands, 2 snooker player, and 1 guru</li>
<li>The original VGGF2 name list has been updated with the results returned from Google Knowledge</li>
@@ -58,7 +108,7 @@
<li>The 97 names with a score of 0.75 or lower were manually reviewed and includes name changes validating using Wikipedia.org results for names such as "Bruce Jenner" to "Caitlyn Jenner", spousal last-name changes, and discretionary changes to improve search results such as combining nicknames with full name when appropriate, for example changing "Aleksandar Petrović" to "Aleksandar 'Aco' Petrović" and minor changes such as "Mohammad Ali" to "Muhammad Ali"</li>
<li>The 'Description' text was automatically added when the Knowledge Graph score was greater than 250</li>
</ul>
-</div><h2>TODO</h2>
+<h2>TODO</h2>
<ul>
<li>create name list, and populate with Knowledge graph information like LFW</li>
<li>make list of interesting number stats, by the numbers</li>