From 07dd05f733c8618ea8dc687f7a48a7add6f5a83b Mon Sep 17 00:00:00 2001
From: Jules Laplace <julescarbon@gmail.com>
Date: Mon, 1 Apr 2019 14:42:20 +0200
Subject: fix

---
 site/public/datasets/lfw/index.html | 37 +++++++++++++++----------------------
 1 file changed, 15 insertions(+), 22 deletions(-)

(limited to 'site/public/datasets/lfw/index.html')

diff --git a/site/public/datasets/lfw/index.html b/site/public/datasets/lfw/index.html
index 9cbf2e11..22384d77 100644
--- a/site/public/datasets/lfw/index.html
+++ b/site/public/datasets/lfw/index.html
@@ -46,7 +46,7 @@
 <p>The <em>Names and Faces</em> dataset was the first face recognition dataset created entire from online photos. However, <em>Names and Faces</em> and <em>LFW</em> are not the first face recognition dataset created entirely "in the wild". That title belongs to the <a href="/datasets/ucd_faces/">UCD dataset</a>. Images obtained "in the wild" means using an image without explicit consent or awareness from the subject or photographer.</p>
 </section><section>
 	
-	<h3>Information Supply Chain</h3>
+	<h3>Biometric Trade Routes</h3>
 <!-- 
 	<div class="map-sidebar right-sidebar">
 	  <h3>Legend</h3>
@@ -58,35 +58,35 @@
 	</div>
 	 -->
 	<p>
-		To understand how LFW has been used around the world...
-		affected global research on computer vision, surveillance, defense, and consumer technology, the and where this dataset has been used the locations of each organization that used or referenced the datast 
+		To help understand how LFW has been used around the world for commercial, military and academic research; publicly available research citing Labeled Faces in the Wild is collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal reserach projects at that location.
 	</p>
  
  </section>
 
-<section class="applet_container">
+<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">Industry</li>
-	<li class="gov">Government / Military</li>
+	<li class="com">Commercial</li>
+	<li class="gov">Military / Government</li>
 	<li class="source">Citation data is collected using <a href="https://semanticscholar.org" target="_blank">SemanticScholar.org</a> then dataset usage verified and geolocated.</li>
 	</ul>
 </div>
 
-<section>
+<!-- <section>
 	<p class='subp'>
 		[section under development] LFW ... Standardized paragraph of text about the map. Sed ut perspiciatis, unde omnis iste natus error sit voluptatem accusantium doloremque laudantium, totam rem aperiam eaque ipsa, quae ab illo inventore veritatis et quasi architecto beatae vitae dicta sunt, explicabo.
 	</p>
-</section><section>
+</section>
+ --><section>
   <h3>Who used LFW?</h3>
 
   <p>
-    This bar chart presents a ranking of the top countries where citations originated.  Mouse over individual columns
-    to see yearly totals.  These charts show at most the top 10 countries.
+    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>
@@ -95,14 +95,7 @@
 <!-- 	<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>
-  <p>
-    These pie charts show overall totals based on country and institution type.
-  </p>
- 
- </section>
-
-<section class="applet_container">
+</section><section class="applet_container">
  <div class="applet" data-payload="{&quot;command&quot;: &quot;piechart&quot;}"></div>
 </section><section>
 
@@ -112,13 +105,13 @@
       <div class="hr-wave-line hr-wave-line2"></div>
   </div>
 
-  <h2>Supplementary Information</h2>
+  <h3>Supplementary Information</h3>
+  
 </section><section class="applet_container">
 
-  <h3>Citations</h3>
+  <h3>Dataset Citations</h3>
   <p>
-    Citations were collected from <a href="https://www.semanticscholar.org">Semantic Scholar</a>, a website which aggregates
-    and indexes research papers.  The citations were 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.
+    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>
   <p>
     Add [button/link] to download CSV. Add search input field to filter.
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