rebuild

14 files changed, 108 insertions, 30 deletions

diff --git a/site/includes/chart.html b/site/includes/chart.html
index 913e09b2..d5ca5e47 100644
--- a/site/includes/chart.html
+++ b/site/includes/chart.html
@@ -3,7 +3,7 @@
 
   <p>
     This bar chart presents a ranking of the top countries where citations originated.  Mouse over individual columns
-    to see yearly totals.  Colors are only assigned to the top 10 overall countries.
+    to see yearly totals.  These charts show only the top 10 countries overall.
   </p>
  
  </section>
diff --git a/site/includes/citations.html b/site/includes/citations.html
index a6aed039..b3d207c1 100644
--- a/site/includes/citations.html
+++ b/site/includes/citations.html
@@ -3,7 +3,7 @@
   <h3>Citations</h3>
   <p>
     Citations were collected from <a href="https://www.semanticscholar.org">Semantic Scholar</a>, a website which aggregates
-    and indexes research papers.  Metadata was extracted from these papers, including extracting names of institutions automatically from PDFs, and then the addresses were geocoded.  Data is not yet manually verified, and reflects anytime the paper was cited.  Some papers may only mention the dataset in passing, while others use it as part of their research methodology.
+    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 and/or test machine learning algorithms.
   </p>
   <p>
     Add button/link to download CSV
diff --git a/site/includes/map.html b/site/includes/map.html
index db36d4ee..14fec2f1 100644
--- a/site/includes/map.html
+++ b/site/includes/map.html
@@ -26,7 +26,7 @@
 	<div class="map-legend-item edu">Academic</div>
 	<div class="map-legend-item com">Industry</div>
 	<div class="map-legend-item gov">Government</div> 
-	Data is compiled from <a href="https://www.semanticscholar.org">Semantic Scholar</a> and not yet manually verified.
+	Data is compiled from <a href="https://www.semanticscholar.org">Semantic Scholar</a> and has been manually verified to show usage of {{ metadata.meta.dataset.name_display }}.
 </div>
 
 <section>
diff --git a/site/public/datasets/50_people_one_question/index.html b/site/public/datasets/50_people_one_question/index.html
index 73f9be97..bded7fbd 100644
--- a/site/public/datasets/50_people_one_question/index.html
+++ b/site/public/datasets/50_people_one_question/index.html
@@ -59,7 +59,7 @@
 	<div class="map-legend-item edu">Academic</div>
 	<div class="map-legend-item com">Industry</div>
 	<div class="map-legend-item gov">Government</div> 
-	Data is compiled from <a href="https://www.semanticscholar.org">Semantic Scholar</a> and not yet manually verified.
+	Data is compiled from <a href="https://www.semanticscholar.org">Semantic Scholar</a> and has been manually verified to show usage of 50 People One Question Dataset.
 </div>
 
 <section>
@@ -80,7 +80,7 @@
   <h3>Citations</h3>
   <p>
     Citations were collected from <a href="https://www.semanticscholar.org">Semantic Scholar</a>, a website which aggregates
-    and indexes research papers.  Metadata was extracted from these papers, including extracting names of institutions automatically from PDFs, and then the addresses were geocoded.  Data is not yet manually verified, and reflects anytime the paper was cited.  Some papers may only mention the dataset in passing, while others use it as part of their research methodology.
+    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 and/or test machine learning algorithms.
   </p>
   <p>
     Add button/link to download CSV
diff --git a/site/public/datasets/brainwash/index.html b/site/public/datasets/brainwash/index.html
index 64dcdda7..c0479a17 100644
--- a/site/public/datasets/brainwash/index.html
+++ b/site/public/datasets/brainwash/index.html
@@ -37,7 +37,7 @@
 
   <p>
     This bar chart presents a ranking of the top countries where citations originated.  Mouse over individual columns
-    to see yearly totals.  Colors are only assigned to the top 10 overall countries.
+    to see yearly totals.  These charts show only the top 10 countries overall.
   </p>
  
  </section>
@@ -45,6 +45,15 @@
 <section class="applet_container">
  <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">
+ <div class="applet" data-payload="{&quot;command&quot;: &quot;piechart&quot;}"></div>
+</section><section>
 	
 	<h3>Information Supply Chain</h3>
 <!-- 
@@ -72,7 +81,7 @@
 	<div class="map-legend-item edu">Academic</div>
 	<div class="map-legend-item com">Industry</div>
 	<div class="map-legend-item gov">Government</div> 
-	Data is compiled from <a href="https://www.semanticscholar.org">Semantic Scholar</a> and not yet manually verified.
+	Data is compiled from <a href="https://www.semanticscholar.org">Semantic Scholar</a> and has been manually verified to show usage of Brainwash Dataset.
 </div>
 
 <section>
@@ -94,7 +103,7 @@
   <h3>Citations</h3>
   <p>
     Citations were collected from <a href="https://www.semanticscholar.org">Semantic Scholar</a>, a website which aggregates
-    and indexes research papers.  Metadata was extracted from these papers, including extracting names of institutions automatically from PDFs, and then the addresses were geocoded.  Data is not yet manually verified, and reflects anytime the paper was cited.  Some papers may only mention the dataset in passing, while others use it as part of their research methodology.
+    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 and/or test machine learning algorithms.
   </p>
   <p>
     Add button/link to download CSV
diff --git a/site/public/datasets/celeba/index.html b/site/public/datasets/celeba/index.html
index 50e460b7..09347f10 100644
--- a/site/public/datasets/celeba/index.html
+++ b/site/public/datasets/celeba/index.html
@@ -59,7 +59,7 @@
 	<div class="map-legend-item edu">Academic</div>
 	<div class="map-legend-item com">Industry</div>
 	<div class="map-legend-item gov">Government</div> 
-	Data is compiled from <a href="https://www.semanticscholar.org">Semantic Scholar</a> and not yet manually verified.
+	Data is compiled from <a href="https://www.semanticscholar.org">Semantic Scholar</a> and has been manually verified to show usage of CelebA Dataset.
 </div>
 
 <section>
@@ -80,7 +80,7 @@
   <h3>Citations</h3>
   <p>
     Citations were collected from <a href="https://www.semanticscholar.org">Semantic Scholar</a>, a website which aggregates
-    and indexes research papers.  Metadata was extracted from these papers, including extracting names of institutions automatically from PDFs, and then the addresses were geocoded.  Data is not yet manually verified, and reflects anytime the paper was cited.  Some papers may only mention the dataset in passing, while others use it as part of their research methodology.
+    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 and/or test machine learning algorithms.
   </p>
   <p>
     Add button/link to download CSV
diff --git a/site/public/datasets/cofw/index.html b/site/public/datasets/cofw/index.html
index 31c577a2..3cc49db8 100644
--- a/site/public/datasets/cofw/index.html
+++ b/site/public/datasets/cofw/index.html
@@ -69,7 +69,7 @@ To increase the number of training images, and since  COFW has the exact same la
 	<div class="map-legend-item edu">Academic</div>
 	<div class="map-legend-item com">Industry</div>
 	<div class="map-legend-item gov">Government</div> 
-	Data is compiled from <a href="https://www.semanticscholar.org">Semantic Scholar</a> and not yet manually verified.
+	Data is compiled from <a href="https://www.semanticscholar.org">Semantic Scholar</a> and has been manually verified to show usage of COFW Dataset.
 </div>
 
 <section>
@@ -90,7 +90,7 @@ To increase the number of training images, and since  COFW has the exact same la
   <h3>Citations</h3>
   <p>
     Citations were collected from <a href="https://www.semanticscholar.org">Semantic Scholar</a>, a website which aggregates
-    and indexes research papers.  Metadata was extracted from these papers, including extracting names of institutions automatically from PDFs, and then the addresses were geocoded.  Data is not yet manually verified, and reflects anytime the paper was cited.  Some papers may only mention the dataset in passing, while others use it as part of their research methodology.
+    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 and/or test machine learning algorithms.
   </p>
   <p>
     Add button/link to download CSV
@@ -102,7 +102,7 @@ To increase the number of training images, and since  COFW has the exact same la
 
   <p>
     This bar chart presents a ranking of the top countries where citations originated.  Mouse over individual columns
-    to see yearly totals.  Colors are only assigned to the top 10 overall countries.
+    to see yearly totals.  These charts show only the top 10 countries overall.
   </p>
  
  </section>
diff --git a/site/public/datasets/duke_mtmc/index.html b/site/public/datasets/duke_mtmc/index.html
index 40eb8c7e..3e0b6eb5 100644
--- a/site/public/datasets/duke_mtmc/index.html
+++ b/site/public/datasets/duke_mtmc/index.html
@@ -57,7 +57,7 @@
 	<div class="map-legend-item edu">Academic</div>
 	<div class="map-legend-item com">Industry</div>
 	<div class="map-legend-item gov">Government</div> 
-	Data is compiled from <a href="https://www.semanticscholar.org">Semantic Scholar</a> and not yet manually verified.
+	Data is compiled from <a href="https://www.semanticscholar.org">Semantic Scholar</a> and has been manually verified to show usage of Duke MTMC Dataset.
 </div>
 
 <section>
@@ -65,6 +65,27 @@
 		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>
+  <h3>Who used Duke MTMC Dataset?</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 only the top 10 countries overall.
+  </p>
+ 
+ </section>
+
+<section class="applet_container">
+ <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">
+ <div class="applet" data-payload="{&quot;command&quot;: &quot;piechart&quot;}"></div>
+</section><section>
 
 
   <div class="hr-wave-holder">
@@ -78,7 +99,7 @@
   <h3>Citations</h3>
   <p>
     Citations were collected from <a href="https://www.semanticscholar.org">Semantic Scholar</a>, a website which aggregates
-    and indexes research papers.  Metadata was extracted from these papers, including extracting names of institutions automatically from PDFs, and then the addresses were geocoded.  Data is not yet manually verified, and reflects anytime the paper was cited.  Some papers may only mention the dataset in passing, while others use it as part of their research methodology.
+    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 and/or test machine learning algorithms.
   </p>
   <p>
     Add button/link to download CSV
diff --git a/site/public/datasets/hrt_transgender/index.html b/site/public/datasets/hrt_transgender/index.html
index 5211ac7e..8ebc063e 100644
--- a/site/public/datasets/hrt_transgender/index.html
+++ b/site/public/datasets/hrt_transgender/index.html
@@ -33,7 +33,7 @@
 
   <p>
     This bar chart presents a ranking of the top countries where citations originated.  Mouse over individual columns
-    to see yearly totals.  Colors are only assigned to the top 10 overall countries.
+    to see yearly totals.  These charts show only the top 10 countries overall.
   </p>
  
  </section>
@@ -41,6 +41,15 @@
 <section class="applet_container">
  <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">
+ <div class="applet" data-payload="{&quot;command&quot;: &quot;piechart&quot;}"></div>
+</section><section>
 	
 	<h3>Information Supply Chain</h3>
 <!-- 
@@ -68,7 +77,7 @@
 	<div class="map-legend-item edu">Academic</div>
 	<div class="map-legend-item com">Industry</div>
 	<div class="map-legend-item gov">Government</div> 
-	Data is compiled from <a href="https://www.semanticscholar.org">Semantic Scholar</a> and not yet manually verified.
+	Data is compiled from <a href="https://www.semanticscholar.org">Semantic Scholar</a> and has been manually verified to show usage of HRT Transgender.
 </div>
 
 <section>
@@ -89,7 +98,7 @@
   <h3>Citations</h3>
   <p>
     Citations were collected from <a href="https://www.semanticscholar.org">Semantic Scholar</a>, a website which aggregates
-    and indexes research papers.  Metadata was extracted from these papers, including extracting names of institutions automatically from PDFs, and then the addresses were geocoded.  Data is not yet manually verified, and reflects anytime the paper was cited.  Some papers may only mention the dataset in passing, while others use it as part of their research methodology.
+    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 and/or test machine learning algorithms.
   </p>
   <p>
     Add button/link to download CSV
diff --git a/site/public/datasets/lfw/index.html b/site/public/datasets/lfw/index.html
index 7e3a1bd5..199d7d57 100644
--- a/site/public/datasets/lfw/index.html
+++ b/site/public/datasets/lfw/index.html
@@ -72,7 +72,7 @@
 	<div class="map-legend-item edu">Academic</div>
 	<div class="map-legend-item com">Industry</div>
 	<div class="map-legend-item gov">Government</div> 
-	Data is compiled from <a href="https://www.semanticscholar.org">Semantic Scholar</a> and not yet manually verified.
+	Data is compiled from <a href="https://www.semanticscholar.org">Semantic Scholar</a> and has been manually verified to show usage of LFW.
 </div>
 
 <section>
@@ -84,7 +84,7 @@
 
   <p>
     This bar chart presents a ranking of the top countries where citations originated.  Mouse over individual columns
-    to see yearly totals.  Colors are only assigned to the top 10 overall countries.
+    to see yearly totals.  These charts show only the top 10 countries overall.
   </p>
  
  </section>
@@ -92,6 +92,15 @@
 <section class="applet_container">
  <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">
+ <div class="applet" data-payload="{&quot;command&quot;: &quot;piechart&quot;}"></div>
+</section><section>
 
 
   <div class="hr-wave-holder">
@@ -105,7 +114,7 @@
   <h3>Citations</h3>
   <p>
     Citations were collected from <a href="https://www.semanticscholar.org">Semantic Scholar</a>, a website which aggregates
-    and indexes research papers.  Metadata was extracted from these papers, including extracting names of institutions automatically from PDFs, and then the addresses were geocoded.  Data is not yet manually verified, and reflects anytime the paper was cited.  Some papers may only mention the dataset in passing, while others use it as part of their research methodology.
+    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 and/or test machine learning algorithms.
   </p>
   <p>
     Add button/link to download CSV
diff --git a/site/public/datasets/market_1501/index.html b/site/public/datasets/market_1501/index.html
index 2d357f47..a80c23fa 100644
--- a/site/public/datasets/market_1501/index.html
+++ b/site/public/datasets/market_1501/index.html
@@ -57,7 +57,7 @@
 	<div class="map-legend-item edu">Academic</div>
 	<div class="map-legend-item com">Industry</div>
 	<div class="map-legend-item gov">Government</div> 
-	Data is compiled from <a href="https://www.semanticscholar.org">Semantic Scholar</a> and not yet manually verified.
+	Data is compiled from <a href="https://www.semanticscholar.org">Semantic Scholar</a> and has been manually verified to show usage of Market 1501.
 </div>
 
 <section>
@@ -78,7 +78,7 @@
   <h3>Citations</h3>
   <p>
     Citations were collected from <a href="https://www.semanticscholar.org">Semantic Scholar</a>, a website which aggregates
-    and indexes research papers.  Metadata was extracted from these papers, including extracting names of institutions automatically from PDFs, and then the addresses were geocoded.  Data is not yet manually verified, and reflects anytime the paper was cited.  Some papers may only mention the dataset in passing, while others use it as part of their research methodology.
+    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 and/or test machine learning algorithms.
   </p>
   <p>
     Add button/link to download CSV
diff --git a/site/public/datasets/pipa/index.html b/site/public/datasets/pipa/index.html
index dca75724..62754070 100644
--- a/site/public/datasets/pipa/index.html
+++ b/site/public/datasets/pipa/index.html
@@ -57,7 +57,7 @@
 	<div class="map-legend-item edu">Academic</div>
 	<div class="map-legend-item com">Industry</div>
 	<div class="map-legend-item gov">Government</div> 
-	Data is compiled from <a href="https://www.semanticscholar.org">Semantic Scholar</a> and not yet manually verified.
+	Data is compiled from <a href="https://www.semanticscholar.org">Semantic Scholar</a> and has been manually verified to show usage of PIPA Dataset.
 </div>
 
 <section>
@@ -78,7 +78,7 @@
   <h3>Citations</h3>
   <p>
     Citations were collected from <a href="https://www.semanticscholar.org">Semantic Scholar</a>, a website which aggregates
-    and indexes research papers.  Metadata was extracted from these papers, including extracting names of institutions automatically from PDFs, and then the addresses were geocoded.  Data is not yet manually verified, and reflects anytime the paper was cited.  Some papers may only mention the dataset in passing, while others use it as part of their research methodology.
+    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 and/or test machine learning algorithms.
   </p>
   <p>
     Add button/link to download CSV
diff --git a/site/public/datasets/uccs/index.html b/site/public/datasets/uccs/index.html
index 336d5f01..0282902c 100644
--- a/site/public/datasets/uccs/index.html
+++ b/site/public/datasets/uccs/index.html
@@ -57,7 +57,7 @@
 	<div class="map-legend-item edu">Academic</div>
 	<div class="map-legend-item com">Industry</div>
 	<div class="map-legend-item gov">Government</div> 
-	Data is compiled from <a href="https://www.semanticscholar.org">Semantic Scholar</a> and not yet manually verified.
+	Data is compiled from <a href="https://www.semanticscholar.org">Semantic Scholar</a> and has been manually verified to show usage of UCCS.
 </div>
 
 <section>
@@ -65,6 +65,27 @@
 		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>
+  <h3>Who used UCCS?</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 only the top 10 countries overall.
+  </p>
+ 
+ </section>
+
+<section class="applet_container">
+ <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">
+ <div class="applet" data-payload="{&quot;command&quot;: &quot;piechart&quot;}"></div>
+</section><section>
 
 
   <div class="hr-wave-holder">
@@ -78,7 +99,7 @@
   <h3>Citations</h3>
   <p>
     Citations were collected from <a href="https://www.semanticscholar.org">Semantic Scholar</a>, a website which aggregates
-    and indexes research papers.  Metadata was extracted from these papers, including extracting names of institutions automatically from PDFs, and then the addresses were geocoded.  Data is not yet manually verified, and reflects anytime the paper was cited.  Some papers may only mention the dataset in passing, while others use it as part of their research methodology.
+    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 and/or test machine learning algorithms.
   </p>
   <p>
     Add button/link to download CSV
diff --git a/site/public/datasets/viper/index.html b/site/public/datasets/viper/index.html
index 1de17f57..eec9ca82 100644
--- a/site/public/datasets/viper/index.html
+++ b/site/public/datasets/viper/index.html
@@ -36,7 +36,7 @@
 
   <p>
     This bar chart presents a ranking of the top countries where citations originated.  Mouse over individual columns
-    to see yearly totals.  Colors are only assigned to the top 10 overall countries.
+    to see yearly totals.  These charts show only the top 10 countries overall.
   </p>
  
  </section>
@@ -44,6 +44,15 @@
 <section class="applet_container">
  <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">
+ <div class="applet" data-payload="{&quot;command&quot;: &quot;piechart&quot;}"></div>
+</section><section>
 	
 	<h3>Information Supply Chain</h3>
 <!-- 
@@ -71,7 +80,7 @@
 	<div class="map-legend-item edu">Academic</div>
 	<div class="map-legend-item com">Industry</div>
 	<div class="map-legend-item gov">Government</div> 
-	Data is compiled from <a href="https://www.semanticscholar.org">Semantic Scholar</a> and not yet manually verified.
+	Data is compiled from <a href="https://www.semanticscholar.org">Semantic Scholar</a> and has been manually verified to show usage of VIPeR.
 </div>
 
 <section>
@@ -92,7 +101,7 @@
   <h3>Citations</h3>
   <p>
     Citations were collected from <a href="https://www.semanticscholar.org">Semantic Scholar</a>, a website which aggregates
-    and indexes research papers.  Metadata was extracted from these papers, including extracting names of institutions automatically from PDFs, and then the addresses were geocoded.  Data is not yet manually verified, and reflects anytime the paper was cited.  Some papers may only mention the dataset in passing, while others use it as part of their research methodology.
+    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 and/or test machine learning algorithms.
   </p>
   <p>
     Add button/link to download CSV