From b8f5c87e823d0b68d5e30f8de453ba90dcadc241 Mon Sep 17 00:00:00 2001
From: Jules Laplace <julescarbon@gmail.com>
Date: Tue, 2 Apr 2019 14:38:27 +0200
Subject: sidebar from spreadsheet

---
 .../datasets/50_people_one_question/index.html     |  4 ++--
 site/public/datasets/brainwash/index.html          | 24 ++++++++++++++++++++--
 site/public/datasets/celeba/index.html             |  4 ++--
 site/public/datasets/cofw/index.html               |  4 ++--
 site/public/datasets/duke_mtmc/index.html          |  4 ++--
 site/public/datasets/facebook/index.html           |  3 ++-
 site/public/datasets/hrt_transgender/index.html    |  4 ++--
 site/public/datasets/lfw/index.html                |  4 ++--
 site/public/datasets/market_1501/index.html        |  4 ++--
 site/public/datasets/msceleb/index.html            |  4 ++--
 site/public/datasets/pipa/index.html               |  4 ++--
 site/public/datasets/uccs/index.html               |  4 ++--
 site/public/datasets/viper/index.html              |  4 ++--
 13 files changed, 46 insertions(+), 25 deletions(-)

(limited to 'site/public/datasets')

diff --git a/site/public/datasets/50_people_one_question/index.html b/site/public/datasets/50_people_one_question/index.html
index 540e2d0d..1b03fc7e 100644
--- a/site/public/datasets/50_people_one_question/index.html
+++ b/site/public/datasets/50_people_one_question/index.html
@@ -27,7 +27,8 @@
   <div class="content content-dataset">
     
   <section class='intro_section' style='background-image: url(https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/50_people_one_question/assets/background.jpg)'><div class='inner'><div class='hero_desc'><span class='bgpad'><span style="color:#ffaa00">People One Question</span> is a dataset of people from an online video series on YouTube and Vimeo used for building facial recogntion algorithms</span></div><div class='hero_subdesc'><span class='bgpad'>People One Question dataset includes ...
-</span></div></div></section><section><div class='left-sidebar'><div class='meta'><div><div class='gray'>Collected</div><div>TBD</div></div><div><div class='gray'>Published</div><div>TBD</div></div><div><div class='gray'>Images</div><div>TBD</div></div><div><div class='gray'>Faces</div><div>TBD</div></div></div></div><h2>50 People 1 Question</h2>
+</span></div></div></section><section><div class='left-sidebar'><p>{% include 'sidebar.html' %}</p>
+<div class='meta'><div><div class='gray'>Collected</div><div>TBD</div></div><div><div class='gray'>Published</div><div>TBD</div></div><div><div class='gray'>Images</div><div>TBD</div></div><div><div class='gray'>Faces</div><div>TBD</div></div></div></div><h2>50 People 1 Question</h2>
 <p>(PAGE UNDER DEVELOPMENT)</p>
 <p>At vero eos et accusamus et iusto odio dignissimos ducimus, qui blanditiis praesentium voluptatum deleniti atque corrupti, quos dolores et quas molestias excepturi sint, obcaecati cupiditate non-provident, similique sunt in culpa, qui officia deserunt mollitia animi, id est laborum et dolorum fuga. Et harum quidem rerum facilis est et expedita distinctio.</p>
 <p>Nam libero tempore, cum soluta nobis est eligendi optio, cumque nihil impedit, quo minus id, quod maxime placeat, facere possimus, omnis voluptas assumenda est, omnis dolor repellendus. Temporibus autem quibusdam et aut officiis debitis aut rerum necessitatibus saepe eveniet, ut et voluptates repudiandae sint et molestiae non-recusandae. Itaque earum rerum hic tenetur a sapiente delectus, ut aut reiciendis voluptatibus maiores alias consequatur aut perferendis doloribus asperiores repellat</p>
@@ -71,7 +72,6 @@
 </section>
  --><section>
 
-
   <div class="hr-wave-holder">
       <div class="hr-wave-line hr-wave-line1"></div>
       <div class="hr-wave-line hr-wave-line2"></div>
diff --git a/site/public/datasets/brainwash/index.html b/site/public/datasets/brainwash/index.html
index 5e8f3a4c..c0830a96 100644
--- a/site/public/datasets/brainwash/index.html
+++ b/site/public/datasets/brainwash/index.html
@@ -27,7 +27,28 @@
   <div class="content content-dataset">
     
   <section class='intro_section' style='background-image: url(https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/brainwash/assets/background.jpg)'><div class='inner'><div class='hero_desc'><span class='bgpad'>Brainwash is a dataset of webcam images taken from the Brainwash Cafe in San Francisco in 2014</span></div><div class='hero_subdesc'><span class='bgpad'>The Brainwash dataset includes 11,918 images of "everyday life of a busy downtown cafe" and is used for training head detection surveillance algorithms
-</span></div></div></section><section><div class='left-sidebar'><div class='meta'><div><div class='gray'>Published</div><div>2015</div></div><div><div class='gray'>Images</div><div>11,918</div></div><div><div class='gray'>Faces</div><div>91,146</div></div><div><div class='gray'>Created by</div><div>Stanford University (US)<br>Max Planck Institute for Informatics (DE)</div></div><div><div class='gray'>Funded by</div><div>Max Planck Center for Visual Computing and Communication</div></div><div><div class='gray'>Purpose</div><div>Head detection</div></div><div><div class='gray'>Download Size</div><div>4.1GB</div></div><div><div class='gray'>Website</div><div><a href="https://exhibits.stanford.edu/data/catalog/sx925dc9385">stanford.edu</a></div></div></div></div><h2>Brainwash Dataset</h2>
+</span></div></div></section><section><div class='left-sidebar'><div class='meta'>
+    <div class='gray'>Published</div>
+    <div>2015</div>
+  </div><div class='meta'>
+    <div class='gray'>Images</div>
+    <div>11,917 </div>
+  </div><div class='meta'>
+    <div class='gray'>Purpose</div>
+    <div>Head detection</div>
+  </div><div class='meta'>
+    <div class='gray'>Created by</div>
+    <div>Stanford University (US), Max Planck Institute for Informatics (DE)</div>
+  </div><div class='meta'>
+    <div class='gray'>Funded by</div>
+    <div>Max Planck Center for Visual Computing and Communication</div>
+  </div><div class='meta'>
+    <div class='gray'>Download Size</div>
+    <div>4.1 GB</div>
+  </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></div><h2>Brainwash Dataset</h2>
 <p><em>Brainwash</em> is a head detection dataset created from San Francisco's Brainwash Cafe livecam footage. It includes 11,918 images of "everyday life of a busy downtown cafe"<a class="footnote_shim" name="[^readme]_1"> </a><a href="#[^readme]" class="footnote" title="Footnote 1">1</a> captured at 100 second intervals throught the entire day. Brainwash dataset was captured during 3 days in 2014: October 27, November 13, and November 24. According the author's reserach paper introducing the dataset, the images were acquired with the help of Angelcam.com [cite orig paper].</p>
 <p>Brainwash is not a widely used dataset but since its publication by Stanford University in 2015, it has notably appeared in several research papers from the National University of Defense Technology in Changsha, China. In 2016 and in 2017 researchers there conducted studies on detecting people's heads in crowded scenes for the purpose of surveillance <a class="footnote_shim" name="[^localized_region_context]_1"> </a><a href="#[^localized_region_context]" class="footnote" title="Footnote 2">2</a> <a class="footnote_shim" name="[^replacement_algorithm]_1"> </a><a href="#[^replacement_algorithm]" class="footnote" title="Footnote 3">3</a>.</p>
 <p>If you happen to have been at Brainwash cafe in San Franscisco at any time on October 26, November 13, or November 24 in 2014 you are most likely included in the Brainwash dataset.</p>
@@ -94,7 +115,6 @@
   <div class="applet" data-payload="{&quot;command&quot;: &quot;citations&quot;}"></div>
 </section><section>
 
-
   <div class="hr-wave-holder">
       <div class="hr-wave-line hr-wave-line1"></div>
       <div class="hr-wave-line hr-wave-line2"></div>
diff --git a/site/public/datasets/celeba/index.html b/site/public/datasets/celeba/index.html
index f1ee0c22..ef7a3b27 100644
--- a/site/public/datasets/celeba/index.html
+++ b/site/public/datasets/celeba/index.html
@@ -27,7 +27,8 @@
   <div class="content content-dataset">
     
   <section class='intro_section' style='background-image: url(https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/celeba/assets/background.jpg)'><div class='inner'><div class='hero_desc'><span class='bgpad'><span style="color:#ffaa00">CelebA</span> is a dataset of people...</span></div><div class='hero_subdesc'><span class='bgpad'>CelebA includes...
-</span></div></div></section><section><div class='left-sidebar'><div class='meta'><div><div class='gray'>Collected</div><div>TBD</div></div><div><div class='gray'>Published</div><div>TBD</div></div><div><div class='gray'>Images</div><div>TBD</div></div><div><div class='gray'>Faces</div><div>TBD</div></div></div></div><h2>CelebA</h2>
+</span></div></div></section><section><div class='left-sidebar'><p>{% include 'sidebar.html' %}</p>
+<div class='meta'><div><div class='gray'>Collected</div><div>TBD</div></div><div><div class='gray'>Published</div><div>TBD</div></div><div><div class='gray'>Images</div><div>TBD</div></div><div><div class='gray'>Faces</div><div>TBD</div></div></div></div><h2>CelebA</h2>
 <p>(PAGE UNDER DEVELOPMENT)</p>
 <p>At vero eos et accusamus et iusto odio dignissimos ducimus, qui blanditiis praesentium voluptatum deleniti atque corrupti, quos dolores et quas molestias excepturi sint, obcaecati cupiditate non-provident, similique sunt in culpa, qui officia deserunt mollitia animi, id est laborum et dolorum fuga. Et harum quidem rerum facilis est et expedita distinctio.</p>
 <p>Nam libero tempore, cum soluta nobis est eligendi optio, cumque nihil impedit, quo minus id, quod maxime placeat, facere possimus, omnis voluptas assumenda est, omnis dolor repellendus. Temporibus autem quibusdam et aut officiis debitis aut rerum necessitatibus saepe eveniet, ut et voluptates repudiandae sint et molestiae non-recusandae. Itaque earum rerum hic tenetur a sapiente delectus, ut aut reiciendis voluptatibus maiores alias consequatur aut perferendis doloribus asperiores repellat</p>
@@ -71,7 +72,6 @@
 </section>
  --><section>
 
-
   <div class="hr-wave-holder">
       <div class="hr-wave-line hr-wave-line1"></div>
       <div class="hr-wave-line hr-wave-line2"></div>
diff --git a/site/public/datasets/cofw/index.html b/site/public/datasets/cofw/index.html
index 1f5aa315..3520aaa2 100644
--- a/site/public/datasets/cofw/index.html
+++ b/site/public/datasets/cofw/index.html
@@ -26,7 +26,8 @@
   </header>
   <div class="content content-">
     
-  <section><div class='left-sidebar'><div class='meta'><div><div class='gray'>Years</div><div>1993-1996</div></div><div><div class='gray'>Images</div><div>14,126</div></div><div><div class='gray'>Identities</div><div>1,199 </div></div><div><div class='gray'>Origin</div><div>Web Searches</div></div><div><div class='gray'>Funded by</div><div>ODNI, IARPA, Microsoft</div></div></div></div><h2>Caltech Occluded Faces in the Wild</h2>
+  <section><div class='left-sidebar'><p>{% include 'sidebar.html' %}</p>
+<div class='meta'><div><div class='gray'>Years</div><div>1993-1996</div></div><div><div class='gray'>Images</div><div>14,126</div></div><div><div class='gray'>Identities</div><div>1,199 </div></div><div><div class='gray'>Origin</div><div>Web Searches</div></div><div><div class='gray'>Funded by</div><div>ODNI, IARPA, Microsoft</div></div></div></div><h2>Caltech Occluded Faces in the Wild</h2>
 <p>(PAGE UNDER DEVELOPMENT)</p>
 <p>COFW is "is designed to benchmark face landmark algorithms in realistic conditions, which include heavy occlusions and large shape variations" [Robust face landmark estimation under occlusion].</p>
 <p>RESEARCH below this line</p>
@@ -81,7 +82,6 @@ To increase the number of training images, and since  COFW has the exact same la
 </section>
  --><section>
 
-
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       <div class="hr-wave-line hr-wave-line1"></div>
       <div class="hr-wave-line hr-wave-line2"></div>
diff --git a/site/public/datasets/duke_mtmc/index.html b/site/public/datasets/duke_mtmc/index.html
index 83050506..c3e84053 100644
--- a/site/public/datasets/duke_mtmc/index.html
+++ b/site/public/datasets/duke_mtmc/index.html
@@ -27,7 +27,8 @@
   <div class="content content-dataset">
     
   <section class='intro_section' style='background-image: url(https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/duke_mtmc/assets/background.jpg)'><div class='inner'><div class='hero_desc'><span class='bgpad'><span class="dataset-name">Duke MTMC</span> is a dataset of surveillance camera footage of students on Duke University campus</span></div><div class='hero_subdesc'><span class='bgpad'>Duke MTMC contains over 2 million video frames and 2,000 unique identities collected from 8 HD cameras at Duke University campus in March 2014
-</span></div></div></section><section><div class='left-sidebar'><div class='meta'><div><div class='gray'>Created</div><div>2014</div></div><div><div class='gray'>Identities</div><div>Over 2,700</div></div><div><div class='gray'>Used for</div><div>Face recognition, person re-identification</div></div><div><div class='gray'>Created by</div><div>Computer Science Department, Duke University, Durham, US</div></div><div><div class='gray'>Website</div><div><a href="http://vision.cs.duke.edu/DukeMTMC/">duke.edu</a></div></div></div></div><h2>Duke Multi-Target, Multi-Camera Tracking Dataset (Duke MTMC)</h2>
+</span></div></div></section><section><div class='left-sidebar'><p>{% include 'sidebar.html' %}</p>
+<div class='meta'><div><div class='gray'>Created</div><div>2014</div></div><div><div class='gray'>Identities</div><div>Over 2,700</div></div><div><div class='gray'>Used for</div><div>Face recognition, person re-identification</div></div><div><div class='gray'>Created by</div><div>Computer Science Department, Duke University, Durham, US</div></div><div><div class='gray'>Website</div><div><a href="http://vision.cs.duke.edu/DukeMTMC/">duke.edu</a></div></div></div></div><h2>Duke Multi-Target, Multi-Camera Tracking Dataset (Duke MTMC)</h2>
 <p>[ PAGE UNDER DEVELOPMENT ]</p>
 <p>Duke MTMC is a dataset of video recorded on Duke University campus during for the purpose of training, evaluating, and improving <em>multi-target multi-camera tracking</em>. The videos were recorded during February and March 2014 and cinclude</p>
 <p>Includes a total of 888.8 minutes of video (ind. verified)</p>
@@ -89,7 +90,6 @@
  <div class="applet" data-payload="{&quot;command&quot;: &quot;piechart&quot;}"></div>
 </section><section>
 
-
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       <div class="hr-wave-line hr-wave-line1"></div>
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diff --git a/site/public/datasets/facebook/index.html b/site/public/datasets/facebook/index.html
index 7fb1901a..e9adb3f2 100644
--- a/site/public/datasets/facebook/index.html
+++ b/site/public/datasets/facebook/index.html
@@ -27,7 +27,8 @@
   <div class="content content-">
     
   <section class='intro_section' style='background-image: url(https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/facebook/assets/background.jpg)'><div class='inner'><div class='hero_desc'><span class='bgpad'>TBD</span></div><div class='hero_subdesc'><span class='bgpad'>TBD
-</span></div></div></section><section><div class='image'><div class='intro-caption caption'>TBD</div></div></section><section><h3>Statistics</h3>
+</span></div></div></section><section><div class='image'><div class='intro-caption caption'>TBD</div></div></section><section><p>{% include 'sidebar.html' %}</p>
+<h3>Statistics</h3>
 <div class='meta'><div><div class='gray'>Years</div><div>2002-2004</div></div><div><div class='gray'>Images</div><div>13,233</div></div><div><div class='gray'>Identities</div><div>5,749</div></div><div><div class='gray'>Origin</div><div>Yahoo News Images</div></div><div><div class='gray'>Funding</div><div>(Possibly, partially CIA)</div></div></div><p>Ignore content below these lines</p>
 <ul>
 <li>Tool to create face datasets from Facebook <a href="https://github.com/ankitaggarwal011/FaceGrab">https://github.com/ankitaggarwal011/FaceGrab</a></li>
diff --git a/site/public/datasets/hrt_transgender/index.html b/site/public/datasets/hrt_transgender/index.html
index 528d1c3d..3215fb5d 100644
--- a/site/public/datasets/hrt_transgender/index.html
+++ b/site/public/datasets/hrt_transgender/index.html
@@ -27,7 +27,8 @@
   <div class="content content-dataset">
     
   <section class='intro_section' style='background-image: url(https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/hrt_transgender/assets/background.jpg)'><div class='inner'><div class='hero_desc'><span class='bgpad'>TBD</span></div><div class='hero_subdesc'><span class='bgpad'>TBD
-</span></div></div></section><section><div class='left-sidebar'><div class='meta'><div><div class='gray'>Published</div><div>TBD</div></div><div><div class='gray'>Images</div><div>TBD</div></div></div></div><h2>HRT Transgender Dataset</h2>
+</span></div></div></section><section><div class='left-sidebar'><p>{% include 'sidebar.html' %}</p>
+<div class='meta'><div><div class='gray'>Published</div><div>TBD</div></div><div><div class='gray'>Images</div><div>TBD</div></div></div></div><h2>HRT Transgender Dataset</h2>
 </section><section>
   <h3>Who used HRT Transgender?</h3>
 
@@ -83,7 +84,6 @@
 </section>
  --><section>
 
-
   <div class="hr-wave-holder">
       <div class="hr-wave-line hr-wave-line1"></div>
       <div class="hr-wave-line hr-wave-line2"></div>
diff --git a/site/public/datasets/lfw/index.html b/site/public/datasets/lfw/index.html
index 5f076fc7..562169e4 100644
--- a/site/public/datasets/lfw/index.html
+++ b/site/public/datasets/lfw/index.html
@@ -27,7 +27,8 @@
   <div class="content content-">
     
   <section class='intro_section' style='background-image: url(https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/lfw/assets/background.jpg)'><div class='inner'><div class='hero_desc'><span class='bgpad'><span class="dataset-name">Labeled Faces in The Wild (LFW)</span> is the first facial recognition dataset created entirely from online photos</span></div><div class='hero_subdesc'><span class='bgpad'>It includes 13,456 images of 4,432 people's images copied from the Internet during 2002-2004 and is the most frequently used dataset in the world for benchmarking face recognition algorithms.
-</span></div></div></section><section><div class='left-sidebar'><div class='meta'><div><div class='gray'>Created</div><div>2002 &ndash; 2004</div></div><div><div class='gray'>Images</div><div>13,233</div></div><div><div class='gray'>Identities</div><div>5,749</div></div><div><div class='gray'>Origin</div><div>Yahoo! News Images</div></div><div><div class='gray'>Used by</div><div>Facebook, Google, Microsoft, Baidu, Tencent, SenseTime, Face++, CIA, NSA, IARPA</div></div><div><div class='gray'>Website</div><div><a href="http://vis-www.cs.umass.edu/lfw">umass.edu</a></div></div></div><ul>
+</span></div></div></section><section><div class='left-sidebar'><p>{% include 'sidebar.html' %}</p>
+<div class='meta'><div><div class='gray'>Created</div><div>2002 &ndash; 2004</div></div><div><div class='gray'>Images</div><div>13,233</div></div><div><div class='gray'>Identities</div><div>5,749</div></div><div><div class='gray'>Origin</div><div>Yahoo! News Images</div></div><div><div class='gray'>Used by</div><div>Facebook, Google, Microsoft, Baidu, Tencent, SenseTime, Face++, CIA, NSA, IARPA</div></div><div><div class='gray'>Website</div><div><a href="http://vis-www.cs.umass.edu/lfw">umass.edu</a></div></div></div><ul>
 <li>There are about 3 men for every 1 woman in the LFW dataset<a class="footnote_shim" name="[^lfw_www]_1"> </a><a href="#[^lfw_www]" class="footnote" title="Footnote 1">1</a></li>
 <li>The person with the most images is <a href="http://vis-www.cs.umass.edu/lfw/person/George_W_Bush_comp.html">George W. Bush</a> with 530</li>
 <li>There are about 3 George W. Bush's for every 1 <a href="http://vis-www.cs.umass.edu/lfw/person/Tony_Blair.html">Tony Blair</a></li>
@@ -99,7 +100,6 @@
  <div class="applet" data-payload="{&quot;command&quot;: &quot;piechart&quot;}"></div>
 </section><section>
 
-
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       <div class="hr-wave-line hr-wave-line1"></div>
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diff --git a/site/public/datasets/market_1501/index.html b/site/public/datasets/market_1501/index.html
index 951646e3..7d9f87f6 100644
--- a/site/public/datasets/market_1501/index.html
+++ b/site/public/datasets/market_1501/index.html
@@ -27,7 +27,8 @@
   <div class="content content-dataset">
     
   <section class='intro_section' style='background-image: url(https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/market_1501/assets/background.jpg)'><div class='inner'><div class='hero_desc'><span class='bgpad'><span class="dataset-name">Market-1501</span> is a dataset is collection of CCTV footage from ...</span></div><div class='hero_subdesc'><span class='bgpad'>The Market-1501 dataset includes ...
-</span></div></div></section><section><div class='left-sidebar'><div class='meta'><div><div class='gray'>Collected</div><div>TBD</div></div><div><div class='gray'>Published</div><div>TBD</div></div><div><div class='gray'>Images</div><div>TBD</div></div><div><div class='gray'>Faces</div><div>TBD</div></div></div></div><h2>Market-1501 ...</h2>
+</span></div></div></section><section><div class='left-sidebar'><p>{% include 'sidebar.html' %}</p>
+<div class='meta'><div><div class='gray'>Collected</div><div>TBD</div></div><div><div class='gray'>Published</div><div>TBD</div></div><div><div class='gray'>Images</div><div>TBD</div></div><div><div class='gray'>Faces</div><div>TBD</div></div></div></div><h2>Market-1501 ...</h2>
 <p>(PAGE UNDER DEVELOPMENT)</p>
 </section><section>
 	
@@ -69,7 +70,6 @@
 </section>
  --><section>
 
-
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diff --git a/site/public/datasets/msceleb/index.html b/site/public/datasets/msceleb/index.html
index 9a671c8e..ecab4c3a 100644
--- a/site/public/datasets/msceleb/index.html
+++ b/site/public/datasets/msceleb/index.html
@@ -27,7 +27,8 @@
   <div class="content content-dataset">
     
   <section class='intro_section' style='background-image: url(https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/msceleb/assets/background.jpg)'><div class='inner'><div class='hero_desc'><span class='bgpad'>MS Celeb is a dataset of web images used for training and evaluating face recognition algorithms</span></div><div class='hero_subdesc'><span class='bgpad'>The MS Celeb dataset includes over 10,000,000 images and 93,000 identities of semi-public figures collected using the Bing search engine
-</span></div></div></section><section><div class='left-sidebar'><div class='meta'><div><div class='gray'>Published</div><div>TBD</div></div><div><div class='gray'>Images</div><div>TBD</div></div><div><div class='gray'>Faces</div><div>TBD</div></div><div><div class='gray'>Created by</div><div>TBD</div></div></div></div><h2>Microsoft Celeb Dataset (MS Celeb)</h2>
+</span></div></div></section><section><div class='left-sidebar'><p>{% include 'sidebar.html' %}</p>
+<div class='meta'><div><div class='gray'>Published</div><div>TBD</div></div><div><div class='gray'>Images</div><div>TBD</div></div><div><div class='gray'>Faces</div><div>TBD</div></div><div><div class='gray'>Created by</div><div>TBD</div></div></div></div><h2>Microsoft Celeb Dataset (MS Celeb)</h2>
 <p>(PAGE UNDER DEVELOPMENT)</p>
 <p>At vero eos et accusamus et iusto odio dignissimos ducimus, qui blanditiis praesentium voluptatum deleniti atque corrupti, quos dolores et quas molestias excepturi sint, obcaecati cupiditate non-provident, similique sunt in culpa, qui officia deserunt mollitia animi, id est laborum et dolorum fuga. Et harum quidem rerum facilis est et expedita distinctio.</p>
 <p>Nam libero tempore, cum soluta nobis est eligendi optio, cumque nihil impedit, quo minus id, quod maxime placeat, facere possimus, omnis voluptas assumenda est, omnis dolor repellendus. Temporibus autem quibusdam et aut officiis debitis aut rerum necessitatibus saepe eveniet, ut et voluptates repudiandae sint et molestiae non-recusandae. Itaque earum rerum hic tenetur a sapiente delectus, ut aut reiciendis voluptatibus maiores alias consequatur aut perferendis doloribus asperiores repellat</p>
@@ -87,7 +88,6 @@
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diff --git a/site/public/datasets/pipa/index.html b/site/public/datasets/pipa/index.html
index fe6a4742..ff4302eb 100644
--- a/site/public/datasets/pipa/index.html
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@@ -27,7 +27,8 @@
   <div class="content content-dataset">
     
   <section class='intro_section' style='background-image: url(https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/pipa/assets/background.jpg)'><div class='inner'><div class='hero_desc'><span class='bgpad'><span class="dataset-name"> is a dataset...</span></div><div class='hero_subdesc'><span class='bgpad'>PIPA subdescription
-</span></div></div></section><section><div class='left-sidebar'><div class='meta'><div><div class='gray'>Collected</div><div>TBD</div></div><div><div class='gray'>Published</div><div>TBD</div></div><div><div class='gray'>Images</div><div>TBD</div></div><div><div class='gray'>Faces</div><div>TBD</div></div></div></div><h2>Dataset Title TBD</h2>
+</span></div></div></section><section><div class='left-sidebar'><p>{% include 'sidebar.html' %}</p>
+<div class='meta'><div><div class='gray'>Collected</div><div>TBD</div></div><div><div class='gray'>Published</div><div>TBD</div></div><div><div class='gray'>Images</div><div>TBD</div></div><div><div class='gray'>Faces</div><div>TBD</div></div></div></div><h2>Dataset Title TBD</h2>
 <p>(PAGE UNDER DEVELOPMENT)</p>
 </section><section>
 	
@@ -69,7 +70,6 @@
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diff --git a/site/public/datasets/uccs/index.html b/site/public/datasets/uccs/index.html
index 10b7603e..0925763b 100644
--- a/site/public/datasets/uccs/index.html
+++ b/site/public/datasets/uccs/index.html
@@ -27,7 +27,8 @@
   <div class="content content-dataset">
     
   <section class='intro_section' style='background-image: url(https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/uccs/assets/background.jpg)'><div class='inner'><div class='hero_desc'><span class='bgpad'><span class="dataset-name">Unconstrained College Students (UCCS)</span> is a dataset of long-range surveillance photos of students taken without their knowledge</span></div><div class='hero_subdesc'><span class='bgpad'>The UCCS dataset includes 16,149 images and 1,732 identities of students at University of Colorado Colorado Springs campus and is used for face recognition and face detection
-</span></div></div></section><section><div class='left-sidebar'><div class='meta'><div><div class='gray'>Published</div><div>2018</div></div><div><div class='gray'>Images</div><div>16,149</div></div><div><div class='gray'>Identities</div><div>1,732</div></div><div><div class='gray'>Used for</div><div>Face recognition, face detection</div></div><div><div class='gray'>Created by</div><div>Unviversity of Colorado Colorado Springs (US)</div></div><div><div class='gray'>Funded by</div><div>ODNI, IARPA, ONR MURI, Amry SBIR, SOCOM SBIR</div></div><div><div class='gray'>Website</div><div><a href="https://vast.uccs.edu/Opensetface/">vast.uccs.edu</a></div></div></div></div><h2>Unconstrained College Students ...</h2>
+</span></div></div></section><section><div class='left-sidebar'><p>{% include 'sidebar.html' %}</p>
+<div class='meta'><div><div class='gray'>Published</div><div>2018</div></div><div><div class='gray'>Images</div><div>16,149</div></div><div><div class='gray'>Identities</div><div>1,732</div></div><div><div class='gray'>Used for</div><div>Face recognition, face detection</div></div><div><div class='gray'>Created by</div><div>Unviversity of Colorado Colorado Springs (US)</div></div><div><div class='gray'>Funded by</div><div>ODNI, IARPA, ONR MURI, Amry SBIR, SOCOM SBIR</div></div><div><div class='gray'>Website</div><div><a href="https://vast.uccs.edu/Opensetface/">vast.uccs.edu</a></div></div></div></div><h2>Unconstrained College Students ...</h2>
 <p>(PAGE UNDER DEVELOPMENT)</p>
 </section><section class='images'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/uccs/assets/uccs_mean_bboxes_comp.jpg' alt=' The pixel-average of all Uconstrained College Students images is shown with all 51,838 face annotations. (c) Adam Harvey'><div class='caption'> The pixel-average of all Uconstrained College Students images is shown with all 51,838 face annotations. (c) Adam Harvey</div></div></section><section>
 	
@@ -84,7 +85,6 @@
  <div class="applet" data-payload="{&quot;command&quot;: &quot;piechart&quot;}"></div>
 </section><section>
 
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diff --git a/site/public/datasets/viper/index.html b/site/public/datasets/viper/index.html
index cc4272c8..b838c2b9 100644
--- a/site/public/datasets/viper/index.html
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@@ -27,7 +27,8 @@
   <div class="content content-dataset">
     
   <section class='intro_section' style='background-image: url(https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/viper/assets/background.jpg)'><div class='inner'><div class='hero_desc'><span class='bgpad'><span class="dataset-name">VIPeR</span> is a person re-identification dataset of images captured at UC Santa Cruz in 2007</span></div><div class='hero_subdesc'><span class='bgpad'>VIPeR contains 1,264 images and 632 persons on the UC Santa Cruz campus and is used to train person re-identification algorithms for surveillance
-</span></div></div></section><section><div class='left-sidebar'><div class='meta'><div><div class='gray'>Published</div><div>2007</div></div><div><div class='gray'>Images</div><div>1,264</div></div><div><div class='gray'>Persons</div><div>632</div></div><div><div class='gray'>Created by</div><div>UC Santa Cruz</div></div></div></div><h2>VIPeR Dataset</h2>
+</span></div></div></section><section><div class='left-sidebar'><p>{% include 'sidebar.html' %}</p>
+<div class='meta'><div><div class='gray'>Published</div><div>2007</div></div><div><div class='gray'>Images</div><div>1,264</div></div><div><div class='gray'>Persons</div><div>632</div></div><div><div class='gray'>Created by</div><div>UC Santa Cruz</div></div></div></div><h2>VIPeR Dataset</h2>
 <p>(PAGE UNDER DEVELOPMENT)</p>
 <p><em>VIPeR (Viewpoint Invariant Pedestrian Recognition)</em> is a dataset of pedestrian images captured at University of California Santa Cruz in 2007. Accoriding to the reserachers 2 "cameras were placed in different locations in an academic setting and subjects were notified of the presence of cameras, but were not coached or instructed in any way."</p>
 <p>VIPeR is amongst the most widely used publicly available person re-identification datasets. In 2017 the VIPeR dataset was combined into a larger person re-identification created by the Chinese University of Hong Kong called PETA (PEdesTrian Attribute).</p>
@@ -86,7 +87,6 @@
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