diff options
| author | Jules Laplace <julescarbon@gmail.com> | 2019-03-31 16:02:40 +0200 |
|---|---|---|
| committer | Jules Laplace <julescarbon@gmail.com> | 2019-03-31 16:02:40 +0200 |
| commit | 804b2e58f81000f883f75d79a66676ce545fbdc8 (patch) | |
| tree | 37f3643e0b27476722acc693823efa9c20f89af3 /site/public/datasets/pipa | |
| parent | 45bf844c0891098232b2a7ff5458cd2de32acbdf (diff) | |
rebuild
Diffstat (limited to 'site/public/datasets/pipa')
| -rw-r--r-- | site/public/datasets/pipa/index.html | 14 |
1 files changed, 8 insertions, 6 deletions
diff --git a/site/public/datasets/pipa/index.html b/site/public/datasets/pipa/index.html index 62754070..43b08f17 100644 --- a/site/public/datasets/pipa/index.html +++ b/site/public/datasets/pipa/index.html @@ -54,15 +54,17 @@ </section> <div class="caption"> - <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 has been manually verified to show usage of PIPA Dataset. + <ul class="map-legend"> + <li class="edu">Academic</li> + <li class="com">Industry</li> + <li class="gov">Government / Military</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> <p class='subp'> - 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. + [section under development] PIPA Dataset ... 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> @@ -81,7 +83,7 @@ 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 trainĀ and/or test machine learning algorithms. </p> <p> - Add button/link to download CSV + Add [button/link] to download CSV. Add search input field to filter. Expand number of rows to 10. Reduce URL text to show only the domain (ie https://arxiv.org/pdf/123456 --> arxiv.org) </p> <div class="applet" data-payload="{"command": "citations"}"></div> |
