Update benchmarks and data table style

website/_includes/_mixins.jade

@@ -452,8 +452,8 @@ mixin head-cell()
 
 //- Table cell (only used within +row in +table)
 
-mixin cell(align)
+mixin cell(...style)
-    td.c-table__cell.u-text(class=align ? "u-text-" + align : null)&attributes(attributes)
+    td.c-table__cell.u-text(class=prefixArgs(style, "c-table__cell"))&attributes(attributes)
         block
 
 

website/_includes/_page_models.jade

@@ -71,7 +71,7 @@ for id in CURRENT_MODELS
                                         +label=label
                                             if MODEL_META[field]
                                                 |  #[+help(MODEL_META[field]).u-color-subtle]
-                                    +cell("right")(data-tpl=id data-tpl-key=field)
+                                    +cell("num")(data-tpl=id data-tpl-key=field)
                                         |  n/a
 
         p.u-text-small.u-color-dark(data-tpl=id data-tpl-key="notes")

website/assets/css/_components/_tables.sass

@@ -32,6 +32,15 @@
     &:not(:last-child)
         border-right: 1px solid $color-subtle
 
+    &.c-table__cell--num
+        text-align: right
+        font-feature-settings: "tnum"
+        font-variant-numeric: tabular-nums
+
+        & > strong
+            font-feature-settings: initial
+            font-variant-numeric: initial
+
 
 //- Table head cell
 

website/usage/_facts-figures/_benchmarks-choi-2015.jade

@@ -5,41 +5,41 @@
         +cell #[strong spaCy v2.x]
         +cell 2017
         +cell Python / Cython
-        +cell("right") #[strong 92.6]
+        +cell("num") #[strong 92.6]
-        +cell("right") #[em n/a]
+        +cell("num") #[em n/a]
             |  #[+help("This table shows speed as benchmarked by Choi et al. We therefore can't provide comparable figures, as we'd be running the benchmark on different hardware.").u-color-dark]
 
     +row
         +cell #[strong spaCy v1.x]
         +cell 2015
         +cell Python / Cython
-        +cell("right") 91.8
+        +cell("num") 91.8
-        +cell("right") 13,963
+        +cell("num") 13,963
 
     +row
         +cell ClearNLP
         +cell 2015
         +cell Java
-        +cell("right") 91.7
+        +cell("num") 91.7
-        +cell("right") 10,271
+        +cell("num") 10,271
 
     +row
         +cell CoreNLP
         +cell 2015
         +cell Java
-        +cell("right") 89.6
+        +cell("num") 89.6
-        +cell("right") 8,602
+        +cell("num") 8,602
 
     +row
         +cell MATE
         +cell 2015
         +cell Java
-        +cell("right") 92.5
+        +cell("num") 92.5
-        +cell("right") 550
+        +cell("num") 550
 
     +row
         +cell Turbo
         +cell 2015
         +cell C++
-        +cell("right") 92.4
+        +cell("num") 92.4
-        +cell("right") 349
+        +cell("num") 349

website/usage/_facts-figures/_benchmarks-models.jade

@@ -20,34 +20,34 @@ p
     +row
         +cell #[+a("/models/en#en_core_web_sm") #[code en_core_web_sm]] 2.0.0a8
         each data in ["2.x", "neural"]
-            +cell("right")=data
+            +cell("num")=data
-        +cell("right") 91.7
+        +cell("num") 91.7
-        +cell("right") 85.3
+        +cell("num") 85.3
-        +cell("right") 97.0
+        +cell("num") 97.0
-        +cell("right") 10.1k
+        +cell("num") 10.1k
-        +cell("right") #[strong 35 MB]
+        +cell("num") #[strong 35MB]
 
     +row
         +cell #[+a("/models/en#en_core_web_lg") #[code en_core_web_lg]] 2.0.0a3
         each data in ["2.x", "neural"]
-            +cell("right")=data
+            +cell("num")=data
-        +cell("right") #[strong 91.9]
+        +cell("num") #[strong 91.9]
-        +cell("right") #[strong 85.9]
+        +cell("num") #[strong 85.9]
-        +cell("right") #[strong 97.2]
+        +cell("num") #[strong 97.2]
-        +cell("right") 5.0k
+        +cell("num") 10.0k
-        +cell("right") 812 MB
+        +cell("num") 812MB
 
     +row("divider")
         +cell #[code en_core_web_sm] 1.2.0
         each data in ["1.x", "linear", 86.6, 78.5, 96.6]
-            +cell("right")=data
+            +cell("num")=data
-        +cell("right") #[strong 25.7k]
+        +cell("num") #[strong 25.7k]
-        +cell("right") 50 MB
+        +cell("num") 50MB
 
     +row
         +cell #[code en_core_web_md] 1.2.1
-        each data in ["1.x", "linear", 90.6, 81.4, 96.7, "18.8k", "1 GB"]
+        each data in ["1.x", "linear", 90.6, 81.4, 96.7, "18.8k", "1GB"]
-            +cell("right")=data
+            +cell("num")=data
 
 +h(4, "benchmarks-models-spanish") Spanish
 
@@ -59,29 +59,29 @@ p
 +table(["Model", "spaCy", "Type", "UAS", "NER F", "POS", "WPS", "Size"])
     +row
         +cell #[+a("/models/es#es_core_news_sm") #[code es_core_news_sm]] 2.0.0a0
-        +cell("right") 2.x
+        +cell("num") 2.x
-        +cell("right") neural
+        +cell("num") neural
-        +cell("right") 89.8
+        +cell("num") 89.8
-        +cell("right") 88.7
+        +cell("num") 88.7
-        +cell("right") #[strong 96.9]
+        +cell("num") #[strong 96.9]
-        +cell("right") #[em n/a]
+        +cell("num") #[em n/a]
-        +cell("right") #[strong 35 MB]
+        +cell("num") #[strong 35MB]
 
     +row
         +cell #[+a("/models/es#es_core_news_md") #[code es_core_news_md]] 2.0.0a0
-        +cell("right") 2.x
+        +cell("num") 2.x
-        +cell("right") neural
+        +cell("num") neural
-        +cell("right") #[strong 90.2]
+        +cell("num") #[strong 90.2]
-        +cell("right") 89.0
+        +cell("num") 89.0
-        +cell("right") 97.8
+        +cell("num") 97.8
-        +cell("right") #[em n/a]
+        +cell("num") #[em n/a]
-        +cell("right") 93 MB
+        +cell("num") 93MB
 
     +row("divider")
         +cell #[code es_core_web_md] 1.1.0
         each data in ["1.x", "linear", 87.5]
-            +cell("right")=data
+            +cell("num")=data
-        +cell("right") #[strong 94.2]
+        +cell("num") #[strong 94.2]
-        +cell("right") 96.7
+        +cell("num") 96.7
-        +cell("right") #[em n/a]
+        +cell("num") #[em n/a]
-        +cell("right") 377 MB
+        +cell("num") 377MB

website/usage/_facts-figures/_benchmarks.jade

@@ -50,55 +50,55 @@ p
         +cell spaCy v2.0.0
         +cell 2017
         +cell neural
-        +cell("right") 94.48
+        +cell("num") 94.48
 
     +row
         +cell spaCy v1.1.0
         +cell 2016
         +cell linear
-        +cell("right") 92.80
+        +cell("num") 92.80
 
     +row("divider")
         +cell
             +a("https://arxiv.org/pdf/1611.01734.pdf") Dozat and Manning
             +cell 2017
             +cell neural
-            +cell("right") #[strong 95.75]
+            +cell("num") #[strong 95.75]
 
     +row
         +cell
             +a("http://arxiv.org/abs/1603.06042") Andor et al.
         +cell 2016
         +cell neural
-        +cell("right") 94.44
+        +cell("num") 94.44
 
     +row
         +cell
             +a("https://github.com/tensorflow/models/tree/master/research/syntaxnet") SyntaxNet Parsey McParseface
         +cell 2016
         +cell neural
-        +cell("right") 94.15
+        +cell("num") 94.15
 
     +row
         +cell
             +a("http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43800.pdf") Weiss et al.
         +cell 2015
         +cell neural
-        +cell("right") 93.91
+        +cell("num") 93.91
 
     +row
         +cell
             +a("http://research.google.com/pubs/archive/38148.pdf") Zhang and McDonald
         +cell 2014
         +cell linear
-        +cell("right") 93.32
+        +cell("num") 93.32
 
     +row
         +cell
             +a("http://www.cs.cmu.edu/~ark/TurboParser/") Martins et al.
         +cell 2013
         +cell linear
-        +cell("right") 93.10
+        +cell("num") 93.10
 
 +h(4, "ner-accuracy-ontonotes5") NER accuracy (OntoNotes 5, no pre-process)
 
@@ -113,35 +113,35 @@ p
         +cell spaCy #[+a("/models/en#en_core_web_lg") #[code en_core_web_lg]] v2.0.0a3
         +cell 2017
         +cell neural
-        +cell("right") 85.85
+        +cell("num") 85.85
 
     +row("divider")
         +cell
             +a("https://arxiv.org/pdf/1702.02098.pdf") Strubell et al.
         +cell 2017
         +cell neural
-        +cell("right") #[strong 86.81]
+        +cell("num") #[strong 86.81]
 
     +row
         +cell
             +a("https://www.semanticscholar.org/paper/Named-Entity-Recognition-with-Bidirectional-LSTM-C-Chiu-Nichols/10a4db59e81d26b2e0e896d3186ef81b4458b93f") Chiu and Nichols
         +cell 2016
         +cell neural
-        +cell("right") 86.19
+        +cell("num") 86.19
 
     +row
         +cell
             +a("https://www.semanticscholar.org/paper/A-Joint-Model-for-Entity-Analysis-Coreference-Typi-Durrett-Klein/28eb033eee5f51c5e5389cbb6b777779203a6778") Durrett and Klein
         +cell 2014
         +cell neural
-        +cell("right") 84.04
+        +cell("num") 84.04
 
     +row
         +cell
             +a("http://www.aclweb.org/anthology/W09-1119") Ratinov and Roth
         +cell 2009
         +cell linear
-        +cell("right") 83.45
+        +cell("num") 83.45
 
 +h(3, "spacy-models") Model comparison
 
@@ -183,24 +183,24 @@ p
     +row
         +cell #[strong spaCy]
         each data in [ "0.2ms", "1ms", "19ms"]
-            +cell("right") #[strong=data]
+            +cell("num") #[strong=data]
 
         each data in ["1x", "1x", "1x"]
-            +cell("right")=data
+            +cell("num")=data
 
     +row
         +cell CoreNLP
         each data in ["2ms", "10ms", "49ms", "10x", "10x", "2.6x"]
-            +cell("right")=data
+            +cell("num")=data
     +row
         +cell ZPar
         each data in ["1ms", "8ms", "850ms", "5x", "8x", "44.7x"]
-            +cell("right")=data
+            +cell("num")=data
     +row
         +cell NLTK
         each data in ["4ms", "443ms"]
-            +cell("right")=data
+            +cell("num")=data
-        +cell("right") #[em n/a]
+        +cell("num") #[em n/a]
         each data in ["20x", "443x"]
-            +cell("right")=data
+            +cell("num")=data
-        +cell("right") #[em n/a]
+        +cell("num") #[em n/a]