Added datasets

README.md

@@ -21,6 +21,10 @@ model-index:
     - name: NER F Score
       type: f_score
       value: 0.8581818182
+    dataset:
+      name: DaNE
+      split: test
+      type: dane
   - task:
       name: TAG
       type: token-classification
@@ -28,6 +32,9 @@ model-index:
     - name: TAG (XPOS) Accuracy
       type: accuracy
       value: 0.9847290149
+    dataset:
+      name: UD Danish DDT
+      split: test
   - task:
       name: POS
       type: token-classification
@@ -35,6 +42,9 @@ model-index:
     - name: POS (UPOS) Accuracy
       type: accuracy
       value: 0.985677928
+    dataset:
+      name: UD Danish DDT
+      split: test
   - task:
       name: MORPH
       type: token-classification
@@ -42,6 +52,9 @@ model-index:
     - name: Morph (UFeats) Accuracy
       type: accuracy
       value: 0.9814371257
+    dataset:
+      name: UD Danish DDT
+      split: test
   - task:
       name: UNLABELED_DEPENDENCIES
       type: token-classification
@@ -49,6 +62,9 @@ model-index:
     - name: Unlabeled Attachment Score (UAS)
       type: f_score
       value: 0.9083920564
+    dataset:
+      name: UD Danish DDT
+      split: test
   - task:
       name: LABELED_DEPENDENCIES
       type: token-classification
@@ -56,6 +72,9 @@ model-index:
     - name: Labeled Attachment Score (LAS)
       type: f_score
       value: 0.883349834
+    dataset:
+      name: UD Danish DDT
+      split: test
   - task:
       name: SENTS
       type: token-classification
@@ -63,9 +82,41 @@ model-index:
     - name: Sentences F-Score
       type: f_score
       value: 0.9885462555
+    dataset:
+      name: UD Danish DDT
+      split: test
+  - task:
+      name: coreference-resolution
+      type: coreference-resolution
+    metrics:
+    - name: LEA
+      type: f_score
+      value: 0.4118366346
+    dataset:
+      name: DaCoref
+      type: alexandrainst/dacoref
+      split: custom
+  - task:
+      name: coreference-resolution
+      type: coreference-resolution
+    metrics:
+    - name: Named entity Linking Precision
+      type: precision
+      value: 0.9923076923
+    - name: Named entity Linking Recall
+      type: recall
+      value: 0.671875
+    - name: Named entity Linking F Score
+      type: f_score
+      value: 0.801242236
+    dataset:
+      name: DaNED
+      type: named-entity-linking
+      split: custom
 ---
 
 
+
 <a href="https://github.com/centre-for-humanities-computing/Dacy"><img src="https://centre-for-humanities-computing.github.io/DaCy/_static/icon.png" width="175" height="175" align="right" /></a>
 
 # DaCy medium