Update spaCy pipeline

README.md

@@ -1,54 +1,13 @@
 ---
 tags:
 - spacy
-- text-classification
+- token-classification
 language:
 - en
 license: mit
 model-index:
 - name: en_statistics
-  results:
-  - task:
-      name: NER
-      type: text-classification
-    metrics:
-    - name: NER Precision
-      type: precision
-      value: 0.853733758
-    - name: NER Recall
-      type: recall
-      value: 0.8456530449
-    - name: NER F Score
-      type: f_score
-      value: 0.8496741892
-  - task:
-      name: TAG
-      type: token-classification
-    metrics:
-    - name: TAG (XPOS) Accuracy
-      type: accuracy
-      value: 0.9727831973
-  - task:
-      name: UNLABELED_DEPENDENCIES
-      type: token-classification
-    metrics:
-    - name: Unlabeled Attachment Score (UAS)
-      type: f_score
-      value: 0.9186878782
-  - task:
-      name: LABELED_DEPENDENCIES
-      type: token-classification
-    metrics:
-    - name: Labeled Attachment Score (LAS)
-      type: f_score
-      value: 0.9005160534
-  - task:
-      name: SENTS
-      type: token-classification
-    metrics:
-    - name: Sentences F-Score
-      type: f_score
-      value: 0.8923519379
+  results: []
 ---
 English pipeline that provides statistics, readability and formality scores.
 
@@ -92,4 +51,4 @@ English pipeline that provides statistics, readability and formality scores.
 | `ENTS_F` | 84.97 |
 | `SENTS_P` | 90.49 |
 | `SENTS_R` | 88.01 |
-| `SENTS_F` | 89.24 |
+| `SENTS_F` | 89.24 |

en_statistics-any-py3-none-any.whl

@@ -1,3 +1,3 @@
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-size 45410416
+oid sha256:b73ccfb1dd1ed29dd8ae29fe0627a9da0201f674787cb1470b84a82e904a8669
+size 45406670

meta.json

@@ -189,4 +189,4 @@
   "requirements":[
 
   ]
-}
+}