Update spaCy pipeline

.gitattributes

@@ -18,3 +18,4 @@
 *.npz filter=lfs diff=lfs merge=lfs -text
 *strings.json filter=lfs diff=lfs merge=lfs -text
 vectors filter=lfs diff=lfs merge=lfs -text
+model filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,3 +1,61 @@
+---
+tags:
+- spacy
+- token-classification
+language:
+- ru
+license: MIT
+model-index:
+- name: ru_core_news_md
+  results:
+  - task:
+      name: NER
+      type: token-classification
+    metrics:
+    - name: NER Precision
+      type: precision
+      value: 0.949790795
+    - name: NER Recall
+      type: recall
+      value: 0.9552263929
+    - name: NER F Score
+      type: f_score
+      value: 0.9525008392
+  - task:
+      name: POS
+      type: token-classification
+    metrics:
+    - name: POS Accuracy
+      type: accuracy
+      value: 0.9886634845
+  - task:
+      name: SENTER
+      type: token-classification
+    metrics:
+    - name: SENTER Precision
+      type: precision
+      value: 0.9979071537
+    - name: SENTER Recall
+      type: recall
+      value: 0.9979071537
+    - name: SENTER F Score
+      type: f_score
+      value: 0.9979071537
+  - task:
+      name: UNLABELED_DEPENDENCIES
+      type: token-classification
+    metrics:
+    - name: Unlabeled Dependencies Accuracy
+      type: accuracy
+      value: 0.9600935899
+  - task:
+      name: LABELED_DEPENDENCIES
+      type: token-classification
+    metrics:
+    - name: Labeled Dependencies Accuracy
+      type: accuracy
+      value: 0.9600935899
+---
 ### Details: https://spacy.io/models/ru#ru_core_news_md
 
 Russian pipeline optimized for CPU. Components: tok2vec, morphologizer, parser, senter, ner, attribute_ruler, lemmatizer.