Update spaCy pipeline

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.gitattributes +1 -0
LICENSES_SOURCES +2 -0
README.md +50 -35
accuracy.json +156 -156
attribute_ruler/patterns +0 -0
ca_core_news_trf-any-py3-none-any.whl +2 -2
config.cfg +2 -1
meta.json +159 -159
morphologizer/model +2 -2
ner/model +1 -1
parser/model +1 -1
parser/moves +1 -1
tokenizer +2 -2
transformer/model +2 -2
vocab/key2row +3 -1

.gitattributes CHANGED Viewed

@@ -19,3 +19,4 @@
 *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

 *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
+*key2row filter=lfs diff=lfs merge=lfs -text

LICENSES_SOURCES CHANGED Viewed

@@ -18,6 +18,8 @@ http://www.gnu.org/licenses/gpl.html```
 * License: CC BY 4.0
 ```
 By exercising the Licensed Rights (defined below), You accept and agree to be bound by the terms and conditions of this Creative Commons Attribution 4.0 International Public License ("Public License"). To the extent this Public License may be interpreted as a contract, You are granted the Licensed Rights in consideration of Your acceptance of these terms and conditions, and the Licensor grants You such rights in consideration of benefits the Licensor receives from making the Licensed Material available under these terms and conditions.
 Section 1 – Definitions.

 * License: CC BY 4.0
 ```
+Creative Commons Attribution 4.0 International Public License
 By exercising the Licensed Rights (defined below), You accept and agree to be bound by the terms and conditions of this Creative Commons Attribution 4.0 International Public License ("Public License"). To the extent this Public License may be interpreted as a contract, You are granted the Licensed Rights in consideration of Your acceptance of these terms and conditions, and the Licensor grants You such rights in consideration of benefits the Licensor receives from making the Licensed Material available under these terms and conditions.
 Section 1 – Definitions.

README.md CHANGED Viewed

@@ -14,47 +14,62 @@ model-index:
     metrics:
     - name: NER Precision
       type: precision
-      value: 0.9193442623
     - name: NER Recall
       type: recall
       value: 0.9071497897
     - name: NER F Score
       type: f_score
-      value: 0.9132063182
   - task:
       name: POS
       type: token-classification
     metrics:
-    - name: POS Accuracy
       type: accuracy
-      value: 0.9630357913
   - task:
-      name: SENTER
       type: token-classification
     metrics:
-    - name: SENTER Precision
-      type: precision
-      value: 0.9953134153
-    - name: SENTER Recall
-      type: recall
-      value: 0.9941486249
-    - name: SENTER F Score
-      type: f_score
-      value: 0.9947306792
   - task:
-      name: UNLABELED_DEPENDENCIES
       type: token-classification
     metrics:
-    - name: Unlabeled Dependencies Accuracy
       type: accuracy
-      value: 0.9470394894
   - task:
       name: LABELED_DEPENDENCIES
       type: token-classification
     metrics:
-    - name: Labeled Dependencies Accuracy
-      type: accuracy
-      value: 0.9470394894
 ---
 ### Details: https://spacy.io/models/ca#ca_core_news_trf
@@ -63,8 +78,8 @@ Catalan transformer pipeline (PlanTL-GOB-ES/roberta-base-ca). Components: transf
 | Feature | Description |
 | --- | --- |
 | **Name** | `ca_core_news_trf` |
-| **Version** | `3.2.0` |
-| **spaCy** | `>=3.2.0,<3.3.0` |
 | **Default Pipeline** | `transformer`, `morphologizer`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
 | **Components** | `transformer`, `morphologizer`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
 | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
@@ -94,18 +109,18 @@ Catalan transformer pipeline (PlanTL-GOB-ES/roberta-base-ca). Components: transf
 | `TOKEN_P` | 99.78 |
 | `TOKEN_R` | 99.79 |
 | `TOKEN_F` | 99.79 |
-| `POS_ACC` | 96.30 |
-| `MORPH_ACC` | 95.65 |
-| `MORPH_MICRO_P` | 99.36 |
-| `MORPH_MICRO_R` | 98.61 |
-| `MORPH_MICRO_F` | 98.99 |
-| `SENTS_P` | 99.53 |
-| `SENTS_R` | 99.41 |
-| `SENTS_F` | 99.47 |
-| `DEP_UAS` | 94.70 |
-| `DEP_LAS` | 93.01 |
-| `TAG_ACC` | 96.30 |
 | `LEMMA_ACC` | 97.69 |
-| `ENTS_P` | 91.93 |
 | `ENTS_R` | 90.71 |
-| `ENTS_F` | 91.32 |

     metrics:
     - name: NER Precision
       type: precision
+      value: 0.9130576359
     - name: NER Recall
       type: recall
       value: 0.9071497897
     - name: NER F Score
       type: f_score
+      value: 0.9100941253
+  - task:
+      name: TAG
+      type: token-classification
+    metrics:
+    - name: TAG (XPOS) Accuracy
+      type: accuracy
+      value: 0.9630530401
   - task:
       name: POS
       type: token-classification
     metrics:
+    - name: POS (UPOS) Accuracy
       type: accuracy
+      value: 0.9630530401
   - task:
+      name: MORPH
       type: token-classification
     metrics:
+    - name: Morph (UFeats) Accuracy
+      type: accuracy
+      value: 0.9566102338
   - task:
+      name: LEMMA
       type: token-classification
     metrics:
+    - name: Lemma Accuracy
       type: accuracy
+      value: 0.9768696927
+  - task:
+      name: UNLABELED_DEPENDENCIES
+      type: token-classification
+    metrics:
+    - name: Unlabeled Attachment Score (UAS)
+      type: f_score
+      value: 0.9483632484
   - task:
       name: LABELED_DEPENDENCIES
       type: token-classification
     metrics:
+    - name: Labeled Attachment Score (LAS)
+      type: f_score
+      value: 0.9316832909
+  - task:
+      name: SENTS
+      type: token-classification
+    metrics:
+    - name: Sentences F-Score
+      type: f_score
+      value: 0.9927049898
 ---
 ### Details: https://spacy.io/models/ca#ca_core_news_trf
 | Feature | Description |
 | --- | --- |
 | **Name** | `ca_core_news_trf` |
+| **Version** | `3.3.0` |
+| **spaCy** | `>=3.3.0.dev0,<3.4.0` |
 | **Default Pipeline** | `transformer`, `morphologizer`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
 | **Components** | `transformer`, `morphologizer`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
 | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
 | `TOKEN_P` | 99.78 |
 | `TOKEN_R` | 99.79 |
 | `TOKEN_F` | 99.79 |
+| `POS_ACC` | 96.31 |
+| `MORPH_ACC` | 95.66 |
+| `MORPH_MICRO_P` | 99.34 |
+| `MORPH_MICRO_R` | 93.35 |
+| `MORPH_MICRO_F` | 96.25 |
+| `SENTS_P` | 99.01 |
+| `SENTS_R` | 99.53 |
+| `SENTS_F` | 99.27 |
+| `DEP_UAS` | 94.84 |
+| `DEP_LAS` | 93.17 |
+| `TAG_ACC` | 96.31 |
 | `LEMMA_ACC` | 97.69 |
+| `ENTS_P` | 91.31 |
 | `ENTS_R` | 90.71 |
+| `ENTS_F` | 91.01 |

accuracy.json CHANGED Viewed

@@ -3,81 +3,81 @@
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@@ -90,19 +90,19 @@
       "f": 0.9964539007
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@@ -111,140 +111,140 @@
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@@ -252,14 +252,14 @@
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@@ -272,32 +272,32 @@
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 }

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