Update spaCy pipeline

README.md

@@ -14,27 +14,27 @@ model-index:
     metrics:
     - name: NER Precision
       type: precision
-      value: 0.749661705
+      value: 0.7388362652
     - name: NER Recall
       type: recall
-      value: 0.6968553459
+      value: 0.6867924528
     - name: NER F Score
       type: f_score
-      value: 0.7222946545
+      value: 0.7118644068
   - task:
       name: TAG
       type: token-classification
     metrics:
     - name: TAG (XPOS) Accuracy
       type: accuracy
-      value: 0.9713305562
+      value: 0.9713282143
   - task:
       name: POS
       type: token-classification
     metrics:
     - name: POS (UPOS) Accuracy
       type: accuracy
-      value: 0.9730437272
+      value: 0.9742268041
   - task:
       name: MORPH
       type: token-classification
@@ -48,28 +48,28 @@ model-index:
     metrics:
     - name: Lemma Accuracy
       type: accuracy
-      value: 0.9670526831
+      value: 0.9670499959
   - task:
       name: UNLABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Unlabeled Attachment Score (UAS)
       type: f_score
-      value: 0.9221626975
+      value: 0.9212481426
   - task:
       name: LABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Labeled Attachment Score (LAS)
       type: f_score
-      value: 0.9081013
+      value: 0.9089518668
   - task:
       name: SENTS
       type: token-classification
     metrics:
     - name: Sentences F-Score
       type: f_score
-      value: 0.9716520039
+      value: 0.9658536585
 ---
 ### Details: https://spacy.io/models/ja#ja_core_news_lg
 
@@ -78,8 +78,8 @@ Japanese pipeline optimized for CPU. Components: tok2vec, morphologizer, parser,
 | Feature | Description |
 | --- | --- |
 | **Name** | `ja_core_news_lg` |
-| **Version** | `3.6.0` |
-| **spaCy** | `>=3.6.0,<3.7.0` |
+| **Version** | `3.7.0` |
+| **spaCy** | `>=3.7.0,<3.8.0` |
 | **Default Pipeline** | `tok2vec`, `morphologizer`, `parser`, `attribute_ruler`, `ner` |
 | **Components** | `tok2vec`, `morphologizer`, `parser`, `senter`, `attribute_ruler`, `ner` |
 | **Vectors** | 480443 keys, 480443 unique vectors (300 dimensions) |
@@ -106,21 +106,21 @@ Japanese pipeline optimized for CPU. Components: tok2vec, morphologizer, parser,
 | Type | Score |
 | --- | --- |
 | `TOKEN_ACC` | 99.37 |
-| `TOKEN_P` | 97.65 |
-| `TOKEN_R` | 97.90 |
-| `TOKEN_F` | 97.77 |
-| `POS_ACC` | 97.30 |
+| `TOKEN_P` | 97.64 |
+| `TOKEN_R` | 97.88 |
+| `TOKEN_F` | 97.76 |
+| `POS_ACC` | 97.42 |
 | `MORPH_ACC` | 0.00 |
 | `MORPH_MICRO_P` | 34.01 |
 | `MORPH_MICRO_R` | 98.04 |
 | `MORPH_MICRO_F` | 50.51 |
-| `SENTS_P` | 96.32 |
-| `SENTS_R` | 98.03 |
-| `SENTS_F` | 97.17 |
-| `DEP_UAS` | 92.22 |
-| `DEP_LAS` | 90.81 |
+| `SENTS_P` | 95.56 |
+| `SENTS_R` | 97.63 |
+| `SENTS_F` | 96.59 |
+| `DEP_UAS` | 92.12 |
+| `DEP_LAS` | 90.90 |
 | `TAG_ACC` | 97.13 |
-| `LEMMA_ACC` | 96.71 |
-| `ENTS_P` | 74.97 |
-| `ENTS_R` | 69.69 |
-| `ENTS_F` | 72.23 |
+| `LEMMA_ACC` | 96.70 |
+| `ENTS_P` | 73.88 |
+| `ENTS_R` | 68.68 |
+| `ENTS_F` | 71.19 |

accuracy.json

@@ -1,9 +1,9 @@
 {
-  "token_acc": 0.9937494927,
-  "token_p": 0.9764591282,
-  "token_r": 0.9790021974,
-  "token_f": 0.9777290092,
-  "pos_acc": 0.9730437272,
+  "token_acc": 0.9936678032,
+  "token_p": 0.9763760351,
+  "token_r": 0.9788394238,
+  "token_f": 0.9776061776,
+  "pos_acc": 0.9742268041,
   "morph_acc": 0.0,
   "morph_micro_p": 0.3401360544,
   "morph_micro_r": 0.9803921569,
@@ -25,101 +25,101 @@
       "f": 0.0
     }
   },
-  "sents_p": 0.9631782946,
-  "sents_r": 0.9802761341,
-  "sents_f": 0.9716520039,
-  "dep_uas": 0.9221626975,
-  "dep_las": 0.9081013,
+  "sents_p": 0.9555984556,
+  "sents_r": 0.9763313609,
+  "sents_f": 0.9658536585,
+  "dep_uas": 0.9212481426,
+  "dep_las": 0.9089518668,
   "dep_las_per_type": {
     "cc": {
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-      "r": 0.8125,
-      "f": 0.829787234
+      "p": 0.7777777778,
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+      "f": 0.752688172
     },
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+      "f": 0.9257241182
     },
     "obl": {
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+      "p": 0.840357599,
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+      "f": 0.8308080808
     },
     "case": {
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-      "f": 0.863030303
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     "root": {
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-      "f": 0.9625984252
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+      "f": 0.9636184857
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     "aux": {
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-      "r": 0.982358403,
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     "advcl": {
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     "mark": {
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     "fixed": {
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+      "f": 0.9604316547
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     "acl": {
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+      "f": 0.9513677812
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     "nummod": {
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       "r": 0.8934911243,
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     "advmod": {
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+      "p": 0.7050359712,
+      "r": 0.7,
+      "f": 0.7025089606
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     "amod": {
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     "cop": {
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+      "r": 0.9534883721,
+      "f": 0.9647058824
     },
     "ccomp": {
       "p": 0.95,
@@ -127,46 +127,51 @@
       "f": 0.9047619048
     },
     "det": {
-      "p": 0.9807692308,
-      "r": 0.9622641509,
-      "f": 0.9714285714
+      "p": 1.0,
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+      "f": 0.9708737864
     },
     "csubj": {
-      "p": 0.6666666667,
-      "r": 0.8333333333,
-      "f": 0.7407407407
+      "p": 0.7333333333,
+      "r": 0.9166666667,
+      "f": 0.8148148148
     },
     "dep": {
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       "r": 0.1428571429,
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+      "f": 0.2
     }
   },
-  "tag_acc": 0.9713305562,
-  "lemma_acc": 0.9670526831,
-  "ents_p": 0.749661705,
-  "ents_r": 0.6968553459,
-  "ents_f": 0.7222946545,
+  "tag_acc": 0.9713282143,
+  "lemma_acc": 0.9670499959,
+  "ents_p": 0.7388362652,
+  "ents_r": 0.6867924528,
+  "ents_f": 0.7118644068,
   "ents_per_type": {
     "DATE": {
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-      "r": 0.9633027523,
-      "f": 0.9545454545
+      "p": 0.9626168224,
+      "r": 0.9449541284,
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     "ORG": {
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-      "f": 0.5900383142
+      "p": 0.6090225564,
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+      "f": 0.6
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     "PERSON": {
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     "GPE": {
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     "TIME": {
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@@ -174,69 +179,69 @@
       "f": 0.7272727273
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     "QUANTITY": {
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     "NORP": {
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     "TITLE_AFFIX": {
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     "ORDINAL": {
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-    "MOVEMENT": {
+    "PET_NAME": {
       "p": 0.0,
       "r": 0.0,
       "f": 0.0
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-    "PRODUCT": {
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+    "MOVEMENT": {
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     "LAW": {
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+      "f": 0.5
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     "MONEY": {
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@@ -249,5 +254,5 @@
       "f": 1.0
     }
   },
-  "speed": 8423.8901639919
+  "speed": 8472.2177519611
 }

config.cfg

@@ -16,6 +16,7 @@ before_creation = null
 after_creation = null
 after_pipeline_creation = null
 batch_size = 256
+vectors = {"@vectors":"spacy.Vectors.v1"}
 
 [nlp.tokenizer]
 @tokenizers = "spacy.ja.JapaneseTokenizer"

ja_core_news_lg-any-py3-none-any.whl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:db8020348eb16bd4ce01db1a0dcde65b40f7c95c7aa6235d501f0801ca0eb556
-size 555248990
+oid sha256:f08eecb4d40523045c9478ce59a67564fd71edd215f32c076fa91dc1f05cc7fd
+size 555247573

meta.json

@@ -1,14 +1,14 @@
 {
   "lang":"ja",
   "name":"core_news_lg",
-  "version":"3.6.0",
+  "version":"3.7.0",
   "description":"Japanese pipeline optimized for CPU. Components: tok2vec, morphologizer, parser, senter, ner, attribute_ruler.",
   "author":"Explosion",
   "email":"[email protected]",
   "url":"https://explosion.ai",
   "license":"CC BY-SA 4.0",
-  "spacy_version":">=3.6.0,<3.7.0",
-  "spacy_git_version":"cb4fdc83e",
+  "spacy_version":">=3.7.0,<3.8.0",
+  "spacy_git_version":"6b4f77441",
   "vectors":{
     "width":300,
     "vectors":480443,
@@ -113,11 +113,11 @@
     "senter"
   ],
   "performance":{
-    "token_acc":0.9937494927,
-    "token_p":0.9764591282,
-    "token_r":0.9790021974,
-    "token_f":0.9777290092,
-    "pos_acc":0.9730437272,
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+    "token_p":0.9763760351,
+    "token_r":0.9788394238,
+    "token_f":0.9776061776,
+    "pos_acc":0.9742268041,
     "morph_acc":0.0,
     "morph_micro_p":0.3401360544,
     "morph_micro_r":0.9803921569,
@@ -139,101 +139,101 @@
         "f":0.0
       }
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+    "sents_f":0.9658536585,
+    "dep_uas":0.9212481426,
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