Update spaCy pipeline

README.md

@@ -14,27 +14,27 @@ model-index:
     metrics:
     - name: NER Precision
       type: precision
-      value: 0.6797583082
+      value: 0.7109375
     - name: NER Recall
       type: recall
-      value: 0.5660377358
+      value: 0.572327044
     - name: NER F Score
       type: f_score
-      value: 0.6177076184
+      value: 0.6341463415
   - 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: 0.9626963351
+      value: 0.9612599714
   - 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: 0.9202575532
+      value: 0.9195153808
   - task:
       name: LABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Labeled Attachment Score (LAS)
       type: f_score
-      value: 0.9066774658
+      value: 0.9047554776
   - task:
       name: SENTS
       type: token-classification
     metrics:
     - name: Sentences F-Score
       type: f_score
-      value: 0.9940828402
+      value: 0.9832841691
 ---
 ### Details: https://spacy.io/models/ja#ja_core_news_sm
 
@@ -78,8 +78,8 @@ Japanese pipeline optimized for CPU. Components: tok2vec, morphologizer, parser,
 | Feature | Description |
 | --- | --- |
 | **Name** | `ja_core_news_sm` |
-| **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** | 0 keys, 0 unique vectors (0 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` | 96.27 |
+| `TOKEN_P` | 97.64 |
+| `TOKEN_R` | 97.88 |
+| `TOKEN_F` | 97.76 |
+| `POS_ACC` | 96.13 |
 | `MORPH_ACC` | 0.00 |
 | `MORPH_MICRO_P` | 34.01 |
 | `MORPH_MICRO_R` | 98.04 |
 | `MORPH_MICRO_F` | 50.51 |
-| `SENTS_P` | 99.41 |
-| `SENTS_R` | 99.41 |
-| `SENTS_F` | 99.41 |
-| `DEP_UAS` | 92.03 |
-| `DEP_LAS` | 90.67 |
+| `SENTS_P` | 98.04 |
+| `SENTS_R` | 98.62 |
+| `SENTS_F` | 98.33 |
+| `DEP_UAS` | 91.95 |
+| `DEP_LAS` | 90.48 |
 | `TAG_ACC` | 97.13 |
-| `LEMMA_ACC` | 96.71 |
-| `ENTS_P` | 67.98 |
-| `ENTS_R` | 56.60 |
-| `ENTS_F` | 61.77 |
+| `LEMMA_ACC` | 96.70 |
+| `ENTS_P` | 71.09 |
+| `ENTS_R` | 57.23 |
+| `ENTS_F` | 63.41 |

accuracy.json

@@ -1,9 +1,9 @@
 {
-  "token_acc": 0.9937494927,
-  "token_p": 0.9764591282,
-  "token_r": 0.9790021974,
-  "token_f": 0.9777290092,
-  "pos_acc": 0.9626963351,
+  "token_acc": 0.9936678032,
+  "token_p": 0.9763760351,
+  "token_r": 0.9788394238,
+  "token_f": 0.9776061776,
+  "pos_acc": 0.9612599714,
   "morph_acc": 0.0,
   "morph_micro_p": 0.3401360544,
   "morph_micro_r": 0.9803921569,
@@ -25,143 +25,153 @@
       "f": 0.0
     }
   },
-  "sents_p": 0.9940828402,
-  "sents_r": 0.9940828402,
-  "sents_f": 0.9940828402,
-  "dep_uas": 0.9202575532,
-  "dep_las": 0.9066774658,
+  "sents_p": 0.9803921569,
+  "sents_r": 0.9861932939,
+  "sents_f": 0.9832841691,
+  "dep_uas": 0.9195153808,
+  "dep_las": 0.9047554776,
   "dep_las_per_type": {
     "cc": {
-      "p": 0.8085106383,
-      "r": 0.7916666667,
-      "f": 0.8
+      "p": 0.7826086957,
+      "r": 0.75,
+      "f": 0.7659574468
     },
     "compound": {
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-      "r": 0.9064261556,
-      "f": 0.9199084668
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+      "f": 0.9207977208
     },
     "obl": {
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-      "f": 0.8117942284
+      "p": 0.7995049505,
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+      "f": 0.8029832194
     },
     "case": {
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-      "r": 0.9798632219,
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+      "p": 0.9881180529,
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-      "f": 0.8111753372
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+      "f": 0.7949951877
     },
     "nmod": {
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+      "p": 0.8895859473,
       "r": 0.8292397661,
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+      "f": 0.8583535109
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     "root": {
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-      "f": 0.959285005
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+      "r": 0.966469428,
+      "f": 0.9702970297
     },
     "aux": {
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+      "p": 0.977818854,
       "r": 0.982358403,
-      "f": 0.9805375348
+      "f": 0.9800833719
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     "advcl": {
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+      "p": 0.6787330317,
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+      "f": 0.6764374295
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     "mark": {
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+      "p": 0.9674796748,
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     "fixed": {
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-      "f": 0.9695340502
+      "p": 0.9569120287,
+      "r": 0.9690909091,
+      "f": 0.962962963
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     "acl": {
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+      "p": 0.8515981735,
       "r": 0.8197802198,
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+      "f": 0.8353863382
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     "obj": {
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     "nummod": {
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     "advmod": {
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     "amod": {
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       "r": 0.7297297297,
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     "cop": {
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+      "f": 0.9647058824
     },
     "ccomp": {
-      "p": 0.95,
+      "p": 0.9047619048,
       "r": 0.8636363636,
-      "f": 0.9047619048
-    },
-    "csubj": {
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-      "r": 0.6666666667,
-      "f": 0.5333333333
+      "f": 0.8837209302
     },
     "det": {
-      "p": 0.9807692308,
-      "r": 0.9622641509,
-      "f": 0.9714285714
+      "p": 0.9803921569,
+      "r": 0.9433962264,
+      "f": 0.9615384615
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+    "csubj": {
+      "p": 0.6428571429,
+      "r": 0.75,
+      "f": 0.6923076923
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     "dep": {
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       "r": 0.1428571429,
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   },
-  "tag_acc": 0.9713305562,
-  "lemma_acc": 0.9670526831,
-  "ents_p": 0.6797583082,
-  "ents_r": 0.5660377358,
-  "ents_f": 0.6177076184,
+  "tag_acc": 0.9713282143,
+  "lemma_acc": 0.9670499959,
+  "ents_p": 0.7109375,
+  "ents_r": 0.572327044,
+  "ents_f": 0.6341463415,
   "ents_per_type": {
     "DATE": {
-      "p": 0.9122807018,
+      "p": 0.962962963,
       "r": 0.9541284404,
-      "f": 0.932735426
+      "f": 0.9585253456
     },
     "PERSON": {
-      "p": 0.5575221239,
-      "r": 0.4532374101,
-      "f": 0.5
+      "p": 0.64,
+      "r": 0.4604316547,
+      "f": 0.5355648536
+    },
+    "ORG": {
+      "p": 0.5555555556,
+      "r": 0.4379562044,
+      "f": 0.4897959184
     },
     "GPE": {
-      "p": 0.6585365854,
-      "r": 0.5744680851,
-      "f": 0.6136363636
+      "p": 0.6708860759,
+      "r": 0.5638297872,
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+      "r": 0.1904761905,
+      "f": 0.2461538462
     },
     "TIME": {
       "p": 0.6666666667,
@@ -169,63 +179,53 @@
       "f": 0.8
     },
     "QUANTITY": {
-      "p": 0.8656716418,
-      "r": 0.8787878788,
-      "f": 0.8721804511
+      "p": 0.8732394366,
+      "r": 0.9393939394,
+      "f": 0.9051094891
     },
     "NORP": {
-      "p": 0.6551724138,
-      "r": 0.59375,
-      "f": 0.6229508197
-    },
-    "ORDINAL": {
-      "p": 0.4615384615,
-      "r": 0.5454545455,
-      "f": 0.5
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-    "ORG": {
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-      "r": 0.4306569343,
-      "f": 0.489626556
+      "p": 0.75,
+      "r": 0.5625,
+      "f": 0.6428571429
     },
     "TITLE_AFFIX": {
       "p": 0.7368421053,
       "r": 0.4666666667,
       "f": 0.5714285714
     },
+    "ORDINAL": {
+      "p": 0.5384615385,
+      "r": 0.6363636364,
+      "f": 0.5833333333
+    },
     "WORK_OF_ART": {
-      "p": 0.7142857143,
-      "r": 0.5882352941,
-      "f": 0.6451612903
+      "p": 0.75,
+      "r": 0.5294117647,
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     },
-    "PERCENT": {
-      "p": 0.6666666667,
-      "r": 0.2857142857,
-      "f": 0.4
+    "CARDINAL": {
+      "p": 1.0,
+      "r": 0.5,
+      "f": 0.6666666667
     },
     "FAC": {
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-      "f": 0.406779661
+      "p": 0.6111111111,
+      "r": 0.2972972973,
+      "f": 0.4
     },
     "EVENT": {
-      "p": 0.6666666667,
+      "p": 0.7142857143,
       "r": 0.3846153846,
-      "f": 0.487804878
-    },
-    "CARDINAL": {
-      "p": 0.0,
-      "r": 0.0,
-      "f": 0.0
+      "f": 0.5
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-    "PRODUCT": {
-      "p": 0.44,
-      "r": 0.2619047619,
-      "f": 0.328358209
+    "PERCENT": {
+      "p": 1.0,
+      "r": 0.2857142857,
+      "f": 0.4444444444
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     "LOC": {
-      "p": 0.75,
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+      "p": 0.6363636364,
+      "r": 0.7,
       "f": 0.6666666667
     },
     "MOVEMENT": {
@@ -234,9 +234,9 @@
       "f": 0.0
     },
     "LAW": {
-      "p": 0.0,
-      "r": 0.0,
-      "f": 0.0
+      "p": 1.0,
+      "r": 0.3333333333,
+      "f": 0.5
     },
     "MONEY": {
       "p": 1.0,
@@ -244,10 +244,10 @@
       "f": 1.0
     },
     "LANGUAGE": {
-      "p": 1.0,
-      "r": 0.8333333333,
-      "f": 0.9090909091
+      "p": 0.6666666667,
+      "r": 1.0,
+      "f": 0.8
     }
   },
-  "speed": 10554.2597388988
+  "speed": 8098.5108221259
 }

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_sm-any-py3-none-any.whl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:52bcd3df687c9ae1b55806b4d9e49b517d419d0633951a2d8806c8fa2eef498a
-size 12098567
+oid sha256:1191e5bbffcc90670146616c274a64850e54d12070bc5846e78a094f2f6fcfca
+size 12090035

meta.json

@@ -1,14 +1,14 @@
 {
   "lang":"ja",
   "name":"core_news_sm",
-  "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":"contact@explosion.ai",
   "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":0,
     "vectors":0,
@@ -113,11 +113,11 @@
     "senter"
   ],
   "performance":{
-    "token_acc":0.9937494927,
-    "token_p":0.9764591282,
-    "token_r":0.9790021974,
-    "token_f":0.9777290092,
-    "pos_acc":0.9626963351,
+    "token_acc":0.9936678032,
+    "token_p":0.9763760351,
+    "token_r":0.9788394238,
+    "token_f":0.9776061776,
+    "pos_acc":0.9612599714,
     "morph_acc":0.0,
     "morph_micro_p":0.3401360544,
     "morph_micro_r":0.9803921569,
@@ -139,143 +139,153 @@
         "f":0.0
       }
     },
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-    "sents_f":0.9940828402,
-    "dep_uas":0.9202575532,
-    "dep_las":0.9066774658,
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+    "sents_r":0.9861932939,
+    "sents_f":0.9832841691,
+    "dep_uas":0.9195153808,
+    "dep_las":0.9047554776,
     "dep_las_per_type":{
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