Update spacy pipeline to 3.7.0

README.md

@@ -14,74 +14,74 @@ model-index:
     metrics:
     - name: NER Precision
       type: precision
-      value: 0.8585339943
+      value: 0.8459219858
     - name: NER Recall
       type: recall
-      value: 0.8524964838
+      value: 0.8387834037
     - name: NER F Score
       type: f_score
-      value: 0.8555045872
+      value: 0.8423375706
   - task:
       name: TAG
       type: token-classification
     metrics:
     - name: TAG (XPOS) Accuracy
       type: accuracy
-      value: 0.9695664657
+      value: 0.9694736842
   - task:
       name: POS
       type: token-classification
     metrics:
     - name: POS (UPOS) Accuracy
       type: accuracy
-      value: 0.969328676
+      value: 0.9686124402
   - task:
       name: MORPH
       type: token-classification
     metrics:
     - name: Morph (UFeats) Accuracy
       type: accuracy
-      value: 0.9461192459
+      value: 0.9439180783
   - task:
       name: LEMMA
       type: token-classification
     metrics:
     - name: Lemma Accuracy
       type: accuracy
-      value: 0.974834944
+      value: 0.9745478902
   - task:
       name: UNLABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Unlabeled Attachment Score (UAS)
       type: f_score
-      value: 0.8140300006
+      value: 0.8147198216
   - task:
       name: LABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Labeled Attachment Score (LAS)
       type: f_score
-      value: 0.7415379468
+      value: 0.743867083
   - task:
       name: SENTS
       type: token-classification
     metrics:
     - name: Sentences F-Score
       type: f_score
-      value: 0.9755011136
+      value: 0.9754464286
 ---
 Core Hungarian model for HuSpaCy. Components: tok2vec, senter, tagger, morphologizer, lemmatizer, parser, ner
 
 | Feature | Description |
 | --- | --- |
 | **Name** | `hu_core_news_md` |
-| **Version** | `3.6.1` |
-| **spaCy** | `>=3.6.0,<3.7.0` |
+| **Version** | `3.7.0` |
+| **spaCy** | `>=3.7.0,<3.8.0` |
 | **Default Pipeline** | `tok2vec`, `senter`, `tagger`, `morphologizer`, `lookup_lemmatizer`, `trainable_lemmatizer`, `parser`, `ner` |
 | **Components** | `tok2vec`, `senter`, `tagger`, `morphologizer`, `lookup_lemmatizer`, `trainable_lemmatizer`, `parser`, `ner` |
 | **Vectors** | -1 keys, 200000 unique vectors (100 dimensions) |
-| **Sources** | [UD Hungarian Szeged](https://universaldependencies.org/treebanks/hu_szeged/index.html) (Richárd Farkas, Katalin Simkó, Zsolt Szántó, Viktor Varga, Veronika Vincze (MTA-SZTE Research Group on Artificial Intelligence))<br />[NYTK-NerKor Corpus](https://github.com/nytud/NYTK-NerKor) (Eszter Simon, Noémi Vadász (Department of Language Technology and Applied Linguistics))<br />[Szeged NER Corpus](https://rgai.inf.u-szeged.hu/node/130) (György Szarvas, Richárd Farkas, László Felföldi, András Kocsor, János Csirik (MTA-SZTE Research Group on Artificial Intelligence))<br />[Hungarian lg Floret vectors](https://huggingface.co/huspacy/hu_vectors_web_lg) (Szeged AI) |
+| **Sources** | [UD Hungarian Szeged](https://universaldependencies.org/treebanks/hu_szeged/index.html) (Richárd Farkas, Katalin Simkó, Zsolt Szántó, Viktor Varga, Veronika Vincze (MTA-SZTE Research Group on Artificial Intelligence))<br>[NYTK-NerKor Corpus](https://github.com/nytud/NYTK-NerKor) (Eszter Simon, Noémi Vadász (Department of Language Technology and Applied Linguistics))<br>[Szeged NER Corpus](https://rgai.inf.u-szeged.hu/node/130) (György Szarvas, Richárd Farkas, László Felföldi, András Kocsor, János Csirik (MTA-SZTE Research Group on Artificial Intelligence))<br>[Hungarian lg Floret vectors](https://huggingface.co/huspacy/hu_vectors_web_lg) (Szeged AI) |
 | **License** | `cc-by-sa-4.0` |
 | **Author** | [SzegedAI, MILAB](https://github.com/huspacy/huspacy) |
 
@@ -108,18 +108,18 @@ Core Hungarian model for HuSpaCy. Components: tok2vec, senter, tagger, morpholog
 | `TOKEN_P` | 99.86 |
 | `TOKEN_R` | 99.93 |
 | `TOKEN_F` | 99.89 |
-| `SENTS_P` | 97.55 |
-| `SENTS_R` | 97.55 |
-| `SENTS_F` | 97.55 |
-| `TAG_ACC` | 96.96 |
-| `POS_ACC` | 96.93 |
-| `MORPH_ACC` | 94.61 |
-| `MORPH_MICRO_P` | 97.48 |
-| `MORPH_MICRO_R` | 96.79 |
-| `MORPH_MICRO_F` | 97.13 |
-| `LEMMA_ACC` | 97.48 |
-| `DEP_UAS` | 81.40 |
-| `DEP_LAS` | 74.15 |
-| `ENTS_P` | 85.85 |
-| `ENTS_R` | 85.25 |
-| `ENTS_F` | 85.55 |
+| `SENTS_P` | 97.76 |
+| `SENTS_R` | 97.33 |
+| `SENTS_F` | 97.54 |
+| `TAG_ACC` | 96.95 |
+| `POS_ACC` | 96.86 |
+| `MORPH_ACC` | 94.39 |
+| `MORPH_MICRO_P` | 97.64 |
+| `MORPH_MICRO_R` | 96.75 |
+| `MORPH_MICRO_F` | 97.19 |
+| `LEMMA_ACC` | 97.45 |
+| `DEP_UAS` | 81.47 |
+| `DEP_LAS` | 74.39 |
+| `ENTS_P` | 84.59 |
+| `ENTS_R` | 83.88 |
+| `ENTS_F` | 84.23 |

config.cfg

@@ -1,8 +1,8 @@
 [paths]
-parser_model = "models/hu_core_news_md-parser-3.6.1/model-best"
-ner_model = "models/hu_core_news_md-ner-3.6.1/model-best"
-lemmatizer_lookups = "models/hu_core_news_md-lookup-lemmatizer-3.6.1"
-tagger_model = "models/hu_core_news_md-tagger-3.6.1/model-best"
+parser_model = "models/hu_core_news_md-parser-3.7.0/model-best"
+ner_model = "models/hu_core_news_md-ner-3.7.0/model-best"
+lemmatizer_lookups = "models/hu_core_news_md-lookup-lemmatizer-3.7.0"
+tagger_model = "models/hu_core_news_md-tagger-3.7.0/model-best"
 train = null
 dev = null
 vectors = null
@@ -21,6 +21,7 @@ before_creation = null
 after_creation = null
 after_pipeline_creation = null
 batch_size = 1000
+vectors = {"@vectors":"spacy.Vectors.v1"}
 
 [components]
 

hu_core_news_md-any-py3-none-any.whl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9c04cff940d2a9fc3125ab972ee8f444334a867fe4bc5e188d11851bc5aceaed
-size 127014450
+oid sha256:ad3d006acf6cbc45cfb45080d50b54116a881b0992d6dbd90e377ca9ae56fd0d
+size 127001547

meta.json

@@ -1,14 +1,14 @@
 {
   "lang":"hu",
   "name":"core_news_md",
-  "version":"3.6.1",
+  "version":"3.7.0",
   "description":"Core Hungarian model for HuSpaCy. Components: tok2vec, senter, tagger, morphologizer, lemmatizer, parser, ner",
   "author":"SzegedAI, MILAB",
   "email":"gyorgy@orosz.link",
   "url":"https://github.com/huspacy/huspacy",
   "license":"cc-by-sa-4.0",
-  "spacy_version":">=3.6.0,<3.7.0",
-  "spacy_git_version":"6fc153a26",
+  "spacy_version":">=3.7.0,<3.8.0",
+  "spacy_git_version":"a89eae928",
   "vectors":{
     "width":100,
     "vectors":200000,
@@ -1268,90 +1268,85 @@
     "token_p":0.998565417,
     "token_r":0.9993300153,
     "token_f":0.9989475698,
-    "sents_p":0.9755011136,
-    "sents_r":0.9755011136,
-    "sents_f":0.9755011136,
-    "tag_acc":0.9695664657,
-    "pos_acc":0.969328676,
-    "morph_acc":0.9461192459,
-    "morph_micro_p":0.9747695504,
-    "morph_micro_r":0.9679415557,
-    "morph_micro_f":0.9713435539,
+    "sents_p":0.9776286353,
+    "sents_r":0.9732739421,
+    "sents_f":0.9754464286,
+    "tag_acc":0.9694736842,
+    "pos_acc":0.9686124402,
+    "morph_acc":0.9439180783,
+    "morph_micro_p":0.9764073207,
+    "morph_micro_r":0.9675118178,
+    "morph_micro_f":0.971939216,
     "morph_per_feat":{
       "Definite":{
-        "p":0.9739655974,
-        "r":0.9776014932,
-        "f":0.9757801584
+        "p":0.9722222222,
+        "r":0.979934671,
+        "f":0.9760632117
       },
       "PronType":{
-        "p":0.971869829,
-        "r":0.972406181,
-        "f":0.972137931
+        "p":0.97353914,
+        "r":0.9746136865,
+        "f":0.9740761169
       },
       "Case":{
-        "p":0.9844497608,
-        "r":0.9756965027,
-        "f":0.9800535874
+        "p":0.9836523126,
+        "r":0.974906145,
+        "f":0.9792597003
       },
       "Degree":{
-        "p":0.9401785714,
-        "r":0.8760399334,
-        "f":0.9069767442
+        "p":0.9437896646,
+        "r":0.8660565724,
+        "f":0.9032537961
       },
       "Number":{
-        "p":0.989758227,
-        "r":0.987933635,
-        "f":0.9888450893
+        "p":0.9899006901,
+        "r":0.9855873974,
+        "f":0.9877393349
       },
       "Mood":{
-        "p":0.9386637459,
-        "r":0.9501108647,
-        "f":0.9443526171
+        "p":0.9458563536,
+        "r":0.9490022173,
+        "f":0.947426674
       },
       "Person":{
-        "p":0.9571890145,
-        "r":0.9745065789,
-        "f":0.9657701711
+        "p":0.9670239077,
+        "r":0.9646381579,
+        "f":0.9658295595
       },
       "Tense":{
-        "p":0.9704271632,
-        "r":0.9790055249,
-        "f":0.9746974697
+        "p":0.9812154696,
+        "r":0.9812154696,
+        "f":0.9812154696
       },
       "VerbForm":{
-        "p":0.9651656754,
-        "r":0.9109863673,
-        "f":0.9372937294
+        "p":0.976450799,
+        "r":0.9310344828,
+        "f":0.9532019704
       },
       "Voice":{
-        "p":0.9625884732,
-        "r":0.9734151329,
-        "f":0.9679715302
+        "p":0.9714576962,
+        "r":0.9744376278,
+        "f":0.9729453803
       },
       "Number[psor]":{
-        "p":0.9884057971,
-        "r":0.9715099715,
-        "f":0.9798850575
+        "p":0.9771101574,
+        "r":0.9729344729,
+        "f":0.9750178444
       },
       "Person[psor]":{
-        "p":0.9869565217,
-        "r":0.9714693295,
-        "f":0.9791516894
+        "p":0.9771101574,
+        "r":0.9743223966,
+        "f":0.9757142857
       },
       "NumType":{
-        "p":0.9427207637,
-        "r":0.9634146341,
-        "f":0.9529553679
-      },
-      "Poss":{
-        "p":0.6,
-        "r":1.0,
-        "f":0.75
+        "p":0.9484029484,
+        "r":0.9414634146,
+        "f":0.9449204406
       },
       "Reflex":{
         "p":1.0,
-        "r":0.375,
-        "f":0.5454545455
+        "r":0.625,
+        "f":0.7692307692
       },
       "Reflexive":{
         "p":0.0,
@@ -1368,120 +1363,125 @@
         "r":0.0,
         "f":0.0
       },
+      "Poss":{
+        "p":0.6,
+        "r":1.0,
+        "f":0.75
+      },
       "Number[psed]":{
         "p":1.0,
         "r":0.1111111111,
         "f":0.2
       }
     },
-    "lemma_acc":0.974834944,
-    "dep_uas":0.8140300006,
-    "dep_las":0.7415379468,
+    "lemma_acc":0.9745478902,
+    "dep_uas":0.8147198216,
+    "dep_las":0.743867083,
     "dep_las_per_type":{
       "det":{
-        "p":0.86015625,
-        "r":0.8765923567,
-        "f":0.86829653
+        "p":0.8673946958,
+        "r":0.8853503185,
+        "f":0.8762805359
       },
       "amod:att":{
-        "p":0.8429617575,
-        "r":0.8470973017,
-        "f":0.8450244698
+        "p":0.8639736191,
+        "r":0.8569092396,
+        "f":0.8604269294
       },
       "nsubj":{
-        "p":0.7375,
-        "r":0.7375,
-        "f":0.7375
+        "p":0.7293934681,
+        "r":0.7328125,
+        "f":0.7310989867
       },
       "advmod:mode":{
-        "p":0.5593220339,
-        "r":0.5661764706,
-        "f":0.56272838
+        "p":0.5444191344,
+        "r":0.5857843137,
+        "f":0.5643447462
       },
       "nmod:att":{
-        "p":0.7669421488,
-        "r":0.786440678,
-        "f":0.7765690377
+        "p":0.7882960413,
+        "r":0.7762711864,
+        "f":0.7822374039
       },
       "obl":{
-        "p":0.7752707581,
-        "r":0.7731773177,
-        "f":0.7742226228
+        "p":0.7491289199,
+        "r":0.7740774077,
+        "f":0.761398849
       },
       "obj":{
-        "p":0.8482142857,
-        "r":0.8539325843,
-        "f":0.8510638298
+        "p":0.8519362187,
+        "r":0.8404494382,
+        "f":0.8461538462
       },
       "root":{
-        "p":0.8195991091,
-        "r":0.8195991091,
-        "f":0.8195991091
+        "p":0.8277404922,
+        "r":0.8240534521,
+        "f":0.8258928571
       },
       "cc":{
-        "p":0.6929637527,
-        "r":0.6842105263,
-        "f":0.688559322
+        "p":0.6731182796,
+        "r":0.6589473684,
+        "f":0.6659574468
       },
       "conj":{
-        "p":0.4356261023,
-        "r":0.5145833333,
-        "f":0.4718242598
+        "p":0.4225352113,
+        "r":0.5,
+        "f":0.4580152672
       },
       "advmod":{
-        "p":0.806122449,
-        "r":0.8315789474,
-        "f":0.8186528497
+        "p":0.824742268,
+        "r":0.8421052632,
+        "f":0.8333333333
       },
       "flat:name":{
-        "p":0.8444444444,
-        "r":0.8878504673,
-        "f":0.8656036446
+        "p":0.8240343348,
+        "r":0.8971962617,
+        "f":0.8590604027
       },
       "appos":{
-        "p":0.3950617284,
-        "r":0.3404255319,
-        "f":0.3657142857
+        "p":0.3975903614,
+        "r":0.3510638298,
+        "f":0.3728813559
       },
       "advcl":{
-        "p":0.2592592593,
-        "r":0.2142857143,
-        "f":0.2346368715
+        "p":0.2207792208,
+        "r":0.1734693878,
+        "f":0.1942857143
       },
       "advmod:tlocy":{
-        "p":0.6138211382,
+        "p":0.6371308017,
         "r":0.6565217391,
-        "f":0.6344537815
+        "f":0.6466809422
       },
       "ccomp:obj":{
-        "p":0.2040816327,
-        "r":0.303030303,
-        "f":0.243902439
+        "p":0.28,
+        "r":0.4242424242,
+        "f":0.3373493976
       },
       "mark":{
-        "p":0.821656051,
-        "r":0.8164556962,
-        "f":0.819047619
+        "p":0.8441558442,
+        "r":0.8227848101,
+        "f":0.8333333333
       },
       "compound:preverb":{
-        "p":0.8879310345,
-        "r":0.9449541284,
-        "f":0.9155555556
+        "p":0.9189189189,
+        "r":0.9357798165,
+        "f":0.9272727273
       },
       "advmod:locy":{
-        "p":0.7894736842,
-        "r":0.46875,
-        "f":0.5882352941
+        "p":0.8095238095,
+        "r":0.53125,
+        "f":0.641509434
       },
       "cop":{
-        "p":0.8214285714,
-        "r":0.5609756098,
-        "f":0.6666666667
+        "p":0.8064516129,
+        "r":0.6097560976,
+        "f":0.6944444444
       },
       "nmod:obl":{
-        "p":0.380952381,
-        "r":0.2,
-        "f":0.262295082
+        "p":0.125,
+        "r":0.075,
+        "f":0.09375
       },
       "advmod:to":{
         "p":0.0,
@@ -1494,86 +1494,96 @@
         "f":0.0
       },
       "ccomp:obl":{
-        "p":0.3461538462,
-        "r":0.28125,
-        "f":0.3103448276
+        "p":0.5652173913,
+        "r":0.40625,
+        "f":0.4727272727
       },
       "iobj":{
-        "p":0.2352941176,
+        "p":0.3076923077,
         "r":0.2666666667,
-        "f":0.25
-      },
-      "parataxis":{
-        "p":0.12,
-        "r":0.0410958904,
-        "f":0.0612244898
-      },
-      "dep":{
-        "p":0.0,
-        "r":0.0,
-        "f":0.0
+        "f":0.2857142857
       },
       "case":{
-        "p":0.9492385787,
-        "r":0.9540816327,
-        "f":0.951653944
+        "p":0.9390862944,
+        "r":0.943877551,
+        "f":0.941475827
       },
       "csubj":{
-        "p":0.4137931034,
-        "r":0.3243243243,
-        "f":0.3636363636
+        "p":0.4782608696,
+        "r":0.2972972973,
+        "f":0.3666666667
+      },
+      "parataxis":{
+        "p":0.2413793103,
+        "r":0.095890411,
+        "f":0.137254902
       },
       "xcomp":{
-        "p":0.8513513514,
-        "r":0.8513513514,
-        "f":0.8513513514
+        "p":0.9014084507,
+        "r":0.8648648649,
+        "f":0.8827586207
       },
       "nummod":{
-        "p":0.5145631068,
-        "r":0.5698924731,
-        "f":0.5408163265
+        "p":0.5794392523,
+        "r":0.6666666667,
+        "f":0.62
       },
       "acl":{
-        "p":0.2931034483,
-        "r":0.2361111111,
-        "f":0.2615384615
+        "p":0.4038461538,
+        "r":0.2916666667,
+        "f":0.3387096774
       },
       "advmod:tto":{
-        "p":0.6666666667,
+        "p":0.5,
         "r":0.2,
-        "f":0.3076923077
+        "f":0.2857142857
       },
       "nmod":{
-        "p":0.375,
-        "r":0.2727272727,
-        "f":0.3157894737
+        "p":0.4,
+        "r":0.1818181818,
+        "f":0.25
+      },
+      "ccomp":{
+        "p":0.1428571429,
+        "r":0.0769230769,
+        "f":0.1
+      },
+      "dep":{
+        "p":0.0,
+        "r":0.0,
+        "f":0.0
       },
       "aux":{
-        "p":0.9090909091,
-        "r":0.8333333333,
-        "f":0.8695652174
+        "p":0.8461538462,
+        "r":0.9166666667,
+        "f":0.88
       },
       "advmod:tfrom":{
         "p":0.0,
         "r":0.0,
         "f":0.0
       },
+      "list":{
+        "p":0.0769230769,
+        "r":0.1666666667,
+        "f":0.1052631579
+      },
       "goeswith":{
         "p":0.0,
         "r":0.0,
         "f":0.0
       },
       "compound":{
-        "p":0.95,
-        "r":0.95,
-        "f":0.95
+        "p":0.9285714286,
+        "r":0.975,
+        "f":0.9512195122
       },
-      "orphan":{
+      "obl:lvc":{
         "p":0.0,
         "r":0.0,
         "f":0.0
       },
-      "obl:lvc":{
+      "orphan":{
         "p":0.0,
         "r":0.0,
         "f":0.0
@@ -1583,53 +1593,43 @@
         "r":0.0,
         "f":0.0
       },
-      "list":{
-        "p":0.0909090909,
-        "r":0.1666666667,
-        "f":0.1176470588
-      },
-      "ccomp":{
-        "p":0.1428571429,
-        "r":0.0769230769,
-        "f":0.1
+      "advmod:que":{
+        "p":0.5,
+        "r":0.25,
+        "f":0.3333333333
       },
       "ccomp:pred":{
         "p":0.0,
         "r":0.0,
         "f":0.0
-      },
-      "advmod:que":{
-        "p":1.0,
-        "r":0.5,
-        "f":0.6666666667
       }
     },
-    "ents_p":0.8585339943,
-    "ents_r":0.8524964838,
-    "ents_f":0.8555045872,
+    "ents_p":0.8459219858,
+    "ents_r":0.8387834037,
+    "ents_f":0.8423375706,
     "ents_per_type":{
       "ORG":{
-        "p":0.8798206278,
-        "r":0.909596662,
-        "f":0.8944609072
+        "p":0.8763686131,
+        "r":0.8905887807,
+        "f":0.8834214762
       },
       "PER":{
-        "p":0.893373494,
-        "r":0.8859020311,
-        "f":0.8896220756
+        "p":0.8937998772,
+        "r":0.8697729988,
+        "f":0.8816227672
       },
       "LOC":{
-        "p":0.8763537906,
+        "p":0.8631111111,
         "r":0.8428819444,
-        "f":0.8592920354
+        "f":0.852876592
       },
       "MISC":{
-        "p":0.6661538462,
-        "r":0.6141843972,
-        "f":0.6391143911
+        "p":0.6095100865,
+        "r":0.6,
+        "f":0.6047176555
       }
     },
-    "speed":2610.2533974109
+    "speed":2571.9543216127
   },
   "sources":[
     {

morphologizer/model

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b59555ff38051fbf45fc3e5166e33ee0d78b41a030a35d062576a2f0648ee623
+oid sha256:d94c79de663f5f97b568c14633ae56d7f5d760997484752d23bea65b0b893cb1
 size 463022

ner/model

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:86aafd5f7fc971801c75f57099b3292f63f42cd253b617cf5682a3de2eb48a60
+oid sha256:d9ac04f677390bc6234834d283863ea0035c2d88fafa9742f0d14d05b52500c5
 size 9791307

parser/model

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a2f0a5847926d84b43cb4ac5291ddf93bce08ea4ef49cea67ba1c4b83deb8ab1
+oid sha256:6c9d8050c89a70230791b10b332f235d9519816c9ff18d7d87cf9aa4c1e40083
 size 25601129

senter/model

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b81540cfd184f400a3ff2dbcfbd2606cd3a65836e0ab348c3457d2d1dc66281a
+oid sha256:1d2f4a34e2f4cd9f766eac2476a2929adf82a335ff18611d4fffbc976a62520d
 size 1237

tagger/model

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:20cb552430c4dbb3880081377133931e3c64aea53924763c3d243275873d7e69
+oid sha256:e9edc7a5e306bdb61193547851bf6b090fd2731114a69398b171d99045fc91bb
 size 7297

tok2vec/model

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1f1cb7ce2115cc897e4c998494b76a9294ce994a3db586a31f8cbdf331cd4629
+oid sha256:56d7bd61838b579590581a9a1aadf39e6067c62dba35136fe74f4220f587b2e8
 size 9659749

trainable_lemmatizer/model

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ce0122da2b20fb63b9d9fb629a2ea663af3f1635f19761a23de9ec0ba9f7e3ed
+oid sha256:0f1903089bfb7ac344c3a197e44a9a367fabcaf51c5a6b533937d3976f7d7a76
 size 11282980

vocab/strings.json

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9df155e8041b21734b17f711752037219115a343ea0cae24210ede7ed702fe65
-size 6390329
+oid sha256:0ef5e125edd7df78f5f07048d5268a62335857da7c834fc9d02d77d88601526b
+size 6389762