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en_core_web_md

Token Classification
spaCy
English
Eval Results (legacy)
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Nitrino commited on
Commit
f46377d
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1 Parent(s): de88508

Update spaCy pipeline

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Files changed (19) hide show
  1. LICENSES_SOURCES +4 -4
  2. README.md +47 -40
  3. accuracy.json +204 -204
  4. attribute_ruler/patterns +0 -0
  5. config.cfg +7 -11
  6. en_core_web_md-any-py3-none-any.whl +2 -2
  7. meta.json +216 -213
  8. ner/model +2 -2
  9. ner/moves +1 -1
  10. parser/model +0 -0
  11. parser/moves +2 -1
  12. senter/model +0 -0
  13. tagger/cfg +0 -2
  14. tagger/model +0 -0
  15. tok2vec/model +2 -2
  16. tokenizer +0 -0
  17. vocab/key2row +2 -2
  18. vocab/strings.json +0 -0
  19. vocab/vectors +1 -1
LICENSES_SOURCES CHANGED
@@ -64,11 +64,11 @@ Princeton University and LICENSEE agrees to preserve same.```
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- # Explosion Vectors (OSCAR 2109 + Wikipedia + OpenSubtitles + WMT News Crawl)
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- * Author: Explosion
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- * URL: https://github.com/explosion/spacy-vectors-builder
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- * License: CC0
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  ```
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  The laws of most jurisdictions throughout the world automatically confer exclusive Copyright and Related Rights (defined below) upon the creator and subsequent owner(s) (each and all, an "owner") of an original work of authorship and/or a database (each, a "Work").
 
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+ # GloVe Common Crawl
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+ * Author: Jeffrey Pennington, Richard Socher, and Christopher D. Manning
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+ * URL: https://nlp.stanford.edu/projects/glove/
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+ * License: Public Domain Dedication and License v1.0
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  ```
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  The laws of most jurisdictions throughout the world automatically confer exclusive Copyright and Related Rights (defined below) upon the creator and subsequent owner(s) (each and all, an "owner") of an original work of authorship and/or a database (each, a "Work").
README.md CHANGED
@@ -14,41 +14,41 @@ model-index:
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  metrics:
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  - name: NER Precision
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  type: precision
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- value: 0.8494302632
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  - name: NER Recall
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  type: recall
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- value: 0.8549178686
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  - name: NER F Score
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  type: f_score
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- value: 0.8521652315
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  - task:
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  name: TAG
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  type: token-classification
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  metrics:
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  - name: TAG (XPOS) Accuracy
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  type: accuracy
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- value: 0.9732581964
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  - task:
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  name: UNLABELED_DEPENDENCIES
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  type: token-classification
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  metrics:
35
  - name: Unlabeled Attachment Score (UAS)
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  type: f_score
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- value: 0.9205112068
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  - task:
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  name: LABELED_DEPENDENCIES
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  type: token-classification
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  metrics:
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  - name: Labeled Attachment Score (LAS)
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  type: f_score
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- value: 0.9022890411
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  - task:
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  name: SENTS
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  type: token-classification
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  metrics:
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  - name: Sentences F-Score
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  type: f_score
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- value: 0.9076778775
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  ---
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  ---
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  tags:
@@ -66,41 +66,47 @@ model-index:
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  metrics:
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  - name: NER Precision
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  type: precision
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- value: 0.8494302632
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  - name: NER Recall
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  type: recall
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- value: 0.8549178686
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  - name: NER F Score
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  type: f_score
75
- value: 0.8521652315
76
  - task:
77
- name: TAG
78
  type: token-classification
79
  metrics:
80
- - name: TAG (XPOS) Accuracy
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  type: accuracy
82
- value: 0.9732581964
83
  - task:
84
- name: UNLABELED_DEPENDENCIES
85
  type: token-classification
86
  metrics:
87
- - name: Unlabeled Attachment Score (UAS)
 
 
 
 
 
 
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  type: f_score
89
- value: 0.9205112068
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  - task:
91
- name: LABELED_DEPENDENCIES
92
  type: token-classification
93
  metrics:
94
- - name: Labeled Attachment Score (LAS)
95
- type: f_score
96
- value: 0.9022890411
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  - task:
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- name: SENTS
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  type: token-classification
100
  metrics:
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- - name: Sentences F-Score
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- type: f_score
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- value: 0.9076778775
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  ---
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  ### Details: https://spacy.io/models/en#en_core_web_md
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@@ -109,12 +115,12 @@ English pipeline optimized for CPU. Components: tok2vec, tagger, parser, senter,
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  | Feature | Description |
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  | --- | --- |
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  | **Name** | `en_core_web_md` |
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- | **Version** | `3.5.0` |
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- | **spaCy** | `>=3.5.0,<3.6.0` |
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  | **Default Pipeline** | `tok2vec`, `tagger`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
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  | **Components** | `tok2vec`, `tagger`, `parser`, `senter`, `attribute_ruler`, `lemmatizer`, `ner` |
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- | **Vectors** | 514157 keys, 20000 unique vectors (300 dimensions) |
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- | **Sources** | [OntoNotes 5](https://catalog.ldc.upenn.edu/LDC2013T19) (Ralph Weischedel, Martha Palmer, Mitchell Marcus, Eduard Hovy, Sameer Pradhan, Lance Ramshaw, Nianwen Xue, Ann Taylor, Jeff Kaufman, Michelle Franchini, Mohammed El-Bachouti, Robert Belvin, Ann Houston)<br />[ClearNLP Constituent-to-Dependency Conversion](https://github.com/clir/clearnlp-guidelines/blob/master/md/components/dependency_conversion.md) (Emory University)<br />[WordNet 3.0](https://wordnet.princeton.edu/) (Princeton University)<br />[Explosion Vectors (OSCAR 2109 + Wikipedia + OpenSubtitles + WMT News Crawl)](https://github.com/explosion/spacy-vectors-builder) (Explosion) |
118
  | **License** | `MIT` |
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  | **Author** | [Explosion](https://explosion.ai) |
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@@ -122,12 +128,13 @@ English pipeline optimized for CPU. Components: tok2vec, tagger, parser, senter,
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  <details>
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- <summary>View label scheme (113 labels for 3 components)</summary>
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127
  | Component | Labels |
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  | --- | --- |
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- | **`tagger`** | `$`, `''`, `,`, `-LRB-`, `-RRB-`, `.`, `:`, `ADD`, `AFX`, `CC`, `CD`, `DT`, `EX`, `FW`, `HYPH`, `IN`, `JJ`, `JJR`, `JJS`, `LS`, `MD`, `NFP`, `NN`, `NNP`, `NNPS`, `NNS`, `PDT`, `POS`, `PRP`, `PRP$`, `RB`, `RBR`, `RBS`, `RP`, `SYM`, `TO`, `UH`, `VB`, `VBD`, `VBG`, `VBN`, `VBP`, `VBZ`, `WDT`, `WP`, `WP$`, `WRB`, `XX`, `_SP`, ```` |
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  | **`parser`** | `ROOT`, `acl`, `acomp`, `advcl`, `advmod`, `agent`, `amod`, `appos`, `attr`, `aux`, `auxpass`, `case`, `cc`, `ccomp`, `compound`, `conj`, `csubj`, `csubjpass`, `dative`, `dep`, `det`, `dobj`, `expl`, `intj`, `mark`, `meta`, `neg`, `nmod`, `npadvmod`, `nsubj`, `nsubjpass`, `nummod`, `oprd`, `parataxis`, `pcomp`, `pobj`, `poss`, `preconj`, `predet`, `prep`, `prt`, `punct`, `quantmod`, `relcl`, `xcomp` |
 
131
  | **`ner`** | `CARDINAL`, `DATE`, `EVENT`, `FAC`, `GPE`, `LANGUAGE`, `LAW`, `LOC`, `MONEY`, `NORP`, `ORDINAL`, `ORG`, `PERCENT`, `PERSON`, `PRODUCT`, `QUANTITY`, `TIME`, `WORK_OF_ART` |
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  </details>
@@ -136,16 +143,16 @@ English pipeline optimized for CPU. Components: tok2vec, tagger, parser, senter,
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  | Type | Score |
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  | --- | --- |
139
- | `TOKEN_ACC` | 99.86 |
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  | `TOKEN_P` | 99.57 |
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  | `TOKEN_R` | 99.58 |
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  | `TOKEN_F` | 99.57 |
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- | `TAG_ACC` | 97.33 |
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- | `SENTS_P` | 92.21 |
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- | `SENTS_R` | 89.37 |
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- | `SENTS_F` | 90.77 |
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- | `DEP_UAS` | 92.05 |
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- | `DEP_LAS` | 90.23 |
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- | `ENTS_P` | 84.94 |
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- | `ENTS_R` | 85.49 |
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- | `ENTS_F` | 85.22 |
 
14
  metrics:
15
  - name: NER Precision
16
  type: precision
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+ value: 0.8531330602
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  - name: NER Recall
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  type: recall
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+ value: 0.8448016827
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  - name: NER F Score
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  type: f_score
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+ value: 0.8489469314
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  - task:
25
  name: TAG
26
  type: token-classification
27
  metrics:
28
  - name: TAG (XPOS) Accuracy
29
  type: accuracy
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+ value: 0.9736958159
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  - task:
32
  name: UNLABELED_DEPENDENCIES
33
  type: token-classification
34
  metrics:
35
  - name: Unlabeled Attachment Score (UAS)
36
  type: f_score
37
+ value: 0.9186827918
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  - task:
39
  name: LABELED_DEPENDENCIES
40
  type: token-classification
41
  metrics:
42
  - name: Labeled Attachment Score (LAS)
43
  type: f_score
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+ value: 0.9006556195
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  - task:
46
  name: SENTS
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  type: token-classification
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  metrics:
49
  - name: Sentences F-Score
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  type: f_score
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+ value: 0.9029823331
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  ---
53
  ---
54
  tags:
 
66
  metrics:
67
  - name: NER Precision
68
  type: precision
69
+ value: 0.8531330602
70
  - name: NER Recall
71
  type: recall
72
+ value: 0.8448016827
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  - name: NER F Score
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  type: f_score
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+ value: 0.8489469314
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  - task:
77
+ name: POS
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  type: token-classification
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  metrics:
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+ - name: POS Accuracy
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  type: accuracy
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+ value: 0.9736958159
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  - task:
84
+ name: SENTER
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  type: token-classification
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  metrics:
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+ - name: SENTER Precision
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+ type: precision
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+ value: 0.9144345238
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+ - name: SENTER Recall
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+ type: recall
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+ value: 0.8918134442
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+ - name: SENTER F Score
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  type: f_score
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+ value: 0.9029823331
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  - task:
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+ name: UNLABELED_DEPENDENCIES
98
  type: token-classification
99
  metrics:
100
+ - name: Unlabeled Dependencies Accuracy
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+ type: accuracy
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+ value: 0.9186827918
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  - task:
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+ name: LABELED_DEPENDENCIES
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  type: token-classification
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  metrics:
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+ - name: Labeled Dependencies Accuracy
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+ type: accuracy
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+ value: 0.9186827918
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  ---
111
  ### Details: https://spacy.io/models/en#en_core_web_md
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115
  | Feature | Description |
116
  | --- | --- |
117
  | **Name** | `en_core_web_md` |
118
+ | **Version** | `3.2.0` |
119
+ | **spaCy** | `>=3.2.0,<3.3.0` |
120
  | **Default Pipeline** | `tok2vec`, `tagger`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
121
  | **Components** | `tok2vec`, `tagger`, `parser`, `senter`, `attribute_ruler`, `lemmatizer`, `ner` |
122
+ | **Vectors** | 684830 keys, 20000 unique vectors (300 dimensions) |
123
+ | **Sources** | [OntoNotes 5](https://catalog.ldc.upenn.edu/LDC2013T19) (Ralph Weischedel, Martha Palmer, Mitchell Marcus, Eduard Hovy, Sameer Pradhan, Lance Ramshaw, Nianwen Xue, Ann Taylor, Jeff Kaufman, Michelle Franchini, Mohammed El-Bachouti, Robert Belvin, Ann Houston)<br />[ClearNLP Constituent-to-Dependency Conversion](https://github.com/clir/clearnlp-guidelines/blob/master/md/components/dependency_conversion.md) (Emory University)<br />[WordNet 3.0](https://wordnet.princeton.edu/) (Princeton University)<br />[GloVe Common Crawl](https://nlp.stanford.edu/projects/glove/) (Jeffrey Pennington, Richard Socher, and Christopher D. Manning) |
124
  | **License** | `MIT` |
125
  | **Author** | [Explosion](https://explosion.ai) |
126
 
 
128
 
129
  <details>
130
 
131
+ <summary>View label scheme (114 labels for 4 components)</summary>
132
 
133
  | Component | Labels |
134
  | --- | --- |
135
+ | **`tagger`** | `$`, `''`, `,`, `-LRB-`, `-RRB-`, `.`, `:`, `ADD`, `AFX`, `CC`, `CD`, `DT`, `EX`, `FW`, `HYPH`, `IN`, `JJ`, `JJR`, `JJS`, `LS`, `MD`, `NFP`, `NN`, `NNP`, `NNPS`, `NNS`, `PDT`, `POS`, `PRP`, `PRP$`, `RB`, `RBR`, `RBS`, `RP`, `SYM`, `TO`, `UH`, `VB`, `VBD`, `VBG`, `VBN`, `VBP`, `VBZ`, `WDT`, `WP`, `WP$`, `WRB`, `XX`, ```` |
136
  | **`parser`** | `ROOT`, `acl`, `acomp`, `advcl`, `advmod`, `agent`, `amod`, `appos`, `attr`, `aux`, `auxpass`, `case`, `cc`, `ccomp`, `compound`, `conj`, `csubj`, `csubjpass`, `dative`, `dep`, `det`, `dobj`, `expl`, `intj`, `mark`, `meta`, `neg`, `nmod`, `npadvmod`, `nsubj`, `nsubjpass`, `nummod`, `oprd`, `parataxis`, `pcomp`, `pobj`, `poss`, `preconj`, `predet`, `prep`, `prt`, `punct`, `quantmod`, `relcl`, `xcomp` |
137
+ | **`senter`** | `I`, `S` |
138
  | **`ner`** | `CARDINAL`, `DATE`, `EVENT`, `FAC`, `GPE`, `LANGUAGE`, `LAW`, `LOC`, `MONEY`, `NORP`, `ORDINAL`, `ORG`, `PERCENT`, `PERSON`, `PRODUCT`, `QUANTITY`, `TIME`, `WORK_OF_ART` |
139
 
140
  </details>
 
143
 
144
  | Type | Score |
145
  | --- | --- |
146
+ | `TOKEN_ACC` | 99.93 |
147
  | `TOKEN_P` | 99.57 |
148
  | `TOKEN_R` | 99.58 |
149
  | `TOKEN_F` | 99.57 |
150
+ | `TAG_ACC` | 97.37 |
151
+ | `SENTS_P` | 91.44 |
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+ | `SENTS_R` | 89.18 |
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+ | `SENTS_F` | 90.30 |
154
+ | `DEP_UAS` | 91.87 |
155
+ | `DEP_LAS` | 90.07 |
156
+ | `ENTS_P` | 85.31 |
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+ | `ENTS_R` | 84.48 |
158
+ | `ENTS_F` | 84.89 |
accuracy.json CHANGED
@@ -1,109 +1,109 @@
1
  {
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- "token_acc": 0.9986194413,
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- "token_p": 0.9956819193,
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- "token_r": 0.9957659295,
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- "token_f": 0.9957239226,
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- "tag_acc": 0.9732581964,
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- "sents_p": 0.9220717348,
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- "sents_r": 0.8937264991,
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- "sents_f": 0.9076778775,
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- "dep_uas": 0.9205112068,
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- "dep_las": 0.9022890411,
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  "dep_las_per_type": {
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  "prep": {
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- "p": 0.8600946728,
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- "r": 0.8686776703,
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- "f": 0.8643648651
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  },
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  "det": {
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- "p": 0.9784954995,
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- "r": 0.9795726984,
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- "f": 0.9790338026
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  },
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  "pobj": {
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- "p": 0.9627663726,
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- "r": 0.9687021402,
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- "f": 0.9657251356
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  },
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  "nsubj": {
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- "p": 0.9581267705,
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- "r": 0.9483461117,
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- "f": 0.9532113526
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  },
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  "aux": {
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- "p": 0.9809024694,
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- "r": 0.9830855515,
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- "f": 0.9819927971
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  },
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  "advmod": {
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- "p": 0.8600558423,
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- "r": 0.8552078075,
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- "f": 0.8576249736
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  },
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  "relcl": {
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- "p": 0.7668209327,
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- "r": 0.7815674891,
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- "f": 0.7741239892
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  },
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  "root": {
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- "p": 0.9203949608,
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- "r": 0.8916155419,
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- "f": 0.9057767055
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  },
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  "xcomp": {
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- "p": 0.8884574656,
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- "r": 0.9034458004,
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- "f": 0.8958889482
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  },
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  "amod": {
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- "p": 0.919493737,
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- "r": 0.9131195335,
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- "f": 0.9162955498
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  },
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  "compound": {
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- "p": 0.9178322637,
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- "r": 0.9318890622,
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- "f": 0.9248072512
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  },
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  "poss": {
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- "p": 0.9740755627,
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- "r": 0.9756441224,
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- "f": 0.9748592116
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  },
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  "ccomp": {
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- "p": 0.7796324081,
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- "r": 0.8466395112,
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- "f": 0.8117555165
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  },
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  "attr": {
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- "p": 0.9070904645,
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- "r": 0.9360807401,
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- "f": 0.9213576159
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  },
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  "case": {
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- "p": 0.980188212,
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- "r": 0.9904904905,
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- "f": 0.9853124222
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  },
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  "mark": {
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- "p": 0.9064065384,
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- "r": 0.9109697933,
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- "f": 0.9086824369
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  },
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  "intj": {
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- "p": 0.6742364918,
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- "r": 0.6307692308,
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- "f": 0.6517789553
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  },
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  "advcl": {
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- "p": 0.6793032787,
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- "r": 0.6678418534,
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- "f": 0.6735238095
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  },
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  "cc": {
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- "p": 0.8407122233,
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- "r": 0.8357851932,
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- "f": 0.8382414682
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  },
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  "neg": {
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  "p": 0.9431988042,
@@ -111,220 +111,220 @@
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  "f": 0.9465
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  },
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  "conj": {
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- "p": 0.7720826076,
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- "r": 0.7812185297,
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- "f": 0.7766237017
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  },
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  "nsubjpass": {
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- "p": 0.9211997966,
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- "r": 0.9292307692,
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- "f": 0.9251978555
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  },
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  "auxpass": {
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- "p": 0.9465311533,
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- "r": 0.9758542141,
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- "f": 0.9609690444
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  },
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  "dobj": {
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- "p": 0.9266134085,
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- "r": 0.9427842856,
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- "f": 0.9346289055
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  },
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  "nummod": {
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- "p": 0.9384693618,
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- "r": 0.9320707071,
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- "f": 0.9352590903
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  },
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  "npadvmod": {
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- "p": 0.7770219199,
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- "r": 0.7303730018,
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- "f": 0.7529756455
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  },
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  "prt": {
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- "p": 0.8134206219,
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- "r": 0.8906810036,
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- "f": 0.8502994012
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  },
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  "pcomp": {
149
- "p": 0.8900785153,
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- "r": 0.8732492997,
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- "f": 0.8815835984
152
  },
153
  "expl": {
154
- "p": 0.9809725159,
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- "r": 0.9935760171,
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- "f": 0.9872340426
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  },
158
  "acl": {
159
- "p": 0.7492762015,
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- "r": 0.7059465357,
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- "f": 0.7269662921
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  },
163
  "agent": {
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- "p": 0.8900169205,
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- "r": 0.9426523297,
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- "f": 0.9155787641
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  },
168
  "dative": {
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- "p": 0.8016085791,
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- "r": 0.6857798165,
171
- "f": 0.739184178
172
  },
173
  "acomp": {
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- "p": 0.9135460009,
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- "r": 0.8961451247,
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- "f": 0.9047619048
177
  },
178
  "dep": {
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- "p": 0.3758389262,
180
- "r": 0.1818181818,
181
- "f": 0.2450765864
182
  },
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  "csubj": {
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- "p": 0.7878787879,
185
- "r": 0.7692307692,
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- "f": 0.7784431138
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  },
188
  "quantmod": {
189
- "p": 0.8629893238,
190
- "r": 0.7879772543,
191
- "f": 0.8237791932
192
  },
193
  "nmod": {
194
- "p": 0.7400150716,
195
- "r": 0.5984156002,
196
- "f": 0.6617250674
197
  },
198
  "appos": {
199
- "p": 0.702283105,
200
- "r": 0.6672451193,
201
- "f": 0.6843159066
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  },
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config.cfg CHANGED
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55
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56
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61
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@@ -93,9 +93,8 @@ overwrite = false
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95
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97
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100
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101
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@@ -116,14 +115,12 @@ maxout_pieces = 2
116
 
117
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118
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123
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128
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146
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@@ -177,12 +174,11 @@ dropout = 0.1
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187
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61
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116
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121
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143
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118
  "relcl",
119
  "xcomp"
120
  ],
 
 
 
 
121
  "attribute_ruler":[
122
 
123
  ],
@@ -166,111 +169,111 @@
166
  "senter"
167
  ],
168
  "performance":{
169
- "token_acc":0.9986194413,
170
- "token_p":0.9956819193,
171
- "token_r":0.9957659295,
172
- "token_f":0.9957239226,
173
- "tag_acc":0.9732581964,
174
- "sents_p":0.9220717348,
175
- "sents_r":0.8937264991,
176
- "sents_f":0.9076778775,
177
- "dep_uas":0.9205112068,
178
- "dep_las":0.9022890411,
179
  "dep_las_per_type":{
180
  "prep":{
181
- "p":0.8600946728,
182
- "r":0.8686776703,
183
- "f":0.8643648651
184
  },
185
  "det":{
186
- "p":0.9784954995,
187
- "r":0.9795726984,
188
- "f":0.9790338026
189
  },
190
  "pobj":{
191
- "p":0.9627663726,
192
- "r":0.9687021402,
193
- "f":0.9657251356
194
  },
195
  "nsubj":{
196
- "p":0.9581267705,
197
- "r":0.9483461117,
198
- "f":0.9532113526
199
  },
200
  "aux":{
201
- "p":0.9809024694,
202
- "r":0.9830855515,
203
- "f":0.9819927971
204
  },
205
  "advmod":{
206
- "p":0.8600558423,
207
- "r":0.8552078075,
208
- "f":0.8576249736
209
  },
210
  "relcl":{
211
- "p":0.7668209327,
212
- "r":0.7815674891,
213
- "f":0.7741239892
214
  },
215
  "root":{
216
- "p":0.9203949608,
217
- "r":0.8916155419,
218
- "f":0.9057767055
219
  },
220
  "xcomp":{
221
- "p":0.8884574656,
222
- "r":0.9034458004,
223
- "f":0.8958889482
224
  },
225
  "amod":{
226
- "p":0.919493737,
227
- "r":0.9131195335,
228
- "f":0.9162955498
229
  },
230
  "compound":{
231
- "p":0.9178322637,
232
- "r":0.9318890622,
233
- "f":0.9248072512
234
  },
235
  "poss":{
236
- "p":0.9740755627,
237
- "r":0.9756441224,
238
- "f":0.9748592116
239
  },
240
  "ccomp":{
241
- "p":0.7796324081,
242
- "r":0.8466395112,
243
- "f":0.8117555165
244
  },
245
  "attr":{
246
- "p":0.9070904645,
247
- "r":0.9360807401,
248
- "f":0.9213576159
249
  },
250
  "case":{
251
- "p":0.980188212,
252
- "r":0.9904904905,
253
- "f":0.9853124222
254
  },
255
  "mark":{
256
- "p":0.9064065384,
257
- "r":0.9109697933,
258
- "f":0.9086824369
259
  },
260
  "intj":{
261
- "p":0.6742364918,
262
- "r":0.6307692308,
263
- "f":0.6517789553
264
  },
265
  "advcl":{
266
- "p":0.6793032787,
267
- "r":0.6678418534,
268
- "f":0.6735238095
269
  },
270
  "cc":{
271
- "p":0.8407122233,
272
- "r":0.8357851932,
273
- "f":0.8382414682
274
  },
275
  "neg":{
276
  "p":0.9431988042,
@@ -278,222 +281,222 @@
278
  "f":0.9465
279
  },
280
  "conj":{
281
- "p":0.7720826076,
282
- "r":0.7812185297,
283
- "f":0.7766237017
284
  },
285
  "nsubjpass":{
286
- "p":0.9211997966,
287
- "r":0.9292307692,
288
- "f":0.9251978555
289
  },
290
  "auxpass":{
291
- "p":0.9465311533,
292
- "r":0.9758542141,
293
- "f":0.9609690444
294
  },
295
  "dobj":{
296
- "p":0.9266134085,
297
- "r":0.9427842856,
298
- "f":0.9346289055
299
  },
300
  "nummod":{
301
- "p":0.9384693618,
302
- "r":0.9320707071,
303
- "f":0.9352590903
304
  },
305
  "npadvmod":{
306
- "p":0.7770219199,
307
- "r":0.7303730018,
308
- "f":0.7529756455
309
  },
310
  "prt":{
311
- "p":0.8134206219,
312
- "r":0.8906810036,
313
- "f":0.8502994012
314
  },
315
  "pcomp":{
316
- "p":0.8900785153,
317
- "r":0.8732492997,
318
- "f":0.8815835984
319
  },
320
  "expl":{
321
- "p":0.9809725159,
322
- "r":0.9935760171,
323
- "f":0.9872340426
324
  },
325
  "acl":{
326
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327
- "r":0.7059465357,
328
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329
  },
330
  "agent":{
331
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332
- "r":0.9426523297,
333
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334
  },
335
  "dative":{
336
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337
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338
- "f":0.739184178
339
  },
340
  "acomp":{
341
- "p":0.9135460009,
342
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343
- "f":0.9047619048
344
  },
345
  "dep":{
346
- "p":0.3758389262,
347
- "r":0.1818181818,
348
- "f":0.2450765864
349
  },
350
  "csubj":{
351
- "p":0.7878787879,
352
- "r":0.7692307692,
353
- "f":0.7784431138
354
  },
355
  "quantmod":{
356
- "p":0.8629893238,
357
- "r":0.7879772543,
358
- "f":0.8237791932
359
  },
360
  "nmod":{
361
- "p":0.7400150716,
362
- "r":0.5984156002,
363
- "f":0.6617250674
364
  },
365
  "appos":{
366
- "p":0.702283105,
367
- "r":0.6672451193,
368
- "f":0.6843159066
369
  },
370
  "predet":{
371
- "p":0.84,
372
  "r":0.9012875536,
373
- "f":0.8695652174
374
  },
375
  "preconj":{
376
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377
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378
- "f":0.449339207
379
  },
380
  "oprd":{
381
- "p":0.8333333333,
382
- "r":0.7462686567,
383
- "f":0.7874015748
384
  },
385
  "parataxis":{
386
- "p":0.6051948052,
387
- "r":0.5054229935,
388
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389
  },
390
  "meta":{
391
- "p":0.78125,
392
- "r":0.4807692308,
393
- "f":0.5952380952
394
  },
395
  "csubjpass":{
396
- "p":0.5555555556,
397
- "r":0.8333333333,
398
- "f":0.6666666667
399
  }
400
  },
401
- "ents_p":0.8494302632,
402
- "ents_r":0.8549178686,
403
- "ents_f":0.8521652315,
404
  "ents_per_type":{
405
  "DATE":{
406
- "p":0.8584701146,
407
- "r":0.88,
408
- "f":0.8691017401
409
  },
410
  "GPE":{
411
- "p":0.9209341587,
412
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413
- "f":0.916935145
414
  },
415
  "ORDINAL":{
416
- "p":0.7768595041,
417
- "r":0.8757763975,
418
- "f":0.8233576642
 
 
 
 
 
419
  },
420
  "ORG":{
421
- "p":0.8124188101,
422
- "r":0.8290031813,
423
- "f":0.8206272143
424
  },
425
  "QUANTITY":{
426
- "p":0.8053691275,
427
- "r":0.6593406593,
428
- "f":0.7250755287
429
  },
430
  "CARDINAL":{
431
- "p":0.8215281651,
432
- "r":0.8757431629,
433
- "f":0.8477697842
434
- },
435
- "FAC":{
436
- "p":0.425,
437
- "r":0.3923076923,
438
- "f":0.408
439
- },
440
- "PERSON":{
441
- "p":0.8683001531,
442
- "r":0.9252610966,
443
- "f":0.8958761258
444
  },
445
  "NORP":{
446
- "p":0.8922716628,
447
- "r":0.9144,
448
- "f":0.9032003161
449
  },
450
  "LOC":{
451
- "p":0.7168458781,
452
- "r":0.6369426752,
453
- "f":0.6745362563
 
 
 
 
 
454
  },
455
  "TIME":{
456
- "p":0.7065527066,
457
- "r":0.7251461988,
458
- "f":0.7157287157
459
  },
460
- "MONEY":{
461
- "p":0.9112709832,
462
- "r":0.8972845336,
463
- "f":0.9042236764
464
  },
465
- "WORK_OF_ART":{
466
- "p":0.4113475177,
467
- "r":0.2989690722,
468
- "f":0.3462686567
469
  },
470
  "EVENT":{
471
- "p":0.6024096386,
472
- "r":0.2873563218,
473
- "f":0.3891050584
 
 
 
 
 
474
  },
475
  "LAW":{
476
- "p":0.5737704918,
477
- "r":0.546875,
478
- "f":0.56
479
  },
480
  "PERCENT":{
481
- "p":0.9020537125,
482
- "r":0.8744257274,
483
- "f":0.8880248834
484
  },
485
  "LANGUAGE":{
486
- "p":0.7083333333,
487
- "r":0.53125,
488
- "f":0.6071428571
489
- },
490
- "PRODUCT":{
491
- "p":0.6363636364,
492
- "r":0.2654028436,
493
- "f":0.3745819398
494
  }
495
  },
496
- "speed":9607.0019342563
497
  },
498
  "sources":[
499
  {
@@ -515,10 +518,10 @@
515
  "license":"WordNet 3.0 License"
516
  },
517
  {
518
- "name":"Explosion Vectors (OSCAR 2109 + Wikipedia + OpenSubtitles + WMT News Crawl)",
519
- "url":"https://github.com/explosion/spacy-vectors-builder",
520
- "license":"CC0",
521
- "author":"Explosion"
522
  }
523
  ],
524
  "requirements":[
 
1
  {
2
  "lang":"en",
3
  "name":"core_web_md",
4
+ "version":"3.2.0",
5
  "description":"English pipeline optimized for CPU. Components: tok2vec, tagger, parser, senter, ner, attribute_ruler, lemmatizer.",
6
  "author":"Explosion",
7
  "email":"contact@explosion.ai",
8
  "url":"https://explosion.ai",
9
  "license":"MIT",
10
+ "spacy_version":">=3.2.0,<3.3.0",
11
+ "spacy_git_version":"bb26550e2",
12
  "vectors":{
13
  "width":300,
14
  "vectors":20000,
15
+ "keys":684830,
16
  "name":"en_vectors"
17
  },
18
  "labels":{
 
68
  "WP$",
69
  "WRB",
70
  "XX",
 
71
  "``"
72
  ],
73
  "parser":[
 
117
  "relcl",
118
  "xcomp"
119
  ],
120
+ "senter":[
121
+ "I",
122
+ "S"
123
+ ],
124
  "attribute_ruler":[
125
 
126
  ],
 
169
  "senter"
170
  ],
171
  "performance":{
172
+ "token_acc":0.9993053983,
173
+ "token_p":0.9956742163,
174
+ "token_r":0.9957505887,
175
+ "token_f":0.9957124011,
176
+ "tag_acc":0.9736958159,
177
+ "sents_p":0.9144345238,
178
+ "sents_r":0.8918134442,
179
+ "sents_f":0.9029823331,
180
+ "dep_uas":0.9186827918,
181
+ "dep_las":0.9006556195,
182
  "dep_las_per_type":{
183
  "prep":{
184
+ "p":0.8569122175,
185
+ "r":0.8659836843,
186
+ "f":0.8614240691
187
  },
188
  "det":{
189
+ "p":0.9770765472,
190
+ "r":0.9784310528,
191
+ "f":0.9777533309
192
  },
193
  "pobj":{
194
+ "p":0.9611128429,
195
+ "r":0.968623601,
196
+ "f":0.9648536056
197
  },
198
  "nsubj":{
199
+ "p":0.9594312375,
200
+ "r":0.9459802848,
201
+ "f":0.9526582837
202
  },
203
  "aux":{
204
+ "p":0.9797621161,
205
+ "r":0.9826404344,
206
+ "f":0.9811991644
207
  },
208
  "advmod":{
209
+ "p":0.8561672709,
210
+ "r":0.8543664816,
211
+ "f":0.8552659283
212
  },
213
  "relcl":{
214
+ "p":0.765480427,
215
+ "r":0.780478955,
216
+ "f":0.772906935
217
  },
218
  "root":{
219
+ "p":0.9166215118,
220
+ "r":0.8927369879,
221
+ "f":0.9045216055
222
  },
223
  "xcomp":{
224
+ "p":0.8828097423,
225
+ "r":0.8977027997,
226
+ "f":0.8901939847
227
  },
228
  "amod":{
229
+ "p":0.92090506,
230
+ "r":0.9149983803,
231
+ "f":0.9179422183
232
  },
233
  "compound":{
234
+ "p":0.917950968,
235
+ "r":0.9321118289,
236
+ "f":0.924977203
237
  },
238
  "poss":{
239
+ "p":0.9744877461,
240
+ "r":0.9764492754,
241
+ "f":0.9754675246
242
  },
243
  "ccomp":{
244
+ "p":0.7754030746,
245
+ "r":0.8423625255,
246
+ "f":0.8074970715
247
  },
248
  "attr":{
249
+ "p":0.8974979822,
250
+ "r":0.9352396972,
251
+ "f":0.9159802306
252
  },
253
  "case":{
254
+ "p":0.9811881188,
255
+ "r":0.991991992,
256
+ "f":0.9865604778
257
  },
258
  "mark":{
259
+ "p":0.9043686734,
260
+ "r":0.8995760466,
261
+ "f":0.9019659936
262
  },
263
  "intj":{
264
+ "p":0.6650717703,
265
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266
+ "f":0.636884307
267
  },
268
  "advcl":{
269
+ "p":0.6723033564,
270
+ "r":0.6607907328,
271
+ "f":0.666497333
272
  },
273
  "cc":{
274
+ "p":0.835978836,
275
+ "r":0.8314794881,
276
+ "f":0.8337230917
277
  },
278
  "neg":{
279
  "p":0.9431988042,
 
281
  "f":0.9465
282
  },
283
  "conj":{
284
+ "p":0.7615497433,
285
+ "r":0.7843655589,
286
+ "f":0.7727892844
287
  },
288
  "nsubjpass":{
289
+ "p":0.9269311065,
290
+ "r":0.9107692308,
291
+ "f":0.9187790998
292
  },
293
  "auxpass":{
294
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295
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296
+ "f":0.9596027985
297
  },
298
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299
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300
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301
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302
  },
303
  "nummod":{
304
+ "p":0.9399338254,
305
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306
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307
  },
308
  "npadvmod":{
309
+ "p":0.7793445122,
310
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311
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312
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313
  "prt":{
314
+ "p":0.8145094806,
315
+ "r":0.8853046595,
316
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317
  },
318
  "pcomp":{
319
+ "p":0.8889679715,
320
+ "r":0.8746498599,
321
+ "f":0.8817507942
322
  },
323
  "expl":{
324
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325
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326
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327
  },
328
  "acl":{
329
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330
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331
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332
  },
333
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334
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335
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336
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337
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338
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339
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340
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341
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342
  },
343
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344
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345
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346
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347
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348
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349
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350
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351
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352
  },
353
  "csubj":{
354
+ "p":0.8098591549,
355
+ "r":0.6804733728,
356
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357
  },
358
  "quantmod":{
359
+ "p":0.8739800544,
360
+ "r":0.7831031682,
361
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362
  },
363
  "nmod":{
364
+ "p":0.7614457831,
365
+ "r":0.5776965265,
366
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367
  },
368
  "appos":{
369
+ "p":0.6850678733,
370
+ "r":0.6568329718,
371
+ "f":0.6706533776
372
  },
373
  "predet":{
374
+ "p":0.8467741935,
375
  "r":0.9012875536,
376
+ "f":0.8731808732
377
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378
  "preconj":{
379
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380
+ "r":0.6279069767,
381
+ "f":0.5837837838
382
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383
  "oprd":{
384
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385
+ "r":0.728358209,
386
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387
  },
388
  "parataxis":{
389
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390
+ "r":0.4707158351,
391
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392
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393
  "meta":{
394
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395
+ "r":0.3076923077,
396
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397
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398
  "csubjpass":{
399
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400
+ "r":0.6666666667,
401
+ "f":0.6153846154
402
  }
403
  },
404
+ "ents_p":0.8531330602,
405
+ "ents_r":0.8448016827,
406
+ "ents_f":0.8489469314,
407
  "ents_per_type":{
408
  "DATE":{
409
+ "p":0.8645998102,
410
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