Adriane Boyd commited on
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Update spaCy pipeline

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@@ -438,886 +438,6 @@ Creative Commons may be contacted at creativecommons.org.
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- # Macedonian Corpus
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-
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- * Author: Damjan Zlatinov, Melanija Gerasimovska, Borijan Georgievski, Marija Todosovska
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- * URL: https://blog.netcetera.com/macedonian-spacy-f3c85484777f
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- * License: CC BY-SA 4.0
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-
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- ```
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- Creative Commons may be contacted at creativecommons.org.
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-
876
- ```
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-
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-
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-
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-
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- # Macedonian Corpus
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-
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- * Author: Damjan Zlatinov, Melanija Gerasimovska, Borijan Georgievski, Marija Todosovska
884
- * URL: https://blog.netcetera.com/macedonian-spacy-f3c85484777f
885
- * License: CC BY-SA 4.0
886
-
887
- ```
888
- Attribution-ShareAlike 4.0 International
889
-
890
- =======================================================================
891
-
892
- Creative Commons Corporation ("Creative Commons") is not a law firm and
893
- does not provide legal services or legal advice. Distribution of
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895
- other relationship. Creative Commons makes its licenses and related
896
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- terms and conditions, or any related information. Creative Commons
899
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- fullest extent possible.
901
-
902
- Using Creative Commons Public Licenses
903
-
904
- Creative Commons public licenses provide a standard set of terms and
905
- conditions that creators and other rights holders may use to share
906
- original works of authorship and other material subject to copyright
907
- and certain other rights specified in the public license below. The
908
- following considerations are for informational purposes only, are not
909
- exhaustive, and do not form part of our licenses.
910
-
911
- Considerations for licensors: Our public licenses are
912
- intended for use by those authorized to give the public
913
- permission to use material in ways otherwise restricted by
914
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917
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918
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919
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921
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922
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- wiki.creativecommons.org/Considerations_for_licensors
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929
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939
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940
- wiki.creativecommons.org/Considerations_for_licensees
941
-
942
- =======================================================================
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-
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- Creative Commons Attribution-ShareAlike 4.0 International Public
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- License
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-
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- By exercising the Licensed Rights (defined below), You accept and agree
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- Attribution-ShareAlike 4.0 International Public License ("Public
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- License"). To the extent this Public License may be interpreted as a
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- making the Licensed Material available under these terms and
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956
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957
-
958
- Section 1 -- Definitions.
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-
960
- a. Adapted Material means material subject to Copyright and Similar
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- Rights that is derived from or based upon the Licensed Material
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- and in which the Licensed Material is translated, altered,
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- arranged, transformed, or otherwise modified in a manner requiring
964
- permission under the Copyright and Similar Rights held by the
965
- Licensor. For purposes of this Public License, where the Licensed
966
- Material is a musical work, performance, or sound recording,
967
- Adapted Material is always produced where the Licensed Material is
968
- synched in timed relation with a moving image.
969
-
970
- b. Adapter's License means the license You apply to Your Copyright
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- and Similar Rights in Your contributions to Adapted Material in
972
- accordance with the terms and conditions of this Public License.
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-
974
- c. BY-SA Compatible License means a license listed at
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- Commons as essentially the equivalent of this Public License.
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- =======================================================================
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- Creative Commons is not a party to its public
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-
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- ```
1317
-
1318
-
1319
-
1320
-
1321
  # spaCy lookups data
1322
 
1323
  * Author: Explosion
 
438
 
439
 
440
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
441
  # spaCy lookups data
442
 
443
  * Author: Explosion
README.md CHANGED
@@ -14,41 +14,41 @@ model-index:
14
  metrics:
15
  - name: NER Precision
16
  type: precision
17
- value: 0.7344978166
18
  - name: NER Recall
19
  type: recall
20
- value: 0.7157446809
21
  - name: NER F Score
22
  type: f_score
23
- value: 0.725
24
  - task:
25
  name: POS
26
  type: token-classification
27
  metrics:
28
  - name: POS (UPOS) Accuracy
29
  type: accuracy
30
- value: 0.9190720259
31
  - task:
32
  name: UNLABELED_DEPENDENCIES
33
  type: token-classification
34
  metrics:
35
  - name: Unlabeled Attachment Score (UAS)
36
  type: f_score
37
- value: 0.6417322835
38
  - task:
39
  name: LABELED_DEPENDENCIES
40
  type: token-classification
41
  metrics:
42
  - name: Labeled Attachment Score (LAS)
43
  type: f_score
44
- value: 0.4625984252
45
  - task:
46
  name: SENTS
47
  type: token-classification
48
  metrics:
49
  - name: Sentences F-Score
50
  type: f_score
51
- value: 0.6623376623
52
  ---
53
  ### Details: https://spacy.io/models/mk#mk_core_news_sm
54
 
@@ -57,12 +57,12 @@ Macedonian pipeline optimized for CPU. Components: tok2vec, morphologizer, parse
57
  | Feature | Description |
58
  | --- | --- |
59
  | **Name** | `mk_core_news_sm` |
60
- | **Version** | `3.3.0` |
61
- | **spaCy** | `>=3.3.0.dev0,<3.4.0` |
62
  | **Default Pipeline** | `morphologizer`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
63
  | **Components** | `morphologizer`, `parser`, `senter`, `attribute_ruler`, `lemmatizer`, `ner` |
64
  | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
65
- | **Sources** | [Macedonian Corpus](https://blog.netcetera.com/macedonian-spacy-f3c85484777f) (Damjan Zlatinov, Melanija Gerasimovska, Borijan Georgievski, Marija Todosovska)<br />[Macedonian Corpus](https://blog.netcetera.com/macedonian-spacy-f3c85484777f) (Damjan Zlatinov, Melanija Gerasimovska, Borijan Georgievski, Marija Todosovska)<br />[Macedonian Corpus](https://blog.netcetera.com/macedonian-spacy-f3c85484777f) (Damjan Zlatinov, Melanija Gerasimovska, Borijan Georgievski, Marija Todosovska)<br />[spaCy lookups data](https://github.com/explosion/spacy-lookups-data) (Explosion) |
66
  | **License** | `CC BY-SA 4.0` |
67
  | **Author** | [Explosion](https://explosion.ai) |
68
 
@@ -70,11 +70,11 @@ Macedonian pipeline optimized for CPU. Components: tok2vec, morphologizer, parse
70
 
71
  <details>
72
 
73
- <summary>View label scheme (53 labels for 3 components)</summary>
74
 
75
  | Component | Labels |
76
  | --- | --- |
77
- | **`morphologizer`** | `POS=PROPN`, `POS=AUX`, `POS=ADJ`, `POS=NOUN`, `POS=ADP`, `POS=PUNCT`, `POS=CONJ`, `POS=NUM`, `POS=VERB`, `POS=PRON`, `POS=ADV`, `POS=SCONJ`, `POS=PART`, `POS=SYM`, `POS=X`, `_`, `POS=INTJ` |
78
  | **`parser`** | `ROOT`, `advmod`, `att`, `aux`, `cc`, `dep`, `det`, `dobj`, `iobj`, `neg`, `nsubj`, `pobj`, `poss`, `pozm`, `pozv`, `prep`, `punct`, `relcl` |
79
  | **`ner`** | `CARDINAL`, `DATE`, `EVENT`, `FAC`, `GPE`, `LANGUAGE`, `LAW`, `LOC`, `MONEY`, `NORP`, `ORDINAL`, `ORG`, `PERCENT`, `PERSON`, `PRODUCT`, `QUANTITY`, `TIME`, `WORK_OF_ART` |
80
 
@@ -88,12 +88,12 @@ Macedonian pipeline optimized for CPU. Components: tok2vec, morphologizer, parse
88
  | `TOKEN_P` | 100.00 |
89
  | `TOKEN_R` | 100.00 |
90
  | `TOKEN_F` | 100.00 |
91
- | `SENTS_P` | 66.23 |
92
- | `SENTS_R` | 66.23 |
93
- | `SENTS_F` | 66.23 |
94
- | `DEP_UAS` | 64.17 |
95
- | `DEP_LAS` | 46.26 |
96
- | `ENTS_P` | 73.45 |
97
- | `ENTS_R` | 71.57 |
98
- | `ENTS_F` | 72.50 |
99
- | `POS_ACC` | 91.91 |
 
14
  metrics:
15
  - name: NER Precision
16
  type: precision
17
+ value: 0.7252368648
18
  - name: NER Recall
19
  type: recall
20
+ value: 0.7165957447
21
  - name: NER F Score
22
  type: f_score
23
+ value: 0.720890411
24
  - task:
25
  name: POS
26
  type: token-classification
27
  metrics:
28
  - name: POS (UPOS) Accuracy
29
  type: accuracy
30
+ value: 0.9185325061
31
  - task:
32
  name: UNLABELED_DEPENDENCIES
33
  type: token-classification
34
  metrics:
35
  - name: Unlabeled Attachment Score (UAS)
36
  type: f_score
37
+ value: 0.6280667321
38
  - task:
39
  name: LABELED_DEPENDENCIES
40
  type: token-classification
41
  metrics:
42
  - name: Labeled Attachment Score (LAS)
43
  type: f_score
44
+ value: 0.4553483808
45
  - task:
46
  name: SENTS
47
  type: token-classification
48
  metrics:
49
  - name: Sentences F-Score
50
  type: f_score
51
+ value: 0.6802721088
52
  ---
53
  ### Details: https://spacy.io/models/mk#mk_core_news_sm
54
 
 
57
  | Feature | Description |
58
  | --- | --- |
59
  | **Name** | `mk_core_news_sm` |
60
+ | **Version** | `3.4.0` |
61
+ | **spaCy** | `>=3.4.0,<3.5.0` |
62
  | **Default Pipeline** | `morphologizer`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
63
  | **Components** | `morphologizer`, `parser`, `senter`, `attribute_ruler`, `lemmatizer`, `ner` |
64
  | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
65
+ | **Sources** | [Macedonian Corpus](https://blog.netcetera.com/macedonian-spacy-f3c85484777f) (Damjan Zlatinov, Melanija Gerasimovska, Borijan Georgievski, Marija Todosovska)<br />[spaCy lookups data](https://github.com/explosion/spacy-lookups-data) (Explosion) |
66
  | **License** | `CC BY-SA 4.0` |
67
  | **Author** | [Explosion](https://explosion.ai) |
68
 
 
70
 
71
  <details>
72
 
73
+ <summary>View label scheme (54 labels for 3 components)</summary>
74
 
75
  | Component | Labels |
76
  | --- | --- |
77
+ | **`morphologizer`** | `POS=PROPN`, `POS=AUX`, `POS=ADJ`, `POS=NOUN`, `POS=ADP`, `POS=PUNCT`, `POS=CONJ`, `POS=NUM`, `POS=VERB`, `POS=PRON`, `POS=ADV`, `POS=SCONJ`, `POS=PART`, `POS=SYM`, `_`, `POS=SPACE`, `POS=X`, `POS=INTJ` |
78
  | **`parser`** | `ROOT`, `advmod`, `att`, `aux`, `cc`, `dep`, `det`, `dobj`, `iobj`, `neg`, `nsubj`, `pobj`, `poss`, `pozm`, `pozv`, `prep`, `punct`, `relcl` |
79
  | **`ner`** | `CARDINAL`, `DATE`, `EVENT`, `FAC`, `GPE`, `LANGUAGE`, `LAW`, `LOC`, `MONEY`, `NORP`, `ORDINAL`, `ORG`, `PERCENT`, `PERSON`, `PRODUCT`, `QUANTITY`, `TIME`, `WORK_OF_ART` |
80
 
 
88
  | `TOKEN_P` | 100.00 |
89
  | `TOKEN_R` | 100.00 |
90
  | `TOKEN_F` | 100.00 |
91
+ | `SENTS_P` | 71.43 |
92
+ | `SENTS_R` | 64.94 |
93
+ | `SENTS_F` | 68.03 |
94
+ | `DEP_UAS` | 62.81 |
95
+ | `DEP_LAS` | 45.53 |
96
+ | `ENTS_P` | 72.52 |
97
+ | `ENTS_R` | 71.66 |
98
+ | `ENTS_F` | 72.09 |
99
+ | `POS_ACC` | 91.85 |
accuracy.json CHANGED
@@ -3,36 +3,36 @@
3
  "token_p": 1.0,
4
  "token_r": 1.0,
5
  "token_f": 1.0,
6
- "sents_p": 0.6623376623,
7
- "sents_r": 0.6623376623,
8
- "sents_f": 0.6623376623,
9
- "dep_uas": 0.6417322835,
10
- "dep_las": 0.4625984252,
11
  "dep_las_per_type": {
12
  "nsubj": {
13
- "p": 0.5625,
14
- "r": 0.4736842105,
15
- "f": 0.5142857143
16
  },
17
  "root": {
18
- "p": 0.6623376623,
19
- "r": 0.7285714286,
20
- "f": 0.693877551
21
  },
22
  "cc": {
23
- "p": 0.7368421053,
24
- "r": 0.5,
25
- "f": 0.5957446809
26
  },
27
  "relcl": {
28
- "p": 0.347826087,
29
- "r": 0.3076923077,
30
- "f": 0.3265306122
31
  },
32
  "pozm": {
33
- "p": 0.6,
34
  "r": 0.2727272727,
35
- "f": 0.375
36
  },
37
  "poss": {
38
  "p": 0.0,
@@ -40,14 +40,14 @@
40
  "f": 0.0
41
  },
42
  "aux": {
43
- "p": 0.525,
44
  "r": 0.6363636364,
45
- "f": 0.5753424658
46
  },
47
  "prep": {
48
- "p": 0.6615384615,
49
  "r": 0.7166666667,
50
- "f": 0.688
51
  },
52
  "iobj": {
53
  "p": 0.0,
@@ -55,9 +55,9 @@
55
  "f": 0.0
56
  },
57
  "pozv": {
58
- "p": 0.2857142857,
59
  "r": 0.2666666667,
60
- "f": 0.275862069
61
  },
62
  "quantmod": {
63
  "p": 0.0,
@@ -65,9 +65,9 @@
65
  "f": 0.0
66
  },
67
  "att": {
68
- "p": 0.6486486486,
69
- "r": 0.4615384615,
70
- "f": 0.5393258427
71
  },
72
  "det": {
73
  "p": 0.0,
@@ -80,24 +80,24 @@
80
  "f": 0.0
81
  },
82
  "dep": {
83
- "p": 0.0,
84
- "r": 0.0,
85
- "f": 0.0
86
  },
87
  "dobj": {
88
- "p": 0.4035087719,
89
  "r": 0.3833333333,
90
- "f": 0.3931623932
91
  },
92
  "ppdo": {
93
- "p": 0.6,
94
- "r": 0.4,
95
- "f": 0.48
96
  },
97
  "neg": {
98
- "p": 0.625,
99
- "r": 0.4545454545,
100
- "f": 0.5263157895
101
  },
102
  "pobj": {
103
  "p": 0.4054054054,
@@ -160,70 +160,75 @@
160
  "f": 0.0
161
  }
162
  },
163
- "speed": 2310.8975813075,
164
- "ents_p": 0.7344978166,
165
- "ents_r": 0.7157446809,
166
- "ents_f": 0.725,
167
  "ents_per_type": {
168
- "GPE": {
169
- "p": 0.8571428571,
170
- "r": 0.8773584906,
171
- "f": 0.8671328671
172
  },
173
  "LOC": {
174
- "p": 0.7884615385,
175
- "r": 0.4712643678,
176
- "f": 0.5899280576
177
  },
178
- "QUANTITY": {
179
- "p": 0.65,
180
- "r": 0.6341463415,
181
- "f": 0.6419753086
182
  },
183
- "PERCENT": {
184
- "p": 0.7619047619,
185
- "r": 1.0,
186
- "f": 0.8648648649
187
  },
188
  "CARDINAL": {
189
- "p": 0.6132075472,
190
- "r": 0.6914893617,
191
- "f": 0.65
192
  },
193
  "ORG": {
194
- "p": 0.5322580645,
195
- "r": 0.6734693878,
196
- "f": 0.5945945946
197
- },
198
- "NORP": {
199
- "p": 0.5094339623,
200
- "r": 0.4153846154,
201
- "f": 0.4576271186
202
  },
203
  "PERSON": {
204
- "p": 0.6979865772,
205
- "r": 0.6933333333,
206
- "f": 0.6956521739
207
  },
208
  "DATE": {
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- "p": 0.7638888889,
210
- "r": 0.7746478873,
211
- "f": 0.7692307692
212
  },
213
- "WORK_OF_ART": {
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- "p": 0.65625,
215
- "r": 0.512195122,
216
- "f": 0.5753424658
217
  },
218
  "ORDINAL": {
219
- "p": 0.5384615385,
220
- "r": 0.6363636364,
221
- "f": 0.5833333333
222
  },
223
- "MONEY": {
224
- "p": 0.0,
225
- "r": 0.0,
226
- "f": 0.0
 
 
 
 
 
 
 
 
 
 
227
  },
228
  "LANGUAGE": {
229
  "p": 0.0,
@@ -231,30 +236,25 @@
231
  "f": 0.0
232
  },
233
  "TIME": {
234
- "p": 1.0,
235
  "r": 0.8333333333,
236
- "f": 0.9090909091
237
- },
238
- "FAC": {
239
- "p": 0.1818181818,
240
- "r": 0.1,
241
- "f": 0.1290322581
242
- },
243
- "LAW": {
244
- "p": 0.25,
245
- "r": 0.3333333333,
246
- "f": 0.2857142857
247
  },
248
  "EVENT": {
249
- "p": 0.625,
250
- "r": 0.5882352941,
251
- "f": 0.6060606061
252
  },
253
  "PRODUCT": {
254
- "p": 1.0,
255
  "r": 0.2,
256
- "f": 0.3333333333
 
 
 
 
 
257
  }
258
  },
259
- "pos_acc": 0.9190720259
260
  }
 
3
  "token_p": 1.0,
4
  "token_r": 1.0,
5
  "token_f": 1.0,
6
+ "sents_p": 0.7142857143,
7
+ "sents_r": 0.6493506494,
8
+ "sents_f": 0.6802721088,
9
+ "dep_uas": 0.6280667321,
10
+ "dep_las": 0.4553483808,
11
  "dep_las_per_type": {
12
  "nsubj": {
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+ "p": 0.4210526316,
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+ "r": 0.4210526316,
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+ "f": 0.4210526316
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  },
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  "root": {
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+ "p": 0.6571428571,
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+ "r": 0.6571428571,
20
+ "f": 0.6571428571
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  },
22
  "cc": {
23
+ "p": 0.8888888889,
24
+ "r": 0.5714285714,
25
+ "f": 0.6956521739
26
  },
27
  "relcl": {
28
+ "p": 0.35,
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+ "r": 0.2692307692,
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+ "f": 0.3043478261
31
  },
32
  "pozm": {
33
+ "p": 0.75,
34
  "r": 0.2727272727,
35
+ "f": 0.4
36
  },
37
  "poss": {
38
  "p": 0.0,
 
40
  "f": 0.0
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  },
42
  "aux": {
43
+ "p": 0.5675675676,
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  "r": 0.6363636364,
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+ "f": 0.6
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  },
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  "prep": {
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+ "p": 0.5733333333,
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  "r": 0.7166666667,
50
+ "f": 0.637037037
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  },
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  "iobj": {
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  "p": 0.0,
 
55
  "f": 0.0
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  },
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  "pozv": {
58
+ "p": 0.3333333333,
59
  "r": 0.2666666667,
60
+ "f": 0.2962962963
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  },
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  "quantmod": {
63
  "p": 0.0,
 
65
  "f": 0.0
66
  },
67
  "att": {
68
+ "p": 0.6170212766,
69
+ "r": 0.5576923077,
70
+ "f": 0.5858585859
71
  },
72
  "det": {
73
  "p": 0.0,
 
80
  "f": 0.0
81
  },
82
  "dep": {
83
+ "p": 0.0142857143,
84
+ "r": 0.3333333333,
85
+ "f": 0.0273972603
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  },
87
  "dobj": {
88
+ "p": 0.3770491803,
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  "r": 0.3833333333,
90
+ "f": 0.3801652893
91
  },
92
  "ppdo": {
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+ "p": 0.5,
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+ "r": 0.1333333333,
95
+ "f": 0.2105263158
96
  },
97
  "neg": {
98
+ "p": 0.75,
99
+ "r": 0.5454545455,
100
+ "f": 0.6315789474
101
  },
102
  "pobj": {
103
  "p": 0.4054054054,
 
160
  "f": 0.0
161
  }
162
  },
163
+ "speed": 2195.0892767476,
164
+ "ents_p": 0.7252368648,
165
+ "ents_r": 0.7165957447,
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+ "ents_f": 0.720890411,
167
  "ents_per_type": {
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+ "NORP": {
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+ "p": 0.4259259259,
170
+ "r": 0.3538461538,
171
+ "f": 0.3865546218
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  },
173
  "LOC": {
174
+ "p": 0.6231884058,
175
+ "r": 0.4942528736,
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  },
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+ "GPE": {
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+ "p": 0.875862069,
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+ "f": 0.8870779977
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  },
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+ "QUANTITY": {
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+ "p": 0.6170212766,
185
+ "r": 0.7073170732,
186
+ "f": 0.6590909091
187
  },
188
  "CARDINAL": {
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+ "p": 0.6875,
190
+ "r": 0.7021276596,
191
+ "f": 0.6947368421
192
  },
193
  "ORG": {
194
+ "p": 0.53125,
195
+ "r": 0.693877551,
196
+ "f": 0.6017699115
 
 
 
 
 
197
  },
198
  "PERSON": {
199
+ "p": 0.6734693878,
200
+ "r": 0.66,
201
+ "f": 0.6666666667
202
  },
203
  "DATE": {
204
+ "p": 0.7046979866,
205
+ "r": 0.7394366197,
206
+ "f": 0.7216494845
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  },
208
+ "MONEY": {
209
+ "p": 0.3333333333,
210
+ "r": 0.5,
211
+ "f": 0.4
212
  },
213
  "ORDINAL": {
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+ "p": 0.5454545455,
215
+ "r": 0.5454545455,
216
+ "f": 0.5454545455
217
  },
218
+ "PERCENT": {
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+ "p": 1.0,
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+ "r": 1.0,
221
+ "f": 1.0
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+ },
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+ "WORK_OF_ART": {
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+ "p": 0.6451612903,
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+ "f": 0.5555555556
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+ },
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+ "FAC": {
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+ "p": 0.125,
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+ "r": 0.05,
231
+ "f": 0.0714285714
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  },
233
  "LANGUAGE": {
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  "p": 0.0,
 
236
  "f": 0.0
237
  },
238
  "TIME": {
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+ "p": 0.7142857143,
240
  "r": 0.8333333333,
241
+ "f": 0.7692307692
 
 
 
 
 
 
 
 
 
 
242
  },
243
  "EVENT": {
244
+ "p": 0.6666666667,
245
+ "r": 0.7058823529,
246
+ "f": 0.6857142857
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  },
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  "PRODUCT": {
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+ "p": 0.5,
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  "r": 0.2,
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+ "f": 0.2857142857
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+ },
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+ "LAW": {
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+ "p": 0.0,
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+ "f": 0.0
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  }
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  },
259
+ "pos_acc": 0.9185325061
260
  }
meta.json CHANGED
@@ -1,14 +1,14 @@
1
  {
2
  "lang":"mk",
3
  "name":"core_news_sm",
4
- "version":"3.3.0",
5
  "description":"Macedonian pipeline optimized for CPU. Components: tok2vec, morphologizer, parser, senter, ner, attribute_ruler, lemmatizer.",
6
  "author":"Explosion",
7
  "email":"contact@explosion.ai",
8
  "url":"https://explosion.ai",
9
  "license":"CC BY-SA 4.0",
10
- "spacy_version":">=3.3.0.dev0,<3.4.0",
11
- "spacy_git_version":"849bef2de",
12
  "vectors":{
13
  "width":0,
14
  "vectors":0,
@@ -31,8 +31,9 @@
31
  "POS=SCONJ",
32
  "POS=PART",
33
  "POS=SYM",
34
- "POS=X",
35
  "_",
 
 
36
  "POS=INTJ"
37
  ],
38
  "parser":[
@@ -105,36 +106,36 @@
105
  "token_p":1.0,
106
  "token_r":1.0,
107
  "token_f":1.0,
108
- "sents_p":0.6623376623,
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- "sents_r":0.6623376623,
110
- "sents_f":0.6623376623,
111
- "dep_uas":0.6417322835,
112
- "dep_las":0.4625984252,
113
  "dep_las_per_type":{
114
  "nsubj":{
115
- "p":0.5625,
116
- "r":0.4736842105,
117
- "f":0.5142857143
118
  },
119
  "root":{
120
- "p":0.6623376623,
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- "r":0.7285714286,
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- "f":0.693877551
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  },
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  "cc":{
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- "p":0.7368421053,
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- "r":0.5,
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- "f":0.5957446809
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  },
129
  "relcl":{
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- "p":0.347826087,
131
- "r":0.3076923077,
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- "f":0.3265306122
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  },
134
  "pozm":{
135
- "p":0.6,
136
  "r":0.2727272727,
137
- "f":0.375
138
  },
139
  "poss":{
140
  "p":0.0,
@@ -142,14 +143,14 @@
142
  "f":0.0
143
  },
144
  "aux":{
145
- "p":0.525,
146
  "r":0.6363636364,
147
- "f":0.5753424658
148
  },
149
  "prep":{
150
- "p":0.6615384615,
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  "r":0.7166666667,
152
- "f":0.688
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  },
154
  "iobj":{
155
  "p":0.0,
@@ -157,9 +158,9 @@
157
  "f":0.0
158
  },
159
  "pozv":{
160
- "p":0.2857142857,
161
  "r":0.2666666667,
162
- "f":0.275862069
163
  },
164
  "quantmod":{
165
  "p":0.0,
@@ -167,9 +168,9 @@
167
  "f":0.0
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  },
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  "att":{
170
- "p":0.6486486486,
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- "r":0.4615384615,
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- "f":0.5393258427
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  },
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  "det":{
175
  "p":0.0,
@@ -182,24 +183,24 @@
182
  "f":0.0
183
  },
184
  "dep":{
185
- "p":0.0,
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- "r":0.0,
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- "f":0.0
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  },
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  "dobj":{
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- "p":0.4035087719,
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  "r":0.3833333333,
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  },
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  "ppdo":{
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- "p":0.6,
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- "r":0.4,
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- "f":0.48
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  },
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  "neg":{
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- "p":0.625,
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  },
204
  "pobj":{
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  "p":0.4054054054,
@@ -262,70 +263,75 @@
262
  "f":0.0
263
  }
264
  },
265
- "speed":2310.8975813075,
266
- "ents_p":0.7344978166,
267
- "ents_r":0.7157446809,
268
- "ents_f":0.725,
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  "ents_per_type":{
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- "GPE":{
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- "p":0.8571428571,
272
- "r":0.8773584906,
273
- "f":0.8671328671
274
  },
275
  "LOC":{
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- "p":0.7884615385,
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- "f":0.5899280576
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  },
280
- "QUANTITY":{
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- "p":0.65,
282
- "r":0.6341463415,
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- "f":0.6419753086
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  },
285
- "PERCENT":{
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- "p":0.7619047619,
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- "r":1.0,
288
- "f":0.8648648649
289
  },
290
  "CARDINAL":{
291
- "p":0.6132075472,
292
- "r":0.6914893617,
293
- "f":0.65
294
  },
295
  "ORG":{
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- "p":0.5322580645,
297
- "r":0.6734693878,
298
- "f":0.5945945946
299
- },
300
- "NORP":{
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- "p":0.5094339623,
302
- "r":0.4153846154,
303
- "f":0.4576271186
304
  },
305
  "PERSON":{
306
- "p":0.6979865772,
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- "r":0.6933333333,
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- "f":0.6956521739
309
  },
310
  "DATE":{
311
- "p":0.7638888889,
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- "f":0.7692307692
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  },
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- "WORK_OF_ART":{
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- "p":0.65625,
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319
  },
320
  "ORDINAL":{
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- "p":0.5384615385,
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