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spacy
/
pl_core_news_lg

Token Classification
spaCy
Polish
Eval Results
Model card Files Community
EC2 Default User commited on
Commit
d041d79
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1 Parent(s): 7c8acc3

Update spaCy pipeline

Browse files
Files changed (20) hide show
  1. LICENSES_SOURCES +0 -18
  2. README.md +0 -0
  3. accuracy.json +303 -298
  4. attribute_ruler/patterns +0 -0
  5. config.cfg +40 -18
  6. lemmatizer/cfg +2163 -0
  7. lemmatizer/{lookups/lookups.bin → model} +2 -2
  8. lemmatizer/trees +0 -0
  9. meta.json +309 -317
  10. morphologizer/model +2 -2
  11. ner/model +2 -2
  12. parser/model +1 -1
  13. parser/moves +1 -1
  14. pl_core_news_lg-any-py3-none-any.whl +2 -2
  15. senter/model +2 -2
  16. tagger/cfg +1 -0
  17. tagger/model +2 -2
  18. tok2vec/model +2 -2
  19. tokenizer +2 -2
  20. vocab/strings.json +2 -2
LICENSES_SOURCES CHANGED
@@ -502,24 +502,6 @@ END OF TERMS AND CONDITIONS```
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- # PoliMorf
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-
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- * Author: Woliński, Marcin; Miłkowski, Marcin; Ogrodniczuk, Maciej; Przepiórkowski, Adam; Szałkiewicz, Lukasz
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- * URL: http://zil.ipipan.waw.pl/PoliMorf
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- * License: BSD-2-Clause
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-
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- ```
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- Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
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-
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- 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
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-
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- 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
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-
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- THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.```
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-
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  # Explosion fastText Vectors (cbow, OSCAR Common Crawl + Wikipedia)
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  * Author: Explosion
 
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  # Explosion fastText Vectors (cbow, OSCAR Common Crawl + Wikipedia)
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  * Author: Explosion
README.md CHANGED
The diff for this file is too large to render. See raw diff
 
accuracy.json CHANGED
@@ -3,111 +3,111 @@
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  }
 
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275
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279
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280
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295
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315
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317
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318
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319
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320
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325
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334
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335
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338
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339
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340
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  "xcomp:cleft": {
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488
  },
489
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492
  "f": 0.0
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494
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530
  }
531
  },
532
+ "speed": 6832.7278267642
533
  }
attribute_ruler/patterns CHANGED
Binary files a/attribute_ruler/patterns and b/attribute_ruler/patterns differ
 
config.cfg CHANGED
@@ -10,7 +10,7 @@ seed = 0
10
 
11
  [nlp]
12
  lang = "pl"
13
- pipeline = ["tok2vec","morphologizer","parser","tagger","senter","attribute_ruler","lemmatizer","ner"]
14
  disabled = ["senter"]
15
  before_creation = null
16
  after_creation = null
@@ -26,11 +26,22 @@ scorer = {"@scorers":"spacy.attribute_ruler_scorer.v1"}
26
  validate = false
27
 
28
  [components.lemmatizer]
29
- factory = "lemmatizer"
30
- mode = "pos_lookup"
31
- model = null
32
  overwrite = false
33
  scorer = {"@scorers":"spacy.lemmatizer_scorer.v1"}
 
 
 
 
 
 
 
 
 
 
 
34
 
35
  [components.morphologizer]
36
  factory = "morphologizer"
@@ -39,8 +50,9 @@ overwrite = true
39
  scorer = {"@scorers":"spacy.morphologizer_scorer.v1"}
40
 
41
  [components.morphologizer.model]
42
- @architectures = "spacy.Tagger.v1"
43
  nO = null
 
44
 
45
  [components.morphologizer.model.tok2vec]
46
  @architectures = "spacy.Tok2VecListener.v1"
@@ -70,7 +82,7 @@ nO = null
70
  @architectures = "spacy.MultiHashEmbed.v2"
71
  width = 96
72
  attrs = ["NORM","PREFIX","SUFFIX","SHAPE","SPACY"]
73
- rows = [5000,2500,2500,2500,100]
74
  include_static_vectors = true
75
 
76
  [components.ner.model.tok2vec.encode]
@@ -108,8 +120,9 @@ overwrite = false
108
  scorer = {"@scorers":"spacy.senter_scorer.v1"}
109
 
110
  [components.senter.model]
111
- @architectures = "spacy.Tagger.v1"
112
  nO = null
 
113
 
114
  [components.senter.model.tok2vec]
115
  @architectures = "spacy.Tok2Vec.v2"
@@ -130,12 +143,14 @@ maxout_pieces = 2
130
 
131
  [components.tagger]
132
  factory = "tagger"
 
133
  overwrite = false
134
  scorer = {"@scorers":"spacy.tagger_scorer.v1"}
135
 
136
  [components.tagger.model]
137
- @architectures = "spacy.Tagger.v1"
138
  nO = null
 
139
 
140
  [components.tagger.model.tok2vec]
141
  @architectures = "spacy.Tok2Vec.v2"
@@ -144,7 +159,7 @@ nO = null
144
  @architectures = "spacy.MultiHashEmbed.v2"
145
  width = 96
146
  attrs = ["NORM","PREFIX","SUFFIX","SHAPE","SPACY"]
147
- rows = [5000,2500,2500,2500,100]
148
  include_static_vectors = true
149
 
150
  [components.tagger.model.tok2vec.encode]
@@ -164,7 +179,7 @@ factory = "tok2vec"
164
  @architectures = "spacy.MultiHashEmbed.v2"
165
  width = ${components.tok2vec.model.encode:width}
166
  attrs = ["NORM","PREFIX","SUFFIX","SHAPE","SPACY"]
167
- rows = [5000,2500,2500,2500,100]
168
  include_static_vectors = true
169
 
170
  [components.tok2vec.model.encode]
@@ -201,7 +216,7 @@ dropout = 0.1
201
  accumulate_gradient = 1
202
  patience = 5000
203
  max_epochs = 0
204
- max_steps = 0
205
  eval_frequency = 1000
206
  frozen_components = []
207
  before_to_disk = null
@@ -236,18 +251,18 @@ eps = 0.00000001
236
  learn_rate = 0.001
237
 
238
  [training.score_weights]
239
- pos_acc = 0.06
240
- morph_acc = 0.05
241
  morph_per_feat = null
242
  dep_uas = 0.0
243
- dep_las = 0.16
244
  dep_las_per_type = null
245
  sents_p = null
246
  sents_r = null
247
- sents_f = 0.02
248
- tag_acc = 0.06
249
- lemma_acc = 0.5
250
- ents_f = 0.16
251
  ents_p = 0.0
252
  ents_r = 0.0
253
  ents_per_type = null
@@ -264,6 +279,13 @@ after_init = null
264
 
265
  [initialize.components]
266
 
 
 
 
 
 
 
 
267
  [initialize.components.morphologizer]
268
 
269
  [initialize.components.morphologizer.labels]
 
10
 
11
  [nlp]
12
  lang = "pl"
13
+ pipeline = ["tok2vec","morphologizer","parser","lemmatizer","tagger","senter","attribute_ruler","ner"]
14
  disabled = ["senter"]
15
  before_creation = null
16
  after_creation = null
 
26
  validate = false
27
 
28
  [components.lemmatizer]
29
+ factory = "trainable_lemmatizer"
30
+ backoff = "orth"
31
+ min_tree_freq = 3
32
  overwrite = false
33
  scorer = {"@scorers":"spacy.lemmatizer_scorer.v1"}
34
+ top_k = 1
35
+
36
+ [components.lemmatizer.model]
37
+ @architectures = "spacy.Tagger.v2"
38
+ nO = null
39
+ normalize = false
40
+
41
+ [components.lemmatizer.model.tok2vec]
42
+ @architectures = "spacy.Tok2VecListener.v1"
43
+ width = ${components.tok2vec.model.encode:width}
44
+ upstream = "tok2vec"
45
 
46
  [components.morphologizer]
47
  factory = "morphologizer"
 
50
  scorer = {"@scorers":"spacy.morphologizer_scorer.v1"}
51
 
52
  [components.morphologizer.model]
53
+ @architectures = "spacy.Tagger.v2"
54
  nO = null
55
+ normalize = false
56
 
57
  [components.morphologizer.model.tok2vec]
58
  @architectures = "spacy.Tok2VecListener.v1"
 
82
  @architectures = "spacy.MultiHashEmbed.v2"
83
  width = 96
84
  attrs = ["NORM","PREFIX","SUFFIX","SHAPE","SPACY"]
85
+ rows = [5000,1000,2500,2500,50]
86
  include_static_vectors = true
87
 
88
  [components.ner.model.tok2vec.encode]
 
120
  scorer = {"@scorers":"spacy.senter_scorer.v1"}
121
 
122
  [components.senter.model]
123
+ @architectures = "spacy.Tagger.v2"
124
  nO = null
125
+ normalize = false
126
 
127
  [components.senter.model.tok2vec]
128
  @architectures = "spacy.Tok2Vec.v2"
 
143
 
144
  [components.tagger]
145
  factory = "tagger"
146
+ neg_prefix = "!"
147
  overwrite = false
148
  scorer = {"@scorers":"spacy.tagger_scorer.v1"}
149
 
150
  [components.tagger.model]
151
+ @architectures = "spacy.Tagger.v2"
152
  nO = null
153
+ normalize = false
154
 
155
  [components.tagger.model.tok2vec]
156
  @architectures = "spacy.Tok2Vec.v2"
 
159
  @architectures = "spacy.MultiHashEmbed.v2"
160
  width = 96
161
  attrs = ["NORM","PREFIX","SUFFIX","SHAPE","SPACY"]
162
+ rows = [5000,1000,2500,2500,50]
163
  include_static_vectors = true
164
 
165
  [components.tagger.model.tok2vec.encode]
 
179
  @architectures = "spacy.MultiHashEmbed.v2"
180
  width = ${components.tok2vec.model.encode:width}
181
  attrs = ["NORM","PREFIX","SUFFIX","SHAPE","SPACY"]
182
+ rows = [5000,1000,2500,2500,50]
183
  include_static_vectors = true
184
 
185
  [components.tok2vec.model.encode]
 
216
  accumulate_gradient = 1
217
  patience = 5000
218
  max_epochs = 0
219
+ max_steps = 100000
220
  eval_frequency = 1000
221
  frozen_components = []
222
  before_to_disk = null
 
251
  learn_rate = 0.001
252
 
253
  [training.score_weights]
254
+ pos_acc = 0.1
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+ morph_acc = 0.09
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  morph_per_feat = null
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  dep_uas = 0.0
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+ dep_las = 0.29
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+ sents_f = 0.04
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+ ents_f = 0.29
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268
  ents_per_type = null
 
279
 
280
  [initialize.components]
281
 
282
+ [initialize.components.lemmatizer]
283
+
284
+ [initialize.components.lemmatizer.labels]
285
+ @readers = "spacy.read_labels.v1"
286
+ path = "corpus/labels/trainable_lemmatizer.json"
287
+ require = false
288
+
289
  [initialize.components.morphologizer]
290
 
291
  [initialize.components.morphologizer.labels]
lemmatizer/cfg ADDED
@@ -0,0 +1,2163 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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- "version":"3.2.0",
5
- "description":"Polish pipeline optimized for CPU. Components: tok2vec, morphologizer, tagger, parser, senter, ner, attribute_ruler, lemmatizer.",
6
  "author":"Explosion",
7
  "email":"contact@explosion.ai",
8
  "url":"https://explosion.ai",
9
  "license":"GNU GPL 3.0",
10
- "spacy_version":">=3.2.0,<3.3.0",
11
- "spacy_git_version":"bb26550e2",
12
  "vectors":{
13
  "width":300,
14
  "vectors":500000,
@@ -1743,15 +1743,8 @@
1743
  "WINIEN",
1744
  "XXX"
1745
  ],
1746
- "senter":[
1747
- "I",
1748
- "S"
1749
- ],
1750
  "attribute_ruler":[
1751
 
1752
- ],
1753
- "lemmatizer":[
1754
-
1755
  ],
1756
  "ner":[
1757
  "date",
@@ -1766,19 +1759,19 @@
1766
  "tok2vec",
1767
  "morphologizer",
1768
  "parser",
 
1769
  "tagger",
1770
  "attribute_ruler",
1771
- "lemmatizer",
1772
  "ner"
1773
  ],
1774
  "components":[
1775
  "tok2vec",
1776
  "morphologizer",
1777
  "parser",
 
1778
  "tagger",
1779
  "senter",
1780
  "attribute_ruler",
1781
- "lemmatizer",
1782
  "ner"
1783
  ],
1784
  "disabled":[
@@ -1789,111 +1782,111 @@
1789
  "token_p":0.99628964,
1790
  "token_r":0.9982863284,
1791
  "token_f":0.9972869848,
1792
- "pos_acc":0.9777700338,
1793
- "morph_acc":0.9100516811,
1794
- "morph_micro_p":0.9561039409,
1795
- "morph_micro_r":0.9553663805,
1796
- "morph_micro_f":0.9557350184,
1797
  "morph_per_feat":{
1798
  "Case":{
1799
- "p":0.9237375032,
1800
- "r":0.9233824471,
1801
- "f":0.9235599411
1802
  },
1803
  "Gender":{
1804
- "p":0.9393459916,
1805
- "r":0.9393459916,
1806
- "f":0.9393459916
1807
  },
1808
  "Number":{
1809
- "p":0.977450312,
1810
- "r":0.976477368,
1811
- "f":0.9769635978
1812
  },
1813
  "AdpType":{
1814
- "p":0.9994666667,
1815
- "r":0.9989339019,
1816
- "f":0.9992002133
1817
  },
1818
  "Variant":{
1819
- "p":0.9948623853,
1820
- "r":0.9966911765,
1821
- "f":0.9957759412
1822
  },
1823
  "Animacy":{
1824
- "p":0.8917311124,
1825
- "r":0.8950322427,
1826
- "f":0.893378628
1827
  },
1828
  "Degree":{
1829
- "p":0.9480780264,
1830
- "r":0.9535487594,
1831
- "f":0.9508055236
1832
  },
1833
  "Aspect":{
1834
- "p":0.9464088398,
1835
- "r":0.9436283511,
1836
- "f":0.9450165502
1837
  },
1838
  "Mood":{
1839
- "p":0.9869472563,
1840
- "r":0.9877366036,
1841
- "f":0.9873417722
1842
  },
1843
  "Person":{
1844
- "p":0.9855559288,
1845
- "r":0.9848942598,
1846
- "f":0.9852249832
1847
  },
1848
  "Tense":{
1849
- "p":0.9793787523,
1850
- "r":0.9811715481,
1851
- "f":0.9802743305
1852
  },
1853
  "VerbForm":{
1854
- "p":0.9713099964,
1855
- "r":0.9685138539,
1856
- "f":0.9699099099
1857
  },
1858
  "Voice":{
1859
- "p":0.9786498577,
1860
- "r":0.975674032,
1861
- "f":0.9771596792
1862
  },
1863
  "PunctType":{
1864
- "p":0.9984323289,
1865
- "r":0.9972164231,
1866
- "f":0.9978240056
1867
  },
1868
  "NumForm":{
1869
- "p":0.9696969697,
1870
- "r":0.9736308316,
1871
- "f":0.971659919
1872
  },
1873
  "PrepCase":{
1874
- "p":0.9853658537,
1875
- "r":0.96882494,
1876
- "f":0.977025393
1877
  },
1878
  "PronType":{
1879
- "p":0.9665492958,
1880
- "r":0.9584497207,
1881
- "f":0.9624824684
1882
  },
1883
  "Reflex":{
1884
- "p":0.9945355191,
1885
  "r":1.0,
1886
- "f":0.997260274
1887
  },
1888
  "NumType":{
1889
- "p":0.9070351759,
1890
- "r":0.886977887,
1891
- "f":0.8968944099
1892
  },
1893
  "Polarity":{
1894
- "p":0.9204466155,
1895
- "r":0.9071526823,
1896
- "f":0.9137512989
1897
  },
1898
  "Hyph":{
1899
  "p":0.9705882353,
@@ -1901,54 +1894,54 @@
1901
  "f":0.9850746269
1902
  },
1903
  "VerbType":{
1904
- "p":0.9415584416,
1905
- "r":0.9415584416,
1906
- "f":0.9415584416
1907
  },
1908
  "ConjType":{
1909
- "p":0.9536423841,
1910
- "r":0.9536423841,
1911
- "f":0.9536423841
1912
  },
1913
  "Clitic":{
1914
- "p":0.9663461538,
1915
- "r":0.9901477833,
1916
- "f":0.9781021898
1917
  },
1918
  "Poss":{
1919
- "p":0.9826589595,
1920
- "r":0.9941520468,
1921
- "f":0.988372093
1922
  },
1923
  "Number[psor]":{
1924
- "p":0.9900990099,
1925
  "r":0.9803921569,
1926
- "f":0.9852216749
1927
  },
1928
  "PartType":{
1929
- "p":0.9508196721,
1930
- "r":0.8656716418,
1931
- "f":0.90625
1932
- },
1933
- "Foreign":{
1934
- "p":0.3636363636,
1935
- "r":0.6666666667,
1936
- "f":0.4705882353
1937
  },
1938
  "Abbr":{
1939
- "p":0.9310344828,
1940
- "r":0.9264705882,
1941
- "f":0.9287469287
1942
  },
1943
  "Pun":{
1944
- "p":0.9272727273,
1945
- "r":0.8895348837,
1946
- "f":0.9080118694
1947
  },
1948
  "PunctSide":{
1949
  "p":1.0,
1950
- "r":0.9666666667,
1951
- "f":0.9830508475
 
 
 
 
 
1952
  },
1953
  "Emphatic":{
1954
  "p":1.0,
@@ -1956,186 +1949,181 @@
1956
  "f":0.6666666667
1957
  },
1958
  "Polite":{
1959
- "p":0.0,
1960
- "r":0.0,
1961
- "f":0.0
1962
  }
1963
  },
1964
- "sents_p":0.9628454916,
1965
- "sents_r":0.9593679458,
1966
- "sents_f":0.961103573,
1967
- "dep_uas":0.894934988,
1968
- "dep_las":0.8239374031,
1969
  "dep_las_per_type":{
1970
  "nsubj":{
1971
- "p":0.8728092138,
1972
- "r":0.8628712871,
1973
- "f":0.8678117999
1974
  },
1975
  "case":{
1976
- "p":0.9720777443,
1977
- "r":0.9736769948,
1978
- "f":0.9728767123
1979
  },
1980
  "amod":{
1981
- "p":0.9194270367,
1982
  "r":0.9214894572,
1983
- "f":0.9204570916
1984
  },
1985
  "nmod":{
1986
- "p":0.5659928656,
1987
- "r":0.5905707196,
1988
- "f":0.5780206436
1989
  },
1990
  "cc":{
1991
- "p":0.8776493256,
1992
- "r":0.8870496592,
1993
- "f":0.8823244552
1994
  },
1995
  "conj":{
1996
- "p":0.6681277395,
1997
- "r":0.6928571429,
1998
- "f":0.6802677718
1999
  },
2000
  "root":{
2001
- "p":0.9429606157,
2002
- "r":0.9404063205,
2003
- "f":0.941681736
2004
  },
2005
  "obl":{
2006
- "p":0.7201086957,
2007
- "r":0.7248358862,
2008
- "f":0.7224645583
2009
  },
2010
  "obl:arg":{
2011
- "p":0.6830530401,
2012
- "r":0.6204465335,
2013
- "f":0.6502463054
2014
  },
2015
  "nummod":{
2016
- "p":0.8601398601,
2017
- "r":0.8785714286,
2018
- "f":0.8692579505
2019
  },
2020
  "obj":{
2021
- "p":0.8337531486,
2022
- "r":0.8664921466,
2023
- "f":0.8498074454
2024
  },
2025
  "advcl":{
2026
- "p":0.7222222222,
2027
- "r":0.7138728324,
2028
- "f":0.7180232558
2029
  },
2030
  "iobj":{
2031
- "p":0.7796327212,
2032
  "r":0.7262830482,
2033
- "f":0.7520128824
2034
  },
2035
  "det:numgov":{
2036
- "p":0.9607843137,
2037
- "r":0.8448275862,
2038
- "f":0.8990825688
2039
  },
2040
  "acl":{
2041
- "p":0.7843942505,
2042
- "r":0.7764227642,
2043
- "f":0.7803881512
2044
  },
2045
  "fixed":{
2046
- "p":0.8713450292,
2047
- "r":0.7760416667,
2048
- "f":0.8209366391
2049
  },
2050
  "nummod:gov":{
2051
- "p":0.8476190476,
2052
  "r":0.8240740741,
2053
- "f":0.8356807512
2054
  },
2055
  "obl:agent":{
2056
- "p":0.9090909091,
2057
- "r":0.8196721311,
2058
- "f":0.8620689655
2059
  },
2060
  "expl:pv":{
2061
- "p":0.9751243781,
2062
- "r":0.98,
2063
- "f":0.9775561097
2064
  },
2065
  "nmod:arg":{
2066
- "p":0.6207650273,
2067
- "r":0.6521239954,
2068
- "f":0.6360582307
2069
  },
2070
  "advmod":{
2071
- "p":0.8340573414,
2072
- "r":0.8571428571,
2073
- "f":0.8454425363
2074
  },
2075
  "acl:relcl":{
2076
- "p":0.7394366197,
2077
- "r":0.724137931,
2078
- "f":0.7317073171
2079
  },
2080
  "advmod:emph":{
2081
- "p":0.7229437229,
2082
- "r":0.6929460581,
2083
- "f":0.7076271186
 
 
 
 
 
2084
  },
2085
  "mark":{
2086
- "p":0.8857142857,
2087
- "r":0.8794326241,
2088
- "f":0.8825622776
2089
  },
2090
  "ccomp:obj":{
2091
- "p":0.7051282051,
2092
- "r":0.6111111111,
2093
- "f":0.6547619048
2094
  },
2095
  "appos":{
2096
- "p":0.6347826087,
2097
- "r":0.6108786611,
2098
- "f":0.6226012793
2099
- },
2100
- "parataxis:insert":{
2101
- "p":0.5025641026,
2102
- "r":0.4827586207,
2103
- "f":0.4924623116
2104
  },
2105
  "xcomp":{
2106
- "p":0.9166666667,
2107
- "r":0.9166666667,
2108
- "f":0.9166666667
2109
  },
2110
  "advmod:neg":{
2111
- "p":0.969273743,
2112
- "r":0.9585635359,
2113
- "f":0.9638888889
2114
  },
2115
  "det":{
2116
- "p":0.9228915663,
2117
  "r":0.9184652278,
2118
- "f":0.9206730769
2119
  },
2120
  "cop":{
2121
- "p":0.9142857143,
2122
- "r":0.8648648649,
2123
- "f":0.8888888889
2124
- },
2125
- "flat":{
2126
- "p":0.8196721311,
2127
- "r":0.8680555556,
2128
- "f":0.8431703204
2129
  },
2130
  "nsubj:pass":{
2131
- "p":0.7924528302,
2132
- "r":0.7706422018,
2133
- "f":0.7813953488
2134
  },
2135
  "aux:pass":{
2136
- "p":0.9194630872,
2137
- "r":0.9513888889,
2138
- "f":0.9351535836
2139
  },
2140
  "aux:imp":{
2141
  "p":1.0,
@@ -2143,59 +2131,74 @@
2143
  "f":0.9411764706
2144
  },
2145
  "advcl:cmpr":{
2146
- "p":0.5,
2147
- "r":0.3125,
2148
- "f":0.3846153846
2149
  },
2150
  "obl:cmpr":{
2151
- "p":0.7534246575,
2152
- "r":0.6179775281,
2153
- "f":0.6790123457
2154
  },
2155
  "ccomp":{
2156
- "p":0.6306306306,
2157
  "r":0.6542056075,
2158
- "f":0.6422018349
2159
  },
2160
  "nmod:poss":{
2161
- "p":0.6666666667,
2162
- "r":0.3333333333,
2163
- "f":0.4444444444
2164
  },
2165
  "det:poss":{
2166
- "p":0.9939759036,
2167
  "r":0.9593023256,
2168
- "f":0.9763313609
2169
  },
2170
  "aux":{
2171
- "p":0.8495575221,
2172
- "r":0.880733945,
2173
- "f":0.8648648649
2174
  },
2175
  "cc:preconj":{
2176
- "p":0.4666666667,
2177
- "r":0.5384615385,
2178
- "f":0.5
 
 
 
 
 
2179
  },
2180
  "xcomp:pred":{
2181
- "p":0.7297297297,
2182
- "r":0.6585365854,
2183
- "f":0.6923076923
 
 
 
 
 
2184
  },
2185
  "parataxis:obj":{
2186
- "p":0.7609756098,
2187
- "r":0.8082901554,
2188
- "f":0.783919598
 
 
 
 
 
2189
  },
2190
  "vocative":{
2191
- "p":0.5384615385,
2192
- "r":0.5,
2193
- "f":0.5185185185
2194
  },
2195
  "aux:cnd":{
2196
- "p":0.875,
2197
- "r":0.875,
2198
- "f":0.875
2199
  },
2200
  "advmod:arg":{
2201
  "p":0.0,
@@ -2203,69 +2206,64 @@
2203
  "f":0.0
2204
  },
2205
  "csubj":{
2206
- "p":0.7857142857,
2207
- "r":0.5,
2208
- "f":0.6111111111
2209
  },
2210
- "dep":{
 
 
 
 
 
 
 
 
 
 
2211
  "p":0.0,
2212
  "r":0.0,
2213
  "f":0.0
2214
  },
2215
- "amod:flat":{
2216
- "p":0.8087431694,
2217
- "r":0.7830687831,
2218
- "f":0.7956989247
2219
- },
2220
- "discourse:intj":{
2221
- "p":0.2222222222,
2222
- "r":0.2222222222,
2223
- "f":0.2222222222
2224
- },
2225
- "nmod:flat":{
2226
- "p":0.7916666667,
2227
- "r":0.7125,
2228
- "f":0.75
2229
  },
2230
- "orphan":{
2231
  "p":0.0,
2232
  "r":0.0,
2233
  "f":0.0
2234
  },
2235
- "det:nummod":{
2236
- "p":0.9090909091,
2237
- "r":0.9090909091,
2238
- "f":0.9090909091
2239
  },
2240
- "nmod:pred":{
2241
  "p":0.0,
2242
  "r":0.0,
2243
  "f":0.0
2244
  },
2245
- "ccomp:cleft":{
2246
- "p":0.8421052632,
2247
- "r":0.9411764706,
2248
- "f":0.8888888889
2249
  },
2250
- "list":{
2251
- "p":0.75,
2252
- "r":0.6153846154,
2253
- "f":0.676056338
2254
  },
2255
- "xcomp:subj":{
2256
  "p":0.0,
2257
  "r":0.0,
2258
  "f":0.0
2259
  },
2260
  "xcomp:cleft":{
2261
  "p":1.0,
2262
- "r":1.0,
2263
- "f":1.0
2264
- },
2265
- "advcl:relcl":{
2266
- "p":0.5,
2267
- "r":0.25,
2268
- "f":0.3333333333
2269
  },
2270
  "obl:orphan":{
2271
  "p":0.0,
@@ -2273,44 +2271,44 @@
2273
  "f":0.0
2274
  }
2275
  },
2276
- "tag_acc":0.9838424486,
2277
- "lemma_acc":0.8704383534,
2278
- "ents_p":0.8457069077,
2279
- "ents_r":0.8349267049,
2280
- "ents_f":0.8402822322,
2281
  "ents_per_type":{
2282
  "placeName":{
2283
- "p":0.8407494145,
2284
- "r":0.8387850467,
2285
- "f":0.8397660819
2286
  },
2287
  "orgName":{
2288
- "p":0.8116438356,
2289
- "r":0.7596153846,
2290
- "f":0.7847682119
2291
  },
2292
  "date":{
2293
- "p":0.93,
2294
- "r":0.8611111111,
2295
- "f":0.8942307692
2296
  },
2297
  "persName":{
2298
- "p":0.875613748,
2299
- "r":0.9052453469,
2300
- "f":0.8901830283
2301
  },
2302
  "time":{
2303
- "p":0.8846153846,
2304
  "r":0.92,
2305
- "f":0.9019607843
2306
  },
2307
  "geogName":{
2308
- "p":0.6774193548,
2309
- "r":0.6,
2310
- "f":0.6363636364
2311
  }
2312
  },
2313
- "speed":5293.4576974564
2314
  },
2315
  "sources":[
2316
  {
@@ -2331,12 +2329,6 @@
2331
  "license":"GNU GPL 3.0",
2332
  "author":"Miros\u0142aw Ba\u0144ko, Rafa\u0142 L. G\u00f3rski, Barbara Lewandowska-Tomaszczyk, Marek \u0141azi\u0144ski, Piotr P\u0119zik, Adam Przepi\u00f3rkowski"
2333
  },
2334
- {
2335
- "name":"PoliMorf",
2336
- "url":"http://zil.ipipan.waw.pl/PoliMorf",
2337
- "license":"BSD-2-Clause",
2338
- "author":"Woli\u0144ski, Marcin; Mi\u0142kowski, Marcin; Ogrodniczuk, Maciej; Przepi\u00f3rkowski, Adam; Sza\u0142kiewicz, Lukasz"
2339
- },
2340
  {
2341
  "name":"Explosion fastText Vectors (cbow, OSCAR Common Crawl + Wikipedia)",
2342
  "url":"https://spacy.io",
 
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  {
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  "lang":"pl",
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  "name":"core_news_lg",
4
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  "WINIEN",
1744
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1745
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1746
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1747
 
 
 
 
1748
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1749
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1750
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1759
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1760
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1761
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1762
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1763
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1764
  "attribute_ruler",
 
1765
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1766
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1767
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1768
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1769
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1770
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1771
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1772
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1773
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1774
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1775
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1776
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2097
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2329
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  "author":"Miros\u0142aw Ba\u0144ko, Rafa\u0142 L. G\u00f3rski, Barbara Lewandowska-Tomaszczyk, Marek \u0141azi\u0144ski, Piotr P\u0119zik, Adam Przepi\u00f3rkowski"
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  "name":"Explosion fastText Vectors (cbow, OSCAR Common Crawl + Wikipedia)",
2334
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