Adriane Boyd commited on
Commit
dc398d9
1 Parent(s): dad7218

Update spaCy pipeline

Browse files
README.md CHANGED
@@ -14,49 +14,49 @@ model-index:
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  metrics:
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  - name: TAG (XPOS) Accuracy
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  type: accuracy
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- value: 0.9902998586
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  - task:
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  name: POS
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  type: token-classification
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  metrics:
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  - name: POS (UPOS) Accuracy
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  type: accuracy
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- value: 0.9913438793
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  - task:
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  name: MORPH
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  type: token-classification
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  metrics:
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  - name: Morph (UFeats) Accuracy
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  type: accuracy
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- value: 0.9695311726
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  - task:
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  name: LEMMA
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  type: token-classification
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  metrics:
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  - name: Lemma Accuracy
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  type: accuracy
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- value: 0.9870761424
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  - task:
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  name: UNLABELED_DEPENDENCIES
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  type: token-classification
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  metrics:
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  - name: Unlabeled Attachment Score (UAS)
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  type: f_score
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- value: 0.9581561669
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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: 0.947052902
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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: 0.9830788279
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  ---
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  ### Details: https://spacy.io/models/de#de_dep_news_trf
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@@ -65,8 +65,8 @@ German transformer pipeline (bert-base-german-cased). Components: transformer, t
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  | Feature | Description |
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  | --- | --- |
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  | **Name** | `de_dep_news_trf` |
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- | **Version** | `3.3.0` |
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- | **spaCy** | `>=3.3.0.dev0,<3.4.0` |
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  | **Default Pipeline** | `transformer`, `tagger`, `morphologizer`, `parser`, `lemmatizer`, `attribute_ruler` |
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  | **Components** | `transformer`, `tagger`, `morphologizer`, `parser`, `lemmatizer`, `attribute_ruler` |
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  | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
@@ -96,15 +96,15 @@ German transformer pipeline (bert-base-german-cased). Components: transformer, t
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  | `TOKEN_P` | 99.92 |
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  | `TOKEN_R` | 99.90 |
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  | `TOKEN_F` | 99.91 |
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- | `TAG_ACC` | 99.03 |
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- | `POS_ACC` | 99.13 |
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- | `MORPH_ACC` | 96.95 |
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- | `MORPH_MICRO_P` | 98.83 |
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- | `MORPH_MICRO_R` | 98.83 |
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- | `MORPH_MICRO_F` | 98.83 |
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- | `SENTS_P` | 98.17 |
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- | `SENTS_R` | 98.45 |
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- | `SENTS_F` | 98.31 |
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- | `DEP_UAS` | 95.82 |
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- | `DEP_LAS` | 94.71 |
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- | `LEMMA_ACC` | 98.71 |
 
14
  metrics:
15
  - name: TAG (XPOS) Accuracy
16
  type: accuracy
17
+ value: 0.9905311916
18
  - task:
19
  name: POS
20
  type: token-classification
21
  metrics:
22
  - name: POS (UPOS) Accuracy
23
  type: accuracy
24
+ value: 0.9913637595
25
  - task:
26
  name: MORPH
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  type: token-classification
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  metrics:
29
  - name: Morph (UFeats) Accuracy
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  type: accuracy
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+ value: 0.9697694549
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  - task:
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  name: LEMMA
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  type: token-classification
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  metrics:
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  - name: Lemma Accuracy
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  type: accuracy
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+ value: 0.9869043529
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  - task:
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  name: UNLABELED_DEPENDENCIES
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  type: token-classification
42
  metrics:
43
  - name: Unlabeled Attachment Score (UAS)
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  type: f_score
45
+ value: 0.9596322281
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  - task:
47
  name: LABELED_DEPENDENCIES
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  type: token-classification
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  metrics:
50
  - name: Labeled Attachment Score (LAS)
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  type: f_score
52
+ value: 0.9482294969
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  - task:
54
  name: SENTS
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  type: token-classification
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  metrics:
57
  - name: Sentences F-Score
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  type: f_score
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+ value: 0.9825647374
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  ---
61
  ### Details: https://spacy.io/models/de#de_dep_news_trf
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  | Feature | Description |
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  | --- | --- |
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  | **Name** | `de_dep_news_trf` |
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+ | **Version** | `3.4.0` |
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+ | **spaCy** | `>=3.4.0,<3.5.0` |
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  | **Default Pipeline** | `transformer`, `tagger`, `morphologizer`, `parser`, `lemmatizer`, `attribute_ruler` |
71
  | **Components** | `transformer`, `tagger`, `morphologizer`, `parser`, `lemmatizer`, `attribute_ruler` |
72
  | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
 
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  | `TOKEN_P` | 99.92 |
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  | `TOKEN_R` | 99.90 |
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  | `TOKEN_F` | 99.91 |
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+ | `TAG_ACC` | 99.05 |
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+ | `POS_ACC` | 99.14 |
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+ | `MORPH_ACC` | 96.98 |
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+ | `MORPH_MICRO_P` | 98.84 |
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+ | `MORPH_MICRO_R` | 98.86 |
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+ | `MORPH_MICRO_F` | 98.85 |
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+ | `SENTS_P` | 98.10 |
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+ | `SENTS_R` | 98.41 |
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+ | `SENTS_F` | 98.26 |
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+ | `DEP_UAS` | 95.96 |
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+ | `DEP_LAS` | 94.82 |
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+ | `LEMMA_ACC` | 98.69 |
accuracy.json CHANGED
@@ -3,67 +3,67 @@
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  "Poss": {
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  "p": 1.0,
@@ -71,66 +71,66 @@
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  "f": 1.0
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@@ -223,44 +223,44 @@
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- "lemma_acc": 0.9870761424,
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792
  1306,
793
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794
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796
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797
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798
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800
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801
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802
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803
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804
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805
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807
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812
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813
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814
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816
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817
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818
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820
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821
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822
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823
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825
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826
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832
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833
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835
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836
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837
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@@ -840,51 +842,46 @@
840
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841
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842
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843
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846
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847
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850
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852
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853
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856
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857
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858
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859
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860
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861
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862
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863
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864
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866
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867
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  1406,
870
  1407,
 
 
871
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872
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873
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874
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875
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876
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877
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878
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879
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880
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881
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882
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883
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884
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885
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886
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887
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888
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889
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890
  1429,
@@ -896,12 +893,12 @@
896
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897
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898
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900
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901
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902
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903
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905
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906
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907
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@@ -919,134 +916,138 @@
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920
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921
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922
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923
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924
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925
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936
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937
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940
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950
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951
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952
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953
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954
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955
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956
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957
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958
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959
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960
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963
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964
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965
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967
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969
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970
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985
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987
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988
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989
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990
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991
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992
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993
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994
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995
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996
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997
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998
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999
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1000
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1002
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1006
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1008
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1011
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1012
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1014
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1015
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1018
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1020
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1022
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1023
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1024
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1025
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1026
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1027
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1028
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1030
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1031
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1034
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1035
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1036
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1037
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1038
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1039
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1041
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1043
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1044
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1045
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1046
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1047
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1048
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1049
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1050
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1051
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1052
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@@ -1055,176 +1056,178 @@
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1100
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1101
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1102
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1104
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1107
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1108
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1134
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1135
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1191
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1195
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1196
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1197
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1224
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1230
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@@ -1232,6 +1235,7 @@
1232
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1234
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1235
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@@ -1240,8 +1244,8 @@
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1242
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@@ -1254,27 +1258,26 @@
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1256
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1259
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1278
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@@ -1282,11 +1285,18 @@
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1285
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1286
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1288
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1291
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1292
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