Update spaCy pipeline
Browse files- .gitattributes +1 -0
- README.md +22 -22
- accuracy.json +129 -129
- attribute_ruler/patterns +0 -0
- config.cfg +10 -10
- grc_proiel_trf-any-py3-none-any.whl +2 -2
- lemmatizer/model +1 -1
- meta.json +144 -144
- morphologizer/cfg +1 -0
- morphologizer/model +1 -1
- parser/model +1 -1
- senter/model +0 -0
- tagger/cfg +1 -0
- tagger/model +0 -0
- transformer/model +2 -2
- vocab/strings.json +2 -2
- vocab/vectors +0 -0
- vocab/vectors.cfg +8 -1
.gitattributes
CHANGED
@@ -39,3 +39,4 @@ morphologizer/model filter=lfs diff=lfs merge=lfs -text
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parser/model filter=lfs diff=lfs merge=lfs -text
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transformer/model filter=lfs diff=lfs merge=lfs -text
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vocab/strings.json filter=lfs diff=lfs merge=lfs -text
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parser/model filter=lfs diff=lfs merge=lfs -text
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transformer/model filter=lfs diff=lfs merge=lfs -text
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vocab/strings.json filter=lfs diff=lfs merge=lfs -text
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+
vocab/vectors filter=lfs diff=lfs merge=lfs -text
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README.md
CHANGED
@@ -13,35 +13,35 @@ 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.
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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.
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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.
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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.
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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.
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- task:
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name: LABELED_DEPENDENCIES
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type: token-classification
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@@ -55,16 +55,16 @@ model-index:
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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.
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---
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| Feature | Description |
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| --- | --- |
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| **Name** | `grc_proiel_trf` |
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-
| **Version** | `3.
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-
| **spaCy** | `>=3.
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| **Default Pipeline** | `transformer`, `morphologizer`, `tagger`, `parser`, `senter`, `lemmatizer`, `attribute_ruler` |
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| **Components** | `transformer`, `morphologizer`, `tagger`, `parser`, `senter`, `lemmatizer`, `attribute_ruler` |
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-
| **Vectors** |
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| **Sources** | n/a |
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| **License** | n/a |
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| **Author** | [n/a]() |
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@@ -87,17 +87,17 @@ model-index:
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| Type | Score |
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| --- | --- |
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-
| `POS_ACC` | 98.
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91 |
-
| `MORPH_ACC` |
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92 |
-
| `TAG_ACC` | 98.
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93 |
-
| `DEP_UAS` | 85.
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| `DEP_LAS` | 82.30 |
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-
| `SENTS_P` |
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-
| `SENTS_R` |
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-
| `SENTS_F` |
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98 |
-
| `LEMMA_ACC` | 96.
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-
| `TRANSFORMER_LOSS` |
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-
| `MORPHOLOGIZER_LOSS` |
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-
| `TAGGER_LOSS` |
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-
| `PARSER_LOSS` |
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-
| `SENTER_LOSS` |
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metrics:
|
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- name: TAG (XPOS) Accuracy
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type: accuracy
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+
value: 0.9852768825
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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: 0.9845443891
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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: 0.9417667741
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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: 0.9656460592
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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: 0.8578962789
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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: Sentences F-Score
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type: f_score
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+
value: 0.7273612463
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---
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| Feature | Description |
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| --- | --- |
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| **Name** | `grc_proiel_trf` |
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| **Version** | `3.6.0` |
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+
| **spaCy** | `>=3.6.0,<3.7.0` |
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| **Default Pipeline** | `transformer`, `morphologizer`, `tagger`, `parser`, `senter`, `lemmatizer`, `attribute_ruler` |
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| **Components** | `transformer`, `morphologizer`, `tagger`, `parser`, `senter`, `lemmatizer`, `attribute_ruler` |
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+
| **Vectors** | -1 keys, 200000 unique vectors (300 dimensions) |
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| **Sources** | n/a |
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| **License** | n/a |
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| **Author** | [n/a]() |
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| Type | Score |
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| --- | --- |
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+
| `POS_ACC` | 98.45 |
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+
| `MORPH_ACC` | 94.18 |
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+
| `TAG_ACC` | 98.53 |
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93 |
+
| `DEP_UAS` | 85.79 |
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| `DEP_LAS` | 82.30 |
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95 |
+
| `SENTS_P` | 72.17 |
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96 |
+
| `SENTS_R` | 73.31 |
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97 |
+
| `SENTS_F` | 72.74 |
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98 |
+
| `LEMMA_ACC` | 96.56 |
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99 |
+
| `TRANSFORMER_LOSS` | 1073869.67 |
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+
| `MORPHOLOGIZER_LOSS` | 10669.96 |
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+
| `TAGGER_LOSS` | 3055.26 |
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+
| `PARSER_LOSS` | 2280839.70 |
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+
| `SENTER_LOSS` | 2448545.61 |
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accuracy.json
CHANGED
@@ -3,51 +3,51 @@
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"token_p":1.0,
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"token_r":1.0,
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"token_f":1.0,
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-
"pos_acc":0.
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-
"morph_acc":0.
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-
"morph_micro_p":0.
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-
"morph_micro_r":0.
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-
"morph_micro_f":0.
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"morph_per_feat":{
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"Case":{
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"p":0.
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"r":0.
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"f":0.
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"Gender":{
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"p":0.
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"r":0.
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"f":0.
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"Number":{
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"r":0.
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"Aspect":{
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"p":0.
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"r":0.
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"f":0.
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},
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"Mood":{
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"r":0.
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"Person":{
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"r":0.
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"f":0.
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"Tense":{
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"r":0.
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"Voice":{
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"p":0.9773391813,
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@@ -60,14 +60,14 @@
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"f":0.9862554475
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},
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"Degree":{
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-
"p":0.
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"r":0.
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"f":0.
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"Definite":{
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"r":0.
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"f":0.
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"Reflex":{
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"p":1.0,
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@@ -81,126 +81,126 @@
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"Poss":{
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"p":1.0,
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"r":
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"dep_uas":0.
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"dep_las":0.
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"dep_las_per_type":{
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@@ -213,34 +213,34 @@
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config.cfg
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[paths]
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