EC2 Default User commited on
Commit
b58604d
1 Parent(s): 54fbd65

Update spaCy pipeline

Browse files
.gitattributes CHANGED
@@ -19,3 +19,4 @@
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  *strings.json filter=lfs diff=lfs merge=lfs -text
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  vectors filter=lfs diff=lfs merge=lfs -text
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  model filter=lfs diff=lfs merge=lfs -text
 
 
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  *strings.json filter=lfs diff=lfs merge=lfs -text
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  vectors filter=lfs diff=lfs merge=lfs -text
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  model filter=lfs diff=lfs merge=lfs -text
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+ *key2row filter=lfs diff=lfs merge=lfs -text
LICENSES_SOURCES CHANGED
@@ -18,6 +18,8 @@ http://www.gnu.org/licenses/gpl.html```
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  * License: CC BY 4.0
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  ```
 
 
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  By exercising the Licensed Rights (defined below), You accept and agree to be bound by the terms and conditions of this Creative Commons Attribution 4.0 International Public License ("Public License"). To the extent this Public License may be interpreted as a contract, You are granted the Licensed Rights in consideration of Your acceptance of these terms and conditions, and the Licensor grants You such rights in consideration of benefits the Licensor receives from making the Licensed Material available under these terms and conditions.
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  Section 1 – Definitions.
 
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  * License: CC BY 4.0
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  ```
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+ Creative Commons Attribution 4.0 International Public License
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+
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  By exercising the Licensed Rights (defined below), You accept and agree to be bound by the terms and conditions of this Creative Commons Attribution 4.0 International Public License ("Public License"). To the extent this Public License may be interpreted as a contract, You are granted the Licensed Rights in consideration of Your acceptance of these terms and conditions, and the Licensor grants You such rights in consideration of benefits the Licensor receives from making the Licensed Material available under these terms and conditions.
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  Section 1 – Definitions.
README.md CHANGED
@@ -14,47 +14,62 @@ model-index:
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  metrics:
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  - name: NER Precision
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  type: precision
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- value: 0.9193442623
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  - name: NER Recall
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  type: recall
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  value: 0.9071497897
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  - name: NER F Score
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  type: f_score
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- value: 0.9132063182
 
 
 
 
 
 
 
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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 Accuracy
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  type: accuracy
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- value: 0.9630357913
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  - task:
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- name: SENTER
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  type: token-classification
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  metrics:
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- - name: SENTER Precision
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- type: precision
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- value: 0.9953134153
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- - name: SENTER Recall
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- type: recall
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- value: 0.9941486249
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- - name: SENTER F Score
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- type: f_score
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- value: 0.9947306792
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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 Dependencies Accuracy
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  type: accuracy
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- value: 0.9470394894
 
 
 
 
 
 
 
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  - task:
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  name: LABELED_DEPENDENCIES
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  type: token-classification
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  metrics:
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- - name: Labeled Dependencies Accuracy
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- type: accuracy
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- value: 0.9470394894
 
 
 
 
 
 
 
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  ---
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  ### Details: https://spacy.io/models/ca#ca_core_news_trf
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@@ -63,8 +78,8 @@ Catalan transformer pipeline (PlanTL-GOB-ES/roberta-base-ca). Components: transf
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  | Feature | Description |
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  | --- | --- |
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  | **Name** | `ca_core_news_trf` |
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- | **Version** | `3.2.0` |
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- | **spaCy** | `>=3.2.0,<3.3.0` |
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  | **Default Pipeline** | `transformer`, `morphologizer`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
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  | **Components** | `transformer`, `morphologizer`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
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  | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
@@ -94,18 +109,18 @@ Catalan transformer pipeline (PlanTL-GOB-ES/roberta-base-ca). Components: transf
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  | `TOKEN_P` | 99.78 |
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  | `TOKEN_R` | 99.79 |
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  | `TOKEN_F` | 99.79 |
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- | `POS_ACC` | 96.30 |
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- | `MORPH_ACC` | 95.65 |
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- | `MORPH_MICRO_P` | 99.36 |
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- | `MORPH_MICRO_R` | 98.61 |
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- | `MORPH_MICRO_F` | 98.99 |
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- | `SENTS_P` | 99.53 |
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- | `SENTS_R` | 99.41 |
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- | `SENTS_F` | 99.47 |
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- | `DEP_UAS` | 94.70 |
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- | `DEP_LAS` | 93.01 |
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- | `TAG_ACC` | 96.30 |
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  | `LEMMA_ACC` | 97.69 |
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- | `ENTS_P` | 91.93 |
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  | `ENTS_R` | 90.71 |
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- | `ENTS_F` | 91.32 |
 
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  metrics:
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  - name: NER Precision
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  type: precision
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+ value: 0.9130576359
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  - name: NER Recall
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  type: recall
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  value: 0.9071497897
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  - name: NER F Score
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  type: f_score
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+ value: 0.9100941253
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+ - task:
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+ name: TAG
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+ type: token-classification
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+ metrics:
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+ - name: TAG (XPOS) Accuracy
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+ type: accuracy
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+ value: 0.9630530401
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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: 0.9630530401
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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: 0.9566102338
 
 
 
 
 
 
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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: 0.9768696927
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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: 0.9483632484
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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: 0.9316832909
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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: 0.9927049898
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  ---
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  ### Details: https://spacy.io/models/ca#ca_core_news_trf
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  | Feature | Description |
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  | --- | --- |
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  | **Name** | `ca_core_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`, `morphologizer`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
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  | **Components** | `transformer`, `morphologizer`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
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  | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
 
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  | `TOKEN_P` | 99.78 |
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  | `TOKEN_R` | 99.79 |
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  | `TOKEN_F` | 99.79 |
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+ | `POS_ACC` | 96.31 |
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+ | `MORPH_ACC` | 95.66 |
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+ | `MORPH_MICRO_P` | 99.34 |
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+ | `MORPH_MICRO_R` | 93.35 |
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+ | `MORPH_MICRO_F` | 96.25 |
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+ | `SENTS_P` | 99.01 |
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+ | `SENTS_R` | 99.53 |
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+ | `SENTS_F` | 99.27 |
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+ | `DEP_UAS` | 94.84 |
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+ | `DEP_LAS` | 93.17 |
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+ | `TAG_ACC` | 96.31 |
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  | `LEMMA_ACC` | 97.69 |
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+ | `ENTS_P` | 91.31 |
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  | `ENTS_R` | 90.71 |
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+ | `ENTS_F` | 91.01 |
accuracy.json CHANGED
@@ -3,81 +3,81 @@
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