Adriane Boyd
commited on
Commit
·
e054e51
1
Parent(s):
9939882
Update spaCy pipeline
Browse files- README.md +10 -18
- accuracy.json +16 -17
- config.cfg +1 -6
- meta.json +19 -25
- ner/model +1 -1
- ner/moves +1 -1
- vocab/strings.json +2 -2
- xx_ent_wiki_sm-any-py3-none-any.whl +2 -2
README.md
CHANGED
@@ -14,20 +14,13 @@ 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.
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- name: NER Recall
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type: recall
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value: 0.
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- name: NER F Score
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type: f_score
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value: 0.
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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: 0.0
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---
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### Details: https://spacy.io/models/xx#xx_ent_wiki_sm
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@@ -36,10 +29,10 @@ Multi-language pipeline optimized for CPU. Components: ner.
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| Feature | Description |
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| --- | --- |
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| **Name** | `xx_ent_wiki_sm` |
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| **Version** | `3.
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| **spaCy** | `>=3.
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| **Default Pipeline** | `
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| **Components** | `
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| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
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| **Sources** | [WikiNER](https://figshare.com/articles/Learning_multilingual_named_entity_recognition_from_Wikipedia/5462500) (Joel Nothman, Nicky Ringland, Will Radford, Tara Murphy, James R Curran) |
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| **License** | `MIT` |
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@@ -61,7 +54,6 @@ Multi-language pipeline optimized for CPU. Components: ner.
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| Type | Score |
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| --- | --- |
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| `
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| `
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| `
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| `ENTS_F` | 83.10 |
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metrics:
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- name: NER Precision
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type: precision
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value: 0.8347644482
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- name: NER Recall
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type: recall
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value: 0.8268038067
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- name: NER F Score
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type: f_score
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value: 0.8307650576
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---
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### Details: https://spacy.io/models/xx#xx_ent_wiki_sm
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| Feature | Description |
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| --- | --- |
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| **Name** | `xx_ent_wiki_sm` |
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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** | `ner` |
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| **Components** | `ner` |
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| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
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| **Sources** | [WikiNER](https://figshare.com/articles/Learning_multilingual_named_entity_recognition_from_Wikipedia/5462500) (Joel Nothman, Nicky Ringland, Will Radford, Tara Murphy, James R Curran) |
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| **License** | `MIT` |
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| Type | Score |
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| --- | --- |
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| `ENTS_P` | 83.48 |
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| `ENTS_R` | 82.68 |
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| `ENTS_F` | 83.08 |
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accuracy.json
CHANGED
@@ -1,29 +1,28 @@
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{
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"speed":
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{
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"ents_r": 0.8268038067,
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"ents_f": 0.8307650576,
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"ents_per_type": {
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"LOC": {
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"speed": 30151.147570624
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}
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config.cfg
CHANGED
@@ -10,7 +10,7 @@ seed = 0
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[nlp]
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lang = "xx"
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pipeline = ["
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disabled = []
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before_creation = null
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after_creation = null
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[components]
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[components.attribute_ruler]
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factory = "attribute_ruler"
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scorer = {"@scorers":"spacy.attribute_ruler_scorer.v1"}
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validate = false
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[components.ner]
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factory = "ner"
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incorrect_spans_key = null
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[nlp]
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lang = "xx"
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pipeline = ["ner"]
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disabled = []
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before_creation = null
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after_creation = null
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[components]
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[components.ner]
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factory = "ner"
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incorrect_spans_key = null
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meta.json
CHANGED
@@ -1,14 +1,14 @@
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{
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"lang":"xx",
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"name":"ent_wiki_sm",
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"version":"3.
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"description":"Multi-language pipeline optimized for CPU. Components: ner.",
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"author":"Explosion",
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"email":"[email protected]",
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"url":"https://explosion.ai",
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"license":"MIT",
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"spacy_version":">=3.
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"spacy_git_version":"
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"vectors":{
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"width":0,
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"vectors":0,
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"name":null
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"labels":{
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"attribute_ruler":[
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],
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"ner":[
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"LOC",
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"MISC",
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]
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},
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"pipeline":[
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"attribute_ruler",
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"ner"
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"components":[
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"attribute_ruler",
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"disabled":[
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"sources":[
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{
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{
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"lang":"xx",
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"name":"ent_wiki_sm",
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"version":"3.4.0",
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"description":"Multi-language pipeline optimized for CPU. Components: ner.",
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"author":"Explosion",
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"email":"[email protected]",
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"url":"https://explosion.ai",
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"license":"MIT",
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"spacy_version":">=3.4.0,<3.5.0",
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"spacy_git_version":"dd038b536",
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"vectors":{
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"labels":{
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"ner":[
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"pipeline":[
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"ner"
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"components":[
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"ner"
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"disabled":[
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"performance":{
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"sources":[
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{
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ner/model
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ner/moves
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��moves�{"0":{},"1":{"LOC":
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��moves�{"0":{},"1":{"LOC":1069510,"PER":750139,"MISC":528375,"ORG":332495},"2":{"LOC":1069510,"PER":750139,"MISC":528375,"ORG":332495},"3":{"LOC":1069510,"PER":750139,"MISC":528375,"ORG":332495},"4":{"LOC":1069510,"PER":750139,"MISC":528375,"ORG":332495,"":1},"5":{"":1}}�cfg��neg_key�
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vocab/strings.json
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xx_ent_wiki_sm-any-py3-none-any.whl
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