Update spaCy pipeline
Browse files- README.md +12 -13
- en_Coff_Ev1-any-py3-none-any.whl +2 -2
- meta.json +55 -49
- ner/model +0 -0
- ner/moves +1 -1
- tok2vec/model +1 -1
- vocab/strings.json +12 -0
README.md
CHANGED
@@ -13,20 +13,20 @@ 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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---
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-
A natural language processor API for coffee drinks in all forms
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| Feature | Description |
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| --- | --- |
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| **Name** | `en_Coff_Ev1` |
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| **Version** | `1.1.
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| **spaCy** | `>=3.4.3,<3.5.0` |
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| **Default Pipeline** | `tok2vec`, `ner` |
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| **Components** | `tok2vec`, `ner` |
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@@ -34,17 +34,16 @@ A natural language processor API for coffee drinks in all forms
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| **Sources** | n/a |
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| **License** | n/a |
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| **Author** | [Chris Bruinsma,Iris Chi,Jack Felciano,Jeffrey Li,Dustin Paden]() |
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| **Description**|A natural language processor API for coffee drinks in all forms built from 400+ different coffee drinks for Starbucks and Beyond|
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### Label Scheme
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<details>
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<summary>View label scheme (
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| Component | Labels |
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| --- | --- |
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| **`ner`** | `Anti`, `drink`, `extra`, `milk`, `milk texture`, `pump quantity`, `roast`, `shot quality`, `shot quantity`, `size`, `syrup`, `temperature`, `toppings` |
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</details>
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| Type | Score |
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| --- | --- |
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| `ENTS_F` | 99.
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| `ENTS_P` | 99.
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| `ENTS_R` | 99.
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| `TOK2VEC_LOSS` |
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| `NER_LOSS` |
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metrics:
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- name: NER Precision
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type: precision
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value: 0.9920977011
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- name: NER Recall
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type: recall
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value: 0.9913854989
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- name: NER F Score
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type: f_score
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value: 0.9917414722
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---
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A natural language processor API for coffee drinks in all forms built from 400+ different coffee drinks for Starbucks and Beyond
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| Feature | Description |
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| --- | --- |
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| **Name** | `en_Coff_Ev1` |
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| **Version** | `1.1.1` |
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| **spaCy** | `>=3.4.3,<3.5.0` |
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| **Default Pipeline** | `tok2vec`, `ner` |
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| **Components** | `tok2vec`, `ner` |
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| **Sources** | n/a |
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| **License** | n/a |
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| **Author** | [Chris Bruinsma,Iris Chi,Jack Felciano,Jeffrey Li,Dustin Paden]() |
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### Label Scheme
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<details>
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<summary>View label scheme (14 labels for 1 components)</summary>
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| Component | Labels |
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| --- | --- |
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| **`ner`** | `Anti`, `drink`, `extra`, `milk`, `milk texture`, `pump quantity`, `roast`, `shot quality`, `shot quantity`, `size`, `syrup`, `temperature`, `toppings`, `upside-down` |
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</details>
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| Type | Score |
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| --- | --- |
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| `ENTS_F` | 99.17 |
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| `ENTS_P` | 99.21 |
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| `ENTS_R` | 99.14 |
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| `TOK2VEC_LOSS` | 19296.40 |
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| `NER_LOSS` | 157988.43 |
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en_Coff_Ev1-any-py3-none-any.whl
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meta.json
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{
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"lang":"en",
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"name":"Coff_Ev1",
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"version":"1.1.
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"description":"A natural language processor API for coffee drinks in all forms",
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"author":"Chris Bruinsma,Iris Chi,Jack Felciano,Jeffrey Li,Dustin Paden",
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"description":"A natural language processor API for coffee drinks in all forms built from 400+ different coffee drinks for Starbucks and Beyond",
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"author":"Chris Bruinsma,Iris Chi,Jack Felciano,Jeffrey Li,Dustin Paden",
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ner/model
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ner/moves
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��moves
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��moves�T{"0":{},"1":{"drink":811,"syrup":336,"size":318,"milk":167,"toppings":149,"temperature":123,"pump quantity":54,"Anti":53,"shot quantity":24,"roast":24,"shot quality":22,"extra":15,"upside-down":12,"milk texture":9},"2":{"drink":811,"syrup":336,"size":318,"milk":167,"toppings":149,"temperature":123,"pump quantity":54,"Anti":53,"shot quantity":24,"roast":24,"shot quality":22,"extra":15,"upside-down":12,"milk texture":9},"3":{"drink":811,"syrup":336,"size":318,"milk":167,"toppings":149,"temperature":123,"pump quantity":54,"Anti":53,"shot quantity":24,"roast":24,"shot quality":22,"extra":15,"upside-down":12,"milk texture":9},"4":{"drink":811,"syrup":336,"size":318,"milk":167,"toppings":149,"temperature":123,"pump quantity":54,"Anti":53,"shot quantity":24,"roast":24,"shot quality":22,"extra":15,"upside-down":12,"milk texture":9,"":1},"5":{"":1}}�cfg��neg_key�
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tok2vec/model
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vocab/strings.json
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"Pink",
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"Place",
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"Praline",
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"Prof",
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|
1602 |
"upside",
|
1603 |
+
"upside-down",
|
1604 |
"ure",
|
1605 |
"us",
|
1606 |
"use",
|
|
|
1693 |
"xxxx xxxx",
|
1694 |
"xxxx'",
|
1695 |
"xxxx'x",
|
1696 |
+
"xxxx-xxxx",
|
1697 |
"xxxx\u2019",
|
1698 |
"xxxx\u2019x",
|
1699 |
"xxx\u2019x",
|