Update spaCy pipeline
Browse files- README.md +12 -11
- config.cfg +2 -2
- en_Coff_Ev1-any-py3-none-any.whl +2 -2
- meta.json +47 -47
- ner/model +0 -0
- ner/moves +1 -1
- tok2vec/model +1 -1
- vocab/strings.json +23 -0
README.md
CHANGED
@@ -4,6 +4,7 @@ tags:
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- token-classification
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language:
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- en
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model-index:
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- name: en_Coff_Ev1
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results:
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@@ -13,26 +14,26 @@ 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 built from nearly 500+ different coffee drinks for Starbucks and
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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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| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
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| **Sources** | n/a |
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-
| **License** |
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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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| 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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- token-classification
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language:
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- en
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+
license: mit
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model-index:
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- name: en_Coff_Ev1
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results:
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metrics:
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- name: NER Precision
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type: precision
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value: 0.9928104575
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- name: NER Recall
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type: recall
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value: 0.9921619856
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- name: NER F Score
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type: f_score
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value: 0.9924861156
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---
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+
A natural language processor API for coffee drinks in all forms built from nearly 500+ different coffee drinks for Starbucks and your local coffee shop
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| Feature | Description |
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| --- | --- |
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| **Name** | `en_Coff_Ev1` |
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| **Version** | `1.1.2` |
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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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| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
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| **Sources** | n/a |
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| **License** | `MIT` |
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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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| Type | Score |
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| --- | --- |
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| `ENTS_F` | 99.25 |
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| `ENTS_P` | 99.28 |
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| `ENTS_R` | 99.22 |
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| `TOK2VEC_LOSS` | 79694.90 |
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| `NER_LOSS` | 189668.04 |
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config.cfg
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@@ -11,7 +11,7 @@ seed = 0
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[nlp]
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lang = "en"
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pipeline = ["tok2vec","ner"]
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-
batch_size =
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disabled = []
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before_creation = null
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after_creation = null
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grad_clip = 1.0
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use_averages = false
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eps = 0.00000001
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-
learn_rate = 0.
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[training.score_weights]
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ents_f = 1.0
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[nlp]
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lang = "en"
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pipeline = ["tok2vec","ner"]
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batch_size = 50
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disabled = []
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before_creation = null
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after_creation = null
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grad_clip = 1.0
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use_averages = false
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eps = 0.00000001
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learn_rate = 0.0001
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[training.score_weights]
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ents_f = 1.0
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en_Coff_Ev1-any-py3-none-any.whl
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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size 5673787
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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 built from
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"author":"Chris Bruinsma,Iris Chi,Jack Felciano,Jeffrey Li,Dustin Paden",
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-
"email":"",
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"url":"",
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"license":"",
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"spacy_version":">=3.4.3,<3.5.0",
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"spacy_git_version":"63673a792",
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"vectors":{
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"toppings":{
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"Anti":{
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"ner_loss":
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"requirements":[
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{
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"lang":"en",
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"name":"Coff_Ev1",
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4 |
+
"version":"1.1.2",
|
5 |
+
"description":"A natural language processor API for coffee drinks in all forms built from nearly 500+ different coffee drinks for Starbucks and your local coffee shop",
|
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"author":"Chris Bruinsma,Iris Chi,Jack Felciano,Jeffrey Li,Dustin Paden",
|
7 |
+
"email":"christopher.j.bruinsm@outlook.com",
|
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"url":"",
|
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"license":"MIT",
|
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"spacy_version":">=3.4.3,<3.5.0",
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"spacy_git_version":"63673a792",
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"vectors":{
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],
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"performance":{
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"ner_loss":1896.6804416175
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"requirements":[
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ner/model
CHANGED
Binary files a/ner/model and b/ner/model differ
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ner/moves
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��moves�T{"0":{},"1":{"drink":
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��moves�T{"0":{},"1":{"drink":880,"syrup":367,"size":347,"milk":187,"toppings":160,"temperature":129,"Anti":59,"pump quantity":58,"shot quality":35,"shot quantity":34,"roast":24,"extra":17,"upside-down":12,"milk texture":9},"2":{"drink":880,"syrup":367,"size":347,"milk":187,"toppings":160,"temperature":129,"Anti":59,"pump quantity":58,"shot quality":35,"shot quantity":34,"roast":24,"extra":17,"upside-down":12,"milk texture":9},"3":{"drink":880,"syrup":367,"size":347,"milk":187,"toppings":160,"temperature":129,"Anti":59,"pump quantity":58,"shot quality":35,"shot quantity":34,"roast":24,"extra":17,"upside-down":12,"milk texture":9},"4":{"drink":880,"syrup":367,"size":347,"milk":187,"toppings":160,"temperature":129,"Anti":59,"pump quantity":58,"shot quality":35,"shot quantity":34,"roast":24,"extra":17,"upside-down":12,"milk texture":9,"":1},"5":{"":1}}�cfg��neg_key�
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tok2vec/model
CHANGED
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 6009091
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version https://git-lfs.github.com/spec/v1
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oid sha256:dd132f7fca40616523d8c55bc18dcbb8ff56c835fdcb86d2a82f93c8f4aac355
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size 6009091
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vocab/strings.json
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"Colo",
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"Colo.",
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"Colorado",
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"Conn",
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"Conn.",
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"Connecticut",
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"Florida",
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"Foamy",
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"Fog",
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"Frappe",
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"Frappeccino",
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"Frappuccino",
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"Fresher",
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"G",
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"Ga",
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"He's",
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"He\u2019s",
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"Hi",
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"Hot",
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"How",
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"How's",
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"Ltd.",
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"M",
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"Ma'am",
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"Mango",
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"Mar",
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"Mar.",
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"P",
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"Pa",
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"Pa.",
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"Paradise",
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"Passion",
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"Peach",
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"Praline",
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"Prof",
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"Prof.",
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"Pumpkin",
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"R",
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"ROOT",
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"Rep.",
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"Rev",
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"Rev.",
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"Room",
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"S",
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"S.C.",
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"Sen",
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"Sen.",
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"She\u2019s",
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"Short",
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"Should",
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"Small",
|
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"Somethin",
|
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"Somethin'",
|
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"Somethin\u2019",
|
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"South Carolina",
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"Soy",
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"Spiced",
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"St",
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"St.",
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"ado",
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"afe",
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"aff",
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"ai",
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"ak",
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"ak.",
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"a\u00e7a\u00ed",
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"b",
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"b.",
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"base",
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"bean",
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"because",
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"calif",
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"calif.",
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"can",
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"cappuccino",
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"cappuchino",
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"caramel",
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"crumble",
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"crunch",
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"ct.",
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"customized",
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"cuz",
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"c\u2019m",
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"foam",
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"foamy",
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"fog",
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"frappe",
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"frappeccino",
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"frappuccino",
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"frappuchino",
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"free",
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"french",
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"fresher",
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"let\u2019s",
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"lif",
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"light",
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"ll",
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"ll.",
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"lla",
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"md",
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"md.",
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"med",
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"medium",
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"mega",
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"mel",
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"pump quantity",
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"pumpkin",
|
1439 |
"pumps",
|
|
|
1440 |
"q",
|
1441 |
"q.",
|
1442 |
"quad",
|
@@ -1452,6 +1472,7 @@
|
|
1452 |
"refreshers",
|
1453 |
"rep",
|
1454 |
"rep.",
|
|
|
1455 |
"rev",
|
1456 |
"rev.",
|
1457 |
"rew",
|
@@ -1474,6 +1495,7 @@
|
|
1474 |
"rup",
|
1475 |
"rus",
|
1476 |
"s",
|
|
|
1477 |
"s's",
|
1478 |
"s.",
|
1479 |
"s.c.",
|
@@ -1567,6 +1589,7 @@
|
|
1567 |
"this\u2019s",
|
1568 |
"those",
|
1569 |
"three",
|
|
|
1570 |
"to",
|
1571 |
"toasted",
|
1572 |
"toffee",
|
|
|
346 |
"Colo",
|
347 |
"Colo.",
|
348 |
"Colorado",
|
349 |
+
"Con",
|
350 |
"Conn",
|
351 |
"Conn.",
|
352 |
"Connecticut",
|
|
|
399 |
"Florida",
|
400 |
"Foamy",
|
401 |
"Fog",
|
402 |
+
"Four",
|
403 |
"Frappe",
|
404 |
"Frappeccino",
|
405 |
"Frappuccino",
|
406 |
+
"Frappucino",
|
407 |
"Fresher",
|
408 |
"G",
|
409 |
"Ga",
|
|
|
435 |
"He's",
|
436 |
"He\u2019s",
|
437 |
"Hi",
|
438 |
+
"Honey",
|
439 |
"Hot",
|
440 |
"How",
|
441 |
"How's",
|
|
|
509 |
"Ltd.",
|
510 |
"M",
|
511 |
"Ma'am",
|
512 |
+
"Macchiato",
|
513 |
"Mango",
|
514 |
"Mar",
|
515 |
"Mar.",
|
|
|
613 |
"P",
|
614 |
"Pa",
|
615 |
"Pa.",
|
616 |
+
"Panna",
|
617 |
"Paradise",
|
618 |
"Passion",
|
619 |
"Peach",
|
|
|
629 |
"Praline",
|
630 |
"Prof",
|
631 |
"Prof.",
|
632 |
+
"Pump",
|
633 |
"Pumpkin",
|
634 |
"R",
|
635 |
"ROOT",
|
|
|
640 |
"Rep.",
|
641 |
"Rev",
|
642 |
"Rev.",
|
643 |
+
"Ristretto",
|
644 |
"Room",
|
645 |
"S",
|
646 |
+
"S'mores",
|
647 |
"S.C.",
|
648 |
"Sen",
|
649 |
"Sen.",
|
|
|
659 |
"She\u2019s",
|
660 |
"Short",
|
661 |
"Should",
|
662 |
+
"Skinny",
|
663 |
"Small",
|
664 |
"Somethin",
|
665 |
"Somethin'",
|
666 |
"Somethin\u2019",
|
667 |
"South Carolina",
|
668 |
"Soy",
|
669 |
+
"Spice",
|
670 |
"Spiced",
|
671 |
"St",
|
672 |
"St.",
|
|
|
824 |
"ado",
|
825 |
"afe",
|
826 |
"aff",
|
827 |
+
"affagato",
|
828 |
"ai",
|
829 |
"ak",
|
830 |
"ak.",
|
|
|
872 |
"a\u00e7a\u00ed",
|
873 |
"b",
|
874 |
"b.",
|
875 |
+
"ball",
|
876 |
"base",
|
877 |
"bean",
|
878 |
"because",
|
|
|
911 |
"calif",
|
912 |
"calif.",
|
913 |
"can",
|
914 |
+
"cap",
|
915 |
"cappuccino",
|
916 |
"cappuchino",
|
917 |
"caramel",
|
|
|
962 |
"crumble",
|
963 |
"crunch",
|
964 |
"ct.",
|
965 |
+
"cup",
|
966 |
"customized",
|
967 |
"cuz",
|
968 |
"c\u2019m",
|
|
|
1065 |
"foam",
|
1066 |
"foamy",
|
1067 |
"fog",
|
1068 |
+
"four",
|
1069 |
"frappe",
|
1070 |
"frappeccino",
|
1071 |
"frappuccino",
|
1072 |
"frappuchino",
|
1073 |
+
"frappucino",
|
1074 |
"free",
|
1075 |
"french",
|
1076 |
"fresher",
|
|
|
1237 |
"let\u2019s",
|
1238 |
"lif",
|
1239 |
"light",
|
1240 |
+
"lightly",
|
1241 |
"ll",
|
1242 |
"ll.",
|
1243 |
"lla",
|
|
|
1270 |
"md",
|
1271 |
"md.",
|
1272 |
"med",
|
1273 |
+
"medicine",
|
1274 |
"medium",
|
1275 |
"mega",
|
1276 |
"mel",
|
|
|
1456 |
"pump quantity",
|
1457 |
"pumpkin",
|
1458 |
"pumps",
|
1459 |
+
"pup",
|
1460 |
"q",
|
1461 |
"q.",
|
1462 |
"quad",
|
|
|
1472 |
"refreshers",
|
1473 |
"rep",
|
1474 |
"rep.",
|
1475 |
+
"res",
|
1476 |
"rev",
|
1477 |
"rev.",
|
1478 |
"rew",
|
|
|
1495 |
"rup",
|
1496 |
"rus",
|
1497 |
"s",
|
1498 |
+
"s'mores",
|
1499 |
"s's",
|
1500 |
"s.",
|
1501 |
"s.c.",
|
|
|
1589 |
"this\u2019s",
|
1590 |
"those",
|
1591 |
"three",
|
1592 |
+
"tly",
|
1593 |
"to",
|
1594 |
"toasted",
|
1595 |
"toffee",
|