Saurabh1105
commited on
Commit
•
04c7210
1
Parent(s):
ecd80e0
Update spaCy pipeline
Browse files- .gitattributes +2 -0
- README.md +56 -0
- config.cfg +144 -0
- en_pipeline-any-py3-none-any.whl +3 -0
- meta.json +90 -0
- ner/cfg +13 -0
- ner/model +0 -0
- ner/moves +1 -0
- tok2vec/cfg +3 -0
- tok2vec/model +3 -0
- tokenizer +3 -0
- vocab/key2row +1 -0
- vocab/lookups.bin +3 -0
- vocab/strings.json +2028 -0
- vocab/vectors +0 -0
- vocab/vectors.cfg +3 -0
.gitattributes
CHANGED
@@ -32,3 +32,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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en_pipeline-any-py3-none-any.whl filter=lfs diff=lfs merge=lfs -text
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tok2vec/model filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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tags:
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- spacy
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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_pipeline
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results:
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- task:
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name: NER
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type: token-classification
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metrics:
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- name: NER Precision
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type: precision
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value: 0.898989899
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- name: NER Recall
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type: recall
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value: 0.8682926829
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- name: NER F Score
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type: f_score
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value: 0.8833746898
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---
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| Feature | Description |
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| --- | --- |
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| **Name** | `en_pipeline` |
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| **Version** | `0.0.0` |
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| **spaCy** | `>=3.5.1,<3.6.0` |
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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** | n/a |
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| **Author** | [n/a]() |
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### Label Scheme
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<details>
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<summary>View label scheme (7 labels for 1 components)</summary>
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| Component | Labels |
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| --- | --- |
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| **`ner`** | `DURATION`, `LOC`, `MISC`, `MONEY`, `ORG`, `PER`, `REASON` |
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</details>
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### Accuracy
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| Type | Score |
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| --- | --- |
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| `ENTS_F` | 88.34 |
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| `ENTS_P` | 89.90 |
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| `ENTS_R` | 86.83 |
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| `TOK2VEC_LOSS` | 322.84 |
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| `NER_LOSS` | 4541.55 |
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config.cfg
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[paths]
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train = "/content/Custom_NER_Spacy3/corpus/train.spacy"
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dev = "/content/Custom_NER_Spacy3/corpus/dev.spacy"
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vectors = null
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init_tok2vec = null
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[system]
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gpu_allocator = null
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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 = 1000
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disabled = []
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before_creation = null
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after_creation = null
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after_pipeline_creation = null
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tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"}
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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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moves = null
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scorer = {"@scorers":"spacy.ner_scorer.v1"}
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update_with_oracle_cut_size = 100
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[components.ner.model]
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@architectures = "spacy.TransitionBasedParser.v2"
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state_type = "ner"
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extra_state_tokens = false
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hidden_width = 64
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maxout_pieces = 2
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use_upper = true
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nO = null
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[components.ner.model.tok2vec]
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@architectures = "spacy.Tok2VecListener.v1"
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width = ${components.tok2vec.model.encode.width}
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upstream = "*"
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[components.tok2vec]
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factory = "tok2vec"
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[components.tok2vec.model]
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@architectures = "spacy.Tok2Vec.v2"
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[components.tok2vec.model.embed]
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@architectures = "spacy.MultiHashEmbed.v2"
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width = ${components.tok2vec.model.encode.width}
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attrs = ["NORM","PREFIX","SUFFIX","SHAPE"]
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rows = [5000,1000,2500,2500]
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include_static_vectors = false
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[components.tok2vec.model.encode]
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@architectures = "spacy.MaxoutWindowEncoder.v2"
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width = 96
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depth = 4
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window_size = 1
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maxout_pieces = 3
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[corpora]
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[corpora.dev]
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@readers = "spacy.Corpus.v1"
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path = ${paths.dev}
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max_length = 0
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gold_preproc = false
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limit = 0
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augmenter = null
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[corpora.train]
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@readers = "spacy.Corpus.v1"
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path = ${paths.train}
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max_length = 0
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gold_preproc = false
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limit = 0
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augmenter = null
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[training]
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dev_corpus = "corpora.dev"
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train_corpus = "corpora.train"
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seed = ${system.seed}
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gpu_allocator = ${system.gpu_allocator}
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dropout = 0.1
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accumulate_gradient = 1
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patience = 1600
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max_epochs = 0
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max_steps = 100
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eval_frequency = 10
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frozen_components = []
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annotating_components = []
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before_to_disk = null
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before_update = null
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[training.batcher]
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@batchers = "spacy.batch_by_words.v1"
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discard_oversize = false
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tolerance = 0.2
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get_length = null
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[training.batcher.size]
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@schedules = "compounding.v1"
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start = 100
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stop = 1000
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compound = 1.001
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t = 0.0
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[training.logger]
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@loggers = "spacy.ConsoleLogger.v1"
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progress_bar = false
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[training.optimizer]
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@optimizers = "Adam.v1"
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beta1 = 0.9
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beta2 = 0.999
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L2_is_weight_decay = true
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L2 = 0.01
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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 = 0.001
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[training.score_weights]
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ents_f = 1.0
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ents_p = 0.0
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ents_r = 0.0
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ents_per_type = null
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[pretraining]
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[initialize]
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vectors = ${paths.vectors}
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init_tok2vec = ${paths.init_tok2vec}
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vocab_data = null
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lookups = null
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before_init = null
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after_init = null
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[initialize.components]
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[initialize.tokenizer]
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en_pipeline-any-py3-none-any.whl
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version https://git-lfs.github.com/spec/v1
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oid sha256:2dbecbf127fb5026a377ddc37cf7e0c45eb6134c123968bf0821476871384421
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size 5665409
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meta.json
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{
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"lang":"en",
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"name":"pipeline",
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"version":"0.0.0",
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"description":"",
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"author":"",
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"email":"",
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"url":"",
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"license":"",
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"spacy_version":">=3.5.1,<3.6.0",
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"spacy_git_version":"Unknown",
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"vectors":{
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"width":0,
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"vectors":0,
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"keys":0,
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"name":null
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},
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"labels":{
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"tok2vec":[
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],
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"ner":[
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"DURATION",
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"LOC",
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"MISC",
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"MONEY",
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"ORG",
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"PER",
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"REASON"
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]
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},
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"pipeline":[
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"tok2vec",
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"ner"
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],
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"components":[
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"tok2vec",
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"ner"
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],
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"disabled":[
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],
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"performance":{
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"ents_f":0.8833746898,
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"ents_p":0.898989899,
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"ents_r":0.8682926829,
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"ents_per_type":{
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"MISC":{
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"p":0.7083333333,
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"r":0.6538461538,
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"f":0.68
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},
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"PER":{
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"p":0.9705882353,
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"r":0.8461538462,
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"f":0.904109589
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},
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"DURATION":{
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"p":0.95,
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"r":0.95,
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"f":0.95
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},
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"ORG":{
|
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"p":0.85,
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"r":0.85,
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"f":0.85
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},
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"LOC":{
|
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"p":1.0,
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"r":1.0,
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"f":1.0
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},
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"MONEY":{
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"p":1.0,
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"r":1.0,
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"f":1.0
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},
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"REASON":{
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"p":0.65,
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"r":0.65,
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"f":0.65
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}
|
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},
|
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"tok2vec_loss":3.2283668593,
|
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"ner_loss":45.4154987173
|
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},
|
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"requirements":[
|
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|
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]
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}
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ner/cfg
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{
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"moves":null,
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"update_with_oracle_cut_size":100,
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"multitasks":[
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],
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"min_action_freq":1,
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"learn_tokens":false,
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"beam_width":1,
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"beam_density":0.0,
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"beam_update_prob":0.0,
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"incorrect_spans_key":null
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}
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ner/model
ADDED
Binary file (134 kB). View file
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ner/moves
ADDED
@@ -0,0 +1 @@
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1 |
+
��moves�`{"0":{},"1":{"DURATION":147,"MONEY":140,"MISC":81,"ORG":70,"PER":68,"REASON":62,"LOC":49},"2":{"DURATION":147,"MONEY":140,"MISC":81,"ORG":70,"PER":68,"REASON":62,"LOC":49},"3":{"DURATION":147,"MONEY":140,"MISC":81,"ORG":70,"PER":68,"REASON":62,"LOC":49},"4":{"DURATION":147,"MONEY":140,"MISC":81,"ORG":70,"PER":68,"REASON":62,"LOC":49,"":1},"5":{"":1}}�cfg��neg_key�
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tok2vec/cfg
ADDED
@@ -0,0 +1,3 @@
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+
{
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2 |
+
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3 |
+
}
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tok2vec/model
ADDED
@@ -0,0 +1,3 @@
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1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
+
oid sha256:5b4e883a24ac0b2916efeb41a71744c1538d671a6bdd0113296e66e4ea396259
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3 |
+
size 6009091
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tokenizer
ADDED
@@ -0,0 +1,3 @@
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1 |
+
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[
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|
426 |
+
"Bros.",
|
427 |
+
"C",
|
428 |
+
"C'm",
|
429 |
+
"C++",
|
430 |
+
"C.",
|
431 |
+
"CAL",
|
432 |
+
"Ca",
|
433 |
+
"Calif",
|
434 |
+
"Calif.",
|
435 |
+
"California",
|
436 |
+
"Can",
|
437 |
+
"Cause",
|
438 |
+
"Chicago",
|
439 |
+
"Christian",
|
440 |
+
"Christiansen",
|
441 |
+
"Co",
|
442 |
+
"Co.",
|
443 |
+
"Cole",
|
444 |
+
"Colo",
|
445 |
+
"Colo.",
|
446 |
+
"Colorado",
|
447 |
+
"Columbus",
|
448 |
+
"Conn",
|
449 |
+
"Conn.",
|
450 |
+
"Connecticut",
|
451 |
+
"Corp",
|
452 |
+
"Corp.",
|
453 |
+
"Corporation",
|
454 |
+
"Cos",
|
455 |
+
"Could",
|
456 |
+
"Coz",
|
457 |
+
"Cuz",
|
458 |
+
"C\u2019m",
|
459 |
+
"D",
|
460 |
+
"D.",
|
461 |
+
"D.C.",
|
462 |
+
"DEBTCONSOLIDATION",
|
463 |
+
"DGC",
|
464 |
+
"DURATION",
|
465 |
+
"Daniel",
|
466 |
+
"Dare",
|
467 |
+
"Dayton",
|
468 |
+
"Dear",
|
469 |
+
"Dec",
|
470 |
+
"Dec.",
|
471 |
+
"December",
|
472 |
+
"Del",
|
473 |
+
"Del.",
|
474 |
+
"Delaware",
|
475 |
+
"Delhi",
|
476 |
+
"Des",
|
477 |
+
"Dickens",
|
478 |
+
"Did",
|
479 |
+
"Do",
|
480 |
+
"Does",
|
481 |
+
"Doin",
|
482 |
+
"Doin'",
|
483 |
+
"Doin\u2019",
|
484 |
+
"Donnelly",
|
485 |
+
"Dr",
|
486 |
+
"Dr.",
|
487 |
+
"E",
|
488 |
+
"E.G.",
|
489 |
+
"E.I",
|
490 |
+
"E.g",
|
491 |
+
"E.g.",
|
492 |
+
"EDUCATION",
|
493 |
+
"ENT",
|
494 |
+
"Elpida",
|
495 |
+
"Escondido",
|
496 |
+
"Eugene",
|
497 |
+
"Everett",
|
498 |
+
"F",
|
499 |
+
"F.",
|
500 |
+
"Falls",
|
501 |
+
"Feb",
|
502 |
+
"Feb.",
|
503 |
+
"February",
|
504 |
+
"Fla",
|
505 |
+
"Fla.",
|
506 |
+
"Florida",
|
507 |
+
"For",
|
508 |
+
"Frankfurt",
|
509 |
+
"Fresno",
|
510 |
+
"G",
|
511 |
+
"Ga",
|
512 |
+
"Ga.",
|
513 |
+
"Gainesville",
|
514 |
+
"Garden",
|
515 |
+
"Gen",
|
516 |
+
"Gen.",
|
517 |
+
"George",
|
518 |
+
"Georgia",
|
519 |
+
"Gleichner",
|
520 |
+
"Goin",
|
521 |
+
"Goin'",
|
522 |
+
"Goin\u2019",
|
523 |
+
"Gon",
|
524 |
+
"Goodwin",
|
525 |
+
"Got",
|
526 |
+
"Gov",
|
527 |
+
"Gov.",
|
528 |
+
"Grove",
|
529 |
+
"H",
|
530 |
+
"HER",
|
531 |
+
"Had",
|
532 |
+
"Has",
|
533 |
+
"Have",
|
534 |
+
"Havin",
|
535 |
+
"Havin'",
|
536 |
+
"Havin\u2019",
|
537 |
+
"He",
|
538 |
+
"He's",
|
539 |
+
"Hello",
|
540 |
+
"Henry",
|
541 |
+
"Herman",
|
542 |
+
"He\u2019s",
|
543 |
+
"Hi",
|
544 |
+
"Hialeah",
|
545 |
+
"Hills",
|
546 |
+
"How",
|
547 |
+
"How's",
|
548 |
+
"How\u2019s",
|
549 |
+
"Hudson",
|
550 |
+
"Huntington",
|
551 |
+
"I",
|
552 |
+
"I'm",
|
553 |
+
"I.E.",
|
554 |
+
"I.e",
|
555 |
+
"I.e.",
|
556 |
+
"IBM",
|
557 |
+
"ION",
|
558 |
+
"ISC",
|
559 |
+
"Ia",
|
560 |
+
"Ia.",
|
561 |
+
"Id",
|
562 |
+
"Id.",
|
563 |
+
"Idaho",
|
564 |
+
"Ill",
|
565 |
+
"Ill.",
|
566 |
+
"Illinois",
|
567 |
+
"Inc",
|
568 |
+
"Inc.",
|
569 |
+
"Ind",
|
570 |
+
"Ind.",
|
571 |
+
"Independence",
|
572 |
+
"Indiana",
|
573 |
+
"Infotec",
|
574 |
+
"Iowa",
|
575 |
+
"Is",
|
576 |
+
"It",
|
577 |
+
"It's",
|
578 |
+
"It\u2019s",
|
579 |
+
"J",
|
580 |
+
"Jackson",
|
581 |
+
"Jacob",
|
582 |
+
"Jan",
|
583 |
+
"Jan.",
|
584 |
+
"January",
|
585 |
+
"John",
|
586 |
+
"Jose",
|
587 |
+
"Jr",
|
588 |
+
"Jr.",
|
589 |
+
"Jul",
|
590 |
+
"Jul.",
|
591 |
+
"July",
|
592 |
+
"Jun",
|
593 |
+
"Jun.",
|
594 |
+
"June",
|
595 |
+
"K",
|
596 |
+
"K.",
|
597 |
+
"Kan",
|
598 |
+
"Kan.",
|
599 |
+
"Kans",
|
600 |
+
"Kans.",
|
601 |
+
"Kansas",
|
602 |
+
"Kent",
|
603 |
+
"Kentucky",
|
604 |
+
"Kevin",
|
605 |
+
"Killeen",
|
606 |
+
"Kling",
|
607 |
+
"Koch",
|
608 |
+
"Koelpin",
|
609 |
+
"Ky",
|
610 |
+
"Ky.",
|
611 |
+
"L",
|
612 |
+
"LLC",
|
613 |
+
"La",
|
614 |
+
"La.",
|
615 |
+
"Leffler",
|
616 |
+
"Lender",
|
617 |
+
"Lenders",
|
618 |
+
"Let",
|
619 |
+
"Let's",
|
620 |
+
"Let\u2019s",
|
621 |
+
"Levi",
|
622 |
+
"Liam",
|
623 |
+
"Limited",
|
624 |
+
"Little",
|
625 |
+
"Loan",
|
626 |
+
"London",
|
627 |
+
"Long",
|
628 |
+
"Louisiana",
|
629 |
+
"Lovin",
|
630 |
+
"Lovin'",
|
631 |
+
"Lovin\u2019",
|
632 |
+
"Ltd",
|
633 |
+
"Ltd.",
|
634 |
+
"Lubbock",
|
635 |
+
"M",
|
636 |
+
"MEDICAL",
|
637 |
+
"MISC",
|
638 |
+
"MORTGAGE",
|
639 |
+
"MORTGAGE.I",
|
640 |
+
"Ma'am",
|
641 |
+
"MacGyver",
|
642 |
+
"Macon",
|
643 |
+
"Madam",
|
644 |
+
"Mar",
|
645 |
+
"Mar.",
|
646 |
+
"March",
|
647 |
+
"Maria",
|
648 |
+
"Marks",
|
649 |
+
"Mass",
|
650 |
+
"Mass.",
|
651 |
+
"Massachusetts",
|
652 |
+
"Mateo",
|
653 |
+
"Matt",
|
654 |
+
"May",
|
655 |
+
"Ma\u2019am",
|
656 |
+
"McKenzie",
|
657 |
+
"Md",
|
658 |
+
"Md.",
|
659 |
+
"Messrs",
|
660 |
+
"Messrs.",
|
661 |
+
"Mich",
|
662 |
+
"Mich.",
|
663 |
+
"Michael",
|
664 |
+
"Michigan",
|
665 |
+
"Midland",
|
666 |
+
"Might",
|
667 |
+
"Miller",
|
668 |
+
"Minn",
|
669 |
+
"Minn.",
|
670 |
+
"Minnesota",
|
671 |
+
"Miss",
|
672 |
+
"Miss.",
|
673 |
+
"Mississippi",
|
674 |
+
"Mo",
|
675 |
+
"Mo.",
|
676 |
+
"Moen",
|
677 |
+
"Mohr",
|
678 |
+
"Moines",
|
679 |
+
"Mont",
|
680 |
+
"Mont.",
|
681 |
+
"Morissette",
|
682 |
+
"Mount",
|
683 |
+
"Mr",
|
684 |
+
"Mr.",
|
685 |
+
"Mrs",
|
686 |
+
"Mrs.",
|
687 |
+
"Ms",
|
688 |
+
"Ms.",
|
689 |
+
"Mt",
|
690 |
+
"Mt.",
|
691 |
+
"Must",
|
692 |
+
"My",
|
693 |
+
"N",
|
694 |
+
"N.C.",
|
695 |
+
"N.D.",
|
696 |
+
"N.H.",
|
697 |
+
"N.J.",
|
698 |
+
"N.M.",
|
699 |
+
"N.Y.",
|
700 |
+
"NAL",
|
701 |
+
"NEY",
|
702 |
+
"Neb",
|
703 |
+
"Neb.",
|
704 |
+
"Nebr",
|
705 |
+
"Nebr.",
|
706 |
+
"Nebraska",
|
707 |
+
"Need",
|
708 |
+
"Nev",
|
709 |
+
"Nev.",
|
710 |
+
"Nevada",
|
711 |
+
"New",
|
712 |
+
"New Hampshire",
|
713 |
+
"New Jersey",
|
714 |
+
"New Mexico",
|
715 |
+
"New York",
|
716 |
+
"Newport",
|
717 |
+
"News",
|
718 |
+
"Noah",
|
719 |
+
"Nolan",
|
720 |
+
"North Carolina",
|
721 |
+
"North Dakota",
|
722 |
+
"Not",
|
723 |
+
"Nothin",
|
724 |
+
"Nothin'",
|
725 |
+
"Nothin\u2019",
|
726 |
+
"Nov",
|
727 |
+
"Nov.",
|
728 |
+
"November",
|
729 |
+
"Nuthin",
|
730 |
+
"Nuthin'",
|
731 |
+
"Nuthin\u2019",
|
732 |
+
"O",
|
733 |
+
"O'clock",
|
734 |
+
"O.O",
|
735 |
+
"O.o",
|
736 |
+
"OTHER",
|
737 |
+
"O_O",
|
738 |
+
"O_o",
|
739 |
+
"Oct",
|
740 |
+
"Oct.",
|
741 |
+
"October",
|
742 |
+
"Odessa",
|
743 |
+
"Officer",
|
744 |
+
"Okla",
|
745 |
+
"Okla.",
|
746 |
+
"Oklahoma",
|
747 |
+
"Ol",
|
748 |
+
"Ol'",
|
749 |
+
"Oliver",
|
750 |
+
"Ol\u2019",
|
751 |
+
"Ore",
|
752 |
+
"Ore.",
|
753 |
+
"Oregon",
|
754 |
+
"Ought",
|
755 |
+
"O\u2019clock",
|
756 |
+
"P",
|
757 |
+
"PER",
|
758 |
+
"PERSONAL",
|
759 |
+
"Pa",
|
760 |
+
"Pa.",
|
761 |
+
"Pennsylvania",
|
762 |
+
"Peoria",
|
763 |
+
"Ph",
|
764 |
+
"Ph.D.",
|
765 |
+
"Pomona",
|
766 |
+
"Portland",
|
767 |
+
"Poughkeepsie",
|
768 |
+
"Private",
|
769 |
+
"Prof",
|
770 |
+
"Prof.",
|
771 |
+
"Provider",
|
772 |
+
"Purvi",
|
773 |
+
"R",
|
774 |
+
"REASON",
|
775 |
+
"RENT",
|
776 |
+
"RFC",
|
777 |
+
"ROOT",
|
778 |
+
"Rath",
|
779 |
+
"Redhat",
|
780 |
+
"Reichert",
|
781 |
+
"Rep",
|
782 |
+
"Rep.",
|
783 |
+
"Rev",
|
784 |
+
"Rev.",
|
785 |
+
"Rippin",
|
786 |
+
"Robel",
|
787 |
+
"Rock",
|
788 |
+
"Rohan",
|
789 |
+
"Rowe",
|
790 |
+
"Runte",
|
791 |
+
"S",
|
792 |
+
"S.C.",
|
793 |
+
"SON",
|
794 |
+
"Salem",
|
795 |
+
"Sam",
|
796 |
+
"San",
|
797 |
+
"Santa",
|
798 |
+
"Schmidt",
|
799 |
+
"Sen",
|
800 |
+
"Sen.",
|
801 |
+
"Sep",
|
802 |
+
"Sep.",
|
803 |
+
"Sept",
|
804 |
+
"Sept.",
|
805 |
+
"September",
|
806 |
+
"Sha",
|
807 |
+
"She",
|
808 |
+
"She's",
|
809 |
+
"She\u2019s",
|
810 |
+
"Should",
|
811 |
+
"Shreyas",
|
812 |
+
"Simonis",
|
813 |
+
"Sincerely",
|
814 |
+
"Sioux",
|
815 |
+
"Sir",
|
816 |
+
"Somethin",
|
817 |
+
"Somethin'",
|
818 |
+
"Somethin\u2019",
|
819 |
+
"South Carolina",
|
820 |
+
"Sparks",
|
821 |
+
"Springfield",
|
822 |
+
"St",
|
823 |
+
"St.",
|
824 |
+
"Stoltenberg",
|
825 |
+
"Strosin",
|
826 |
+
"Suhas",
|
827 |
+
"Swift",
|
828 |
+
"Syracuse",
|
829 |
+
"T",
|
830 |
+
"Tenn",
|
831 |
+
"Tenn.",
|
832 |
+
"Tennessee",
|
833 |
+
"Terry",
|
834 |
+
"Thank",
|
835 |
+
"Thanks",
|
836 |
+
"That",
|
837 |
+
"That's",
|
838 |
+
"That\u2019s",
|
839 |
+
"There",
|
840 |
+
"There's",
|
841 |
+
"There\u2019s",
|
842 |
+
"These",
|
843 |
+
"They",
|
844 |
+
"This",
|
845 |
+
"This's",
|
846 |
+
"This\u2019s",
|
847 |
+
"Those",
|
848 |
+
"Toledo",
|
849 |
+
"Turner",
|
850 |
+
"URE",
|
851 |
+
"V",
|
852 |
+
"V.V",
|
853 |
+
"VENTURE",
|
854 |
+
"V_V",
|
855 |
+
"Va",
|
856 |
+
"Va.",
|
857 |
+
"Virginia",
|
858 |
+
"W",
|
859 |
+
"Was",
|
860 |
+
"Wash",
|
861 |
+
"Wash.",
|
862 |
+
"Washington",
|
863 |
+
"Watson",
|
864 |
+
"We",
|
865 |
+
"Wehner",
|
866 |
+
"Welch",
|
867 |
+
"Were",
|
868 |
+
"West",
|
869 |
+
"What",
|
870 |
+
"What's",
|
871 |
+
"What\u2019s",
|
872 |
+
"When",
|
873 |
+
"When's",
|
874 |
+
"When\u2019s",
|
875 |
+
"Where",
|
876 |
+
"Where's",
|
877 |
+
"Where\u2019s",
|
878 |
+
"Who",
|
879 |
+
"Who's",
|
880 |
+
"Who\u2019s",
|
881 |
+
"Why",
|
882 |
+
"Why's",
|
883 |
+
"Why\u2019s",
|
884 |
+
"Wilderman",
|
885 |
+
"Wilmington",
|
886 |
+
"Windler",
|
887 |
+
"Wis",
|
888 |
+
"Wis.",
|
889 |
+
"Wisconsin",
|
890 |
+
"Wo",
|
891 |
+
"Would",
|
892 |
+
"X'x",
|
893 |
+
"X'xxxx",
|
894 |
+
"X++",
|
895 |
+
"X.",
|
896 |
+
"X.X",
|
897 |
+
"X.X.",
|
898 |
+
"X.x",
|
899 |
+
"X.x.",
|
900 |
+
"XD",
|
901 |
+
"XDD",
|
902 |
+
"XX",
|
903 |
+
"XXX",
|
904 |
+
"XXXX",
|
905 |
+
"XXXX.X",
|
906 |
+
"X_X",
|
907 |
+
"X_x",
|
908 |
+
"Xx",
|
909 |
+
"Xx'",
|
910 |
+
"Xx'x",
|
911 |
+
"Xx'xx",
|
912 |
+
"Xx.",
|
913 |
+
"Xx.X.",
|
914 |
+
"XxXxxxx",
|
915 |
+
"Xxx",
|
916 |
+
"Xxx'x",
|
917 |
+
"Xxx.",
|
918 |
+
"XxxXxxxx",
|
919 |
+
"Xxxx",
|
920 |
+
"Xxxx'",
|
921 |
+
"Xxxx'x",
|
922 |
+
"Xxxx.",
|
923 |
+
"Xxxxx",
|
924 |
+
"Xxxxx'",
|
925 |
+
"Xxxxx'x",
|
926 |
+
"Xxxxx.",
|
927 |
+
"Xxxxx\u2019",
|
928 |
+
"Xxxxx\u2019x",
|
929 |
+
"Xxxx\u2019",
|
930 |
+
"Xxxx\u2019x",
|
931 |
+
"Xxx\u2019x",
|
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1601 |
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1917 |
+
"xx",
|
1918 |
+
"xx'",
|
1919 |
+
"xx'x",
|
1920 |
+
"xx'xx",
|
1921 |
+
"xx.",
|
1922 |
+
"xxx",
|
1923 |
+
"xxx'x",
|
1924 |
+
"xxx.",
|
1925 |
+
"xxx/xx",
|
1926 |
+
"xxxx",
|
1927 |
+
"xxxx'",
|
1928 |
+
"xxxx'x",
|
1929 |
+
"xxxx.x",
|
1930 |
+
"xxxx\u2019",
|
1931 |
+
"xxxx\u2019x",
|
1932 |
+
"xxx\u2019x",
|
1933 |
+
"xx\u2019",
|
1934 |
+
"xx\u2019x",
|
1935 |
+
"xx\u2019xx",
|
1936 |
+
"x\u2019",
|
1937 |
+
"x\u2019x",
|
1938 |
+
"x\u2019xxxx",
|
1939 |
+
"x\ufe35x",
|
1940 |
+
"y",
|
1941 |
+
"y'",
|
1942 |
+
"y's",
|
1943 |
+
"y.",
|
1944 |
+
"yas",
|
1945 |
+
"year",
|
1946 |
+
"yearly",
|
1947 |
+
"years",
|
1948 |
+
"yed",
|
1949 |
+
"yer",
|
1950 |
+
"york",
|
1951 |
+
"you",
|
1952 |
+
"your",
|
1953 |
+
"y\u2019",
|
1954 |
+
"y\u2019s",
|
1955 |
+
"z",
|
1956 |
+
"z.",
|
1957 |
+
"zie",
|
1958 |
+
"|",
|
1959 |
+
"}",
|
1960 |
+
"\u00a0",
|
1961 |
+
"\u00ac",
|
1962 |
+
"\u00ac_\u00ac",
|
1963 |
+
"\u00af",
|
1964 |
+
"\u00af\\(x)/\u00af",
|
1965 |
+
"\u00af\\(\u30c4)/\u00af",
|
1966 |
+
"\u00b0",
|
1967 |
+
"\u00b0C.",
|
1968 |
+
"\u00b0F.",
|
1969 |
+
"\u00b0K.",
|
1970 |
+
"\u00b0X.",
|
1971 |
+
"\u00b0c.",
|
1972 |
+
"\u00b0f.",
|
1973 |
+
"\u00b0k.",
|
1974 |
+
"\u00b0x.",
|
1975 |
+
"\u00e4",
|
1976 |
+
"\u00e4.",
|
1977 |
+
"\u00f6",
|
1978 |
+
"\u00f6.",
|
1979 |
+
"\u00fc",
|
1980 |
+
"\u00fc.",
|
1981 |
+
"\u0ca0",
|
1982 |
+
"\u0ca0_\u0ca0",
|
1983 |
+
"\u0ca0\ufe35\u0ca0",
|
1984 |
+
"\u2014",
|
1985 |
+
"\u2018",
|
1986 |
+
"\u2018S",
|
1987 |
+
"\u2018X",
|
1988 |
+
"\u2018s",
|
1989 |
+
"\u2018x",
|
1990 |
+
"\u2019",
|
1991 |
+
"\u2019-(",
|
1992 |
+
"\u2019-)",
|
1993 |
+
"\u2019Cause",
|
1994 |
+
"\u2019Cos",
|
1995 |
+
"\u2019Coz",
|
1996 |
+
"\u2019Cuz",
|
1997 |
+
"\u2019S",
|
1998 |
+
"\u2019X",
|
1999 |
+
"\u2019Xxx",
|
2000 |
+
"\u2019Xxxxx",
|
2001 |
+
"\u2019am",
|
2002 |
+
"\u2019bout",
|
2003 |
+
"\u2019cause",
|
2004 |
+
"\u2019cos",
|
2005 |
+
"\u2019coz",
|
2006 |
+
"\u2019cuz",
|
2007 |
+
"\u2019d",
|
2008 |
+
"\u2019em",
|
2009 |
+
"\u2019ll",
|
2010 |
+
"\u2019m",
|
2011 |
+
"\u2019nuff",
|
2012 |
+
"\u2019re",
|
2013 |
+
"\u2019s",
|
2014 |
+
"\u2019ve",
|
2015 |
+
"\u2019x",
|
2016 |
+
"\u2019xx",
|
2017 |
+
"\u2019xxx",
|
2018 |
+
"\u2019xxxx",
|
2019 |
+
"\u2019y",
|
2020 |
+
"\u2019\u2019",
|
2021 |
+
"\u2501",
|
2022 |
+
"\u253b",
|
2023 |
+
"\u253b\u2501\u253b",
|
2024 |
+
"\u256f",
|
2025 |
+
"\u25a1",
|
2026 |
+
"\ufe35",
|
2027 |
+
"\uff09"
|
2028 |
+
]
|
vocab/vectors
ADDED
Binary file (128 Bytes). View file
|
|
vocab/vectors.cfg
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"mode":"default"
|
3 |
+
}
|