Priyanka-Balivada
commited on
Commit
•
0e3fea1
1
Parent(s):
9e6685f
Update spaCy pipeline
Browse files- .gitattributes +2 -0
- README.md +56 -0
- config.cfg +147 -0
- en_Product_Catalog-any-py3-none-any.whl +3 -0
- meta.json +89 -0
- ner/cfg +13 -0
- ner/model +0 -0
- ner/moves +1 -0
- tokenizer +3 -0
- transformer/cfg +3 -0
- transformer/model +3 -0
- vocab/key2row +1 -0
- vocab/lookups.bin +3 -0
- vocab/strings.json +1657 -0
- vocab/vectors +0 -0
- vocab/vectors.cfg +3 -0
.gitattributes
CHANGED
@@ -33,3 +33,5 @@ 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_Product_Catalog-any-py3-none-any.whl filter=lfs diff=lfs merge=lfs -text
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transformer/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_Product_Catalog
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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: 0.1791044776
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- name: NER Recall
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type: recall
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value: 0.3333333333
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- name: NER F Score
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type: f_score
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value: 0.2330097087
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---
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| Feature | Description |
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| --- | --- |
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| **Name** | `en_Product_Catalog` |
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| **Version** | `0.0.0` |
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| **spaCy** | `>=3.7.4,<3.8.0` |
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| **Default Pipeline** | `transformer`, `ner` |
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| **Components** | `transformer`, `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 (6 labels for 1 components)</summary>
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| Component | Labels |
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| --- | --- |
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| **`ner`** | `Lubricant`, `Metering`, `Operating`, `PAGE`, `Product`, `Reservoir` |
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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` | 23.30 |
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| `ENTS_P` | 17.91 |
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| `ENTS_R` | 33.33 |
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| `TRANSFORMER_LOSS` | 9550392.37 |
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| `NER_LOSS` | 2471774.14 |
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config.cfg
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[paths]
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train = "./drive/MyDrive/Product IBM/train.spacy"
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dev = "./drive/MyDrive/Product IBM/test.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 = "pytorch"
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seed = 0
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[nlp]
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lang = "en"
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pipeline = ["transformer","ner"]
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batch_size = 128
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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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vectors = {"@vectors":"spacy.Vectors.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 = false
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nO = null
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[components.ner.model.tok2vec]
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@architectures = "spacy-transformers.TransformerListener.v1"
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grad_factor = 1.0
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pooling = {"@layers":"reduce_mean.v1"}
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upstream = "*"
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[components.transformer]
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factory = "transformer"
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max_batch_items = 4096
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set_extra_annotations = {"@annotation_setters":"spacy-transformers.null_annotation_setter.v1"}
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[components.transformer.model]
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@architectures = "spacy-transformers.TransformerModel.v3"
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name = "roberta-base"
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mixed_precision = false
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[components.transformer.model.get_spans]
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@span_getters = "spacy-transformers.strided_spans.v1"
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window = 128
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stride = 96
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[components.transformer.model.grad_scaler_config]
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[components.transformer.model.tokenizer_config]
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use_fast = true
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[components.transformer.model.transformer_config]
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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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accumulate_gradient = 3
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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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patience = 1600
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max_epochs = 0
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max_steps = 2000
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eval_frequency = 200
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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_padded.v1"
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discard_oversize = true
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size = 2000
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buffer = 256
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get_length = null
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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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[training.optimizer.learn_rate]
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@schedules = "warmup_linear.v1"
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warmup_steps = 250
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total_steps = 1000
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initial_rate = 0.00005
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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_Product_Catalog-any-py3-none-any.whl
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version https://git-lfs.github.com/spec/v1
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oid sha256:2dfc30086b12283630b17f5fa4f9859e658ab058c10af3191f9c2b28990336b1
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size 421959211
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meta.json
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{
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"lang":"en",
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"name":"Product_Catalog",
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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":">=3.7.4,<3.8.0",
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"spacy_git_version":"bff8725f4",
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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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"transformer":[
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],
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"ner":[
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"Lubricant",
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"Metering",
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"Operating",
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"PAGE",
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"Product",
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"Reservoir"
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]
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},
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"pipeline":[
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"transformer",
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"ner"
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],
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"components":[
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"transformer",
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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":0.2330097087,
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"ents_p":0.1791044776,
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"ents_r":0.3333333333,
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"ents_per_type":{
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"Product":{
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"p":0.1176470588,
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"r":0.25,
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"f":0.16
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},
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"Metering":{
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"p":0.2380952381,
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"r":0.625,
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"f":0.3448275862
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},
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"Reservoir":{
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"p":0.0,
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"r":0.0,
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"f":0.0
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},
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"Operating":{
|
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"p":0.3076923077,
|
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"r":0.75,
|
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"f":0.4363636364
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},
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"Lubricant":{
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"p":0.0,
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"r":0.0,
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"f":0.0
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},
|
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"PAGE":{
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"p":0.0,
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"r":0.0,
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"f":0.0
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},
|
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"Page":{
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"p":0.0,
|
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"r":0.0,
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"f":0.0
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}
|
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},
|
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"transformer_loss":95503.9236874724,
|
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"ner_loss":24717.7414470388
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},
|
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"requirements":[
|
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"spacy-transformers>=1.3.4,<1.4.0"
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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 (239 kB). View file
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ner/moves
ADDED
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|
1 |
+
[
|
2 |
+
"\t",
|
3 |
+
"\n",
|
4 |
+
" ",
|
5 |
+
" ",
|
6 |
+
"\"",
|
7 |
+
"'",
|
8 |
+
"''",
|
9 |
+
"'-(",
|
10 |
+
"'-)",
|
11 |
+
"'Cause",
|
12 |
+
"'Cos",
|
13 |
+
"'Coz",
|
14 |
+
"'Cuz",
|
15 |
+
"'S",
|
16 |
+
"'X",
|
17 |
+
"'Xxx",
|
18 |
+
"'Xxxxx",
|
19 |
+
"'am",
|
20 |
+
"'bout",
|
21 |
+
"'cause",
|
22 |
+
"'cos",
|
23 |
+
"'coz",
|
24 |
+
"'cuz",
|
25 |
+
"'d",
|
26 |
+
"'em",
|
27 |
+
"'ll",
|
28 |
+
"'m",
|
29 |
+
"'nuff",
|
30 |
+
"'re",
|
31 |
+
"'s",
|
32 |
+
"'ve",
|
33 |
+
"'x",
|
34 |
+
"'xx",
|
35 |
+
"'xxx",
|
36 |
+
"'xxxx",
|
37 |
+
"'y",
|
38 |
+
"(",
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548 |
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"Bil",
|
549 |
+
"Bros",
|
550 |
+
"Bros.",
|
551 |
+
"C",
|
552 |
+
"C'm",
|
553 |
+
"C++",
|
554 |
+
"C.",
|
555 |
+
"Ca",
|
556 |
+
"Calif",
|
557 |
+
"Calif.",
|
558 |
+
"California",
|
559 |
+
"Can",
|
560 |
+
"Cause",
|
561 |
+
"Co",
|
562 |
+
"Co.",
|
563 |
+
"Colo",
|
564 |
+
"Colo.",
|
565 |
+
"Colorado",
|
566 |
+
"Conn",
|
567 |
+
"Conn.",
|
568 |
+
"Connecticut",
|
569 |
+
"Corp",
|
570 |
+
"Corp.",
|
571 |
+
"Cos",
|
572 |
+
"Could",
|
573 |
+
"Coz",
|
574 |
+
"Cuz",
|
575 |
+
"C\u2019m",
|
576 |
+
"D",
|
577 |
+
"D.",
|
578 |
+
"D.C.",
|
579 |
+
"Dare",
|
580 |
+
"Dec",
|
581 |
+
"Dec.",
|
582 |
+
"December",
|
583 |
+
"Del",
|
584 |
+
"Del.",
|
585 |
+
"Delaware",
|
586 |
+
"Did",
|
587 |
+
"Do",
|
588 |
+
"Does",
|
589 |
+
"Doin",
|
590 |
+
"Doin'",
|
591 |
+
"Doin\u2019",
|
592 |
+
"Dr",
|
593 |
+
"Dr.",
|
594 |
+
"E",
|
595 |
+
"E.G.",
|
596 |
+
"E.g",
|
597 |
+
"E.g.",
|
598 |
+
"ECP",
|
599 |
+
"F",
|
600 |
+
"F.",
|
601 |
+
"FAL",
|
602 |
+
"Feb",
|
603 |
+
"Feb.",
|
604 |
+
"February",
|
605 |
+
"Fla",
|
606 |
+
"Fla.",
|
607 |
+
"Florida",
|
608 |
+
"G",
|
609 |
+
"Ga",
|
610 |
+
"Ga.",
|
611 |
+
"Gen",
|
612 |
+
"Gen.",
|
613 |
+
"Georgia",
|
614 |
+
"Goin",
|
615 |
+
"Goin'",
|
616 |
+
"Goin\u2019",
|
617 |
+
"Gon",
|
618 |
+
"Got",
|
619 |
+
"Gov",
|
620 |
+
"Gov.",
|
621 |
+
"H",
|
622 |
+
"Had",
|
623 |
+
"Has",
|
624 |
+
"Have",
|
625 |
+
"Havin",
|
626 |
+
"Havin'",
|
627 |
+
"Havin\u2019",
|
628 |
+
"He",
|
629 |
+
"He's",
|
630 |
+
"He\u2019s",
|
631 |
+
"How",
|
632 |
+
"How's",
|
633 |
+
"How\u2019s",
|
634 |
+
"I",
|
635 |
+
"I.E.",
|
636 |
+
"I.e",
|
637 |
+
"I.e.",
|
638 |
+
"Ia",
|
639 |
+
"Ia.",
|
640 |
+
"Id",
|
641 |
+
"Id.",
|
642 |
+
"Idaho",
|
643 |
+
"Ill",
|
644 |
+
"Ill.",
|
645 |
+
"Illinois",
|
646 |
+
"Inc",
|
647 |
+
"Inc.",
|
648 |
+
"Ind",
|
649 |
+
"Ind.",
|
650 |
+
"Indiana",
|
651 |
+
"Iowa",
|
652 |
+
"Is",
|
653 |
+
"It",
|
654 |
+
"It's",
|
655 |
+
"It\u2019s",
|
656 |
+
"J",
|
657 |
+
"Jan",
|
658 |
+
"Jan.",
|
659 |
+
"January",
|
660 |
+
"Jr",
|
661 |
+
"Jr.",
|
662 |
+
"Jul",
|
663 |
+
"Jul.",
|
664 |
+
"July",
|
665 |
+
"Jun",
|
666 |
+
"Jun.",
|
667 |
+
"June",
|
668 |
+
"K",
|
669 |
+
"K.",
|
670 |
+
"KFU",
|
671 |
+
"Kan",
|
672 |
+
"Kan.",
|
673 |
+
"Kans",
|
674 |
+
"Kans.",
|
675 |
+
"Kansas",
|
676 |
+
"Kentucky",
|
677 |
+
"Ky",
|
678 |
+
"Ky.",
|
679 |
+
"L",
|
680 |
+
"L-1",
|
681 |
+
"LG",
|
682 |
+
"LG-doser",
|
683 |
+
"La",
|
684 |
+
"La.",
|
685 |
+
"Let",
|
686 |
+
"Let's",
|
687 |
+
"Let\u2019s",
|
688 |
+
"Louisiana",
|
689 |
+
"Lovin",
|
690 |
+
"Lovin'",
|
691 |
+
"Lovin\u2019",
|
692 |
+
"Ltd",
|
693 |
+
"Ltd.",
|
694 |
+
"Lubricant",
|
695 |
+
"M",
|
696 |
+
"MCP",
|
697 |
+
"MFE",
|
698 |
+
"MKF",
|
699 |
+
"MKU",
|
700 |
+
"Ma'am",
|
701 |
+
"Mar",
|
702 |
+
"Mar.",
|
703 |
+
"March",
|
704 |
+
"Mass",
|
705 |
+
"Mass.",
|
706 |
+
"Massachusetts",
|
707 |
+
"May",
|
708 |
+
"Ma\u2019am",
|
709 |
+
"Md",
|
710 |
+
"Md.",
|
711 |
+
"Messrs",
|
712 |
+
"Messrs.",
|
713 |
+
"Metering",
|
714 |
+
"Mich",
|
715 |
+
"Mich.",
|
716 |
+
"Michigan",
|
717 |
+
"Might",
|
718 |
+
"Minn",
|
719 |
+
"Minn.",
|
720 |
+
"Minnesota",
|
721 |
+
"Miss",
|
722 |
+
"Miss.",
|
723 |
+
"Mississippi",
|
724 |
+
"Mo",
|
725 |
+
"Mo.",
|
726 |
+
"Mont",
|
727 |
+
"Mont.",
|
728 |
+
"Mount",
|
729 |
+
"Mr",
|
730 |
+
"Mr.",
|
731 |
+
"Mrs",
|
732 |
+
"Mrs.",
|
733 |
+
"Ms",
|
734 |
+
"Ms.",
|
735 |
+
"Mt",
|
736 |
+
"Mt.",
|
737 |
+
"Must",
|
738 |
+
"N",
|
739 |
+
"N.C.",
|
740 |
+
"N.D.",
|
741 |
+
"N.H.",
|
742 |
+
"N.J.",
|
743 |
+
"N.M.",
|
744 |
+
"N.Y.",
|
745 |
+
"Neb",
|
746 |
+
"Neb.",
|
747 |
+
"Nebr",
|
748 |
+
"Nebr.",
|
749 |
+
"Nebraska",
|
750 |
+
"Need",
|
751 |
+
"Nev",
|
752 |
+
"Nev.",
|
753 |
+
"Nevada",
|
754 |
+
"New Hampshire",
|
755 |
+
"New Jersey",
|
756 |
+
"New Mexico",
|
757 |
+
"New York",
|
758 |
+
"North Carolina",
|
759 |
+
"North Dakota",
|
760 |
+
"Not",
|
761 |
+
"Nothin",
|
762 |
+
"Nothin'",
|
763 |
+
"Nothin\u2019",
|
764 |
+
"Nov",
|
765 |
+
"Nov.",
|
766 |
+
"November",
|
767 |
+
"Nuthin",
|
768 |
+
"Nuthin'",
|
769 |
+
"Nuthin\u2019",
|
770 |
+
"O",
|
771 |
+
"O'clock",
|
772 |
+
"O.O",
|
773 |
+
"O.o",
|
774 |
+
"O_O",
|
775 |
+
"O_o",
|
776 |
+
"Oct",
|
777 |
+
"Oct.",
|
778 |
+
"October",
|
779 |
+
"Okla",
|
780 |
+
"Okla.",
|
781 |
+
"Oklahoma",
|
782 |
+
"Ol",
|
783 |
+
"Ol'",
|
784 |
+
"Ol\u2019",
|
785 |
+
"Operating",
|
786 |
+
"Ore",
|
787 |
+
"Ore.",
|
788 |
+
"Oregon",
|
789 |
+
"Ought",
|
790 |
+
"O\u2019clock",
|
791 |
+
"P",
|
792 |
+
"P-846",
|
793 |
+
"P-846-2",
|
794 |
+
"P-886",
|
795 |
+
"P653S",
|
796 |
+
"PAGE",
|
797 |
+
"PF",
|
798 |
+
"PFW-289",
|
799 |
+
"PPS30",
|
800 |
+
"PW",
|
801 |
+
"Pa",
|
802 |
+
"Pa.",
|
803 |
+
"Page",
|
804 |
+
"Pal",
|
805 |
+
"Pennsylvania",
|
806 |
+
"Ph",
|
807 |
+
"Ph.D.",
|
808 |
+
"Product",
|
809 |
+
"Prof",
|
810 |
+
"Prof.",
|
811 |
+
"R",
|
812 |
+
"ROOT",
|
813 |
+
"Rep",
|
814 |
+
"Rep.",
|
815 |
+
"Reservoir",
|
816 |
+
"Rev",
|
817 |
+
"Rev.",
|
818 |
+
"S",
|
819 |
+
"S.C.",
|
820 |
+
"S30",
|
821 |
+
"SL-1",
|
822 |
+
"SL-32",
|
823 |
+
"SL-32HV",
|
824 |
+
"SL-33",
|
825 |
+
"Sen",
|
826 |
+
"Sen.",
|
827 |
+
"Sep",
|
828 |
+
"Sep.",
|
829 |
+
"Sept",
|
830 |
+
"Sept.",
|
831 |
+
"September",
|
832 |
+
"Sha",
|
833 |
+
"She",
|
834 |
+
"She's",
|
835 |
+
"She\u2019s",
|
836 |
+
"Should",
|
837 |
+
"Somethin",
|
838 |
+
"Somethin'",
|
839 |
+
"Somethin\u2019",
|
840 |
+
"South Carolina",
|
841 |
+
"St",
|
842 |
+
"St.",
|
843 |
+
"Syall",
|
844 |
+
"T",
|
845 |
+
"Tenn",
|
846 |
+
"Tenn.",
|
847 |
+
"Tennessee",
|
848 |
+
"That",
|
849 |
+
"That's",
|
850 |
+
"That\u2019s",
|
851 |
+
"There",
|
852 |
+
"There's",
|
853 |
+
"There\u2019s",
|
854 |
+
"These",
|
855 |
+
"They",
|
856 |
+
"This",
|
857 |
+
"This's",
|
858 |
+
"This\u2019s",
|
859 |
+
"Those",
|
860 |
+
"V",
|
861 |
+
"V.V",
|
862 |
+
"VR",
|
863 |
+
"V_V",
|
864 |
+
"Va",
|
865 |
+
"Va.",
|
866 |
+
"Ve",
|
867 |
+
"Virginia",
|
868 |
+
"W",
|
869 |
+
"Was",
|
870 |
+
"Wash",
|
871 |
+
"Wash.",
|
872 |
+
"Washington",
|
873 |
+
"We",
|
874 |
+
"Were",
|
875 |
+
"What",
|
876 |
+
"What's",
|
877 |
+
"What\u2019s",
|
878 |
+
"When",
|
879 |
+
"When's",
|
880 |
+
"When\u2019s",
|
881 |
+
"Where",
|
882 |
+
"Where's",
|
883 |
+
"Where\u2019s",
|
884 |
+
"Who",
|
885 |
+
"Who's",
|
886 |
+
"Who\u2019s",
|
887 |
+
"Why",
|
888 |
+
"Why's",
|
889 |
+
"Why\u2019s",
|
890 |
+
"Wis",
|
891 |
+
"Wis.",
|
892 |
+
"Wisconsin",
|
893 |
+
"Wo",
|
894 |
+
"Would",
|
895 |
+
"X'x",
|
896 |
+
"X'xxxx",
|
897 |
+
"X++",
|
898 |
+
"X-ddd",
|
899 |
+
"X-ddd-d",
|
900 |
+
"X-xxxx",
|
901 |
+
"X.",
|
902 |
+
"X.X",
|
903 |
+
"X.X.",
|
904 |
+
"X.x",
|
905 |
+
"X.x.",
|
906 |
+
"XD",
|
907 |
+
"XDD",
|
908 |
+
"XX",
|
909 |
+
"XX-d",
|
910 |
+
"XX-dd",
|
911 |
+
"XX-ddXX",
|
912 |
+
"XX-xxxx",
|
913 |
+
"XXX",
|
914 |
+
"XXX-ddd",
|
915 |
+
"XXXX",
|
916 |
+
"XXXdd",
|
917 |
+
"XXx",
|
918 |
+
"X_X",
|
919 |
+
"X_x",
|
920 |
+
"XdddX",
|
921 |
+
"Xx",
|
922 |
+
"Xx'",
|
923 |
+
"Xx'x",
|
924 |
+
"Xx'xx",
|
925 |
+
"Xx.",
|
926 |
+
"Xx.X.",
|
927 |
+
"Xxx",
|
928 |
+
"Xxx'x",
|
929 |
+
"Xxx.",
|
930 |
+
"Xxxx",
|
931 |
+
"Xxxx'",
|
932 |
+
"Xxxx'x",
|
933 |
+
"Xxxx.",
|
934 |
+
"Xxxxx",
|
935 |
+
"Xxxxx'",
|
936 |
+
"Xxxxx'x",
|
937 |
+
"Xxxxx.",
|
938 |
+
"Xxxxx\u2019",
|
939 |
+
"Xxxxx\u2019x",
|
940 |
+
"Xxxx\u2019",
|
941 |
+
"Xxxx\u2019x",
|
942 |
+
"Xxx\u2019x",
|
943 |
+
"Xx\u2019",
|
944 |
+
"Xx\u2019x",
|
945 |
+
"Xx\u2019xx",
|
946 |
+
"X\u2019x",
|
947 |
+
"X\u2019xxxx",
|
948 |
+
"Y",
|
949 |
+
"You",
|
950 |
+
"Z",
|
951 |
+
"ZAl",
|
952 |
+
"[",
|
953 |
+
"[-:",
|
954 |
+
"[:",
|
955 |
+
"[=",
|
956 |
+
"\\",
|
957 |
+
"\\\")",
|
958 |
+
"\\n",
|
959 |
+
"\\t",
|
960 |
+
"\\x",
|
961 |
+
"]",
|
962 |
+
"]=",
|
963 |
+
"^",
|
964 |
+
"^_^",
|
965 |
+
"^__^",
|
966 |
+
"^___^",
|
967 |
+
"_*)",
|
968 |
+
"_-)",
|
969 |
+
"_.)",
|
970 |
+
"_<)",
|
971 |
+
"_^)",
|
972 |
+
"__-",
|
973 |
+
"__^",
|
974 |
+
"_\u00ac)",
|
975 |
+
"_\u0ca0)",
|
976 |
+
"a",
|
977 |
+
"a.",
|
978 |
+
"a.m",
|
979 |
+
"a.m.",
|
980 |
+
"about",
|
981 |
+
"ace",
|
982 |
+
"acp",
|
983 |
+
"adjustable",
|
984 |
+
"adm",
|
985 |
+
"adm.",
|
986 |
+
"age",
|
987 |
+
"ai",
|
988 |
+
"ak",
|
989 |
+
"ak.",
|
990 |
+
"ala",
|
991 |
+
"ala.",
|
992 |
+
"all",
|
993 |
+
"am",
|
994 |
+
"an.",
|
995 |
+
"and",
|
996 |
+
"and/or",
|
997 |
+
"ans",
|
998 |
+
"ant",
|
999 |
+
"apr",
|
1000 |
+
"apr.",
|
1001 |
+
"ar.",
|
1002 |
+
"are",
|
1003 |
+
"ariz",
|
1004 |
+
"ariz.",
|
1005 |
+
"ark",
|
1006 |
+
"ark.",
|
1007 |
+
"as",
|
1008 |
+
"asL",
|
1009 |
+
"ash",
|
1010 |
+
"asl",
|
1011 |
+
"ass",
|
1012 |
+
"aug",
|
1013 |
+
"aug.",
|
1014 |
+
"ave",
|
1015 |
+
"ax.",
|
1016 |
+
"b",
|
1017 |
+
"b-doser",
|
1018 |
+
"b.",
|
1019 |
+
"because",
|
1020 |
+
"bil",
|
1021 |
+
"ble",
|
1022 |
+
"bout",
|
1023 |
+
"br.",
|
1024 |
+
"bros",
|
1025 |
+
"bros.",
|
1026 |
+
"c",
|
1027 |
+
"c'm",
|
1028 |
+
"c++",
|
1029 |
+
"c.",
|
1030 |
+
"ca",
|
1031 |
+
"calif",
|
1032 |
+
"calif.",
|
1033 |
+
"can",
|
1034 |
+
"cause",
|
1035 |
+
"ce>",
|
1036 |
+
"ch.",
|
1037 |
+
"co",
|
1038 |
+
"co.",
|
1039 |
+
"colo",
|
1040 |
+
"colo.",
|
1041 |
+
"come",
|
1042 |
+
"conn",
|
1043 |
+
"conn.",
|
1044 |
+
"corp",
|
1045 |
+
"corp.",
|
1046 |
+
"cos",
|
1047 |
+
"could",
|
1048 |
+
"coz",
|
1049 |
+
"ct.",
|
1050 |
+
"cuz",
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1535 |
+
"xd",
|
1536 |
+
"xdd",
|
1537 |
+
"xdddx",
|
1538 |
+
"xed",
|
1539 |
+
"xx",
|
1540 |
+
"xx'",
|
1541 |
+
"xx'x",
|
1542 |
+
"xx'xx",
|
1543 |
+
"xx-d",
|
1544 |
+
"xx-dd",
|
1545 |
+
"xx-ddxx",
|
1546 |
+
"xx-xxxx",
|
1547 |
+
"xx.",
|
1548 |
+
"xxX",
|
1549 |
+
"xxx",
|
1550 |
+
"xxx'x",
|
1551 |
+
"xxx-ddd",
|
1552 |
+
"xxx.",
|
1553 |
+
"xxx.ddd",
|
1554 |
+
"xxx/xx",
|
1555 |
+
"xxxdd",
|
1556 |
+
"xxxx",
|
1557 |
+
"xxxx'",
|
1558 |
+
"xxxx'x",
|
1559 |
+
"xxxx\u2019",
|
1560 |
+
"xxxx\u2019x",
|
1561 |
+
"xxx\u2019x",
|
1562 |
+
"xx\u2019",
|
1563 |
+
"xx\u2019x",
|
1564 |
+
"xx\u2019xx",
|
1565 |
+
"x\u00ae",
|
1566 |
+
"x\u2019",
|
1567 |
+
"x\u2019x",
|
1568 |
+
"x\u2019xxxx",
|
1569 |
+
"x\ufe35x",
|
1570 |
+
"y",
|
1571 |
+
"y'",
|
1572 |
+
"y's",
|
1573 |
+
"y.",
|
1574 |
+
"you",
|
1575 |
+
"y\u2019",
|
1576 |
+
"y\u2019s",
|
1577 |
+
"z",
|
1578 |
+
"z.",
|
1579 |
+
"zal",
|
1580 |
+
"|",
|
1581 |
+
"}",
|
1582 |
+
"\u00a0",
|
1583 |
+
"\u00a2",
|
1584 |
+
"\u00a2e",
|
1585 |
+
"\u00a2x",
|
1586 |
+
"\u00ac",
|
1587 |
+
"\u00ac_\u00ac",
|
1588 |
+
"\u00ae",
|
1589 |
+
"\u00af",
|
1590 |
+
"\u00af\\(x)/\u00af",
|
1591 |
+
"\u00af\\(\u30c4)/\u00af",
|
1592 |
+
"\u00b0",
|
1593 |
+
"\u00b0C.",
|
1594 |
+
"\u00b0F.",
|
1595 |
+
"\u00b0K.",
|
1596 |
+
"\u00b0X.",
|
1597 |
+
"\u00b0c.",
|
1598 |
+
"\u00b0e",
|
1599 |
+
"\u00b0f.",
|
1600 |
+
"\u00b0k.",
|
1601 |
+
"\u00b0x",
|
1602 |
+
"\u00b0x.",
|
1603 |
+
"\u00e4",
|
1604 |
+
"\u00e4.",
|
1605 |
+
"\u00f6",
|
1606 |
+
"\u00f6.",
|
1607 |
+
"\u00fc",
|
1608 |
+
"\u00fc.",
|
1609 |
+
"\u0ca0",
|
1610 |
+
"\u0ca0_\u0ca0",
|
1611 |
+
"\u0ca0\ufe35\u0ca0",
|
1612 |
+
"\u2014",
|
1613 |
+
"\u2014-",
|
1614 |
+
"\u2018",
|
1615 |
+
"\u2018S",
|
1616 |
+
"\u2018X",
|
1617 |
+
"\u2018s",
|
1618 |
+
"\u2018x",
|
1619 |
+
"\u2019",
|
1620 |
+
"\u2019-(",
|
1621 |
+
"\u2019-)",
|
1622 |
+
"\u2019Cause",
|
1623 |
+
"\u2019Cos",
|
1624 |
+
"\u2019Coz",
|
1625 |
+
"\u2019Cuz",
|
1626 |
+
"\u2019S",
|
1627 |
+
"\u2019X",
|
1628 |
+
"\u2019Xxx",
|
1629 |
+
"\u2019Xxxxx",
|
1630 |
+
"\u2019am",
|
1631 |
+
"\u2019bout",
|
1632 |
+
"\u2019cause",
|
1633 |
+
"\u2019cos",
|
1634 |
+
"\u2019coz",
|
1635 |
+
"\u2019cuz",
|
1636 |
+
"\u2019d",
|
1637 |
+
"\u2019em",
|
1638 |
+
"\u2019ll",
|
1639 |
+
"\u2019m",
|
1640 |
+
"\u2019nuff",
|
1641 |
+
"\u2019re",
|
1642 |
+
"\u2019s",
|
1643 |
+
"\u2019ve",
|
1644 |
+
"\u2019x",
|
1645 |
+
"\u2019xx",
|
1646 |
+
"\u2019xxx",
|
1647 |
+
"\u2019xxxx",
|
1648 |
+
"\u2019y",
|
1649 |
+
"\u2019\u2019",
|
1650 |
+
"\u2501",
|
1651 |
+
"\u253b",
|
1652 |
+
"\u253b\u2501\u253b",
|
1653 |
+
"\u256f",
|
1654 |
+
"\u25a1",
|
1655 |
+
"\ufe35",
|
1656 |
+
"\uff09"
|
1657 |
+
]
|
vocab/vectors
ADDED
Binary file (128 Bytes). View file
|
|
vocab/vectors.cfg
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"mode":"default"
|
3 |
+
}
|