Update spaCy pipeline
Browse files- .gitattributes +2 -0
- README.md +56 -0
- config.cfg +146 -0
- en_pipeline-any-py3-none-any.whl +3 -0
- meta.json +78 -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 +2145 -0
- vocab/vectors +0 -0
- vocab/vectors.cfg +3 -0
.gitattributes
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@@ -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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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_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: 1.0
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- name: NER Recall
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type: recall
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value: 1.0
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- name: NER F Score
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type: f_score
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value: 1.0
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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** | `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 (5 labels for 1 components)</summary>
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| Component | Labels |
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| --- | --- |
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| **`ner`** | `avg rating`, `name`, `price`, `quantity`, `total rating` |
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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` | 100.00 |
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| `ENTS_P` | 100.00 |
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| `ENTS_R` | 100.00 |
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| `TRANSFORMER_LOSS` | 1.73 |
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| `NER_LOSS` | 1.25 |
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config.cfg
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[paths]
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train = "corpus/train.spacy"
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dev = "corpus/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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[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 = 20000
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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 = 1000
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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 = 2000
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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_pipeline-any-py3-none-any.whl
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version https://git-lfs.github.com/spec/v1
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oid sha256:12dd6c9269d314a97784e49ad6b957608ca412d55ae699c01837660c8e2394a1
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size 424863033
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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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"transformer":[
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],
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"ner":[
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"avg rating",
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"name",
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"price",
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"quantity",
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"total rating"
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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":1.0,
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"ents_p":1.0,
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"ents_r":1.0,
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"ents_per_type":{
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"price":{
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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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"name":{
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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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"quantity":{
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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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"avg rating":{
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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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"total rating":{
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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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},
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"transformer_loss":0.0173356068,
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"ner_loss":0.0124846729
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},
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"requirements":[
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"spacy-transformers>=1.2.2,<1.3.0"
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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
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Binary file (232 kB). View file
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ner/moves
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��moves�L{"0":{},"1":{"name":520,"quantity":109,"price":94,"total rating":31,"avg rating":31},"2":{"name":520,"quantity":109,"price":94,"total rating":31,"avg rating":31},"3":{"name":520,"quantity":109,"price":94,"total rating":31,"avg rating":31},"4":{"name":520,"quantity":109,"price":94,"total rating":31,"avg rating":31,"":1},"5":{"":1}}�cfg��neg_key�
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tokenizer
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1 |
+
[
|
2 |
+
"\t",
|
3 |
+
"\n",
|
4 |
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"\n\n",
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5 |
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" ",
|
6 |
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"\"",
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"'",
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"'-(",
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15 |
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"'Cause",
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19 |
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362 |
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"7.37",
|
363 |
+
"7.40",
|
364 |
+
"7.47",
|
365 |
+
"70",
|
366 |
+
"723",
|
367 |
+
"7a.m",
|
368 |
+
"7a.m.",
|
369 |
+
"7p.m",
|
370 |
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"7p.m.",
|
371 |
+
"8",
|
372 |
+
"8)",
|
373 |
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|
374 |
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"8-)",
|
375 |
+
"8-D",
|
376 |
+
"8-d",
|
377 |
+
"8.50",
|
378 |
+
"8.65",
|
379 |
+
"8.95",
|
380 |
+
"81",
|
381 |
+
"85",
|
382 |
+
"8D",
|
383 |
+
"8a.m",
|
384 |
+
"8a.m.",
|
385 |
+
"8d",
|
386 |
+
"8p.m",
|
387 |
+
"8p.m.",
|
388 |
+
"9",
|
389 |
+
"9.14",
|
390 |
+
"9.85",
|
391 |
+
"9.95",
|
392 |
+
"900",
|
393 |
+
"93",
|
394 |
+
"946",
|
395 |
+
"946ml",
|
396 |
+
"9a.m",
|
397 |
+
"9a.m.",
|
398 |
+
"9p.m",
|
399 |
+
"9p.m.",
|
400 |
+
":",
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401 |
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":'(",
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402 |
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":')",
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403 |
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404 |
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":'-)",
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405 |
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":(",
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406 |
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":((",
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407 |
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":(((",
|
408 |
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":()",
|
409 |
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":)",
|
410 |
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":))",
|
411 |
+
":)))",
|
412 |
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":*",
|
413 |
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":-(",
|
414 |
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":-((",
|
415 |
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":-(((",
|
416 |
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":-)",
|
417 |
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":-))",
|
418 |
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":-)))",
|
419 |
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":-*",
|
420 |
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":-/",
|
421 |
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":-0",
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422 |
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":-3",
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423 |
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":->",
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424 |
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":-D",
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425 |
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":-O",
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426 |
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":-P",
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427 |
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":-X",
|
428 |
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":-]",
|
429 |
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":-d",
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430 |
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":-o",
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431 |
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":-p",
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432 |
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":-x",
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433 |
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":-|",
|
434 |
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":-}",
|
435 |
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":/",
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436 |
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":0",
|
437 |
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":1",
|
438 |
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":3",
|
439 |
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":>",
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440 |
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":D",
|
441 |
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":O",
|
442 |
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":P",
|
443 |
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":X",
|
444 |
+
":]",
|
445 |
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":d",
|
446 |
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":o",
|
447 |
+
":o)",
|
448 |
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":p",
|
449 |
+
":x",
|
450 |
+
":x)",
|
451 |
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":|",
|
452 |
+
":}",
|
453 |
+
":\u2019(",
|
454 |
+
":\u2019)",
|
455 |
+
":\u2019-(",
|
456 |
+
":\u2019-)",
|
457 |
+
";",
|
458 |
+
";)",
|
459 |
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";-)",
|
460 |
+
";-D",
|
461 |
+
";-X",
|
462 |
+
";-d",
|
463 |
+
";D",
|
464 |
+
";X",
|
465 |
+
";_;",
|
466 |
+
";d",
|
467 |
+
"<",
|
468 |
+
"<.<",
|
469 |
+
"</3",
|
470 |
+
"</d",
|
471 |
+
"<3",
|
472 |
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"<33",
|
473 |
+
"<333",
|
474 |
+
"<d",
|
475 |
+
"<dd",
|
476 |
+
"<ddd",
|
477 |
+
"<space>",
|
478 |
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"<xxxx>",
|
479 |
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"=",
|
480 |
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"=(",
|
481 |
+
"=)",
|
482 |
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"=/",
|
483 |
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"=3",
|
484 |
+
"=D",
|
485 |
+
"=X",
|
486 |
+
"=[",
|
487 |
+
"=]",
|
488 |
+
"=d",
|
489 |
+
"=|",
|
490 |
+
">",
|
491 |
+
">.<",
|
492 |
+
">.>",
|
493 |
+
">:(",
|
494 |
+
">:o",
|
495 |
+
">:x",
|
496 |
+
"><(((*>",
|
497 |
+
"@",
|
498 |
+
"@_@",
|
499 |
+
"A",
|
500 |
+
"AdFairPrice",
|
501 |
+
"AdHarvest",
|
502 |
+
"AdLila",
|
503 |
+
"AdSanabelle",
|
504 |
+
"Add",
|
505 |
+
"Adm",
|
506 |
+
"Adm.",
|
507 |
+
"Adult",
|
508 |
+
"Ai",
|
509 |
+
"Ak",
|
510 |
+
"Ak.",
|
511 |
+
"Ala",
|
512 |
+
"Ala.",
|
513 |
+
"Alabama",
|
514 |
+
"Alaska",
|
515 |
+
"Alkaline",
|
516 |
+
"And",
|
517 |
+
"Any",
|
518 |
+
"Apple",
|
519 |
+
"Apr",
|
520 |
+
"Apr.",
|
521 |
+
"April",
|
522 |
+
"Are",
|
523 |
+
"Ariz",
|
524 |
+
"Ariz.",
|
525 |
+
"Arizona",
|
526 |
+
"Ark",
|
527 |
+
"Ark.",
|
528 |
+
"Arkansas",
|
529 |
+
"Arrabbiata",
|
530 |
+
"At",
|
531 |
+
"Aug",
|
532 |
+
"Aug.",
|
533 |
+
"August",
|
534 |
+
"B",
|
535 |
+
"Baby",
|
536 |
+
"Bags",
|
537 |
+
"Bangkit",
|
538 |
+
"Berry",
|
539 |
+
"Bites",
|
540 |
+
"Blue",
|
541 |
+
"Blueberry",
|
542 |
+
"Bottle",
|
543 |
+
"Box",
|
544 |
+
"Bros",
|
545 |
+
"Bros.",
|
546 |
+
"Buy",
|
547 |
+
"By",
|
548 |
+
"C",
|
549 |
+
"C'm",
|
550 |
+
"C++",
|
551 |
+
"C.",
|
552 |
+
"CTN",
|
553 |
+
"Ca",
|
554 |
+
"Calif",
|
555 |
+
"Calif.",
|
556 |
+
"California",
|
557 |
+
"Calming",
|
558 |
+
"Can",
|
559 |
+
"Carnation",
|
560 |
+
"Carrot",
|
561 |
+
"Carrots",
|
562 |
+
"Carto",
|
563 |
+
"Cartridge",
|
564 |
+
"Cat",
|
565 |
+
"Cause",
|
566 |
+
"Cesar",
|
567 |
+
"Chamomile",
|
568 |
+
"Chef",
|
569 |
+
"Chicken",
|
570 |
+
"China",
|
571 |
+
"Choco",
|
572 |
+
"Chocolate",
|
573 |
+
"Cholesterol",
|
574 |
+
"Choon",
|
575 |
+
"Cleaner",
|
576 |
+
"Cleaning",
|
577 |
+
"Co",
|
578 |
+
"Co.",
|
579 |
+
"Coca",
|
580 |
+
"Coffee",
|
581 |
+
"Cola",
|
582 |
+
"Colo",
|
583 |
+
"Colo.",
|
584 |
+
"Colorado",
|
585 |
+
"Conn",
|
586 |
+
"Conn.",
|
587 |
+
"Connecticut",
|
588 |
+
"Cook",
|
589 |
+
"Cookies",
|
590 |
+
"Corn",
|
591 |
+
"Corp",
|
592 |
+
"Corp.",
|
593 |
+
"Cos",
|
594 |
+
"Could",
|
595 |
+
"Country",
|
596 |
+
"Coz",
|
597 |
+
"Crackers",
|
598 |
+
"Cream",
|
599 |
+
"Crispy",
|
600 |
+
"Croutons",
|
601 |
+
"Curry",
|
602 |
+
"Cuz",
|
603 |
+
"Cypress",
|
604 |
+
"C\u2019m",
|
605 |
+
"D",
|
606 |
+
"D.",
|
607 |
+
"D.C.",
|
608 |
+
"Dare",
|
609 |
+
"Dec",
|
610 |
+
"Dec.",
|
611 |
+
"December",
|
612 |
+
"Del",
|
613 |
+
"Del.",
|
614 |
+
"Delaware",
|
615 |
+
"Detergent",
|
616 |
+
"Did",
|
617 |
+
"Distilled",
|
618 |
+
"Do",
|
619 |
+
"Does",
|
620 |
+
"Dog",
|
621 |
+
"Dogs",
|
622 |
+
"Doin",
|
623 |
+
"Doin'",
|
624 |
+
"Doin\u2019",
|
625 |
+
"Dr",
|
626 |
+
"Dr.",
|
627 |
+
"Drink",
|
628 |
+
"Drinking",
|
629 |
+
"Dry",
|
630 |
+
"E",
|
631 |
+
"E.G.",
|
632 |
+
"E.g",
|
633 |
+
"E.g.",
|
634 |
+
"Egg",
|
635 |
+
"Eggs",
|
636 |
+
"Emas",
|
637 |
+
"Emerald",
|
638 |
+
"Essence",
|
639 |
+
"Evaporated",
|
640 |
+
"Extra",
|
641 |
+
"F",
|
642 |
+
"F.",
|
643 |
+
"FairPrice",
|
644 |
+
"Fairprice",
|
645 |
+
"Farmhouse",
|
646 |
+
"Fat",
|
647 |
+
"Feb",
|
648 |
+
"Feb.",
|
649 |
+
"February",
|
650 |
+
"Fields",
|
651 |
+
"Fish",
|
652 |
+
"Fla",
|
653 |
+
"Fla.",
|
654 |
+
"Flaked",
|
655 |
+
"Floor",
|
656 |
+
"Flooring",
|
657 |
+
"Floors",
|
658 |
+
"Florida",
|
659 |
+
"Flower",
|
660 |
+
"Food",
|
661 |
+
"For",
|
662 |
+
"Fortune",
|
663 |
+
"Freezepak",
|
664 |
+
"Fresh",
|
665 |
+
"Fri",
|
666 |
+
"Fried",
|
667 |
+
"Full",
|
668 |
+
"G",
|
669 |
+
"Ga",
|
670 |
+
"Ga.",
|
671 |
+
"Garlic",
|
672 |
+
"Gen",
|
673 |
+
"Gen.",
|
674 |
+
"Generation",
|
675 |
+
"Georgia",
|
676 |
+
"Gerber",
|
677 |
+
"Gift",
|
678 |
+
"Goin",
|
679 |
+
"Goin'",
|
680 |
+
"Goin\u2019",
|
681 |
+
"Golden",
|
682 |
+
"Gon",
|
683 |
+
"Got",
|
684 |
+
"Gov",
|
685 |
+
"Gov.",
|
686 |
+
"Graduates",
|
687 |
+
"Gravy",
|
688 |
+
"Green",
|
689 |
+
"Gula",
|
690 |
+
"Gunung",
|
691 |
+
"H",
|
692 |
+
"Had",
|
693 |
+
"Happy",
|
694 |
+
"Hardwood",
|
695 |
+
"Harvest",
|
696 |
+
"Has",
|
697 |
+
"Have",
|
698 |
+
"Havin",
|
699 |
+
"Havin'",
|
700 |
+
"Havin\u2019",
|
701 |
+
"He",
|
702 |
+
"He's",
|
703 |
+
"He\u2019s",
|
704 |
+
"Holland",
|
705 |
+
"Hom",
|
706 |
+
"How",
|
707 |
+
"How's",
|
708 |
+
"How\u2019s",
|
709 |
+
"I",
|
710 |
+
"I.E.",
|
711 |
+
"I.e",
|
712 |
+
"I.e.",
|
713 |
+
"Ia",
|
714 |
+
"Ia.",
|
715 |
+
"Id",
|
716 |
+
"Id.",
|
717 |
+
"Idaho",
|
718 |
+
"Ill",
|
719 |
+
"Ill.",
|
720 |
+
"Illinois",
|
721 |
+
"Inc",
|
722 |
+
"Inc.",
|
723 |
+
"Ind",
|
724 |
+
"Ind.",
|
725 |
+
"Indian",
|
726 |
+
"Indiana",
|
727 |
+
"Instant",
|
728 |
+
"Iowa",
|
729 |
+
"Is",
|
730 |
+
"It",
|
731 |
+
"It's",
|
732 |
+
"It\u2019s",
|
733 |
+
"J",
|
734 |
+
"Jan",
|
735 |
+
"Jan.",
|
736 |
+
"January",
|
737 |
+
"Japanese",
|
738 |
+
"Jr",
|
739 |
+
"Jr.",
|
740 |
+
"Jul",
|
741 |
+
"Jul.",
|
742 |
+
"July",
|
743 |
+
"Jun",
|
744 |
+
"Jun.",
|
745 |
+
"June",
|
746 |
+
"K",
|
747 |
+
"K.",
|
748 |
+
"KG",
|
749 |
+
"Kan",
|
750 |
+
"Kan.",
|
751 |
+
"Kans",
|
752 |
+
"Kans.",
|
753 |
+
"Kansas",
|
754 |
+
"Kentucky",
|
755 |
+
"Kleen",
|
756 |
+
"Kuih",
|
757 |
+
"Ky",
|
758 |
+
"Ky.",
|
759 |
+
"Kyowa",
|
760 |
+
"L",
|
761 |
+
"La",
|
762 |
+
"La.",
|
763 |
+
"Laksa",
|
764 |
+
"Lamb",
|
765 |
+
"Leifheit",
|
766 |
+
"Lemon",
|
767 |
+
"Let",
|
768 |
+
"Let's",
|
769 |
+
"Letter",
|
770 |
+
"Let\u2019s",
|
771 |
+
"Life",
|
772 |
+
"Louisiana",
|
773 |
+
"Love",
|
774 |
+
"Loves",
|
775 |
+
"Lovin",
|
776 |
+
"Lovin'",
|
777 |
+
"Lovin\u2019",
|
778 |
+
"Low",
|
779 |
+
"Lower",
|
780 |
+
"Ltd",
|
781 |
+
"Ltd.",
|
782 |
+
"Luncheon",
|
783 |
+
"M",
|
784 |
+
"ML",
|
785 |
+
"Ma'am",
|
786 |
+
"Maggi",
|
787 |
+
"Magiclean",
|
788 |
+
"Mali",
|
789 |
+
"Maling",
|
790 |
+
"Malt",
|
791 |
+
"Mango",
|
792 |
+
"Mar",
|
793 |
+
"Mar.",
|
794 |
+
"March",
|
795 |
+
"Mashed",
|
796 |
+
"Mass",
|
797 |
+
"Mass.",
|
798 |
+
"Massachusetts",
|
799 |
+
"May",
|
800 |
+
"Ma\u2019am",
|
801 |
+
"Md",
|
802 |
+
"Md.",
|
803 |
+
"Meal",
|
804 |
+
"Meat",
|
805 |
+
"Meiji",
|
806 |
+
"Melaka",
|
807 |
+
"Messrs",
|
808 |
+
"Messrs.",
|
809 |
+
"Mich",
|
810 |
+
"Mich.",
|
811 |
+
"Michigan",
|
812 |
+
"Might",
|
813 |
+
"Milk",
|
814 |
+
"Milo",
|
815 |
+
"Mineral",
|
816 |
+
"Minn",
|
817 |
+
"Minn.",
|
818 |
+
"Minnesota",
|
819 |
+
"Minute",
|
820 |
+
"Miss",
|
821 |
+
"Miss.",
|
822 |
+
"Mississippi",
|
823 |
+
"Mixed",
|
824 |
+
"Mo",
|
825 |
+
"Mo.",
|
826 |
+
"Mont",
|
827 |
+
"Mont.",
|
828 |
+
"Mount",
|
829 |
+
"Mr",
|
830 |
+
"Mr.",
|
831 |
+
"Mrs",
|
832 |
+
"Mrs.",
|
833 |
+
"Ms",
|
834 |
+
"Ms.",
|
835 |
+
"Mt",
|
836 |
+
"Mt.",
|
837 |
+
"Must",
|
838 |
+
"N",
|
839 |
+
"N.C.",
|
840 |
+
"N.D.",
|
841 |
+
"N.H.",
|
842 |
+
"N.J.",
|
843 |
+
"N.M.",
|
844 |
+
"N.Y.",
|
845 |
+
"Natural",
|
846 |
+
"Neb",
|
847 |
+
"Neb.",
|
848 |
+
"Nebr",
|
849 |
+
"Nebr.",
|
850 |
+
"Nebraska",
|
851 |
+
"Need",
|
852 |
+
"Nescafe",
|
853 |
+
"Nev",
|
854 |
+
"Nev.",
|
855 |
+
"Nevada",
|
856 |
+
"New Hampshire",
|
857 |
+
"New Jersey",
|
858 |
+
"New Mexico",
|
859 |
+
"New York",
|
860 |
+
"North Carolina",
|
861 |
+
"North Dakota",
|
862 |
+
"Not",
|
863 |
+
"Nothin",
|
864 |
+
"Nothin'",
|
865 |
+
"Nothin\u2019",
|
866 |
+
"Nov",
|
867 |
+
"Nov.",
|
868 |
+
"November",
|
869 |
+
"Nuggets",
|
870 |
+
"Nuthin",
|
871 |
+
"Nuthin'",
|
872 |
+
"Nuthin\u2019",
|
873 |
+
"O",
|
874 |
+
"O'clock",
|
875 |
+
"O.O",
|
876 |
+
"O.o",
|
877 |
+
"OSK",
|
878 |
+
"O_O",
|
879 |
+
"O_o",
|
880 |
+
"Oct",
|
881 |
+
"Oct.",
|
882 |
+
"October",
|
883 |
+
"Off",
|
884 |
+
"Okla",
|
885 |
+
"Okla.",
|
886 |
+
"Oklahoma",
|
887 |
+
"Ol",
|
888 |
+
"Ol'",
|
889 |
+
"Ol\u2019",
|
890 |
+
"Omega",
|
891 |
+
"Onions",
|
892 |
+
"Ore",
|
893 |
+
"Ore.",
|
894 |
+
"Oregon",
|
895 |
+
"Origin",
|
896 |
+
"Original",
|
897 |
+
"Ought",
|
898 |
+
"O\u2019clock",
|
899 |
+
"P",
|
900 |
+
"PWPCoca",
|
901 |
+
"Pa",
|
902 |
+
"Pa.",
|
903 |
+
"Pasar",
|
904 |
+
"PediaSure",
|
905 |
+
"Pennsylvania",
|
906 |
+
"Ph",
|
907 |
+
"Ph.D.",
|
908 |
+
"Pork",
|
909 |
+
"Potato",
|
910 |
+
"Powder",
|
911 |
+
"Prego",
|
912 |
+
"Premium",
|
913 |
+
"Prepacked",
|
914 |
+
"Prima",
|
915 |
+
"Prof",
|
916 |
+
"Prof.",
|
917 |
+
"Professional",
|
918 |
+
"Puffs",
|
919 |
+
"Puppies",
|
920 |
+
"Purchase",
|
921 |
+
"Pure",
|
922 |
+
"Q",
|
923 |
+
"QT",
|
924 |
+
"Quick",
|
925 |
+
"R",
|
926 |
+
"ROOT",
|
927 |
+
"Ready",
|
928 |
+
"Refreshing",
|
929 |
+
"Regular",
|
930 |
+
"Rep",
|
931 |
+
"Rep.",
|
932 |
+
"Rev",
|
933 |
+
"Rev.",
|
934 |
+
"Rice",
|
935 |
+
"Roll",
|
936 |
+
"Rose",
|
937 |
+
"Royal",
|
938 |
+
"Rust",
|
939 |
+
"S",
|
940 |
+
"S.C.",
|
941 |
+
"Salmon",
|
942 |
+
"Satay",
|
943 |
+
"Save",
|
944 |
+
"Seafood",
|
945 |
+
"Sen",
|
946 |
+
"Sen.",
|
947 |
+
"Seng",
|
948 |
+
"Sensitive",
|
949 |
+
"Sep",
|
950 |
+
"Sep.",
|
951 |
+
"Sept",
|
952 |
+
"Sept.",
|
953 |
+
"September",
|
954 |
+
"Serenity",
|
955 |
+
"Set",
|
956 |
+
"Seventh",
|
957 |
+
"Sha",
|
958 |
+
"Shampoo",
|
959 |
+
"She",
|
960 |
+
"She's",
|
961 |
+
"Sheba",
|
962 |
+
"Sheet",
|
963 |
+
"She\u2019s",
|
964 |
+
"Should",
|
965 |
+
"Silken",
|
966 |
+
"Single",
|
967 |
+
"Smooth",
|
968 |
+
"Somethin",
|
969 |
+
"Somethin'",
|
970 |
+
"Somethin\u2019",
|
971 |
+
"Soothing",
|
972 |
+
"South Carolina",
|
973 |
+
"Spend",
|
974 |
+
"Spicy",
|
975 |
+
"St",
|
976 |
+
"St.",
|
977 |
+
"Stone",
|
978 |
+
"Strawberry",
|
979 |
+
"Strong",
|
980 |
+
"Style",
|
981 |
+
"Sugar",
|
982 |
+
"Sugar@",
|
983 |
+
"Sweet",
|
984 |
+
"T",
|
985 |
+
"Taste",
|
986 |
+
"Tea",
|
987 |
+
"Tender",
|
988 |
+
"Tenn",
|
989 |
+
"Tenn.",
|
990 |
+
"Tennessee",
|
991 |
+
"Thai",
|
992 |
+
"That",
|
993 |
+
"That's",
|
994 |
+
"That\u2019s",
|
995 |
+
"There",
|
996 |
+
"There's",
|
997 |
+
"There\u2019s",
|
998 |
+
"These",
|
999 |
+
"They",
|
1000 |
+
"This",
|
1001 |
+
"This's",
|
1002 |
+
"This\u2019s",
|
1003 |
+
"Those",
|
1004 |
+
"Tile",
|
1005 |
+
"Tiles",
|
1006 |
+
"To",
|
1007 |
+
"Tofu",
|
1008 |
+
"Traditional",
|
1009 |
+
"TripleSure",
|
1010 |
+
"Trout",
|
1011 |
+
"Tub",
|
1012 |
+
"Tube",
|
1013 |
+
"Tuna",
|
1014 |
+
"U",
|
1015 |
+
"Umbrella",
|
1016 |
+
"Up",
|
1017 |
+
"V",
|
1018 |
+
"V.V",
|
1019 |
+
"V_V",
|
1020 |
+
"Va",
|
1021 |
+
"Va.",
|
1022 |
+
"Vegetables",
|
1023 |
+
"Virginia",
|
1024 |
+
"W",
|
1025 |
+
"Was",
|
1026 |
+
"Wash",
|
1027 |
+
"Wash.",
|
1028 |
+
"Washington",
|
1029 |
+
"Water",
|
1030 |
+
"We",
|
1031 |
+
"Weiman",
|
1032 |
+
"Were",
|
1033 |
+
"Wet",
|
1034 |
+
"What",
|
1035 |
+
"What's",
|
1036 |
+
"What\u2019s",
|
1037 |
+
"When",
|
1038 |
+
"When's",
|
1039 |
+
"When\u2019s",
|
1040 |
+
"Where",
|
1041 |
+
"Where's",
|
1042 |
+
"Where\u2019s",
|
1043 |
+
"White",
|
1044 |
+
"Who",
|
1045 |
+
"Who's",
|
1046 |
+
"Who\u2019s",
|
1047 |
+
"Why",
|
1048 |
+
"Why's",
|
1049 |
+
"Why\u2019s",
|
1050 |
+
"Win",
|
1051 |
+
"Wiper",
|
1052 |
+
"Wipes",
|
1053 |
+
"Wis",
|
1054 |
+
"Wis.",
|
1055 |
+
"Wisconsin",
|
1056 |
+
"Wo",
|
1057 |
+
"Would",
|
1058 |
+
"X'x",
|
1059 |
+
"X'xxxx",
|
1060 |
+
"X++",
|
1061 |
+
"X.",
|
1062 |
+
"X.X",
|
1063 |
+
"X.X.",
|
1064 |
+
"X.x",
|
1065 |
+
"X.x.",
|
1066 |
+
"XD",
|
1067 |
+
"XDD",
|
1068 |
+
"XX",
|
1069 |
+
"XXX",
|
1070 |
+
"XXXXxxx",
|
1071 |
+
"X_X",
|
1072 |
+
"X_x",
|
1073 |
+
"Xx",
|
1074 |
+
"Xx'",
|
1075 |
+
"Xx'x",
|
1076 |
+
"Xx'xx",
|
1077 |
+
"Xx.",
|
1078 |
+
"Xx.X.",
|
1079 |
+
"XxXxxx",
|
1080 |
+
"XxXxxxXxxxx",
|
1081 |
+
"XxXxxxx",
|
1082 |
+
"Xxx",
|
1083 |
+
"Xxx'x",
|
1084 |
+
"Xxx.",
|
1085 |
+
"Xxxx",
|
1086 |
+
"Xxxx'",
|
1087 |
+
"Xxxx'x",
|
1088 |
+
"Xxxx.",
|
1089 |
+
"XxxxXxxxx",
|
1090 |
+
"Xxxxx",
|
1091 |
+
"Xxxxx'",
|
1092 |
+
"Xxxxx'x",
|
1093 |
+
"Xxxxx.",
|
1094 |
+
"Xxxxx@",
|
1095 |
+
"XxxxxXxxx",
|
1096 |
+
"Xxxxx\u2019",
|
1097 |
+
"Xxxxx\u2019x",
|
1098 |
+
"Xxxx\u2019",
|
1099 |
+
"Xxxx\u2019x",
|
1100 |
+
"Xxx\u2019x",
|
1101 |
+
"Xx\u2019",
|
1102 |
+
"Xx\u2019x",
|
1103 |
+
"Xx\u2019xx",
|
1104 |
+
"X\u2019x",
|
1105 |
+
"X\u2019xxxx",
|
1106 |
+
"Y",
|
1107 |
+
"Yoghurt",
|
1108 |
+
"You",
|
1109 |
+
"Z",
|
1110 |
+
"Zen",
|
1111 |
+
"Zero",
|
1112 |
+
"[",
|
1113 |
+
"[-:",
|
1114 |
+
"[:",
|
1115 |
+
"[=",
|
1116 |
+
"\\",
|
1117 |
+
"\\\")",
|
1118 |
+
"\\n",
|
1119 |
+
"\\t",
|
1120 |
+
"\\x",
|
1121 |
+
"]",
|
1122 |
+
"]=",
|
1123 |
+
"^",
|
1124 |
+
"^_^",
|
1125 |
+
"^__^",
|
1126 |
+
"^___^",
|
1127 |
+
"_*)",
|
1128 |
+
"_-)",
|
1129 |
+
"_.)",
|
1130 |
+
"_<)",
|
1131 |
+
"_^)",
|
1132 |
+
"__-",
|
1133 |
+
"__^",
|
1134 |
+
"_\u00ac)",
|
1135 |
+
"_\u0ca0)",
|
1136 |
+
"a",
|
1137 |
+
"a.",
|
1138 |
+
"a.m",
|
1139 |
+
"a.m.",
|
1140 |
+
"about",
|
1141 |
+
"aby",
|
1142 |
+
"ace",
|
1143 |
+
"ack",
|
1144 |
+
"add",
|
1145 |
+
"adfairprice",
|
1146 |
+
"adharvest",
|
1147 |
+
"adlila",
|
1148 |
+
"adm",
|
1149 |
+
"adm.",
|
1150 |
+
"adsanabelle",
|
1151 |
+
"adult",
|
1152 |
+
"ady",
|
1153 |
+
"afe",
|
1154 |
+
"ags",
|
1155 |
+
"ai",
|
1156 |
+
"ak",
|
1157 |
+
"ak.",
|
1158 |
+
"aka",
|
1159 |
+
"ala",
|
1160 |
+
"ala.",
|
1161 |
+
"ald",
|
1162 |
+
"ali",
|
1163 |
+
"alkaline",
|
1164 |
+
"all",
|
1165 |
+
"alt",
|
1166 |
+
"am",
|
1167 |
+
"amb",
|
1168 |
+
"ame",
|
1169 |
+
"an.",
|
1170 |
+
"and",
|
1171 |
+
"and/or",
|
1172 |
+
"ans",
|
1173 |
+
"ant",
|
1174 |
+
"any",
|
1175 |
+
"apple",
|
1176 |
+
"apr",
|
1177 |
+
"apr.",
|
1178 |
+
"ar.",
|
1179 |
+
"ar@",
|
1180 |
+
"are",
|
1181 |
+
"ariz",
|
1182 |
+
"ariz.",
|
1183 |
+
"ark",
|
1184 |
+
"ark.",
|
1185 |
+
"arrabbiata",
|
1186 |
+
"art",
|
1187 |
+
"ase",
|
1188 |
+
"ash",
|
1189 |
+
"ass",
|
1190 |
+
"at",
|
1191 |
+
"ata",
|
1192 |
+
"ate",
|
1193 |
+
"ato",
|
1194 |
+
"aug",
|
1195 |
+
"aug.",
|
1196 |
+
"ave",
|
1197 |
+
"avg rating",
|
1198 |
+
"avy",
|
1199 |
+
"b",
|
1200 |
+
"b.",
|
1201 |
+
"baby",
|
1202 |
+
"bags",
|
1203 |
+
"bangkit",
|
1204 |
+
"because",
|
1205 |
+
"ber",
|
1206 |
+
"berry",
|
1207 |
+
"bites",
|
1208 |
+
"blue",
|
1209 |
+
"blueberry",
|
1210 |
+
"bottle",
|
1211 |
+
"bout",
|
1212 |
+
"box",
|
1213 |
+
"br.",
|
1214 |
+
"bros",
|
1215 |
+
"bros.",
|
1216 |
+
"buy",
|
1217 |
+
"by",
|
1218 |
+
"c",
|
1219 |
+
"c'm",
|
1220 |
+
"c++",
|
1221 |
+
"c.",
|
1222 |
+
"ca",
|
1223 |
+
"calif",
|
1224 |
+
"calif.",
|
1225 |
+
"calming",
|
1226 |
+
"can",
|
1227 |
+
"carnation",
|
1228 |
+
"carrot",
|
1229 |
+
"carrots",
|
1230 |
+
"cart",
|
1231 |
+
"carto",
|
1232 |
+
"cartridge",
|
1233 |
+
"cat",
|
1234 |
+
"cause",
|
1235 |
+
"ce>",
|
1236 |
+
"cesar",
|
1237 |
+
"ch.",
|
1238 |
+
"chamomile",
|
1239 |
+
"chef",
|
1240 |
+
"chicken",
|
1241 |
+
"china",
|
1242 |
+
"choco",
|
1243 |
+
"chocolate",
|
1244 |
+
"cholesterol",
|
1245 |
+
"choon",
|
1246 |
+
"cleaner",
|
1247 |
+
"cleaning",
|
1248 |
+
"co",
|
1249 |
+
"co.",
|
1250 |
+
"coca",
|
1251 |
+
"coffee",
|
1252 |
+
"cola",
|
1253 |
+
"colo",
|
1254 |
+
"colo.",
|
1255 |
+
"come",
|
1256 |
+
"conn",
|
1257 |
+
"conn.",
|
1258 |
+
"cook",
|
1259 |
+
"cookies",
|
1260 |
+
"corn",
|
1261 |
+
"corp",
|
1262 |
+
"corp.",
|
1263 |
+
"cos",
|
1264 |
+
"could",
|
1265 |
+
"country",
|
1266 |
+
"coz",
|
1267 |
+
"crackers",
|
1268 |
+
"cream",
|
1269 |
+
"crispy",
|
1270 |
+
"croutons",
|
1271 |
+
"ct.",
|
1272 |
+
"ctn",
|
1273 |
+
"curry",
|
1274 |
+
"cuz",
|
1275 |
+
"cypress",
|
1276 |
+
"c\u2019m",
|
1277 |
+
"d",
|
1278 |
+
"d)",
|
1279 |
+
"d-",
|
1280 |
+
"d-)",
|
1281 |
+
"d-X",
|
1282 |
+
"d.",
|
1283 |
+
"d.c.",
|
1284 |
+
"d.d",
|
1285 |
+
"d.dX",
|
1286 |
+
"d.dd",
|
1287 |
+
"d.ddXxx",
|
1288 |
+
"d.ddxxx",
|
1289 |
+
"d.dx",
|
1290 |
+
"d.x",
|
1291 |
+
"dX",
|
1292 |
+
"d_d",
|
1293 |
+
"d_x",
|
1294 |
+
"dare",
|
1295 |
+
"dd",
|
1296 |
+
"dd.dd",
|
1297 |
+
"ddXX",
|
1298 |
+
"ddd",
|
1299 |
+
"dddxx",
|
1300 |
+
"ddx.x",
|
1301 |
+
"ddx.x.",
|
1302 |
+
"ddxx",
|
1303 |
+
"dec",
|
1304 |
+
"dec.",
|
1305 |
+
"del",
|
1306 |
+
"del.",
|
1307 |
+
"den",
|
1308 |
+
"der",
|
1309 |
+
"detergent",
|
1310 |
+
"dge",
|
1311 |
+
"did",
|
1312 |
+
"distilled",
|
1313 |
+
"dm.",
|
1314 |
+
"do",
|
1315 |
+
"does",
|
1316 |
+
"dog",
|
1317 |
+
"dogs",
|
1318 |
+
"doin",
|
1319 |
+
"doin'",
|
1320 |
+
"doing",
|
1321 |
+
"doin\u2019",
|
1322 |
+
"dr",
|
1323 |
+
"dr.",
|
1324 |
+
"drink",
|
1325 |
+
"drinking",
|
1326 |
+
"dry",
|
1327 |
+
"dx.x",
|
1328 |
+
"dx.x.",
|
1329 |
+
"e",
|
1330 |
+
"e's",
|
1331 |
+
"e.",
|
1332 |
+
"e.g",
|
1333 |
+
"e.g.",
|
1334 |
+
"eal",
|
1335 |
+
"eam",
|
1336 |
+
"ean",
|
1337 |
+
"eat",
|
1338 |
+
"eb.",
|
1339 |
+
"eba",
|
1340 |
+
"ebr",
|
1341 |
+
"ec.",
|
1342 |
+
"eed",
|
1343 |
+
"een",
|
1344 |
+
"eet",
|
1345 |
+
"ega",
|
1346 |
+
"egg",
|
1347 |
+
"eggs",
|
1348 |
+
"ego",
|
1349 |
+
"eit",
|
1350 |
+
"el.",
|
1351 |
+
"electrolyzed",
|
1352 |
+
"em",
|
1353 |
+
"emas",
|
1354 |
+
"emerald",
|
1355 |
+
"en",
|
1356 |
+
"en.",
|
1357 |
+
"end",
|
1358 |
+
"eng",
|
1359 |
+
"enn",
|
1360 |
+
"enough",
|
1361 |
+
"ent",
|
1362 |
+
"eon",
|
1363 |
+
"ep.",
|
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1370 |
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|
1857 |
+
"soothing",
|
1858 |
+
"space",
|
1859 |
+
"spend",
|
1860 |
+
"spicy",
|
1861 |
+
"spy",
|
1862 |
+
"srs",
|
1863 |
+
"ss.",
|
1864 |
+
"st",
|
1865 |
+
"st.",
|
1866 |
+
"ste",
|
1867 |
+
"stone",
|
1868 |
+
"strawberry",
|
1869 |
+
"strong",
|
1870 |
+
"style",
|
1871 |
+
"sugar",
|
1872 |
+
"sugar@",
|
1873 |
+
"sweet",
|
1874 |
+
"s\u2019s",
|
1875 |
+
"t",
|
1876 |
+
"t's",
|
1877 |
+
"t.",
|
1878 |
+
"ta",
|
1879 |
+
"taste",
|
1880 |
+
"tay",
|
1881 |
+
"td.",
|
1882 |
+
"tea",
|
1883 |
+
"ted",
|
1884 |
+
"tender",
|
1885 |
+
"tenn",
|
1886 |
+
"tenn.",
|
1887 |
+
"ter",
|
1888 |
+
"tes",
|
1889 |
+
"thai",
|
1890 |
+
"that",
|
1891 |
+
"that's",
|
1892 |
+
"that\u2019s",
|
1893 |
+
"them",
|
1894 |
+
"there",
|
1895 |
+
"there's",
|
1896 |
+
"there\u2019s",
|
1897 |
+
"these",
|
1898 |
+
"they",
|
1899 |
+
"this",
|
1900 |
+
"this's",
|
1901 |
+
"this\u2019s",
|
1902 |
+
"those",
|
1903 |
+
"tile",
|
1904 |
+
"tiles",
|
1905 |
+
"tle",
|
1906 |
+
"to",
|
1907 |
+
"tofu",
|
1908 |
+
"total rating",
|
1909 |
+
"tra",
|
1910 |
+
"traditional",
|
1911 |
+
"triplesure",
|
1912 |
+
"trout",
|
1913 |
+
"try",
|
1914 |
+
"tub",
|
1915 |
+
"tube",
|
1916 |
+
"tuna",
|
1917 |
+
"t\u2019s",
|
1918 |
+
"u",
|
1919 |
+
"u.",
|
1920 |
+
"ube",
|
1921 |
+
"uff",
|
1922 |
+
"ug.",
|
1923 |
+
"uih",
|
1924 |
+
"ul.",
|
1925 |
+
"ula",
|
1926 |
+
"uld",
|
1927 |
+
"ull",
|
1928 |
+
"ult",
|
1929 |
+
"umbrella",
|
1930 |
+
"un.",
|
1931 |
+
"una",
|
1932 |
+
"une",
|
1933 |
+
"ung",
|
1934 |
+
"up",
|
1935 |
+
"ure",
|
1936 |
+
"urt",
|
1937 |
+
"us",
|
1938 |
+
"use",
|
1939 |
+
"ust",
|
1940 |
+
"ute",
|
1941 |
+
"v",
|
1942 |
+
"v.",
|
1943 |
+
"v.s",
|
1944 |
+
"v.s.",
|
1945 |
+
"v.v",
|
1946 |
+
"v_v",
|
1947 |
+
"va",
|
1948 |
+
"va.",
|
1949 |
+
"ve",
|
1950 |
+
"vegetables",
|
1951 |
+
"ves",
|
1952 |
+
"vin",
|
1953 |
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"vs",
|
1954 |
+
"vs.",
|
1955 |
+
"w",
|
1956 |
+
"w's",
|
1957 |
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"w.",
|
1958 |
+
"w/o",
|
1959 |
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"was",
|
1960 |
+
"wash",
|
1961 |
+
"wash.",
|
1962 |
+
"water",
|
1963 |
+
"we",
|
1964 |
+
"weiman",
|
1965 |
+
"wer",
|
1966 |
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|
1967 |
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|
1968 |
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"what",
|
1969 |
+
"what's",
|
1970 |
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|
1971 |
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|
1972 |
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|
1973 |
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|
1974 |
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"where",
|
1975 |
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|
1976 |
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"where\u2019s",
|
1977 |
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|
1978 |
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|
1979 |
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|
1980 |
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|
1981 |
+
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|
1982 |
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|
1983 |
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|
1984 |
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"will",
|
1985 |
+
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|
1986 |
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|
1987 |
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|
1988 |
+
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|
1989 |
+
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|
1990 |
+
"with",
|
1991 |
+
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|
1992 |
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|
1993 |
+
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|
1994 |
+
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|
1995 |
+
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|
1996 |
+
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|
1997 |
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|
1998 |
+
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|
1999 |
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|
2000 |
+
"x.X",
|
2001 |
+
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|
2002 |
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|
2003 |
+
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|
2004 |
+
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|
2005 |
+
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|
2006 |
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|
2007 |
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|
2008 |
+
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|
2009 |
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|
2010 |
+
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|
2011 |
+
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|
2012 |
+
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|
2013 |
+
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|
2014 |
+
"xed",
|
2015 |
+
"xx",
|
2016 |
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|
2017 |
+
"xx'x",
|
2018 |
+
"xx'xx",
|
2019 |
+
"xx.",
|
2020 |
+
"xxx",
|
2021 |
+
"xxx xxxx",
|
2022 |
+
"xxx'x",
|
2023 |
+
"xxx/xx",
|
2024 |
+
"xxxx",
|
2025 |
+
"xxxx xxxx",
|
2026 |
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"xxxx'",
|
2027 |
+
"xxxx'x",
|
2028 |
+
"xxxx@",
|
2029 |
+
"xxxx\u2019",
|
2030 |
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"xxxx\u2019x",
|
2031 |
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"xxx\u2019x",
|
2032 |
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"xx\u2019",
|
2033 |
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"xx\u2019x",
|
2034 |
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"xx\u2019xx",
|
2035 |
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"x\u2019",
|
2036 |
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"x\u2019x",
|
2037 |
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"x\u2019xxxx",
|
2038 |
+
"x\ufe35x",
|
2039 |
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"y",
|
2040 |
+
"y'",
|
2041 |
+
"y's",
|
2042 |
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"y.",
|
2043 |
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"yal",
|
2044 |
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"yle",
|
2045 |
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"yoghurt",
|
2046 |
+
"you",
|
2047 |
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"y\u2019",
|
2048 |
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"y\u2019s",
|
2049 |
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"z",
|
2050 |
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"z.",
|
2051 |
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"zed",
|
2052 |
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"zen",
|
2053 |
+
"zero",
|
2054 |
+
"zes",
|
2055 |
+
"|",
|
2056 |
+
"}",
|
2057 |
+
"\u00a0",
|
2058 |
+
"\u00ac",
|
2059 |
+
"\u00ac_\u00ac",
|
2060 |
+
"\u00af",
|
2061 |
+
"\u00af\\(x)/\u00af",
|
2062 |
+
"\u00af\\(\u30c4)/\u00af",
|
2063 |
+
"\u00b0",
|
2064 |
+
"\u00b0C.",
|
2065 |
+
"\u00b0F.",
|
2066 |
+
"\u00b0K.",
|
2067 |
+
"\u00b0X.",
|
2068 |
+
"\u00b0c.",
|
2069 |
+
"\u00b0f.",
|
2070 |
+
"\u00b0k.",
|
2071 |
+
"\u00b0x.",
|
2072 |
+
"\u00e4",
|
2073 |
+
"\u00e4.",
|
2074 |
+
"\u00f6",
|
2075 |
+
"\u00f6.",
|
2076 |
+
"\u00fc",
|
2077 |
+
"\u00fc.",
|
2078 |
+
"\u0ca0",
|
2079 |
+
"\u0ca0_\u0ca0",
|
2080 |
+
"\u0ca0\ufe35\u0ca0",
|
2081 |
+
"\u2014",
|
2082 |
+
"\u2018",
|
2083 |
+
"\u2018S",
|
2084 |
+
"\u2018X",
|
2085 |
+
"\u2018s",
|
2086 |
+
"\u2018x",
|
2087 |
+
"\u2019",
|
2088 |
+
"\u2019-(",
|
2089 |
+
"\u2019-)",
|
2090 |
+
"\u2019Cause",
|
2091 |
+
"\u2019Cos",
|
2092 |
+
"\u2019Coz",
|
2093 |
+
"\u2019Cuz",
|
2094 |
+
"\u2019S",
|
2095 |
+
"\u2019X",
|
2096 |
+
"\u2019Xxx",
|
2097 |
+
"\u2019Xxxxx",
|
2098 |
+
"\u2019am",
|
2099 |
+
"\u2019bout",
|
2100 |
+
"\u2019cause",
|
2101 |
+
"\u2019cos",
|
2102 |
+
"\u2019coz",
|
2103 |
+
"\u2019cuz",
|
2104 |
+
"\u2019d",
|
2105 |
+
"\u2019em",
|
2106 |
+
"\u2019ll",
|
2107 |
+
"\u2019m",
|
2108 |
+
"\u2019nuff",
|
2109 |
+
"\u2019re",
|
2110 |
+
"\u2019s",
|
2111 |
+
"\u2019ve",
|
2112 |
+
"\u2019x",
|
2113 |
+
"\u2019xx",
|
2114 |
+
"\u2019xxx",
|
2115 |
+
"\u2019xxxx",
|
2116 |
+
"\u2019y",
|
2117 |
+
"\u2019\u2019",
|
2118 |
+
"\u2022",
|
2119 |
+
"\u2022$0.12",
|
2120 |
+
"\u2022$0.17",
|
2121 |
+
"\u2022$0.19",
|
2122 |
+
"\u2022$0.23",
|
2123 |
+
"\u2022$0.27",
|
2124 |
+
"\u2022$0.29",
|
2125 |
+
"\u2022$0.43",
|
2126 |
+
"\u2022$0.52",
|
2127 |
+
"\u2022$0.54",
|
2128 |
+
"\u2022$0.62",
|
2129 |
+
"\u2022$0.72",
|
2130 |
+
"\u2022$2.27",
|
2131 |
+
"\u2022$d.dd",
|
2132 |
+
"\u2022Halal",
|
2133 |
+
"\u2022Organic",
|
2134 |
+
"\u2022Xxxxx",
|
2135 |
+
"\u2022halal",
|
2136 |
+
"\u2022organic",
|
2137 |
+
"\u2022xxxx",
|
2138 |
+
"\u2501",
|
2139 |
+
"\u253b",
|
2140 |
+
"\u253b\u2501\u253b",
|
2141 |
+
"\u256f",
|
2142 |
+
"\u25a1",
|
2143 |
+
"\ufe35",
|
2144 |
+
"\uff09"
|
2145 |
+
]
|
vocab/vectors
ADDED
Binary file (128 Bytes). View file
|
|
vocab/vectors.cfg
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"mode":"default"
|
3 |
+
}
|