Commit
•
c4e59a7
1
Parent(s):
3071c6b
Upload 13 files
Browse files- .gitattributes +1 -0
- config.cfg +146 -0
- meta.json +70 -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 +1682 -0
- vocab/vectors +0 -0
- vocab/vectors.cfg +3 -0
.gitattributes
CHANGED
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@@ -32,3 +32,4 @@ 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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transformer/model filter=lfs diff=lfs merge=lfs -text
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config.cfg
ADDED
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@@ -0,0 +1,146 @@
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[paths]
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train = "training_data.spacy"
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dev = "training_data.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 = 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 = 20000
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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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meta.json
ADDED
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@@ -0,0 +1,70 @@
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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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"spacy_version":">=3.5.1,<3.6.0",
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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_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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"mode":"default"
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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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"INVOICE_ADDRESS",
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"INVOICE_DATE",
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"INVOICE_NUMBER",
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"TOTAL_PRICE"
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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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| 42 |
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"ents_f":0.0,
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"ents_p":0.0,
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"ents_r":0.0,
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"ents_per_type":{
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"INVOICE_ADDRESS":{
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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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"INVOICE_DATE":{
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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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"INVOICE_NUMBER":{
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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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"TOTAL_PRICE":{
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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":255.4410021305,
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"ner_loss":47815.1849392354
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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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| 11 |
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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
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Binary file (226 kB). View file
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ner/moves
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��moves�P{"0":{},"1":{"INVOICE_ADDRESS":5,"TOTAL_PRICE":3,"INVOICE_DATE":2,"INVOICE_NUMBER":1},"2":{"INVOICE_ADDRESS":5,"TOTAL_PRICE":3,"INVOICE_DATE":2,"INVOICE_NUMBER":1},"3":{"INVOICE_ADDRESS":5,"TOTAL_PRICE":3,"INVOICE_DATE":2,"INVOICE_NUMBER":1},"4":{"INVOICE_ADDRESS":5,"TOTAL_PRICE":3,"INVOICE_DATE":2,"INVOICE_NUMBER":1,"":1},"5":{"":1}}�cfg��neg_key�
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tokenizer
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+
��prefix_search� 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|
| 1 |
+
[
|
| 2 |
+
"\t",
|
| 3 |
+
"\n",
|
| 4 |
+
"\r",
|
| 5 |
+
"\r\n",
|
| 6 |
+
"\r\n ",
|
| 7 |
+
"\r\n ",
|
| 8 |
+
"\r\n ",
|
| 9 |
+
"\r\n ",
|
| 10 |
+
"\r\n ",
|
| 11 |
+
"\r\n \r\n ",
|
| 12 |
+
"\r\n \r\n \r\n ",
|
| 13 |
+
" ",
|
| 14 |
+
" \r\n",
|
| 15 |
+
" ",
|
| 16 |
+
" ",
|
| 17 |
+
" \r\n ",
|
| 18 |
+
" \r\n \r\n ",
|
| 19 |
+
" ",
|
| 20 |
+
" \r\n",
|
| 21 |
+
" \r\n ",
|
| 22 |
+
" ",
|
| 23 |
+
" ",
|
| 24 |
+
" ",
|
| 25 |
+
" ",
|
| 26 |
+
" ",
|
| 27 |
+
" ",
|
| 28 |
+
" ",
|
| 29 |
+
" ",
|
| 30 |
+
" \r\n ",
|
| 31 |
+
" \r\n ",
|
| 32 |
+
" ",
|
| 33 |
+
" ",
|
| 34 |
+
" \r\n ",
|
| 35 |
+
" ",
|
| 36 |
+
" ",
|
| 37 |
+
" \r\n",
|
| 38 |
+
" ",
|
| 39 |
+
" ",
|
| 40 |
+
" \r\n \r\n ",
|
| 41 |
+
" \r\n \r\n \r\n \r\n \r\n \r\n ",
|
| 42 |
+
" \r\n ",
|
| 43 |
+
" ",
|
| 44 |
+
" ",
|
| 45 |
+
" \r\n \r\n ",
|
| 46 |
+
" \r\n ",
|
| 47 |
+
" ",
|
| 48 |
+
" \r\n",
|
| 49 |
+
" \r\n ",
|
| 50 |
+
" \r\n ",
|
| 51 |
+
" \r\n ",
|
| 52 |
+
" \r\n",
|
| 53 |
+
" \r\n",
|
| 54 |
+
" \r\n",
|
| 55 |
+
" \r\n",
|
| 56 |
+
" \r\n",
|
| 57 |
+
" \r\n \r\n",
|
| 58 |
+
" \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n ",
|
| 59 |
+
" \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n ",
|
| 60 |
+
" \r\n \r\n ",
|
| 61 |
+
"\"",
|
| 62 |
+
"%",
|
| 63 |
+
"'",
|
| 64 |
+
"''",
|
| 65 |
+
"'-(",
|
| 66 |
+
"'-)",
|
| 67 |
+
"'Cause",
|
| 68 |
+
"'Cos",
|
| 69 |
+
"'Coz",
|
| 70 |
+
"'Cuz",
|
| 71 |
+
"'S",
|
| 72 |
+
"'X",
|
| 73 |
+
"'Xxx",
|
| 74 |
+
"'Xxxxx",
|
| 75 |
+
"'am",
|
| 76 |
+
"'bout",
|
| 77 |
+
"'cause",
|
| 78 |
+
"'cos",
|
| 79 |
+
"'coz",
|
| 80 |
+
"'cuz",
|
| 81 |
+
"'d",
|
| 82 |
+
"'em",
|
| 83 |
+
"'ll",
|
| 84 |
+
"'m",
|
| 85 |
+
"'nuff",
|
| 86 |
+
"'re",
|
| 87 |
+
"'s",
|
| 88 |
+
"'ve",
|
| 89 |
+
"'x",
|
| 90 |
+
"'xx",
|
| 91 |
+
"'xxx",
|
| 92 |
+
"'xxxx",
|
| 93 |
+
"'y",
|
| 94 |
+
"(",
|
| 95 |
+
"(((",
|
| 96 |
+
"(*>",
|
| 97 |
+
"(*_*)",
|
| 98 |
+
"(-8",
|
| 99 |
+
"(-:",
|
| 100 |
+
"(-;",
|
| 101 |
+
"(-_-)",
|
| 102 |
+
"(-d",
|
| 103 |
+
"(._.)",
|
| 104 |
+
"(:",
|
| 105 |
+
"(;",
|
| 106 |
+
"(=",
|
| 107 |
+
"(>_<)",
|
| 108 |
+
"(^_^)",
|
| 109 |
+
"(en",
|
| 110 |
+
"(o:",
|
| 111 |
+
"(x:",
|
| 112 |
+
"(x_x)",
|
| 113 |
+
"(\u00ac_\u00ac)",
|
| 114 |
+
"(\u0ca0_\u0ca0)",
|
| 115 |
+
"(\u256f\u00b0\u25a1\u00b0\uff09\u256f\ufe35\u253b\u2501\u253b",
|
| 116 |
+
")",
|
| 117 |
+
")))",
|
| 118 |
+
")-:",
|
| 119 |
+
")/\u00af",
|
| 120 |
+
"):",
|
| 121 |
+
"*",
|
| 122 |
+
"+",
|
| 123 |
+
"+++",
|
| 124 |
+
"+021/0001/89802+++",
|
| 125 |
+
"+32(0)470",
|
| 126 |
+
"+32(0)475",
|
| 127 |
+
"+dd(d)ddd",
|
| 128 |
+
"+ddd/dddd/dddd+++",
|
| 129 |
+
",",
|
| 130 |
+
",00",
|
| 131 |
+
",68",
|
| 132 |
+
"-",
|
| 133 |
+
"-((",
|
| 134 |
+
"-))",
|
| 135 |
+
"-/",
|
| 136 |
+
"-0",
|
| 137 |
+
"-3",
|
| 138 |
+
"-8",
|
| 139 |
+
"-D",
|
| 140 |
+
"-O",
|
| 141 |
+
"-P",
|
| 142 |
+
"-X",
|
| 143 |
+
"-_-",
|
| 144 |
+
"-__-",
|
| 145 |
+
"-d",
|
| 146 |
+
"-o",
|
| 147 |
+
"-p",
|
| 148 |
+
"-x",
|
| 149 |
+
"-|",
|
| 150 |
+
".",
|
| 151 |
+
".C.",
|
| 152 |
+
".D.",
|
| 153 |
+
".E.",
|
| 154 |
+
".G.",
|
| 155 |
+
".H.",
|
| 156 |
+
".J.",
|
| 157 |
+
".M.",
|
| 158 |
+
".Y.",
|
| 159 |
+
"._.",
|
| 160 |
+
".be",
|
| 161 |
+
".e.",
|
| 162 |
+
".g.",
|
| 163 |
+
".m.",
|
| 164 |
+
".s.",
|
| 165 |
+
"/",
|
| 166 |
+
"/3",
|
| 167 |
+
"/d",
|
| 168 |
+
"/or",
|
| 169 |
+
"0",
|
| 170 |
+
"0,00",
|
| 171 |
+
"0.0",
|
| 172 |
+
"0.o",
|
| 173 |
+
"000",
|
| 174 |
+
"0016",
|
| 175 |
+
"007",
|
| 176 |
+
"016",
|
| 177 |
+
"021",
|
| 178 |
+
"0762",
|
| 179 |
+
"08101000",
|
| 180 |
+
"0_0",
|
| 181 |
+
"0_o",
|
| 182 |
+
"1",
|
| 183 |
+
"1.975,68",
|
| 184 |
+
"10",
|
| 185 |
+
"10a.m",
|
| 186 |
+
"10a.m.",
|
| 187 |
+
"10p.m",
|
| 188 |
+
"10p.m.",
|
| 189 |
+
"11",
|
| 190 |
+
"11a.m",
|
| 191 |
+
"11a.m.",
|
| 192 |
+
"11p.m",
|
| 193 |
+
"11p.m.",
|
| 194 |
+
"12",
|
| 195 |
+
"12a.m",
|
| 196 |
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+
"Nebr.",
|
| 677 |
+
"Nebraska",
|
| 678 |
+
"Need",
|
| 679 |
+
"Net",
|
| 680 |
+
"Nev",
|
| 681 |
+
"Nev.",
|
| 682 |
+
"Nevada",
|
| 683 |
+
"New Hampshire",
|
| 684 |
+
"New Jersey",
|
| 685 |
+
"New Mexico",
|
| 686 |
+
"New York",
|
| 687 |
+
"North Carolina",
|
| 688 |
+
"North Dakota",
|
| 689 |
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"Not",
|
| 690 |
+
"Nothin",
|
| 691 |
+
"Nothin'",
|
| 692 |
+
"Nothin\u2019",
|
| 693 |
+
"Nov",
|
| 694 |
+
"Nov.",
|
| 695 |
+
"November",
|
| 696 |
+
"Nr",
|
| 697 |
+
"Nuthin",
|
| 698 |
+
"Nuthin'",
|
| 699 |
+
"Nuthin\u2019",
|
| 700 |
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"O",
|
| 701 |
+
"O'clock",
|
| 702 |
+
"O,00",
|
| 703 |
+
"O.O",
|
| 704 |
+
"O.o",
|
| 705 |
+
"O2",
|
| 706 |
+
"ODE",
|
| 707 |
+
"OF",
|
| 708 |
+
"ORD",
|
| 709 |
+
"ORI",
|
| 710 |
+
"ORIGIN",
|
| 711 |
+
"OTHERWISE",
|
| 712 |
+
"O_O",
|
| 713 |
+
"O_o",
|
| 714 |
+
"Oct",
|
| 715 |
+
"Oct.",
|
| 716 |
+
"October",
|
| 717 |
+
"Okla",
|
| 718 |
+
"Okla.",
|
| 719 |
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"Oklahoma",
|
| 720 |
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"Ol",
|
| 721 |
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"Ol'",
|
| 722 |
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"Ol\u2019",
|
| 723 |
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"Ore",
|
| 724 |
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"Ore.",
|
| 725 |
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"Oregon",
|
| 726 |
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"Orientation:0",
|
| 727 |
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"Ouantity",
|
| 728 |
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"Ought",
|
| 729 |
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"O\u2019clock",
|
| 730 |
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"P",
|
| 731 |
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"PREFERENTIAL",
|
| 732 |
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"PRODUCE",
|
| 733 |
+
"PRODUCS",
|
| 734 |
+
"PRODUCTS",
|
| 735 |
+
"Pa",
|
| 736 |
+
"Pa.",
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| 737 |
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"Paribas",
|
| 738 |
+
"Pennsylvania",
|
| 739 |
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"Ph",
|
| 740 |
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"Ph.D.",
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| 741 |
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"Please",
|
| 742 |
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"Pr",
|
| 743 |
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"Prof",
|
| 744 |
+
"Prof.",
|
| 745 |
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"R",
|
| 746 |
+
"RED",
|
| 747 |
+
"REFERENCE",
|
| 748 |
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"RES",
|
| 749 |
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"RLY",
|
| 750 |
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"ROOT",
|
| 751 |
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"Relationship",
|
| 752 |
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"Rep",
|
| 753 |
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"Rep.",
|
| 754 |
+
"Rev",
|
| 755 |
+
"Rev.",
|
| 756 |
+
"Reverse",
|
| 757 |
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"S",
|
| 758 |
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"S.C.",
|
| 759 |
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"STREET",
|
| 760 |
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"Sen",
|
| 761 |
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"Sen.",
|
| 762 |
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"Sep",
|
| 763 |
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"Sep.",
|
| 764 |
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"Sept",
|
| 765 |
+
"Sept.",
|
| 766 |
+
"September",
|
| 767 |
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"Sha",
|
| 768 |
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"She",
|
| 769 |
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"She's",
|
| 770 |
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"She\u2019s",
|
| 771 |
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"Should",
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| 772 |
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"Somethin",
|
| 773 |
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"Somethin'",
|
| 774 |
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"Somethin\u2019",
|
| 775 |
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"South Carolina",
|
| 776 |
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"Sr",
|
| 777 |
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"St",
|
| 778 |
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"St.",
|
| 779 |
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"Strawberries",
|
| 780 |
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"T",
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| 781 |
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"TAL",
|
| 782 |
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"TED",
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| 783 |
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"TER",
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"THAT",
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| 785 |
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"THE",
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| 786 |
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"THESE",
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| 787 |
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"THIS",
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| 788 |
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"TOTAL",
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| 789 |
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"TOTAL_PRICE",
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| 790 |
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"T_otal",
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| 791 |
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"Tenn",
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| 792 |
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"Tenn.",
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| 793 |
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"Tennessee",
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| 794 |
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"That",
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| 795 |
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"That's",
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| 796 |
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"That\u2019s",
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| 797 |
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"There",
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| 798 |
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"There's",
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| 799 |
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"There\u2019s",
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| 800 |
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"These",
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| 801 |
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"They",
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| 802 |
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"This",
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| 803 |
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| 804 |
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| 805 |
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"Those",
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| 806 |
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"Total",
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"U",
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"UCE",
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"UCLAFRU",
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| 810 |
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| 811 |
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"UNION",
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| 812 |
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"Unit",
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| 813 |
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| 814 |
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"V.V",
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| 815 |
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"V11898",
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| 816 |
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"VAI",
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| 817 |
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"VAT",
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| 818 |
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"V_V",
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| 819 |
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"Va",
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| 820 |
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"Va.",
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| 821 |
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"Vanrysselberghe",
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| 822 |
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"Virginia",
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| 823 |
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"WHERE",
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"Was",
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| 826 |
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"Wash",
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| 827 |
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"Wash.",
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| 828 |
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"Washington",
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| 829 |
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"We",
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| 830 |
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"Were",
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| 831 |
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"What's",
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| 834 |
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"When",
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"When's",
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"When\u2019s",
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| 837 |
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"Where",
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| 838 |
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"Where's",
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| 839 |
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"Where\u2019s",
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| 840 |
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"Who",
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"Who\u2019s",
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"Width:2479",
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| 848 |
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"Wisconsin",
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| 850 |
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"Wo",
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| 851 |
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"X'x",
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"X++",
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"X,dd",
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"X.",
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| 857 |
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| 858 |
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| 859 |
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| 860 |
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"X.x.",
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| 861 |
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"XD",
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| 862 |
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"XDD",
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| 863 |
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| 864 |
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"XXX",
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| 865 |
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"XXX:ddd",
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| 866 |
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"XXXX",
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"Xd",
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"Xdddd",
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| 878 |
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"Xx'",
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"Xx'x",
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"Xx'xx",
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"Xx.",
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"Xx.X.",
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| 883 |
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"Xxx",
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"Xxx'x",
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"Xxxx",
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"Xxxx'",
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"Xxxx.",
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"Xxxxx",
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"Xxxxx'",
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| 894 |
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"Xxxxx\u2019",
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| 898 |
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"Xxxxx\u2019x",
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| 899 |
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"Xxxx\u2019",
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| 900 |
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"Xxxx\u2019x",
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| 901 |
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"Xxx\u2019x",
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| 902 |
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"Xx\u2019",
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| 903 |
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"Xx\u2019x",
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| 904 |
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"Xx\u2019xx",
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| 905 |
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"X\u2019x",
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| 906 |
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"X\u2019xxxx",
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| 907 |
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"Y",
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| 908 |
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"You",
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"[",
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"[=",
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"]",
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"]=",
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| 921 |
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"^___^",
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"_*)",
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"_-)",
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"_.)",
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| 927 |
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"_<)",
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"_^)",
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"ala.",
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"ase",
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"[email protected]",
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| 1100 |
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|
| 1589 |
+
"xxxx:dddd",
|
| 1590 |
+
"[email protected]",
|
| 1591 |
+
"xxxxdddd",
|
| 1592 |
+
"xxxx\u2019",
|
| 1593 |
+
"xxxx\u2019x",
|
| 1594 |
+
"xxx\u2019x",
|
| 1595 |
+
"xx\u2019",
|
| 1596 |
+
"xx\u2019x",
|
| 1597 |
+
"xx\u2019xx",
|
| 1598 |
+
"x\u2019",
|
| 1599 |
+
"x\u2019x",
|
| 1600 |
+
"x\u2019xxxx",
|
| 1601 |
+
"x\ufe35x",
|
| 1602 |
+
"y",
|
| 1603 |
+
"y'",
|
| 1604 |
+
"y's",
|
| 1605 |
+
"y.",
|
| 1606 |
+
"you",
|
| 1607 |
+
"y\u2019",
|
| 1608 |
+
"y\u2019s",
|
| 1609 |
+
"z",
|
| 1610 |
+
"z.",
|
| 1611 |
+
"|",
|
| 1612 |
+
"}",
|
| 1613 |
+
"\u00a0",
|
| 1614 |
+
"\u00ac",
|
| 1615 |
+
"\u00ac_\u00ac",
|
| 1616 |
+
"\u00af",
|
| 1617 |
+
"\u00af\\(x)/\u00af",
|
| 1618 |
+
"\u00af\\(\u30c4)/\u00af",
|
| 1619 |
+
"\u00b0",
|
| 1620 |
+
"\u00b0C.",
|
| 1621 |
+
"\u00b0F.",
|
| 1622 |
+
"\u00b0K.",
|
| 1623 |
+
"\u00b0X.",
|
| 1624 |
+
"\u00b0c.",
|
| 1625 |
+
"\u00b0f.",
|
| 1626 |
+
"\u00b0k.",
|
| 1627 |
+
"\u00b0x.",
|
| 1628 |
+
"\u00e4",
|
| 1629 |
+
"\u00e4.",
|
| 1630 |
+
"\u00f6",
|
| 1631 |
+
"\u00f6.",
|
| 1632 |
+
"\u00fc",
|
| 1633 |
+
"\u00fc.",
|
| 1634 |
+
"\u0ca0",
|
| 1635 |
+
"\u0ca0_\u0ca0",
|
| 1636 |
+
"\u0ca0\ufe35\u0ca0",
|
| 1637 |
+
"\u2014",
|
| 1638 |
+
"\u2018",
|
| 1639 |
+
"\u2018S",
|
| 1640 |
+
"\u2018X",
|
| 1641 |
+
"\u2018s",
|
| 1642 |
+
"\u2018x",
|
| 1643 |
+
"\u2019",
|
| 1644 |
+
"\u2019-(",
|
| 1645 |
+
"\u2019-)",
|
| 1646 |
+
"\u2019Cause",
|
| 1647 |
+
"\u2019Cos",
|
| 1648 |
+
"\u2019Coz",
|
| 1649 |
+
"\u2019Cuz",
|
| 1650 |
+
"\u2019S",
|
| 1651 |
+
"\u2019X",
|
| 1652 |
+
"\u2019Xxx",
|
| 1653 |
+
"\u2019Xxxxx",
|
| 1654 |
+
"\u2019am",
|
| 1655 |
+
"\u2019bout",
|
| 1656 |
+
"\u2019cause",
|
| 1657 |
+
"\u2019cos",
|
| 1658 |
+
"\u2019coz",
|
| 1659 |
+
"\u2019cuz",
|
| 1660 |
+
"\u2019d",
|
| 1661 |
+
"\u2019em",
|
| 1662 |
+
"\u2019ll",
|
| 1663 |
+
"\u2019m",
|
| 1664 |
+
"\u2019nuff",
|
| 1665 |
+
"\u2019re",
|
| 1666 |
+
"\u2019s",
|
| 1667 |
+
"\u2019ve",
|
| 1668 |
+
"\u2019x",
|
| 1669 |
+
"\u2019xx",
|
| 1670 |
+
"\u2019xxx",
|
| 1671 |
+
"\u2019xxxx",
|
| 1672 |
+
"\u2019y",
|
| 1673 |
+
"\u2019\u2019",
|
| 1674 |
+
"\u2022",
|
| 1675 |
+
"\u2501",
|
| 1676 |
+
"\u253b",
|
| 1677 |
+
"\u253b\u2501\u253b",
|
| 1678 |
+
"\u256f",
|
| 1679 |
+
"\u25a1",
|
| 1680 |
+
"\ufe35",
|
| 1681 |
+
"\uff09"
|
| 1682 |
+
]
|
vocab/vectors
ADDED
|
Binary file (128 Bytes). View file
|
|
|
vocab/vectors.cfg
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"mode":"default"
|
| 3 |
+
}
|