msr10 commited on
Commit
e3dbf3b
1 Parent(s): 8b08c89

Update spaCy pipeline

Browse files
.gitattributes CHANGED
@@ -32,3 +32,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ en_esg_ner-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
README.md ADDED
@@ -0,0 +1,56 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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_esg_ner
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+ results:
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+ - task:
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+ name: NER
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+ type: token-classification
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+ metrics:
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+ - name: NER Precision
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+ type: precision
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+ value: 0.9211469534
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+ - name: NER Recall
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+ type: recall
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+ value: 0.9191702432
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+ - name: NER F Score
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+ type: f_score
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+ value: 0.9201575367
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+ ---
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+ | Feature | Description |
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+ | --- | --- |
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+ | **Name** | `en_esg_ner` |
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+ | **Version** | `0.0.0` |
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+ | **spaCy** | `>=3.5.2,<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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+
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+ ### Label Scheme
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+
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+ <details>
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+
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+ <summary>View label scheme (3 labels for 1 components)</summary>
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+
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+ | Component | Labels |
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+ | --- | --- |
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+ | **`ner`** | `Environmental`, `Governance`, `Social` |
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+
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+ </details>
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+
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+ ### Accuracy
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+
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+ | Type | Score |
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+ | --- | --- |
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+ | `ENTS_F` | 92.02 |
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+ | `ENTS_P` | 92.11 |
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+ | `ENTS_R` | 91.92 |
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+ | `TRANSFORMER_LOSS` | 14719.85 |
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+ | `NER_LOSS` | 10789.72 |
config.cfg ADDED
@@ -0,0 +1,146 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ [paths]
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+ train = "./train.spacy"
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+ dev = "./val.spacy"
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+ vectors = null
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+ init_tok2vec = null
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+
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+ [system]
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+ gpu_allocator = "pytorch"
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+ seed = 0
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+
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+ [nlp]
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+ lang = "en"
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+ pipeline = ["transformer","ner"]
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+ batch_size = 64
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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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+
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+ [components]
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+
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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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+
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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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+
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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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+
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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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+
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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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+
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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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+
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+ [components.transformer.model.grad_scaler_config]
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+
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+ [components.transformer.model.tokenizer_config]
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+ use_fast = true
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+
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+ [components.transformer.model.transformer_config]
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+
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+ [corpora]
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+
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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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+
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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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+
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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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+
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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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+
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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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+
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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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+
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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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+
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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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+
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+ [pretraining]
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+
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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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+
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+ [initialize.components]
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+
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+ [initialize.tokenizer]
en_esg_ner-any-py3-none-any.whl ADDED
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meta.json ADDED
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+ {
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+ "lang":"en",
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+ "name":"esg_ner",
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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":">=3.5.2,<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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+ "name":null
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+ },
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+ "labels":{
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+ "transformer":[
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+
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+ ],
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+ "ner":[
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+ "Environmental",
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+ "Governance",
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+ "Social"
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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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+ ],
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+ "performance":{
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+ "ents_f":0.9201575367,
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+ "ents_p":0.9211469534,
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+ "ents_r":0.9191702432,
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+ "ents_per_type":{
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+ "Social":{
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+ "p":0.9140316206,
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+ "r":0.930583501,
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+ "f":0.9222333001
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+ },
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+ "Environmental":{
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+ "p":0.9347426471,
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+ "r":0.9262295082,
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+ "f":0.9304666057
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+ },
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+ "Governance":{
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+ "p":0.9101449275,
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+ "r":0.8920454545,
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+ "f":0.9010043042
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+ }
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+ },
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+ "transformer_loss":147.1984904523,
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+ "ner_loss":107.8972150742
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+ },
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+ "requirements":[
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+ "spacy-transformers>=1.2.3,<1.3.0"
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+ ]
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+ }
ner/cfg ADDED
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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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+ ],
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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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+ }
ner/model ADDED
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436
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437
+ "Chinese",
438
+ "Chipotle",
439
+ "City",
440
+ "Clean",
441
+ "Climate",
442
+ "Co",
443
+ "Co.",
444
+ "Coca",
445
+ "Cola",
446
+ "Colo",
447
+ "Colo.",
448
+ "Colorado",
449
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450
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451
+ "Conference",
452
+ "Conn",
453
+ "Conn.",
454
+ "Connecticut",
455
+ "Corp",
456
+ "Corp.",
457
+ "Corporate",
458
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459
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460
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461
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462
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463
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464
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465
+ "D.",
466
+ "D.C.",
467
+ "DEF",
468
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469
+ "Danone",
470
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471
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472
+ "Dec.",
473
+ "December",
474
+ "Deepwater",
475
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476
+ "Del.",
477
+ "Delaware",
478
+ "Delta",
479
+ "Denmark",
480
+ "Department",
481
+ "Deutsche",
482
+ "Development",
483
+ "Did",
484
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485
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486
+ "Does",
487
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488
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489
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490
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491
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492
+ "DoorDash",
493
+ "Dr",
494
+ "Dr.",
495
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496
+ "Duke",
497
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498
+ "E.G.",
499
+ "E.ON",
500
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501
+ "E.g.",
502
+ "EDF",
503
+ "ESG",
504
+ "Ecuadorian",
505
+ "Elon",
506
+ "Enbridge",
507
+ "Energy",
508
+ "Enron",
509
+ "Environmental",
510
+ "Equality",
511
+ "European",
512
+ "Exchange",
513
+ "ExxonMobil",
514
+ "F",
515
+ "F.",
516
+ "FCC",
517
+ "Facebook",
518
+ "Fargo",
519
+ "Feb",
520
+ "Feb.",
521
+ "February",
522
+ "Fisker",
523
+ "Fla",
524
+ "Fla.",
525
+ "Florida",
526
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527
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528
+ "Forever",
529
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530
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531
+ "Fund",
532
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533
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534
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535
+ "GW",
536
+ "Ga",
537
+ "Ga.",
538
+ "Gabbana",
539
+ "Games",
540
+ "Gap",
541
+ "Gen",
542
+ "Gen.",
543
+ "General",
544
+ "Georgia",
545
+ "Germany",
546
+ "Gigafactory",
547
+ "Glasgow",
548
+ "GlaxoSmithKline",
549
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550
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551
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552
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553
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554
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555
+ "Goldman",
556
+ "Gon",
557
+ "Google",
558
+ "Got",
559
+ "Gov",
560
+ "Gov.",
561
+ "Governance",
562
+ "Great",
563
+ "Greece",
564
+ "Greenpeace",
565
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566
+ "Gucci",
567
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568
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569
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570
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571
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572
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573
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574
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575
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576
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577
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578
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579
+ "He's",
580
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581
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582
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583
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584
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585
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586
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587
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588
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589
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590
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591
+ "I.e.",
592
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593
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594
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595
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596
+ "Id",
597
+ "Id.",
598
+ "Idaho",
599
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600
+ "Ill.",
601
+ "Illinois",
602
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603
+ "Inc",
604
+ "Inc.",
605
+ "Ind",
606
+ "Ind.",
607
+ "Index",
608
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609
+ "Indiana",
610
+ "Indigenous",
611
+ "Indonesia",
612
+ "Initiative",
613
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614
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615
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616
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617
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618
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619
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620
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621
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622
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623
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624
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625
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626
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627
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628
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629
+ "Japan",
630
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631
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632
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633
+ "Jr.",
634
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635
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636
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637
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638
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639
+ "June",
640
+ "Justice",
641
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642
+ "K.",
643
+ "KFC",
644
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645
+ "Kan.",
646
+ "Kans",
647
+ "Kans.",
648
+ "Kansas",
649
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650
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651
+ "Ky",
652
+ "Ky.",
653
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654
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655
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656
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657
+ "La.",
658
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659
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660
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661
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662
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663
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664
+ "Lines",
665
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666
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667
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668
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669
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670
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671
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672
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673
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674
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675
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676
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677
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678
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679
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680
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681
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682
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683
+ "MW",
684
+ "Ma'am",
685
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686
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687
+ "Malaysian",
688
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689
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690
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691
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692
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693
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694
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695
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696
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697
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698
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699
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700
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701
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702
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703
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704
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705
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706
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707
+ "Mexico",
708
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709
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710
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711
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712
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713
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714
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715
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716
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717
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718
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719
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720
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721
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722
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723
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724
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725
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726
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727
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728
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729
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730
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731
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732
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733
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734
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735
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736
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737
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738
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739
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741
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742
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743
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744
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745
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746
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750
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751
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752
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753
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+ "Nebraska",
755
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756
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757
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758
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759
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760
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761
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762
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763
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764
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765
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766
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767
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768
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769
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770
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771
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772
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773
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774
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780
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781
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782
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783
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784
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785
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787
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788
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789
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791
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792
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793
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794
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796
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797
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798
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799
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800
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801
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802
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804
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805
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806
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807
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808
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810
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811
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812
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813
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814
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815
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816
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817
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818
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819
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820
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822
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823
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824
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825
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826
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827
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830
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832
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833
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834
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835
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836
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837
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838
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839
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840
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841
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842
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843
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846
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847
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848
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850
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851
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852
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853
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854
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855
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856
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857
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858
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859
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860
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861
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862
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863
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864
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866
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867
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869
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870
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871
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872
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873
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874
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875
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876
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877
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878
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879
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880
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881
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882
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883
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884
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885
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886
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887
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888
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889
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906
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907
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908
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909
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910
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911
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912
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915
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924
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925
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2933
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2934
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3038
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3039
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3041
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3042
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3043
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3046
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3047
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3049
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3052
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3053
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3054
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3055
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3059
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3060
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3061
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3062
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3063
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3064
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3065
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3066
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3067
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3068
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3069
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3070
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3073
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3075
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3081
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3082
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3083
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3101
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3110
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3112
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3118
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3119
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3122
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3137
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3141
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3142
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3143
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3201
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3212
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3216
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3222
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3223
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3228
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3229
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3233
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3243
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3248
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3249
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3264
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3267
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3330
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3332
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3360
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3534
+ "treatment",
3535
+ "trial",
3536
+ "trials",
3537
+ "trillion",
3538
+ "trouble",
3539
+ "trump",
3540
+ "trust",
3541
+ "try",
3542
+ "turbines",
3543
+ "tweets",
3544
+ "twitter",
3545
+ "t\u2019s",
3546
+ "u",
3547
+ "u.",
3548
+ "ual",
3549
+ "uber",
3550
+ "uce",
3551
+ "uch",
3552
+ "uct",
3553
+ "ude",
3554
+ "udy",
3555
+ "ued",
3556
+ "uel",
3557
+ "ues",
3558
+ "uff",
3559
+ "ug.",
3560
+ "ugh",
3561
+ "ugs",
3562
+ "uit",
3563
+ "uk",
3564
+ "uke",
3565
+ "ul.",
3566
+ "ula",
3567
+ "uld",
3568
+ "ulf",
3569
+ "ult",
3570
+ "ultimately",
3571
+ "ume",
3572
+ "ump",
3573
+ "un.",
3574
+ "unaffordable",
3575
+ "uncovered",
3576
+ "und",
3577
+ "under",
3578
+ "underpaying",
3579
+ "underprivileged",
3580
+ "underrepresented",
3581
+ "underserved",
3582
+ "understand",
3583
+ "unequal",
3584
+ "unethical",
3585
+ "unfair",
3586
+ "ung",
3587
+ "unhealthy",
3588
+ "unilever",
3589
+ "union",
3590
+ "unionization",
3591
+ "united",
3592
+ "units",
3593
+ "university",
3594
+ "unrealistic",
3595
+ "unsafe",
3596
+ "unsold",
3597
+ "unsustainable",
3598
+ "unt",
3599
+ "up",
3600
+ "upper",
3601
+ "ups",
3602
+ "upt",
3603
+ "urban",
3604
+ "ure",
3605
+ "urgent",
3606
+ "urs",
3607
+ "us",
3608
+ "usage",
3609
+ "use",
3610
+ "used",
3611
+ "user",
3612
+ "users",
3613
+ "uses",
3614
+ "ush",
3615
+ "using",
3616
+ "usk",
3617
+ "uss",
3618
+ "ust",
3619
+ "ute",
3620
+ "uth",
3621
+ "utility",
3622
+ "uto",
3623
+ "uty",
3624
+ "v",
3625
+ "v.",
3626
+ "v.s",
3627
+ "v.s.",
3628
+ "v.v",
3629
+ "v_v",
3630
+ "va",
3631
+ "va.",
3632
+ "vaccine",
3633
+ "value",
3634
+ "vanguard",
3635
+ "various",
3636
+ "ve",
3637
+ "ved",
3638
+ "vehicle",
3639
+ "vehicles",
3640
+ "vel",
3641
+ "ver",
3642
+ "verizon",
3643
+ "ves",
3644
+ "vey",
3645
+ "vil",
3646
+ "vin",
3647
+ "violate",
3648
+ "violated",
3649
+ "violating",
3650
+ "violation",
3651
+ "violations",
3652
+ "vioxx",
3653
+ "virginia",
3654
+ "vocal",
3655
+ "voices",
3656
+ "volkswagen",
3657
+ "volume",
3658
+ "vor",
3659
+ "voting",
3660
+ "vs",
3661
+ "vs.",
3662
+ "vulnerable",
3663
+ "w",
3664
+ "w's",
3665
+ "w.",
3666
+ "w/o",
3667
+ "wage",
3668
+ "wages",
3669
+ "walmart",
3670
+ "warehouse",
3671
+ "warehouses",
3672
+ "warming",
3673
+ "warned",
3674
+ "warning",
3675
+ "was",
3676
+ "wash",
3677
+ "wash.",
3678
+ "waste",
3679
+ "wasteful",
3680
+ "wastewater",
3681
+ "water",
3682
+ "way",
3683
+ "ways",
3684
+ "we",
3685
+ "weak",
3686
+ "wealth",
3687
+ "wearing",
3688
+ "wed",
3689
+ "wei",
3690
+ "welfare",
3691
+ "well",
3692
+ "wellness",
3693
+ "wells",
3694
+ "went",
3695
+ "wer",
3696
+ "were",
3697
+ "west",
3698
+ "western",
3699
+ "what",
3700
+ "what's",
3701
+ "what\u2019s",
3702
+ "when",
3703
+ "when's",
3704
+ "when\u2019s",
3705
+ "where",
3706
+ "where's",
3707
+ "where\u2019s",
3708
+ "which",
3709
+ "while",
3710
+ "whistleblower",
3711
+ "white",
3712
+ "who",
3713
+ "who's",
3714
+ "who\u2019s",
3715
+ "why",
3716
+ "why's",
3717
+ "why\u2019s",
3718
+ "wide",
3719
+ "widely",
3720
+ "widespread",
3721
+ "wildfires",
3722
+ "wildlife",
3723
+ "will",
3724
+ "willing",
3725
+ "wind",
3726
+ "wis",
3727
+ "wis.",
3728
+ "with",
3729
+ "within",
3730
+ "without",
3731
+ "wo",
3732
+ "women",
3733
+ "work",
3734
+ "worked",
3735
+ "worker",
3736
+ "workers",
3737
+ "workforce",
3738
+ "working",
3739
+ "workplace",
3740
+ "works",
3741
+ "world",
3742
+ "worldwide",
3743
+ "would",
3744
+ "w\u2019s",
3745
+ "x",
3746
+ "x&x",
3747
+ "x'",
3748
+ "x'x",
3749
+ "x'xxxx",
3750
+ "x.",
3751
+ "x.X",
3752
+ "x.d",
3753
+ "x.x",
3754
+ "x.x.",
3755
+ "x.xx",
3756
+ "x/x",
3757
+ "xD",
3758
+ "xDD",
3759
+ "xX",
3760
+ "xXX",
3761
+ "x_X",
3762
+ "x_d",
3763
+ "x_x",
3764
+ "xas",
3765
+ "xd",
3766
+ "xdd",
3767
+ "xes",
3768
+ "xic",
3769
+ "xx",
3770
+ "xx&x",
3771
+ "xx'",
3772
+ "xx'x",
3773
+ "xx'xx",
3774
+ "xx.",
3775
+ "xxx",
3776
+ "xxx'x",
3777
+ "xxx.",
3778
+ "xxx/xx",
3779
+ "xxxdd",
3780
+ "xxxx",
3781
+ "xxxx'",
3782
+ "xxxx'x",
3783
+ "xxxx-dd",
3784
+ "xxxx\u2019",
3785
+ "xxxx\u2019x",
3786
+ "xxx\u2019x",
3787
+ "xx\u2019",
3788
+ "xx\u2019x",
3789
+ "xx\u2019xx",
3790
+ "xyz",
3791
+ "x\u2019",
3792
+ "x\u2019x",
3793
+ "x\u2019xxxx",
3794
+ "x\ufe35x",
3795
+ "y",
3796
+ "y'",
3797
+ "y's",
3798
+ "y.",
3799
+ "year",
3800
+ "years",
3801
+ "yed",
3802
+ "yee",
3803
+ "yft",
3804
+ "yle",
3805
+ "york",
3806
+ "you",
3807
+ "young",
3808
+ "y\u2019",
3809
+ "y\u2019s",
3810
+ "z",
3811
+ "z.",
3812
+ "zalando",
3813
+ "zara",
3814
+ "zed",
3815
+ "zer",
3816
+ "zero",
3817
+ "zes",
3818
+ "zil",
3819
+ "zon",
3820
+ "zos",
3821
+ "|",
3822
+ "}",
3823
+ "\u00a0",
3824
+ "\u00ac",
3825
+ "\u00ac_\u00ac",
3826
+ "\u00af",
3827
+ "\u00af\\(x)/\u00af",
3828
+ "\u00af\\(\u30c4)/\u00af",
3829
+ "\u00b0",
3830
+ "\u00b0C.",
3831
+ "\u00b0F.",
3832
+ "\u00b0K.",
3833
+ "\u00b0X.",
3834
+ "\u00b0c.",
3835
+ "\u00b0f.",
3836
+ "\u00b0k.",
3837
+ "\u00b0x.",
3838
+ "\u00e4",
3839
+ "\u00e4.",
3840
+ "\u00f6",
3841
+ "\u00f6.",
3842
+ "\u00fc",
3843
+ "\u00fc.",
3844
+ "\u0ca0",
3845
+ "\u0ca0_\u0ca0",
3846
+ "\u0ca0\ufe35\u0ca0",
3847
+ "\u2014",
3848
+ "\u2018",
3849
+ "\u2018S",
3850
+ "\u2018X",
3851
+ "\u2018s",
3852
+ "\u2018x",
3853
+ "\u2019",
3854
+ "\u2019-(",
3855
+ "\u2019-)",
3856
+ "\u2019Cause",
3857
+ "\u2019Cos",
3858
+ "\u2019Coz",
3859
+ "\u2019Cuz",
3860
+ "\u2019S",
3861
+ "\u2019X",
3862
+ "\u2019Xxx",
3863
+ "\u2019Xxxxx",
3864
+ "\u2019am",
3865
+ "\u2019bout",
3866
+ "\u2019cause",
3867
+ "\u2019cos",
3868
+ "\u2019coz",
3869
+ "\u2019cuz",
3870
+ "\u2019d",
3871
+ "\u2019em",
3872
+ "\u2019ll",
3873
+ "\u2019m",
3874
+ "\u2019nuff",
3875
+ "\u2019re",
3876
+ "\u2019s",
3877
+ "\u2019ve",
3878
+ "\u2019x",
3879
+ "\u2019xx",
3880
+ "\u2019xxx",
3881
+ "\u2019xxxx",
3882
+ "\u2019y",
3883
+ "\u2019\u2019",
3884
+ "\u2501",
3885
+ "\u253b",
3886
+ "\u253b\u2501\u253b",
3887
+ "\u256f",
3888
+ "\u25a1",
3889
+ "\ufe35",
3890
+ "\uff09"
3891
+ ]
vocab/vectors ADDED
Binary file (128 Bytes). View file
 
vocab/vectors.cfg ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ {
2
+ "mode":"default"
3
+ }