ytsaig commited on
Commit
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1 Parent(s): a5221f2

Create readability pipeline.

Browse files
.gitattributes CHANGED
@@ -25,3 +25,8 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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+ vectors filter=lfs diff=lfs merge=lfs -text
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+ model filter=lfs diff=lfs merge=lfs -text
README.md ADDED
@@ -0,0 +1,33 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ tags:
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+ - spacy
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+ - text-classification
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+ language:
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+ - en
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+ ---
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+ A Spacy pipeline for generating readability scores
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+
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+ | Feature | Description |
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+ | --- | --- |
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+ | **Name** | `en_readability` |
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+ | **Version** | `0.1` |
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+ | **spaCy** | `>=3.2.1,<3.3.0` |
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+ | **Default Pipeline** | `tok2vec`, `tagger`, `parser`, `attribute_ruler`, `readability` |
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+ | **Components** | `tok2vec`, `tagger`, `parser`, `attribute_ruler`, `readability` |
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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** | [Valurank](www.valurank.com) |
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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 (94 labels for 2 components)</summary>
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+
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+ | Component | Labels |
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+ | --- | --- |
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+ | **`tagger`** | `$`, `''`, `,`, `-LRB-`, `-RRB-`, `.`, `:`, `ADD`, `AFX`, `CC`, `CD`, `DT`, `EX`, `FW`, `HYPH`, `IN`, `JJ`, `JJR`, `JJS`, `LS`, `MD`, `NFP`, `NN`, `NNP`, `NNPS`, `NNS`, `PDT`, `POS`, `PRP`, `PRP$`, `RB`, `RBR`, `RBS`, `RP`, `SYM`, `TO`, `UH`, `VB`, `VBD`, `VBG`, `VBN`, `VBP`, `VBZ`, `WDT`, `WP`, `WP$`, `WRB`, `XX`, ```` |
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+ | **`parser`** | `ROOT`, `acl`, `acomp`, `advcl`, `advmod`, `agent`, `amod`, `appos`, `attr`, `aux`, `auxpass`, `case`, `cc`, `ccomp`, `compound`, `conj`, `csubj`, `csubjpass`, `dative`, `dep`, `det`, `dobj`, `expl`, `intj`, `mark`, `meta`, `neg`, `nmod`, `npadvmod`, `nsubj`, `nsubjpass`, `nummod`, `oprd`, `parataxis`, `pcomp`, `pobj`, `poss`, `preconj`, `predet`, `prep`, `prt`, `punct`, `quantmod`, `relcl`, `xcomp` |
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+
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+ </details>
attribute_ruler/patterns ADDED
Binary file (14.9 kB). View file
 
config.cfg ADDED
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+ [paths]
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+ train = null
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+ dev = null
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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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+ seed = 0
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+ gpu_allocator = null
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+
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+ [nlp]
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+ lang = "en"
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+ pipeline = ["tok2vec","tagger","parser","attribute_ruler","readability"]
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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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+ batch_size = 1000
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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.attribute_ruler]
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+ factory = "attribute_ruler"
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+ scorer = {"@scorers":"spacy.attribute_ruler_scorer.v1"}
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+ validate = false
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+
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+ [components.parser]
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+ factory = "parser"
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+ learn_tokens = false
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+ moves = null
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+ scorer = {"@scorers":"spacy.parser_scorer.v1"}
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+ update_with_oracle_cut_size = 100
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+
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+ [components.parser.model]
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+ @architectures = "spacy.TransitionBasedParser.v2"
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+ state_type = "parser"
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+ maxout_pieces = 2
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+ use_upper = true
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+ nO = null
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+
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+ [components.parser.model.tok2vec]
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+ @architectures = "spacy.Tok2VecListener.v1"
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+ width = 96
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+ upstream = "tok2vec"
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+
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+ [components.readability]
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+ factory = "readability"
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+
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+ [components.tagger]
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+ factory = "tagger"
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+ neg_prefix = "!"
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+ overwrite = false
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+ scorer = {"@scorers":"spacy.tagger_scorer.v1"}
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+
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+ [components.tagger.model]
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+ @architectures = "spacy.Tagger.v1"
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+ nO = null
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+
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+ [components.tagger.model.tok2vec]
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+ @architectures = "spacy.Tok2VecListener.v1"
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+ width = 96
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+ upstream = "tok2vec"
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+
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+ [components.tok2vec]
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+ factory = "tok2vec"
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+ [components.tok2vec.model]
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+ @architectures = "spacy.Tok2Vec.v2"
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+ [components.tok2vec.model.embed]
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+ @architectures = "spacy.MultiHashEmbed.v2"
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+ width = 96
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+ attrs = ["NORM","PREFIX","SUFFIX","SHAPE","SPACY"]
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+ rows = [5000,2500,2500,2500,100]
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+ include_static_vectors = false
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+
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+ [components.tok2vec.model.encode]
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+ @architectures = "spacy.MaxoutWindowEncoder.v2"
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+ width = 96
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+ depth = 4
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+ window_size = 1
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+ maxout_pieces = 3
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+
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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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+ [training]
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+ seed = ${system.seed}
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+ gpu_allocator = ${system.gpu_allocator}
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+ dropout = 0.1
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+ accumulate_gradient = 1
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+ patience = 1600
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+ max_epochs = 0
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+ max_steps = 20000
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+ eval_frequency = 200
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+ frozen_components = []
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+ annotating_components = []
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+ dev_corpus = "corpora.dev"
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+ train_corpus = "corpora.train"
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+ before_to_disk = null
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+ [training.batcher]
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+ @batchers = "spacy.batch_by_words.v1"
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+ discard_oversize = false
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+ tolerance = 0.2
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+ get_length = null
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+ @loggers = "spacy.ConsoleLogger.v1"
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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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+
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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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+ 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]
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+ {
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+ "version":"0.1",
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+ "description":"A Spacy pipeline for generating readability scores",
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+ "author":"Valurank",
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+ "email":"",
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+ "url":"www.valurank.com",
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