github explosion/spacy-models en_core_web_sm-3.0.0a1

pre-release3 years ago

Downloads

Details: https://nightly.spacy.io/models/en#en_core_web_sm

File checksum: 05bf9df87cecd7ab8a672b744ae293a045c1c2ea3402db8ce8bd4a4330c8766c

English pipeline optimized for CPU. Components: tok2vec, tagger, parser, senter, ner, attribute_ruler, lemmatizer.

Feature Description
Name en_core_web_sm
Version 3.0.0a1
spaCy >=3.0.0rc3,<3.1.0
Model size 13 MB
Default Pipeline tok2vec, tagger, parser, ner, attribute_ruler, lemmatizer
Components tok2vec, tagger, parser, senter, ner, attribute_ruler, lemmatizer
Vectors 0 keys, 0 unique vectors (0 dimensions)
Sources OntoNotes 5
License MIT
Author Explosion

Label Scheme

View label scheme (114 labels for 4 components)
Component Labels
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, ````
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
senter I, S
ner CARDINAL, DATE, EVENT, FAC, GPE, LANGUAGE, LAW, LOC, MONEY, NORP, ORDINAL, ORG, PERCENT, PERSON, PRODUCT, QUANTITY, TIME, WORK_OF_ART

Accuracy

Type Score
TOKEN_ACC 99.93
TAG_ACC 97.19
DEP_UAS 91.52
DEP_LAS 89.64
ENTS_P 84.77
ENTS_R 83.47
ENTS_F 84.11
SENTS_P 89.93
SENTS_R 87.16
SENTS_F 88.53

Installation

pip install spacy-nightly --pre
python -m spacy download en_core_web_sm

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