Spacy model uploaded to PyPi. All credits go to the original devs.
English pipeline optimized for CPU.
Components:
- tok2vec
- tagger
- parser
- senter
- ner
- attribute_ruler
- lemmatizer.
| Feature | Description |
|---|---|
| Name | en_core_web_sm_vbspacy |
| Version | 3.8.0 |
| spaCy | >=3.7.5,<3.9.0 |
| Default Pipeline | tok2vec, tagger, parser, attribute_ruler, lemmatizer, ner |
| Components | tok2vec, tagger, parser, senter, attribute_ruler, lemmatizer, ner |
| Vectors | 0 keys, 0 unique vectors (0 dimensions) |
| Sources | OntoNotes 5 (Ralph Weischedel, Martha Palmer, Mitchell Marcus, Eduard Hovy, Sameer Pradhan, Lance Ramshaw, Nianwen Xue, Ann Taylor, Jeff Kaufman, Michelle Franchini, Mohammed El-Bachouti, Robert Belvin, Ann Houston) ClearNLP Constituent-to-Dependency Conversion (Emory University) WordNet 3.0 (Princeton University) |
| License | MIT |
| Author | Explosion |
Label Scheme
View label scheme (113 labels for 3 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, _SP, ```` |
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 |
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 |
99.86 |
TOKEN_P |
99.57 |
TOKEN_R |
99.58 |
TOKEN_F |
99.57 |
TAG_ACC |
97.29 |
SENTS_P |
92.01 |
SENTS_R |
89.39 |
SENTS_F |
90.68 |
DEP_UAS |
91.77 |
DEP_LAS |
89.92 |
ENTS_P |
84.30 |
ENTS_R |
84.36 |
ENTS_F |
84.33 |
Metadata
Release files for en-core-web-sm-vbspacy 3.8.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| en_core_web_sm_vbspacy-3.8.0.tar.gz | 12.8 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| en_core_web_sm_vbspacy-3.8.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 25.6 MB
Release files / en_core_web_sm_vbspacy-3.8.0.tar.gz
| Download URL | en_core_web_sm_vbspacy-3.8.0.tar.gz |
|---|---|
| Size | 12.8 MB |
| Tags | Source |
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Release files / en_core_web_sm_vbspacy-3.8.0-py3-none-any.whl
| Download URL | en_core_web_sm_vbspacy-3.8.0-py3-none-any.whl |
|---|---|
| Size | 12.8 MB |
| Tags | Python 3 |
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