Details: https://spacy.io/models/en#en_core_web_md
English pipeline optimized for CPU. Components: tok2vec, tagger, parser, senter, ner, attribute_ruler, lemmatizer.
| Feature | Description |
|---|---|
| Name | en_core_web_md |
| Version | 3.7.1 |
| spaCy | >=3.7.2,<3.8.0 |
| Default Pipeline | tok2vec, tagger, parser, attribute_ruler, lemmatizer, ner |
| Components | tok2vec, tagger, parser, senter, attribute_ruler, lemmatizer, ner |
| Vectors | 514157 keys, 20000 unique vectors (300 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) Explosion Vectors (OSCAR 2109 + Wikipedia + OpenSubtitles + WMT News Crawl) (Explosion) |
| 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 |
97.33 |
SENTS_P |
92.21 |
SENTS_R |
89.37 |
SENTS_F |
90.77 |
DEP_UAS |
92.05 |
DEP_LAS |
90.23 |
ENTS_P |
84.94 |
ENTS_R |
85.49 |
ENTS_F |
85.22 |
Metadata
Release files for spacy-md-pipeline 3.7.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| spacy_md_pipeline-3.7.1.tar.gz | 42.8 MB | Without provenance | Details for spacy_md_pipeline-3.7.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| spacy_md_pipeline-3.7.1-py3-none-any.whl | Python 3 | none | any | Details for spacy_md_pipeline-3.7.1-py3-none-any.whl |
Total release size: 85.6 MB
Release files / spacy_md_pipeline-3.7.1.tar.gz
| Download URL | spacy_md_pipeline-3.7.1.tar.gz |
|---|---|
| Size | 42.8 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
118f875909f6b5e8e69d872363d44a020995fcbd6c4c74815e48d9de2bfd8fab
|
|
BLAKE2b-256 checksum How to use checksums |
ed64ea8d96c0846a56d5fae7edb011f7aa821fd4a3e27ee03bc3da500e2e76a1
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.11.3
|
Release files / spacy_md_pipeline-3.7.1-py3-none-any.whl
| Download URL | spacy_md_pipeline-3.7.1-py3-none-any.whl |
|---|---|
| Size | 42.8 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
c2b55dcb0592ae8c93aa208d6e27d67c3b3a83457ed33056079e0630c175eda5
|
|
BLAKE2b-256 checksum How to use checksums |
9abe3874b688912f86f299be63c34993c9ffdbd9012b36d63ad98048a78e6acb
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.11.3
|
Security for spacy-md-pipeline 3.7.1
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.