%global _empty_manifest_terminate_build 0
Name: python-es-core-news-sm
Version: 3.1.0
Release: 1
Summary: Spanish pipeline optimized for CPU. Components: tok2vec, morphologizer, parser, senter, ner, attribute_ruler, lemmatizer.
License: GNU GPL 3.0
URL: https://explosion.ai
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/a8/a3/b330d349d8ffd9a34ba12873143bfbc838851b64b4996487232aa46a9004/es_core_news_sm-3.1.0.tar.gz
BuildArch: noarch
Requires: python3-spacy
%description
### Details: https://spacy.io/models/es#es_core_news_sm
Spanish pipeline optimized for CPU. Components: tok2vec, morphologizer, parser, senter, ner, attribute_ruler, lemmatizer.
| Feature | Description |
| --- | --- |
| **Name** | `es_core_news_sm` |
| **Version** | `3.1.0` |
| **spaCy** | `>=3.1.0,<3.2.0` |
| **Default Pipeline** | `tok2vec`, `morphologizer`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
| **Components** | `tok2vec`, `morphologizer`, `parser`, `senter`, `attribute_ruler`, `lemmatizer`, `ner` |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
| **Sources** | [UD Spanish AnCora v2.5](https://github.com/UniversalDependencies/UD_Spanish-AnCora) (Martínez Alonso, Héctor; Zeman, Daniel)
[WikiNER](https://figshare.com/articles/Learning_multilingual_named_entity_recognition_from_Wikipedia/5462500) (Joel Nothman, Nicky Ringland, Will Radford, Tara Murphy, James R Curran)
[spaCy lookups data](https://github.com/explosion/spacy-lookups-data) (Explosion) |
| **License** | `GNU GPL 3.0` |
| **Author** | [Explosion](https://explosion.ai) |
### Label Scheme
View label scheme (414 labels for 4 components)
### Accuracy
| Type | Score |
| --- | --- |
| `TOKEN_ACC` | 100.00 |
| `TAG_ACC` | 97.29 |
| `POS_ACC` | 98.20 |
| `MORPH_ACC` | 97.74 |
| `LEMMA_ACC` | 98.32 |
| `DEP_UAS` | 90.42 |
| `DEP_LAS` | 86.94 |
| `SENTS_P` | 97.87 |
| `SENTS_R` | 98.97 |
| `SENTS_F` | 98.42 |
| `ENTS_P` | 88.90 |
| `ENTS_R` | 88.98 |
| `ENTS_F` | 88.94 |
%package -n python3-es-core-news-sm
Summary: Spanish pipeline optimized for CPU. Components: tok2vec, morphologizer, parser, senter, ner, attribute_ruler, lemmatizer.
Provides: python-es-core-news-sm
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-es-core-news-sm
### Details: https://spacy.io/models/es#es_core_news_sm
Spanish pipeline optimized for CPU. Components: tok2vec, morphologizer, parser, senter, ner, attribute_ruler, lemmatizer.
| Feature | Description |
| --- | --- |
| **Name** | `es_core_news_sm` |
| **Version** | `3.1.0` |
| **spaCy** | `>=3.1.0,<3.2.0` |
| **Default Pipeline** | `tok2vec`, `morphologizer`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
| **Components** | `tok2vec`, `morphologizer`, `parser`, `senter`, `attribute_ruler`, `lemmatizer`, `ner` |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
| **Sources** | [UD Spanish AnCora v2.5](https://github.com/UniversalDependencies/UD_Spanish-AnCora) (Martínez Alonso, Héctor; Zeman, Daniel)
[WikiNER](https://figshare.com/articles/Learning_multilingual_named_entity_recognition_from_Wikipedia/5462500) (Joel Nothman, Nicky Ringland, Will Radford, Tara Murphy, James R Curran)
[spaCy lookups data](https://github.com/explosion/spacy-lookups-data) (Explosion) |
| **License** | `GNU GPL 3.0` |
| **Author** | [Explosion](https://explosion.ai) |
### Label Scheme
View label scheme (414 labels for 4 components)
### Accuracy
| Type | Score |
| --- | --- |
| `TOKEN_ACC` | 100.00 |
| `TAG_ACC` | 97.29 |
| `POS_ACC` | 98.20 |
| `MORPH_ACC` | 97.74 |
| `LEMMA_ACC` | 98.32 |
| `DEP_UAS` | 90.42 |
| `DEP_LAS` | 86.94 |
| `SENTS_P` | 97.87 |
| `SENTS_R` | 98.97 |
| `SENTS_F` | 98.42 |
| `ENTS_P` | 88.90 |
| `ENTS_R` | 88.98 |
| `ENTS_F` | 88.94 |
%package help
Summary: Development documents and examples for es-core-news-sm
Provides: python3-es-core-news-sm-doc
%description help
### Details: https://spacy.io/models/es#es_core_news_sm
Spanish pipeline optimized for CPU. Components: tok2vec, morphologizer, parser, senter, ner, attribute_ruler, lemmatizer.
| Feature | Description |
| --- | --- |
| **Name** | `es_core_news_sm` |
| **Version** | `3.1.0` |
| **spaCy** | `>=3.1.0,<3.2.0` |
| **Default Pipeline** | `tok2vec`, `morphologizer`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
| **Components** | `tok2vec`, `morphologizer`, `parser`, `senter`, `attribute_ruler`, `lemmatizer`, `ner` |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
| **Sources** | [UD Spanish AnCora v2.5](https://github.com/UniversalDependencies/UD_Spanish-AnCora) (Martínez Alonso, Héctor; Zeman, Daniel)
[WikiNER](https://figshare.com/articles/Learning_multilingual_named_entity_recognition_from_Wikipedia/5462500) (Joel Nothman, Nicky Ringland, Will Radford, Tara Murphy, James R Curran)
[spaCy lookups data](https://github.com/explosion/spacy-lookups-data) (Explosion) |
| **License** | `GNU GPL 3.0` |
| **Author** | [Explosion](https://explosion.ai) |
### Label Scheme
View label scheme (414 labels for 4 components)
### Accuracy
| Type | Score |
| --- | --- |
| `TOKEN_ACC` | 100.00 |
| `TAG_ACC` | 97.29 |
| `POS_ACC` | 98.20 |
| `MORPH_ACC` | 97.74 |
| `LEMMA_ACC` | 98.32 |
| `DEP_UAS` | 90.42 |
| `DEP_LAS` | 86.94 |
| `SENTS_P` | 97.87 |
| `SENTS_R` | 98.97 |
| `SENTS_F` | 98.42 |
| `ENTS_P` | 88.90 |
| `ENTS_R` | 88.98 |
| `ENTS_F` | 88.94 |
%prep
%autosetup -n es_core_news_sm-3.1.0
%build
%py3_build
%install
%py3_install
install -d -m755 %{buildroot}/%{_pkgdocdir}
if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
pushd %{buildroot}
if [ -d usr/lib ]; then
find usr/lib -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
if [ -d usr/lib64 ]; then
find usr/lib64 -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
if [ -d usr/bin ]; then
find usr/bin -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
if [ -d usr/sbin ]; then
find usr/sbin -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
touch doclist.lst
if [ -d usr/share/man ]; then
find usr/share/man -type f -printf "\"/%h/%f.gz\"\n" >> doclist.lst
fi
popd
mv %{buildroot}/filelist.lst .
mv %{buildroot}/doclist.lst .
%files -n python3-es-core-news-sm -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Thu Jun 08 2023 Python_Bot - 3.1.0-1
- Package Spec generated