%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