1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
|
%global _empty_manifest_terminate_build 0
Name: python-spacy-lookups-data
Version: 1.0.3
Release: 1
Summary: Additional lookup tables and data resources for spaCy
License: MIT
URL: https://spacy.io
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/72/cc/0fc40728ca86612c60de09c450eb4c91973677ab22ef4a5f93f96ef3050e/spacy_lookups_data-1.0.3.tar.gz
BuildArch: noarch
Requires: python3-setuptools
%description
<a href="https://explosion.ai"><img src="https://explosion.ai/assets/img/logo.svg" width="125" height="125" align="right" /></a>
# spaCy lookups data
This repository contains additional data files to be used with
[spaCy](https://spacy.io) v2.2+. When it's installed in the same environment as
spaCy, this package makes the resources for each language available as an entry
point, which spaCy checks when setting up the `Vocab` and `Lookups`.
Feel free to submit pull requests to update the data. For issues related to the
data, lookups and integration, please use the
[spaCy issue tracker](https://github.com/explosion/spaCy/issues).
[>)](https://dev.azure.com/explosion-ai/public/_build?definitionId=12)
[](https://github.com/explosion/spacy-lookups-data/releases)
[](https://pypi.org/project/spacy-lookups-data/)
[](https://anaconda.org/conda-forge/spacy-lookups-data)
## FAQ
### Why does this exist?
The main purpose of this package is to make the default spaCy installation
smaller and not force every user to download large data files for _all_
languages by default. Lookups data is now either provided **via the pre-trained
models** (which serialize out their vocabulary and lookup tables) or by
**explicitly installing this package** or `spacy[lookups]`.
### When should I install this?
You should install this package if you want to use lemmatization for languages
that don't yet have a [pretrained model](https://spacy.io/models) available for
download and don't rely on third-party libraries for lemmatization – for
example, **Turkish**, **Swedish** or **Croatian**
([see data files](spacy_lookups_data/data)).
If you are training new models with spaCy, you should probably install this,
since it contains lemmatization and normalization data for 25+ languages that
is no longer included as part of the main spaCy library. In particular, you
should install it if you're creating a **blank model** and you want it to
include lemmatization and normalization data. Once you've saved out the model
(e.g. via `nlp.disk`), it will include the lookup tables as part of its
`Vocab`.
### Is this package only for lemmatization?
This package used to only be for lemmatization, but it has been extended to
include normalization data for many languages. As of v0.3.1 it also includes
optional probability and Brown cluster data that used to be distributed with
provided models in spaCy v2.2 but is no longer included in spaCy v2.3. In the
future it may include other lookup lists and tables as well, e.g. large
tokenizer exception files.
## Running tests
This package now also includes all
[data-specific tests](spacy_lookups_data/tests). The test suite depends on
spaCy.
```bash
pip install -r requirements.txt
python -m pytest spacy_lookups_data
```
If you've installed the package in your spaCy environment, you can also run the
tests like this:
```bash
python -m pytest --pyargs spacy_lookups_data
```
%package -n python3-spacy-lookups-data
Summary: Additional lookup tables and data resources for spaCy
Provides: python-spacy-lookups-data
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-spacy-lookups-data
<a href="https://explosion.ai"><img src="https://explosion.ai/assets/img/logo.svg" width="125" height="125" align="right" /></a>
# spaCy lookups data
This repository contains additional data files to be used with
[spaCy](https://spacy.io) v2.2+. When it's installed in the same environment as
spaCy, this package makes the resources for each language available as an entry
point, which spaCy checks when setting up the `Vocab` and `Lookups`.
Feel free to submit pull requests to update the data. For issues related to the
data, lookups and integration, please use the
[spaCy issue tracker](https://github.com/explosion/spaCy/issues).
[>)](https://dev.azure.com/explosion-ai/public/_build?definitionId=12)
[](https://github.com/explosion/spacy-lookups-data/releases)
[](https://pypi.org/project/spacy-lookups-data/)
[](https://anaconda.org/conda-forge/spacy-lookups-data)
## FAQ
### Why does this exist?
The main purpose of this package is to make the default spaCy installation
smaller and not force every user to download large data files for _all_
languages by default. Lookups data is now either provided **via the pre-trained
models** (which serialize out their vocabulary and lookup tables) or by
**explicitly installing this package** or `spacy[lookups]`.
### When should I install this?
You should install this package if you want to use lemmatization for languages
that don't yet have a [pretrained model](https://spacy.io/models) available for
download and don't rely on third-party libraries for lemmatization – for
example, **Turkish**, **Swedish** or **Croatian**
([see data files](spacy_lookups_data/data)).
If you are training new models with spaCy, you should probably install this,
since it contains lemmatization and normalization data for 25+ languages that
is no longer included as part of the main spaCy library. In particular, you
should install it if you're creating a **blank model** and you want it to
include lemmatization and normalization data. Once you've saved out the model
(e.g. via `nlp.disk`), it will include the lookup tables as part of its
`Vocab`.
### Is this package only for lemmatization?
This package used to only be for lemmatization, but it has been extended to
include normalization data for many languages. As of v0.3.1 it also includes
optional probability and Brown cluster data that used to be distributed with
provided models in spaCy v2.2 but is no longer included in spaCy v2.3. In the
future it may include other lookup lists and tables as well, e.g. large
tokenizer exception files.
## Running tests
This package now also includes all
[data-specific tests](spacy_lookups_data/tests). The test suite depends on
spaCy.
```bash
pip install -r requirements.txt
python -m pytest spacy_lookups_data
```
If you've installed the package in your spaCy environment, you can also run the
tests like this:
```bash
python -m pytest --pyargs spacy_lookups_data
```
%package help
Summary: Development documents and examples for spacy-lookups-data
Provides: python3-spacy-lookups-data-doc
%description help
<a href="https://explosion.ai"><img src="https://explosion.ai/assets/img/logo.svg" width="125" height="125" align="right" /></a>
# spaCy lookups data
This repository contains additional data files to be used with
[spaCy](https://spacy.io) v2.2+. When it's installed in the same environment as
spaCy, this package makes the resources for each language available as an entry
point, which spaCy checks when setting up the `Vocab` and `Lookups`.
Feel free to submit pull requests to update the data. For issues related to the
data, lookups and integration, please use the
[spaCy issue tracker](https://github.com/explosion/spaCy/issues).
[>)](https://dev.azure.com/explosion-ai/public/_build?definitionId=12)
[](https://github.com/explosion/spacy-lookups-data/releases)
[](https://pypi.org/project/spacy-lookups-data/)
[](https://anaconda.org/conda-forge/spacy-lookups-data)
## FAQ
### Why does this exist?
The main purpose of this package is to make the default spaCy installation
smaller and not force every user to download large data files for _all_
languages by default. Lookups data is now either provided **via the pre-trained
models** (which serialize out their vocabulary and lookup tables) or by
**explicitly installing this package** or `spacy[lookups]`.
### When should I install this?
You should install this package if you want to use lemmatization for languages
that don't yet have a [pretrained model](https://spacy.io/models) available for
download and don't rely on third-party libraries for lemmatization – for
example, **Turkish**, **Swedish** or **Croatian**
([see data files](spacy_lookups_data/data)).
If you are training new models with spaCy, you should probably install this,
since it contains lemmatization and normalization data for 25+ languages that
is no longer included as part of the main spaCy library. In particular, you
should install it if you're creating a **blank model** and you want it to
include lemmatization and normalization data. Once you've saved out the model
(e.g. via `nlp.disk`), it will include the lookup tables as part of its
`Vocab`.
### Is this package only for lemmatization?
This package used to only be for lemmatization, but it has been extended to
include normalization data for many languages. As of v0.3.1 it also includes
optional probability and Brown cluster data that used to be distributed with
provided models in spaCy v2.2 but is no longer included in spaCy v2.3. In the
future it may include other lookup lists and tables as well, e.g. large
tokenizer exception files.
## Running tests
This package now also includes all
[data-specific tests](spacy_lookups_data/tests). The test suite depends on
spaCy.
```bash
pip install -r requirements.txt
python -m pytest spacy_lookups_data
```
If you've installed the package in your spaCy environment, you can also run the
tests like this:
```bash
python -m pytest --pyargs spacy_lookups_data
```
%prep
%autosetup -n spacy-lookups-data-1.0.3
%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-spacy-lookups-data -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Mon Apr 10 2023 Python_Bot <Python_Bot@openeuler.org> - 1.0.3-1
- Package Spec generated
|
