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|
%global _empty_manifest_terminate_build 0
Name: python-commoncorrections
Version: 1.0.12
Release: 1
Summary: A small python implementation of common ASR corrections
License: Apache Software License
URL: https://github.com/robmsmt/CommonCorrections
Source0: https://mirrors.aliyun.com/pypi/web/packages/1e/e5/dbc5090c12042e0413311b378329b9777971faaed225ee09e292e6e7c814/commoncorrections-1.0.12.tar.gz
BuildArch: noarch
Requires: python3-pandas
Requires: python3-inflect
Requires: python3-requests
%description
# CC - CommonCorrections
A simple repo that is used to correct common ASR outputs.
The aim is not on mistakes but different ways of transcribing the same thing with a focus on how something may sound as opposed to the shortened form.
The primary use case is to align the ground-truth and output from ASRs just before the WER is calculated.
### Static Examples
```text
there's -> there is
google.com -> google dot com
```
### Dynamic Examples
```text
1 2 3 -> one two three
53.4 -> fifty three point four
23:59 -> twenty three fifty nine
```
## Features
1. Designed to be used and fast (ish) with Pandas dataframes
2. Lots of built in corrections for free
3. Ability to easily extend with private corrections
## Getting Started
1. Install with: `pip install commoncorrections`
2. Import with: `from commoncorrections import CommonCorrections`
## Usage Examples
Turn numbers into words:
```python
>>> cc = CommonCorrections()
>>> print(cc.correct_str("1 2 3"))
one two three
```
Turn times into words:
```python
>>> cc = CommonCorrections()
>>> print(cc.correct_str("23:59"))
twenty three fifty nine
```
Correct a pandas dataframe:
```python
df = pd.DataFrame(data={"transcript": ['5 4 3', "123 the time is 1:23"],
"asr_1": ["five four three", "one two three the time is one twenty three"],
"filename": ["./my_local_file.wav", "file2.wav"]})
cc = CommonCorrections()
# to correct only specific columns
new_df = cc.correct_df(df, column_list=['transcript', 'asr_1'])
# to apply to whole dataframe
new_whole_df = cc.correct_df(df)
```
## mypy Type Checks
I tested installing mypy to check that types are compatible
```bash
(py) rob@rob-T480s:~/projects/CommonCorrections/commoncorrections (master)$ mypy commoncorrections.py
Success: no issues found in 1 source file
```
## Change Log
- v1.0.0 - First release
- v1.0.1 - Fixed packaging issue
- v1.0.3 - Fixed pip packaging issue
- v1.0.4 - Fixed pip packaging issue
- v1.0.5 - Fixed issue single digits
- v1.0.6 - Fixed case where dataframe contains a non-str type (e.g. int)
- v1.0.7 - Fixed adding additional dict works and added print(cc) object
- v1.0.8 - Fixed print bug with repl
- v1.0.9 - Added some words with space in default corrections csv
- v1.0.10 - Typo in some corrections
- v1.0.11 - Added test case and fixed mistake
- v1.0.12 - Fixed pinning requirements
%package -n python3-commoncorrections
Summary: A small python implementation of common ASR corrections
Provides: python-commoncorrections
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-commoncorrections
# CC - CommonCorrections
A simple repo that is used to correct common ASR outputs.
The aim is not on mistakes but different ways of transcribing the same thing with a focus on how something may sound as opposed to the shortened form.
The primary use case is to align the ground-truth and output from ASRs just before the WER is calculated.
### Static Examples
```text
there's -> there is
google.com -> google dot com
```
### Dynamic Examples
```text
1 2 3 -> one two three
53.4 -> fifty three point four
23:59 -> twenty three fifty nine
```
## Features
1. Designed to be used and fast (ish) with Pandas dataframes
2. Lots of built in corrections for free
3. Ability to easily extend with private corrections
## Getting Started
1. Install with: `pip install commoncorrections`
2. Import with: `from commoncorrections import CommonCorrections`
## Usage Examples
Turn numbers into words:
```python
>>> cc = CommonCorrections()
>>> print(cc.correct_str("1 2 3"))
one two three
```
Turn times into words:
```python
>>> cc = CommonCorrections()
>>> print(cc.correct_str("23:59"))
twenty three fifty nine
```
Correct a pandas dataframe:
```python
df = pd.DataFrame(data={"transcript": ['5 4 3', "123 the time is 1:23"],
"asr_1": ["five four three", "one two three the time is one twenty three"],
"filename": ["./my_local_file.wav", "file2.wav"]})
cc = CommonCorrections()
# to correct only specific columns
new_df = cc.correct_df(df, column_list=['transcript', 'asr_1'])
# to apply to whole dataframe
new_whole_df = cc.correct_df(df)
```
## mypy Type Checks
I tested installing mypy to check that types are compatible
```bash
(py) rob@rob-T480s:~/projects/CommonCorrections/commoncorrections (master)$ mypy commoncorrections.py
Success: no issues found in 1 source file
```
## Change Log
- v1.0.0 - First release
- v1.0.1 - Fixed packaging issue
- v1.0.3 - Fixed pip packaging issue
- v1.0.4 - Fixed pip packaging issue
- v1.0.5 - Fixed issue single digits
- v1.0.6 - Fixed case where dataframe contains a non-str type (e.g. int)
- v1.0.7 - Fixed adding additional dict works and added print(cc) object
- v1.0.8 - Fixed print bug with repl
- v1.0.9 - Added some words with space in default corrections csv
- v1.0.10 - Typo in some corrections
- v1.0.11 - Added test case and fixed mistake
- v1.0.12 - Fixed pinning requirements
%package help
Summary: Development documents and examples for commoncorrections
Provides: python3-commoncorrections-doc
%description help
# CC - CommonCorrections
A simple repo that is used to correct common ASR outputs.
The aim is not on mistakes but different ways of transcribing the same thing with a focus on how something may sound as opposed to the shortened form.
The primary use case is to align the ground-truth and output from ASRs just before the WER is calculated.
### Static Examples
```text
there's -> there is
google.com -> google dot com
```
### Dynamic Examples
```text
1 2 3 -> one two three
53.4 -> fifty three point four
23:59 -> twenty three fifty nine
```
## Features
1. Designed to be used and fast (ish) with Pandas dataframes
2. Lots of built in corrections for free
3. Ability to easily extend with private corrections
## Getting Started
1. Install with: `pip install commoncorrections`
2. Import with: `from commoncorrections import CommonCorrections`
## Usage Examples
Turn numbers into words:
```python
>>> cc = CommonCorrections()
>>> print(cc.correct_str("1 2 3"))
one two three
```
Turn times into words:
```python
>>> cc = CommonCorrections()
>>> print(cc.correct_str("23:59"))
twenty three fifty nine
```
Correct a pandas dataframe:
```python
df = pd.DataFrame(data={"transcript": ['5 4 3', "123 the time is 1:23"],
"asr_1": ["five four three", "one two three the time is one twenty three"],
"filename": ["./my_local_file.wav", "file2.wav"]})
cc = CommonCorrections()
# to correct only specific columns
new_df = cc.correct_df(df, column_list=['transcript', 'asr_1'])
# to apply to whole dataframe
new_whole_df = cc.correct_df(df)
```
## mypy Type Checks
I tested installing mypy to check that types are compatible
```bash
(py) rob@rob-T480s:~/projects/CommonCorrections/commoncorrections (master)$ mypy commoncorrections.py
Success: no issues found in 1 source file
```
## Change Log
- v1.0.0 - First release
- v1.0.1 - Fixed packaging issue
- v1.0.3 - Fixed pip packaging issue
- v1.0.4 - Fixed pip packaging issue
- v1.0.5 - Fixed issue single digits
- v1.0.6 - Fixed case where dataframe contains a non-str type (e.g. int)
- v1.0.7 - Fixed adding additional dict works and added print(cc) object
- v1.0.8 - Fixed print bug with repl
- v1.0.9 - Added some words with space in default corrections csv
- v1.0.10 - Typo in some corrections
- v1.0.11 - Added test case and fixed mistake
- v1.0.12 - Fixed pinning requirements
%prep
%autosetup -n commoncorrections-1.0.12
%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-commoncorrections -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Thu Jun 08 2023 Python_Bot <Python_Bot@openeuler.org> - 1.0.12-1
- Package Spec generated
|
