Working Py
Debdut Karmakar
commit
28e30ba887
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github: [philipperemy]
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# Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[cod]
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*$py.class
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*.out
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# Distribution / packaging
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wheels/
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# PyInstaller
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# Translations
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*.pot
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# Django stuff:
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# Flask stuff:
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# Sphinx documentation
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# PyBuilder
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# Jupyter Notebook
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# pyenv
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.python-version
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celerybeat-schedule
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# SageMath parsed files
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*.sage.py
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# dotenv
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.env
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# virtualenv
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# Spyder project settings
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# mkdocs documentation
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/site
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# mypy
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.mypy_cache/
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@ -0,0 +1,118 @@
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# name-dataset
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> _A First and Last Name Dataset_
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<img src='assets/logo.png'/>
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## Features
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- ~160k first names
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- ~100k last names
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- Find Names in Texts
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- Hiigh Precision / Recall
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||||
- Worldwide Names
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||||
|
||||
<!-- ## Installation
|
||||
```
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||||
npm install name-dataset
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||||
```
|
||||
|
||||
## Usage
|
||||
|
||||
```js
|
||||
const Names = require('name-dataset')
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||||
``` -->
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||||
|
||||
```
|
||||
echo -e "$(python main.py 'Brian is in the kitchen while Amanda is watching the TV on the sofa.\nThey are both waiting for Alfred to come.')"
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```
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|
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<img src='assets/img_1.png'/>
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## How reliable is it?
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Well, it depends if you are looking for a high recall or a high precision. For example, the word Rose can be either a name or a noun. If we include it in the list, then we increase the precision but we decrease the recall. And vice versa, if it's not in the list. The library checks that the word starts with a capital letter. In our case, we emphasize more on precision. So I would say the best use case here is to check whether it's a name or not based on a prior knowledge that the customer has submitted a name.
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Here is an example on a (old) text: [ALI BABA AND THE FORTY THIEVES](http://textfiles.com/stories/ab40thv.txt).
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<img src='misc/img_2.png'/>
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## License
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I don't own the data obviously. It's fetched from the websites listed in:
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https://github.com/philipperemy/name-dataset/blob/master/generation/generate.sh
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So I guess the most strict software license should apply here.
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## Sources and References
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Exhaustive list of all the possible websites. Not all are used since there is a lot of garbage in the lists.
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- Generator: http://listofrandomnames.com/index.cfm?generated
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- https://www.sajari.com/public-data: 5000 names (First Names CSV)
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- http://www.20000-names.com/ names around the world
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- https://catalogue.data.gov.bc.ca/dataset/most-popular-boys-names-for-the-past-100-years UK
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- https://catalogue.data.gov.bc.ca/dataset/most-popular-girl-names-for-the-past-100-years UK
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- https://www.nrscotland.gov.uk/statistics-and-data/statistics/statistics-by-theme/vital-events/names/babies-first-names/full-lists-of-babies-first-names-2010-to-2014 Scotland
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- https://gender-api.com/en/pricing
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- https://github.com/OpenGenderTracking/globalnamedata/tree/master/assets
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- From https://bocoup.com/blog/global-name-data
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- https://github.com/MatthiasWinkelmann/firstname-database
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- http://www.namepedia.org/en/firstname/Nabil/
|
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|
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- https://datasets.imdbws.com/
|
||||
- https://www.imdb.com/interfaces/
|
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|
||||
- https://opendata.stackexchange.com/questions/46/multinational-list-of-popular-first-names-and-surnames
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||||
- ftp://ftp.heise.de/pub/ct/listings/0717-182.zip
|
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|
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- https://data.world/howarder/gender-by-name
|
||||
|
||||
- https://statbel.fgov.be/en/open-data/first-names-total-population-municipality
|
||||
|
||||
- https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/livebirths/bulletins/babynamesenglandandwales/previousReleases
|
||||
|
||||
- http://www.cs.cmu.edu/afs/cs/project/ai-repository/ai/areas/nlp/corpora/names/
|
||||
|
||||
- https://www.ssa.gov/oact/babynames/limits.html
|
||||
|
||||
- https://www.ssa.gov/OACT/babynames/
|
||||
|
||||
- https://www.ssa.gov/cgi-bin/popularnames.cgi
|
||||
|
||||
- https://github.com/hadley/data-baby-names/blob/master/baby-names.csv
|
||||
|
||||
- http://www.quietaffiliate.com/free-first-name-and-last-name-databases-csv-and-sql/
|
||||
|
||||
- https://stackoverflow.com/questions/1452003/plain-computer-parseable-lists-of-common-first-names
|
||||
|
||||
- http://mbejda.github.io/
|
||||
|
||||
- https://www2.census.gov/topics/genealogy/1990surnames/dist.all.last
|
||||
|
||||
- https://opendata.stackexchange.com/questions/1108/database-of-names-of-japanese-and-non-japanese-people
|
||||
|
||||
- https://opendata.stackexchange.com/questions/12234/name-and-gender-dataset
|
||||
|
||||
- https://opendata.stackexchange.com/questions/7071/people-names-by-country
|
||||
|
||||
- http://www.randomnames.com/all-boys-names.asp
|
||||
|
||||
- https://en.wikipedia.org/wiki/List_of_most_popular_given_names#cite_note-ahram2004-2
|
||||
|
||||
- http://www.avss.ucsb.edu/NameFema.HTM
|
||||
|
||||
- http://www.oxfordreference.com/view/10.1093/acref/9780198610601.001.0001/acref-9780198610601?btog=chap&hide=true&page=248&pageSize=10&skipEditions=true&sort=titlesort&source=%2F10.1093%2Facref%2F9780198610601.001.0001%2Facref-9780198610601
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||||
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||||
- https://github.com/dominictarr/random-name/blob/master/first-names.txt
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||||
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||||
- https://github.com/smashew/NameDatabases/tree/master/NamesDatabases/first%20names
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||||
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||||
- https://www.behindthename.com/names
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||||
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||||
- https://incompetech.com/named/multi.pl
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from names_dataset import NameDataset
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||||
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||||
# https://scikit-learn.org/stable/modules/generated/sklearn.metrics.precision_recall_fscore_support.html
|
||||
# Precision: The precision is intuitively the ability of the classifier not to label as positive a sample that is negative.
|
||||
# Recall: The recall is intuitively the ability of the classifier to find all the positive samples.
|
||||
|
||||
def read_dict_file(filename):
|
||||
with open(filename, 'r', encoding='utf8') as r:
|
||||
lines = r.read().strip().split('\n')
|
||||
return lines
|
||||
|
||||
|
||||
def main():
|
||||
m = NameDataset()
|
||||
|
||||
names = read_dict_file('eng_dictionary/names-from-forbes-wp_users.txt')
|
||||
not_names = read_dict_file('eng_dictionary/google-10000-english-no-names.txt')
|
||||
not_names.extend(read_dict_file('eng_dictionary/1000-no-names.txt'))
|
||||
|
||||
names = sorted(set(names))
|
||||
not_names = sorted(set(not_names))
|
||||
|
||||
# 0 => not a name
|
||||
# 1 => name
|
||||
|
||||
targets = []
|
||||
predictions = []
|
||||
for q in names:
|
||||
predictions.append(m.search_first_name(q))
|
||||
targets.append(True)
|
||||
|
||||
for q in not_names:
|
||||
predictions.append(m.search_first_name(q))
|
||||
targets.append(False)
|
||||
|
||||
from sklearn.metrics import precision_score, recall_score, f1_score, accuracy_score
|
||||
print('P', precision_score(y_true=targets, y_pred=predictions))
|
||||
print('R', recall_score(y_true=targets, y_pred=predictions))
|
||||
print('F', f1_score(y_true=targets, y_pred=predictions))
|
||||
print('A', accuracy_score(y_true=targets, y_pred=predictions))
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
main()
|
||||
|
|
@ -0,0 +1,28 @@
|
|||
import sys
|
||||
|
||||
|
||||
def read_dict_file(filename):
|
||||
with open(filename, 'r', encoding='utf8', errors='ignore') as r:
|
||||
lines = r.read().strip().lower().split('\n')
|
||||
return lines
|
||||
|
||||
|
||||
def write_dict_file(filename, dicts):
|
||||
with open(filename, 'w', encoding='utf8') as w:
|
||||
for line in dicts:
|
||||
w.write(line)
|
||||
w.write('\n')
|
||||
|
||||
|
||||
def main():
|
||||
a = read_dict_file(sys.argv[1])
|
||||
b = read_dict_file(sys.argv[2])
|
||||
if sys.argv[4] == '-':
|
||||
c = sorted(set(a) - set(b))
|
||||
else:
|
||||
c = sorted(set(a).union(set(b)))
|
||||
write_dict_file(sys.argv[3], c)
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
main()
|
||||
|
|
@ -0,0 +1,118 @@
|
|||
#!/usr/bin/env bash
|
||||
|
||||
set -e
|
||||
|
||||
export LC_CTYPE=C
|
||||
OUTPUT_DIR=output
|
||||
|
||||
mkdir -p ${OUTPUT_DIR}
|
||||
rm -rf ${OUTPUT_DIR}
|
||||
|
||||
echo "--------------------------------------------------"
|
||||
echo "Generating the whole dataset in ${OUTPUT_DIR}/..."
|
||||
echo "It takes around 7min on a MacBookPro 2017."
|
||||
echo "--------------------------------------------------"
|
||||
|
||||
DATASET=MatthiasWinkelmann_firstname-database
|
||||
wget -nv --read-timeout=30 --tries=3 --waitretry=5 https://github.com/MatthiasWinkelmann/firstname-database/raw/master/firstnames.csv -P ${OUTPUT_DIR}/${DATASET}/
|
||||
bash scripts/${DATASET}/transform.sh ${OUTPUT_DIR}/${DATASET}/
|
||||
|
||||
#DATASET=cs.cmu.edu.ai-repository
|
||||
#wget -nv --read-timeout=30 --tries=3 --waitretry=5 http://www.cs.cmu.edu/afs/cs/project/ai-repository/ai/areas/nlp/corpora/names/female.txt -P ${OUTPUT_DIR}/${DATASET}
|
||||
#wget -nv --read-timeout=30 --tries=3 --waitretry=5 http://www.cs.cmu.edu/afs/cs/project/ai-repository/ai/areas/nlp/corpora/names/male.txt -P ${OUTPUT_DIR}/${DATASET}
|
||||
#wget -nv --read-timeout=30 --tries=3 --waitretry=5 http://www.cs.cmu.edu/afs/cs/project/ai-repository/ai/areas/nlp/corpora/names/other/family.txt -P ${OUTPUT_DIR}/${DATASET}
|
||||
#wget -nv --read-timeout=30 --tries=3 --waitretry=5 http://www.cs.cmu.edu/afs/cs/project/ai-repository/ai/areas/nlp/corpora/names/other/names.txt -P ${OUTPUT_DIR}/${DATASET}
|
||||
#bash scripts/${DATASET}/transform.sh ${OUTPUT_DIR}/${DATASET}/
|
||||
|
||||
DATASET=yorkshiretwist
|
||||
wget -nv --read-timeout=30 --tries=3 --waitretry=5 https://raw.githubusercontent.com/yorkshiretwist/WTester/master/WTester/Helpers/CSV_Database_of_First_Names.csv -P ${OUTPUT_DIR}/${DATASET}
|
||||
wget -nv --read-timeout=30 --tries=3 --waitretry=5 https://raw.githubusercontent.com/yorkshiretwist/WTester/master/WTester/Helpers/CSV_Database_of_Last_Names.csv -P ${OUTPUT_DIR}/${DATASET}
|
||||
|
||||
python scripts/${DATASET}/transform.py ${OUTPUT_DIR}/${DATASET}/CSV_Database_of_First_Names.csv
|
||||
python scripts/${DATASET}/transform.py ${OUTPUT_DIR}/${DATASET}/CSV_Database_of_Last_Names.csv
|
||||
|
||||
DATASET=github_hadley_data-baby-names
|
||||
wget -nv --read-timeout=30 --tries=3 --waitretry=5 https://raw.githubusercontent.com/hadley/data-baby-names/master/baby-names.csv -P ${OUTPUT_DIR}/${DATASET}
|
||||
bash scripts/${DATASET}/transform.sh ${OUTPUT_DIR}/${DATASET}/
|
||||
|
||||
#DATASET=datasets_imdb
|
||||
#wget -nv --read-timeout=30 --tries=3 --waitretry=5 https://datasets.imdbws.com/name.basics.tsv.gz -P ${OUTPUT_DIR}/${DATASET}
|
||||
#gunzip ${OUTPUT_DIR}/${DATASET}/*
|
||||
#bash scripts/${DATASET}/transform.sh ${OUTPUT_DIR}/${DATASET}/
|
||||
|
||||
DATASET=github_com_dominictarr_random-name
|
||||
wget -nv --read-timeout=30 --tries=3 --waitretry=5 https://raw.githubusercontent.com/dominictarr/random-name/master/names.txt -P ${OUTPUT_DIR}/${DATASET}
|
||||
bash scripts/${DATASET}/transform.sh ${OUTPUT_DIR}/${DATASET}/
|
||||
|
||||
DATASET=github_com_dominictarr_random-name
|
||||
wget -nv --read-timeout=30 --tries=3 --waitretry=5 https://raw.githubusercontent.com/smashew/NameDatabases/master/NamesDatabases/first%20names/non-normalized/es.txt -P ${OUTPUT_DIR}/${DATASET}
|
||||
bash scripts/${DATASET}/transform.sh ${OUTPUT_DIR}/${DATASET}/
|
||||
|
||||
|
||||
DATASET=httpswwwsajaricompublic-data
|
||||
wget -nv --read-timeout=30 --tries=3 --waitretry=5 https://www.sajari.com/free-data/CSV_Database_of_First_Names.csv -P ${OUTPUT_DIR}/${DATASET}
|
||||
wget -nv --read-timeout=30 --tries=3 --waitretry=5 https://www.sajari.com/free-data/CSV_Database_of_Last_Names.csv -P ${OUTPUT_DIR}/${DATASET}
|
||||
python scripts/${DATASET}/transform.py ${OUTPUT_DIR}/${DATASET}/CSV_Database_of_First_Names.csv
|
||||
python scripts/${DATASET}/transform.py ${OUTPUT_DIR}/${DATASET}/CSV_Database_of_Last_Names.csv
|
||||
|
||||
DATASET=mbejda.github.io
|
||||
wget -nv --read-timeout=30 --tries=3 --waitretry=5 https://gist.githubusercontent.com/mbejda/1e77ee4ad268916142a6/raw/22d1b475217be7240aba54c1a1b545557d624ba8/Hispanic-Female-Names.csv -P ${OUTPUT_DIR}/${DATASET}
|
||||
wget -nv --read-timeout=30 --tries=3 --waitretry=5 https://gist.githubusercontent.com/mbejda/21fbbfe24efd2a114800/raw/52db651f79a716c87b21ef06c224ff443cb41f06/Hispanic-Male-Names.csv -P ${OUTPUT_DIR}/${DATASET}
|
||||
wget -nv --read-timeout=30 --tries=3 --waitretry=5 https://gist.githubusercontent.com/mbejda/26ad0574eda7fca78573/raw/6936d1a8f5fa5220f2f60a51a06a35b172c50f93/White-Female-Names.csv -P ${OUTPUT_DIR}/${DATASET}
|
||||
wget -nv --read-timeout=30 --tries=3 --waitretry=5 https://gist.githubusercontent.com/mbejda/61eb488cec271086632d/raw/6340b8045b28c2abc0b1d44cfbc80f40284ef890/Black-Male-Names.csv -P ${OUTPUT_DIR}/${DATASET}
|
||||
wget -nv --read-timeout=30 --tries=3 --waitretry=5 https://gist.githubusercontent.com/mbejda/6c2293ba3333b7e76269/raw/60aa0c95e8ee9b11b915a26f47480fef5c3203ed/White-Male-Names.csv -P ${OUTPUT_DIR}/${DATASET}
|
||||
wget -nv --read-timeout=30 --tries=3 --waitretry=5 https://gist.githubusercontent.com/mbejda/7f86ca901fe41bc14a63/raw/38adb475c14a3f44df9999c1541f3a72f472b30d/Indian-Male-Names.csv -P ${OUTPUT_DIR}/${DATASET}
|
||||
wget -nv --read-timeout=30 --tries=3 --waitretry=5 https://gist.githubusercontent.com/mbejda/9b93c7545c9dd93060bd/raw/b582593330765df3ccaae6f641f8cddc16f1e879/Indian-Female-Names.csv -P ${OUTPUT_DIR}/${DATASET}
|
||||
wget -nv --read-timeout=30 --tries=3 --waitretry=5 https://gist.githubusercontent.com/mbejda/9dc89056005a689a6456/raw/bb6ef2375f1289d0ef10dbd8e9469670ac23ceab/Black-Female-Names.csv -P ${OUTPUT_DIR}/${DATASET}
|
||||
bash scripts/${DATASET}/transform.sh ${OUTPUT_DIR}/${DATASET}/
|
||||
|
||||
DATASET=most-popular-names-for-the-past-100-years
|
||||
wget -nv --read-timeout=30 --tries=3 --waitretry=5 https://catalogue.data.gov.bc.ca/dataset/bfcdd4d7-056b-4069-a09e-5dbda4d11841/resource/2d8c478f-3223-4883-a300-1cac7a344ee3/download/bc-popular-boys-names.csv -P ${OUTPUT_DIR}/${DATASET}
|
||||
wget -nv --read-timeout=30 --tries=3 --waitretry=5 https://catalogue.data.gov.bc.ca/dataset/db803d65-bcfa-44e8-b98d-76e7b02f3500/resource/c9a3af38-f374-412a-9cbe-0dd590f677f9/download/bc-popular-girls-names.csv -P ${OUTPUT_DIR}/${DATASET}
|
||||
bash scripts/${DATASET}/transform.sh ${OUTPUT_DIR}/${DATASET}/
|
||||
|
||||
DATASET=OpenGenderTracking_globalnamedata
|
||||
wget -nv --read-timeout=30 --tries=3 --waitretry=5 https://github.com/OpenGenderTracking/globalnamedata/raw/master/assets/uknames.csv -P ${OUTPUT_DIR}/${DATASET}
|
||||
wget -nv --read-timeout=30 --tries=3 --waitretry=5 https://github.com/OpenGenderTracking/globalnamedata/raw/master/assets/ukprocessed.csv -P ${OUTPUT_DIR}/${DATASET}
|
||||
wget -nv --read-timeout=30 --tries=3 --waitretry=5 https://github.com/OpenGenderTracking/globalnamedata/raw/master/assets/usnames.csv -P ${OUTPUT_DIR}/${DATASET}
|
||||
wget -nv --read-timeout=30 --tries=3 --waitretry=5 https://github.com/OpenGenderTracking/globalnamedata/raw/master/assets/usprocessed.csv -P ${OUTPUT_DIR}/${DATASET}
|
||||
bash scripts/${DATASET}/transform.sh ${OUTPUT_DIR}/${DATASET}/
|
||||
|
||||
DATASET=ssa.gov_oact_babynames_limits
|
||||
wget -nv --read-timeout=30 --tries=3 --waitretry=5 https://www.ssa.gov/oact/babynames/names.zip -P ${OUTPUT_DIR}/${DATASET}
|
||||
unzip ${OUTPUT_DIR}/${DATASET}/* -d ${OUTPUT_DIR}/${DATASET}
|
||||
bash scripts/${DATASET}/transform.sh ${OUTPUT_DIR}/${DATASET}/
|
||||
|
||||
DATASET=www.nrscotland.gov.uk
|
||||
wget -nv --read-timeout=30 --tries=3 --waitretry=5 https://www.nrscotland.gov.uk/files//statistics/babies-first-names-full-list/2010-2019/babies-first-names-17-historical-16.csv -P ${OUTPUT_DIR}/${DATASET}
|
||||
wget -nv --read-timeout=30 --tries=3 --waitretry=5 https://www.nrscotland.gov.uk/files//statistics/babies-first-names-full-list/2010-2019/babies-first-names-17-historical-17.csv -P ${OUTPUT_DIR}/${DATASET}
|
||||
wget -nv --read-timeout=30 --tries=3 --waitretry=5 https://www.nrscotland.gov.uk/files//statistics/babies-first-names-full-list/2010-2019/babies-first-names-2010.csv -P ${OUTPUT_DIR}/${DATASET}
|
||||
wget -nv --read-timeout=30 --tries=3 --waitretry=5 https://www.nrscotland.gov.uk/files//statistics/babies-first-names-full-list/2010-2019/babies-first-names-2011.csv -P ${OUTPUT_DIR}/${DATASET}
|
||||
wget -nv --read-timeout=30 --tries=3 --waitretry=5 https://www.nrscotland.gov.uk/files//statistics/babies-first-names-full-list/2010-2019/babies-first-names-2012.csv -P ${OUTPUT_DIR}/${DATASET}
|
||||
wget -nv --read-timeout=30 --tries=3 --waitretry=5 https://www.nrscotland.gov.uk/files//statistics/babies-first-names-full-list/2010-2019/babies-first-names-2013.csv -P ${OUTPUT_DIR}/${DATASET}
|
||||
wget -nv --read-timeout=30 --tries=3 --waitretry=5 https://www.nrscotland.gov.uk/files//statistics/babies-first-names-full-list/2010-2019/babies-first-names-2014.csv -P ${OUTPUT_DIR}/${DATASET}
|
||||
wget -nv --read-timeout=30 --tries=3 --waitretry=5 https://www.nrscotland.gov.uk/files//statistics/babies-first-names-full-list/2010-2019/babies-first-names-2015.csv -P ${OUTPUT_DIR}/${DATASET}
|
||||
export LC_ALL=C; bash scripts/${DATASET}/transform.sh ${OUTPUT_DIR}/${DATASET}/
|
||||
|
||||
DATASET=www2.census.gov.1990surnames
|
||||
wget -nv --read-timeout=30 --tries=3 --waitretry=5 https://www2.census.gov/topics/genealogy/1990surnames/dist.all.last -P ${OUTPUT_DIR}/${DATASET}
|
||||
bash scripts/${DATASET}/transform.sh ${OUTPUT_DIR}/${DATASET}/
|
||||
|
||||
#wget -nv --read-timeout=30 --tries=3 --waitretry=5 https://raw.githubusercontent.com/smashew/NameDatabases/master/NamesDatabases/first%20names/all.txt -P ${OUTPUT_DIR}/${DATASET}
|
||||
#wget -nv --read-timeout=30 --tries=3 --waitretry=5 https://raw.githubusercontent.com/smashew/NameDatabases/master/NamesDatabases/first%20names/us.txt -P ${OUTPUT_DIR}/${DATASET}
|
||||
#wget -nv --read-timeout=30 --tries=3 --waitretry=5 https://static1.squarespace.com/static/588c1f531e5b6c553fe26beb/t/59e8fd7d017db27f7ad2ef7a/1508441525530/F104B59A-C180-4DD1-982B-99A536ACA55F.jpeg-P ${OUTPUT_DIR}/${DATASET}
|
||||
|
||||
echo "Generating the first and last names files"
|
||||
export LC_CTYPE=C; find ${OUTPUT_DIR} -name '*irst*.out' -print0 | xargs -0 cat | awk '{print tolower($0)}' | awk '{$1=$1};1' | grep -v '@' | grep -v '"' | grep -v '\.' | grep -v '+' | grep -v ' ' | sort | uniq > ${OUTPUT_DIR}/first_names.all.txt
|
||||
export LC_CTYPE=C; find ${OUTPUT_DIR} -name '*last*.out' -print0 | xargs -0 cat | awk '{print tolower($0)}' | awk '{$1=$1};1' | grep -v '@' | grep -v '"' | grep -v '\.' | grep -v '+' | grep -v ' ' | sort | uniq > ${OUTPUT_DIR}/last_names.all.txt
|
||||
|
||||
python diff.py ${OUTPUT_DIR}/last_names.all.txt ../eng_dictionary/google-10000-english-no-names.txt ${OUTPUT_DIR}/last_names.all.txt -
|
||||
python diff.py ${OUTPUT_DIR}/first_names.all.txt ../eng_dictionary/google-10000-english-no-names.txt ${OUTPUT_DIR}/first_names.all.txt -
|
||||
|
||||
echo "--------------------------------------------------"
|
||||
echo "Done. Output directory is ${OUTPUT_DIR}/."
|
||||
echo "> find ${OUTPUT_DIR} | grep '.out' to find the aux files."
|
||||
echo " First names: ${OUTPUT_DIR}/first_names.all.txt."
|
||||
echo " Last names: ${OUTPUT_DIR}/last_names.all.txt."
|
||||
echo "--------------------------------------------------"
|
||||
|
||||
|
|
@ -0,0 +1,12 @@
|
|||
#!/usr/bin/env bash
|
||||
|
||||
cp output/first_names.all.txt ../names_dataset/
|
||||
cp output/last_names.all.txt ../names_dataset/
|
||||
|
||||
cd ..
|
||||
|
||||
pip install . --upgrade
|
||||
pip install scikit-learn
|
||||
|
||||
python evaluate.py english_common_words/1000.txt
|
||||
python evaluate.py english_common_words/google-10000-english.txt
|
||||
|
|
@ -0,0 +1,2 @@
|
|||
#!/usr/bin/env bash
|
||||
cat $1/firstnames.csv | cut -d ';' -f 1 > $1/firstnames.csv.out
|
||||
|
|
@ -0,0 +1,2 @@
|
|||
#!/usr/bin/env bash
|
||||
cat $1/* | cut -d ',' -f 1 > $1/first_names.csv.out
|
||||
|
|
@ -0,0 +1,3 @@
|
|||
#!/usr/bin/env bash
|
||||
cp $1/names.txt $1/first-names.csv.out
|
||||
cp $1/family.txt $1/last-names.csv.out
|
||||
|
|
@ -0,0 +1,14 @@
|
|||
#!/usr/bin/env bash
|
||||
# cat name.basics.tsv | grep -E "actor|actress" | cut -d$'\t' -f 2 | cut -d ' ' -f 1 > first_names.csv.out
|
||||
#cat name.basics.tsv | grep -E "actor|actress" | cut -d$'\t' -f 2 | cut -d ' ' -f 2 > last_names.csv.out
|
||||
|
||||
# cat name.basics.tsv | awk -F"\t" '{print $2}' | grep " " | cut -d ' ' -f 1 > first_names.csv.out
|
||||
# cat name.basics.tsv | awk -F"\t" '{print $2}' | grep " " | cut -d ' ' -f 2 > last_names.csv.out
|
||||
# sort last_names.csv.out | uniq -c | sort -bgr > out
|
||||
# cat out | grep -v ' 3' | grep -v ' 2' | grep -v ' 1' | grep -v ' 4' | awk '{$1=$1};1' | cut -d' ' -f 2 | grep -E "^[A-Za-z]+$" > last_names.csv.out
|
||||
|
||||
echo "Please be patient on this one..."
|
||||
|
||||
cat $1/name.basics.tsv | awk -F"\t" '{print $2}' | grep " " | cut -d ' ' -f 2 | sort | uniq -c | sort -bgr | grep -v ' 3 ' | grep -v ' 2 ' | grep -v ' 1 ' | grep -v ' 4 ' | awk '{$1=$1};1' | cut -d' ' -f 2 | grep -E "^[A-Za-z]+$" > $1/last_names.csv.out
|
||||
cat $1/name.basics.tsv | awk -F"\t" '{print $2}' | grep " " | cut -d ' ' -f 1 | sort | uniq -c | sort -bgr | grep -v ' 3 ' | grep -v ' 2 ' | grep -v ' 1 ' | grep -v ' 4 ' | awk '{$1=$1};1' | cut -d' ' -f 2 | grep -E "^[A-Za-z]+$" > $1/first_names.csv.out
|
||||
|
||||
|
|
@ -0,0 +1,2 @@
|
|||
#!/usr/bin/env bash
|
||||
cat $1/*.txt > $1/first_names.csv.out
|
||||
|
|
@ -0,0 +1 @@
|
|||
cat *.txt | sort | uniq > first_names.csv.out
|
||||
|
|
@ -0,0 +1,2 @@
|
|||
#!/usr/bin/env bash
|
||||
awk '{gsub(/\"/,"")};1' $1/baby-names.csv | cut -d ',' -f 2 > $1/first_names.csv.out
|
||||
|
|
@ -0,0 +1,3 @@
|
|||
import sys
|
||||
|
||||
open(sys.argv[1] + '.out', 'w').write('\n'.join([a.strip() for a in open(sys.argv[1], 'r').readlines()]))
|
||||
|
|
@ -0,0 +1,3 @@
|
|||
#!/usr/bin/env bash
|
||||
python transform.py CSV_Database_of_Last_Names.csv
|
||||
python transform.py CSV_Database_of_First_Names.csv
|
||||
|
|
@ -0,0 +1,3 @@
|
|||
#!/usr/bin/env bash
|
||||
cat $1/* | cut -d , -f 1 > $1/last_names.csv.out
|
||||
cat $1/* | cut -d , -f 2 > $1/first_names.csv.out
|
||||
|
|
@ -0,0 +1,4 @@
|
|||
#!/usr/bin/env bash
|
||||
export LC_CTYPE=C
|
||||
cat $1/bc-popular-boys-names.csv | cut -d ',' -f 1 >> $1/firstnames.csv.out
|
||||
cat $1/bc-popular-girls-names.csv | cut -d ',' -f 1 >> $1/firstnames.csv.out
|
||||
|
|
@ -0,0 +1,2 @@
|
|||
#!/usr/bin/env bash
|
||||
cat $1/*.txt | cut -d ',' -f 1 > $1/first_names.csv.out
|
||||
|
|
@ -0,0 +1,2 @@
|
|||
#!/usr/bin/env bash
|
||||
cat $1/* | cut -d ',' -f 2 > $1/first_names.csv.out
|
||||
|
|
@ -0,0 +1,2 @@
|
|||
#!/usr/bin/env bash
|
||||
cat $1/dist.all.last | cut -d ' ' -f 1 > $1/last_names.csv.out
|
||||
|
|
@ -0,0 +1,3 @@
|
|||
import sys
|
||||
|
||||
open(sys.argv[1] + '.out', 'w').write('\n'.join([a.strip() for a in open(sys.argv[1], 'r').readlines()]))
|
||||
|
|
@ -0,0 +1,6 @@
|
|||
#!/usr/bin/env bash
|
||||
#cp $1/CSV_Database_of_First_Names.csv $1/CSV_Database_of_First_Names.csv.out
|
||||
#cp $1/CSV_Database_of_Last_Names.csv $1/CSV_Database_of_Last_Names.csv.out
|
||||
|
||||
python $(pwd)/transform.py $1/CSV_Database_of_Last_Names.csv
|
||||
python $(pwd)/transform.py $1/CSV_Database_of_First_Names.csv
|
||||
|
|
@ -0,0 +1,34 @@
|
|||
import os
|
||||
import sys
|
||||
|
||||
from evaluate import read_dict_file
|
||||
from names_dataset import NameDataset
|
||||
|
||||
def main():
|
||||
m = NameDataset()
|
||||
if os.path.isfile(sys.argv[1]):
|
||||
words = read_dict_file(sys.argv[1])
|
||||
else:
|
||||
words = [sys.argv[1]]
|
||||
|
||||
# cheap word tokenizer.
|
||||
words = ' '.join(words).replace('.', ' ').replace('?', ' ').replace('\'', ' ').split(' ')
|
||||
output = ''
|
||||
for word in words:
|
||||
if m.search_first_name(word, use_upper_case=True):
|
||||
output += '\e[44m'
|
||||
output += word
|
||||
output += '\e[0m'
|
||||
elif m.search_last_name(word, use_upper_case=True):
|
||||
output += '\e[46m'
|
||||
output += word
|
||||
output += '\e[0m'
|
||||
|
||||
else:
|
||||
output += word
|
||||
output += ' '
|
||||
print(output)
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
main()
|
||||
|
|
@ -0,0 +1,3 @@
|
|||
from names_dataset.query import NameDataset
|
||||
|
||||
__version__ = '1.9.1'
|
||||
|
|
@ -0,0 +1,52 @@
|
|||
import os
|
||||
|
||||
|
||||
def _query(search_set, key, use_upper_case):
|
||||
if use_upper_case and key.title() != key:
|
||||
return False
|
||||
return key.strip().lower() in search_set
|
||||
|
||||
|
||||
class NameDataset:
|
||||
FIRST_NAME_SEARCH = 0
|
||||
LAST_NAME_SEARCH = 1
|
||||
|
||||
def __init__(self):
|
||||
first_names_filename = os.path.join(os.path.dirname(__file__), 'first_names.all.txt')
|
||||
with open(first_names_filename, 'r', errors='ignore', encoding='utf8') as r:
|
||||
self.first_names = set(r.read().strip().split('\n'))
|
||||
last_names_filename = os.path.join(os.path.dirname(__file__), 'last_names.all.txt')
|
||||
with open(last_names_filename, 'r', errors='ignore', encoding='utf8') as r:
|
||||
self.last_names = set(r.read().strip().split('\n'))
|
||||
|
||||
def search_first_name(self, first_name, use_upper_case=False):
|
||||
return _query(self.first_names, first_name, use_upper_case)
|
||||
|
||||
def search_last_name(self, last_name, use_upper_case=False):
|
||||
return _query(self.last_names, last_name, use_upper_case)
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
import sys
|
||||
|
||||
if sys.version_info < (3, 0):
|
||||
print('Please use Python3+')
|
||||
exit(1)
|
||||
|
||||
if len(sys.argv) < 2:
|
||||
print('Give names separated by a comma as input.')
|
||||
sys.exit(1)
|
||||
m = NameDataset()
|
||||
names_list = sys.argv[1].split(',')
|
||||
print('----- First names ----')
|
||||
print('Name'.ljust(30), 'Present?')
|
||||
for name in names_list:
|
||||
# ljust just for aesthetic reasons ;)
|
||||
print(str(name).ljust(30), m.search_first_name(name))
|
||||
|
||||
print('----- Last names ----')
|
||||
print('Name'.ljust(30), 'Present?')
|
||||
for name in names_list:
|
||||
# ljust just for aesthetic reasons ;)
|
||||
print(str(name).ljust(30), m.search_last_name(name))
|
||||
sys.exit(0)
|
||||
|
|
@ -0,0 +1,21 @@
|
|||
import os
|
||||
|
||||
from setuptools import setup, find_packages
|
||||
|
||||
VERSION = '1.9.1'
|
||||
|
||||
package_name = find_packages()[0]
|
||||
|
||||
setup(
|
||||
name='names-dataset',
|
||||
version=VERSION,
|
||||
description='Probably the biggest dataset of Names, worldwide',
|
||||
author='Philippe Remy',
|
||||
license='MIT',
|
||||
packages=[package_name],
|
||||
include_package_data=True,
|
||||
data_files=[(package_name, [
|
||||
os.path.join(package_name, 'first_names.all.txt'),
|
||||
os.path.join(package_name, 'last_names.all.txt')
|
||||
])]
|
||||
)
|
||||
Loading…
Reference in New Issue