This dataset has all entry from wikidata who has Japanese citizenship and a wiki article, 231k in total. The dataset is on Kaggle<\/a>.<\/p>\n A dataset like this can only be built from data that’s already public, and Wikipedia is the largest source of that kind of public personal information. There are structured people datasets out there, but none cover as many Japanese entries as this one, which makes this the largest dataset of its kind.<\/p>\n I Queried via SPARQL against the QLever Wikidata endpoint, then cleaned\/normalized with Python (name cleaning\/splitting, BMI calculation, etc). dataset is in CSV format, 65MB. with multiple entry column separated with “|”<\/p>\n Sample rows<\/strong> (two people picked so together they cover every column):<\/p>\n qid: Q160847 qid: Q11467665 limitations<\/strong>: The least-filled column, Crawler code : Kaggle notebook<\/a> \/ GitHub<\/a>. This dataset will be updated automatically with the crawler.<\/p>\n<\/div>\n submitted by \/u\/Careful_Sand_7838 <\/a>
kanji: \u6771\u689d \u82f1\u6a5f
hiragana: \u3068\u3046\u3058\u3087\u3046 \u3072\u3067\u304d
description: \u65e5\u672c\u306e\u9678\u8ecd\u8ecd\u4eba\u3001\u653f\u6cbb\u5bb6\u3001\u7b2c40\u4ee3\u5185\u95a3\u7dcf\u7406\u5927\u81e3(1884-1948)
gender: M
birth_year: 1884
death_year: 1948
age: 64
death_age: 64
label: \u6771\u689d\u82f1\u6a5f
name_en: Hideki Tojo
is_japanese_name: True
readings: \u3068\u3046\u3058\u3087\u3046 \u3072\u3067\u304d
occupations: \u58eb\u5b98|\u653f\u6cbb\u5bb6|\u5916\u4ea4\u5b98
birth_places: \u9eb9\u753a\u533a
alma_maters: \u6771\u4eac\u9678\u8ecd\u5e7c\u5e74\u5b66\u6821|\u9678\u8ecd\u5927\u5b66\u6821|\u9678\u8ecd\u4e2d\u592e\u5e7c\u5e74\u5b66\u6821|\u9678\u8ecd\u58eb\u5b98\u5b66\u6821
positions_held: \u5185\u52d9\u5927\u81e3|\u5185\u95a3\u7dcf\u7406\u5927\u81e3|\u5916\u52d9\u5927\u81e3|\u8ecd\u9700\u7701|\u9678\u8ecd\u7701|\u6587\u90e8\u7701|\u53c2\u8b00\u672c\u90e8|\u8fb2\u5546\u52d9\u537f
death_places: \u5de3\u9d28\u62d8\u7f6e\u6240
death_causes: \u7e0a\u6b7b
death_manners: \u6b7b\u5211
fathers: \u6771\u689d\u82f1\u6559
mothers: \u6771\u689d\u5343\u6b73
spouses: \u6771\u689d\u304b\u3064\u5b50
children: \u6771\u689d\u654f\u592b|\u6771\u689d\u8f1d\u96c4|\u6771\u689d\u6e80\u559c\u679d
awards: \u5927\u793c\u8a18\u5ff5\u7ae0|\u30c1\u30e5\u30e9\u30c1\u30e7\u30fc\u30e0\u30af\u30e9\u30fc\u30aa\u52f2\u7ae0|…(18 total)
parties: \u5927\u653f\u7ffc\u8cdb\u4f1a
notable_works: \u6771\u689d\u82f1\u6a5f\u306e\u907a\u8a00|\u5927\u8a54\u3092\u62dd\u3057\u5949\u308a\u3066
military_branches: \u5927\u65e5\u672c\u5e1d\u56fd\u9678\u8ecd|\u95a2\u6771\u8ecd
military_ranks: \u9678\u8ecd\u5927\u5c06
wiki_url: https:\/\/ja.wikipedia.org\/wiki\/\u6771\u689d\u82f1\u6a5f<\/a>
image_url: http:\/\/commons.wikimedia.org\/wiki\/Special:FilePath\/Hideki%20Tojo.jpg<\/a><\/p>\n
kanji: \u5c71\u54b2 \u30c8\u30aa\u30eb
hiragana: \u3084\u307e\u3056\u304d \u3068\u304a\u308b
description: \u65e5\u672c\u306e\u6f2b\u753b\u5bb6\u3001\u30bf\u30ec\u30f3\u30c8
gender: M
birth_year: 1969
age: 57
label: \u5c71\u54b2\u30c8\u30aa\u30eb
name_en: T\u014dru Yamazaki
is_japanese_name: True
readings: \u3084\u307e\u3056\u304d \u3068\u304a\u308b
occupations: \u30bf\u30ec\u30f3\u30c8|\u65e5\u672c\u306e\u6f2b\u753b\u5bb6
birth_places: \u6771\u4eac\u90fd
genres: \u30db\u30e9\u30fc\u6f2b\u753b
height_cm: 170.0
weight_kg: 57.0
bmi: 19.7
siblings: \u4e2d\u6ca2\u521d\u7d75
wiki_url: https:\/\/ja.wikipedia.org\/wiki\/\u5c71\u54b2\u30c8\u30aa\u30eb<\/a><\/p>\nPotential Use Cases & As a Dataset<\/h1>\n
\n\n
\n \nDataset Angle<\/th>\n Task<\/th>\n Columns<\/th>\n<\/tr>\n<\/thead>\n \n Japanese Name with Gender<\/td>\n Gender inference from name<\/td>\n kanji, hiragana, gender<\/td>\n<\/tr>\n \n Kanji, Hiragana Name Pairs<\/td>\n Reading (furigana) prediction<\/td>\n kanji, hiragana, readings<\/td>\n<\/tr>\n \n Family Relations<\/td>\n Genealogy \/ kinship network analysis<\/td>\n fathers, mothers, spouses, siblings, children<\/td>\n<\/tr>\n \n Portrait Images<\/td>\n Gender\/age\/occupation estimation<\/td>\n image_url, gender, birth_year<\/td>\n<\/tr>\n \n Athlete \/ Model Physique<\/td>\n Body-composition trend analysis by occupation<\/td>\n height_cm, weight_kg, bmi, occupations<\/td>\n<\/tr>\n \n Politicians<\/td>\n Politician attribute & career analysis<\/td>\n parties, positions_held, birth_places, alma_maters<\/td>\n<\/tr>\n \n Awards<\/td>\n Field\/attribute analysis of award recipients<\/td>\n awards, occupations, gender<\/td>\n<\/tr>\n \n Cause & Manner of Death<\/td>\n Statistical analysis of death cause and age<\/td>\n death_causes, death_manners, death_age<\/td>\n<\/tr>\n \n Birthplace \/ Alma Mater<\/td>\n Geographic distribution and education-career correlation<\/td>\n birth_places, alma_maters, occupations<\/td>\n<\/tr>\n \n Age<\/td>\n Age-based demographic analysis<\/td>\n birth_year, death_year, death_age<\/td>\n<\/tr>\n \n Writers \/ Artists Database<\/td>\n Classification of writers\/artists by notable works and genre<\/td>\n notable_works, genres, occupations<\/td>\n<\/tr>\n \n Military<\/td>\n Historical figures database<\/td>\n military_branches, military_ranks, birth_year<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n military_ranks<\/code>, has only ~3k rows filled, while the average filled-column count per row is 15.25 out of 37 (41.2%). No rows are dropped to keep this the full Wiki-derived dataset. But I added is_japanese_name<\/code> column so you can reliably excludes non-Japanese names (virtually no false negatives, ~0.1% false positives). About 1% of rows have a reversed family\/given order in the hiragana<\/code> column.<\/p>\n
[link]<\/a><\/span> [comments]<\/a><\/span><\/p>
![http:\/\/commons.wikimedia.org\/wiki\/Special:FilePath\/Hideki%20Tojo.jpg<\/a><\/p>\nqid: Q11467665 kanji: \u5c71\u54b2 \u30c8\u30aa\u30eb hiragana: \u3084\u307e\u3056\u304d \u3068\u304a\u308b description: \u65e5\u672c\u306e\u6f2b\u753b\u5bb6\u3001\u30bf\u30ec\u30f3\u30c8 gender: M birth_year: 1969 age: 57 label: \u5c71\u54b2\u30c8\u30aa\u30eb name_en: T\u014dru Yamazaki is_japanese_name: True readings: \u3084\u307e\u3056\u304d \u3068\u304a\u308b occupations: \u30bf\u30ec\u30f3\u30c8|\u65e5\u672c\u306e\u6f2b\u753b\u5bb6 birth_places: \u6771\u4eac\u90fd genres: \u30db\u30e9\u30fc\u6f2b\u753b height_cm: 170.0 weight_kg: 57.0 bmi: 19.7 siblings: \u4e2d\u6ca2\u521d\u7d75 wiki_url: https:\/\/ja.wikipedia.org\/wiki\/\u5c71\u54b2\u30c8\u30aa\u30eb<\/a><\/p>\nPotential Use Cases & As a Dataset<\/h1>\n](\"http:\/\/commons.wikimedia.org\/wiki\/Special:FilePath\/Hideki%20Tojo.jpg\"){kind=link}