Put all languages into results.json, replace pyglottolog

.gitignore

@@ -1,8 +1,5 @@
 floresp-*
-glottolog-*
 fleurs
-LanguageCodes.tab
-ScriptCodes.csv
 .cache
 .env
 

data/{data.txt → INFO}

@@ -1,5 +1,4 @@
+fleurs: https://huggingface.co/datasets/google/fleurs via eval.py
 floresp-v2.0-rc.3: https://github.com/openlanguagedata/flores
-glottolog-5.1: https://github.com/glottolog/glottolog
-languages.csv: generated from https://query.wikidata.org/ using the languages.rq query
-LanguageCodes.tab: https://www.ethnologue.com/
+glottolog_languoid.csv: https://glottolog.org/meta/downloads
 ScriptCodes.csv: https://www.unicode.org/iso15924/iso15924-codes.html

data/ScriptCodes.csv

@@ -0,0 +1,225 @@
+Code,"N°","English Name","Nom français",Alias,Age,Date
+Adlm,166,Adlam,adlam,Adlam,9.0,"2016-12-05"
+Afak,439,Afaka,afaka,"","","2010-12-21"
+Aghb,239,"Caucasian Albanian",aghbanien,Caucasian_Albanian,7.0,"2014-11-15"
+Ahom,338,"Ahom, Tai Ahom","âhom",Ahom,8.0,"2015-07-07"
+Arab,160,Arabic,arabe,Arabic,1.1,"2004-05-01"
+Aran,161,"Arabic (Nastaliq variant)","arabe (variante nastalique)","",1.1,"2014-11-15"
+Armi,124,"Imperial Aramaic","araméen impérial",Imperial_Aramaic,5.2,"2009-06-01"
+Armn,230,Armenian,"arménien",Armenian,1.1,"2004-05-01"
+Avst,134,Avestan,avestique,Avestan,5.2,"2009-06-01"
+Bali,360,Balinese,balinais,Balinese,5.0,"2006-10-10"
+Bamu,435,Bamum,bamoum,Bamum,5.2,"2009-06-01"
+Bass,259,"Bassa Vah",bassa,Bassa_Vah,7.0,"2014-11-15"
+Batk,365,Batak,batak,Batak,6.0,"2010-07-23"
+Beng,325,"Bengali (Bangla)","bengalî (bangla)",Bengali,1.1,"2016-12-05"
+Bhks,334,Bhaiksuki,"bhaïksukî",Bhaiksuki,9.0,"2016-12-05"
+Blis,550,Blissymbols,"symboles Bliss","","","2004-05-01"
+Bopo,285,Bopomofo,bopomofo,Bopomofo,1.1,"2004-05-01"
+Brah,300,Brahmi,brahma,Brahmi,6.0,"2010-07-23"
+Brai,570,Braille,braille,Braille,3.0,"2004-05-01"
+Bugi,367,Buginese,bouguis,Buginese,4.1,"2006-06-21"
+Buhd,372,Buhid,bouhide,Buhid,3.2,"2004-05-01"
+Cakm,349,Chakma,chakma,Chakma,6.1,"2012-02-06"
+Cans,440,"Unified Canadian Aboriginal Syllabics","syllabaire autochtone canadien unifié",Canadian_Aboriginal,3.0,"2004-05-29"
+Cari,201,Carian,carien,Carian,5.1,"2007-07-02"
+Cham,358,Cham,"cham (čam, tcham)",Cham,5.1,"2009-11-11"
+Cher,445,Cherokee,"tchérokî",Cherokee,3.0,"2004-05-01"
+Chis,298,Chisoi,chisoi,"","","2023-09-12"
+Chrs,109,Chorasmian,chorasmien,Chorasmian,13.0,"2019-08-19"
+Cirt,291,Cirth,cirth,"","","2004-05-01"
+Copt,204,Coptic,copte,Coptic,4.1,"2006-06-21"
+Cpmn,402,"Cypro-Minoan","syllabaire chypro-minoen",Cypro_Minoan,14.0,"2017-07-26"
+Cprt,403,"Cypriot syllabary","syllabaire chypriote",Cypriot,4.0,"2017-07-26"
+Cyrl,220,Cyrillic,cyrillique,Cyrillic,1.1,"2004-05-01"
+Cyrs,221,"Cyrillic (Old Church Slavonic variant)","cyrillique (variante slavonne)","",1.1,"2004-05-01"
+Deva,315,"Devanagari (Nagari)","dévanâgarî",Devanagari,1.1,"2004-05-01"
+Diak,342,"Dives Akuru","dives akuru",Dives_Akuru,13.0,"2019-08-19"
+Dogr,328,Dogra,dogra,Dogra,11.0,"2016-12-05"
+Dsrt,250,"Deseret (Mormon)","déseret (mormon)",Deseret,3.1,"2004-05-01"
+Dupl,755,"Duployan shorthand, Duployan stenography","sténographie Duployé",Duployan,7.0,"2014-11-15"
+Egyd,070,"Egyptian demotic","démotique égyptien","","","2004-05-01"
+Egyh,060,"Egyptian hieratic","hiératique égyptien","",5.2,"2004-05-01"
+Egyp,050,"Egyptian hieroglyphs","hiéroglyphes égyptiens",Egyptian_Hieroglyphs,5.2,"2009-06-01"
+Elba,226,Elbasan,elbasan,Elbasan,7.0,"2014-11-15"
+Elym,128,Elymaic,"élymaïque",Elymaic,12.0,"2018-08-26"
+Ethi,430,"Ethiopic (Geʻez)","éthiopien (geʻez, guèze)",Ethiopic,3.0,"2004-10-25"
+Gara,164,Garay,garay,"","","2023-09-12"
+Geok,241,"Khutsuri (Asomtavruli and Nuskhuri)","khoutsouri (assomtavrouli et nouskhouri)",Georgian,1.1,"2012-10-16"
+Geor,240,"Georgian (Mkhedruli and Mtavruli)","géorgien (mkhédrouli et mtavrouli)",Georgian,1.1,"2016-12-05"
+Glag,225,Glagolitic,glagolitique,Glagolitic,4.1,"2006-06-21"
+Gong,312,"Gunjala Gondi","gunjala gondî",Gunjala_Gondi,11.0,"2016-12-05"
+Gonm,313,"Masaram Gondi","masaram gondî",Masaram_Gondi,10.0,"2017-07-26"
+Goth,206,Gothic,gotique,Gothic,3.1,"2004-05-01"
+Gran,343,Grantha,grantha,Grantha,7.0,"2014-11-15"
+Grek,200,Greek,grec,Greek,1.1,"2004-05-01"
+Gujr,320,Gujarati,"goudjarâtî (gujrâtî)",Gujarati,1.1,"2004-05-01"
+Gukh,397,"Gurung Khema","gurung khema","","","2023-09-12"
+Guru,310,Gurmukhi,"gourmoukhî",Gurmukhi,1.1,"2004-05-01"
+Hanb,503,"Han with Bopomofo (alias for Han + Bopomofo)","han avec bopomofo (alias pour han + bopomofo)","",1.1,"2016-01-19"
+Hang,286,"Hangul (Hangŭl, Hangeul)","hangûl (hangŭl, hangeul)",Hangul,1.1,"2004-05-29"
+Hani,500,"Han (Hanzi, Kanji, Hanja)","idéogrammes han (sinogrammes)",Han,1.1,"2009-02-23"
+Hano,371,"Hanunoo (Hanunóo)","hanounóo",Hanunoo,3.2,"2004-05-29"
+Hans,501,"Han (Simplified variant)","idéogrammes han (variante simplifiée)","",1.1,"2004-05-29"
+Hant,502,"Han (Traditional variant)","idéogrammes han (variante traditionnelle)","",1.1,"2004-05-29"
+Hatr,127,Hatran,"hatrénien",Hatran,8.0,"2015-07-07"
+Hebr,125,Hebrew,"hébreu",Hebrew,1.1,"2004-05-01"
+Hira,410,Hiragana,hiragana,Hiragana,1.1,"2004-05-01"
+Hluw,080,"Anatolian Hieroglyphs (Luwian Hieroglyphs, Hittite Hieroglyphs)","hiéroglyphes anatoliens (hiéroglyphes louvites, hiéroglyphes hittites)",Anatolian_Hieroglyphs,8.0,"2015-07-07"
+Hmng,450,"Pahawh Hmong","pahawh hmong",Pahawh_Hmong,7.0,"2014-11-15"
+Hmnp,451,"Nyiakeng Puachue Hmong","nyiakeng puachue hmong",Nyiakeng_Puachue_Hmong,12.0,"2017-07-26"
+Hrkt,412,"Japanese syllabaries (alias for Hiragana + Katakana)","syllabaires japonais (alias pour hiragana + katakana)",Katakana_Or_Hiragana,1.1,"2011-06-21"
+Hung,176,"Old Hungarian (Hungarian Runic)","runes hongroises (ancien hongrois)",Old_Hungarian,8.0,"2015-07-07"
+Inds,610,"Indus (Harappan)",indus,"","","2004-05-01"
+Ital,210,"Old Italic (Etruscan, Oscan, etc.)","ancien italique (étrusque, osque, etc.)",Old_Italic,3.1,"2004-05-29"
+Jamo,284,"Jamo (alias for Jamo subset of Hangul)","jamo (alias pour le sous-ensemble jamo du hangûl)","",1.1,"2016-01-19"
+Java,361,Javanese,javanais,Javanese,5.2,"2009-06-01"
+Jpan,413,"Japanese (alias for Han + Hiragana + Katakana)","japonais (alias pour han + hiragana + katakana)","",1.1,"2006-06-21"
+Jurc,510,Jurchen,jurchen,"","","2010-12-21"
+Kali,357,"Kayah Li","kayah li",Kayah_Li,5.1,"2007-07-02"
+Kana,411,Katakana,katakana,Katakana,1.1,"2004-05-01"
+Kawi,368,Kawi,kawi,Kawi,15.0,"2021-12-03"
+Khar,305,Kharoshthi,"kharochthî",Kharoshthi,4.1,"2006-06-21"
+Khmr,355,Khmer,khmer,Khmer,3.0,"2004-05-29"
+Khoj,322,Khojki,"khojkî",Khojki,7.0,"2014-11-15"
+Kitl,505,"Khitan large script","grande écriture khitan","","","2015-07-15"
+Kits,288,"Khitan small script","petite écriture khitan",Khitan_Small_Script,13.0,"2015-07-15"
+Knda,345,Kannada,"kannara (canara)",Kannada,1.1,"2004-05-29"
+Kore,287,"Korean (alias for Hangul + Han)","coréen (alias pour hangûl + han)","",1.1,"2007-06-13"
+Kpel,436,Kpelle,"kpèllé","","","2010-03-26"
+Krai,396,"Kirat Rai","kirat rai","","","2023-09-12"
+Kthi,317,Kaithi,"kaithî",Kaithi,5.2,"2009-06-01"
+Lana,351,"Tai Tham (Lanna)","taï tham (lanna)",Tai_Tham,5.2,"2009-06-01"
+Laoo,356,Lao,laotien,Lao,1.1,"2004-05-01"
+Latf,217,"Latin (Fraktur variant)","latin (variante brisée)","",1.1,"2004-05-01"
+Latg,216,"Latin (Gaelic variant)","latin (variante gaélique)","",1.1,"2004-05-01"
+Latn,215,Latin,latin,Latin,1.1,"2004-05-01"
+Leke,364,Leke,"léké","","","2015-07-07"
+Lepc,335,"Lepcha (Róng)","lepcha (róng)",Lepcha,5.1,"2007-07-02"
+Limb,336,Limbu,limbou,Limbu,4.0,"2004-05-29"
+Lina,400,"Linear A","linéaire A",Linear_A,7.0,"2014-11-15"
+Linb,401,"Linear B","linéaire B",Linear_B,4.0,"2004-05-29"
+Lisu,399,"Lisu (Fraser)","lisu (Fraser)",Lisu,5.2,"2009-06-01"
+Loma,437,Loma,loma,"","","2010-03-26"
+Lyci,202,Lycian,lycien,Lycian,5.1,"2007-07-02"
+Lydi,116,Lydian,lydien,Lydian,5.1,"2007-07-02"
+Mahj,314,Mahajani,"mahâjanî",Mahajani,7.0,"2014-11-15"
+Maka,366,Makasar,makassar,Makasar,11.0,"2016-12-05"
+Mand,140,"Mandaic, Mandaean","mandéen",Mandaic,6.0,"2010-07-23"
+Mani,139,Manichaean,"manichéen",Manichaean,7.0,"2014-11-15"
+Marc,332,Marchen,marchen,Marchen,9.0,"2016-12-05"
+Maya,090,"Mayan hieroglyphs","hiéroglyphes mayas","","","2004-05-01"
+Medf,265,"Medefaidrin (Oberi Okaime, Oberi Ɔkaimɛ)","médéfaïdrine",Medefaidrin,11.0,"2016-12-05"
+Mend,438,"Mende Kikakui","mendé kikakui",Mende_Kikakui,7.0,"2014-11-15"
+Merc,101,"Meroitic Cursive","cursif méroïtique",Meroitic_Cursive,6.1,"2012-02-06"
+Mero,100,"Meroitic Hieroglyphs","hiéroglyphes méroïtiques",Meroitic_Hieroglyphs,6.1,"2012-02-06"
+Mlym,347,Malayalam,"malayâlam",Malayalam,1.1,"2004-05-01"
+Modi,324,"Modi, Moḍī","modî",Modi,7.0,"2014-11-15"
+Mong,145,Mongolian,mongol,Mongolian,3.0,"2004-05-01"
+Moon,218,"Moon (Moon code, Moon script, Moon type)","écriture Moon","","","2006-12-11"
+Mroo,264,"Mro, Mru",mro,Mro,7.0,"2016-12-05"
+Mtei,337,"Meitei Mayek (Meithei, Meetei)","meitei mayek",Meetei_Mayek,5.2,"2009-06-01"
+Mult,323,Multani,"multanî",Multani,8.0,"2015-07-07"
+Mymr,350,"Myanmar (Burmese)",birman,Myanmar,3.0,"2004-05-01"
+Nagm,295,"Nag Mundari","nag mundari",Nag_Mundari,15.0,"2021-12-03"
+Nand,311,Nandinagari,"nandinâgarî",Nandinagari,12.0,"2018-08-26"
+Narb,106,"Old North Arabian (Ancient North Arabian)","nord-arabique",Old_North_Arabian,7.0,"2014-11-15"
+Nbat,159,Nabataean,"nabatéen",Nabataean,7.0,"2014-11-15"
+Newa,333,"Newa, Newar, Newari, Nepāla lipi","néwa, néwar, néwari, nepāla lipi",Newa,9.0,"2016-12-05"
+Nkdb,085,"Naxi Dongba (na²¹ɕi³³ to³³ba²¹, Nakhi Tomba)","naxi dongba","","","2017-07-26"
+Nkgb,420,"Naxi Geba (na²¹ɕi³³ gʌ²¹ba²¹, 'Na-'Khi ²Ggŏ-¹baw, Nakhi Geba)","naxi geba, nakhi geba","","","2017-07-26"
+Nkoo,165,"N’Ko","n’ko",Nko,5.0,"2006-10-10"
+Nshu,499,"Nüshu","nüshu",Nushu,10.0,"2017-07-26"
+Ogam,212,Ogham,ogam,Ogham,3.0,"2004-05-01"
+Olck,261,"Ol Chiki (Ol Cemet’, Ol, Santali)","ol tchiki",Ol_Chiki,5.1,"2007-07-02"
+Onao,296,"Ol Onal","ol onal","","","2023-09-12"
+Orkh,175,"Old Turkic, Orkhon Runic",orkhon,Old_Turkic,5.2,"2009-06-01"
+Orya,327,"Oriya (Odia)","oriyâ (odia)",Oriya,1.1,"2016-12-05"
+Osge,219,Osage,osage,Osage,9.0,"2016-12-05"
+Osma,260,Osmanya,osmanais,Osmanya,4.0,"2004-05-01"
+Ougr,143,"Old Uyghur","ancien ouïgour",Old_Uyghur,14.0,"2021-01-25"
+Palm,126,Palmyrene,"palmyrénien",Palmyrene,7.0,"2014-11-15"
+Pauc,263,"Pau Cin Hau","paou chin haou",Pau_Cin_Hau,7.0,"2014-11-15"
+Pcun,015,"Proto-Cuneiform","proto-cunéiforme","","","2021-01-25"
+Pelm,016,"Proto-Elamite","proto-élamite","","","2021-01-25"
+Perm,227,"Old Permic","ancien permien",Old_Permic,7.0,"2014-11-15"
+Phag,331,"Phags-pa","’phags pa",Phags_Pa,5.0,"2006-10-10"
+Phli,131,"Inscriptional Pahlavi","pehlevi des inscriptions",Inscriptional_Pahlavi,5.2,"2009-06-01"
+Phlp,132,"Psalter Pahlavi","pehlevi des psautiers",Psalter_Pahlavi,7.0,"2014-11-15"
+Phlv,133,"Book Pahlavi","pehlevi des livres","","","2007-07-15"
+Phnx,115,Phoenician,"phénicien",Phoenician,5.0,"2006-10-10"
+Plrd,282,"Miao (Pollard)","miao (Pollard)",Miao,6.1,"2012-02-06"
+Piqd,293,"Klingon (KLI pIqaD)","klingon (pIqaD du KLI)","","","2015-12-16"
+Prti,130,"Inscriptional Parthian","parthe des inscriptions",Inscriptional_Parthian,5.2,"2009-06-01"
+Psin,103,"Proto-Sinaitic","proto-sinaïtique","","","2021-01-25"
+Qaaa,900,"Reserved for private use (start)","réservé à l’usage privé (début)","","","2004-05-29"
+Qabx,949,"Reserved for private use (end)","réservé à l’usage privé (fin)","","","2004-05-29"
+Ranj,303,Ranjana,ranjana,"","","2021-01-25"
+Rjng,363,"Rejang (Redjang, Kaganga)","redjang (kaganga)",Rejang,5.1,"2009-02-23"
+Rohg,167,"Hanifi Rohingya","hanifi rohingya",Hanifi_Rohingya,11.0,"2017-11-21"
+Roro,620,Rongorongo,rongorongo,"","","2004-05-01"
+Runr,211,Runic,runique,Runic,3.0,"2004-05-01"
+Samr,123,Samaritan,samaritain,Samaritan,5.2,"2009-06-01"
+Sara,292,Sarati,sarati,"","","2004-05-29"
+Sarb,105,"Old South Arabian","sud-arabique, himyarite",Old_South_Arabian,5.2,"2009-06-01"
+Saur,344,Saurashtra,saurachtra,Saurashtra,5.1,"2007-07-02"
+Sgnw,095,SignWriting,"SignÉcriture, SignWriting",SignWriting,8.0,"2015-07-07"
+Shaw,281,"Shavian (Shaw)","shavien (Shaw)",Shavian,4.0,"2004-05-01"
+Shrd,319,"Sharada, Śāradā","charada, shard",Sharada,6.1,"2012-02-06"
+Shui,530,Shuishu,shuishu,"","","2017-07-26"
+Sidd,302,"Siddham, Siddhaṃ, Siddhamātṛkā",siddham,Siddham,7.0,"2014-11-15"
+Sidt,180,Sidetic,"sidétique","","","2023-09-12"
+Sind,318,"Khudawadi, Sindhi","khoudawadî, sindhî",Khudawadi,7.0,"2014-11-15"
+Sinh,348,Sinhala,singhalais,Sinhala,3.0,"2004-05-01"
+Sogd,141,Sogdian,sogdien,Sogdian,11.0,"2017-11-21"
+Sogo,142,"Old Sogdian","ancien sogdien",Old_Sogdian,11.0,"2017-11-21"
+Sora,398,"Sora Sompeng","sora sompeng",Sora_Sompeng,6.1,"2012-02-06"
+Soyo,329,Soyombo,soyombo,Soyombo,10.0,"2017-07-26"
+Sund,362,Sundanese,sundanais,Sundanese,5.1,"2007-07-02"
+Sunu,274,Sunuwar,sunuwar,"","","2021-12-03"
+Sylo,316,"Syloti Nagri","sylotî nâgrî",Syloti_Nagri,4.1,"2006-06-21"
+Syrc,135,Syriac,syriaque,Syriac,3.0,"2004-05-01"
+Syre,138,"Syriac (Estrangelo variant)","syriaque (variante estranghélo)","",3.0,"2004-05-01"
+Syrj,137,"Syriac (Western variant)","syriaque (variante occidentale)","",3.0,"2004-05-01"
+Syrn,136,"Syriac (Eastern variant)","syriaque (variante orientale)","",3.0,"2004-05-01"
+Tagb,373,Tagbanwa,tagbanoua,Tagbanwa,3.2,"2004-05-01"
+Takr,321,"Takri, Ṭākrī, Ṭāṅkrī","tâkrî",Takri,6.1,"2012-02-06"
+Tale,353,"Tai Le","taï-le",Tai_Le,4.0,"2004-10-25"
+Talu,354,"New Tai Lue","nouveau taï-lue",New_Tai_Lue,4.1,"2006-06-21"
+Taml,346,Tamil,tamoul,Tamil,1.1,"2004-05-01"
+Tang,520,Tangut,tangoute,Tangut,9.0,"2016-12-05"
+Tavt,359,"Tai Viet","taï viêt",Tai_Viet,5.2,"2009-06-01"
+Tayo,380,"Tai Yo","taï yo","","","2023-09-12"
+Telu,340,Telugu,"télougou",Telugu,1.1,"2004-05-01"
+Teng,290,Tengwar,tengwar,"","","2004-05-01"
+Tfng,120,"Tifinagh (Berber)","tifinagh (berbère)",Tifinagh,4.1,"2006-06-21"
+Tglg,370,"Tagalog (Baybayin, Alibata)","tagal (baybayin, alibata)",Tagalog,3.2,"2009-02-23"
+Thaa,170,Thaana,"thâna",Thaana,3.0,"2004-05-01"
+Thai,352,Thai,"thaï",Thai,1.1,"2004-05-01"
+Tibt,330,Tibetan,"tibétain",Tibetan,2.0,"2004-05-01"
+Tirh,326,Tirhuta,tirhouta,Tirhuta,7.0,"2014-11-15"
+Tnsa,275,Tangsa,tangsa,Tangsa,14.0,"2021-02-17"
+Todr,229,Todhri,todhri,"","","2023-09-12"
+Tols,299,"Tolong Siki","tolong siki","","","2023-09-12"
+Toto,294,Toto,toto,Toto,14.0,"2020-04-16"
+Tutg,341,"Tulu-Tigalari","tulu-tigalari","","","2023-09-12"
+Ugar,040,Ugaritic,ougaritique,Ugaritic,4.0,"2004-05-01"
+Vaii,470,Vai,"vaï",Vai,5.1,"2007-07-02"
+Visp,280,"Visible Speech","parole visible","","","2004-05-01"
+Vith,228,Vithkuqi,vithkuqi,Vithkuqi,14.0,"2021-02-17"
+Wara,262,"Warang Citi (Varang Kshiti)","warang citi",Warang_Citi,7.0,"2014-11-15"
+Wcho,283,Wancho,wantcho,Wancho,12.0,"2017-07-26"
+Wole,480,Woleai,"woléaï","","","2010-12-21"
+Xpeo,030,"Old Persian","cunéiforme persépolitain",Old_Persian,4.1,"2006-06-21"
+Xsux,020,"Cuneiform, Sumero-Akkadian","cunéiforme suméro-akkadien",Cuneiform,5.0,"2006-10-10"
+Yezi,192,Yezidi,"yézidi",Yezidi,13.0,"2019-08-19"
+Yiii,460,Yi,yi,Yi,3.0,"2004-05-01"
+Zanb,339,"Zanabazar Square (Zanabazarin Dörböljin Useg, Xewtee Dörböljin Bicig, Horizontal Square Script)","zanabazar quadratique",Zanabazar_Square,10.0,"2017-07-26"
+Zinh,994,"Code for inherited script","codet pour écriture héritée",Inherited,"","2009-02-23"
+Zmth,995,"Mathematical notation","notation mathématique","",3.2,"2007-11-26"
+Zsye,993,"Symbols (Emoji variant)","symboles (variante émoji)","",6.0,"2015-12-16"
+Zsym,996,Symbols,symboles,"",1.1,"2007-11-26"
+Zxxx,997,"Code for unwritten documents","codet pour les documents non écrits","","","2011-06-21"
+Zyyy,998,"Code for undetermined script","codet pour écriture indéterminée",Common,"","2004-05-29"
+Zzzz,999,"Code for uncoded script","codet pour écriture non codée",Unknown,"","2006-10-10"
+Code,"N°","English Name","Nom français",Alias,Age,Date

data/glottolog_languoid.csv/README.txt

@@ -0,0 +1,14 @@
+
+Glottolog 5.1 data download
+===========================
+
+Data of Glottolog 5.1 is published under the following license:
+https://creativecommons.org/licenses/by/4.0/
+
+It should be cited as
+
+Hammarström, Harald & Forkel, Robert & Haspelmath, Martin & Bank, Sebastian. 2024.
+Glottolog 5.1.
+Leipzig: Max Planck Institute for Evolutionary Anthropology.
+https://doi.org/10.5281/zenodo.10804357
+(Available online at http://glottolog.org, Accessed on 2024-10-29.)

data/languages.rq

@@ -1,27 +0,0 @@
-# https://query.wikidata.org/
-SELECT DISTINCT ?item (MAX(?numberOfSpeakers) AS ?maxSpeakers) (MAX(?speakersTime) AS ?mostRecentTime) ?iso639_1 ?iso639_3 ?itemLabel ?itemLabel_en
-WHERE {
-  ?item wdt:P220 ?iso639_3.          # Language with ISO 639-3 code
-
-  ?item p:P1098 ?numberOfSpeakersStatement.
-  ?numberOfSpeakersStatement ps:P1098 ?numberOfSpeakers.
-
-  OPTIONAL {
-    ?numberOfSpeakersStatement pq:P585 ?speakersTime.
-  }
-
-  OPTIONAL {
-    ?item wdt:P218 ?iso639_1.
-    ?item rdfs:label ?itemLabel_1 . FILTER(lang(?itemLabel_1) = ?iso639_1)
-  }
-  OPTIONAL {
-    ?item rdfs:label ?itemLabel_3 . FILTER(lang(?itemLabel_3) = ?iso639_3)
-  }
-  BIND(COALESCE(?itemLabel_3, ?itemLabel_1) AS ?itemLabel)
-
-  OPTIONAL {
-    ?item rdfs:label ?itemLabel_en . FILTER(lang(?itemLabel_en) = 'en')
-  }
-}
-GROUP BY ?item ?iso639_1 ?iso639_3 ?itemLabel ?itemLabel_en
-ORDER BY DESC(?maxSpeakers) DESC(?mostRecentTime)

evals.py

@@ -19,7 +19,6 @@ from joblib.memory import Memory
 from langcodes import Language, standardize_tag
 from language_data.population_data import LANGUAGE_SPEAKING_POPULATION
 from openai import AsyncOpenAI
-from pyglottolog import Glottolog
 from requests import get
 from rich import print
 from tqdm.asyncio import tqdm_asyncio
@@ -48,6 +47,8 @@ transcription_models = [
 ]
 transcription_model_fast = "elevenlabs/scribe_v1"
 n_sentences = 30
+n_languages = 10
+n_detailed_languages = 5
 
 # ===== setup =====
 
@@ -92,15 +93,18 @@ def population(bcp_47):
     }
     return items
 
-
-glottolog = Glottolog("data/glottolog-5.1")
-
+glottolog = pd.read_csv("data/glottolog_languoid.csv/languoid.csv", na_values=[""], keep_default_na=False) # Min _Nan_ Chinese is not N/A!
+glottolog["bcp_47"] = glottolog["iso639P3code"].apply(
+    lambda x: standardize_tag(x, macro=True) if not pd.isna(x) else None
+)
 
 @cache
-def language_family(iso_639_3):
-    languoid = glottolog.languoid(iso_639_3)
-    return languoid.family.name if languoid else None
-
+def language_family(bcp_47):
+    languoid = glottolog[glottolog["bcp_47"] == bcp_47].iloc[0]
+    if pd.isna(languoid["family_id"]):
+        return None
+    family = glottolog[glottolog["id"] == languoid["family_id"]].iloc[0]
+    return family["name"]
 
 def script_name(iso15924):
     return scripts[scripts["iso15924"] == iso15924]["script_name"].values[0]
@@ -144,31 +148,6 @@ fleurs["bcp_47"] = fleurs["fleurs_tag"].apply(
 )
 
 
-def download_file(url, path):
-    response = requests.get(url)
-    with open(path, "wb") as f:
-        f.write(response.content)
-
-
-def download_fleurs():
-    # the huggingface loader does not allow loading only the dev set, so do it manually
-    for language in languages[languages["in_benchmark"]].itertuples():
-        tar_url = f"https://huggingface.co/datasets/google/fleurs/resolve/main/data/{language.fleurs_tag}/audio/dev.tar.gz"
-        tar_path = Path(f"data/fleurs/{language.fleurs_tag}/audio/dev.tar.gz")
-        if not tar_path.exists():
-            print(f"Downloading {tar_url} to {tar_path}")
-            tar_path.parent.mkdir(parents=True, exist_ok=True)
-            download_file(tar_url, tar_path)
-        with tarfile.open(tar_path, "r:gz") as tar:
-            tar.extractall(path=f"data/fleurs/{language.fleurs_tag}/audio")
-        tsv_url = f"https://huggingface.co/datasets/google/fleurs/resolve/main/data/{language.fleurs_tag}/dev.tsv"
-        tsv_path = Path(f"data/fleurs/{language.fleurs_tag}/dev.tsv")
-        if not tsv_path.exists():
-            print(f"Downloading {tsv_url} to {tsv_path}")
-            tsv_path.parent.mkdir(parents=True, exist_ok=True)
-            download_file(tsv_url, tsv_path)
-
-
 # load CommonVoice stats
 @cache  # cache for 1 day
 def get_commonvoice_stats(date: date):
@@ -203,14 +182,40 @@ languages = pd.merge(
 )  # "left" because keep it simple for now
 languages["in_benchmark"] = languages["bcp_47"].isin(benchmark_languages["bcp_47"])
 
-languages = languages.sort_values(by="speakers", ascending=False).iloc[:10]
+languages = languages.sort_values(by="speakers", ascending=False)
 
 # sample languages to translate to
 target_languages = languages[languages["in_benchmark"]].sample(
     n=n_sentences, weights="speakers", replace=True, random_state=42
 )
-# sample languages to analyze with all models
-detailed_languages = languages[languages["in_benchmark"]].iloc[:5]
+langs_eval = languages.iloc[:n_languages]
+langs_eval_detailed = languages.iloc[:n_detailed_languages]
+
+
+def download_file(url, path):
+    response = requests.get(url)
+    with open(path, "wb") as f:
+        f.write(response.content)
+
+
+def download_fleurs():
+    # the huggingface loader does not allow loading only the dev set, so do it manually
+    for language in langs_eval.itertuples():
+        tar_url = f"https://huggingface.co/datasets/google/fleurs/resolve/main/data/{language.fleurs_tag}/audio/dev.tar.gz"
+        tar_path = Path(f"data/fleurs/{language.fleurs_tag}/audio/dev.tar.gz")
+        audio_path = Path(f"data/fleurs/{language.fleurs_tag}/audio")
+        if not audio_path.exists():
+            print(f"Downloading {tar_url} to {tar_path}")
+            tar_path.parent.mkdir(parents=True, exist_ok=True)
+            download_file(tar_url, tar_path)
+            with tarfile.open(tar_path, "r:gz") as tar:
+                tar.extractall(path=audio_path)
+        tsv_url = f"https://huggingface.co/datasets/google/fleurs/resolve/main/data/{language.fleurs_tag}/dev.tsv"
+        tsv_path = Path(f"data/fleurs/{language.fleurs_tag}/dev.tsv")
+        if not tsv_path.exists():
+            print(f"Downloading {tsv_url} to {tsv_path}")
+            tsv_path.parent.mkdir(parents=True, exist_ok=True)
+            download_file(tsv_url, tsv_path)
 
 
 # ===== define tasks and metrics =====
@@ -444,12 +449,12 @@ async def main():
     translation_scores = [
         translate_and_evaluate(model, original_language.bcp_47, i)
         for i in range(n_sentences)
-        for original_language in languages.itertuples()
+        for original_language in langs_eval.itertuples()
         for model in models
         if original_language.in_benchmark
         and (
             model == model_fast
-            or original_language.bcp_47 in detailed_languages.bcp_47.values
+            or original_language.bcp_47 in langs_eval_detailed.bcp_47.values
         )
     ]
     translation_scores = await tqdm_asyncio.gather(*translation_scores, miniters=1)
@@ -457,10 +462,12 @@ async def main():
     classification_scores = [
         classify_and_evaluate(model, language.bcp_47, i)
         for i in range(n_sentences)
-        for language in languages.itertuples()
+        for language in langs_eval.itertuples()
         for model in models
         if language.in_benchmark
-        and (model == model_fast or language.bcp_47 in detailed_languages.bcp_47.values)
+        and (
+            model == model_fast or language.bcp_47 in langs_eval_detailed.bcp_47.values
+        )
     ]
     classification_scores = await tqdm_asyncio.gather(
         *classification_scores, miniters=1
@@ -469,22 +476,24 @@ async def main():
     mlm_scores = [
         mlm_and_evaluate(model, language.bcp_47, i)
         for i in range(n_sentences)
-        for language in languages.itertuples()
+        for language in langs_eval.itertuples()
         for model in models
         if language.in_benchmark
-        and (model == model_fast or language.bcp_47 in detailed_languages.bcp_47.values)
+        and (
+            model == model_fast or language.bcp_47 in langs_eval_detailed.bcp_47.values
+        )
     ]
     mlm_scores = await tqdm_asyncio.gather(*mlm_scores, miniters=1)
     print("evaluate transcription")
     transcription_scores = [
         transcribe_and_evaluate(model, language.bcp_47, i)
         for i in range(n_sentences)
-        for language in languages.itertuples()
+        for language in langs_eval.itertuples()
         for model in transcription_models
         if language.in_benchmark
         and (
             model == transcription_model_fast
-            or language.bcp_47 in detailed_languages.bcp_47.values
+            or language.bcp_47 in langs_eval_detailed.bcp_47.values
         )
     ]
     transcription_scores = await tqdm_asyncio.gather(*transcription_scores, miniters=1)
@@ -544,34 +553,33 @@ async def main():
                     "overall_score": (asr_wer + asr_chrf) / 2,
                 }
             )
-        if results:
-            language_results = {
-                "language_name": language.language_name,
-                "bcp_47": language.bcp_47,
-                "speakers": language.speakers,
-                "scores": results,
-                "commonvoice_hours": language.commonvoice_hours
-                if not pd.isna(language.commonvoice_hours)
-                else None,
-                "commonvoice_locale": language.commonvoice_locale
-                if not pd.isna(language.commonvoice_locale)
-                else None,
-                "population": population(language.bcp_47),
-                "language_family": language_family(language.flores_path.split("_")[0]),
-            }
-            for score in [
-                "mt_bleu",
-                "mt_chrf",
-                "cls_acc",
-                "mlm_chrf",
-                "asr_wer",
-                "asr_chrf",
-                "overall_score",
-            ]:
-                language_results[score] = mean(
-                    [s[score] for s in results if score in s]
-                )
-            all_results.append(language_results)
+        language_results = {
+            "language_name": language.language_name,
+            "bcp_47": language.bcp_47,
+            "speakers": language.speakers,
+            "scores": results,
+            "commonvoice_hours": language.commonvoice_hours
+            if not pd.isna(language.commonvoice_hours)
+            else None,
+            "commonvoice_locale": language.commonvoice_locale
+            if not pd.isna(language.commonvoice_locale)
+            else None,
+            "population": population(language.bcp_47),
+            "language_family": language_family(language.bcp_47),
+        }
+        for score in [
+            "mt_bleu",
+            "mt_chrf",
+            "cls_acc",
+            "mlm_chrf",
+            "asr_wer",
+            "asr_chrf",
+            "overall_score",
+        ]:
+            language_results[score] = mean(
+                [s[score] for s in results if score in s]
+            )
+        all_results.append(language_results)
     with open("results.json", "w") as f:
         json.dump(all_results, f, indent=2, ensure_ascii=False)
 

pyproject.toml

@@ -24,7 +24,6 @@ dev-dependencies = [
     "langcodes>=3.5.0",
     "openai>=1.52.2",
     "protobuf>=5.28.3",
-    "pyglottolog>=3.14.0",
     "python-dotenv>=1.0.1",
     "sacrebleu>=2.4.3",
     "sentencepiece>=0.2.0",

uv.lock

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 [[package]]
 name = "bert-score"
 version = "0.3.13"
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 version = "8.1.8"
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-    { name = "attrs" },
-    { name = "colorlog" },
-    { name = "lxml" },
-    { name = "markdown" },
-    { name = "markupsafe" },
-    { name = "pylatexenc" },
-    { name = "python-dateutil" },
-    { name = "tabulate" },
-]
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-[[package]]
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-version = "1.9.2"
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