universal_dependencies.py

### THIS IS A GENERATED FILE.

from dataclasses import dataclass

import conllu

import datasets


_CITATION = r"""\
@misc{11234/1-6036,
   title = {Universal Dependencies 2.17},
   author = {Zeman, Daniel and Nivre, Joakim and Abrams, Mitchell and Ackermann, Elia and Adolphe, Jephtey and Aepli, No{\"e}mi and Aghaei, Hamid and Agi{\'c}, {\v Z}eljko and Ahmadi, Amir and Ahrenberg, Lars and Ajede, Chika Kennedy and Akhundjanova, Arofat and Akkurt, Furkan and Aleksandravi{\v c}i{\=u}t{\.e}, Gabriel{\.e} and Alfina, Ika and Algom, Avner and Alnajjar, Khalid and Alzetta, Chiara and Anastasopoulos, Antonios and Andersen, Erik and Andrews, Kirk and Andrews, Matthew and Antonsen, Lene and Aoyama, Tatsuya and Aplonova, Katya and Aquino, Angelina and Aragon, Carolina and Aranes, Glyd and Aranzabe, Maria Jesus and Ar{\i}can, Bilge Nas and Arnard{\'o}ttir, {\t H}{\'o}runn and Aroonmanakun, Wirote and Arutie, Gashaw and Arwidarasti, Jessica Naraiswari and Asadpour, Hiwa and Asahara, Masayuki and {\'A}sgeirsd{\'o}ttir, Katla and Aslan, Deniz Baran and Asmazo{\u g}lu, Cengiz and Ateyah, Luma and Atmaca, Furkan and Attia, Mohammed and Atutxa, Aitziber and Augustinus, Liesbeth and Avel{\~a}s, Mariana and Badmaeva, Elena and Bajorat, Jana and Balasubramani, Keerthana and Ballesteros, Miguel and Banerjee, Esha and Bank, Sebastian and Barbosa, Bryan Khelven da Silva and Barbu Mititelu, Verginica and Barkarson, Starkaður and Basile, Rodolfo and Basmov, Victoria and Batchelor, Colin and Bauer, John and Bedir, Seyyit Talha and Behzad, Shabnam and Beiner, Nathana{\"e}l and Belieni, Juan and B{\'e}mov{\'a}, Alevtina and Bengoetxea, Kepa and Benli, İbrahim and Ben Moshe, Yifat and Benzerrak, Marie and Berdicevskis, Aleksandrs and Berg, Ansu and Berk, G{\"o}zde and Bernhard, Delphine and Berntsson Ingelstam, Astrid and Bhat, Riyaz Ahmad and Biagetti, Erica and Bick, Eckhard and Bielinskien{\.e}, Agn{\.e} and Bilgin Ta{\c s}demir, Esma Fat{\i}ma and Binici, Helin and Bjarnad{\'o}ttir, Krist{\'{\i}}n and Blaschke, Verena and Blokland, Rogier and B{\"o}bel, Nina and Bobicev, Victoria and Boizou, Lo{\"{\i}}c and Bompolas, Stavros and Bonilla, Johnatan and Borges V{\"o}lker, Emanuel and Borin, Lars and B{\"o}rstell, Carl and Bosco, Cristina and Bouma, Gosse and Bowman, Sam and Boyd, Adriane and Braggaar, Anouck and Branco, Ant{\'o}nio and Bras, Myriam and Brillet, Th{\'e}o and Brokait{\.e}, Kristina and Bu, Lanni and Bur{\'a}{\v n}ov{\'a}, Eva and Burchardt, Aljoscha and Cabeza, Carmen and C{\'a}ceres Arandia, Natalia and Caftanatov, Olesea and Campos, Marisa and Candito, Marie and Cappello, Caterina Maria and Caron, Bernard and Caron, Gauthier and Carvalheiro, Catarina and Carvalho, Rita and Cassidy, Lauren and Castro, Maria Clara and Castro, S{\'e}rgio and Cavalcanti, Tatiana and Cebiro{\u g}lu Eryi{\u g}it, G{\"u}l{\c s}en and Cecchini, Flavio Massimiliano and Celano, Giuseppe G. A. and {\c C}epani, Anila and {\v C}{\'e}pl{\"o}, Slavom{\'{\i}}r and Cesur, Neslihan and Cetin, Savas and {\c C}etino{\u g}lu, {\"O}zlem and Chalub, Fabricio and Chamila, Liyanage and Chamoreau, Claudine and Chauhan, Shweta and Chen, Yifei and Chi, Ethan and Chika, Taishi and Cho, Yongseok and Choi, Jinho and Chontaeva, Bermet and Chun, Jayeol and Chung, Juyeon and Cignarella, Alessandra T. and Cinkov{\'a}, Silvie and Cocco, Esther and Collomb, Aur{\'e}lie and {\c C}{\"o}ltekin, {\c C}a{\u g}r{\i} and Connor, Miriam and Corbetta, Claudia and Corbetta, Daniela and Costa, Francisco and Courtin, Marine and Crabb{\'e}, Beno{\^{\i}}t and Cristescu, Mihaela and Cvetkoski, Vladimir and Dahan, Netanel and Dale, Ingerid L{\o}yning and D'Al{\`{\i}}, Sabrina and Daniel, Philemon and Daoudi, Khensa and Dash, Bijayalaxmi and Dash, Satya Ranjan and Davidson, Elizabeth and de Alencar, Leonel Figueiredo and Dehouck, Mathieu and de Laurentiis, Martina and de Marneffe, Marie-Catherine and Demir, Ahmet and de Paiva, Valeria and Derin, Mehmet Oguz and de Souza, Elvis and Diaz de Ilarraza, Arantza and D{\'{\i}}az Hern{\'a}ndez, Roberto Antonio and Dickerson, Carly and Di Felippo, Ariani and Dinakaramani, Arawinda and Di Nuovo, Elisa and Dione, Bamba and Dirix, Peter and Do, Hoa and Dobrovoljc, Kaja and D{\"o}hmer, Caroline and Doyle, Adrian and Dozat, Timothy and Droganova, Kira and Duran, Magali Sanches and Dwivedi, Puneet and Ebert, Christian and Eckhoff, Hanne and Eguchi, Masaki and Eiche, Sandra and Eiselen, Roald and Eli, Marhaba and Elkahky, Ali and Ephrem, Binyam and Erina, Olga and Erjavec, Toma{\v z} and Esher, Louise and Eslami, Soudabeh and Essaidi, Farah and Etienne, Aline and Evelyn, Wograine and Facundes, Sidney and Farkas, Rich{\'a}rd and Faryad, J{\'a}n and Favero, Federica and Ferdaousi, Jannatul and Fernanda, Mar{\'{\i}}lia and Fernandez Alcalde, Hector and Fethi, Amal and Foster, Jennifer and Francioni, Barbara and Fransen, Theodorus and Freitas, Cl{\'a}udia and Fujita, Kazunori and Gajdo{\v s}ov{\'a}, Katar{\'{\i}}na and Galbraith, Daniel and Galy, Edith and Gamba, Federica and Garcia, Marcos and Garc{\'{\i}}a-Miguel, Jos{\'e} Mar{\'{\i}}a and G{\"a}rdenfors, Moa and Gaustad, Tanja and Gen{\c c}, Efe Eren and Gerardi, Fabr{\'{\i}}cio Ferraz and Gerdes, Kim and Gessler, Luke and Ginter, Filip and Godoy, Gustavo and Goenaga, Iakes and Gojenola, Koldo and G{\"o}k{\i}rmak, Memduh and Goldberg, Yoav and Goldin, Gili and G{\'o}mez Guinovart, Xavier and Gonz{\'a}lez Saavedra, Berta and Goux, Mathieu and Grici{\=u}t{\.e}, Bernadeta and Grioni, Matias and Grobol, Lo{\"{\i}}c and Gr{\=u}z{\={\i}}tis, Normunds and Guglielmetti, Mario and Guillaume, Bruno and Guiller, Kirian and Guillot-Barbance, C{\'e}line and G{\"u}ng{\"o}r, Tunga and Gurevich, Vladimir and Habash, Nizar and Hafsteinsson, Hinrik and Hahn, Michael and Haji{\v c}, Jan and Haji{\v c} jr., Jan and Haji{\v c}ov{\'a}, Eva and H{\"a}m{\"a}l{\"a}inen, Mika and H{\`a} M{\~y}, Linh and Han, Na-Rae and Hanifmuti, Muhammad Yudistira and Harada, Takahiro and Hardwick, Sam and Harris, Kim and Hassert, Na{\"{\i}}ma and Haug, Dag and Havelka, Ji{\v r}{\'{\i}} and Heinecke, Johannes and Hellwig, Oliver and Hennig, Felix and Hladk{\'a}, Barbora and Hlav{\'a}{\v c}ov{\'a}, Jaroslava and Hociung, Florinel and Hoefels, Diana and Hoff, Barbara and Hohle, Petter and Howell, Nick and Huang, Yidi and Huerta Mendez, Marivel and Hwang, Jena and Ikeda, Takumi and Iliadou, Inessa and Ingason, Anton Karl and Ion, Radu and Irimia, Elena and Ishola, {\d O}l{\'a}j{\'{\i}}d{\'e} and Islamaj, Artan and Ito, Kaoru and Iurescia, Federica and Ivani, Jessica K. and Jagodzi{\'n}ska, Sandra and Jannat, Siratun and Jel{\'{\i}}nek, Tom{\'a}{\v s} and Jha, Apoorva and Jiamsundutsadee, Ratanon and Jiang, Katharine and Job, Sylvanus and Jobanputra, Mayank and Johannsen, Anders and J{\'o}nsd{\'o}ttir, Hildur and J{\o}rgensen, Fredrik and Ju, Zhuoxuan and Juutinen, Markus and Ka{\c s}{\i}kara, H{\"u}ner and Kabaeva, Nadezhda and Kahane, Sylvain and Kanayama, Hiroshi and Kanerva, Jenna and Kara, Neslihan and Karah{\'o}ǧa, Ritv{\'a}n and K{\'a}rn{\'{\i}}k, Ji{\v r}{\'{\i}} and K{\aa}sen, Andre and Kayadelen, Tolga and Kengatharaiyer, Sarveswaran and Kettnerov{\'a}, V{\'a}clava and Kharatyan, Lilit and Kirchner, Jesse and Klementieva, Elena and Klyachko, Elena and Kocharov, Petr and K{\"o}hn, Arne and K{\"o}ksal, Abdullatif and Kol{\'a}{\v r}ov{\'a}, Veronika and Kopacewicz, Kamil and Korkiakangas, Timo and K{\"o}se, Mehmet and Koshevoy, Alexey and Kote, Nelda and Kotsyba, Natalia and Kova{\v c}i{\'c}, Barbara and Kovalevskait{\.e}, Jolanta and Kowner, Emmanuelle and Krek, Simon and Krishnamurthy, Parameswari and K{\"u}bler, Sandra and Ku{\v c}ov{\'a}, Lucie and Kuqi, Adrian and Kuriyozov, Elmurod and Kuyruk{\c c}u, O{\u g}uzhan and Kuzgun, Asl{\i} and Kwak, Sookyoung and Kyle, Kris and Laan, K{\"a}bi and Laippala, Veronika and Lambertino, Lorenzo and Landau, Israel and Lando, Tatiana and Larasati, Septina Dian and Larriv{\'e}e, Pierre and Lata, Kusum and Lavrentiev, Alexei and Lee, John and L{\^e} H{\`{\^o}}ng, Phương and Lenci, Alessandro and Leong, Wei Qi and Lertpradit, Saran and Leung, Herman and Levin, Lori and Levina, Maria and Levine, Lauren and Li, Cheuk Ying and Li, Josie and Li, Keying and Li, Yixuan and Li, Yuan and Lim, {KyungTae} and Lima Padovani, Bruna and Lin, Yi-Ju Jessica and Lind{\'e}n, Krister and Liu, Yang Janet and Liu, Zoey and Ljube{\v s}i{\'c}, Nikola and Lobzhanidze, Irina and Loginova, Olga and Lopatkov{\'a}, Mark{\'e}ta and Lopes, Lucelene and Luftiu, Edita and Lukashevskyi, Arsenii and Lusito, Stefano and Lutgen, Anne-Marie and Luthfi, Andry and Luukko, Mikko and Lyashevskaya, Olga and Lynn, Teresa and Macketanz, Vivien and Mahamdi, Menel and Maillard, Jean and Maitreenukul, Punyanuch and Makarchuk, Ilya and Makazhanov, Aibek and Mambrini, Francesco and Mandl, Michael and Manning, Christopher and Manurung, Ruli and Mar{\c s}an, B{\"u}{\c s}ra and M{\u a}r{\u a}nduc, C{\u a}t{\u a}lina and Mare{\v c}ek, David and Marheinecke, Katrin and Markantonatou, Stella and Mart{\'{\i}}nez Alonso, H{\'e}ctor and Mart{\'{\i}}n Rodr{\'{\i}}guez, Lorena and Martins, Andr{\'e} and Martins, Cl{\'a}udia and Masciolini, Arianna and Ma{\v s}ek, Jan and Matlatipov, Sanatbek and Matsuda, Hiroshi and Matsumoto, Yuji and Mauri, Caterina and Mazzei, Alessandro and {McDonald}, Ryan and {McGuinness}, Sarah and Mehta, Maitrey and M{\'e}nard, Pierre Andr{\'e} and Mendon{\c c}a, Gustavo and Merhav, Hilla and Merzhevich, Tatiana and Meurer, Paul and Miekka, Niko and Mikulov{\'a}, Marie and Milano, Emilia and Mileti{\'c}, Aleksandra and Miller, Aaron and Min, Junghyun and Minerbi, Yael and M{\'{\i}}rovsk{\'y}, Ji{\v r}{\'{\i}} and Mischenkova, Karina and Missil{\"a}, Anna and Mititelu, C{\u a}t{\u a}lin and Mitrofan, Maria and Miyao, Yusuke and Mohapatra, Biswakalpita and Mojiri Foroushani, {AmirHossein} and Moln{\'a}r, Judit and Moloodi, Amirsaeid and Montemagni, Simonetta and More, Amir and Moreno Romero, Laura and Moretti, Giovanni and Mori, Shinsuke and Morioka, Tomohiko and Moro, Shigeki and Mortensen, Bjartur and Moskalevskyi, Bohdan and Mouzou, Katerina and Muischnek, Kadri and Munro, Robert and Murawaki, Yugo and Mus, Nikolett and M{\"u}{\"u}risep, Kaili and Nainwani, Pinkey and Nakhl{\'e}, Mariam and Nassajian, Minoo and Navarro Hor{\~n}iacek, Juan Ignacio and Nedoluzhko, Anna and Ne{\v s}pore-B{\=e}rzkalne, Gunta and Nevaci, Manuela and Nguy{\~{\^e}}n Th{\d i}, Lương and Nguy{\~{\^e}}n Th{\d i} Minh, Huy{\`{\^e}}n and Nikaido, Yoshihiro and Nikolaev, Vitaly and Nitisaroj, Rattima and Norrman, Victor and Nourian, Alireza and Nov{\'a}k, Michal and Nunes, Maria das Gra{\c c}as Volpe and Nurmi, Hanna and Ojala, Stina and Ojha, Atul Kr. and {\'O}lad{\'o}ttir, Hulda and Ol{\'u}{\`o}kun, Ad{\'e}day{\d o}̀ and Omura, Mai and Onwuegbuzia, Emeka and Ordan, Noam and Osenova, Petya and {\"O}stling, Robert and Ott, Annika and {\O}vrelid, Lilja and Oya, Masanori and {\"O}zate{\c s}, {\c S}aziye Bet{\"u}l and {\"O}z{\c c}elik, Merve and {\"O}zg{\"u}r, Arzucan and {\"O}zt{\"u}rk Ba{\c s}aran, Balk{\i}z and Paccosi, Teresa and Pajas, Petr and Palakapilly, Thomas and Palmero Aprosio, Alessio and Panevov{\'a}, Jarmila and Pannitto, Ludovica and Panova, Anastasia and Pardo, Thiago Alexandre Salgueiro and Parida, Shantipriya and Park, Hyunji Hayley and Partanen, Niko and Pascual, Elena and Passarotti, Marco and Patejuk, Agnieszka and Paulino-Passos, Guilherme and Pedonese, Giulia and Peeters, Oggi and Peljak-{\L}api{\'n}ska, Angelika and Peng, Siyao and Peng, Siyao Logan and Pereira, Rita and Pereira, S{\'{\i}}lvia and Perez, Cenel-Augusto and Perkova, Natalia and Perrier, Guy and Petrov, Slav and Petrova, Daria and Pettersson, Eva and Peverelli, Andrea and Phelan, Jason and Pierre-Louis, Claudel and Piitulainen, Jussi and Pinter, Yuval and Pinto, Clara and Pintucci, Rodrigo and Pirinen, Tommi A and Pitler, Emily and Plamada, Magdalena and Plank, Barbara and Plum, Alistair and Poibeau, Thierry and Polpanumas, Charin and Ponomareva, Larisa and Popel, Martin and Poujade, Clamen{\c c}a and Prangwedana, Rangga Prangwedana and Pretkalni{\c n}a, Lauma and Pretorius, Rigardt and Pr{\'e}vost, Sophie and Prokopidis, Prokopis and Przepi{\'o}rkowski, Adam and Pugh, Robert and Puolakainen, Tiina and Purschke, Christoph and Pyysalo, Sampo and Qi, Peng and Querido, Andreia and R{\"a}{\"a}bis, Andriela and Rabinovich, Ella and Rademaker, Alexandre and Rahman, Mutee-u and Rahoman, Mizanur and Rama, Taraka and Ramasamy, Loganathan and Ramisch, Carlos and Ramos, Joana and Rashel, Fam and Rasooli, Mohammad Sadegh and Ravishankar, Vinit and Real, Livy and Rebeja, Petru and Reddy, Siva and Regnault, Mathilde and Rehm, Georg and Riabi, Arij and Riabov, Ivan and Rie{\ss}ler, Michael and Rimkut{\.e}, Erika and Rinaldi, Larissa and Rituma, Laura and Rizqiyah, Putri and Rocha, Luisa and R{\"o}gnvaldsson, Eir{\'{\i}}kur and Roksandic, Ivan and Roman, Norton Trevisan and Romanenko, Mykhailo and Romanova, Natalia and Rosa, Rudolf and Roșca, Valentin and Roulon, Paulette and Rovati, Davide and Rozonoyer, Ben and Rudina, Olga and Rueter, Jack and Ruffolo, Paolo and R{\'u}narsson, Kristj{\'a}n and Rushiti, Rozana and Rutherford, Attapol T. and Sadde, Shoval and Safari, Pegah and Sahala, Aleksi and Sahoo, Kalyanamalini and Sahoo, Saraswati and Saleh, Shadi and Salomoni, Alessio and Samard{\v z}i{\'c}, Tanja and Sampanis, Konstantinos and Samson, Stephanie and S{\'a}nchez-Rodr{\'{\i}}guez, Xulia and Sanguinetti, Manuela and San{\i}yar, Ezgi and S{\"a}rg, Dage and Sartor, Marta and Sarymsakova, Albina and Sasaki, Mitsuya and Saul{\={\i}}te, Baiba and Savary, Agata and Sawanakunanon, Yanin and Saxena, Shefali and Scannell, Kevin and Scarlata, Salvatore and Schang, Emmanuel and Schikowski, Robert and Schneider, Nathan and Schuster, Sebastian and Schwartz, Lane and Seddah, Djam{\'e} and Seeker, Wolfgang and Sellmer, Sven and Seraji, Mojgan and {\v S}ev{\v c}{\'{\i}}kov{\'a}, Magda and Sgall, Petr and Shahzadi, Syeda and Shen, Mo and Shimada, Atsuko and Shin, Gyu-Ho and Shirasu, Hiroyuki and Shishkina, Yana and Shohibussirri, Muh and Shvedova, Maria and Sibille, Jean and Siewert, Janine and Sigurðsson, Einar Freyr and Silva, Jo{\~a}o and Silveira, Aline and Silveira, Natalia and Silveira, Sara and Simi, Maria and Simionescu, Radu and Simk{\'o}, Katalin and {\v S}imkov{\'a}, M{\'a}ria and S{\'{\i}}monarson, Haukur Barri and Simov, Kiril and Sitchinava, Dmitri and Sither, Ted and Smith, Aaron and Soares-Bastos, Isabela and Solberg, Per Erik and Sollberger, Dolores and Sonnenhauser, Barbara and Sourov, Shafi and Speransky, Nina and Sprugnoli, Rachele and Sriwirote, Panyut and Stamou, Vivian and Steingr{\'{\i}}msson, Stein{\t h}{\'o}r and Stella, Antonio and {\v S}t{\v e}p{\'a}nek, Jan and {\v S}t{\v e}p{\'a}nkov{\'a}, Barbora and Stephen, Abishek and Straka, Milan and Strass, Omer and Strickland, Emmett and Strnadov{\'a}, Jana and Stymne, Sara and Suhr, Alane and Sulestio, Yogi Lesmana and Sulubacak, Umut and Sun, Jack and Sung, Hakyung and Suzuki, Shingo and Swanson, Daniel and Sz{\'a}nt{\'o}, Zsolt and Szawerna, Maria Irena and Taguchi, Chihiro and Taji, Dima and Talamo, Luigi and Tamburini, Fabio and Tan, Mary Ann C. and Tanaka, Takaaki and Tanaya, Dipta and Tavoni, Mirko and Teker, Nursena and Tella, Samson and Tellier, Isabelle and Testori, Marinella and Thanyawong, Santhawat and Thomas, Guillaume and T{\i}ra{\c s}, Tar{\i}k Emre and Tjhi, William Chandra and Tollersrud, Thea and Tomaszek, Kamil and Tonelli, Sara and Torga, Liisi and Toribio, Lucas and Toska, Marsida and Trosterud, Trond and Trukhina, Anna and Tsarfaty, Reut and Tulchynska, Kira and T{\"u}rk, Utku and Tyers, Francis and {\t H}{\'o}rðarson, Sveinbj{\"o}rn and {\t H}orsteinsson, Vilhj{\'a}lmur and Uematsu, Sumire and Untilov, Roman and Ure{\v s}ov{\'a}, Zde{\v n}ka and Uria, Larraitz and Uszkoreit, Hans and Utka, Andrius and Vagnoni, Elena and Vajjala, Sowmya and Vak, Socrates and Vakirtzian, Socrates and van der Goot, Rob and Vanhove, Martine and van Niekerk, Daniel and van Noord, Gertjan and Varga, Viktor and Vaz, Helena and Vedenina, Uliana and Venturi, Giulia and Vergez-Couret, Marianne and Verkerk, Annemarie and Vidov{\'a} Hladk{\'a}, Barbora and Villemonte de la Clergerie, Eric and Vincze, Veronika and Vissamsetty, Anishka and Vlasova, Natalia and Vligouridou, Eleni and Wakasa, Aya and Wallenberg, Joel C. and Wallin, Lars and Walsh, Abigail and Wang, John and Washington, Jonathan North and Weissweiler, Leonie and Wendt, Maximilan and Widmer, Paul and Wieczorek, Aleksandra and Wigderson, Shira and Wijono, Sri Hartati and Wille, Vanessa Berwanger and Williams, Seyi and Winkler, Miriam and Wintner, Shuly and Wir{\'e}n, Mats and Wittern, Christian and Witzlack-Makarevich, Alena and Woldemariam, Tsegay and Wong, Tak-sum and Wr{\'o}blewska, Alina and Wu, Qishen and Yako, Mary and Yamashita, Kayo and Yamazaki, Naoki and Yan, Chunxiao and Yang, Qizhen and Yang, Xiulin and Yasuoka, Koichi and Yavrumyan, Marat M. and Yenice, Arife Bet{\"u}l and Y{\i}landilo{\u g}lu, Enes and Y{\i}ld{\i}z, Olcay Taner and Yu, Zhuoran and Yuliawati, Arlisa and {\v Z}abokrtsk{\'y}, Zden{\v e}k and Zahra, Shorouq and Zeldes, Amir and Zhang, Annie and Zhang, Larry and Zhou, He and Zhu, Hanzhi and Zhu, Yilun and Zhuravleva, Anna and Ziane, Rayan and Znoti{\c n}{\v s}, Art{\=u}rs and Zucchini, Eleonora},
   url = {http://hdl.handle.net/11234/1-6036},
   note = {{LINDAT}/{CLARIAH}-{CZ} digital library at the Institute of Formal and Applied Linguistics ({{\'U}FAL})},
   copyright = {Licence Universal Dependencies v2.17},
   year = {2025}
}
"""  # noqa: W605

_DESCRIPTION = """\
Universal Dependencies is a project that seeks to develop cross-linguistically consistent treebank annotation for many languages, with the goal of facilitating multilingual parser development, cross-lingual learning, and parsing research from a language typology perspective. The annotation scheme is based on (universal) Stanford dependencies (de Marneffe et al., 2006, 2008, 2014), Google universal part-of-speech tags (Petrov et al., 2012), and the Interset interlingua for morphosyntactic tagsets (Zeman, 2008).
"""

_NAMES = [
    "abq_atb",
    "af_afribooms",
    "akk_pisandub",
    "aqz_tudet",
    "sq_tsa",
    "gsw_uzh",
    "am_att",
    "grc_perseus",
    "grc_proiel",
    "grc_ptnk",
    "hbo_ptnk",
    "apu_ufpa",
    "ar_nyuad",
    "ar_padt",
    "ar_pud",
    "hy_armtdp",
    "hy_bsut",
    "aii_as",
    "bm_crb",
    "eu_bdt",
    "bej_autogramm",
    "be_hse",
    "bn_bru",
    "bho_bhtb",
    "br_keb",
    "bg_btb",
    "bxr_bdt",
    "yue_hk",
    "cpg_amgic",
    "ca_ancora",
    "ceb_gja",
    "ckb_mukri",
    "zh_cfl",
    "zh_gsd",
    "zh_gsdsimp",
    "zh_hk",
    "zh_pud",
    "ckt_hse",
    "lzh_kyoto",
    "cop_scriptorium",
    "hr_set",
    "cs_cac",
    "cs_cltt",
    "cs_fictree",
    "cs_pdtc",
    "cs_pud",
    "da_ddt",
    "nl_alpino",
    "nl_lassysmall",
    "en_atis",
    "en_ctetex",
    "en_ewt",
    "en_gum",
    "en_gumreddit",
    "en_lines",
    "en_partut",
    "en_pronouns",
    "en_pud",
    "myv_jr",
    "et_edt",
    "et_ewt",
    "fo_farpahc",
    "fo_oft",
    "fi_ftb",
    "fi_ood",
    "fi_pud",
    "fi_tdt",
    "fr_fqb",
    "fr_gsd",
    "fr_parisstories",
    "fr_partut",
    "fr_pud",
    "fr_rhapsodie",
    "fr_sequoia",
    "qfn_fame",
    "gl_ctg",
    "gl_treegal",
    "ka_glc",
    "de_gsd",
    "de_hdt",
    "de_lit",
    "de_pud",
    "got_proiel",
    "el_gdt",
    "gub_tudet",
    "gn_oldtudet",
    "he_htb",
    "he_iahltwiki",
    "hi_hdtb",
    "hi_pud",
    "hit_hittb",
    "hu_szeged",
    "is_icepahc",
    "is_modern",
    "is_pud",
    "id_csui",
    "id_gsd",
    "id_pud",
    "ga_idt",
    "ga_twittirish",
    "it_isdt",
    "it_markit",
    "it_partut",
    "it_postwita",
    "it_pud",
    "it_twittiro",
    "it_valico",
    "it_vit",
    "ja_bccwj",
    "ja_bccwjluw",
    "ja_gsd",
    "ja_gsdluw",
    "ja_pud",
    "ja_pudluw",
    "jv_csui",
    "urb_tudet",
    "xnr_kdtb",
    "krl_kkpp",
    "arr_tudet",
    "kk_ktb",
    "naq_kdt",
    "kfm_aha",
    "quc_iu",
    "koi_uh",
    "kpv_ikdp",
    "kpv_lattice",
    "ko_gsd",
    "ko_kaist",
    "ko_pud",
    "ky_ktmu",
    "la_ittb",
    "la_llct",
    "la_perseus",
    "la_proiel",
    "la_udante",
    "lv_lvtb",
    "lij_glt",
    "lt_alksnis",
    "lt_hse",
    "olo_kkpp",
    "nds_lsdc",
    "mk_mtb",
    "jaa_jarawara",
    "qaf_arabizi",
    "mpu_tudet",
    "mt_mudt",
    "gv_cadhan",
    "mr_ufal",
    "gun_dooley",
    "gun_thomas",
    "mdf_jr",
    "myu_tudet",
    "nyq_aha",
    "nap_rb",
    "sme_giella",
    "kmr_kurmanji",
    "no_bokmaal",
    "no_nynorsk",
    "oc_ttb",
    "or_odtb",
    "cu_proiel",
    "orv_rnc",
    "orv_ruthenian",
    "orv_torot",
    "fro_profiterole",
    "sga_dipsgg",
    "sga_dipwbg",
    "otk_clausal",
    "fa_seraji",
    "pl_lfg",
    "pl_pdb",
    "pl_pud",
    "qpm_philotis",
    "pt_bosque",
    "pt_gsd",
    "pt_pud",
    "ro_art",
    "ro_nonstandard",
    "ro_rrt",
    "ro_simonero",
    "ru_gsd",
    "ru_pud",
    "ru_syntagrus",
    "ru_taiga",
    "sa_ufal",
    "sa_vedic",
    "gd_arcosg",
    "sr_set",
    "si_stb",
    "sms_giellagas",
    "sk_snk",
    "sl_ssj",
    "sl_sst",
    "soj_aha",
    "ajp_madar",
    "es_ancora",
    "es_gsd",
    "es_pud",
    "sv_lines",
    "sv_pud",
    "sv_talbanken",
    "swl_sslc",
    "tl_trg",
    "tl_ugnayan",
    "ta_mwtt",
    "ta_ttb",
    "tt_nmctt",
    "eme_tudet",
    "te_mtg",
    "th_pud",
    "tpn_tudet",
    "tr_atis",
    "tr_boun",
    "tr_framenet",
    "tr_gb",
    "tr_imst",
    "tr_kenet",
    "tr_penn",
    "tr_pud",
    "tr_tourism",
    "qtd_sagt",
    "uk_iu",
    "hsb_ufal",
    "ur_udtb",
    "ug_udt",
    "vi_vtb",
    "wbp_ufal",
    "cy_ccg",
    "hyw_armtdp",
    "nhi_itml",
    "wo_wtb",
    "sjo_xdt",
    "sah_yktdt",
    "yo_ytb",
    "ess_sli",
]

_DESCRIPTIONS = {
    "abq_atb": """UD_Abaza-ATB is a treebank based on [Spoken corpus of Abaza](http://lingconlab.ru/spoken_abaza/).""",
    "af_afribooms": """UD Afrikaans-AfriBooms is a conversion of the AfriBooms Dependency Treebank, originally annotated with a simplified PoS set and dependency relations according to a subset of the Stanford tag set. The corpus consists of public government documents.""",
    "akk_pisandub": """A small set of sentences from Babylonian royal inscriptions.""",
    "aqz_tudet": """UD_Akuntsu-TuDeT is a collection of annotated sentences in <a href="https://glottolog.org/resource/languoid/id/akun1241"> Akuntsú</a>. The sentences stem from the grammatical description by Aragon (2014) and Aragon's field work. Sentence annotation and documentation by Carolina Aragon, Fabrício Ferraz Gerardi, Luana dos Santos.""",
    "sq_tsa": """The UD Albanian Treebank is a small treebank for Standard Albanian, developed within a project framework at Uppsala University. The data was extracted from Wikipedia.""",
    "gsw_uzh": """_UD\_Alemannic-UZH_ is a tiny manually annotated treebank of 100 sentences in different Swiss German dialects and a variety of text genres.""",
    "am_att": """UD_Amharic-ATT is a manual developed Treebanks for Amharic. Sentences were collected from grammar books, fictions, biographies, religious texts and news.""",
    "grc_perseus": """This Universal Dependencies Ancient Greek Treebank consists of an automatic conversion of a selection of passages from the Ancient Greek and Latin Dependency Treebank 2.1""",
    "grc_proiel": """UD_Ancient_Greek-PROIEL is converted from the Ancient Greek data in the PROIEL treebank, and consists of the New Testament plus selections from Herodotus.""",
    "grc_ptnk": """UD Ancient Greek PTNK contains portions of the Septuagint according to the Codex Alexandrinus.""",
    "hbo_ptnk": """UD Ancient Hebrew PTNK contains portions of the Biblia Hebraic Stuttgartensia with morphological annotations from [ETCBC](https://github.com/etcbc/bhsa) and syntactic annotations partially based on [MACULA](https://github.com/Clear-Bible/macula-hebrew/).""",
    "apu_ufpa": """This is an Apurinã treebank consisting of sentences from a grammatical description of the language by Maília Fernanda.""",
    "ar_nyuad": """The NYUAD Arabic UD treebank is based on the Penn Arabic Treebank (PATB), parts 1, 2, and 3, through conversion to CATiB dependency trees.""",
    "ar_padt": """The Arabic-PADT UD treebank is based on the [Prague Arabic Dependency Treebank](http://ufal.mff.cuni.cz/padt/) (PADT), created at the Charles University in Prague.""",
    "ar_pud": """This is a part of the Parallel Universal Dependencies (PUD) treebanks created for the [CoNLL 2017 shared task on Multilingual Parsing from Raw Text to Universal Dependencies](http://universaldependencies.org/conll17/).""",
    "hy_armtdp": """A Universal Dependencies treebank for Eastern Armenian developed for UD originally by the ArmTDP team led by Marat M. Yavrumyan at the Yerevan State University.""",
    "hy_bsut": """A Universal Dependencies treebank for Eastern Armenian developed for UD originally by the ArmTDP team led by Marat M. Yavrumyan at the V. Brusov State University in Yerevan.""",
    "aii_as": """The Uppsala Assyrian Treebank is a small treebank for Modern Standard Assyrian. The corpus is collected and annotated manually. The data was randomly collected from different textbooks and a short translation of The Merchant of Venice.""",
    "bm_crb": """The UD Bambara treebank is a section of the Corpus Référence du Bambara annotated natively with Universal Dependencies.""",
    "eu_bdt": """The Basque UD treebank is based on a automatic conversion from part of the Basque Dependency Treebank (BDT), created at the University of of the Basque Country by the IXA NLP research group. The treebank consists of 8.993 sentences (121.443 tokens) and covers mainly literary and journalistic texts.""",
    "bej_autogramm": """A Universal Dependencies corpus for Beja, North-Cushitic branch of the Afro-Asiatic phylum mainly spoken in Sudan, Egypt and Eritrea.""",
    "be_hse": """The Belarusian UD treebank is based on a sample of the news texts included in the Belarusian-Russian parallel subcorpus of the Russian National Corpus, online search available at: http://ruscorpora.ru/search-para-be.html.""",
    "bn_bru": """The BRU Bengali treebank has been created at Begum Rokeya University, Rangpur, by the members of Semantics Lab.""",
    "bho_bhtb": """The [Bhojpuri](https://en.wikipedia.org/wiki/Bhojpuri_language) UD Treebank (BHTB) is a part of the [Universal Dependency treebank](http://universaldependencies.org/) project.""",
    "br_keb": """UD Breton-KEB is a treebank of Breton that has been manually annotated according to the Universal Dependencies guidelines. The tokenisation guidelines and morphological annotation comes from a finite-state morphological analyser of Breton released as part of the [Apertium project](http://www.apertium.org).""",
    "bg_btb": """UD_Bulgarian-BTB is based on the HPSG-based BulTreeBank, created at the Institute of Information and Communication Technologies, Bulgarian Academy of Sciences. The original consists of 215,000 tokens (over 15,000 sentences).  All the texts were processed automatically at tokenization, morphological and chunk level. Then, the full syntactic analysis were perfomed manually by trained annotators.""",
    "bxr_bdt": """The UD Buryat treebank was annotated manually natively in UD and contains grammar book sentences, along with news and some fiction.""",
    "yue_hk": """A Cantonese treebank (in Traditional Chinese characters) of film subtitles and of legislative proceedings of Hong Kong, parallel with the Chinese-HK treebank.""",
    "cpg_amgic": """The "Asia Minor Greek in Contact" treebank (AMGiC, UD_AMGiC) is compiled from sentences entailing contact-induced morphosyntactic phenomena (CIMSP) that are a result of the contact between Greek and Turkish varieties in Anatolia and in adjacent regions. The sentences are traced in Asia Minor Greek (AMG) dialectal sources. In addition to the UD analysis, the AMGiC treebank provides information concerning the sociolinguistic context within which CIMSP arise.""",
    "ca_ancora": """Catalan data from the [AnCora](http://clic.ub.edu/corpus/) corpus.""",
    "ceb_gja": """UD_Cebuano_GJA is a collection of annotated Cebuano sample sentences randomly taken from three different sources: community-contributed samples from the website Tatoeba, a Cebuano grammar book by Bunye & Yap (1971) and Tanangkinsing's reference grammar on Cebuano (2011). This project is currently work in progress.""",
    "ckb_mukri": """This treebank contains manually annotated data for Mukri Kurdish (Indo-European) belonging to Kurdish language family, following the Universal Dependencies (UD) guidelines. It aims to offer a syntactically and morphologically consistent dataset that helps with Kurdish language processing and cross-linguistic studies. The current release includes texts in Kurdish Roman Alphabet script and provides dependency annotation at the word, phrase, and sentence levels.""",
    "zh_cfl": """The Chinese-CFL UD treebank is manually annotated by Keying Li with minor manual revisions by Herman Leung and John Lee at City University of Hong Kong, based on essays written by learners of Mandarin Chinese as a foreign language. The data is in Simplified Chinese.""",
    "zh_gsd": """Traditional Chinese Universal Dependencies Treebank annotated and converted by Google.""",
    "zh_gsdsimp": """Simplified Chinese Universal Dependencies dataset converted from the GSD (traditional) dataset with manual corrections.""",
    "zh_hk": """A Traditional Chinese treebank of film subtitles and of legislative proceedings of Hong Kong, parallel with the Cantonese-HK treebank.""",
    "zh_pud": """This is a part of the Parallel Universal Dependencies (PUD) treebanks created for the [CoNLL 2017 shared task on Multilingual Parsing from Raw Text to Universal Dependencies](http://universaldependencies.org/conll17/).""",
    "ckt_hse": """This data is a manual annotation of the corpus from multimedia annotated corpus of the [Chuklang](http://chuklang.ru/) project, a dialectal corpus of the Amguema variant of Chukchi.""",
    "lzh_kyoto": """Classical Chinese Universal Dependencies Treebank annotated and converted by Institute for Research in Humanities, Kyoto University.""",
    "cop_scriptorium": """UD Coptic contains manually annotated Sahidic Coptic texts, including Biblical texts, sermons, letters, and hagiography.""",
    "hr_set": """The Croatian UD treebank is based on the extension of the SETimes-HR corpus, the [hr500k](http://hdl.handle.net/11356/1183) corpus.""",
    "cs_cac": """The UD_Czech-CAC treebank is based on the Czech Academic Corpus 2.0 (CAC; Český akademický korpus; ČAK), created at Charles University in Prague.""",
    "cs_cltt": """The UD_Czech-CLTT treebank is based on the Czech Legal Text Treebank 2.0, created at the Charles University in Prague.""",
    "cs_fictree": """FicTree is a treebank of Czech fiction, automatically converted into the UD format. The treebank was built at Charles University in Prague.""",
    "cs_pdtc": """The Czech-PDTC UD treebank is based on the Prague Dependency Treebank – Consolidated (PDT-C) 2.0, created at the Charles University in Prague.""",
    "cs_pud": """This is a part of the Parallel Universal Dependencies (PUD) treebanks created for the [CoNLL 2017 shared task on Multilingual Parsing from Raw Text to Universal Dependencies](http://universaldependencies.org/conll17/).""",
    "da_ddt": """The Danish UD treebank is a conversion of the Danish Dependency Treebank.""",
    "nl_alpino": """This corpus consists of samples from various treebanks annotated at the University of Groningen using the Alpino annotation tools and guidelines.""",
    "nl_lassysmall": """This corpus contains sentences from the Wikipedia section of the Lassy Small Treebank. Universal Dependency annotation was generated automatically from the original annotation in Lassy.""",
    "en_atis": """UD Atis Treebank is a manually annotated treebank consisting of the sentences in the Atis (Airline Travel Informations) dataset which includes the human speech transcriptions of people asking for flight information on the automated inquiry systems.""",
    "en_ctetex": """UD_English-CTeTex is a technical text corpus annotated in Universal Dependency syntax containing 196 software requirements.""",
    "en_ewt": """A Gold Standard Universal Dependencies Corpus for English, built over the source material of the English Web Treebank LDC2012T13 (https://catalog.ldc.upenn.edu/LDC2012T13).""",
    "en_gum": """Universal Dependencies syntax annotations from the GUM corpus (https://gucorpling.org/gum/)""",
    "en_gumreddit": """Universal Dependencies syntax annotations from the Reddit portion of the GUM corpus (https://gucorpling.org/gum/)""",
    "en_lines": """UD English_LinES is the English half of the LinES Parallel Treebank with the original dependency annotation first automatically converted into Universal Dependencies and then partially reviewed. Its contents cover literature, an online manual and Europarl data.""",
    "en_partut": """UD_English-ParTUT is a conversion of a multilingual parallel treebank developed at the University of Turin, and consisting of a variety of text genres, including talks, legal texts and Wikipedia articles, among others.""",
    "en_pronouns": """UD English-Pronouns is dataset created to make pronoun identification more accurate and with a more balanced distribution across genders. The dataset is initially targeting the Independent Genitive pronouns, "hers", (independent) "his", (singular) "theirs", "mine", and (singular) "yours".""",
    "en_pud": """This is the English portion of the Parallel Universal Dependencies (PUD) treebanks created for the CoNLL 2017 shared task on Multilingual Parsing from Raw Text to Universal Dependencies (http://universaldependencies.org/conll17/).""",
    "myv_jr": """UD Erzya is the original annotation (CoNLL-U) for texts in the Erzya language, it originally consists of a sample from a number of fiction authors writing originals in Erzya.""",
    "et_edt": """UD Estonian is a converted version of the Estonian Dependency Treebank (EDT), originally annotated in the Constraint Grammar (CG) annotation scheme, and consisting of genres of fiction, newspaper texts and scientific texts. The treebank contains 30,972 trees, 437,769 tokens.""",
    "et_ewt": """UD EWT treebank consists of different genres of new media. The treebank contains 7,190 trees, 90,585 tokens.""",
    "fo_farpahc": """UD_Faroese-FarPaHC is a conversion of the [Faroese Parsed Historical Corpus (FarPaHC)](https://github.com/einarfs/farpahc) to the Universal Dependencies scheme.  The conversion was done using [UDConverter](https://github.com/thorunna/UDConverter).""",
    "fo_oft": """This is a treebank of Faroese based on the Faroese Wikipedia.""",
    "fi_ftb": """FinnTreeBank 1 consists of manually annotated grammatical examples from VISK. The UD version of FinnTreeBank 1 was converted from a native annotation model with a script and later manually revised.""",
    "fi_ood": """Finnish-OOD is an external out-of-domain test set for Finnish-TDT annotated natively into UD scheme.""",
    "fi_pud": """This is a part of the Parallel Universal Dependencies (PUD) treebanks created for the [CoNLL 2017 shared task on Multilingual Parsing from Raw Text to Universal Dependencies](http://universaldependencies.org/conll17/).""",
    "fi_tdt": """UD_Finnish-TDT is based on the Turku Dependency Treebank (TDT), a broad-coverage dependency treebank of general Finnish covering numerous genres. The conversion to UD was followed by extensive manual checks and corrections, and the treebank closely adheres to the UD guidelines.""",
    "fr_fqb": """The corpus **UD_French-FQB** is an automatic conversion of the [French QuestionBank v1](http://alpage.inria.fr/Treebanks/FQB/), a corpus entirely made of questions.""",
    "fr_gsd": """The **UD_French-GSD** was converted in 2015 from the content head version of the universal dependency treebank v2.0 (https://github.com/ryanmcd/uni-dep-tb). It is updated since 2015 independently from the previous source.""",
    "fr_parisstories": """Paris Stories is a corpus of oral French collected and transcribed by Linguistics students from Sorbonne Nouvelle and corrected by students from the Plurital Master's Degree of Computational Linguistics ( Inalco, Paris Nanterre, Sorbonne Nouvelle) between 2017 and 2021. It contains monologues and dialogues from speakers living in the Parisian region.""",
    "fr_partut": """UD_French-ParTUT is a conversion of a multilingual parallel treebank developed at the University of Turin, and consisting of a variety of text genres, including talks, legal texts and Wikipedia articles, among others.""",
    "fr_pud": """This is a part of the Parallel Universal Dependencies (PUD) treebanks created for the [CoNLL 2017 shared task on Multilingual Parsing from Raw Text to Universal Dependencies](http://universaldependencies.org/conll17/).""",
    "fr_rhapsodie": """A Universal Dependencies corpus for spoken French.""",
    "fr_sequoia": """**UD_French-Sequoia** is an automatic conversion of the [SUD_French-Sequoia](https://github.com/surfacesyntacticud/SUD_French-Sequoia) treebank, which comes from the former corpus [French Sequoia corpus](http://deep-sequoia.inria.fr).""",
    "qfn_fame": """UD_Frisian_Dutch-Fame is a selection of 400 sentences from the FAME! speech corpus by Yilmaz et al. (2016a, 2016b). The treebank is manually annotated using the UD scheme.""",
    "gl_ctg": """The Galician UD treebank is based on the automatic parsing of the Galician Technical Corpus (http://sli.uvigo.gal/CTG) created at the University of Vigo by the the TALG NLP research group.""",
    "gl_treegal": """The Galician-TreeGal is a treebank for Galician developed at LyS Group (Universidade da Coruña) and at CiTIUS (Universidade de Santiago de Compostela).""",
    "ka_glc": """The Georgian UD Treebank (UD_Georgian-GLC) is the first syntactically annotated corpus of Georgian, based on a collection of annotated sentences selected from the Georgian Language Corpus (GLC) available at http://corpora.iliauni.edu.ge/ and sentences selected from Wiki in accordance with the 132 scientific fields.""",
    "de_gsd": """The German UD is converted from the content head version of the [universal dependency treebank v2.0 (legacy)](https://github.com/ryanmcd/uni-dep-tb).""",
    "de_hdt": """UD German-HDT is a conversion of the Hamburg Dependency Treebank, created at the University of Hamburg through manual annotation in conjunction with a standard for morphologically and syntactically annotating sentences as well as a constraint-based parser.""",
    "de_lit": """This treebank aims at gathering texts of the German literary history. Currently, it hosts Fragments of the early Romanticism, i.e. aphorism-like texts mainly dealing with philosophical issues concerning art, beauty and related topics.""",
    "de_pud": """This is a part of the Parallel Universal Dependencies (PUD) treebanks created for the [CoNLL 2017 shared task on Multilingual Parsing from Raw Text to Universal Dependencies](http://universaldependencies.org/conll17/).""",
    "got_proiel": """The UD Gothic treebank is based on the Gothic data from the PROIEL treebank, and consists of Wulfila's Bible translation.""",
    "el_gdt": """The Greek UD treebank (UD_Greek-GDT) is derived from the Greek Dependency Treebank (http://gdt.ilsp.gr), a resource developed and maintained by researchers at the Institute for Language and Speech Processing/Athena R.C. (http://www.ilsp.gr).""",
    "gub_tudet": """UD_Guajajara-TuDeT is a collection of annotated sentences in <a href="https://glottolog.org/resource/languoid/id/guaj1255">Guajajara</a>. Sentences stem from multiple sources such as descriptions of the language, short stories, dictionaries and translations from the New Testament. Sentence annotation and documentation by Lorena Martín Rodríguez and Fabrício Ferraz Gerardi.""",
    "gn_oldtudet": """UD_Guarani-OldTuDeT is a collection of annotated texts in <a href="https://glottolog.org/resource/languoid/id/oldp1258">Old Guaraní</a>. All known sources in this language are being annotated: cathesisms, grammars (seventeenth and eighteenth century), sentences from dictionaries, and other texts. Sentence annotation and documentation by Fabrício Ferraz Gerardi and Lorena Martín Rodríguez.""",
    "he_htb": """A Universal Dependencies Corpus for Hebrew.""",
    "he_iahltwiki": """Publicly available subset of the IAHLT UD Hebrew Treebank's Wikipedia section (https://www.iahlt.org/)""",
    "hi_hdtb": """The Hindi UD treebank is based on the Hindi Dependency Treebank (HDTB), created at IIIT Hyderabad, India.""",
    "hi_pud": """This is a part of the Parallel Universal Dependencies (PUD) treebanks created for the [CoNLL 2017 shared task on Multilingual Parsing from Raw Text to Universal Dependencies](http://universaldependencies.org/conll17/).""",
    "hit_hittb": """UD_Hittite-HitTB is a small Universal Dependencies treebank for Hittite, containing original sentences from Hoffner and Melchert's tutorial to A Grammar of the Hittite Language.""",
    "hu_szeged": """The Hungarian UD treebank is derived from the Szeged Dependency Treebank (Vincze et al. 2010).""",
    "is_icepahc": """UD_Icelandic-IcePaHC is a conversion of the [Icelandic Parsed Historical Corpus (IcePaHC)](https://linguist.is/icelandic_treebank/Icelandic_Parsed_Historical_Corpus_(IcePaHC)) to the Universal Dependencies scheme.  The conversion was done using [UDConverter](https://github.com/thorunna/UDConverter).""",
    "is_modern": """UD_Icelandic-Modern is a conversion of the [modern additions](https://github.com/antonkarl/icecorpus/tree/master/additions2019) to the Icelandic Parsed Historical Corpus (IcePaHC) to the Universal Dependencies scheme.""",
    "is_pud": """Icelandic-PUD is the Icelandic part of the Parallel Universal Dependencies (PUD) treebanks.""",
    "id_csui": """UD Indonesian-CSUI is a conversion from an Indonesian constituency treebank in the Penn Treebank format named [**Kethu**](https://github.com/ialfina/kethu) that was also a conversion from a constituency treebank built by [**Dinakaramani et al. (2015)**](https://github.com/famrashel/idn-treebank). We named this treebank **Indonesian-CSUI**, since all the three versions of the treebanks were built at Faculty of Computer Science, Universitas Indonesia.""",
    "id_gsd": """The Indonesian-GSD treebank was originally converted from the content head version of the [universal dependency treebank v2.0 (legacy)](https://github.com/ryanmcd/uni-dep-tb) in 2015. In order to comply with the latest Indonesian annotation guidelines, the treebank has undergone a major revision between UD releases v2.8 and v2.9 (2021).""",
    "id_pud": """This is a part of the Parallel Universal Dependencies (PUD) treebanks created for the [CoNLL 2017 shared task on Multilingual Parsing from Raw Text to Universal Dependencies](http://universaldependencies.org/conll17/).""",
    "ga_idt": """A Universal Dependencies 4910-sentence treebank for modern Irish.""",
    "ga_twittirish": """A Universal Dependencies treebank of 2596 tweets in modern Irish.""",
    "it_isdt": """The Italian corpus annotated according to the UD annotation scheme was obtained by conversion from ISDT (Italian Stanford Dependency Treebank), released for the dependency parsing shared task of Evalita-2014 (Bosco et al. 2014).""",
    "it_markit": """This page refers to the dataset presented in the paper:  It is MarkIT That is New: An Italian Treebank of Marked Constructions. Teresa Paccosi, Alessio Palmero Aprosio and Sara Tonelli, To appear in Proceedings of the Eighth Italian Conference on Computational Linguistics 2022 (CLIC-it 2021)""",
    "it_partut": """UD_Italian-ParTUT is a conversion of a multilingual parallel treebank developed at the University of Turin, and consisting of a variety of text genres, including talks, legal texts and Wikipedia articles, among others.""",
    "it_postwita": """PoSTWITA-UD is a collection of Italian tweets annotated in Universal Dependencies that can be exploited for the training of NLP systems to enhance their performance on social media texts.""",
    "it_pud": """This is a part of the Parallel Universal Dependencies (PUD) treebanks created for the [CoNLL 2017 shared task on Multilingual Parsing from Raw Text to Universal Dependencies](http://universaldependencies.org/conll17/).""",
    "it_twittiro": """TWITTIRÒ-UD is a collection of ironic Italian tweets annotated in Universal Dependencies. The treebank can be exploited for the training of NLP systems to enhance their performance on social media texts, and in particular, for irony detection purposes.""",
    "it_valico": """Manually corrected Treebank of Learner Italian drawn from the Valico corpus and correspondent corrected sentences.""",
    "it_vit": """The UD_Italian-VIT corpus was obtained by conversion from VIT (Venice Italian Treebank), developed at the Laboratory of Computational Linguistics of the Università Ca' Foscari in Venice (Delmonte et al. 2007; Delmonte 2009; http://rondelmo.it/resource/VIT/Browser-VIT/index.htm).""",
    "ja_bccwj": """This Universal Dependencies (UD) Japanese treebank is based on the definition of UD Japanese convention described in the UD documentation. The original sentences are from `Balanced Corpus of Contemporary Written Japanese'(BCCWJ).""",
    "ja_bccwjluw": """This Universal Dependencies (UD) Japanese treebank is based on the definition of UD Japanese convention described in the UD documentation. The original sentences are from `Balanced Corpus of Contemporary Written Japanese'(BCCWJ).  UD-Japanese-BCCWJLUW is the other word segmentation version of UD-Japanese-BCCWJ. We use **Long Unit Word (LUW)** as their syntactic word in UD definition.""",
    "ja_gsd": """This Universal Dependencies (UD) Japanese treebank is based on the definition of UD Japanese convention described in the UD documentation.  The original sentences are from Google UDT 2.0.""",
    "ja_gsdluw": """This Universal Dependencies (UD) Japanese treebank is based on the definition of UD Japanese convention described in the UD documentation.  The original sentences are from Google UDT 2.0.""",
    "ja_pud": """This is a part of the Parallel Universal Dependencies (PUD) treebanks created for the [CoNLL 2017 shared task on Multilingual Parsing from Raw Text to Universal Dependencies](http://universaldependencies.org/conll17/).""",
    "ja_pudluw": """This is a part of the Parallel Universal Dependencies (PUD) treebanks created for the [CoNLL 2017 shared task on Multilingual Parsing from Raw Text to Universal Dependencies](http://universaldependencies.org/conll17/).""",
    "jv_csui": """UD Javanese-CSUI is a dependency treebank in Javanese, a regional language in Indonesia with more than 68 million users. It was developed by Alfina et al. from the Faculty of Computer Science, Universitas Indonesia. The newest version has 1000 sentences and 14K words with manual annotation.""",
    "urb_tudet": """**UD_Kaapor-TuDeT** is a collection of annotated sentences in [Ka'apor](https://glottolog.org/resource/languoid/id/urub1250). The project is a work in progress and the treebank is being updated on a regular basis.""",
    "xnr_kdtb": """The Kangri UD Treebank (KDTB) is a part of the Universal Dependency treebank project.""",
    "krl_kkpp": """UD Karelian-KKPP is a manually annotated new corpus of Karelian made in Universal dependencies annotation scheme. The data is collected from [VepKar corpora](http://dictorpus.krc.karelia.ru/en/corpus/text) and consists of mostly modern news texts but also some stories and educational texts.""",
    "arr_tudet": """UD_Karo-TuDeT is a collection of annotated sentences in <a href="https://glottolog.org/resource/languoid/id/karo1306"> Karo</a>. The sentences stem from the only grammatical description of the language (Gabas, 1999) and from the sentences in the dictionary by the same author (Gabas, 2007).  Sentence annotation and documentation by Fabrício Ferraz Gerardi.""",
    "kk_ktb": """The UD Kazakh treebank is a combination of text from various sources including Wikipedia, some folk tales, sentences from the UDHR, news and phrasebook sentences. Sentences IDs include partial document identifiers.""",
    "naq_kdt": """UD\_Khoekhoe-KDT is a Universal Dependencies (UD) treebank for the Khoekhoe language. The annotation was performed manually based on glosses. This treebank includes texts from various sources: fiction, grammar, and spoken conversation. The treebank contains **27k tokens**, distributed as follows:  - **Training set**: 15k tokens - **Development set**: 2k tokens - **Test set**: 10k tokens""",
    "kfm_aha": """The AHA Khunsari Treebank is a small treebank for contemporary Khunsari. Its corpus is collected and annotated manually. We have prepared this treebank based on interviews with Khunsari speakers.""",
    "quc_iu": """UD Kʼicheʼ-IU is a treebank consisting of sentences from a variety of text domains but principally dictionary example sentences and linguistic examples.""",
    "koi_uh": """This is a Komi-Permyak literary language treebank consisting of original and translated texts.""",
    "kpv_ikdp": """This treebank consists of dialectal transcriptions of spoken Komi-Zyrian. The current texts are short recorded segments from different areas where the Iźva dialect of Komi language is spoken.""",
    "kpv_lattice": """UD Komi-Zyrian Lattice is a treebank of written standard Komi-Zyrian.""",
    "ko_gsd": """The Google Korean Universal Dependency Treebank is first converted from the [Universal Dependency Treebank v2.0 (legacy)](https://github.com/ryanmcd/uni-dep-tb), and then enhanced by Chun et al., 2018.""",
    "ko_kaist": """The KAIST Korean Universal Dependency Treebank is generated by Chun et al., 2018 from the constituency trees in the [KAIST Tree-Tagging Corpus](http://semanticweb.kaist.ac.kr/home/index.php/Corpus4).""",
    "ko_pud": """This is a part of the Parallel Universal Dependencies (PUD) treebanks created for the [CoNLL 2017 shared task on Multilingual Parsing from Raw Text to Universal Dependencies](http://universaldependencies.org/conll17/).""",
    "ky_ktmu": """UD_Kyrgyz-KTMU is dependency parsing based treebank in Kyrgyz language. The dataset mostly contains headlines from Kyrgyz news websites.""",
    "la_ittb": """Latin data from the _Index Thomisticus_ Treebank. Data are taken from the _Index Thomisticus_ corpus by Roberto Busa SJ, which contains the complete work by Thomas Aquinas (1225–1274; Medieval Latin) and by 61 other authors related to Thomas.""",
    "la_llct": """This Universal Dependencies version of the **LLCT** (Late Latin Charter Treebank) consists of an automated conversion of the **LLCT2** treebank from the Latin Dependency Treebank (LDT) format into the Universal Dependencies standard.""",
    "la_perseus": """This Universal Dependencies Latin Treebank consists of an automatic conversion of a selection of passages from the Ancient Greek and Latin Dependency Treebank 2.1""",
    "la_proiel": """The Latin PROIEL treebank is based on the Latin data from the PROIEL treebank, and contains most of the Vulgate New Testament translations plus selections from Caesar's Gallic War, Cicero's Letters to Atticus, Palladius' Opus Agriculturae and the first book of Cicero's De officiis.""",
    "la_udante": """The **UDante** treebank is based on the Latin texts of Dante Alighieri, taken from the [**DanteSearch corpus**](https://dantesearch.dantenetwork.it), originally created at the University of Pisa, Italy.  It is a treebank of Latin language, more precisely of **literary Medieval Latin** (XIVth century).""",
    "lv_lvtb": """Latvian UD Treebank is based on Latvian Treebank ([LVTB](http://sintakse.korpuss.lv)), being created at University of Latvia, Institute of Mathematics and Computer Science, [Artificial Intelligence Laboratory](http://ailab.lv).""",
    "lij_glt": """The Genoese Ligurian Treebank is a small, manually annotated collection of contemporary Ligurian prose. The focus of the treebank is written Genoese, the koiné variety of Ligurian which is associated with today's literary, journalistic and academic ligurophone sphere.""",
    "lt_alksnis": """The Lithuanian dependency treebank ALKSNIS v3.0 (Vytautas Magnus University).""",
    "lt_hse": """Lithuanian treebank annotated manually (dependencies) using the Morphological Annotator by CCL, Vytautas Magnus University (http://tekstynas.vdu.lt/) and manual disambiguation. A pilot version which includes news and an essay by Tomas Venclova is available here.""",
    "olo_kkpp": """UD Livvi-KKPP is a manually annotated new corpus of Livvi-Karelian made directly in the Universal dependencies annotation scheme. The data is collected from [VepKar corpora](http://dictorpus.krc.karelia.ru/en/corpus/text) and consists of mostly modern news texts but also some stories and educational texts.""",
    "nds_lsdc": """The UD Low Saxon LSDC dataset consists of sentences in 8 major Low Saxon dialect groups from both Germany and the Netherlands. These sentences are (or are to become) part of the LSDC dataset and represent the language from mostly the 19th and early 20th century in genres such as short stories, novels, speeches, letters and fairytales.""",
    "mk_mtb": """The Macedonian-MTB treebank is a collection of annotated sentences taken from the Macedonian version of the Cairo CICLing Corpus and from the university textbook in syntax "Contemporary Macedonian Language 4" by Simov Sazdov.""",
    "jaa_jarawara": """UD_Madi-Jarawara is a collection of annotated sentences in Madí (Jarawara dialect) from a variety of sources, including grammar examples, oral stories, didatic material, and dictionary examples.""",
    "qaf_arabizi": """A Universal Dependencies corpus for a romanized user-generated content variety of Algerian, a North-African Arabic dialect known for its frequent usage of code-switching. We added to the UD annotations NER annotations extending the French Treebank NER scheme (Sagot et al, 2012) and Offensive language classification and corrected many of the translations (still ongoing).""",
    "mpu_tudet": """UD_Makuráp-TuDeT is a collection of annotated texts in Makuráp. The project is a work in progress and the treebank is being updated on a regular basis. The sentences are being annotated by Carolina Aragon, Fabrício Ferraz Gerardi, Luana dos Santos, and Luan Cabral.""",
    "mt_mudt": """MUDT (Maltese Universal Dependencies Treebank) is a manually annotated treebank of Maltese, a Semitic language of Malta descended from North African Arabic with a significant amount of Italo-Romance influence. MUDT was designed as a balanced corpus with four major genres (see Splitting below) represented roughly equally.""",
    "gv_cadhan": """This is the Cadhan Aonair UD treebank for Manx Gaelic, created by Kevin Scannell.""",
    "mr_ufal": """UD Marathi is a manually annotated treebank consisting primarily of stories from Wikisource, and parts of an article on Wikipedia.""",
    "gun_dooley": """UD Mbya_Guarani-Dooley is a corpus of narratives written in Mbyá Guaraní (Tupian) in Brazil, and collected by Robert Dooley. Due to copyright restrictions, the corpus that is distributed as part of UD only contains the annotation (tags, features, relations) while the FORM and LEMMA columns are empty.""",
    "gun_thomas": """UD Mbya_Guarani-Thomas is a corpus of Mbyá Guaraní (Tupian) texts collected by Guillaume Thomas. The current version of the corpus consists of three speeches by Paulina Kerechu Núñez Romero, a Mbyá Guaraní speaker from Ytu, Caazapá Department, Paraguay.""",
    "mdf_jr": """Erme Universal Dependencies annotated texts Moksha are the origin of UD_Moksha-JR with annotation (CoNLL-U) for texts in the Moksha language, it originally consists of a sample from a number of fiction authors writing originals in Moksha.""",
    "myu_tudet": """UD_Munduruku-TuDeT is a collection of annotated sentences in [Mundurukú](http://www.endangeredlanguages.com/lang/2981). The project is a work in progress and the treebank is being updated on a regular basis.  </br> </br> </br> </br> </br>""",
    "nyq_aha": """The AHA Nayini Treebank is a small treebank for contemporary Nayini. Its corpus is collected and annotated manually. We have prepared this treebank based on interviews with Nayini speakers.""",
    "nap_rb": """This treebank contains example sentences in Neapolitan, translated by a native speaker.""",
    "sme_giella": """This is a North Sámi treebank based on a manually disambiguated and function-labelled gold-standard corpus of North Sámi produced by the Giellatekno team at UiT Norgga árktalaš universitehta.""",
    "kmr_kurmanji": """The treebank is a corpus of Kurmanji Kurdish. It contains fiction and encyclopaedic texts in roughly equal measure. It has been annotated natively in accordance with the UD annotation scheme.""",
    "no_bokmaal": """The Norwegian UD treebank is based on the Bokmål section of the Norwegian Dependency Treebank (NDT), which is a syntactic treebank of Norwegian. The current version of NDT has been automatically converted to the UD scheme by Ingerid Løyning Dale, Per Erik Solberg and Andre Kåsen at the Norwegian Language Bank at the National Library of Norway. This conversion builds to a large extent on previous conversions by Lilja Øvrelid at the University of Oslo.""",
    "no_nynorsk": """The Norwegian UD treebank is based on the Nynorsk section of the Norwegian Dependency Treebank (NDT), which is a syntactic treebank of Norwegian. NDT has been automatically converted to the UD scheme by Lilja Øvrelid at the University of Oslo.""",
    "oc_ttb": """Tolosa Treebank was developed as part of the EFA 227/16 LINGUATEC Project, financed by the POCTEFA Interreg European funds. It includes data from literature, newspapers, encyclopedia, scientific papers and web blogs.""",
    "or_odtb": """The Odia UD Treebank (ODTB) is a part of the Universal Dependency treebank project.""",
    "cu_proiel": """The Old Church Slavonic (OCS) UD treebank is based on canonical Old Church Slavonic data from the PROIEL and TOROT treebanks.""",
    "orv_rnc": """`UD_Old_East_Slavic-RNC` is a sample of the Middle Russian corpus (1300-1700), a part of the Russian National Corpus. The data were originally annotated according to the RNC and extended UD-Russian morphological schemas and UD 2.4 dependency schema.""",
    "orv_ruthenian": """The Ruthenian UD treebank includes texts written in the territories of modern Belarus, Lithuania, Ukraine, and Poland in ca. 1300-1700. A sample of legal and nonfiction texts is drawn from the Ruthenian Corpus.""",
    "orv_torot": """UD\_Old\_East\_Slavic-TOROT is a conversion of a selection of Old East Slavonic and Middle Russian data from the Tromsø Old Russian and OCS Treebank (TOROT), which was originally annotated in PROIEL dependency format.""",
    "fro_profiterole": """UD_Old_French-PROFITEROLE is an expansion of the previous UD_Old_French-SRCMF (which was a conversion of (part of) the SRCMF corpus (Syntactic Reference Corpus of Medieval French [srcmf.org](http://srcmf.org/)).""",
    "sga_dipsgg": """A Universal Dependencies treebank for the Old Irish glosses of St. Gall.""",
    "sga_dipwbg": """A Universal Dependencies treebank for the Old Irish Würzburg glosses.""",
    "otk_clausal": """This repository contains an [Old Turkish](https://iso639-3.sil.org/code/otk) treebank built upon Old Turkic script texts.""",
    "fa_seraji": """The Persian Universal Dependency Treebank (Seraji) is based on Uppsala Persian Dependency Treebank (UPDT). The conversion of the UPDT to the Universal Dependencies was performed semi-automatically with extensive manual checks and corrections.""",
    "pl_lfg": """The LFG Enhanced UD treebank of Polish is based on a corpus of LFG (Lexical Functional Grammar) syntactic structures generated by an LFG grammar of Polish, POLFIE, and manually disambiguated by human annotators.""",
    "pl_pdb": """The Polish PDB-UD treebank is automatically converted from the Polish Dependency Bank 2.0 (PDB 2.0). Both treebanks were created at the [Institute of Computer Science, Polish Academy of Sciences](https://ipipan.waw.pl/en/) in Warsaw (Poland).""",
    "pl_pud": """This is the Polish portion of the Parallel Universal Dependencies (PUD) treebanks, created at the [Institute of Computer Science, Polish Academy of Sciences](https://ipipan.waw.pl/en/) in Warsaw (Poland).""",
    "qpm_philotis": """The Pomak UD treebank  is derived from the Pomak Dependency Treebank, a resource developed and maintained by researchers at the Institute for Language and Speech Processing/Athena R.C. (http://www.ilsp.gr).""",
    "pt_bosque": """This Universal Dependencies (UD) Portuguese treebank is based on the Constraint Grammar converted version of the Bosque, which is part of the Floresta Sintá(c)tica treebank. It contains both European (CETEMPúblico) and Brazilian (CETENFolha) variants.""",
    "pt_gsd": """The Brazilian Portuguese UD is converted from the [Google Universal Dependency Treebank v2.0 (legacy)](https://github.com/ryanmcd/uni-dep-tb).""",
    "pt_pud": """This is a part of the Parallel Universal Dependencies (PUD) treebanks created for the [CoNLL 2017 shared task on Multilingual Parsing from Raw Text to Universal Dependencies](http://universaldependencies.org/conll17/).""",
    "ro_art": """The UD treebank ArT is a treebank of the Aromanian dialect of the Romanian language in UD format.""",
    "ro_nonstandard": """The Romanian Non-standard UD treebank (called UAIC-RoDia) is based on UAIC-RoDia Treebank. UAIC-RoDia = ISLRN 156-635-615-024-0""",
    "ro_rrt": """The Romanian UD treebank (called RoRefTrees) (Barbu Mititelu et al., 2016) is the reference treebank in UD format for standard Romanian.""",
    "ro_simonero": """SiMoNERo is a medical corpus of contemporary Romanian.""",
    "ru_gsd": """Russian Universal Dependencies Treebank annotated and converted by Google.""",
    "ru_pud": """This is a part of the Parallel Universal Dependencies (PUD) treebanks created for the [CoNLL 2017 shared task on Multilingual Parsing from Raw Text to Universal Dependencies](http://universaldependencies.org/conll17/).""",
    "ru_syntagrus": """Russian data from the SynTagRus corpus.""",
    "ru_taiga": """Universal Dependencies treebank is based on data samples extracted from Taiga Corpus and MorphoRuEval-2017 and GramEval-2020 shared tasks collections.""",
    "sa_ufal": """A small Sanskrit treebank of sentences from Pañcatantra, an ancient Indian collection of interrelated fables by Vishnu Sharma.""",
    "sa_vedic": """The Treebank of Vedic Sanskrit contains 4,000 sentences with 27,000 words chosen from metrical and prose passages of the Ṛgveda (RV), the Śaunaka recension of the Atharvaveda (ŚS), the Maitrāyaṇīsaṃhitā (MS), and the Aitareya- (AB) and Śatapatha-Brāhmaṇas (ŚB).  Lexical and morpho-syntactic information has been generated using a tagging software and manually validated. POS tags have been induced automatically from the morpho-sytactic information of each word.""",
    "gd_arcosg": """A treebank of Scottish Gaelic based on the [Annotated Reference Corpus Of Scottish Gaelic (ARCOSG)](https://github.com/Gaelic-Algorithmic-Research-Group/ARCOSG).""",
    "sr_set": """The Serbian UD treebank is based on the [SETimes-SR](http://hdl.handle.net/11356/1200) corpus and additional news documents from the Serbian web.""",
    "si_stb": """This treebank consists contemporary written Sinhala text taken from a 10M corpus maintained by UCSC, Sri Lanka. The corpus contains novels, short stories, Sinhala translations, critiques and Sinhala newspapers.""",
    "sms_giellagas": """The UD Skolt Sami Giellagas treebank is based almost entirely on spoken Skolt Sami corpora.""",
    "sk_snk": """The Slovak UD treebank is based on data originally annotated as part of the Slovak National Corpus, following the annotation style of the Prague Dependency Treebank.""",
    "sl_ssj": """The SSJ treebank is the reference UD treebank for Slovenian, consisting of approximately 13,000 sentences and 267,097 tokens from fiction, non-fiction, periodical and Wikipedia texts in standard modern Slovenian. As of UD release 2.10 in May 2022, the original version of the SSJ UD treebank has been partially manually revised and extended with new manually annotated data.""",
    "sl_sst": """The Spoken Slovenian Treebank (SST) is a manually annotated collection of transcribed audio recordings featuring spontaneous speech in various everyday situations. It includes 344 unique speech events (documents) amounting to approximately 10 hours of speech, encompassing a total of 6,121 utterances and 98,393 tokens.""",
    "soj_aha": """The AHA Soi Treebank is a small treebank for contemporary Soi. Its corpus is collected and annotated manually. We have prepared this treebank based on interviews with Soi speakers.""",
    "ajp_madar": """The South_Levantine_Arabic-MADAR treebank consists of 100 manually-annotated sentences taken from the [MADAR](https://camel.abudhabi.nyu.edu/madar/) (Multi-Arabic Dialect Applications and Resources) project.  TO-DO: Add 20 annotated sentences from CCC as a train set.""",
    "es_ancora": """Spanish data from the [AnCora](http://clic.ub.edu/corpus/) corpus.""",
    "es_gsd": """The Spanish UD is converted from the content head version of the [universal dependency treebank v2.0 (legacy)](https://github.com/ryanmcd/uni-dep-tb).""",
    "es_pud": """This is a part of the Parallel Universal Dependencies (PUD) treebanks created for the [CoNLL 2017 shared task on Multilingual Parsing from Raw Text to Universal Dependencies](http://universaldependencies.org/conll17/).""",
    "sv_lines": """UD Swedish_LinES is the Swedish half of the LinES Parallel Treebank with UD annotations. All segments are translations from English and the sources cover literary genres, online manuals and Europarl data.""",
    "sv_pud": """Swedish-PUD is the Swedish part of the Parallel Universal Dependencies (PUD) treebanks.""",
    "sv_talbanken": """The Swedish-Talbanken treebank is based on Talbanken, a treebank developed at Lund University in the 1970s.""",
    "swl_sslc": """The Universal Dependencies treebank for Swedish Sign Language (ISO 639-3: swl) is derived from the Swedish Sign Language Corpus (SSLC) from the department of linguistics, Stockholm University.""",
    "tl_trg": """UD_Tagalog-TRG is a UD treebank manually annotated using sentences from a grammar book.""",
    "tl_ugnayan": """Ugnayan is a manually annotated Tagalog treebank currently composed of educational fiction and nonfiction text. The treebank is under development at the University of the Philippines.""",
    "ta_mwtt": """MWTT - Modern Written Tamil Treebank has sentences taken primarily from a text called "A Grammar of Modern Tamil by Thomas Lehmann (1993). This initial release has 536 sentences of various lengths, and all of these are added as the test set.""",
    "ta_ttb": """The UD Tamil treebank is based on the Tamil Dependency Treebank created at the Charles University in Prague by Loganathan Ramasamy.""",
    "tt_nmctt": """UD Tatar-NMCTT is a manually annotated corpus of the Tatar language based on the text from Tatar-Inform (tatar-inform.tatar), an online news website.""",
    "eme_tudet": """UD_Teko-TuDeT is a collection of annotated sentences in <a href="https://glottolog.org/resource/languoid/id/emer1243"> Tekó (Emérillon) </a>. The sentences stem from the only grammatical description of the language (Rose, 2011). Sentence annotation and documantation by Uliana Vedenina and Fabrício Ferraz Gerardi.""",
    "te_mtg": """The Telugu UD treebank is created in UD based on manual annotations of sentences from a grammar book.""",
    "th_pud": """This is a part of the Parallel Universal Dependencies (PUD) treebanks created for the [CoNLL 2017 shared task on Multilingual Parsing from Raw Text to Universal Dependencies](http://universaldependencies.org/conll17/).""",
    "tpn_tudet": """UD_Tupinamba-TuDeT is a collection of annotated sentences in [Tupinambá](https://glottolog.org/resource/languoid/id/tupi1273). All known sources in this language are being annotated: cathecisms, letters, poems, theater plays, and grammars (sixteenth and seventeenth century). Sentence annotation and documentation by [Fabrício Ferraz Gerardi](https://languagestructure.github.io).""",
    "tr_atis": """This treebank is a translation of English ATIS (Airline Travel Information System) corpus (see References). It consists of 5432 sentences.""",
    "tr_boun": """A Turkish dependency treebank annotated in UD style. Created by the members of [TABILAB](https://tabilab.cmpe.boun.edu.tr/) from Boğaziçi University.""",
    "tr_framenet": """Turkish FrameNet consists of 2,700 manually annotated example sentences and 19,221 tokens. Its data consists of  the sentences taken from the Turkish FrameNet Project. The annotated sentences can be filtered according to the semantic frame category of the root of the sentence.""",
    "tr_gb": """This is a treebank annotating example sentences from a comprehensive grammar book of Turkish.""",
    "tr_imst": """The UD Turkish Treebank, also called the IMST-UD Treebank, is a semi-automatic conversion of the IMST Treebank (Sulubacak&Eryiğit, 2018; Sulubacak et al., 2016).""",
    "tr_kenet": """Turkish-Kenet UD Treebank is the biggest treebank of Turkish. It consists of 18,700 manually annotated sentences and 178,700 tokens. Its corpus consists of dictionary examples.""",
    "tr_penn": """Turkish version of the Penn Treebank. It consists of a total of 9,560 manually annotated sentences and 87,367 tokens. (It only includes sentences up to 15 words long.)""",
    "tr_pud": """This is a part of the Parallel Universal Dependencies (PUD) treebanks created for the [CoNLL 2017 shared task on Multilingual Parsing from Raw Text to Universal Dependencies](http://universaldependencies.org/conll17/).""",
    "tr_tourism": """Turkish Tourism is a domain specific treebank consisting of 19,750 manually annotated sentences and 92,200 tokens. These sentences were taken from the original customer reviews of a tourism company.""",
    "qtd_sagt": """UD Turkish-German SAGT is a Turkish-German code-switching treebank that is developed as part of the [SAGT](https://www.ims.uni-stuttgart.de/en/research/projects/sagt/) project.""",
    "uk_iu": """Gold standard Universal Dependencies corpus for Ukrainian, developed for UD originally, by [Institute for Ukrainian](https://mova.institute), NGO.   [[українською](https://mova.institute/золотий_стандарт)]""",
    "hsb_ufal": """A small treebank of Upper Sorbian based mostly on Wikipedia, partly also on other Sorbian websites.""",
    "ur_udtb": """The Urdu Universal Dependency Treebank was automatically converted from Urdu Dependency Treebank (UDTB) which is part of an ongoing effort of creating multi-layered treebanks for Hindi and Urdu.""",
    "ug_udt": """The Uyghur UD treebank is based on the Uyghur Dependency Treebank (UDT), created at the Xinjiang University in Ürümqi, China.""",
    "vi_vtb": """The Vietnamese UD treebank is a conversion of the constituent treebank created in the VLSP project (https://vlsp.hpda.vn/).""",
    "wbp_ufal": """A small treebank of grammatical examples in Warlpiri, taken from linguistic literature.""",
    "cy_ccg": """UD Welsh-CCG (Corpws Cystrawennol y Gymraeg) is a treebank of Welsh, annotated according to the Universal Dependencies guidelines.""",
    "hyw_armtdp": """A Universal Dependencies treebank for Western Armenian was developed for UD originally by the ArmTDP team led by Marat M. Yavrumyan at the Yerevan State University.""",
    "nhi_itml": """UD Western Sierra Puebla Nahuatl-IU is a treebank consisting of sentences from written fiction and non-fiction, spontaenous speech, and grammar examples.""",
    "wo_wtb": """UD_Wolof-WTB is a natively manual developed treebank for Wolof. Sentences were collected from encyclopedic, fictional, biographical, religious texts and news.""",
    "sjo_xdt": """The UD Xibe Treebank is a corpus of the Xibe language (ISO 639-3: *sjo*) containing manually annotated syntactic trees under the Universal Dependencies. Sentences come from three sources: grammar book examples, newspaper (Cabcal News) and Xibe textbooks.""",
    "sah_yktdt": """UD_Yakut-YKTDT is a collection Yakut ([Sakha]) sentences (https://glottolog.org/resource/languoid/id/yaku1245). The project is work-in-progress and the treebank is being updated on a regular basis.""",
    "yo_ytb": """Parts of the Yoruba Bible and of the Yoruba edition of Wikipedia, hand-annotated natively in Universal Dependencies.""",
    "ess_sli": """UD_Yupik-SLI is a treebank of St. Lawrence Island Yupik (ISO 639-3: ess) that has been manually annotated at the morpheme level, based on a finite-state morphological analyzer by [Chen et al., 2020](https://www.aclweb.org/anthology/2020.lrec-1.326). The word-level annotation, merging multiword expressions, is provided in not-to-release/ess_sli-ud-test.merged.conllu. More information about the treebank can be found in our publication (AmericasNLP, 2021).""",
}

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_PREFIX = "https://raw.githubusercontent.com/UniversalDependencies/"
_UD_DATASETS = {
        "abq_atb": {
                "test": ['UD_Abaza-ATB/r2.17/abq_atb-ud-test.conllu'],
        },
        "af_afribooms": {
                "train": ['UD_Afrikaans-AfriBooms/r2.17/af_afribooms-ud-train.conllu'],
                "dev": ['UD_Afrikaans-AfriBooms/r2.17/af_afribooms-ud-dev.conllu'],
                "test": ['UD_Afrikaans-AfriBooms/r2.17/af_afribooms-ud-test.conllu'],
        },
        "akk_pisandub": {
                "test": ['UD_Akkadian-PISANDUB/r2.17/akk_pisandub-ud-test.conllu'],
        },
        "aqz_tudet": {
                "test": ['UD_Akuntsu-TuDeT/r2.17/aqz_tudet-ud-test.conllu'],
        },
        "sq_tsa": {
                "test": ['UD_Albanian-TSA/r2.17/sq_tsa-ud-test.conllu'],
        },
        "gsw_uzh": {
                "test": ['UD_Alemannic-UZH/r2.17/gsw_uzh-ud-test.conllu'],
        },
        "am_att": {
                "test": ['UD_Amharic-ATT/r2.17/am_att-ud-test.conllu'],
        },
        "grc_perseus": {
                "train": ['UD_Ancient_Greek-Perseus/r2.17/grc_perseus-ud-train.conllu'],
                "dev": ['UD_Ancient_Greek-Perseus/r2.17/grc_perseus-ud-dev.conllu'],
                "test": ['UD_Ancient_Greek-Perseus/r2.17/grc_perseus-ud-test.conllu'],
        },
        "grc_proiel": {
                "train": ['UD_Ancient_Greek-PROIEL/r2.17/grc_proiel-ud-train.conllu'],
                "dev": ['UD_Ancient_Greek-PROIEL/r2.17/grc_proiel-ud-dev.conllu'],
                "test": ['UD_Ancient_Greek-PROIEL/r2.17/grc_proiel-ud-test.conllu'],
        },
        "grc_ptnk": {
                "train": ['UD_Ancient_Greek-PTNK/r2.17/grc_ptnk-ud-train.conllu'],
                "dev": ['UD_Ancient_Greek-PTNK/r2.17/grc_ptnk-ud-dev.conllu'],
                "test": ['UD_Ancient_Greek-PTNK/r2.17/grc_ptnk-ud-test.conllu'],
        },
        "hbo_ptnk": {
                "train": ['UD_Ancient_Hebrew-PTNK/r2.17/hbo_ptnk-ud-train.conllu'],
                "dev": ['UD_Ancient_Hebrew-PTNK/r2.17/hbo_ptnk-ud-dev.conllu'],
                "test": ['UD_Ancient_Hebrew-PTNK/r2.17/hbo_ptnk-ud-test.conllu'],
        },
        "apu_ufpa": {
                "test": ['UD_Apurina-UFPA/r2.17/apu_ufpa-ud-test.conllu'],
        },
        "ar_nyuad": {
                "train": ['UD_Arabic-NYUAD/r2.17/ar_nyuad-ud-train.conllu'],
                "dev": ['UD_Arabic-NYUAD/r2.17/ar_nyuad-ud-dev.conllu'],
                "test": ['UD_Arabic-NYUAD/r2.17/ar_nyuad-ud-test.conllu'],
        },
        "ar_padt": {
                "train": ['UD_Arabic-PADT/r2.17/ar_padt-ud-train.conllu'],
                "dev": ['UD_Arabic-PADT/r2.17/ar_padt-ud-dev.conllu'],
                "test": ['UD_Arabic-PADT/r2.17/ar_padt-ud-test.conllu'],
        },
        "ar_pud": {
                "test": ['UD_Arabic-PUD/r2.17/ar_pud-ud-test.conllu'],
        },
        "hy_armtdp": {
                "train": ['UD_Armenian-ArmTDP/r2.17/hy_armtdp-ud-train.conllu'],
                "dev": ['UD_Armenian-ArmTDP/r2.17/hy_armtdp-ud-dev.conllu'],
                "test": ['UD_Armenian-ArmTDP/r2.17/hy_armtdp-ud-test.conllu'],
        },
        "hy_bsut": {
                "train": ['UD_Armenian-BSUT/r2.17/hy_bsut-ud-train.conllu'],
                "dev": ['UD_Armenian-BSUT/r2.17/hy_bsut-ud-dev.conllu'],
                "test": ['UD_Armenian-BSUT/r2.17/hy_bsut-ud-test.conllu'],
        },
        "aii_as": {
                "test": ['UD_Assyrian-AS/r2.17/aii_as-ud-test.conllu'],
        },
        "bm_crb": {
                "test": ['UD_Bambara-CRB/r2.17/bm_crb-ud-test.conllu'],
        },
        "eu_bdt": {
                "train": ['UD_Basque-BDT/r2.17/eu_bdt-ud-train.conllu'],
                "dev": ['UD_Basque-BDT/r2.17/eu_bdt-ud-dev.conllu'],
                "test": ['UD_Basque-BDT/r2.17/eu_bdt-ud-test.conllu'],
        },
        "bej_autogramm": {
                "test": ['UD_Beja-Autogramm/r2.17/bej_autogramm-ud-test.conllu'],
        },
        "be_hse": {
                "train": ['UD_Belarusian-HSE/r2.17/be_hse-ud-train.conllu'],
                "dev": ['UD_Belarusian-HSE/r2.17/be_hse-ud-dev.conllu'],
                "test": ['UD_Belarusian-HSE/r2.17/be_hse-ud-test.conllu'],
        },
        "bn_bru": {
                "test": ['UD_Bengali-BRU/r2.17/bn_bru-ud-test.conllu'],
        },
        "bho_bhtb": {
                "test": ['UD_Bhojpuri-BHTB/r2.17/bho_bhtb-ud-test.conllu'],
        },
        "br_keb": {
                "test": ['UD_Breton-KEB/r2.17/br_keb-ud-test.conllu'],
        },
        "bg_btb": {
                "train": ['UD_Bulgarian-BTB/r2.17/bg_btb-ud-train.conllu'],
                "dev": ['UD_Bulgarian-BTB/r2.17/bg_btb-ud-dev.conllu'],
                "test": ['UD_Bulgarian-BTB/r2.17/bg_btb-ud-test.conllu'],
        },
        "bxr_bdt": {
                "train": ['UD_Buryat-BDT/r2.17/bxr_bdt-ud-train.conllu'],
                "test": ['UD_Buryat-BDT/r2.17/bxr_bdt-ud-test.conllu'],
        },
        "yue_hk": {
                "test": ['UD_Cantonese-HK/r2.17/yue_hk-ud-test.conllu'],
        },
        "cpg_amgic": {
                "test": ['UD_Cappadocian-AMGiC/r2.17/cpg_amgic-ud-test.conllu'],
        },
        "ca_ancora": {
                "train": ['UD_Catalan-AnCora/r2.17/ca_ancora-ud-train.conllu'],
                "dev": ['UD_Catalan-AnCora/r2.17/ca_ancora-ud-dev.conllu'],
                "test": ['UD_Catalan-AnCora/r2.17/ca_ancora-ud-test.conllu'],
        },
        "ceb_gja": {
                "test": ['UD_Cebuano-GJA/r2.17/ceb_gja-ud-test.conllu'],
        },
        "ckb_mukri": {
                "train": ['UD_Central_Kurdish-Mukri/r2.17/ckb_mukri-ud-train.conllu'],
                "dev": ['UD_Central_Kurdish-Mukri/r2.17/ckb_mukri-ud-dev.conllu'],
                "test": ['UD_Central_Kurdish-Mukri/r2.17/ckb_mukri-ud-test.conllu'],
        },
        "zh_cfl": {
                "test": ['UD_Chinese-CFL/r2.17/zh_cfl-ud-test.conllu'],
        },
        "zh_gsd": {
                "train": ['UD_Chinese-GSD/r2.17/zh_gsd-ud-train.conllu'],
                "dev": ['UD_Chinese-GSD/r2.17/zh_gsd-ud-dev.conllu'],
                "test": ['UD_Chinese-GSD/r2.17/zh_gsd-ud-test.conllu'],
        },
        "zh_gsdsimp": {
                "train": ['UD_Chinese-GSDSimp/r2.17/zh_gsdsimp-ud-train.conllu'],
                "dev": ['UD_Chinese-GSDSimp/r2.17/zh_gsdsimp-ud-dev.conllu'],
                "test": ['UD_Chinese-GSDSimp/r2.17/zh_gsdsimp-ud-test.conllu'],
        },
        "zh_hk": {
                "test": ['UD_Chinese-HK/r2.17/zh_hk-ud-test.conllu'],
        },
        "zh_pud": {
                "test": ['UD_Chinese-PUD/r2.17/zh_pud-ud-test.conllu'],
        },
        "ckt_hse": {
                "test": ['UD_Chukchi-HSE/r2.17/ckt_hse-ud-test.conllu'],
        },
        "lzh_kyoto": {
                "train": ['UD_Classical_Chinese-Kyoto/r2.17/lzh_kyoto-ud-train.conllu'],
                "dev": ['UD_Classical_Chinese-Kyoto/r2.17/lzh_kyoto-ud-dev.conllu'],
                "test": ['UD_Classical_Chinese-Kyoto/r2.17/lzh_kyoto-ud-test.conllu'],
        },
        "cop_scriptorium": {
                "train": ['UD_Coptic-Scriptorium/r2.17/cop_scriptorium-ud-train.conllu'],
                "dev": ['UD_Coptic-Scriptorium/r2.17/cop_scriptorium-ud-dev.conllu'],
                "test": ['UD_Coptic-Scriptorium/r2.17/cop_scriptorium-ud-test.conllu'],
        },
        "hr_set": {
                "train": ['UD_Croatian-SET/r2.17/hr_set-ud-train.conllu'],
                "dev": ['UD_Croatian-SET/r2.17/hr_set-ud-dev.conllu'],
                "test": ['UD_Croatian-SET/r2.17/hr_set-ud-test.conllu'],
        },
        "cs_cac": {
                "train": ['UD_Czech-CAC/r2.17/cs_cac-ud-train.conllu'],
                "dev": ['UD_Czech-CAC/r2.17/cs_cac-ud-dev.conllu'],
                "test": ['UD_Czech-CAC/r2.17/cs_cac-ud-test.conllu'],
        },
        "cs_cltt": {
                "train": ['UD_Czech-CLTT/r2.17/cs_cltt-ud-train.conllu'],
                "dev": ['UD_Czech-CLTT/r2.17/cs_cltt-ud-dev.conllu'],
                "test": ['UD_Czech-CLTT/r2.17/cs_cltt-ud-test.conllu'],
        },
        "cs_fictree": {
                "train": ['UD_Czech-FicTree/r2.17/cs_fictree-ud-train.conllu'],
                "dev": ['UD_Czech-FicTree/r2.17/cs_fictree-ud-dev.conllu'],
                "test": ['UD_Czech-FicTree/r2.17/cs_fictree-ud-test.conllu'],
        },
        "cs_pdtc": {
                "train": ['UD_Czech-PDTC/r2.17/cs_pdtc-ud-train-wt2.conllu', 'UD_Czech-PDTC/r2.17/cs_pdtc-ud-train-wt0.conllu', 'UD_Czech-PDTC/r2.17/cs_pdtc-ud-train-la.conllu', 'UD_Czech-PDTC/r2.17/cs_pdtc-ud-train-wt1.conllu', 'UD_Czech-PDTC/r2.17/cs_pdtc-ud-train-mt.conllu', 'UD_Czech-PDTC/r2.17/cs_pdtc-ud-train-ma.conllu', 'UD_Czech-PDTC/r2.17/cs_pdtc-ud-train-ct.conllu', 'UD_Czech-PDTC/r2.17/cs_pdtc-ud-train-ft.conllu', 'UD_Czech-PDTC/r2.17/cs_pdtc-ud-train-va.conllu', 'UD_Czech-PDTC/r2.17/cs_pdtc-ud-train-st.conllu', 'UD_Czech-PDTC/r2.17/cs_pdtc-ud-train-ca.conllu', 'UD_Czech-PDTC/r2.17/cs_pdtc-ud-train-lt.conllu'],
                "dev": ['UD_Czech-PDTC/r2.17/cs_pdtc-ud-dev.conllu'],
                "test": ['UD_Czech-PDTC/r2.17/cs_pdtc-ud-test.conllu'],
        },
        "cs_pud": {
                "test": ['UD_Czech-PUD/r2.17/cs_pud-ud-test.conllu'],
        },
        "da_ddt": {
                "train": ['UD_Danish-DDT/r2.17/da_ddt-ud-train.conllu'],
                "dev": ['UD_Danish-DDT/r2.17/da_ddt-ud-dev.conllu'],
                "test": ['UD_Danish-DDT/r2.17/da_ddt-ud-test.conllu'],
        },
        "nl_alpino": {
                "train": ['UD_Dutch-Alpino/r2.17/nl_alpino-ud-train.conllu'],
                "dev": ['UD_Dutch-Alpino/r2.17/nl_alpino-ud-dev.conllu'],
                "test": ['UD_Dutch-Alpino/r2.17/nl_alpino-ud-test.conllu'],
        },
        "nl_lassysmall": {
                "train": ['UD_Dutch-LassySmall/r2.17/nl_lassysmall-ud-train.conllu'],
                "dev": ['UD_Dutch-LassySmall/r2.17/nl_lassysmall-ud-dev.conllu'],
                "test": ['UD_Dutch-LassySmall/r2.17/nl_lassysmall-ud-test.conllu'],
        },
        "en_atis": {
                "train": ['UD_English-Atis/r2.17/en_atis-ud-train.conllu'],
                "dev": ['UD_English-Atis/r2.17/en_atis-ud-dev.conllu'],
                "test": ['UD_English-Atis/r2.17/en_atis-ud-test.conllu'],
        },
        "en_ctetex": {
                "test": ['UD_English-CTeTex/r2.17/en_ctetex-ud-test.conllu'],
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                "train": ['UD_Low_Saxon-LSDC/r2.17/nds_lsdc-ud-train.conllu'],
                "test": ['UD_Low_Saxon-LSDC/r2.17/nds_lsdc-ud-test.conllu'],
        },
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                "test": ['UD_Macedonian-MTB/r2.17/mk_mtb-ud-test.conllu'],
        },
        "jaa_jarawara": {
                "test": ['UD_Madi-Jarawara/r2.17/jaa_jarawara-ud-test.conllu'],
        },
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                "train": ['UD_Maghrebi_Arabic_French-Arabizi/r2.17/qaf_arabizi-ud-train.conllu'],
                "dev": ['UD_Maghrebi_Arabic_French-Arabizi/r2.17/qaf_arabizi-ud-dev.conllu'],
                "test": ['UD_Maghrebi_Arabic_French-Arabizi/r2.17/qaf_arabizi-ud-test.conllu'],
        },
        "mpu_tudet": {
                "test": ['UD_Makurap-TuDeT/r2.17/mpu_tudet-ud-test.conllu'],
        },
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                "train": ['UD_Maltese-MUDT/r2.17/mt_mudt-ud-train.conllu'],
                "dev": ['UD_Maltese-MUDT/r2.17/mt_mudt-ud-dev.conllu'],
                "test": ['UD_Maltese-MUDT/r2.17/mt_mudt-ud-test.conllu'],
        },
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                "train": ['UD_Manx-Cadhan/r2.17/gv_cadhan-ud-train.conllu'],
                "test": ['UD_Manx-Cadhan/r2.17/gv_cadhan-ud-test.conllu'],
        },
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                "train": ['UD_Marathi-UFAL/r2.17/mr_ufal-ud-train.conllu'],
                "dev": ['UD_Marathi-UFAL/r2.17/mr_ufal-ud-dev.conllu'],
                "test": ['UD_Marathi-UFAL/r2.17/mr_ufal-ud-test.conllu'],
        },
        "gun_dooley": {
                "test": ['UD_Mbya_Guarani-Dooley/r2.17/gun_dooley-ud-test.conllu'],
        },
        "gun_thomas": {
                "test": ['UD_Mbya_Guarani-Thomas/r2.17/gun_thomas-ud-test.conllu'],
        },
        "mdf_jr": {
                "train": ['UD_Moksha-JR/r2.17/mdf_jr-ud-train.conllu'],
                "test": ['UD_Moksha-JR/r2.17/mdf_jr-ud-test.conllu'],
        },
        "myu_tudet": {
                "test": ['UD_Munduruku-TuDeT/r2.17/myu_tudet-ud-test.conllu'],
        },
        "nyq_aha": {
                "test": ['UD_Nayini-AHA/r2.17/nyq_aha-ud-test.conllu'],
        },
        "nap_rb": {
                "test": ['UD_Neapolitan-RB/r2.17/nap_rb-ud-test.conllu'],
        },
        "sme_giella": {
                "train": ['UD_North_Sami-Giella/r2.17/sme_giella-ud-train.conllu'],
                "test": ['UD_North_Sami-Giella/r2.17/sme_giella-ud-test.conllu'],
        },
        "kmr_kurmanji": {
                "train": ['UD_Northern_Kurdish-Kurmanji/r2.17/kmr_kurmanji-ud-train.conllu'],
                "test": ['UD_Northern_Kurdish-Kurmanji/r2.17/kmr_kurmanji-ud-test.conllu'],
        },
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                "train": ['UD_Norwegian-Bokmaal/r2.17/no_bokmaal-ud-train.conllu'],
                "dev": ['UD_Norwegian-Bokmaal/r2.17/no_bokmaal-ud-dev.conllu'],
                "test": ['UD_Norwegian-Bokmaal/r2.17/no_bokmaal-ud-test.conllu'],
        },
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                "train": ['UD_Norwegian-Nynorsk/r2.17/no_nynorsk-ud-train.conllu'],
                "dev": ['UD_Norwegian-Nynorsk/r2.17/no_nynorsk-ud-dev.conllu'],
                "test": ['UD_Norwegian-Nynorsk/r2.17/no_nynorsk-ud-test.conllu'],
        },
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                "train": ['UD_Occitan-TTB/r2.17/oc_ttb-ud-train.conllu'],
                "dev": ['UD_Occitan-TTB/r2.17/oc_ttb-ud-dev.conllu'],
                "test": ['UD_Occitan-TTB/r2.17/oc_ttb-ud-test.conllu'],
        },
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                "test": ['UD_Odia-ODTB/r2.17/or_odtb-ud-test.conllu'],
        },
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                "train": ['UD_Old_Church_Slavonic-PROIEL/r2.17/cu_proiel-ud-train.conllu'],
                "dev": ['UD_Old_Church_Slavonic-PROIEL/r2.17/cu_proiel-ud-dev.conllu'],
                "test": ['UD_Old_Church_Slavonic-PROIEL/r2.17/cu_proiel-ud-test.conllu'],
        },
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                "train": ['UD_Old_East_Slavic-RNC/r2.17/orv_rnc-ud-train.conllu'],
                "dev": ['UD_Old_East_Slavic-RNC/r2.17/orv_rnc-ud-dev.conllu'],
                "test": ['UD_Old_East_Slavic-RNC/r2.17/orv_rnc-ud-test.conllu'],
        },
        "orv_ruthenian": {
                "train": ['UD_Old_East_Slavic-Ruthenian/r2.17/orv_ruthenian-ud-train.conllu'],
                "dev": ['UD_Old_East_Slavic-Ruthenian/r2.17/orv_ruthenian-ud-dev.conllu'],
                "test": ['UD_Old_East_Slavic-Ruthenian/r2.17/orv_ruthenian-ud-test.conllu'],
        },
        "orv_torot": {
                "train": ['UD_Old_East_Slavic-TOROT/r2.17/orv_torot-ud-train.conllu'],
                "dev": ['UD_Old_East_Slavic-TOROT/r2.17/orv_torot-ud-dev.conllu'],
                "test": ['UD_Old_East_Slavic-TOROT/r2.17/orv_torot-ud-test.conllu'],
        },
        "fro_profiterole": {
                "train": ['UD_Old_French-PROFITEROLE/r2.17/fro_profiterole-ud-train.conllu'],
                "dev": ['UD_Old_French-PROFITEROLE/r2.17/fro_profiterole-ud-dev.conllu'],
                "test": ['UD_Old_French-PROFITEROLE/r2.17/fro_profiterole-ud-test.conllu'],
        },
        "sga_dipsgg": {
                "test": ['UD_Old_Irish-DipSGG/r2.17/sga_dipsgg-ud-test.conllu'],
        },
        "sga_dipwbg": {
                "test": ['UD_Old_Irish-DipWBG/r2.17/sga_dipwbg-ud-test.conllu'],
        },
        "otk_clausal": {
                "test": ['UD_Old_Turkish-Clausal/r2.17/otk_clausal-ud-test.conllu'],
        },
        "fa_seraji": {
                "train": ['UD_Persian-Seraji/r2.17/fa_seraji-ud-train.conllu'],
                "dev": ['UD_Persian-Seraji/r2.17/fa_seraji-ud-dev.conllu'],
                "test": ['UD_Persian-Seraji/r2.17/fa_seraji-ud-test.conllu'],
        },
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                "train": ['UD_Polish-LFG/r2.17/pl_lfg-ud-train.conllu'],
                "dev": ['UD_Polish-LFG/r2.17/pl_lfg-ud-dev.conllu'],
                "test": ['UD_Polish-LFG/r2.17/pl_lfg-ud-test.conllu'],
        },
        "pl_pdb": {
                "train": ['UD_Polish-PDB/r2.17/pl_pdb-ud-train.conllu'],
                "dev": ['UD_Polish-PDB/r2.17/pl_pdb-ud-dev.conllu'],
                "test": ['UD_Polish-PDB/r2.17/pl_pdb-ud-test.conllu'],
        },
        "pl_pud": {
                "test": ['UD_Polish-PUD/r2.17/pl_pud-ud-test.conllu'],
        },
        "qpm_philotis": {
                "train": ['UD_Pomak-Philotis/r2.17/qpm_philotis-ud-train.conllu'],
                "dev": ['UD_Pomak-Philotis/r2.17/qpm_philotis-ud-dev.conllu'],
                "test": ['UD_Pomak-Philotis/r2.17/qpm_philotis-ud-test.conllu'],
        },
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                "train": ['UD_Portuguese-Bosque/r2.17/pt_bosque-ud-train.conllu'],
                "dev": ['UD_Portuguese-Bosque/r2.17/pt_bosque-ud-dev.conllu'],
                "test": ['UD_Portuguese-Bosque/r2.17/pt_bosque-ud-test.conllu'],
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                "train": ['UD_Portuguese-GSD/r2.17/pt_gsd-ud-train.conllu'],
                "dev": ['UD_Portuguese-GSD/r2.17/pt_gsd-ud-dev.conllu'],
                "test": ['UD_Portuguese-GSD/r2.17/pt_gsd-ud-test.conllu'],
        },
        "pt_pud": {
                "test": ['UD_Portuguese-PUD/r2.17/pt_pud-ud-test.conllu'],
        },
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                "test": ['UD_Romanian-ArT/r2.17/ro_art-ud-test.conllu'],
        },
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                "train": ['UD_Romanian-Nonstandard/r2.17/ro_nonstandard-ud-train.conllu'],
                "dev": ['UD_Romanian-Nonstandard/r2.17/ro_nonstandard-ud-dev.conllu'],
                "test": ['UD_Romanian-Nonstandard/r2.17/ro_nonstandard-ud-test.conllu'],
        },
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                "train": ['UD_Romanian-RRT/r2.17/ro_rrt-ud-train.conllu'],
                "dev": ['UD_Romanian-RRT/r2.17/ro_rrt-ud-dev.conllu'],
                "test": ['UD_Romanian-RRT/r2.17/ro_rrt-ud-test.conllu'],
        },
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                "train": ['UD_Romanian-SiMoNERo/r2.17/ro_simonero-ud-train.conllu'],
                "dev": ['UD_Romanian-SiMoNERo/r2.17/ro_simonero-ud-dev.conllu'],
                "test": ['UD_Romanian-SiMoNERo/r2.17/ro_simonero-ud-test.conllu'],
        },
        "ru_gsd": {
                "train": ['UD_Russian-GSD/r2.17/ru_gsd-ud-train.conllu'],
                "dev": ['UD_Russian-GSD/r2.17/ru_gsd-ud-dev.conllu'],
                "test": ['UD_Russian-GSD/r2.17/ru_gsd-ud-test.conllu'],
        },
        "ru_pud": {
                "test": ['UD_Russian-PUD/r2.17/ru_pud-ud-test.conllu'],
        },
        "ru_syntagrus": {
                "train": ['UD_Russian-SynTagRus/r2.17/ru_syntagrus-ud-train-a.conllu', 'UD_Russian-SynTagRus/r2.17/ru_syntagrus-ud-train-b.conllu', 'UD_Russian-SynTagRus/r2.17/ru_syntagrus-ud-train-c.conllu'],
                "dev": ['UD_Russian-SynTagRus/r2.17/ru_syntagrus-ud-dev.conllu'],
                "test": ['UD_Russian-SynTagRus/r2.17/ru_syntagrus-ud-test.conllu'],
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                "train": ['UD_Russian-Taiga/r2.17/ru_taiga-ud-train-e.conllu', 'UD_Russian-Taiga/r2.17/ru_taiga-ud-train-b.conllu', 'UD_Russian-Taiga/r2.17/ru_taiga-ud-train-a.conllu', 'UD_Russian-Taiga/r2.17/ru_taiga-ud-train-c.conllu', 'UD_Russian-Taiga/r2.17/ru_taiga-ud-train-d.conllu'],
                "dev": ['UD_Russian-Taiga/r2.17/ru_taiga-ud-dev.conllu'],
                "test": ['UD_Russian-Taiga/r2.17/ru_taiga-ud-test.conllu'],
        },
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                "test": ['UD_Sanskrit-UFAL/r2.17/sa_ufal-ud-test.conllu'],
        },
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                "train": ['UD_Sanskrit-Vedic/r2.17/sa_vedic-ud-train.conllu'],
                "dev": ['UD_Sanskrit-Vedic/r2.17/sa_vedic-ud-dev.conllu'],
                "test": ['UD_Sanskrit-Vedic/r2.17/sa_vedic-ud-test.conllu'],
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                "train": ['UD_Scottish_Gaelic-ARCOSG/r2.17/gd_arcosg-ud-train.conllu'],
                "dev": ['UD_Scottish_Gaelic-ARCOSG/r2.17/gd_arcosg-ud-dev.conllu'],
                "test": ['UD_Scottish_Gaelic-ARCOSG/r2.17/gd_arcosg-ud-test.conllu'],
        },
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                "train": ['UD_Serbian-SET/r2.17/sr_set-ud-train.conllu'],
                "dev": ['UD_Serbian-SET/r2.17/sr_set-ud-dev.conllu'],
                "test": ['UD_Serbian-SET/r2.17/sr_set-ud-test.conllu'],
        },
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                "test": ['UD_Sinhala-STB/r2.17/si_stb-ud-test.conllu'],
        },
        "sms_giellagas": {
                "train": ['UD_Skolt_Sami-Giellagas/r2.17/sms_giellagas-ud-train.conllu'],
                "test": ['UD_Skolt_Sami-Giellagas/r2.17/sms_giellagas-ud-test.conllu'],
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                "train": ['UD_Slovak-SNK/r2.17/sk_snk-ud-train.conllu'],
                "dev": ['UD_Slovak-SNK/r2.17/sk_snk-ud-dev.conllu'],
                "test": ['UD_Slovak-SNK/r2.17/sk_snk-ud-test.conllu'],
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                "train": ['UD_Slovenian-SSJ/r2.17/sl_ssj-ud-train.conllu'],
                "dev": ['UD_Slovenian-SSJ/r2.17/sl_ssj-ud-dev.conllu'],
                "test": ['UD_Slovenian-SSJ/r2.17/sl_ssj-ud-test.conllu'],
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                "train": ['UD_Slovenian-SST/r2.17/sl_sst-ud-train.conllu'],
                "dev": ['UD_Slovenian-SST/r2.17/sl_sst-ud-dev.conllu'],
                "test": ['UD_Slovenian-SST/r2.17/sl_sst-ud-test.conllu'],
        },
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                "test": ['UD_Soi-AHA/r2.17/soj_aha-ud-test.conllu'],
        },
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                "test": ['UD_South_Levantine_Arabic-MADAR/r2.17/ajp_madar-ud-test.conllu'],
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                "train": ['UD_Spanish-AnCora/r2.17/es_ancora-ud-train.conllu'],
                "dev": ['UD_Spanish-AnCora/r2.17/es_ancora-ud-dev.conllu'],
                "test": ['UD_Spanish-AnCora/r2.17/es_ancora-ud-test.conllu'],
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                "train": ['UD_Spanish-GSD/r2.17/es_gsd-ud-train.conllu'],
                "dev": ['UD_Spanish-GSD/r2.17/es_gsd-ud-dev.conllu'],
                "test": ['UD_Spanish-GSD/r2.17/es_gsd-ud-test.conllu'],
        },
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                "test": ['UD_Spanish-PUD/r2.17/es_pud-ud-test.conllu'],
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                "train": ['UD_Swedish-LinES/r2.17/sv_lines-ud-train.conllu'],
                "dev": ['UD_Swedish-LinES/r2.17/sv_lines-ud-dev.conllu'],
                "test": ['UD_Swedish-LinES/r2.17/sv_lines-ud-test.conllu'],
        },
        "sv_pud": {
                "test": ['UD_Swedish-PUD/r2.17/sv_pud-ud-test.conllu'],
        },
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                "train": ['UD_Swedish-Talbanken/r2.17/sv_talbanken-ud-train.conllu'],
                "dev": ['UD_Swedish-Talbanken/r2.17/sv_talbanken-ud-dev.conllu'],
                "test": ['UD_Swedish-Talbanken/r2.17/sv_talbanken-ud-test.conllu'],
        },
        "swl_sslc": {
                "test": ['UD_Swedish_Sign_Language-SSLC/r2.17/swl_sslc-ud-test.conllu'],
        },
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                "test": ['UD_Tagalog-TRG/r2.17/tl_trg-ud-test.conllu'],
        },
        "tl_ugnayan": {
                "test": ['UD_Tagalog-Ugnayan/r2.17/tl_ugnayan-ud-test.conllu'],
        },
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                "test": ['UD_Tamil-MWTT/r2.17/ta_mwtt-ud-test.conllu'],
        },
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                "train": ['UD_Tamil-TTB/r2.17/ta_ttb-ud-train.conllu'],
                "dev": ['UD_Tamil-TTB/r2.17/ta_ttb-ud-dev.conllu'],
                "test": ['UD_Tamil-TTB/r2.17/ta_ttb-ud-test.conllu'],
        },
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                "test": ['UD_Tatar-NMCTT/r2.17/tt_nmctt-ud-test.conllu'],
        },
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                "test": ['UD_Teko-TuDeT/r2.17/eme_tudet-ud-test.conllu'],
        },
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                "train": ['UD_Telugu-MTG/r2.17/te_mtg-ud-train.conllu'],
                "dev": ['UD_Telugu-MTG/r2.17/te_mtg-ud-dev.conllu'],
                "test": ['UD_Telugu-MTG/r2.17/te_mtg-ud-test.conllu'],
        },
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                "test": ['UD_Thai-PUD/r2.17/th_pud-ud-test.conllu'],
        },
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                "test": ['UD_Tupinamba-TuDeT/r2.17/tpn_tudet-ud-test.conllu'],
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                "train": ['UD_Turkish-Atis/r2.17/tr_atis-ud-train.conllu'],
                "dev": ['UD_Turkish-Atis/r2.17/tr_atis-ud-dev.conllu'],
                "test": ['UD_Turkish-Atis/r2.17/tr_atis-ud-test.conllu'],
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                "train": ['UD_Turkish-BOUN/r2.17/tr_boun-ud-train.conllu'],
                "dev": ['UD_Turkish-BOUN/r2.17/tr_boun-ud-dev.conllu'],
                "test": ['UD_Turkish-BOUN/r2.17/tr_boun-ud-test.conllu'],
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                "train": ['UD_Turkish-FrameNet/r2.17/tr_framenet-ud-train.conllu'],
                "dev": ['UD_Turkish-FrameNet/r2.17/tr_framenet-ud-dev.conllu'],
                "test": ['UD_Turkish-FrameNet/r2.17/tr_framenet-ud-test.conllu'],
        },
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                "test": ['UD_Turkish-GB/r2.17/tr_gb-ud-test.conllu'],
        },
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                "train": ['UD_Turkish-IMST/r2.17/tr_imst-ud-train.conllu'],
                "dev": ['UD_Turkish-IMST/r2.17/tr_imst-ud-dev.conllu'],
                "test": ['UD_Turkish-IMST/r2.17/tr_imst-ud-test.conllu'],
        },
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                "train": ['UD_Turkish-Kenet/r2.17/tr_kenet-ud-train.conllu'],
                "dev": ['UD_Turkish-Kenet/r2.17/tr_kenet-ud-dev.conllu'],
                "test": ['UD_Turkish-Kenet/r2.17/tr_kenet-ud-test.conllu'],
        },
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                "train": ['UD_Turkish-Penn/r2.17/tr_penn-ud-train.conllu'],
                "dev": ['UD_Turkish-Penn/r2.17/tr_penn-ud-dev.conllu'],
                "test": ['UD_Turkish-Penn/r2.17/tr_penn-ud-test.conllu'],
        },
        "tr_pud": {
                "test": ['UD_Turkish-PUD/r2.17/tr_pud-ud-test.conllu'],
        },
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                "train": ['UD_Turkish-Tourism/r2.17/tr_tourism-ud-train.conllu'],
                "dev": ['UD_Turkish-Tourism/r2.17/tr_tourism-ud-dev.conllu'],
                "test": ['UD_Turkish-Tourism/r2.17/tr_tourism-ud-test.conllu'],
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                "train": ['UD_Turkish_German-SAGT/r2.17/qtd_sagt-ud-train.conllu'],
                "dev": ['UD_Turkish_German-SAGT/r2.17/qtd_sagt-ud-dev.conllu'],
                "test": ['UD_Turkish_German-SAGT/r2.17/qtd_sagt-ud-test.conllu'],
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                "train": ['UD_Ukrainian-IU/r2.17/uk_iu-ud-train.conllu'],
                "dev": ['UD_Ukrainian-IU/r2.17/uk_iu-ud-dev.conllu'],
                "test": ['UD_Ukrainian-IU/r2.17/uk_iu-ud-test.conllu'],
        },
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                "test": ['UD_Upper_Sorbian-UFAL/r2.17/hsb_ufal-ud-test.conllu'],
        },
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                "train": ['UD_Urdu-UDTB/r2.17/ur_udtb-ud-train.conllu'],
                "dev": ['UD_Urdu-UDTB/r2.17/ur_udtb-ud-dev.conllu'],
                "test": ['UD_Urdu-UDTB/r2.17/ur_udtb-ud-test.conllu'],
        },
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                "train": ['UD_Uyghur-UDT/r2.17/ug_udt-ud-train.conllu'],
                "dev": ['UD_Uyghur-UDT/r2.17/ug_udt-ud-dev.conllu'],
                "test": ['UD_Uyghur-UDT/r2.17/ug_udt-ud-test.conllu'],
        },
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                "train": ['UD_Vietnamese-VTB/r2.17/vi_vtb-ud-train.conllu'],
                "dev": ['UD_Vietnamese-VTB/r2.17/vi_vtb-ud-dev.conllu'],
                "test": ['UD_Vietnamese-VTB/r2.17/vi_vtb-ud-test.conllu'],
        },
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                "test": ['UD_Warlpiri-UFAL/r2.17/wbp_ufal-ud-test.conllu'],
        },
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                "train": ['UD_Welsh-CCG/r2.17/cy_ccg-ud-train.conllu'],
                "dev": ['UD_Welsh-CCG/r2.17/cy_ccg-ud-dev.conllu'],
                "test": ['UD_Welsh-CCG/r2.17/cy_ccg-ud-test.conllu'],
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                "train": ['UD_Western_Armenian-ArmTDP/r2.17/hyw_armtdp-ud-train.conllu'],
                "dev": ['UD_Western_Armenian-ArmTDP/r2.17/hyw_armtdp-ud-dev.conllu'],
                "test": ['UD_Western_Armenian-ArmTDP/r2.17/hyw_armtdp-ud-test.conllu'],
        },
        "nhi_itml": {
                "test": ['UD_Western_Sierra_Puebla_Nahuatl-ITML/r2.17/nhi_itml-ud-test.conllu'],
        },
        "wo_wtb": {
                "train": ['UD_Wolof-WTB/r2.17/wo_wtb-ud-train.conllu'],
                "dev": ['UD_Wolof-WTB/r2.17/wo_wtb-ud-dev.conllu'],
                "test": ['UD_Wolof-WTB/r2.17/wo_wtb-ud-test.conllu'],
        },
        "sjo_xdt": {
                "test": ['UD_Xibe-XDT/r2.17/sjo_xdt-ud-test.conllu'],
        },
        "sah_yktdt": {
                "test": ['UD_Yakut-YKTDT/r2.17/sah_yktdt-ud-test.conllu'],
        },
        "yo_ytb": {
                "test": ['UD_Yoruba-YTB/r2.17/yo_ytb-ud-test.conllu'],
        },
        "ess_sli": {
                "test": ['UD_Yupik-SLI/r2.17/ess_sli-ud-test.conllu'],
        },
}


@dataclass
class UniversalDependenciesConfig(datasets.BuilderConfig):
    """BuilderConfig for Universal Dependencies"""

    def __init__(self, name: str, **kwargs):
        super().__init__(name, version=datasets.Version("2.17.0"), **kwargs)


class UniversalDependencies(datasets.GeneratorBasedBuilder):
    """Universal Dependencies Datasets"""

    BUILDER_CONFIGS = [
        UniversalDependenciesConfig(
            name=name,
        )
        for name in _NAMES
    ]
    BUILDER_CONFIG_CLASS = UniversalDependenciesConfig

    def _info(self):
        return datasets.DatasetInfo(
            homepage=f"https://github.com/UniversalDependencies/" + _UD_DATASETS[self.config.name]["test"][0].split("/")[0],
            description=_DESCRIPTIONS[self.config.name],
            citation=None,  # would need to be the dataset specific citation
            license=_LICENSES[self.config.name],
            features=datasets.Features(
                {
                    "idx": datasets.Value("string"),
                    "text": datasets.Value("string"),
                    "tokens": datasets.Sequence(datasets.Value("string")),
                    "lemmas": datasets.Sequence(datasets.Value("string")),
                    "upos": datasets.Sequence(
                        datasets.features.ClassLabel(
                            names=[
                                "NOUN",
                                "PUNCT",
                                "ADP",
                                "NUM",
                                "SYM",
                                "SCONJ",
                                "ADJ",
                                "PART",
                                "DET",
                                "CCONJ",
                                "PROPN",
                                "PRON",
                                "X",
                                "_",
                                "ADV",
                                "INTJ",
                                "VERB",
                                "AUX",
                            ]
                        )
                    ),
                    "xpos": datasets.Sequence(datasets.Value("string")),
                    "feats": datasets.Sequence(datasets.Value("string")),
                    "head": datasets.Sequence(datasets.Value("string")),
                    "deprel": datasets.Sequence(datasets.Value("string")),
                    "deps": datasets.Sequence(datasets.Value("string")),
                    "misc": datasets.Sequence(datasets.Value("string")),
                }
            ),
            supervised_keys=None,
        )

    def _split_generators(self, dl_manager):
        """Returns SplitGenerators."""
        urls_to_download = {}
        for split, address in _UD_DATASETS[self.config.name].items():
            urls_to_download[split] = []
            if isinstance(address, list):
                for add in address:
                    urls_to_download[split].append(_PREFIX + add)
            else:
                urls_to_download[split].append(_PREFIX + address)

        downloaded_files = dl_manager.download_and_extract(urls_to_download)
        splits = []

        if "train" in downloaded_files:
            splits.append(
                datasets.SplitGenerator(
                    name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train"]})
            )

        if "dev" in downloaded_files:
            splits.append(
                datasets.SplitGenerator(
                    name=datasets.Split("dev"), gen_kwargs={"filepath": downloaded_files["dev"]}
                )
            )

        if "test" in downloaded_files:
            splits.append(
                datasets.SplitGenerator(
                    name=datasets.Split.TEST, gen_kwargs={"filepath": downloaded_files["test"]})
            )

        return splits

    def _generate_examples(self, filepath):
        id = 0
        for path in filepath:
            with open(path, "r", encoding="utf-8") as data_file:
                tokenlist = list(conllu.parse_incr(data_file))
                for sent in tokenlist:
                    if "sent_id" in sent.metadata:
                        idx = sent.metadata["sent_id"]
                    else:
                        idx = id

                    tokens = [token["form"] for token in sent]

                    if "text" in sent.metadata:
                        txt = sent.metadata["text"]
                    else:
                        txt = " ".join(tokens)

                    yield id, {
                        "idx": str(idx),
                        "text": txt,
                        "tokens": [token["form"] for token in sent],
                        "lemmas": [token["lemma"] for token in sent],
                        "upos": [token["upos"] for token in sent],
                        "xpos": [token["xpos"] for token in sent],
                        "feats": [str(token["feats"]) for token in sent],
                        "head": [str(token["head"]) for token in sent],
                        "deprel": [str(token["deprel"]) for token in sent],
                        "deps": [str(token["deps"]) for token in sent],
                        "misc": [str(token["misc"]) for token in sent],
                    }
                    id += 1