tools/universal_dependencies-2.10

### THIS IS A GENERATED FILE.

from dataclasses import dataclass

import conllu

import datasets


_CITATION = r"""\
@misc{11234/1-4758,
   title = {Universal Dependencies 2.10},
   author = {Zeman, Daniel and Nivre, Joakim and Abrams, Mitchell and Ackermann, Elia 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 Aleksandravi{\v c}i{\=u}t{\.e}, Gabriel{\.e} and Alfina, Ika and Algom, Avner and Andersen, Erik and Antonsen, Lene 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 Arutie, Gashaw and Arwidarasti, Jessica Naraiswari and Asahara, Masayuki 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 Badmaeva, Elena and Balasubramani, Keerthana and Ballesteros, Miguel and Banerjee, Esha and Bank, Sebastian and Barbu Mititelu, Verginica and Barkarson, Starkaður and Basile, Rodolfo and Basmov, Victoria and Batchelor, Colin and Bauer, John and Bedir, Seyyit Talha and Bengoetxea, Kepa and Ben Moshe, Yifat and Berk, G{\"o}zde and Berzak, Yevgeni and Bhat, Irshad Ahmad and Bhat, Riyaz Ahmad and Biagetti, Erica and Bick, Eckhard and Bielinskien{\.e}, Agn{\.e} and Bjarnad{\'o}ttir, Krist{\'{\i}}n and Blokland, Rogier and Bobicev, Victoria and Boizou, Lo{\"{\i}}c and Borges V{\"o}lker, Emanuel and B{\"o}rstell, Carl and Bosco, Cristina and Bouma, Gosse and Bowman, Sam and Boyd, Adriane and Braggaar, Anouck and Brokait{\.e}, Kristina and Burchardt, Aljoscha and Candito, Marie and Caron, Bernard and Caron, Gauthier and Cassidy, Lauren 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 {\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 Chauhan, Shweta and Chi, Ethan and Chika, Taishi and Cho, Yongseok and Choi, Jinho and Chun, Jayeol and Chung, Juyeon and Cignarella, Alessandra T. and Cinkov{\'a}, Silvie and Collomb, Aur{\'e}lie and {\c C}{\"o}ltekin, {\c C}a{\u g}r{\i} and Connor, Miriam and Corbetta, Daniela and Courtin, Marine and Cristescu, Mihaela and Daniel, Philemon and Davidson, Elizabeth and Dehouck, Mathieu and de Laurentiis, Martina and de Marneffe, Marie-Catherine and de Paiva, Valeria and Derin, Mehmet Oguz and de Souza, Elvis and Diaz de Ilarraza, Arantza and Dickerson, Carly and Dinakaramani, Arawinda and Di Nuovo, Elisa and Dione, Bamba and Dirix, Peter and Dobrovoljc, Kaja and Dozat, Timothy and Droganova, Kira and Dwivedi, Puneet and Eckhoff, Hanne and Eiche, Sandra and Eli, Marhaba and Elkahky, Ali and Ephrem, Binyam and Erina, Olga and Erjavec, Toma{\v z} and Etienne, Aline and Evelyn, Wograine and Facundes, Sidney and Farkas, Rich{\'a}rd and Favero, Federica and Ferdaousi, Jannatul and Fernanda, Mar{\'{\i}}lia and Fernandez Alcalde, Hector and Foster, Jennifer and Freitas, Cl{\'a}udia and Fujita, Kazunori and Gajdo{\v s}ov{\'a}, Katar{\'{\i}}na and Galbraith, Daniel and Gamba, Federica and Garcia, Marcos and G{\"a}rdenfors, Moa and Garza, Sebastian and Gerardi, Fabr{\'{\i}}cio Ferraz and Gerdes, Kim and Ginter, Filip and Godoy, Gustavo and Goenaga, Iakes and Gojenola, Koldo and G{\"o}k{\i}rmak, Memduh and Goldberg, Yoav and G{\'o}mez Guinovart, Xavier and Gonz{\'a}lez Saavedra, Berta and Grici{\=u}t{\.e}, Bernadeta and Grioni, Matias and Grobol, Lo{\"{\i}}c and Gr{\=u}z{\={\i}}tis, Normunds and Guillaume, Bruno and Guillot-Barbance, C{\'e}line and G{\"u}ng{\"o}r, Tunga and Habash, Nizar and Hafsteinsson, Hinrik and Haji{\v c}, Jan and Haji{\v c} jr., Jan 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 Haug, Dag 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 Hohle, Petter and Hwang, Jena and Ikeda, Takumi and Ingason, Anton Karl and Ion, Radu and Irimia, Elena and Ishola, {\d O}l{\'a}j{\'{\i}}d{\'e} and Ito, Kaoru and Jannat, Siratun and Jel{\'{\i}}nek, Tom{\'a}{\v s} and Jha, Apoorva and Johannsen, Anders and J{\'o}nsd{\'o}ttir, Hildur and J{\o}rgensen, Fredrik and Juutinen, Markus and K, Sarveswaran and Ka{\c s}{\i}kara, H{\"u}ner and Kaasen, Andre and Kabaeva, Nadezhda and Kahane, Sylvain and Kanayama, Hiroshi and Kanerva, Jenna and Kara, Neslihan and Karah{\'o}ǧa, Ritv{\'a}n and Katz, Boris and Kayadelen, Tolga and Kenney, Jessica and Kettnerov{\'a}, V{\'a}clava and Kirchner, Jesse and Klementieva, Elena and Klyachko, Elena and K{\"o}hn, Arne and K{\"o}ksal, Abdullatif and Kopacewicz, Kamil and Korkiakangas, Timo and K{\"o}se, Mehmet and Kotsyba, Natalia and Kovalevskait{\.e}, Jolanta and Krek, Simon and Krishnamurthy, Parameswari and K{\"u}bler, Sandra and Kuyruk{\c c}u, O{\u g}uzhan and Kuzgun, Asl{\i} and Kwak, Sookyoung and Laippala, Veronika and Lam, Lucia and Lambertino, Lorenzo and Lando, Tatiana and Larasati, Septina Dian and Lavrentiev, Alexei and Lee, John and L{\^e} H{\`{\^o}}ng, Phương and Lenci, Alessandro and Lertpradit, Saran and Leung, Herman and Levina, Maria and Li, Cheuk Ying and Li, Josie and Li, Keying and Li, Yuan and Lim, {KyungTae} and Lima Padovani, Bruna and Lind{\'e}n, Krister and Ljube{\v s}i{\'c}, Nikola and Loginova, Olga and Lusito, Stefano and Luthfi, Andry and Luukko, Mikko and Lyashevskaya, Olga and Lynn, Teresa and Macketanz, Vivien and Mahamdi, Menel and Maillard, Jean and Makazhanov, Aibek 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 Ma{\v s}ek, Jan and Matsuda, Hiroshi and Matsumoto, Yuji and Mazzei, Alessandro and {McDonald}, Ryan and {McGuinness}, Sarah and Mendon{\c c}a, Gustavo and Merzhevich, Tatiana and Miekka, Niko and Mischenkova, Karina and Misirpashayeva, Margarita and Missil{\"a}, Anna and Mititelu, C{\u a}t{\u a}lin and Mitrofan, Maria and Miyao, Yusuke 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, Keiko Sophie and Mori, Shinsuke and Morioka, Tomohiko and Moro, Shigeki and Mortensen, Bjartur and Moskalevskyi, Bohdan and Muischnek, Kadri and Munro, Robert and Murawaki, Yugo and M{\"u}{\"u}risep, Kaili and Nainwani, Pinkey and Nakhl{\'e}, Mariam 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 Nourian, Alireza and Nurmi, Hanna and Ojala, Stina and Ojha, Atul Kr. 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 {\O}vrelid, Lilja 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 Palmero Aprosio, Alessio and Park, Hyunji Hayley and Partanen, Niko and Pascual, Elena and Passarotti, Marco and Patejuk, Agnieszka and Paulino-Passos, Guilherme and Pedonese, Giulia and Peljak-{\L}api{\'n}ska, Angelika and Peng, Siyao and Perez, Cenel-Augusto and Perkova, Natalia and Perrier, Guy and Petrov, Slav and Petrova, Daria and Peverelli, Andrea and Phelan, Jason and Piitulainen, Jussi and Pirinen, Tommi A and Pitler, Emily and Plank, Barbara and Poibeau, Thierry and Ponomareva, Larisa and Popel, Martin and Pretkalni{\c n}a, Lauma and Pr{\'e}vost, Sophie and Prokopidis, Prokopis and Przepi{\'o}rkowski, Adam and Puolakainen, Tiina and Pyysalo, Sampo and Qi, Peng and R{\"a}{\"a}bis, Andriela and Rademaker, Alexandre and Rahoman, Mizanur and Rama, Taraka and Ramasamy, Loganathan and Ramisch, Carlos 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 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 Romanenko, Mykhailo and Rosa, Rudolf and Roșca, Valentin and Rovati, Davide and Rozonoyer, Ben and Rudina, Olga and Rueter, Jack and R{\'u}narsson, Kristj{\'a}n and Sadde, Shoval and Safari, Pegah and Sagot, Beno{\^{\i}}t and Sahala, Aleksi and Saleh, Shadi and Salomoni, Alessio and Samard{\v z}i{\'c}, Tanja and Samson, Stephanie and Sanguinetti, Manuela and San{\i}yar, Ezgi and S{\"a}rg, Dage and Saul{\={\i}}te, Baiba and Sawanakunanon, Yanin and Saxena, Shefali and Scannell, Kevin and Scarlata, Salvatore and Schneider, Nathan and Schuster, Sebastian and Schwartz, Lane and Seddah, Djam{\'e} and Seeker, Wolfgang and Seraji, Mojgan and Shahzadi, Syeda and Shen, Mo and Shimada, Atsuko and Shirasu, Hiroyuki and Shishkina, Yana and Shohibussirri, Muh and Sichinava, Dmitry and Siewert, Janine and Sigurðsson, Einar Freyr and Silveira, Aline and Silveira, Natalia and Simi, Maria and Simionescu, Radu and Simk{\'o}, Katalin and {\v S}imkov{\'a}, M{\'a}ria and Simov, Kiril and Skachedubova, Maria and Smith, Aaron and Soares-Bastos, Isabela and Sourov, Shafi and Spadine, Carolyn and Sprugnoli, Rachele and Stamou, Vivian and Steingr{\'{\i}}msson, Stein{\t h}{\'o}r and Stella, Antonio and Straka, Milan and Strickland, Emmett and Strnadov{\'a}, Jana and Suhr, Alane and Sulestio, Yogi Lesmana and Sulubacak, Umut and Suzuki, Shingo and Swanson, Daniel and Sz{\'a}nt{\'o}, Zsolt and Taguchi, Chihiro and Taji, Dima and Takahashi, Yuta and Tamburini, Fabio and Tan, Mary Ann C. and Tanaka, Takaaki and Tanaya, Dipta and Tavoni, Mirko and Tella, Samson and Tellier, Isabelle and Testori, Marinella and Thomas, Guillaume and Tonelli, Sara and Torga, Liisi and Toska, Marsida and Trosterud, Trond and Trukhina, Anna and Tsarfaty, Reut and T{\"u}rk, Utku and Tyers, Francis 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 van der Goot, Rob and Vanhove, Martine and van Niekerk, Daniel and van Noord, Gertjan and Varga, Viktor and Vedenina, Uliana and Villemonte de la Clergerie, Eric and Vincze, Veronika and Vlasova, Natalia and Wakasa, Aya and Wallenberg, Joel C. and Wallin, Lars and Walsh, Abigail and Wang, Jing Xian and Washington, Jonathan North and Wendt, Maximilan and Widmer, Paul and Wigderson, Shira and Wijono, Sri Hartati and Williams, Seyi and Wir{\'e}n, Mats and Wittern, Christian and Woldemariam, Tsegay and Wong, Tak-sum and Wr{\'o}blewska, Alina and Yako, Mary and Yamashita, Kayo and Yamazaki, Naoki and Yan, Chunxiao and Yasuoka, Koichi and Yavrumyan, Marat M. and Yenice, Arife Bet{\"u}l 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 Zhou, He and Zhu, Hanzhi and Zhuravleva, Anna and Ziane, Rayan},
   url = {http://hdl.handle.net/11234/1-4758},
   note = {{LINDAT}/{CLARIAH}-{CZ} digital library at the Institute of Formal and Applied Linguistics ({{\'U}FAL})},
   copyright = {Licence Universal Dependencies v2.10},
   year = {2022}
}
"""  # 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 = [
    "af_afribooms",
    "akk_pisandub",
    "aqz_tudet",
    "sq_tsa",
    "gsw_uzh",
    "am_att",
    "grc_perseus",
    "grc_proiel",
    "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",
    "ca_ancora",
    "ceb_gja",
    "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_esl",
    "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_ftb",
    "fr_gsd",
    "fr_parisstories",
    "fr_partut",
    "fr_pud",
    "fr_rhapsodie",
    "fr_sequoia",
    "qfn_fame",
    "gl_ctg",
    "gl_treegal",
    "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_modern",
    "ja_pud",
    "ja_pudluw",
    "jv_csui",
    "urb_tudet",
    "xnr_kdtb",
    "krl_kkpp",
    "arr_tudet",
    "kk_ktb",
    "kfm_aha",
    "quc_iu",
    "koi_uh",
    "kpv_ikdp",
    "kpv_lattice",
    "ko_gsd",
    "ko_kaist",
    "ko_pud",
    "la_ittb",
    "la_llct",
    "la_perseus",
    "la_proiel",
    "la_udante",
    "lv_lvtb",
    "lij_glt",
    "lt_alksnis",
    "lt_hse",
    "olo_kkpp",
    "nds_lsdc",
    "jaa_jarawara",
    "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",
    "no_nynorsklia",
    "cu_proiel",
    "orv_rnc",
    "orv_torot",
    "fro_profiterole",
    "otk_clausal",
    "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",
    "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",
    "wo_wtb",
    "sjo_xdt",
    "sah_yktdt",
    "yo_ytb",
    "ess_sli",
]

_DESCRIPTIONS = {
    "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 and Fabrício Ferraz Gerardi.""",
    "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\_Swiss\_German-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.""",
    "hbo_ptnk": """UD Ancient Hebrew PTNK contains portions of the Biblia Hebraic Stuttgartensia with morphological annotations from [ETCBC](https://github.com/etcbc/bhsa).""",
    "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.""",
    "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.""",
    "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 1.0, created at 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-PDT UD treebank is based on the Prague Dependency Treebank 3.0 (PDT), 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_esl": """UD English-ESL / Treebank of Learner English (TLE) contains manual POS tag and dependency annotations for 5,124 English as a Second Language (ESL) sentences drawn from the Cambridge Learner Corpus First Certificate in English (FCE) dataset.""",
    "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://corpling.uis.georgetown.edu/gum/)""",
    "en_gumreddit": """Universal Dependencies syntax annotations from the Reddit portion of the GUM corpus (https://corpling.uis.georgetown.edu/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 5,863 trees, 72,778 tokens.""",
    "fo_farpahc": """UD_Icelandic-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_ftb": """The Universal Dependency version of the French Treebank (Abeillé et al., 2003), hereafter UD_French-FTB, is a treebank of sentences from the newspaper Le Monde, initially manually annotated with morphological information and phrase-structure and then converted to the Universal Dependencies annotation scheme.""",
    "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 Sequoia Treebank 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).""",
    "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 to the Icelandic Parsed Historical Corpus (IcePaHC) to the Universal Dependencies scheme.  The conversion was done using [UDConverter](https://github.com/thorunna/UDConverter).""",
    "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 866 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_modern": """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 `Corpus of Historical Japanese' (CHJ).""",
    "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 60 million users. The original sentences were taken from [OPUS](https://opus.nlpl.eu/), especially from the WikiMatrix v1 corpus. We revised the sentences that contained more Indonesian words than Javanese words and manually annotated them.""",
    "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.""",
    "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/).""",
    "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 18 Low Saxon dialects from both Germany and the Netherlands. These sentences are (or are to become) part of the LSDC dataset and represent the language from the 19th and early 20th century in genres such as short stories, novels, speeches, letters and fairytales.""",
    "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.""",
    "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.""",
    "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 UD Kurmanji corpus 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. NDT has been automatically converted to the UD scheme 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.""",
    "no_nynorsklia": """This Norwegian treebank is based on the LIA treebank of transcribed spoken Norwegian dialects. The treebank has been automatically converted to the UD scheme by Lilja Øvrelid at the University of Oslo.""",
    "cu_proiel": """The Old Church Slavonic (OCS) UD treebank is based on the Old Church Slavonic data from the PROIEL treebank and contains the text of the Codex Marianus New Testament translation.""",
    "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_torot": """UD\_Old\_East\_Slavic-TOROT is a conversion of a selection of the Old East Slavonic and Middle Russian data in the Tromsø Old Russian and OCS Treebank (TOROT), which was originally annotated in PROIEL dependency format.""",
    "fro_profiterole": """UD_Old_French-SRCMF is a conversion of (part of) the SRCMF corpus (Syntactic Reference Corpus of Medieval French [srcmf.org](http://srcmf.org/)).  Main development happens on the [GitLab of the Profiterole Project](https://gitlab.huma-num.fr/profiterole/srcmf-ud).""",
    "otk_clausal": """This repository contains an [Old Turkish](https://iso639-3.sil.org/code/otk) treebank built upon Old Turkic script texts.""",
    "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 based on the Polish Dependency Bank 2.0 (PDB 2.0), created at the Institute of Computer Science, Polish Academy of Sciences in Warsaw. The PDB-UD treebank is an extended and corrected version of the Polish SZ-UD treebank (the release 1.2 to 2.3).""",
    "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 in Warsaw.Re""",
    "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.""",
    "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 Slovenian UD Treebank is a rule-based conversion of the ssj500k treebank, the largest collection of manually syntactically annotated data in Slovenian, originally annotated in the JOS annotation scheme.""",
    "sl_sst": """The Spoken Slovenian UD Treebank (SST) is the first syntactically annotated corpus of spoken Slovenian, based on a sample of the reference GOS corpus, a collection of transcribed audio recordings of monologic, dialogic and multi-party spontaneous speech in different everyday situations.""",
    "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 Fabrício Ferraz Gerardi and Uliana Vedenina.""",
    "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.""",
    "tr_atis": """This treebank is a translation of English ATIS (Airline Travel Information System) corpus (see References). It consists of 5432 sentences.""",
    "tr_boun": """The largest Turkish dependency treebank annotated in UD style. Created by the members of [TABILAB](http://http://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 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.""",
    "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 developed for UD originally by the ArmTDP team led by Marat M. Yavrumyan at the Yerevan State University.""",
    "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 = {
        "af_afribooms": {
                "train": ['UD_Afrikaans-AfriBooms/r2.10/af_afribooms-ud-train.conllu'],
                "dev": ['UD_Afrikaans-AfriBooms/r2.10/af_afribooms-ud-dev.conllu'],
                "test": ['UD_Afrikaans-AfriBooms/r2.10/af_afribooms-ud-test.conllu'],
        },
        "akk_pisandub": {
                "test": ['UD_Akkadian-PISANDUB/r2.10/akk_pisandub-ud-test.conllu'],
        },
        "aqz_tudet": {
                "test": ['UD_Akuntsu-TuDeT/r2.10/aqz_tudet-ud-test.conllu'],
        },
        "sq_tsa": {
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                "test": ['UD_Low_Saxon-LSDC/r2.10/nds_lsdc-ud-test.conllu'],
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                "test": ['UD_Madi-Jarawara/r2.10/jaa_jarawara-ud-test.conllu'],
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                "test": ['UD_Makurap-TuDeT/r2.10/mpu_tudet-ud-test.conllu'],
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                "test": ['UD_Maltese-MUDT/r2.10/mt_mudt-ud-test.conllu'],
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                "test": ['UD_Manx-Cadhan/r2.10/gv_cadhan-ud-test.conllu'],
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                "test": ['UD_Mbya_Guarani-Dooley/r2.10/gun_dooley-ud-test.conllu'],
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                "test": ['UD_Mbya_Guarani-Thomas/r2.10/gun_thomas-ud-test.conllu'],
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                "test": ['UD_Munduruku-TuDeT/r2.10/myu_tudet-ud-test.conllu'],
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                "test": ['UD_Nayini-AHA/r2.10/nyq_aha-ud-test.conllu'],
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                "train": ['UD_Norwegian-NynorskLIA/r2.10/no_nynorsklia-ud-train.conllu'],
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                "train": ['UD_Old_East_Slavic-RNC/r2.10/orv_rnc-ud-train.conllu'],
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                "test": ['UD_Portuguese-PUD/r2.10/pt_pud-ud-test.conllu'],
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                "test": ['UD_Spanish-PUD/r2.10/es_pud-ud-test.conllu'],
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                "train": ['UD_Swedish-LinES/r2.10/sv_lines-ud-train.conllu'],
                "dev": ['UD_Swedish-LinES/r2.10/sv_lines-ud-dev.conllu'],
                "test": ['UD_Swedish-LinES/r2.10/sv_lines-ud-test.conllu'],
        },
        "sv_pud": {
                "test": ['UD_Swedish-PUD/r2.10/sv_pud-ud-test.conllu'],
        },
        "sv_talbanken": {
                "train": ['UD_Swedish-Talbanken/r2.10/sv_talbanken-ud-train.conllu'],
                "dev": ['UD_Swedish-Talbanken/r2.10/sv_talbanken-ud-dev.conllu'],
                "test": ['UD_Swedish-Talbanken/r2.10/sv_talbanken-ud-test.conllu'],
        },
        "swl_sslc": {
                "train": ['UD_Swedish_Sign_Language-SSLC/r2.10/swl_sslc-ud-train.conllu'],
                "dev": ['UD_Swedish_Sign_Language-SSLC/r2.10/swl_sslc-ud-dev.conllu'],
                "test": ['UD_Swedish_Sign_Language-SSLC/r2.10/swl_sslc-ud-test.conllu'],
        },
        "tl_trg": {
                "test": ['UD_Tagalog-TRG/r2.10/tl_trg-ud-test.conllu'],
        },
        "tl_ugnayan": {
                "test": ['UD_Tagalog-Ugnayan/r2.10/tl_ugnayan-ud-test.conllu'],
        },
        "ta_mwtt": {
                "test": ['UD_Tamil-MWTT/r2.10/ta_mwtt-ud-test.conllu'],
        },
        "ta_ttb": {
                "train": ['UD_Tamil-TTB/r2.10/ta_ttb-ud-train.conllu'],
                "dev": ['UD_Tamil-TTB/r2.10/ta_ttb-ud-dev.conllu'],
                "test": ['UD_Tamil-TTB/r2.10/ta_ttb-ud-test.conllu'],
        },
        "tt_nmctt": {
                "test": ['UD_Tatar-NMCTT/r2.10/tt_nmctt-ud-test.conllu'],
        },
        "eme_tudet": {
                "test": ['UD_Teko-TuDeT/r2.10/eme_tudet-ud-test.conllu'],
        },
        "te_mtg": {
                "train": ['UD_Telugu-MTG/r2.10/te_mtg-ud-train.conllu'],
                "dev": ['UD_Telugu-MTG/r2.10/te_mtg-ud-dev.conllu'],
                "test": ['UD_Telugu-MTG/r2.10/te_mtg-ud-test.conllu'],
        },
        "th_pud": {
                "test": ['UD_Thai-PUD/r2.10/th_pud-ud-test.conllu'],
        },
        "tpn_tudet": {
                "test": ['UD_Tupinamba-TuDeT/r2.10/tpn_tudet-ud-test.conllu'],
        },
        "tr_atis": {
                "train": ['UD_Turkish-Atis/r2.10/tr_atis-ud-train.conllu'],
                "dev": ['UD_Turkish-Atis/r2.10/tr_atis-ud-dev.conllu'],
                "test": ['UD_Turkish-Atis/r2.10/tr_atis-ud-test.conllu'],
        },
        "tr_boun": {
                "train": ['UD_Turkish-BOUN/r2.10/tr_boun-ud-train.conllu'],
                "dev": ['UD_Turkish-BOUN/r2.10/tr_boun-ud-dev.conllu'],
                "test": ['UD_Turkish-BOUN/r2.10/tr_boun-ud-test.conllu'],
        },
        "tr_framenet": {
                "train": ['UD_Turkish-FrameNet/r2.10/tr_framenet-ud-train.conllu'],
                "dev": ['UD_Turkish-FrameNet/r2.10/tr_framenet-ud-dev.conllu'],
                "test": ['UD_Turkish-FrameNet/r2.10/tr_framenet-ud-test.conllu'],
        },
        "tr_gb": {
                "test": ['UD_Turkish-GB/r2.10/tr_gb-ud-test.conllu'],
        },
        "tr_imst": {
                "train": ['UD_Turkish-IMST/r2.10/tr_imst-ud-train.conllu'],
                "dev": ['UD_Turkish-IMST/r2.10/tr_imst-ud-dev.conllu'],
                "test": ['UD_Turkish-IMST/r2.10/tr_imst-ud-test.conllu'],
        },
        "tr_kenet": {
                "train": ['UD_Turkish-Kenet/r2.10/tr_kenet-ud-train.conllu'],
                "dev": ['UD_Turkish-Kenet/r2.10/tr_kenet-ud-dev.conllu'],
                "test": ['UD_Turkish-Kenet/r2.10/tr_kenet-ud-test.conllu'],
        },
        "tr_penn": {
                "train": ['UD_Turkish-Penn/r2.10/tr_penn-ud-train.conllu'],
                "dev": ['UD_Turkish-Penn/r2.10/tr_penn-ud-dev.conllu'],
                "test": ['UD_Turkish-Penn/r2.10/tr_penn-ud-test.conllu'],
        },
        "tr_pud": {
                "test": ['UD_Turkish-PUD/r2.10/tr_pud-ud-test.conllu'],
        },
        "tr_tourism": {
                "train": ['UD_Turkish-Tourism/r2.10/tr_tourism-ud-train.conllu'],
                "dev": ['UD_Turkish-Tourism/r2.10/tr_tourism-ud-dev.conllu'],
                "test": ['UD_Turkish-Tourism/r2.10/tr_tourism-ud-test.conllu'],
        },
        "qtd_sagt": {
                "train": ['UD_Turkish_German-SAGT/r2.10/qtd_sagt-ud-train.conllu'],
                "dev": ['UD_Turkish_German-SAGT/r2.10/qtd_sagt-ud-dev.conllu'],
                "test": ['UD_Turkish_German-SAGT/r2.10/qtd_sagt-ud-test.conllu'],
        },
        "uk_iu": {
                "train": ['UD_Ukrainian-IU/r2.10/uk_iu-ud-train.conllu'],
                "dev": ['UD_Ukrainian-IU/r2.10/uk_iu-ud-dev.conllu'],
                "test": ['UD_Ukrainian-IU/r2.10/uk_iu-ud-test.conllu'],
        },
        "hsb_ufal": {
                "train": ['UD_Upper_Sorbian-UFAL/r2.10/hsb_ufal-ud-train.conllu'],
                "test": ['UD_Upper_Sorbian-UFAL/r2.10/hsb_ufal-ud-test.conllu'],
        },
        "ur_udtb": {
                "train": ['UD_Urdu-UDTB/r2.10/ur_udtb-ud-train.conllu'],
                "dev": ['UD_Urdu-UDTB/r2.10/ur_udtb-ud-dev.conllu'],
                "test": ['UD_Urdu-UDTB/r2.10/ur_udtb-ud-test.conllu'],
        },
        "ug_udt": {
                "train": ['UD_Uyghur-UDT/r2.10/ug_udt-ud-train.conllu'],
                "dev": ['UD_Uyghur-UDT/r2.10/ug_udt-ud-dev.conllu'],
                "test": ['UD_Uyghur-UDT/r2.10/ug_udt-ud-test.conllu'],
        },
        "vi_vtb": {
                "train": ['UD_Vietnamese-VTB/r2.10/vi_vtb-ud-train.conllu'],
                "dev": ['UD_Vietnamese-VTB/r2.10/vi_vtb-ud-dev.conllu'],
                "test": ['UD_Vietnamese-VTB/r2.10/vi_vtb-ud-test.conllu'],
        },
        "wbp_ufal": {
                "test": ['UD_Warlpiri-UFAL/r2.10/wbp_ufal-ud-test.conllu'],
        },
        "cy_ccg": {
                "train": ['UD_Welsh-CCG/r2.10/cy_ccg-ud-train.conllu'],
                "dev": ['UD_Welsh-CCG/r2.10/cy_ccg-ud-dev.conllu'],
                "test": ['UD_Welsh-CCG/r2.10/cy_ccg-ud-test.conllu'],
        },
        "hyw_armtdp": {
                "train": ['UD_Western_Armenian-ArmTDP/r2.10/hyw_armtdp-ud-train.conllu'],
                "dev": ['UD_Western_Armenian-ArmTDP/r2.10/hyw_armtdp-ud-dev.conllu'],
                "test": ['UD_Western_Armenian-ArmTDP/r2.10/hyw_armtdp-ud-test.conllu'],
        },
        "wo_wtb": {
                "train": ['UD_Wolof-WTB/r2.10/wo_wtb-ud-train.conllu'],
                "dev": ['UD_Wolof-WTB/r2.10/wo_wtb-ud-dev.conllu'],
                "test": ['UD_Wolof-WTB/r2.10/wo_wtb-ud-test.conllu'],
        },
        "sjo_xdt": {
                "test": ['UD_Xibe-XDT/r2.10/sjo_xdt-ud-test.conllu'],
        },
        "sah_yktdt": {
                "test": ['UD_Yakut-YKTDT/r2.10/sah_yktdt-ud-test.conllu'],
        },
        "yo_ytb": {
                "test": ['UD_Yoruba-YTB/r2.10/yo_ytb-ud-test.conllu'],
        },
        "ess_sli": {
                "test": ['UD_Yupik-SLI/r2.10/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("2.10.0"), **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