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metadata
annotations_creators:
  - expert-generated
language_creators:
  - crowdsourced
languages:
  af_afribooms:
    - af
  akk_pisandub:
    - akk
  akk_riao:
    - akk
  aqz_tudet:
    - aqz
  sq_tsa:
    - sq
  am_att:
    - am
  grc_perseus:
    - grc
  grc_proiel:
    - grc
  apu_ufpa:
    - apu
  ar_nyuad:
    - ar
  ar_padt:
    - ar
  ar_pud:
    - ar
  hy_armtdp:
    - hy
  aii_as:
    - aii
  bm_crb:
    - bm
  eu_bdt:
    - eu
  be_hse:
    - be
  bho_bhtb:
    - bho
  br_keb:
    - br
  bg_btb:
    - bg
  bxr_bdt:
    - bxr
  yue_hk:
    - yue
  ca_ancora:
    - ca
  zh_cfl:
    - zh
  zh_gsd:
    - zh
  zh_gsdsimp:
    - zh
  zh_hk:
    - zh
  zh_pud:
    - zh
  ckt_hse:
    - ckt
  lzh_kyoto:
    - lzh
  cop_scriptorium:
    - cop
  hr_set:
    - hr
  cs_cac:
    - cs
  cs_cltt:
    - cs
  cs_fictree:
    - cs
  cs_pdt:
    - cs
  cs_pud:
    - cs
  da_ddt:
    - da
  nl_alpino:
    - nl
  nl_lassysmall:
    - nl
  en_esl:
    - en
  en_ewt:
    - en
  en_gum:
    - en
  en_gumreddit:
    - en
  en_lines:
    - en
  en_partut:
    - en
  en_pronouns:
    - en
  en_pud:
    - en
  myv_jr:
    - myv
  et_edt:
    - et
  et_ewt:
    - et
  fo_farpahc:
    - fo
  fo_oft:
    - fo
  fi_ftb:
    - fi
  fi_ood:
    - fi
  fi_pud:
    - fi
  fi_tdt:
    - fi
  fr_fqb:
    - fr
  fr_ftb:
    - fr
  fr_gsd:
    - fr
  fr_partut:
    - fr
  fr_pud:
    - fr
  fr_sequoia:
    - fr
  fr_spoken:
    - fr
  gl_ctg:
    - gl
  gl_treegal:
    - gl
  de_gsd:
    - de
  de_hdt:
    - de
  de_lit:
    - de
  de_pud:
    - de
  got_proiel:
    - got
  el_gdt:
    - el
  he_htb:
    - he
  qhe_hiencs:
    - qhe
  hi_hdtb:
    - hi
  hi_pud:
    - hi
  hu_szeged:
    - hu
  is_icepahc:
    - is
  is_pud:
    - is
  id_csui:
    - id
  id_gsd:
    - id
  id_pud:
    - id
  ga_idt:
    - ga
  it_isdt:
    - it
  it_partut:
    - it
  it_postwita:
    - it
  it_pud:
    - it
  it_twittiro:
    - it
  it_vit:
    - it
  ja_bccwj:
    - ja
  ja_gsd:
    - ja
  ja_modern:
    - ja
  ja_pud:
    - ja
  krl_kkpp:
    - krl
  kk_ktb:
    - kk
  kfm_aha:
    - kfm
  koi_uh:
    - koi
  kpv_ikdp:
    - kpv
  kpv_lattice:
    - kpv
  ko_gsd:
    - ko
  ko_kaist:
    - ko
  ko_pud:
    - ko
  kmr_mg:
    - kmr
  la_ittb:
    - la
  la_llct:
    - la
  la_perseus:
    - la
  la_proiel:
    - la
  lv_lvtb:
    - lv
  lt_alksnis:
    - lt
  lt_hse:
    - lt
  olo_kkpp:
    - olo
  mt_mudt:
    - mt
  gv_cadhan:
    - gv
  mr_ufal:
    - mr
  gun_dooley:
    - gun
  gun_thomas:
    - gun
  mdf_jr:
    - mdf
  myu_tudet:
    - myu
  pcm_nsc:
    - pcm
  nyq_aha:
    - nyq
  sme_giella:
    - sme
  no_bokmaal:
    - 'no'
  no_nynorsk:
    - 'no'
  no_nynorsklia:
    - 'no'
  cu_proiel:
    - cu
  fro_srcmf:
    - fro
  orv_rnc:
    - orv
  orv_torot:
    - orv
  otk_tonqq:
    - otk
  fa_perdt:
    - fa
  fa_seraji:
    - fa
  pl_lfg:
    - pl
  pl_pdb:
    - pl
  pl_pud:
    - pl
  pt_bosque:
    - pt
  pt_gsd:
    - pt
  pt_pud:
    - pt
  ro_nonstandard:
    - ro
  ro_rrt:
    - ro
  ro_simonero:
    - ro
  ru_gsd:
    - ru
  ru_pud:
    - ru
  ru_syntagrus:
    - ru
  ru_taiga:
    - ru
  sa_ufal:
    - sa
  sa_vedic:
    - sa
  gd_arcosg:
    - gd
  sr_set:
    - sr
  sms_giellagas:
    - sms
  sk_snk:
    - sk
  sl_ssj:
    - sl
  sl_sst:
    - sl
  soj_aha:
    - soj
  ajp_madar:
    - ajp
  es_ancora:
    - es
  es_gsd:
    - es
  es_pud:
    - es
  swl_sslc:
    - swl
  sv_lines:
    - sv
  sv_pud:
    - sv
  sv_talbanken:
    - sv
  gsw_uzh:
    - gsw
  tl_trg:
    - tl
  tl_ugnayan:
    - tl
  ta_mwtt:
    - ta
  ta_ttb:
    - ta
  te_mtg:
    - te
  th_pud:
    - th
  tpn_tudet:
    - tpn
  qtd_sagt:
    - qtd
  tr_boun:
    - tr
  tr_gb:
    - tr
  tr_imst:
    - tr
  tr_pud:
    - tr
  uk_iu:
    - uk
  hsb_ufal:
    - hsb
  ur_udtb:
    - ur
  ug_udt:
    - ug
  vi_vtb:
    - vi
  wbp_ufal:
    - wbp
  cy_ccg:
    - cy
  wo_wtb:
    - wo
  yo_ytb:
    - yo
licenses:
  - unknown
multilinguality:
  - multilingual
size_categories:
  - 1K<n<10K
source_datasets:
  - original
task_categories:
  - other
task_ids:
  - constituency-parsing
  - dependency-parsing

Dataset Card for Universal Dependencies Treebank

Table of Contents

Dataset Description

Dataset Summary

[More Information Needed]

Supported Tasks and Leaderboards

[More Information Needed]

Languages

[More Information Needed]

Dataset Structure

Data Instances

[More Information Needed]

Data Fields

[More Information Needed]

Data Splits

[More Information Needed]

Dataset Creation

Curation Rationale

[More Information Needed]

Source Data

Initial Data Collection and Normalization

[More Information Needed]

Who are the source language producers?

[More Information Needed]

Annotations

Annotation process

[More Information Needed]

Who are the annotators?

[More Information Needed]

Personal and Sensitive Information

[More Information Needed]

Considerations for Using the Data

Social Impact of Dataset

[More Information Needed]

Discussion of Biases

[More Information Needed]

Other Known Limitations

[More Information Needed]

Additional Information

Dataset Curators

[More Information Needed]

Licensing Information

[More Information Needed]

Citation Information

[More Information Needed]