Taiga Corpus
An open-source corpus for machine learning.
Introduced in To the methodology of corpus construction for machine learning:“Taiga” syntax tree corpus and parser2017
About this Dataset
Taiga is a corpus, where text sources and their meta-information are collected according to popular ML tasks.
Each text in corpus is represented in plain text and with morphological and syntactic annotation (UDPipe, homonymy resolved automatically) + has metainformation - date, theme, authorship, text difficulcy…etc (depending on source)
By now, about 5 billions of words are 77% literary texts (33 literary magazines), 19% of naive poetry, 2% of news (4 popular sites) and 2% of other (popular science, culture mags, social networks, amateur poems and prose), with documentation available.
Segments Info
| Genres | Tokens, millions | % | |------------------|------------------|-----| | News | 92 | 1.5 | | Literary Texts | 4605 | 76 | | Special datasets | 2.5 | 0.5 | | Social media | 80 | 1.5 | | Subtitles | 101 | 1.5 | | Poems | 1130 | 19 |
**Annotation Example ** (CONLL-u):
# newdoc
# newpar
# sent_id = 1
# 2003Armeniya.xml 1
# text = В советский период времени число ИТ- специалистов в Армении составляло около десяти тысяч.
# sent_id = 1
1 В в ADP _ _ 3 case 3:case _
2 советский советский ADJ _ Animacy=Inan|Case=Acc|Degree=Pos|Gender=Masc|Number=Sing 3 amod 3:amod _
3 период период NOUN _ Animacy=Inan|Case=Acc|Gender=Masc|Number=Sing 11 obl 11:obl _
4 времени время NOUN _ Animacy=Inan|Case=Gen|Gender=Neut|Number=Sing 3 nmod 3:nmod _
5 число число NOUN _ Animacy=Inan|Case=Acc|Gender=Neut|Number=Sing 11 obj 11:obj _
6 ИТ ит PROPN _ Animacy=Inan|Case=Nom|Gender=Neut|Number=Sing 8 compound 8:compound SpaceAfter=No
7 - - PUNCT _ _ 6 punct 6:punct _
8 специалистов специалист NOUN _ Animacy=Anim|Case=Gen|Gender=Masc|Number=Plur 5 nmod 5:nmod _
9 в в ADP _ _ 10 case 10:case _
10 Армении армения PROPN _ Animacy=Inan|Case=Loc|Gender=Fem|Number=Sing 5 nmod 5:nmod _
11 составляло составлять VERB _ Aspect=Imp|Gender=Neut|Mood=Ind|Number=Sing|Tense=Past|VerbForm=Fin|Voice=Act 0 root 0:root _
12 около около ADP _ _ 14 case 14:case _
13 десяти десять NUM _ Case=Gen 14 nummod 14:nummod _
14 тысяч тысяча NOUN _ Animacy=Inan|Case=Gen|Gender=Fem|Number=Plur 11 nsubj 11:nsubj SpaceAfter=No
15 . . PUNCT _ _ 14 punct 14:punct _
