Omkar2118/datasets huggingface dataset:
Taiga Corpus
Full name: An open-source corpus for machine learning.

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	_

```

Introducing paper: To the methodology of corpus construction for machine learning:“Taiga” syntax tree corpus and parser