This is a collection of multilingual silver-standard datasets and models for the task of Grammatical Error Correction (GEC).
AI & ML interests
NLP
Recent Activity
models
23
lang-uk/OmniGEC-Fluency-12B
Text2Text Generation
•
12B
•
Updated
•
10
•
2
lang-uk/OmniGEC-Fluency-8B
Text2Text Generation
•
8B
•
Updated
•
13
•
2
lang-uk/OmniGEC-Minimal-8B
Text2Text Generation
•
8B
•
Updated
•
46
•
3
lang-uk/OmniGEC-Minimal-12B
Text2Text Generation
•
12B
•
Updated
•
19
•
1
lang-uk/roberta-large-ner-uk
Token Classification
•
Updated
•
1
lang-uk/flair-uk-pos
Token Classification
•
Updated
•
66
•
1
lang-uk/flair-uk-ner
Token Classification
•
Updated
•
50
•
3
lang-uk/electra-base-ukrainian-cased-discriminator
0.1B
•
Updated
•
38
•
3
lang-uk/dragoman
Text Generation
•
Updated
•
150
•
12
lang-uk/dragoman-4bit
Text Generation
•
1B
•
Updated
•
1
datasets
18
lang-uk/UACuisine
Viewer
•
Updated
•
140
•
1
lang-uk/MMZNO
Viewer
•
Updated
•
4.31k
•
1
lang-uk/WikiEdits-MultiGEC
Viewer
•
Updated
•
57.8k
•
80
•
4
lang-uk/FiftyFiveShades
Viewer
•
Updated
•
53.5M
•
33
lang-uk/court-decisions-uk
Preview
•
Updated
•
105
•
2
lang-uk/UberText-NER-Silver
Viewer
•
Updated
•
48M
•
55
•
2
lang-uk/UberText-GEC
Preview
•
Updated
•
21
•
1
lang-uk/Reddit-MultiGEC
Preview
•
Updated
•
28
•
2
lang-uk/malyuk
Viewer
•
Updated
•
38.9M
•
1.47k
•
9
lang-uk/multi30k-extended-17k
Viewer
•
Updated
•
17.4k
•
32
•
1