This is a collection of multilingual silver-standard datasets and models for the task of Grammatical Error Correction (GEC).
AI & ML interests
NLP
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models
23
lang-uk/OmniGEC-Fluency-12B
Text Generation
•
12B
•
Updated
•
5
•
2
lang-uk/OmniGEC-Fluency-8B
Text Generation
•
8B
•
Updated
•
13
•
2
lang-uk/OmniGEC-Minimal-8B
Text Generation
•
8B
•
Updated
•
24
•
3
lang-uk/OmniGEC-Minimal-12B
Text Generation
•
12B
•
Updated
•
11
•
1
lang-uk/roberta-large-ner-uk
Token Classification
•
Updated
•
1
lang-uk/flair-uk-pos
Token Classification
•
Updated
•
58
•
1
lang-uk/flair-uk-ner
Token Classification
•
Updated
•
21
•
3
lang-uk/electra-base-ukrainian-cased-discriminator
0.1B
•
Updated
•
6
•
3
lang-uk/dragoman
Text Generation
•
Updated
•
94
•
12
lang-uk/dragoman-4bit
Text Generation
•
1B
•
Updated
•
1
datasets
18
lang-uk/UberText-GEC
Preview
•
Updated
•
17
•
1
lang-uk/Reddit-MultiGEC
Preview
•
Updated
•
27
•
2
lang-uk/WikiEdits-MultiGEC
Viewer
•
Updated
•
59.6k
•
53
•
4
lang-uk/UACuisine
Viewer
•
Updated
•
140
•
31
•
1
lang-uk/MMZNO
Viewer
•
Updated
•
4.31k
•
41
•
1
lang-uk/FiftyFiveShades
Viewer
•
Updated
•
53.5M
•
28
•
1
lang-uk/court-decisions-uk
Preview
•
Updated
•
15
•
2
lang-uk/UberText-NER-Silver
Viewer
•
Updated
•
48M
•
41
•
3
lang-uk/malyuk
Viewer
•
Updated
•
38.9M
•
261
•
10
lang-uk/multi30k-extended-17k
Viewer
•
Updated
•
17.4k
•
12
•
1