Google's Conceptual Captions Dataset translated into Korean
See the codeREADME
Korean Conceptual Captions Dataset
Introduction
Google's Conceptual Captions Dataset translated into Korean.
| Original Dataset | Machine Translated Dataset | Gold-label Translation Dataset |
|---|---|---|
| CC3M | KoCC3M | - |
| CC12M | KoCC12M | - |
| YFCC100M | - | - |
KoCC3M Dataset Example
| image_url | english_caption | korean_caption |
|---|---|---|
 | 3d digital render of a beautiful female ballet dancer isolated on white background | 흰색 바탕에 고립된 아름다운 여성 발레 무용수의 3d 디지털 렌더링입니다. |
 | a bougainvillea with pink flowers on a white background | 흰 바탕에 분홍색 꽃들이 그려진 보가인빌라다. |
 | person warms up during a game against american football team. | 아메리칸 축구팀과의 경기 중 사람이 몸을 풀고 있다. |
 | red telephone box in the small village | 작은 마을에 빨간 전화기가 걸려 있다. |
Goal
Creating machine translated caption of vision-image dataset to further create human supervised gold label translation captions.
References
- For specifics regarding for CC3M vision-image dataset, please refer to description provided by Google Research.
@inproceedings{sharma2018conceptual, title = {Conceptual Captions: A Cleaned, Hypernymed, Image Alt-text Dataset For Automatic Image Captioning}, author = {Sharma, Piyush and Ding, Nan and Goodman, Sebastian and Soricut, Radu}, booktitle = {Proceedings of ACL}, year = {2018}, } @article{ng2020understanding, title={Understanding Guided Image Captioning Performance across Domains}, author={Edwin G. Ng and Bo Pang and Piyush Sharma and Radu Soricut}, journal={arXiv preprint arXiv:2012.02339}, year={2020} } @inproceedings{changpinyo2021cc12m, title = {{Conceptual 12M}: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Concepts}, author = {Changpinyo, Soravit and Sharma, Piyush and Ding, Nan and Soricut, Radu}, booktitle = {CVPR}, year = {2021}, } - English to Korean Machine Translation with Finetuned Seq2Seq model of QuoQA-NLP/KE-T5-En2Ko-Base
cc12m
cc3m
multimodal
text-to-image
Similar repos
Google's Conceptual Captions Dataset translated into Korean
See the codeREADME
Korean Conceptual Captions Dataset
Introduction
Google's Conceptual Captions Dataset translated into Korean.
| Original Dataset | Machine Translated Dataset | Gold-label Translation Dataset |
|---|---|---|
| CC3M | KoCC3M | - |
| CC12M | KoCC12M | - |
| YFCC100M | - | - |
KoCC3M Dataset Example
| image_url | english_caption | korean_caption |
|---|---|---|
| 3d digital render of a beautiful female ballet dancer isolated on white background | 흰색 바탕에 고립된 아름다운 여성 발레 무용수의 3d 디지털 렌더링입니다. |
| a bougainvillea with pink flowers on a white background | 흰 바탕에 분홍색 꽃들이 그려진 보가인빌라다. |
| person warms up during a game against american football team. | 아메리칸 축구팀과의 경기 중 사람이 몸을 풀고 있다. |
| red telephone box in the small village | 작은 마을에 빨간 전화기가 걸려 있다. |
Goal
Creating machine translated caption of vision-image dataset to further create human supervised gold label translation captions.
References
- For specifics regarding for CC3M vision-image dataset, please refer to description provided by Google Research.
@inproceedings{sharma2018conceptual, title = {Conceptual Captions: A Cleaned, Hypernymed, Image Alt-text Dataset For Automatic Image Captioning}, author = {Sharma, Piyush and Ding, Nan and Goodman, Sebastian and Soricut, Radu}, booktitle = {Proceedings of ACL}, year = {2018}, } @article{ng2020understanding, title={Understanding Guided Image Captioning Performance across Domains}, author={Edwin G. Ng and Bo Pang and Piyush Sharma and Radu Soricut}, journal={arXiv preprint arXiv:2012.02339}, year={2020} } @inproceedings{changpinyo2021cc12m, title = {{Conceptual 12M}: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Concepts}, author = {Changpinyo, Soravit and Sharma, Piyush and Ding, Nan and Soricut, Radu}, booktitle = {CVPR}, year = {2021}, } - English to Korean Machine Translation with Finetuned Seq2Seq model of QuoQA-NLP/KE-T5-En2Ko-Base
cc12m
cc3m
multimodal
text-to-image