| dataset_info: | |
| features: | |
| - name: image | |
| dtype: image | |
| - name: filepath | |
| dtype: string | |
| - name: sentids | |
| list: int32 | |
| - name: filename | |
| dtype: string | |
| - name: imgid | |
| dtype: int32 | |
| - name: split | |
| dtype: string | |
| - name: sentences_tokens | |
| list: | |
| list: string | |
| - name: sentences_raw | |
| list: string | |
| - name: sentences_sentid | |
| list: int32 | |
| - name: cocoid | |
| dtype: int32 | |
| - name: th_sentences_raw | |
| sequence: string | |
| splits: | |
| - name: test | |
| num_bytes: 819234726.0 | |
| num_examples: 5000 | |
| - name: validation | |
| num_bytes: 807387321.0 | |
| num_examples: 5000 | |
| - name: train | |
| num_bytes: 18882795327.165 | |
| num_examples: 113287 | |
| download_size: 20158273111 | |
| dataset_size: 20509417374.165 | |
| ## Dataset Construction | |
| The dataset contructed from translating the captions of [MS COCO 2014 dataset](https://huggingface.co/datasets/HuggingFaceM4/COCO) [2] to Thai by using [NMT](https://airesearch.in.th/releases/machine-translation-models/) provided by VISTEC-depa Thailand Artificial Intelligence Research Institute [3]. The translated of 3 splits (train, validation and test) dataset was published in the [Huggingface](https://huggingface.co/datasets/patomp/thai-mscoco-2014-captions). | |
| ## References | |
| [1] C. Polpanumas and W. Phatthiyaphaibun, thai2fit: Thai language Implementation of ULMFit. Zenodo, 2021. doi: 10.5281/zenodo.4429691. | |
| [2] Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C. Lawrence Zitnick. 2014. Microsoft COCO: Common Objects in Context. In Computer Vision – ECCV 2014, Springer International Publishing, Cham, 740–755. | |
| [3] English-Thai Machine Translation Models. (2020, June 23). VISTEC-depa Thailand Artificial Intelligence Research Institute. https://airesearch.in.th/releases/machine-translation-models/ |