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---
language:
- vi
- en
license: cc-by-4.0
size_categories:
- 100k<n<1M
task_categories:
- image-to-text
- text-to-image
- translation
tags:
- vision
- image-captioning
- ms-coco
- coco
- vietnamese
- vietnam
- vi
- vn
homepage: https://aienthusiasm.vn
dataset_info:
features:
- name: image_id
dtype: string
- name: caption_id
dtype: string
- name: image
dtype: image
- name: caption_en
dtype: string
- name: caption_vi
dtype: string
splits:
- name: train
num_bytes: 95104738954.827
num_examples: 591753
- name: validation
num_bytes: 3666417387.754
num_examples: 25014
download_size: 67774085459
dataset_size: 98771156342.581
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
---
## Team and Homepage
This dataset is maintained by **AI Enthusiasm**. You can find more of our work, community projects, and official updates at our homepage:
- **Official Website**: [https://aienthusiasm.vn](https://aienthusiasm.vn)
- **Hugging Face Organization**: [https://huggingface.co/ai-enthusiasm-community](https://huggingface.co/ai-enthusiasm-community)
## Contact
If you encounter any issues with the dataset or have any inquiries, please feel free to reach out to us via email at: [aienthusiasm.team@gmail.com](mailto:aienthusiasm.team@gmail.com)
## Dataset Summary
COCO-2017-Vietnamese is a localized version of the Microsoft Common Objects in Context (COCO) 2017 dataset, a large-scale object detection, segmentation, and captioning dataset. This version is specifically curated for Vietnamese cross-modal research, featuring the original English captions paired with high-quality Vietnamese translations. It serves as a comprehensive benchmark for tasks such as Image Captioning and Multimodal Learning within a bilingual framework.
## Dataset Structure
The dataset is provided in a flattened tabular format, optimized for the Hugging Face Dataset Viewer and high-speed Parquet processing.
### Data Instances
Each instance represents a single image-caption pair. To maintain compatibility with standard training pipelines, image data is repeated for each associated caption.
### Data Fields
- `image_id`: The ID of the image from the original COCO dataset.
- `caption_id`: The unique ID for each specific annotation (caption).
- `image`: An Image object containing the visual data.
- `caption_en`: The original descriptive text in English.
- `caption_vi`: The translated descriptive text in Vietnamese.
## Usage
The dataset can be accessed directly using the Hugging Face `datasets` library:
```python
from datasets import load_dataset
dataset = load_dataset("ai-enthusiasm-community/coco-2017-vietnamese")
# Accessing the first sample from the training set
print(dataset['train'][0])
```
## Citation
```
@inproceedings{lin2014microsoft,
title={Microsoft coco: Common objects in context},
author={Lin, Tsung-Yi and Maire, Michael and Belongie, Serge and Hays, James and Perona, Pietro and Ramanan, Deva and Doll{'a}r, Piotr and Zitnick, C Lawrence},
booktitle={Computer Vision--ECCV 2014: 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part V 13},
pages={740--755},
year={2014},
organization={Springer}
}
``` |