| --- |
| 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} |
| } |
| ``` |
