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--- |
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language: |
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- vi |
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- en |
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license: cc-by-4.0 |
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size_categories: |
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- 100k<n<1M |
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task_categories: |
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- image-to-text |
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- text-to-image |
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- translation |
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tags: |
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- vision |
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- image-captioning |
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- ms-coco |
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- coco |
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- vietnamese |
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- vietnam |
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- vi |
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- vn |
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homepage: https://aienthusiasm.vn |
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dataset_info: |
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features: |
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- name: image_id |
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dtype: string |
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- name: caption_id |
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dtype: string |
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- name: image |
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dtype: image |
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- name: caption_en |
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dtype: string |
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- name: caption_vi |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 95104738954.827 |
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num_examples: 591753 |
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- name: validation |
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num_bytes: 3666417387.754 |
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num_examples: 25014 |
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download_size: 67774085459 |
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dataset_size: 98771156342.581 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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- split: validation |
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path: data/validation-* |
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--- |
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## Team and Homepage |
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This dataset is maintained by **AI Enthusiasm**. You can find more of our work, community projects, and official updates at our homepage: |
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- **Official Website**: [https://aienthusiasm.vn](https://aienthusiasm.vn) |
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- **Hugging Face Organization**: [https://huggingface.co/ai-enthusiasm-community](https://huggingface.co/ai-enthusiasm-community) |
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## Contact |
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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) |
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## Dataset Summary |
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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. |
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## Dataset Structure |
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The dataset is provided in a flattened tabular format, optimized for the Hugging Face Dataset Viewer and high-speed Parquet processing. |
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### Data Instances |
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Each instance represents a single image-caption pair. To maintain compatibility with standard training pipelines, image data is repeated for each associated caption. |
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### Data Fields |
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- `image_id`: The ID of the image from the original COCO dataset. |
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- `caption_id`: The unique ID for each specific annotation (caption). |
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- `image`: An Image object containing the visual data. |
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- `caption_en`: The original descriptive text in English. |
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- `caption_vi`: The translated descriptive text in Vietnamese. |
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## Usage |
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The dataset can be accessed directly using the Hugging Face `datasets` library: |
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```python |
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from datasets import load_dataset |
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dataset = load_dataset("ai-enthusiasm-community/coco-2017-vietnamese") |
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# Accessing the first sample from the training set |
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print(dataset['train'][0]) |
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``` |
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## Citation |
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``` |
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@inproceedings{lin2014microsoft, |
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title={Microsoft coco: Common objects in context}, |
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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}, |
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booktitle={Computer Vision--ECCV 2014: 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part V 13}, |
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pages={740--755}, |
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year={2014}, |
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organization={Springer} |
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} |
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``` |
