Hugging Face's logo

Datasets:
DavidPhilips
/
coco2017

Tasks:
Image-to-Text
Text-to-Image
Translation
Modalities:
Image
Text
Formats:
parquet
Languages:
Vietnamese
English
Size:
100K - 1M
Tags:
vision
image-captioning
ms-coco
coco
vietnamese
vietnam
Libraries:
Datasets
Dask
Polars
License:
Dataset card Data Studio Files
xet
Community
1
coco2017 / README.md
DavidPhilips's picture
DavidPhilips
Duplicate from ai-enthusiasm-community/coco-2017-vietnamese
22eb514 verified
preview code
|
raw
history blame contribute delete
3.3 kB
metadata 
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:

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

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:

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}
}