ai-enthusiasm-community/CC3M-35L

Team and Homepage

• —Official Website: https://aienthusiasm.vn
• —Hugging Face Organization: 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

Dataset Structure

The dataset is provided in a flattened tabular format, optimized for the Hugging Face Dataset Viewer and high-speed Parquet processing.

Data Fields

• —image_uid: The identification string.
• —caption_uid: List of unique identifiers for each caption, following the format {image_uid}_{comment_number}.
• —image: A Image object containing the visual data.
• —caption_<lang>: The description in different languages.

Usage

The dataset can be accessed directly using the Hugging Face datasets library:

from datasets import load_dataset

dataset = load_dataset("ai-enthusiasm-community/CC3M-35L")

# Accessing the first sample
print(dataset['train'][0])

Citation

@misc{thapliyal2022crossmodal,
  title={Crossmodal-3600: A Massively Multilingual Multimodal Evaluation Dataset},
  author={Thapliyal, Ashish V. and Pont-Tuset, Jordi and Chen, Xi and Soricut, Radu},
  year={2022},
  eprint={2205.12522},
  archivePrefix={arXiv},
  primaryClass={cs.CV}
}