Datasets:

TIGER-Lab
/

ABC-Pretraining-Data

language:
  - en
license: mit
size_categories:
  - 1M<n<10M
task_categories:
  - visual-question-answering
  - image-text-to-text
pretty_name: ABC-Pretraining-Data
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
dataset_info:
  features:
    - name: caption
      dtype: string
    - name: url
      dtype: string
    - name: id
      dtype: int64
    - name: image
      dtype: string
    - name: negatives
      sequence: int64
  splits:
    - name: train
      num_bytes: 2289772991
      num_examples: 2252041
  download_size: 1855548818
  dataset_size: 2289772991
tags:
  - visual

ABC Pretraining Data

This the the pretraining data for ABC. This dataset is derived from Google's Conceptual Captions dataset. The each item in the dataset contain a URL where the corresponding image can be downloaded. Full dataaset is ~300 GB of images.

Paper and Website

For more information, please refer to Website.

Citation

@misc{schneider2025abcachievingbettercontrol,
      title={ABC: Achieving Better Control of Multimodal Embeddings using VLMs}, 
      author={Benjamin Schneider and Florian Kerschbaum and Wenhu Chen},
      year={2025},
      eprint={2503.00329},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2503.00329}, 
}