---
license: cc0-1.0
task_categories:
- text-to-image
pretty_name: DiffusionDB Captions
size_categories:
- 1M<n<10M
dataset_info:
  features:
  - name: description
    dtype: string
  splits:
  - name: train
    num_bytes: 50735678
    num_examples: 967163
  - name: validation
    num_bytes: 101940
    num_examples: 1948
  - name: test
    num_bytes: 256037
    num_examples: 4870
  download_size: 35930405
  dataset_size: 51093655
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: validation
    path: data/validation-*
  - split: test
    path: data/test-*
---
# DiffusionDB Captions

Captions corpora processed from DiffusionDB dataset, the goal is to create a dataset similar to [flickr30k](https://huggingface.co/datasets/sentence-transformers/flickr30k-captions) but much larger

Filtered from diffusionDB + diffusionDB_large, total 14M data, into ~1M
pre-processing includes:
- remove style prompts
- remove too long and specific prompts
- remove prompts with many specific names

## Citation

If you find this curated dataset helpful, feel free to give us a cite.

```
@misc{rodriguez2025renderingawarereinforcementlearningvector,
      title={Rendering-Aware Reinforcement Learning for Vector Graphics Generation}, 
      author={Juan A. Rodriguez and Haotian Zhang and Abhay Puri and Aarash Feizi and Rishav Pramanik and Pascal Wichmann and Arnab Mondal and Mohammad Reza Samsami and Rabiul Awal and Perouz Taslakian and Spandana Gella and Sai Rajeswar and David Vazquez and Christopher Pal and Marco Pedersoli},
      year={2025},
      eprint={2505.20793},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2505.20793}, 
}

```