YFCC15M

YFCC15M Recaption Dataset

This YFCC15M Dataset is filtered by DeCLIP and recaptioned utilize the diverse description generation framework proposed in RWKV-CLIP.

The text is a list of text tokens with a length of 77, encoded using the CLIP tokenizer. You can use from clip.simple_tokenizer import SimpleTokenizer as _Tokenizer to decode it back into the original text.

Using Dataset

You can easily download and use the arxiver dataset with Hugging Face's datasets library.

from datasets import load_dataset

dataset = load_dataset("Kaichengalex/YFCC15M")

References

If you find this dataset useful, please use the following BibTeX entry for citation.

@misc{gu2024rwkvclip,
      title={RWKV-CLIP: A Robust Vision-Language Representation Learner}, 
      author={Tiancheng Gu and Kaicheng Yang and Xiang An and Ziyong Feng and Dongnan Liu and Weidong Cai and Jiankang Deng},
      year={2024},
      eprint={2406.06973},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}