Datasets:

Pixel-Linguist
/

rendered-sts16

This dataset is rendered to images from STS-16. We envision the need to assess vision encoders' abilities to understand texts. A natural way will be assessing them with the STS protocols, with texts rendered into images.

Examples of Use

Load test split:

from datasets import load_dataset
dataset = load_dataset("Pixel-Linguist/rendered-sts16", split="test")

Languages

English-only; for multilingual and cross-lingual datasets, see Pixel-Linguist/rendered-stsb and Pixel-Linguist/rendered-sts17

Citation Information

@article{xiao2024pixel,
  title={Pixel Sentence Representation Learning},
  author={Xiao, Chenghao and Huang, Zhuoxu and Chen, Danlu and Hudson, G Thomas and Li, Yizhi and Duan, Haoran and Lin, Chenghua and Fu, Jie and Han, Jungong and Moubayed, Noura Al},
  journal={arXiv preprint arXiv:2402.08183},
  year={2024}
}

Downloads last month: 15

Size of downloaded dataset files:

10.4 MB

Size of the auto-converted Parquet files:

10.4 MB

Number of rows:

1,186

Paper for Pixel-Linguist/rendered-sts16

Pixel Sentence Representation Learning

Paper • 2402.08183 • Published Feb 13, 2024 • 2

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