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sentence1
imagewidth (px)
448
448
sentence2
imagewidth (px)
448
448
score
float64
0
5
3
0.6
1
0.6
0.8
2.4
1
0.2
0.6
3.6
0.2
0.2
0
0
1.2
0
0.4
0.4
3
4.4
3.2
3.4
3.4
3.6
0.8
0.8
1
1.6
1
3.2
2
0
0.6
0
1.4
2
2.6
4.2
2.8
0
0
2
0
2.6
2.6
0
2.6
0
1.6
0
0.6
1.8
3.8
1.6
3.2
2.6
3
1.4
1.6
1.6
1
1.8
1.8
1.4
2.6
2
1
1.4
0.6
1.4
0.4
1.8
4
0.6
2.8
2.6
2.6
0.6
4.4
2.2
1
0
1.6
1.8
3.8
3
1.4
3
0.4
3.6
3.4
2.8
4.2
4.2
1.8
1
2
1
1.6
2.6

Dataset Summary

This dataset is rendered to images from STS-15. 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-sts15", 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}
}
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