sentence1
imagewidth (px)
448
448
sentence2
imagewidth (px)
448
448
score
float64
0
5
3
0.8
3.8
1
0.4
4.6
5
2
5
0.6
1
5
3.6
4
3.1
2.2
3.2
4.4
2.2
2.4
2.8
4.6
1
2.2
2.2
3.8
2.8
2.2
2.6
3
4.8
1.4
1.2
0.8
2
1.2
2.8
2.6
2.6
0.8
2.4
3
1
3.2
4.6
1.4
3
5
0.8
2.111111
2.8
2
1.1
5
1.2
3
4.5
3.4
3.8
4
2.6
1.8
2.4
3.4
3.4
3.6
1.6
3.2
4.6
4.4
2.2
1.2
2.2
3.8
4
2.2
0.8
2.6
2.2
1.6
2.6
1.8
2.8
3.6
2
2.2
4.8
2.2
3.6
1.4
2
1.8
3
2
4.2
2
3
3.4
3.6
3.6

Dataset Summary

This dataset is rendered to images from STS-14. 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-sts14", 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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