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sentence1
imagewidth (px)
448
448
sentence2
imagewidth (px)
448
448
score
float64
0
5
2.5
3.6
5
4.2
1.5
1.8
3.5
2.2
2.2
1.714
1.714
5
0.6
4.4
2
1.8
4.4
3.6
3.6
1.2
2.4
0.2
4.2
4.4
2.25
2
0.75
2.2
0.8
2.2
3.2
4.8
1.4
4.25
3.4
0.533
0.4
1.2
5
0.538
3.75
3
3.6
0.5
1.5
0.8
0.8
0.6
4.4
1.75
0.4
1.4
0.4
0.8
2
0.133
4
0.267
3.4
1.2
5
0
3.8
0.75
3.4
0
0.2
4
0.5
3.8
2.4
4.75
0
3.75
2.6
0
0.75
0
3.8
2.8
0
0.8
3
1
0
1
3.4
5
2.333
1.4
0.75
3.538
0.8
3.5
2
4.75
4
4.5
1.5
2.4

Dataset Summary

This dataset is rendered to images from STS-benchmark. 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 English train Dataset:

from datasets import load_dataset
dataset = load_dataset("Pixel-Linguist/rendered-stsb", name="en", split="train")

Load Chinese dev Dataset:

from datasets import load_dataset
dataset = load_dataset("Pixel-Linguist/rendered-stsb", name="zh", split="dev")

Languages

de, en, es, fr, it, nl, pl, pt, ru, zh

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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