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sentence1
				 
			imagewidth (px) 448 
			448 
			 | sentence2
				 
			imagewidth (px) 448 
			448 
			 | score
				 
			float64 0 
			5 
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0.6 
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0.8 
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0.8 
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1.2 
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0.4 
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1.8 
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2.2 
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0 
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1.6 
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0.8 
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1.2 
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2.4 
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0 
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2.2 
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2 
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0.4 
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0.2 
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1.6 
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2.8 
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1.2 
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2.4 
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2 
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0.8 
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4 
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2.4 
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2.4 
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0 
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2.6 
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1.8 
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2.8 
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3.8 
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1.6 
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2.2 
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1.2 
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0 
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1.4 
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1.6 
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1.4 
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1.5 
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3.2 
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2.6 
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1 
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0.2 
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0.6 
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1.8 
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1.6 
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3 
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2 
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2.6 
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3.4 
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1 
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2.6 
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1.4 
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0.4 
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2.8 
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1.6 
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1.8 
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1.4 
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1.2 
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2.8 
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1 
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0 
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2.6 
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2.4 
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1.2 
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0.8 
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1.2 
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1.4 
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2 
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2.6 
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1 
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0 
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2.2 
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0.4 
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0.8 
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2.4 
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0.2 
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0 
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1.6 
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0.8 
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0 
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2.2 
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2 
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2.2 
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1.6 
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1 
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1.2 
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1.6 
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0 
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0.8 
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0 
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0.8 
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2 
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2.4 
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0.4 
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0 
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1 
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0 
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0.8 
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2.2 
							 | 
					
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	Dataset Summary
This dataset is rendered to images from STS-13. 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-sts13", 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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