Datasets:

Pixel-Linguist
/

rendered-sts12

sentence1 imagewidth (px) 448 448	sentence2 imagewidth (px) 448 448	score float64 0 5
		4
		3.75
		2.8
		3.4
		2.4
		1.333
		4.6
		3.8
		4.2
		2.6
		4.4
		4.2
		5
		5
		5
		3.4
		5
		4
		3.2
		5
		4.4
		3.6
		3.6
		0.8
		1.4
		3.2
		3.8
		4.2
		3
		3.6
		3
		3
		3
		4.8
		2.5
		2.25
		3.5
		3.5
		3
		3
		3.667
		1.667
		3.6
		3.8
		3.4
		3.4
		3.8
		2.8
		3.75
		4.4
		3.75
		2.75
		3.75
		2.25
		3.8
		3.2
		3.8
		4.8
		4
		1.4
		4.2
		1.8
		4.2
		2
		2.6
		3.25
		5
		3
		3.75
		4.25
		4.75
		3.25
		3.75
		3.25
		3.8
		5
		3.6
		3.8
		2
		3.4
		4.2
		3.4
		3
		3
		3.25
		2.75
		2.6
		3.4
		3.6
		3.6
		4.8
		4
		3.6
		3.4
		2.4
		4.222
		3
		3
		2.75
		4

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Dataset Summary

This dataset is rendered to images from STS-12. 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-sts12", 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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5,342