Pixel-Linguist/rendered-sts13 · Datasets at Hugging Face

sentence1

imagewidth (px)

448

sentence2

imagewidth (px)

448

score

float64

0.6

0.8

1.2

0.4

1.8

2.2

1.6

0.8

1.2

2.4

2.2

0.4

0.2

1.6

2.8

1.2

2.4

0.8

2.4

2.6

1.8

2.8

3.8

1.6

2.2

1.2

1.4

1.6

1.4

1.5

3.2

2.6

0.2

0.6

1.8

1.6

2.6

3.4

2.6

1.4

0.4

2.8

1.6

1.8

1.4

1.2

2.8

2.6

2.4

1.2

0.8

1.2

1.4

2.6

2.2

0.4

0.8

2.4

0.2

1.6

0.8

2.2

1.6

1.2

1.6

0.8

2.4

0.4

0.8

2.2

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}
}

sentence1 imagewidth (px) 448 448	sentence2 imagewidth (px) 448 448	score float64 0 5
		0.6
		0.8
		0.8
		1.2
		0.4
		1.8
		2.2
		0
		1.6
		0.8
		1.2
		2.4
		0
		2.2
		2
		0.4
		0.2
		1.6
		2.8
		1.2
		2.4
		2
		0.8
		4
		2.4
		2.4
		0
		2.6
		1.8
		2.8
		3.8
		1.6
		2.2
		1.2
		0
		1.4
		1.6
		1.4
		1.5
		3.2
		2.6
		1
		0.2
		0.6
		1.8
		1.6
		3
		2
		2.6
		3.4
		1
		2.6
		1.4
		0.4
		2.8
		1.6
		1.8
		1.4
		1.2
		2.8
		1
		0
		2.6
		2.4
		1.2
		0.8
		1.2
		1.4
		2
		2.6
		1
		0
		2.2
		0.4
		0.8
		2.4
		0.2
		0
		1.6
		0.8
		0
		2.2
		2
		2.2
		1.6
		1
		1.2
		1.6
		0
		0.8
		0
		0.8
		2
		2.4
		0.4
		0
		1
		0
		0.8
		2.2

sentence1 imagewidth (px) 448 448	sentence2 imagewidth (px) 448 448	score float64 0 5
		0.6
		0.8
		0.8
		1.2
		0.4
		1.8
		2.2
		0
		1.6
		0.8
		1.2
		2.4
		0
		2.2
		2
		0.4
		0.2
		1.6
		2.8
		1.2
		2.4
		2
		0.8
		4
		2.4
		2.4
		0
		2.6
		1.8
		2.8
		3.8
		1.6
		2.2
		1.2
		0
		1.4
		1.6
		1.4
		1.5
		3.2
		2.6
		1
		0.2
		0.6
		1.8
		1.6
		3
		2
		2.6
		3.4
		1
		2.6
		1.4
		0.4
		2.8
		1.6
		1.8
		1.4
		1.2
		2.8
		1
		0
		2.6
		2.4
		1.2
		0.8
		1.2
		1.4
		2
		2.6
		1
		0
		2.2
		0.4
		0.8
		2.4
		0.2
		0
		1.6
		0.8
		0
		2.2
		2
		2.2
		1.6
		1
		1.2
		1.6
		0
		0.8
		0
		0.8
		2
		2.4
		0.4
		0
		1
		0
		0.8
		2.2

sentence1 imagewidth (px) 448 448	sentence2 imagewidth (px) 448 448	score float64 0 5
		0.6
		0.8
		0.8
		1.2
		0.4
		1.8
		2.2
		0
		1.6
		0.8
		1.2
		2.4
		0
		2.2
		2
		0.4
		0.2
		1.6
		2.8
		1.2
		2.4
		2
		0.8
		4
		2.4
		2.4
		0
		2.6
		1.8
		2.8
		3.8
		1.6
		2.2
		1.2
		0
		1.4
		1.6
		1.4
		1.5
		3.2
		2.6
		1
		0.2
		0.6
		1.8
		1.6
		3
		2
		2.6
		3.4
		1
		2.6
		1.4
		0.4
		2.8
		1.6
		1.8
		1.4
		1.2
		2.8
		1
		0
		2.6
		2.4
		1.2
		0.8
		1.2
		1.4
		2
		2.6
		1
		0
		2.2
		0.4
		0.8
		2.4
		0.2
		0
		1.6
		0.8
		0
		2.2
		2
		2.2
		1.6
		1
		1.2
		1.6
		0
		0.8
		0
		0.8
		2
		2.4
		0.4
		0
		1
		0
		0.8
		2.2