---
dataset_info:
  features:
  - name: sentence1
    dtype: image
  - name: sentence2
    dtype: image
  - name: score
    dtype: float64
  splits:
  - name: train
    num_bytes: 34326077.5
    num_examples: 2234
  - name: test
    num_bytes: 36403598.0
    num_examples: 3108
  download_size: 53766734
  dataset_size: 70729675.5
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
---
### 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:

```python
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}
}
```