File size: 1,252 Bytes
0f3867f 1f8d08d 0f3867f 1f8d08d 0f3867f 2b17b62 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 |
---
dataset_info:
features:
- name: sentence1
dtype: image
- name: sentence2
dtype: image
- name: score
dtype: float64
splits:
- name: test
num_bytes: 33542155.0
num_examples: 3000
download_size: 25489936
dataset_size: 33542155.0
configs:
- config_name: default
data_files:
- split: test
path: data/test-*
---
### Dataset Summary
This dataset is rendered to images from STS-15. 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-sts15", 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}
}
``` |