README.md

metadata

annotations_creators:
  - crowdsourced
language_creators:
  - crowdsourced
  - found
  - machine-generated
license:
  - other
multilinguality:
  - multilingual
size_categories:
  - 10K<n<100K
task_ids:
  - text-scoring
  - semantic-similarity-scoring
pretty_name: rendered sts17
language:
  - ar
  - de
  - en
  - es
  - fr
  - it
  - nl
  - ko
  - tr
configs:
  - config_name: default
    data_files:
      - path: test/*.parquet
        split: test
  - config_name: ar-ar
    data_files:
      - path: test/ar-ar.parquet
        split: test
  - config_name: en-ar
    data_files:
      - path: test/en-ar.parquet
        split: test
  - config_name: en-de
    data_files:
      - path: test/en-de.parquet
        split: test
  - config_name: en-en
    data_files:
      - path: test/en-en.parquet
        split: test
  - config_name: en-tr
    data_files:
      - path: test/en-tr.parquet
        split: test
  - config_name: es-en
    data_files:
      - path: test/es-en.parquet
        split: test
  - config_name: es-es
    data_files:
      - path: test/es-es.parquet
        split: test
  - config_name: fr-en
    data_files:
      - path: test/fr-en.parquet
        split: test
  - config_name: it-en
    data_files:
      - path: test/it-en.parquet
        split: test
  - config_name: ko-ko
    data_files:
      - path: test/ko-ko.parquet
        split: test
  - config_name: nl-en
    data_files:
      - path: test/nl-en.parquet
        split: test

Dataset Summary

This dataset is rendered to images from STS-17. 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 Arabic to Arabic dataset:

from datasets import load_dataset
dataset = load_dataset("Pixel-Linguist/rendered-sts17", name="ar-ar", split="test")

Load French to English dataset:

from datasets import load_dataset
dataset = load_dataset("Pixel-Linguist/rendered-sts17", name="fr-en", split="test")

Languages

ar-ar, en-ar, en-de, en-en, en-tr, es-en, es-es, fr-en, it-en, ko-ko, nl-en

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}
}