README.md

metadata

annotations_creators:
  - crowdsourced
language_creators:
  - crowdsourced
  - found
  - machine-generated
language:
  - de
  - en
  - es
  - fr
  - it
  - nl
  - pl
  - pt
  - ru
  - zh
license:
  - other
multilinguality:
  - multilingual
size_categories:
  - 10K<n<100K
source_datasets:
  - extended|other-sts-b
task_categories:
  - text-classification
task_ids:
  - text-scoring
  - semantic-similarity-scoring
pretty_name: STSb Multi MT
configs:
  - config_name: default
    data_files:
      - path: test/*.parquet
        split: test
      - path: train/*.parquet
        split: train
      - path: dev/*.parquet
        split: dev
  - config_name: de
    data_files:
      - path: test/de.parquet
        split: test
      - path: train/de.parquet
        split: train
      - path: dev/de.parquet
        split: dev
  - config_name: fr
    data_files:
      - path: test/fr.parquet
        split: test
      - path: train/fr.parquet
        split: train
      - path: dev/fr.parquet
        split: dev
  - config_name: ru
    data_files:
      - path: test/ru.parquet
        split: test
      - path: train/ru.parquet
        split: train
      - path: dev/ru.parquet
        split: dev
  - config_name: zh
    data_files:
      - path: test/zh.parquet
        split: test
      - path: train/zh.parquet
        split: train
      - path: dev/zh.parquet
        split: dev
  - config_name: es
    data_files:
      - path: test/es.parquet
        split: test
      - path: train/es.parquet
        split: train
      - path: dev/es.parquet
        split: dev
  - config_name: it
    data_files:
      - path: test/it.parquet
        split: test
      - path: train/it.parquet
        split: train
      - path: dev/it.parquet
        split: dev
  - config_name: en
    data_files:
      - path: test/en.parquet
        split: test
      - path: train/en.parquet
        split: train
      - path: dev/en.parquet
        split: dev
  - config_name: pt
    data_files:
      - path: test/pt.parquet
        split: test
      - path: train/pt.parquet
        split: train
      - path: dev/pt.parquet
        split: dev
  - config_name: nl
    data_files:
      - path: test/nl.parquet
        split: test
      - path: train/nl.parquet
        split: train
      - path: dev/nl.parquet
        split: dev
  - config_name: pl
    data_files:
      - path: test/pl.parquet
        split: test
      - path: train/pl.parquet
        split: train
      - path: dev/pl.parquet
        split: dev

Dataset Summary

This dataset is rendered to images from STS-benchmark. We envision the need to assess vision encoders' abilities to understand texts.

Examples of Use

Load English train Dataset:

from datasets import load_dataset
dataset = load_dataset("Pixel-linguist", name="en", split="train")

Load Chinese dev Dataset:

from datasets import load_dataset
dataset = load_dataset("Pixel-linguist", name="zh", split="dev")

Languages

Languages are: de, en, es, fr, it, nl, pl, pt, ru, zh

An example:

{
    "sentence1": "A man is playing a large flute.",
    "sentence2": "A man is playing a flute.",
    "similarity_score": 3.8
}

Data Fields

• sentence1: The 1st sentence as a str.
• sentence2: The 2nd sentence as a str.
• score: The similarity score as a float which is <= 5.0 and >= 0.0.

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}
}