Datasets:

romrawinjp
/

multi30k

license: mit
language:
  - en
  - cs
  - fr
  - de
pretty_name: multi30k
size_categories:
  - 10K<n<100K
dataset_info:
  features:
    - name: en
      dtype: string
    - name: cs
      dtype: string
    - name: de
      dtype: string
    - name: fr
      dtype: string
    - name: image
      dtype: image
  splits:
    - name: train
      num_bytes: 9864232355
      num_examples: 29000
    - name: validation
      num_bytes: 343487659.18
      num_examples: 1014
    - name: test
      num_bytes: 344102587
      num_examples: 1000
  download_size: 10550398293
  dataset_size: 10551822601.18
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: validation
        path: data/validation-*
      - split: test
        path: data/test-*

Multi30k Dataset

This dataset is a rearrangement version of the Multi30k dataset. The dataset was partially retrived from Multi30k original github.

How to use

This dataset can be downloaded from datasets library. train, validation, and test set are included in the dataset.

from datasets import load_dataset

dataset = load_dataset("romrawinjp/multi30k")

Reference

If you find this dataset beneficial, please directly cite to their incredible work.

@InProceedings{W16-3210,
  author = 	"Elliott, Desmond
        and Frank, Stella
        and Sima'an, Khalil
        and Specia, Lucia",
  title = 	"Multi30K: Multilingual English-German Image Descriptions",
  booktitle = 	"Proceedings of the 5th Workshop on Vision and Language",
  year = 	"2016",
  publisher = 	"Association for Computational Linguistics",
  pages = 	"70--74",
  location = 	"Berlin, Germany",
  doi = 	"10.18653/v1/W16-3210",
  url = 	"http://www.aclweb.org/anthology/W16-3210"
}