README.md

---
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](https://github.com/multi30k/dataset).

# How to use
This dataset can be downloaded from `datasets` library. `train`, `validation`, and `test` set are included in the dataset.

```python
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"
}
```