README.md

---
language:
- en
- ja
task_categories:
- translation
dataset_info:
  features:
  - name: translation
    struct:
    - name: en
      dtype: string
    - name: ja
      dtype: string
  splits:
  - name: train
    num_bytes: 1084069907
    num_examples: 3669859
  download_size: 603669921
  dataset_size: 1084069907
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---

# Dataset Card for JParaCrawl 
### Dataset Summary

Cleaned JParaCrawl data.
For more information, see website below!
**[https://www.kecl.ntt.co.jp/icl/lirg/jparacrawl/](https://www.kecl.ntt.co.jp/icl/lirg/jparacrawl/)**

JParaCrawl is the largest publicly available English-Japanese parallel corpus created by NTT.
It was created by largely crawling the web and automatically aligning parallel sentences.

### How to use

```
from datasets import load_dataset
dataset = load_dataset("Hoshikuzu/JParaCrawl")
```
If data loading times are too long and boring, use Streaming.

```
from datasets import load_dataset
dataset = load_dataset("Hoshikuzu/JParaCrawl", streaming=True)
```

### Data Instances
For example:

```json
{
  'en': 'Of course, we’ll keep the important stuff, but we’ll try to sell as much as possible of the stuff we don’t need. afterwards I feel like we can save money by reducing things and making life related patterns too.',
  'ja': 'もちろん大切なものは取っておきますが、なくても困らないものはなるべく売るようにします。 さいごに ものを減らして、生活関連もパターン化することでお金は貯まる気がしています。'
}
```
### Licensing Information ###
JParaCrawl is distributed under its own licence.
Check the **[https://www.kecl.ntt.co.jp/icl/lirg/jparacrawl/](https://www.kecl.ntt.co.jp/icl/lirg/jparacrawl/)**.

### Data Splits
Only a `train` split is provided.

### Citation Information ###
```json
@inproceedings{morishita-etal-2020-jparacrawl,
    title = "{JP}ara{C}rawl: A Large Scale Web-Based {E}nglish-{J}apanese Parallel Corpus",
    author = "Morishita, Makoto  and
      Suzuki, Jun  and
      Nagata, Masaaki",
    booktitle = "Proceedings of The 12th Language Resources and Evaluation Conference",
    month = may,
    year = "2020",
    address = "Marseille, France",
    publisher = "European Language Resources Association",
    url = "https://www.aclweb.org/anthology/2020.lrec-1.443",
    pages = "3603--3609",
    ISBN = "979-10-95546-34-4",
}
```