Datasets:
File size: 2,479 Bytes
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---
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",
}
``` |