Datasets:
File size: 1,718 Bytes
2f6d39a |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 |
---
task_categories:
- translation
language:
- en
- ja
---
# Dataset Card for JParaCrawl
### Dataset Summary
Cleaned JParaCrawl data.
For more information, see website below!
[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
{
'id': 0,
'score': 1.2499920129776,
'translation': {
'en': 'Such is God’s forgiveness.',
'ja': 'それは神の赦しの故だ。'
}
}
```
### Licensing Information ###
JESC is distributed under its own licence.
Check the [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",
}
``` |