README.md

---
dataset_info:
  features:
  - name: id
    dtype: int32
  - name: score
    dtype: float32
  - name: translation
    dtype:
      translation:
        languages:
        - en
        - ja
  splits:
  - name: train
    num_bytes: 6415875645
    num_examples: 40883733
  download_size: 4563432887
  dataset_size: 6415875645
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
license: unknown
task_categories:
- translation
- text2text-generation
language:
- en
- ja
---


# Dataset Card for CCMatrix-en-ja

### Dataset Summary

This corpus is extracted from **[yhavinga/ccmatrix](https://huggingface.co/datasets/yhavinga/ccmatrix)**, with Japanese and English pairs.

### How to use

It is used in much the same way as **[yhavinga/ccmatrix](https://huggingface.co/datasets/yhavinga/ccmatrix)**. The only difference is that you do not have to specify the language.

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

```
from datasets import load_dataset
dataset = load_dataset("yhavinga/ccmatrix", streaming=True)
```

## Dataset Structure

### 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。'
        }
  }
```

### Data Fields
Each example contains an integer id starting with 0, a score, and a translation dictionary with the language 1 and
language 2 texts.

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

### Citation Information

Follow the instructions described in the **[yhavinga/ccmatrix](https://huggingface.co/datasets/yhavinga/ccmatrix)** readme.
The following is taken from **[yhavinga/ccmatrix](https://huggingface.co/datasets/yhavinga/ccmatrix)**:

IMPORTANT: Please cite reference [2][3] if you use this data.

1. **[CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data](https://arxiv.org/abs/1911.00359)**
   by *Guillaume Wenzek, Marie-Anne Lachaux, Alexis Conneau, Vishrav Chaudhary, Francisco Guzmán, Armand Jouli
    and Edouard Grave*.
2. **[CCMatrix: Mining Billions of High-Quality Parallel Sentences on the WEB](https://arxiv.org/abs/1911.04944)** by *Holger Schwenk, Guillaume Wenzek, Sergey Edunov, Edouard Grave and Armand Joulin*.
3. **[Beyond English-Centric Multilingual Machine Translation](https://arxiv.org/abs/2010.11125)** by *Angela Fan, Shruti Bhosale, Holger Schwenk, Zhiyi Ma, Ahmed El-Kishky, Siddharth Goyal, Mandeep Baines,
    Onur Celebi, Guillaume Wenzek, Vishrav Chaudhary, Naman Goyal, Tom Birch, Vitaliy Liptchinsky,
    Sergey Edunov, Edouard Grave, Michael Auli, and Armand Joulin.*

This HuggingFace CCMatrix dataset is a wrapper around the service and files prepared and hosted by OPUS:

* **[Parallel Data, Tools and Interfaces in OPUS](https://www.aclweb.org/anthology/L12-1246/)** by *Jörg Tiedemann*.