README.md

---
dataset_info:
  features:
  - name: id
    dtype: string
  - name: ja
    dtype: string
  - name: en
    dtype: string
  splits:
  - name: train
    num_bytes: 17758809
    num_examples: 147876
  download_size: 10012915
  dataset_size: 17758809
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
license: cc-by-4.0
task_categories:
- translation
language:
- ja
- en
pretty_name: tanaka-corpus
size_categories:
- 100K<n<1M
---


HF Datasets version of [Tanaka Corpus](http://www.edrdg.org/wiki/index.php/Tanaka_Corpus).


## Preprocess for HF Datasets

以下の内容でオリジナルデータを前処理しました。

```bash
wget ftp://ftp.edrdg.org/pub/Nihongo/examples.utf.gz
gunzip examples.utf.gz
```

```python
import re
from pathlib import Path

from more_itertools import chunked

import datasets as ds

data = []
with Path("examples.utf").open() as f:
    for row, _ in chunked(f, 2):
        ja, en, idx = re.findall(r"A: (.*?)\t(.*?)#ID=(.*$)", row)[0]
        data.append(
            {
                "id": idx,
                "ja": ja.strip(),
                "en": en.strip(),
            }
        )

dataset = ds.Dataset.from_list(data)
dataset.push_to_hub("hpprc/tanaka-corpus")
```