---
dataset_info:
  features:
  - name: text_en
    dtype: string
  - name: text_ar
    dtype: string
  splits:
  - name: train
    num_bytes: 9128039564
    num_examples: 19279407
  - name: test
    num_bytes: 3677574
    num_examples: 8752
  - name: dev
    num_bytes: 3714475
    num_examples: 8752
  download_size: 5159323292
  dataset_size: 9135431613
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
  - split: dev
    path: data/dev-*
task_categories:
- translation
language:
- ar
- en
size_categories:
- 10M<n<100M
---

## Dataset Details

MultiUN + UNPC datasets, with rule-based and semantic filtering (train > 0.45 - test/dev > 0.9)
as well as (>= 0.1) fasttext language detection.


### Dataset Structure

```
DatasetDict({
    train: Dataset({
        features: ['text_en', 'text_ar'],
        num_rows: 19279407
    })
    test: Dataset({
        features: ['text_en', 'text_ar'],
        num_rows: 8752
    })
    dev: Dataset({
        features: ['text_en', 'text_ar'],
        num_rows: 8752
    })
})
```