---
dataset_info:
  features:
  - name: English
    dtype: string
  - name: Arabic
    dtype: string
  splits:
  - name: train
    num_bytes: 2710825
    num_examples: 30852
  download_size: 1768292
  dataset_size: 2710825
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
license: cc-by-2.0
task_categories:
- translation
language:
- en
- ar
size_categories:
- 10K<n<100K
---

## Dataset Details

English-to-Arabic translated sentences from Tatoeba, OPUS.
The dataset includes unique pairs only, and its statistics are as follows:

```
Dataset({
    features: ['English', 'Arabic'],
    num_rows: 30853
})
```


### Citation

```
@inproceedings{tiedemann-2012-parallel,
    title = "Parallel Data, Tools and Interfaces in {OPUS}",
    author = {Tiedemann, J{\"o}rg},
    booktitle = "Proceedings of the Eighth International Conference on Language Resources and Evaluation ({LREC}'12)",
    month = may,
    year = "2012",
    address = "Istanbul, Turkey",
    publisher = "European Language Resources Association (ELRA)",
    url = "http://www.lrec-conf.org/proceedings/lrec2012/pdf/463_Paper.pdf",
    pages = "2214--2218",
    abstract = "This paper presents the current status of OPUS, a growing language resource of parallel corpora and related tools. The focus in OPUS is to provide freely available data sets in various formats together with basic annotation to be useful for applications in computational linguistics, translation studies and cross-linguistic corpus studies. In this paper, we report about new data sets and their features, additional annotation tools and models provided from the website and essential interfaces and on-line services included in the project.",
}
```