Machine translation (MT) benchmark dataset for languages in the Horn of Africa.
# HornMT
The `HornMT` repository contains data and the associated metadata for the project Machine Translation Benchmark Dataset for Languages in the Horn of Africa. It is a multi-way parallel corpus that will serve as a benchmark to accelerate progress in machine translation research and production systems for languages in the Horn of Africa.
## Supported Languages
Language | ISO 639-3 code
------------- | -------------
Afar | aaf
Amharic | amh
English | eng
Oromo | orm
Somali | som
Tigrinya | tir
## Content
`data/` contains one text file per language and each file contains news snippets in the same order for each language.
```
data
├── aar.txt
├── amh.txt
├── eng.txt
├── orm.txt
├── som.txt
└── tir.txt
```
`metadata.tsv` contains tab separated data describing each news snippet. The metadata contains the following fields.
- **Scope** - describes whether the news is global or local. It takes two values: Global news and Local news.
- **Category** - News category covering the following 12 topics
- Art and Culture
- Business and Economy
- Conflicts and Attacks
- Disaster and Accidents
- Entertainment
- Environment
- Health
- International Relations
- Law and Crime
- Politics
- Science and Technology
- Sport
- **Source** - List of one or more URLs from which the news content is extracted or based on.
- **Domain** - TLD corresponding to the URL(s) in Source.
- **Date** - The publication date of the source article. The format is yyyy-mm-dd.
## Other formats
All the data and associated metadata together in one file is also available in other file formats.
`HornMT.xlsx` - data and associated metadata in xlsx format.
`HornMT.json` - data and associated metadata in json format.
Below is an example row.
```json
{
"data":{
"eng":"The World Meteorological Organisation reports that the ozone layer is damaged to its worst extent ever in the Arctic.",
"aaf":"Baad Metrolojih Eglali Areketekeh Addal Ozonih qelu faxe waktik lafetle calat biyakisem xayose.",
"amh": …