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annotations_creators:
- found
language_creators:
- expert-generated
license: cc-by-sa-4.0
pretty_name: OLDI-Seed
task_categories:
- text2text-generation
- translation
configs:
- config_name: default
data_files:
- split: train
path: seed/*.parquet
---
# OLDI Seed Machine Translation Data
This repository hosts the open source seed dataset described in the paper [Small Data, Big Impact: Leveraging Minimal Data for Effective Machine Translation](https://aclanthology.org/2023.acl-long.154). The data, which is licensed under [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/), is currently being managed by OLDI, the [Open Language Data Initiative](https://oldi.org).
## Data
The parallel corpus currently contains 6,193 sentences sampled from English Wikipedia and translated into 44 languages. It can be used to kick-start machine translation models for language directions which currently lack large-scale datasets.
## Contributing
Fixes and new language contributions are most welcome. Please see the [Contribution guidelines](https://oldi.org/guidelines) for further information.
## Language coverage
| Code | Script | Glottocode | Name | Notes |
|-------|--------|------------|-----------------------------------|------------------------------------------------------------|
| `ace` | `Arab` | `achi1257` | Acehnese (Jawi script) | |
| `ace` | `Latn` | `achi1257` | Acehnese (Latin script) | |
| `ary` | `Arab` | `moro1292` | Moroccan Arabic | |
| `arz` | `Arab` | `egyp1253` | Egyptian Arabic | |
| `bam` | `Latn` | `bamb1269` | Bambara | |
| `ban` | `Latn` | `bali1278` | Balinese | |
| `ben` | `Beng` | `beng1280` | Bengali | |
| `bho` | `Deva` | `bhoj1244` | Bhojpuri | |
| `bjn` | `Arab` | `banj1239` | Banjar (Jawi script) | |
| `bjn` | `Latn` | `banj1239` | Banjar (Latin script) | |
| `bug` | `Latn` | `bugi1244` | Buginese | |
| `crh` | `Latn` | `crim1257` | Crimean Tatar | |
| `dik` | `Latn` | `sout2832` | Southwestern Dinka | |
| `dzo` | `Tibt` | `dzon1239` | Dzongkha | |
| `eng` | `Latn` | `stan1293` | English | |
| `fur` | `Latn` | `east2271` | Friulian | |
| `fuv` | `Latn` | `nige1253` | Nigerian Fulfulde | |
| `gug` | `Latn` | `para1311` | Paraguayan Guaraní | |
| `hne` | `Deva` | `chha1249` | Chhattisgarhi | |
| `ita` | `Latn` | `ital1282` | Italian | |
| `kas` | `Arab` | `kash1277` | Kashmiri (Arabic script) | |
| `kas` | `Deva` | `kash1277` | Kashmiri (Devanagari script) | |
| `knc` | `Arab` | `cent2050` | Central Kanuri (Arabic script) | |
| `knc` | `Latn` | `cent2050` | Central Kanuri (Latin script) | |
| `lij` | `Latn` | `geno1240` | Ligurian (Genoese) | |
| `lim` | `Latn` | `limb1263` | Limburgish | |
| `lmo` | `Latn` | `lomb1257` | Lombard | [[1]](https://github.com/openlanguagedata/flores/issues/5) |
| `ltg` | `Latn` | `east2282` | Latgalian | |
| `mag` | `Deva` | `maga1260` | Magahi | |
| `mni` | `Beng` | `mani1292` | Meitei (Manipuri, Bengali script) | |
| `mri` | `Latn` | `maor1246` | Maori | |
| `nqo` | `Nkoo` | `nkoa1234` | Nko | |
| `nus` | `Latn` | `nuer1246` | Nuer | |
| `pbt` | `Arab` | `sout2649` | Southern Pashto | |
| `prs` | `Arab` | `dari1249` | Dari | |
| `scn` | `Latn` | `sici1248` | Sicilian | |
| `shn` | `Mymr` | `shan1277` | Shan | |
| `spa` | `Latn` | `amer1254` | Spanish (Latin American) | |
| `srd` | `Latn` | `sard1257` | Sardinian | [[1]](https://github.com/openlanguagedata/flores/issues/6) |
| `szl` | `Latn` | `sile1253` | Silesian | |
| `taq` | `Latn` | `tama1365` | Tamasheq (Latin script) | |
| `taq` | `Tfng` | `tama1365` | Tamasheq (Tifinagh script) | |
| `vec` | `Latn` | `vene1259` | Venetian | |
| `zgh` | `Tfng` | `stan1324` | Standard Moroccan Tamazight | |
## Citation
This dataset is based upon the work originally described in the following paper:
```bibtex
@inproceedings{seed-23,
title = {Small Data, Big Impact: Leveraging Minimal Data for Effective Machine Translation},
author = {Maillard, Jean and Gao, Cynthia and Kalbassi, Elahe and Sadagopan, Kaushik Ram and Goswami, Vedanuj and Koehn, Philipp and Fan, Angela and Guzmán, Francisco},
booktitle = {Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
year = {2023},
address = {Toronto, Canada},
publisher = {Association for Computational Linguistics},
pages = {2740--2756},
url = {https://aclanthology.org/2023.acl-long.154},
}
```
Other authors have since contributed to the dataset. If you use this dataset in your work, please cite the relevant papers listed in [bibliography.bib](bibliography.bib).
## Changelog
See [CHANGELOG.md](CHANGELOG.md) for information about the latest changes.
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