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---
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annotations_creators:
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- found
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language_creators:
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- expert-generated
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license: cc-by-sa-4.0
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pretty_name: OLDI-Seed
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task_categories:
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- text2text-generation
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- translation
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configs:
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- config_name: default
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data_files:
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- split: train
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path: seed/*.parquet
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---
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# OLDI Seed Machine Translation
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---
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annotations_creators:
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- found
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language_creators:
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- expert-generated
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license: cc-by-sa-4.0
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pretty_name: OLDI-Seed
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task_categories:
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- text2text-generation
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- translation
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configs:
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- config_name: default
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data_files:
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- split: train
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path: seed/*.parquet
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---
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# OLDI Seed Machine Translation Datacard
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OLDI Seed is a machine translation dataset designed to be used to kick-start machine translation models for language directions which currently lack large-scale datasets.
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## Dataset Details
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### Dataset Description
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OLDI Seed is a parallel corpus which consists of 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.
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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).
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- **Curated by:** [The Open Language Data Initiative](https://oldi.org/)
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- **Language(s) (NLP):** Around 40, see documentation for full list.
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- **License:** [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/)
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### Dataset Sources
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OLDI Seed is an updated version of 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):
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```bibtex
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@inproceedings{seed-23,
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title = {Small Data, Big Impact: Leveraging Minimal Data for Effective Machine Translation},
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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},
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booktitle = {Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
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year = {2023},
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address = {Toronto, Canada},
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publisher = {Association for Computational Linguistics},
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pages = {2740--2756},
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url = {https://aclanthology.org/2023.acl-long.154},
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}
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```
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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).
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### Language coverage
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| Code | Script | Glottocode | Name | Notes |
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|-------|--------|------------|-----------------------------------|------------------------------------------------------------|
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| `ace` | `Arab` | `achi1257` | Acehnese (Jawi script) | |
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| `ace` | `Latn` | `achi1257` | Acehnese (Latin script) | |
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| `ary` | `Arab` | `moro1292` | Moroccan Arabic | |
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| `arz` | `Arab` | `egyp1253` | Egyptian Arabic | |
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| `bam` | `Latn` | `bamb1269` | Bambara | |
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| `ban` | `Latn` | `bali1278` | Balinese | |
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| `ben` | `Beng` | `beng1280` | Bengali | |
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| `bho` | `Deva` | `bhoj1244` | Bhojpuri | |
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| `bjn` | `Arab` | `banj1239` | Banjar (Jawi script) | |
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| `bjn` | `Latn` | `banj1239` | Banjar (Latin script) | |
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| `bug` | `Latn` | `bugi1244` | Buginese | |
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| `crh` | `Latn` | `crim1257` | Crimean Tatar | |
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| `dik` | `Latn` | `sout2832` | Southwestern Dinka | |
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| `dzo` | `Tibt` | `dzon1239` | Dzongkha | |
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| `eng` | `Latn` | `stan1293` | English | |
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| `fur` | `Latn` | `east2271` | Friulian | |
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| `fuv` | `Latn` | `nige1253` | Nigerian Fulfulde | |
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| `gug` | `Latn` | `para1311` | Paraguayan Guaraní | |
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| `hne` | `Deva` | `chha1249` | Chhattisgarhi | |
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| `ita` | `Latn` | `ital1282` | Italian | |
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| `kas` | `Arab` | `kash1277` | Kashmiri (Arabic script) | |
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| `kas` | `Deva` | `kash1277` | Kashmiri (Devanagari script) | |
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| `knc` | `Arab` | `cent2050` | Central Kanuri (Arabic script) | |
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| `knc` | `Latn` | `cent2050` | Central Kanuri (Latin script) | |
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| `lij` | `Latn` | `geno1240` | Ligurian (Genoese) | |
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| `lim` | `Latn` | `limb1263` | Limburgish | |
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| `lmo` | `Latn` | `lomb1257` | Lombard | [[1]](https://github.com/openlanguagedata/flores/issues/5) |
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| `ltg` | `Latn` | `east2282` | Latgalian | |
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| `mag` | `Deva` | `maga1260` | Magahi | |
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| `mni` | `Beng` | `mani1292` | Meitei (Manipuri, Bengali script) | |
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| `mri` | `Latn` | `maor1246` | Maori | |
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| `nqo` | `Nkoo` | `nkoa1234` | Nko | |
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| `nus` | `Latn` | `nuer1246` | Nuer | |
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| `pbt` | `Arab` | `sout2649` | Southern Pashto | |
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| `prs` | `Arab` | `dari1249` | Dari | |
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| `scn` | `Latn` | `sici1248` | Sicilian | |
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| `shn` | `Mymr` | `shan1277` | Shan | |
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| `spa` | `Latn` | `amer1254` | Spanish (Latin American) | |
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| `srd` | `Latn` | `sard1257` | Sardinian | [[1]](https://github.com/openlanguagedata/flores/issues/6) |
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| `szl` | `Latn` | `sile1253` | Silesian | |
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| `taq` | `Latn` | `tama1365` | Tamasheq (Latin script) | |
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| `taq` | `Tfng` | `tama1365` | Tamasheq (Tifinagh script) | |
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| `vec` | `Latn` | `vene1259` | Venetian | |
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| `zgh` | `Tfng` | `stan1324` | Standard Moroccan Tamazight | |
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## Uses
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OLDI Seed is intended to be used to kick-start machine translation models for language directions which currently lack large-scale datasets.
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## Dataset Structure
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Each instance in the dataset is structured as in the following example:
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```json
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{
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"id": 17,
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"iso_639_3": "gug",
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"iso_15924": "Latn",
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"glottocode": "para1311",
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"text": "Osẽ emperatriz viuda Maria Feodorovna-ramo peteĩ musical de Broadway mbykymi héravaa Anya 1965 arýpe.",
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"url": "https://en.wikipedia.org/wiki/Lillian_Gish",
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"last_updated": "1.0"
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}
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```
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### Data Fields
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- `id`: ID number for each line of data. Lines with the same ID in the same split are translations of each other.
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- `iso_639_3`: The ISO 639-3 code indicating the language variety.
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- `iso_15924`: The ISO 15924 code indicating the script.
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- `glottocode`: The [Glottocode](https://glottolog.org/glottolog/language) corresponding to the language variety.
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- `text`: A line of text in the indicated language.
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- `url`: The URL for the English article from which the sentence was extracted.
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- `last_updated`: The version number of the dataset in which the entry was last updated.
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## Dataset Creation
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See the paper [Small Data, Big Impact: Leveraging Minimal Data for Effective Machine Translation](https://aclanthology.org/2023.acl-long.154) and the [NLLB paper](https://arxiv.org/pdf/2207.04672#page=18.71) for more details.
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### Additional Datacards
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The datasets for some language varieties have individual datacards describing their creation. These can be found in the [dataset_cards](https://huggingface.co/datasets/openlanguagedata/oldi_seed/tree/main/dataset_cards) directory.
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## Dataset Card Contact
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For more information about the OLDI Seed dataset, please see [oldi.org](https://oldi.org/)
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## Contributing
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Fixes and new language contributions are most welcome. Please see the [Contribution guidelines](https://oldi.org/guidelines) for further information.
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## Changelog
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See [CHANGELOG.md](CHANGELOG.md) for information about the latest changes.
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