Datasets:

openlanguagedata
/

oldi_seed

@@ -253,24 +253,11 @@ The data, which is licensed under [CC BY-SA 4.0](https://creativecommons.org/lic
 - **Language(s) (NLP):** Around 40, see documentation for full list.
 - **License:** [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/)
-### Dataset Sources
-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):
-```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).
 ## Uses

 - **Language(s) (NLP):** Around 40, see documentation for full list.
 - **License:** [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/)
+### Citation
+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).
+Other authors have since contributed to the dataset. If you use OLDI Seed in your work, please cite the relevant papers listed in [bibliography.bib](bibliography.bib).
 ## Uses