Lego-MT/Parallel_Dataset
Dataset Sources Paper: LegoMT2: Selective Asynchronous Sharded Data Parallel Training for Massive Neural Machine Translation Link: https://aclanthology.org/2025.findings-acl.1200.pdf Repository: https://github.com/CONE-MT/CONE
0725
1{"src_lang": "en", "tgt_lang": "kam", "source": "My grandmother posted the letter this morning.", "target": "Mwaitu atũmie valũa hũũ kwacha."}2{"src_lang": "en", "tgt_lang": "kam", "source": "Have you washed the car yet?", "target": "Nuthambisye ngali?"}3{"src_lang": "en", "tgt_lang": "kam", "source": "I like dogs.", "target": "Niniendete ngiti."}4{"src_lang": "en", "tgt_lang": "kam", "source": "Hello!", "target": "Ũvoo!"}5{"src_lang": "en", "tgt_lang": "kam", "source": "Dogs are barking.", "target": "Ngiti nisyiukuma."}6{"src_lang": "en", "tgt_lang": "kam", "source": "This is my cat.", "target": "Mbaka hĩĩ nĩ yakwa."}7{"src_lang": "en", "tgt_lang": "kam", "source": "Tom is your boss.", "target": "Tom niwe munene waku."}8{"src_lang": "en", "tgt_lang": "kam", "source": "The train is made up of seven cars.", "target": "Ngali ya mwaki isovetw'e na ngali mũonza."}9 