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": "gil", "source": "One, two, three, four, five, six, seven, eight, nine, ten.", "target": "Teuana, uoua, tenua, aua, nimaua, onoua, itua, wanua, ruaiwa, tebwina."}2{"src_lang": "en", "tgt_lang": "gil", "source": "Where do they come from?", "target": "A roko maiia?"}3{"src_lang": "en", "tgt_lang": "gil", "source": "My name is Jim.", "target": "Arau Tim."}4{"src_lang": "en", "tgt_lang": "gil", "source": "Excuse me, I don't understand.", "target": "Taiaoka bwa I aki oota."}5{"src_lang": "en", "tgt_lang": "gil", "source": "Do you speak Kiribati?", "target": "Ko rabakau n taetae ni Kiribati?"}6{"src_lang": "en", "tgt_lang": "gil", "source": "He bought some rice.", "target": "E kabooa te raiti."}7{"src_lang": "en", "tgt_lang": "gil", "source": "Do you have a smoke?", "target": "Iai am moko?"}8{"src_lang": "en", "tgt_lang": "gil", "source": "The house is red.", "target": "E uraura te auti."}9{"src_lang": "en", "tgt_lang": "gil", "source": "This is the story of my country.", "target": "Aio rongorongon abau."}10{"src_lang": "en", "tgt_lang": "gil", "source": "He gave me a book.", "target": "E anganai te boki."}11{"src_lang": "en", "tgt_lang": "gil", "source": "He sent me a letter.", "target": "E kanakoa te reta nakoiu."}12{"src_lang": "en", "tgt_lang": "gil", "source": "They saw the ship.", "target": "A noora te kaibuke."}13 