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
0722
1{"src_lang": "en", "tgt_lang": "tvl", "source": "Is everything all right?", "target": "E 'lei mea katoa?"}2{"src_lang": "en", "tgt_lang": "tvl", "source": "What?", "target": "Se a?"}3{"src_lang": "en", "tgt_lang": "tvl", "source": "What is your name?", "target": "Ko ai tou ingoa?"}4{"src_lang": "en", "tgt_lang": "tvl", "source": "Everything is all right.", "target": "E 'lei mea katoa!"}5{"src_lang": "en", "tgt_lang": "tvl", "source": "What is this?", "target": "Se a te mea nei?"}6{"src_lang": "en", "tgt_lang": "tvl", "source": "What's your name?", "target": "Ko ai tou ingoa?"}7{"src_lang": "en", "tgt_lang": "tvl", "source": "One, two, three, four, five, six, seven, eight, nine, ten.", "target": "Tahi, lua, tolu, fa, lima, ono, fitu, valu, iva, sefulu."}8{"src_lang": "en", "tgt_lang": "tvl", "source": "Where are you going?", "target": "Koe e fano ki fea?"}9{"src_lang": "en", "tgt_lang": "tvl", "source": "Who is there?", "target": "Ko ai na?"}10{"src_lang": "en", "tgt_lang": "tvl", "source": "Who?", "target": "Ko ai?"}11{"src_lang": "en", "tgt_lang": "tvl", "source": "His name is Tom.", "target": "Ko Tom tona ingoa."}12{"src_lang": "en", "tgt_lang": "tvl", "source": "How many?", "target": "E fia?"}13{"src_lang": "en", "tgt_lang": "tvl", "source": "She's the most beautiful girl.", "target": "Sei se tamaflne ngali pela."}14