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": "mic", "source": "Yes!", "target": "E’e!"}2{"src_lang": "en", "tgt_lang": "mic", "source": "I love you, Laurie.", "target": "Kesalul, Laurie!"}3{"src_lang": "en", "tgt_lang": "mic", "source": "I love you!", "target": "Kesalul!"}4{"src_lang": "en", "tgt_lang": "mic", "source": "Hi, my name's Tom!", "target": "Gwe', taluisi Tom!"}5{"src_lang": "en", "tgt_lang": "mic", "source": "My name's Tom.", "target": "Taluisi Tom."}6{"src_lang": "en", "tgt_lang": "mic", "source": "My name's Henry.", "target": "Taluisi Henry."}7{"src_lang": "en", "tgt_lang": "mic", "source": "Who is that you're going around with?", "target": "Wen net alwije'tioq?"}8{"src_lang": "en", "tgt_lang": "mic", "source": "Who just came in?", "target": "Wen gisipisgwa't?"}9{"src_lang": "en", "tgt_lang": "mic", "source": "This city's name is Arras.", "target": "Ula gjigan teluisig Arras."}10{"src_lang": "en", "tgt_lang": "mic", "source": "How far away is the ocean?", "target": "Tatuji gneg eteg gta'n?"}11