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": "pau", "source": "My name is Hopkins.", "target": "A ngklek a Hopkins."}2{"src_lang": "en", "tgt_lang": "pau", "source": "I'm from America.", "target": "Ak chad er a Merikel."}3{"src_lang": "en", "tgt_lang": "pau", "source": "I'm fine.", "target": "Ak mesisiich."}4{"src_lang": "en", "tgt_lang": "pau", "source": "Good morning!", "target": "Ungil tutau!"}5{"src_lang": "en", "tgt_lang": "pau", "source": "Good evening.", "target": "Ungil kebesengei."}6{"src_lang": "en", "tgt_lang": "pau", "source": "Where do you live?", "target": "Ke kiei er ker?"}7{"src_lang": "en", "tgt_lang": "pau", "source": "How are you?", "target": "Ke ua ngerang?"}8{"src_lang": "en", "tgt_lang": "pau", "source": "Hello!", "target": "Alii!"}9{"src_lang": "en", "tgt_lang": "pau", "source": "Thank you!", "target": "Sulang!"}10{"src_lang": "en", "tgt_lang": "pau", "source": "One, two, three, four, five, six, seven, eight, nine, ten.", "target": "Tang, erung, edei, euang, eim, elolm, euid, eai, etiu, tacher"}11{"src_lang": "en", "tgt_lang": "pau", "source": "Where are you going?", "target": "Ke mo er ker?"}12{"src_lang": "en", "tgt_lang": "pau", "source": "How old are you?", "target": "Ng tela a rekim?"}13{"src_lang": "en", "tgt_lang": "pau", "source": "What's your phone number?", "target": "Ng tela a dengua er kau?"}14{"src_lang": "en", "tgt_lang": "pau", "source": "No.", "target": "Ng diak."}15{"src_lang": "en", "tgt_lang": "pau", "source": "Yes.", "target": "Chochoi."}16{"src_lang": "en", "tgt_lang": "pau", "source": "Good afternoon.", "target": "Ungil sueleb."}17{"src_lang": "en", "tgt_lang": "pau", "source": "Goodbye!", "target": "Mechikung!"}18{"src_lang": "en", "tgt_lang": "pau", "source": "Yes!", "target": "Chochoi!"}19{"src_lang": "en", "tgt_lang": "pau", "source": "Thank you very much.", "target": "Meral ma sulang."}20{"src_lang": "en", "tgt_lang": "pau", "source": "Hello.", "target": "Alii."}21{"src_lang": "en", "tgt_lang": "pau", "source": "Thank you.", "target": "Sulang."}22{"src_lang": "en", "tgt_lang": "pau", "source": "Good morning.", "target": "Ungil tutau."}23{"src_lang": "en", "tgt_lang": "pau", "source": "Good evening!", "target": "Ungil kebesengei!"}24{"src_lang": "en", "tgt_lang": "pau", "source": "Goodbye.", "target": "Mechikung."}25{"src_lang": "en", "tgt_lang": "pau", "source": "Good afternoon!", "target": "Ungil sueleb!"}26{"src_lang": "en", "tgt_lang": "pau", "source": "I'm from China.", "target": "Ak chad er a Sina."}27{"src_lang": "en", "tgt_lang": "pau", "source": "No!", "target": "Ng diak!"}28{"src_lang": "en", "tgt_lang": "pau", "source": "I'm from Japan.", "target": "Ak chad er a Siabal."}29 