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": "akl", "source": "Good evening.", "target": "Mayad nga gabi-i."}2{"src_lang": "en", "tgt_lang": "akl", "source": "I don't know.", "target": "Owa ako kasayod."}3{"src_lang": "en", "tgt_lang": "akl", "source": "Where are you from?", "target": "Taga-siin ka?"}4{"src_lang": "en", "tgt_lang": "akl", "source": "How are you?", "target": "Kamusta ka?"}5{"src_lang": "en", "tgt_lang": "akl", "source": "I don't understand.", "target": "Indi ako ka-intyende."}6{"src_lang": "en", "tgt_lang": "akl", "source": "Do you speak English?", "target": "Makahambae ka it English?"}7{"src_lang": "en", "tgt_lang": "akl", "source": "What's your name?", "target": "Ano ro ngaean mo?"}8{"src_lang": "en", "tgt_lang": "akl", "source": "Good luck!", "target": "Mayad lang nga swerte!"}9{"src_lang": "en", "tgt_lang": "akl", "source": "Help!", "target": "Tabang!"}10{"src_lang": "en", "tgt_lang": "akl", "source": "Pleased to meet you.", "target": "Guinakalipay ko ro pakipagkita kimo."}11{"src_lang": "en", "tgt_lang": "akl", "source": "No.", "target": "Indi."}12{"src_lang": "en", "tgt_lang": "akl", "source": "Hi.", "target": "Kamusta."}13{"src_lang": "en", "tgt_lang": "akl", "source": "My name is Tom.", "target": "Ro ngaean ko si Tom."}14{"src_lang": "en", "tgt_lang": "akl", "source": "Fire!", "target": "Sunog!"}15{"src_lang": "en", "tgt_lang": "akl", "source": "Hello.", "target": "Kamusta."}16{"src_lang": "en", "tgt_lang": "akl", "source": "Thank you.", "target": "Saeamat."}17{"src_lang": "en", "tgt_lang": "akl", "source": "Thank you.", "target": "Saeamat gid."}18{"src_lang": "en", "tgt_lang": "akl", "source": "Thank you.", "target": "Saeamat nga abu."}19{"src_lang": "en", "tgt_lang": "akl", "source": "Thank you.", "target": "Abu'ng saeamat."}20{"src_lang": "en", "tgt_lang": "akl", "source": "Thank you.", "target": "Saeamat kimo."}21{"src_lang": "en", "tgt_lang": "akl", "source": "Good morning.", "target": "Mayad nga agahon."}22{"src_lang": "en", "tgt_lang": "akl", "source": "My name's Tom.", "target": "Ro ngaean ko si Tom."}23{"src_lang": "en", "tgt_lang": "akl", "source": "Maybe.", "target": "Basi."}24