FGraDA

FGraDA数据集由南京大学国家软件新技术重点实验室创建，专注于机器翻译中的细粒度领域适应问题。该数据集包含四个信息技术子领域的汉英翻译任务：自动驾驶、AI教育、实时网络和智能手机。每个子领域配备有开发集和测试集，用于评估翻译质量。FGraDA不使用领域内双语训练数据，而是提供双语词典和维基知识库，以模拟真实世界中快速和经济的数据获取需求。数据集的应用领域包括为特定国际会议提供翻译服务，解决特定领域内数据资源有限的问题。

The FGraDA dataset was created by the State Key Laboratory for Novel Software Technology at Nanjing University, focusing on fine-grained domain adaptation in machine translation. This dataset covers Chinese-English translation tasks across four information technology subfields: autonomous driving, AI education, real-time networking, and smartphones. Each subfield is equipped with a development set and a test set for evaluating translation quality. FGraDA does not use in-domain bilingual training data, but instead provides bilingual lexicons and Wikipedia knowledge bases to simulate fast and cost-effective data acquisition demands in real-world scenarios. The application fields of this dataset include providing translation services for specific international conferences and solving the problem of limited data resources in specific domains.