In-house medical translation test datasets
收藏arXiv2025-09-30 收录
下载链接:
https://github.com/ai-amplified/models/tree/main/medical_translation/test_data
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资源简介:
该数据集是由科学文章、合成的临床文档以及医学文本汇编而成的自定义平行语料库,旨在评估翻译模型。该数据集专为严格评估医学翻译模型而设计,使用了包括BLEU、METEOR、ROUGE和BERT分数在内的多种评价指标。它解决了医学翻译领域对高质量、特定领域数据集的需求。该任务专注于医学翻译评估。
This dataset is a custom parallel corpus compiled from scientific articles, synthetic clinical documents, and medical texts, built for translation model evaluation. Specifically tailored for rigorous assessment of medical translation models, it leverages multiple standard evaluation metrics including BLEU, METEOR, ROUGE, and BERT scores. This dataset addresses the critical demand for high-quality, domain-specific datasets in the medical translation field. The task focuses on medical translation evaluation.
提供机构:
AI Amplified



