Annotated Wet Lab Protocol Corpus

Annotated Wet Lab Protocol Corpus是由俄亥俄州立大学计算机科学与工程系创建的一个包含622个湿实验室协议的标注数据集。该数据集旨在通过提供机器可读格式的协议，促进生物研究的自动化和错误避免。数据集内容涵盖了分子生物学、微生物学等多个领域，通过详细的步骤描述和结果说明，支持机器学习方法在浅层语义解析中的应用。创建过程中，研究团队通过多轮迭代和专家标注，确保了数据集的质量和可用性。该数据集的应用领域包括生物学和生命科学，特别是在提高实验可重复性和实现机器人自动化方面具有重要价值。

The Annotated Wet Lab Protocol Corpus is an annotated dataset containing 622 wet lab protocols, developed by the Department of Computer Science and Engineering at The Ohio State University. This dataset aims to facilitate automation and error prevention in biological research by providing protocols in machine-readable format. Covering multiple disciplines including molecular biology, microbiology and other related fields, the dataset supports the application of machine learning methods in shallow semantic parsing through detailed stepwise descriptions and result explanations. During the creation process, the research team ensured the dataset's quality and usability via multiple iterative rounds of expert annotation. The dataset has applications in biology and life sciences, and holds significant value particularly for improving experimental reproducibility and enabling robotic automation.