Dataset with four years of condition monitoring technical language annotations from paper machine industries in northern Sweden

This dataset consists of four years of technical language annotations from two paper machines in northern Sweden, structured as a Pandas dataframe. The same data is also available as a semicolon-separated .csv file. The data consists of two columns, where the first column corresponds to annotation note contents, and the second column corresponds to annotation titles. The annotations are in Swedish, and processed so that all mentions of personal information are replaced with the string ‘egennamn’, meaning “personal name” in Swedish. Each row corresponds to one annotation with the corresponding title. Data can be accessed in Python with: import pandas as pd annotations_df = pd.read_pickle("Technical_Language_Annotations.pkl") annotation_contents = annotations_df['noteComment'] annotation_titles = annotations_df['title']本数据集收录瑞典北部两台造纸机的四年技术语言标注数据，以Pandas数据框（Pandas dataframe）格式进行组织。该数据集同时提供分号分隔的CSV文件版本。数据集包含两列数据：第一列为标注备注内容，第二列为标注标题。所有标注均采用瑞典语，且已完成脱敏处理：所有涉及个人信息的内容均被替换为字符串"egennamn"（该词在瑞典语中意为“姓名”）。每一行对应一条带有对应标题的标注数据。 可通过Python按如下方式读取该数据集： import pandas as pd annotations_df = pd.read_pickle("Technical_Language_Annotations.pkl") annotation_contents = annotations_df['noteComment'] annotation_titles = annotations_df['title']