infinite-dataset-hub/TabularTextMining

TabularTextMining数据集是为了从表格格式的非结构化文本数据中提取结构化信息而设计的。它由来自不同文档或文本源的行组成，每一行代表一条数据记录。数据集中的列包括从文本中提取的各种属性，以及一个表示记录所属分类或类别的标签。该数据集可以用于训练机器学习模型进行自然语言处理任务，如命名实体识别、关系抽取或分类。

The TabularTextMining dataset is designed for the task of extracting structured information from unstructured text data found within tabular format. It comprises of rows from different documents or text sources, where each row represents a data record. The columns include various attributes extracted from the text, along with a label indicating the classification or category that the record belongs to based on the context of the text. This dataset can be used for training machine learning models on NLP tasks such as named entity recognition, relation extraction, or categorization.