BASF-AI/WikipediaEasy2GeneExpressionVsMetallurgyClassification

--- dataset_info: features: - name: text dtype: string - name: label dtype: int64 - name: label_text dtype: string splits: - name: train num_bytes: 5256761 num_examples: 4592 - name: test num_bytes: 1259388 num_examples: 1149 download_size: 3765929 dataset_size: 6516149 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* task_categories: - text-classification language: - en tags: - chemistry - wikipedia - chemteb pretty_name: >- Wikipedia Biological Processes vs Metallurgical Chemistry Binary Classification size_categories: - 1K<n<10K license: cc-by-nc-sa-4.0 --- # Wikipedia Biological Processes vs Metallurgical Chemistry Binary Classification This dataset is derived from the English Wikipedia articles and is designed for binary text classification tasks in the fields of biology and metallurgy. The dataset is divided into two classes based on the thematic content of the articles: - **Biological Processes**: This class includes articles related to: - **Gene Expression:** Articles that discuss the process by which information from a gene is used in the synthesis of a functional gene product, such as proteins. This process is fundamental to understanding how genes control the structure and function of cells. - **Signal Transduction:** Articles that cover the mechanisms by which cells respond to external signals. This involves a series of molecular events, including the activation of receptors and intracellular signaling pathways, which ultimately lead to a cellular response. - **Metallurgy:** This class comprises articles focused on metallurgy, the branch of chemistry that deals with the properties, behavior, and processing of metals. Topics may include the extraction of metals from ores, the development of metal alloys, and the study of metal properties and applications.