BASF-AI/WikipediaMedium2ComputationalVsSpectroscopistsClassification

--- dataset_info: features: - name: text dtype: string - name: label dtype: int64 - name: label_text dtype: string splits: - name: train num_bytes: 977146 num_examples: 880 - name: test num_bytes: 222910 num_examples: 221 download_size: 712748 dataset_size: 1200056 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* license: cc-by-nc-sa-4.0 task_categories: - text-classification language: - en tags: - chemistry - wikipedia - chemteb size_categories: - 1K<n<10K pretty_name: Wikipedia Computational Chemists vs Spectroscopists Binary Classification --- # Wikipedia Computational Chemists vs Spectroscopists Binary Classification This dataset is derived from the English Wikipedia articles and is designed for binary text classification tasks in the fields of computational chemistry and spectroscopy. The dataset is divided into two classes based on the professional focus of the articles: - **Computational Chemists:** This class includes articles that focus on computational chemists, who use computer simulations and theoretical methods to solve chemical problems. Topics may cover the development and application of computational techniques, molecular modeling, quantum chemistry, and the role of computational chemists in research and industry. - **Spectroscopists:** This class comprises articles related to spectroscopists, who specialize in the study of the interaction between matter and electromagnetic radiation. Topics may include various spectroscopic techniques such as NMR, IR, UV-Vis, and mass spectrometry, as well as the applications of spectroscopy in chemical analysis, material science, and other fields.