README.md

metadata

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.