README.md

---
dataset_info:
  features:
  - name: text
    dtype: string
  - name: label
    dtype: int64
  - name: label_text
    dtype: string
  splits:
  - name: train
    num_bytes: 1409137
    num_examples: 1160
  - name: test
    num_bytes: 319588
    num_examples: 291
  download_size: 965274
  dataset_size: 1728725
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
pretty_name: Wikipedia Crystallography vs Analytical Chemistry Binary Classification
size_categories:
- 1K<n<10K
---
# Wikipedia Crystallography vs Analytical Chemistry Binary Classification
This dataset is derived from the English Wikipedia articles and is designed for binary text classification tasks in the fields of crystallography and analytical chemistry. The dataset is divided into two classes based on the thematic content of the articles:

- **Crystallography:** This class includes articles that focus on crystallography, the study of crystal structures and their properties. Topics may cover methods for determining crystal structures, the principles of X-ray diffraction, and the applications of crystallography in fields such as materials science, chemistry, and biology.

- **Analytical Chemistry:** This class comprises articles related to various techniques in analytical chemistry, including:
  - **Chromatography:** Articles discussing techniques for separating mixtures into their individual components, such as gas chromatography (GC) and liquid chromatography (LC).
  - **Titration:** Articles covering methods for determining the concentration of a substance in a solution by adding a reagent of known concentration until a reaction is complete.
  - **pH Indicators:** Articles about substances that change color based on the pH level of the solution they are in, used to measure acidity or alkalinity.