README.md

---
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.