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.