README.md

---
dataset_info:
  features:
  - name: text
    dtype: string
  - name: label
    dtype: int64
  - name: label_text
    dtype: string
  splits:
  - name: train
    num_bytes: 858703
    num_examples: 1049
  - name: test
    num_bytes: 226730
    num_examples: 263
  download_size: 617193
  dataset_size: 1085433
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 Organic vs Inorganic Chemistry Binary Classification
size_categories:
- 1K<n<10K
---
# Wikipedia Organic vs Inorganic Chemistry Binary Classification
This dataset is derived from the English Wikipedia articles and is designed for binary text classification tasks in the field of chemistry. The dataset is divided into two classes based on the type of chemical reactions and compounds discussed in the articles:
- **Organic Reactions:** this class involve chemical processes that occur within organic compounds, which typically contain carbon-hydrogen bonds. These reactions are fundamental to organic chemistry and include a wide range of mechanisms and transformations.

- **Inorganic Reactions and Compounds:** this class is divided into two subcategories:

  - **Inorganic Reactions:** These articles cover chemical reactions involving inorganic compounds, which generally do not contain carbon-hydrogen bonds. Inorganic reactions are crucial to understanding the behavior and properties of minerals, metals, and other non-organic substances.
  - **Inorganic Compounds:** These articles focus on the properties, synthesis, and applications of inorganic compounds, which include salts, metals, and minerals.