metadata

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.