Dataset Card for WikiSection (en_city, en_disease) Dataset

The WikiSection dataset is a collection of segmented Wikipedia articles related to cities and diseases, structured in this repository for a sentence-level document segmentation task.

Dataset Overview

WikiSection contains two English subsets:

• en_city: 19.5k Wikipedia articles about cities and city-related topics.
• en_disease: 3.6k articles on diseases and health-related scientific information.

Each subset provides segmented articles, where the task is to classify sentence boundaries as either "semantic-continuity" or "semantic-shift."

Features

The dataset provides the following features:

• id: string - A unique identifier for each document.
• title: string - The title of the document.
• ids: list[string] - The sentence ids within the document
• sentences: list[string] - The sentences within the document.
• titles_mask: list[uint8] - A binary mask to indicate which sentences are titles.
• labels: list[int] - Binary labels for each sentence, where 0 represents "semantic-continuity" and 1 represents "semantic-shift."

Usage

The dataset can be easily loaded using the HuggingFace datasets library:

from datasets import load_dataset

# en_city
titled_en_city = load_dataset('saeedabc/wikisection', 'en_city', trust_remote_code=True)

untitled_en_city = load_dataset('saeedabc/wikisection', 'en_city', drop_titles=True, trust_remote_code=True)

# en_disease
titled_en_disease = load_dataset('saeedabc/wikisection', 'en_disease', trust_remote_code=True)

untitled_en_disease = load_dataset('saeedabc/wikisection', 'en_disease', drop_titles=True, trust_remote_code=True)

Dataset Details

• Homepage: WikiSection on GitHub