README.md

---
annotations_creators:
- machine-generated
language_creators:
- found
language:
- en
license:
- mit
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- text-classification
- sentence-similarity
task_ids:
- semantic-similarity-classification
pretty_name: WikiSection (en_city, en_disease)
tags:
- text segmentation
- document segmentation
- topic segmentation
- topic shift detection
- semantic chunking
- chunking
- nlp
- wikipedia
dataset_info:
- config_name: en_city
  features:
  - name: id
    dtype: string
  - name: title
    dtype: string
  - name: ids
    sequence: string
  - name: sentences
    sequence: string
  - name: titles_mask
    sequence: uint8
  - name: labels
    sequence:
      class_label:
        names:
          '0': semantic-continuity
          '1': semantic-shift
  splits:
  - name: train
    num_bytes: 105236889
    num_examples: 13679
  - name: validation
    num_bytes: 15693016
    num_examples: 1953
  - name: test
    num_bytes: 31140798
    num_examples: 3907
  download_size: 94042594
  dataset_size: 152070703
- config_name: en_disease
  features:
  - name: id
    dtype: string
  - name: title
    dtype: string
  - name: ids
    sequence: string
  - name: sentences
    sequence: string
  - name: titles_mask
    sequence: uint8
  - name: labels
    sequence:
      class_label:
        names:
          '0': semantic-continuity
          '1': semantic-shift
  splits:
  - name: train
    num_bytes: 22409988
    num_examples: 2513
  - name: validation
    num_bytes: 3190201
    num_examples: 359
  - name: test
    num_bytes: 6088470
    num_examples: 718
  download_size: 94042594
  dataset_size: 31688659
---
# 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:

```python
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](https://github.com/sebastianarnold/WikiSection)