Wikipedia Encyclopedia Dataset

Wikipedia Encyclopedia
Dataset

Wikipedia is the largest online encyclopedia in the world, covering over 61 million articles in more than 300 languages. This dataset provides the complete Wikipedia article text that has been cleaned and structured, serving as a foundational resource for natural language processing research, knowledge extraction, and language model pre-training.

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61 million+ articles 300+ languages CC BY-SA 3.0 license Updated monthly
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61.6M+
Total articles
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300+
Supported languages
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CC BY-SA 3.0
Open license
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Monthly
Data update frequency

Dataset Highlights

The world's largest open knowledge base, providing a solid foundation for AI and NLP research

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Massive Scale

Over 61.6 million articles covering all areas of human knowledge, from science and technology to history and culture, nothing is left out.

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Multilingual Support

Supports over 300 languages, with cross-language alignment capabilities, making it an ideal data source for multilingual NLP research.

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Structured Content

Articles contain structured elements such as chapters, categories, information boxes, and wiki links, facilitating information extraction and knowledge graph construction.

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Regular Updates

Monthly releases of the latest snapshots reflect the most recent content changes in Wikipedia, ensuring data timeliness.

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Community Maintenance

Millions of volunteer editors collaboratively maintain content quality and accuracy, through continuous peer review and verification.

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Rich Metadata

Includes rich metadata information such as classification systems, references, editing history, and entity links.

Applicable Scenarios

From language model training to knowledge graph construction, widely empowering AI research

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Language Model Pre-training

The core training data source for large language models like GPT, BERT, LLaMA

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Knowledge Graph Construction

Extract structured facts and entity relationships to build domain knowledge graphs

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Question Answering Systems

Using Wikipedia as a knowledge source to build open-domain question answering systems

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Multilingual NLP

A multilingual corpus for cross-language transfer learning and machine translation research

NLP knowledge multilingual encyclopedia text

Quick Start with Wikipedia Dataset

Quickly access Wikipedia dataset content via API

PYTHON
import requests
url = "https://api.acedata.cloud/datasets/wikipedia"
headers = {
    "Authorization": "Bearer YOUR_API_TOKEN",
    "Content-Type": "application/json"
}
params = {
    "language": "en",
    "limit": 10
}
response = requests.get(url, headers=headers, params=params)
data = response.json()
# Print article titles
for article in data.get("articles", []):
    print(f"Title: {article['title']}")
    print(f"Length: {len(article['text'])} chars")
    print("---")

3 Steps to Get Started Quickly

Start using the Wikipedia dataset in minutes

01

Register an Account

Register for an Ace Data Cloud platform account at platform.acedata.cloud and complete the registration process quickly.

02

Get API Key

Create an API Key in the console for authentication and dataset access authorization.

03

Call the Dataset API

Use the programming language you are familiar with to call the API and start retrieving and analyzing Wikipedia data.

Get Dataset

Start Exploring Wikipedia Encyclopedia Data

The world's largest open knowledge base, with over 61 million articles in 300+ languages, providing strong data support for your AI and NLP projects.

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