Ashfaq2000/machine-learning-wikipedia-dataset
Machine Learning Wikipedia Dataset Dataset Description This dataset contains 50 curated Wikipedia articles related to the Machine Learning niche, including core concepts, key algorithms, conferences, and tools within the field. Each record includes the article title, source URL, a summary, full text content, Wikipedia categories, outbound references, and associated images. Dataset Structure Each line in the .jsonl file is a JSON object with the… See the full description on the dataset page: https://huggingface.co/datasets/Ashfaq2000/machine-learning-wikipedia-dataset.
Machine Learning Wikipedia Dataset
Dataset Description
This dataset contains 50 curated Wikipedia articles related to the Machine Learning niche, including core concepts, key algorithms, conferences, and tools within the field.
Each record includes the article title, source URL, a summary, full text content, Wikipedia categories, outbound references, and associated images.
Dataset Structure
Each line in the .jsonl file is a JSON object with the following fields:
Example record
{
"title": "Adversarial machine learning",
"url": "https://en.wikipedia.org/wiki/Adversarial_machine_learning",
"summary": "Adversarial machine learning is the study of the attacks on machine learning algorithms...",
"content": "...",
"categories": ["..."],
"references": ["..."],
"images": [],
"sub_niche": "Adversarial machine learning"
}Source and Licensing
All content is sourced from Wikipedia and is distributed under the CC-BY-SA 4.0 license. Attribution to Wikipedia and its contributors is required for any reuse or redistribution, and derivative works must be shared under the same license.
Intended Use
This dataset is intended for:
- Fine-tuning or evaluating language models on machine learning topics
- Building educational tools (quizzes, flashcards, glossaries)
- Knowledge graph and RAG (retrieval-augmented generation) experiments
- NLP research and coursework
Limitations
- Article distribution across sub-topics is uneven (some sub-topics have more articles than others).
- Content reflects Wikipedia at the time of collection and may not include the latest edits.
