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---
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language:
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- en
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license: mit
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annotations_creators:
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- no-annotation
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language_creators:
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- found
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pretty_name: Medium Articles Dataset
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size_categories:
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- n>1K
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source_datasets:
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- original
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task_categories:
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- text-classification
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- text-generation
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task_ids:
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- topic-classification
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- language-modeling
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tags:
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- medium
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- articles
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- blog-posts
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dataset_info:
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features:
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- name: text
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dtype: string
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- name: title
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dtype: string
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- name: url
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dtype: string
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---
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# Medium Articles Dataset
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## Dataset Description
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### Dataset Summary
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This dataset is a comprehensive collection of Medium articles, combining and normalizing data from multiple sources on both Kaggle and Hugging Face. A key feature is that all entries in the `text` column are unique - there are no duplicate articles in the final dataset.
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### Languages
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The dataset primarily contains articles in English.
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### Dataset Structure
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The dataset is provided in Parquet format with unique entries in the text column.
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### Data Fields
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- `text`: The main content of the article (unique across the dataset)
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- `title`: The title of the article (if available in source dataset)
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- `url`: URL of the original article (if available in source dataset)
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- Additional fields may vary based on source datasets
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### Dataset Creation
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This dataset was created by combining and normalizing multiple existing datasets from Kaggle and Hugging Face. The process includes:
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1. Downloading source datasets
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2. Normalizing data format
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3. Removing duplicate articles based on text content
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4. Handling missing values
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5. Converting to Parquet format
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### Source Data
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#### Kaggle Sources:
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- aiswaryaramachandran/medium-articles-with-content
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- hsankesara/medium-articles
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- meruvulikith/1300-towards-datascience-medium-articles-dataset
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#### Hugging Face Sources:
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- fabiochiu/medium-articles
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- Falah/medium_articles_posts
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### Licensing Information
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This dataset is released under MIT License.
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### Citation Information
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If you use this dataset in your research, please cite:
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```bibtex
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@dataset{medium_articles_2025,
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author = {Alaamer},
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title = {Medium Articles Dataset},
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year = {2025},
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publisher = {Hugging Face},
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journal = {Hugging Face Data Repository},
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howpublished = {\url{https://huggingface.co/datasets/Alaamer/medium-articles-posts-with-content}}
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}
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```
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### Contributions
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Thanks to all the original dataset creators and contributors. Contributions are welcome via pull requests.
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