Dark Mode
AI/ML Content Trends Dataset
Education & Learning Analytics
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
This dataset provides a curated collection of article metadata from Towards Data Science (TDS), a prominent publication in the field of Artificial Intelligence. It encompasses articles published from 2018 through to 2021, offering insights into various AI-related topics, hands-on project expertise, discussions on frameworks and technologies, and the theoretical underpinnings of numerous algorithms. The dataset's purpose is to enable users to apply diverse analytical techniques, such as topic modelling, to understand trends in AI content over time. It serves as a valuable resource for anyone looking to make sense of publishing patterns in data science or explore specific themes prevalent in the AI domain.
Columns
- title: The headline or main title of the TDS article.
- tagline: A concise summary or short description outlining what a reader can expect from the article.
- url: The web address leading directly to the full article on the Towards Data Science platform.
- date: The specific publication date of the article.
Distribution
The dataset is typically provided in a CSV file format, with each row representing the metadata for a single Towards Data Science article. It includes approximately 30,665 unique article entries. The collection spans from 1st January 2018 to 28th December 2021, detailing publication counts across various time intervals within this period.
Usage
This dataset is ideally suited for a variety of analytical and data wrangling applications. Potential use cases include:
- Performing topic modelling to identify dominant themes and subjects in AI and data science content.
- Analysing publication trends to determine the most frequently published article types or topics.
- Investigating the evolution of topics within specific years or months.
- Enriching the data programmatically by using the article URLs to gather additional information.
- Supporting academic research into the dissemination of AI knowledge.
Coverage
The dataset's coverage is global, encompassing article metadata from the Towards Data Science publication from January 2018 to December 2021. It aims to include nearly every article published within this four-year period, providing a broad overview of AI-related content during this timeframe. There are no specific demographic limitations noted for the data itself, as it focuses on publication metadata rather than personal information.
License
CC0
Who Can Use It
This dataset is particularly useful for Data Scientists, Machine Learning engineers, AI researchers, and students who are interested in the landscape of AI and data science publications. It can also benefit content strategists or anyone looking to understand trends in technical writing. Users can leverage this data to gain insights into popular AI topics, analyse content strategies, or develop their data wrangling and analytical skills.
Dataset Name Suggestions
- Towards Data Science Article Metadata (2018-2021)
- TDS Publication Archive
- AI/ML Content Trends Dataset
- Data Science Article Repository
- TDS Articles 2018-2021
Attributes
Original Data Source: Towards Data Science
QUALITY