When working on a data-driven project, finding reliable and high-quality datasets is essential. Fortunately, there are several free resources available that provide access to a wide range of datasets in various fields.
However, please pay attention to data quality, documentation, and any licensing restrictions associated with each data set. This article will explore five free dataset resources that you can use for your next project.
Kaggle is a popular platform for data scientists and machine learning enthusiasts. It offers a large selection of open access datasets in addition to hosting machine learning competitions. The databases cover a wide range of subjects, including the social sciences, health care and finance. The community-driven methodology used by Kaggle ensures that datasets are regularly updated and maintained.
The new Kaggle hoodie arrived on time! @kaggle has launched a very interesting big language model contest which aims to answer science based MCQs using LM (big)
I’m going to end my Kaggle break for this one
It’s the perfect problem for anyone to overload their learning! pic.twitter.com/eMKeOnUBZ8
— Sanyam Bhutani (@bhutanisanyam1) July 16, 2023
UCI Machine Learning Repository
The University of California, Irvine’s UCI Machine Learning Repository is a comprehensive collection of datasets frequently used in the machine learning community. It provides datasets for many different types of tasks, such as classification, regression, and clustering. Each dataset in the repository has a complete description, a list of attributes, and instructions for preprocessing the data.
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Google Dataset Search
A search engine called Google Dataset Search is dedicated to helping users discover publicly accessible datasets. It indexes a large selection of datasets from many different sources, such as government websites, academic organizations and data repositories. Keyword searches, file type and licensing filters, relevant metadata, and download links are all available when searching for datasets.
The team was developing the cancer detection system using Tensorflow in #Megahack Hackathon. Confused about datasets, encouraged them to use Google Data Search. #TensorFlow@JeffDean @ialimustufa @ericsk @ksoonson @DynamicWebPaige pic.twitter.com/EKmeQshcc2
— Shubham (@ishubhamsah) January 29, 2020
Data.gov is the official open data portal of the United States government. It provides access to a large database of datasets from multiple federal agencies on a variety of topics, including health, environment, education, transportation, and more. The datasets made available by Data.gov are often used for analysis, research, and the creation of data-driven applications. The platform promotes the use of public data for good and protects transparency.
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OpenML is a platform that encourages collaboration and offers a variety of datasets and machine learning challenges. Users can compare and replicate machine learning experiments, as well as explore, download and donate datasets. OpenML promotes the sharing of datasets, code, and results by emphasizing the importance of reproducibility in machine learning research.