Get a quote for an end-to-end data solution to your specific requirements. Second, keep in mind that datasets with fewer rows and columns take less time in general while also being easier to work with. When mastering machine learning, practicing with different datasets is a great place to start.
Luckily, finding them is easy. Kaggle : This data science site contains a diverse set of compelling, independently-contributed datasets for machine learning. Users can also download the data without needing to register. Google Dataset Search : Dataset Search contains over 25 million datasets from all across the web.
The shopping juggernaut brings their trademark resourcefulness to the dataset searching game. One key perk that differentiates AWS Open Data Registry is its user feedback feature, which allows users to add and modify datasets. Experience with AWS is also highly preferred in the job marketplace. Wikipedia ML Datasets : This Wikipedia page features diverse datasets for machine learning including signal, image, sound, and text, to name a few.
ML models trained via public government data can empower policymakers to recognize and anticipate trends that inform preemptive policy decisions. EU Open Data Portal : This open data portal offers over a million datasets across 36 european countries published by reputable EU institutions. The site has an easy-to-use interface that allows you to search for specific datasets across a variety of categories including Energy, Sports, Science, and Economics.
The data is diverse, ranging from budgetary data to school performance scores. The information often requires additional research, which is something to keep in mind. School System Finances : A fabulous repository for anyone interested in education finance data such as revenues, expenditures, debt, and assets of elementary and secondary public school systems. The statistics on this site also cover school systems across the United States, including the District of Columbia.
The US National Center for Education Statistics : This repository contains information on educational institutions and demographics from not just the United States, but also around the world. Naturally the financial sector is embracing Machine Learning with open arms. As financial and economic quantitative records are typically kept meticulously, finance and economics are a great topic to roll out an AI or ML model atop of. Machine learning is also being used in the field of economics for things like testing economic models, or analyzing and predicting the behavior of populations.
Quandl : Another great source for economic and financial data particularly for building predictive models around stocks and economic indicators. IMF Data : The International Monetary Fund keeps track and meticulously maintains records around foreign exchange reserves, investment outcomes, commodity prices, debt rates, and international finances.
Financial Times Market Data : Great for current information around commodities, foreign exchanges, and other worldwide financial markets. A large collection of reviews on cars and hotels collected from Tripadvisor and Edmunds. It has nearly An updated version of an Amazon review dataset from It contains A dataset published on Kaggle.
It contains both positive and negative sentiment lexicons for 81 languages. The sentiments were built based on English sentiment lexicons. A collection of , Jeopardy questions quiz show , answers, and other data available for download in JSON format. A collection of 20, documents from over 20 different newsgroups. The content covers a variety of topics with some closely related for reference.
There are three versions available: original, sorted by dates, and with removed duplicates. This dataset is commonly used for experiments in text applications of machine learning techniques, such as text classification and text clustering. A superb source of data for training automatic text summarization.
A rich dataset containing question and sentence pairs collected and annotated for research on open-domain question answering. It comes with over questions and over 29, answer sentences with just under labeled as answer sentences. A high-quality open source and multi-language dataset of voices for training speech-enabled technologies. The project is led by volunteers who record sample sentences with a microphone and review recordings of other users.
A rich dataset with manually annotated audio events. It contains audio event classes and a collection of 2,, human-labeled second sound clips drawn from YouTube videos.
A quality dataset of approximately hours of read English speech, derived from audiobooks. All the audio data has been carefully segmented and aligned. A volunteer-driven corpus of aligned Spoken Wikipedia including hundreds of articles from the English, German, and Dutch Wikipedia.
The advantages of this data source come down to a diverse set of readers and topics. All annotations can be mapped back to the original html. An open speech dataset that was set up to collect transcribed speech in languages like English, German, Italian, Portuguese or Spanish. A dataset for music analysis. It contains full-length and HQ audio, pre-computed features, and track and user-level metadata. The audio data comes from , tracks from 16, artists and 14, albums, arranged in a hierarchical taxonomy of genres.
A music dataset with information on ballroom dancing online lessons, etc. Some characteristic excerpts of many dance styles are provided in real audio format. The total number of instances is with a duration of around 30 seconds. To successfully complete your data visualization projects, you need clean and well-organized data that could be logically presented on a graph or a chart.
A platform that focuses on opinion poll analysis, politics, economics, and sports blogging. It hosts interactive articles backed by curated datasets.
They publish their datasets via their Github repository. Popular news website that evolved from low-quality clickbait writing to research-driven and high-quality data journalism. Buzzfeed makes their datasets publicly available on Github. An independent, non-profit newsroom focused on issues of public interest in the U. It offers both free and paid datasets which are well-maintained and regularly updated. The AI-First Stack. Industrial and Automotive. Join our team. Machine Learning.
Save time searching for quality training data for your machine learning projects, and explore our collection of the best free datasets. Alberto Rizzoli. Open dataset aggregators Public governments datasets Finance and economics datasets Computer vision datasets Natural language processing datasets Audio speech and music datasets Data visualization datasets.
Have you ever spent hours searching for a suitable dataset for your data science project? It can get pretty daunting, right? Use these category filters to find the datasets you are looking for in seconds: Open dataset aggregators Public governments datasets Finance and economics datasets Computer vision datasets Natural language processing datasets Audio speech and music datasets Data visualization datasets P. Related articles Announcements. Computer Vision. Ready to get started? Thank you, we will be in touch!
Terms Privacy Policy. Thank you! Your submission has been received! Wondering where to find free and open datasets for your next data project?
Look no further…. Not to worry. Fortunately, the Internet is awash with these, most of which are completely free to download thanks to the open data initiative. Type of data: Miscellaneous Data compiled by: Google Access: Free to search, but does include some fee-based search results Sample dataset: Global price of coffee, present.
It seems we turn to Google for everything these days, and data is no exception. Type of data: Miscellaneous Data compiled by: Kaggle Access: Free, but registration required Sample dataset: Daily temperature of major cities. Kaggle launched in with a number of machine learning competitions, which subsequently solved problems for the likes of NASA and Ford.
It has since evolved into a renowned open data platform, offering cloud-based collaboration for data scientists, as well as educational tools for teaching artificial intelligence and data analysis techniques …plus, of course, tonnes of great datasets covering almost any topic you can imagine.
In , the US Government made all its data publicly available. With over , datasets covering everything from climate change to crime, you can lose yourself in the database for hours.
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