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See our blog categories. 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. Prefer to watch this information over reading it?

Packs can be filtered by Genre, Vibe and Artist, and individual sounds can be filtered by type, genre, key, BPM and more. The company says that, in the future, it plans to accept user-submitted samples that will be included in the offering.

This is a modern curated collection, so efforts have been made to tag it from the start. Free music samples: download loops, hits and multis. SampleSwap is supported by donations, and many of the samples are uploaded by users. Because of this, the website cannot guarantee the rights status of every single one, although it does mention that most of the samples are royalty-free.

FreeSound is less a musical resource, and more a treasure trove of public-domain sound effects and real-world sources. The formats and quality of sounds are variable across the site - you might find a few WAVs that are clearly not full-quality - and you should be aware that, since this is an upload platform, the copyright status of the sounds cannot be guaranteed.

Samples: Nearly , Rights: Royalty-free samples, acapellas subject to rights. LooperMan caters for a huge number of loops and hits to use in your tunes, and counts its vocal samples in a separate acappella category.

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Home Collaborate Projects Files Tools. Dansk English Français Italiano Español. Log in Create new account. Collaborative Community. About this platform Conceptual Framework How to use this platform OpenSounds portal.

Editors' Picks Latest Projects Browse Projects Projects List. List of New Ideas Browse Tags. Who's online. There are currently 0 users online. Who's new. Mattia Cazzzaro Nicola Sengul Federico Ferronato Ester Caon Lorenzo Fantinato. Latest Updates. Leave 'Em Laughing. There are plenty of large datasets great for sentiment analysis and natural language processing NLP projects.

Data like movie reviews, tweets, Reddit comments, and more are all great for these types of projects. This take-home provides a dataset of human vs bot texts and asks you to build a classification model to correctly label the data. An interesting dataset for performing sentiment or text analysis, this features thousands of posts from the popular subreddit Vaccine Myths.

Explore thousands of hotel reviews from TripAdvisor and build semantic prediction or top clustering models. Another helpful medium source, this features headlines from nearly 20 years. With more than 40, reviews from three Disneyland locations, this is a great data source for performing sentiment analysis.

This dataset, which is a classic that was produced in , features star ratings for numerous Amazon products. The Stanford Sentiment Treebank contains more than 10, Rotten Tomatoes files and provides sentiment annotations on a point scale.

This dataset features thousands of airline reviews on X Formerly Twitter from February The data has already been classified as positive, negative, or neutral, and in some instances, includes a reason for the negative tweet.

Featuring 25, movie reviews, you can use this dataset for a binary classification project or to analyze movie review ratings by title. The VoxCeleb large-scale dataset features audio-visual data from 7, speakers.

There are about images in this dataset of people wearing facemasks. You can use this to build models to detect if someone is wearing a mask, not wearing a mask, or wearing a mask improperly. This rich visual-text dataset is loaded with helpful information.

Use the photos for object detection. A bonus: there are millions of keywords and metadata you can use for exploratory data analysis projects as well. Build a model to detect pathologies and see how well your model performs against radiologists.

There are thousands of images of Pokemon characters in this dataset. Use the data to build a prediction model to determine the type of Pokemon based on the image. This is one of the best datasets for performing object recognition tasks.

Featuring more than 20, photos of dogs, this is a useful dataset for building classification models or a dog breed image classifier project. Featuring more than 5, images with fine annotations, as well as 20, images with coarse annotations, this is one of the best datasets for understanding urban street scenes at the pixel level.

This is a smaller dataset, featuring images of 11 subjects. Similar to the MNIST handwritten text dataset, this image set includes a training set of 60, images of articles of clothing along with a test set of 10, images.

Pricing optimization is the most important lever for increasing revenue with data. Try to identify prices that maximize revenue for these different products and environments:.

Over 1 million transactions from an online retailer, including customer data, product data, and transaction data. Information on Airbnb listings in New York City, including listing prices and attributes such as location, number of bedrooms, and amenities.

Information on Uber pickups in New York City from to , including pickup times and locations. Information on over 53, diamonds, including their cut, color, clarity, and carat weight, as well as their price.

Weekly sales data for 45 Walmart stores across the US from to , including information on promotions, holidays, and weather conditions.

Table of contents. Datasets for Machine Learning. Datasets for Data Visualization. Datasets for Exploratory Data Analysis. Datasets for Natural Language Processing. Datasets for Computer Vision.

Datasets for Pricing Optimization. Overview Data science projects start with quality data. gov Find all of the U. FiveThirtyEight FiveThirtyEight might be best known for its data journalism.

world data. If you want to build a machine learning health project, this is the source to utilize Academic Torrents Academic Torrents is a database for large-scale datasets for research projects.

Data Is Plural Each week, Jeremy Singer-Vine compiles a newsletter of useful and curious datasets. io Datahub is a wonderful source for open data. Federal Bureau of Investigation Crime Data Explorer For open data related to crime and law enforcement, this is one of the best sources for U.

Datasets for Machine Learning Whether you want to work with predictions or classification, these datasets are both interesting and helpful for machine learning projects. DoorDash Machine Learning Take-Home This dataset, used in DoorDash data science take-homes, features user and transaction data and asks you to build a model to predict the time for deliveries.

Stroke Prediction Dataset Build a stroke prediction model with this handy dataset. Swish Analytics Take-Home Data The dataset used in this take-home contains all pitches from the MLB season and asks you to build a model to predict the probability of a type of pitch.

Divorce Predictors Dataset This dataset from the UCI Machine Learning Repository contains survey data from married couples. RiskLens Machine Learning Take-Home The data used in this take-home includes cyber security threats and events faced in the healthcare industry.

January Flight Delay Prediction Dataset With data from more than , flights in January and January , this data from the Bureau of Transportation is well suited for building a model for winter flight delays.

Mushroom Classification Dataset This classic dataset from UCI is a great source for a classification data science project. Credit Card Approval Prediction Dataset This is a great dataset for a financial prediction model.

Water Quality Dataset Use water quality metrics from nearly 4, bodies of water to predict whether the water is safe for consumption or not. New Yorker Caption Contest Dataset This dataset features ratings for submitted New Yorker caption contest entries. MovieLens Ratings Database There are numerous movie rating datasets available here, including one featuring 25 million ratings, making it a great source for building a recommendation engine.

San Francisco Restaurant Health Scores Data This open dataset covers health inspection scores for restaurants in San Francisco.

Capital Bikeshare Dataset This dataset is useful for demand forecasting projects. Cats vs Dogs Dataset With more than 20, images of cats and dogs, this is one of the best datasets for beginner image classification projects. MNIST Dataset The MNIST dataset is a large database of handwritten digits.

Iris Flower Dataset This popular dataset contains information about different types of iris flowers and their characteristics, such as petal length, petal width, and sepal length. Datasets for Data Visualization Build data visualization projects with these helpful datasets.

Supercell Data Analytics Take-home This dataset includes revenue and sales data from Supercell and asks you to create a visualization of a single aspect of the data that you find important. X Nodes Dataset Formerly Twitter With more than 11 million nodes and 85 million edges, this dataset is useful for building graphical relationship models of X users.

Hotel Booking Demand Data This is a great dataset for visualizing hotel bookings. How long is the optimal stay length to receive the best rate? Amazon Top 50 Bestselling Books Design visualizations that show top authors, best-selling titles, and review ratings for the best-selling books on Amazon.

Euro Exchange Rates This dataset is useful for Matplotlib visualizations. San Francisco Public Library Usage Data There are more than , records in this dataset, featuring daily circulation for the San Francisco library system.

Trending YouTube Videos Data This Kaggle dataset features daily trending video data from YouTube. World Unemployment Dataset This dataset features more than 31 years of unemployment for numerous countries around the world.

NYC Subway Entries and Exits Data This dataset originated on New York State Open Data and features information by station, line, location, etc. Datasets for Exploratory Data Analysis Say you want to take a big dataset and investigate.

Airbnb Analytics Take-Home This Airbnb dataset, which is part of a sample data analytics take-home, contains user information for bookings in Brazil.

Stripe Analytics Take-Home This Stripe dataset, which features product usage and marketing data, is perfect for diving into marketing and product analytics to determine how well a product is performing.

Superstore Sales Dataset Featuring 4 years of data from a superstore, this dataset is perfect for analyzing and identifying trends, as well as sales forecasting. Home Depot Product Analysis Take-Home This sample dataset from a Home Depot data science take-home can be used to produce a gross sales forecast for a new product launch.

Animal Shelter Analytics Data This is a great dataset for surfacing actionable insights for animal shelters, including what factors led to successful outcomes for the animals.

Website Crawling Data A sprawling dataset from Amazon, the Common Crawl corpus features crawling data from billions of websites. European Soccer Dataset This is a useful dataset for a sports analytics project. Open Food Data This large-scale dataset, which was originally developed in , features product information for more than , food items.

Uber Pickup Data for NYC This dataset features more than 20 million metrics on Uber pickups in NYC in and Marketing Analytics Dataset This dataset is a great source for a campaign budget optimization project or for diving into an exploratory data analysis for marketing analytics projects.

World Bank Dataset This dataset contains a wide range of economic and social indicators for countries around the world, including information about their GDP, population, and education levels. Data Science Salaries This dataset contains salaries for roles in the data science field for the year Datasets for Natural Language Processing There are plenty of large datasets great for sentiment analysis and natural language processing NLP projects.

Nielsen IQ NLP Take-Home This take-home provides a dataset of human vs bot texts and asks you to build a classification model to correctly label the data. Reddit Vaccine Myths Dataset An interesting dataset for performing sentiment or text analysis, this features thousands of posts from the popular subreddit Vaccine Myths.

TripAdvisor Hotel Reviews Explore thousands of hotel reviews from TripAdvisor and build semantic prediction or top clustering models. A Million News Headlines Another helpful medium source, this features headlines from nearly 20 years.

Disneyland Reviews Data With more than 40, reviews from three Disneyland locations, this is a great data source for performing sentiment analysis. Amazon Product Review Dataset This dataset, which is a classic that was produced in , features star ratings for numerous Amazon products.

Rotten Tomatoes Sentiment Dataset The Stanford Sentiment Treebank contains more than 10, Rotten Tomatoes files and provides sentiment annotations on a point scale.

Twitter Airline Sentiment Data This dataset features thousands of airline reviews on X Formerly Twitter from February IMDB Sentiment Dataset Featuring 25, movie reviews, you can use this dataset for a binary classification project or to analyze movie review ratings by title.

VoxCeleb Speech Corpus The VoxCeleb large-scale dataset features audio-visual data from 7, speakers. Face Mask Detection Database There are about images in this dataset of people wearing facemasks. Unsplash Open Library This rich visual-text dataset is loaded with helpful information.

Pokemon Images and Types There are thousands of images of Pokemon characters in this dataset. Stanford Dogs Dataset Featuring more than 20, photos of dogs, this is a useful dataset for building classification models or a dog breed image classifier project. Cityscapes Dataset Featuring more than 5, images with fine annotations, as well as 20, images with coarse annotations, this is one of the best datasets for understanding urban street scenes at the pixel level.

Yale Face Database This is a smaller dataset, featuring images of 11 subjects. Fashion MNIST Dataset Similar to the MNIST handwritten text dataset, this image set includes a training set of 60, images of articles of clothing along with a test set of 10, images.

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for the purpose of better understanding user preferences for targeted advertisments. um Third Party 1 year Set by addthis. Purpose not known uvc Third Party 1 year The cookie is set by addthis. com to determine the usage of Addthis. You can use this data to practice popular spreadsheet features including Pivot Table, Vlookups, Xlookups, Power Query automation, charts, and Dashboards.

If you would like to download this data instantly and for free, just click the download button below. The download will be in the form of a zipped file. zip and include both a Microsoft Excel. xlsx and CSV file version of the raw data. Hopefully, you were able to find 1 or more data sets that you can use for your spreadsheet project.

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