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Explore Datasets for Machine Learning
Iris flower dataset
The Iris flower data set or Fisher's Iris data set is a multivariate data set introduced by the British statistician, eugenicist, and biologist Ronald Fisher in his 1936 paper The use of multiple measurements in taxonomic problems as an example of linear discriminant analysis.
- Type: Multivariate
- Task: Classification
- Attributes: Real
- Year: 1988
YouTube Trending Video Dataset (updated daily)
YouTube maintains a list of the top trending videos on the platform. According to Variety magazine, “To determine the year’s top-trending videos, YouTube uses a combination of factors including measuring users interactions (number of views, shares, comments and likes). Note that they’re not the most-viewed videos overall for the calendar year
- Type: Multivariate
- Task: Classification, Regression, Clustering
- Attributes: Real
- Year: 2021
All Space Missions from 1957
This Dataset contains informations regarding space missions since the beginning of them (1957). This Datasets contains 9 Column (String : 6, Integer : 2, Decimal : 1) This DataSet was scraped from https://nextspaceflight.com/launches/past/?page=1 and includes all the space missions since the beginning of Space Race (1957)
- Type: Multivariate
- Task: Classification, Clustering, Causal-Discovery
- Attributes: Real
- Year: 2020
Google Audio Dataset
AudioSet consists of an expanding ontology of 632 audio event classes and a collection of 2,084,320 human-labeled 10-second sound clips drawn from YouTube videos. The ontology is specified as a hierarchical graph of event categories.
- Type: Multivariate
- Task: Relational-Learning
- Attributes: Real
- Year: 2017
Covid-19 Case Surveillance Public Use Dataset
The COVID-19 case surveillance system database includes individual-level data reported to U.S. states and autonomous reporting entities, including New York City and the District of Columbia (D.C.), as well as U.S. territories and states. On April 5, 2020,
- Type: Multivariate, Data-Generator
- Task: Relational-Learning
- Attributes: Real
- Year: 2020
Artificial Characters Dataset
This database has been artificially generated by using a first order theory which describes the structure of ten capital letters of the English alphabet and a random choice theorem prover which accounts for etherogeneity in the instances.
- Type: Multivariate
- Task: Classification
- Attributes: Categorical, Integer, Real
- Year: 1992
Mobile Robots Dataset
The Mobile Robots dataset, published in 1995, contains sensor data from a mobile robot for classification tasks. It includes categorical, integer, and real attributes with no missing values. The dataset is used for learning concepts from robotic sensor data and was contributed by researchers from the University of Dortmund, Germany.
- Type: Domain-Theory
- Task: Classification
- Attributes: Categorical, Integer, Real
- Year: 1995
Safety Helmet Detection
Improve work safety by detecting the presence of people and safety helmets. To import a dataset, install MakeML. You can train an Object Detection neural network in a few clicks using this dataset.
- Type: Image
- Task: Classification, Regression, Clustering
- Attributes: Real
- Year: 2020
OSIC Pulmonary Fibrosis Progression Dataset
The Open Source Imaging Consortium (OSIC) is proud to partner with Kaggle to host the first-ever computational challenge for interstitial lung diseases: The OSIC Pulmonary Fibrosis Progression Challenge. A $55,000 prize will be offered to the Kaggle investigator(s) who devises the highest performing algorithm.
- Type: Image
- Task: Classification, Regression, Clustering
- Attributes: Real
- Year: 2019
Amazon Product Reviews Dataset
Amazon Review Data (2018) is a large-scale dataset containing over 233 million customer reviews from Amazon products between 1996 and 2018. It includes detailed review information such as ratings, review text, helpfulness votes, and timestamps, along with rich product metadata like brand, price, category, and images. This dataset supports various tasks in natural language processing, sentiment analysis, and recommendation systems.
- Type: Real
- Task: Classification,Regression
- Attributes: Multivariate, Sequential, Temporal aspect
- Year: 2018
US Election 2020
The US Election 2020 dataset contains 864 instances and 52 attributes, focusing on the presidential race at the county level. It includes real-valued multivariate data for classification and regression tasks, with no missing values. The dataset provides insights into voting patterns and election trends across the U.S.
- Type: Multivariate
- Task: Classification, Regression
- Attributes: Real
- Year: 2020
Awesome-ChatGPT-Prompts
The Awesome-ChatGPT-Prompts dataset is a community-curated collection of high-quality prompts for ChatGPT and other large language models. It includes diverse prompt templates—from technical tasks like acting as a Linux terminal or Python interpreter to creative roles like storyteller or teacher—helping users explore, reuse, and improve prompt engineering practices. The dataset is open-source under CC0, making it freely available for research, development, and practical applications.
- Type: Real, Data-Generator
- Task: Learning Prompt
- Attributes: String
- Year: 2025
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This blog explores time series analysis on Air Passenger Data, covering trend decomposition, stationarity testing, ARIMA forecasting, and anomaly detection. Follow a step-by-step guide with Python code to gain insights into historical data trends and make future predictions. Read More »
Looking for high-quality datasets for your machine learning and data science projects? Here’s a list of 16+ top websites where you can find free datasets on various topics! Read More »
In This Post We Will see Goverment Dataset from 50 Countries for Machine Learning Training and Everything is free of Cost and Downloadable. Read More »
In This post we share top Datasets for Speech Recognition. Speech emotion analysis is an important task which further enables several application use cases. Due to the widespread use of smartphones, Read More »
If you are Beginner or Professional doesn't matter practice make you perfect so we are back with top 10 dataset for Natural Language Processing for Beginner and Professional. Read More »
If you are a machine learning beginner and looking to finally get started using Python, In this Post you see some top Datasets for beginners level. Read More »