Loading datasets using Python: $ pip install datasets from datasets import load_dataset dataset = load_dataset(NAME OF DATASET) List of datasets for machine-learning...

These datasets are used in machine learning (ML) research and have been cited in peer-reviewed academic journals. Datasets are an integral part of the...

Google Dataset Search is a search engine from Google that helps researchers locate online data that is freely available for use. The company launched...

The Pile is an 886.03 GB diverse, open-source dataset of English text created as a training dataset for large language models (LLMs). It was constructed...

index of democracy and dictatorship or simply the DD index or the DD datasets was the binary measure of democracy and dictatorship whose publication...

followed by the Dataset API. In Spark 1.x, the RDD was the primary application programming interface (API), but as of Spark 2.x use of the Dataset API is encouraged...

EPSG Geodetic Parameter Dataset (also EPSG registry) is a public registry of geodetic datums, spatial reference systems, Earth ellipsoids, coordinate...

The Worldwide Atrocities Dataset is a dataset collected by the Computational Event Data System at Pennsylvania State University and sponsored by the Political...

This is a list of datasets for machine learning research. It is part of the list of datasets for machine-learning research. These datasets consist primarily...

original datasets. The creators felt that since NIST's training dataset was taken from American Census Bureau employees, while the testing dataset was taken...

The National Hydrography Dataset (NHD) is a digital database of surface water features used to make maps. It contains features such as lakes, ponds, streams...

database ReAnalysis) is a global oceanographic temperature and salinity dataset produced and maintained by the French institute IFREMER. Most of those...

of widespread internet access, researchers began compiling massive text datasets from the web ("web as corpus") to train statistical language models. Following...

The National Elevation Dataset (NED) consists of high precision topography or ground surface elevation data (digital elevation model) for the United States...

The UAH satellite temperature dataset, developed at the University of Alabama in Huntsville, infers the temperature of various atmospheric layers from...

A national lidar dataset refers to a high-resolution lidar dataset comprising most—and ideally all—of a nation's terrain. Datasets of this type typically...

method of measuring how many different types (e.g. species) there are in a dataset (e.g. a community). Diversity indices are statistical representations of...

high-profile datasets that describe qualities of different governments, annually published and publicly available for free. These datasets are used by...

coordinating efforts across multiple agencies towards a National LIDAR Dataset. The first meeting, a National LIDAR Initiative Strategy Meeting, was held...

Interlinked Datasets (VoID) is an RDF vocabulary, and a set of instructions, that enables the discovery and usage of linked data sets. A linked dataset is a...

a sheep if located on a grassland. Statistical classification List of datasets for machine learning research Hierarchical classification Ron Kohavi; Foster...

or tagging relevant metadata within a dataset to enable machines to interpret the data accurately. The dataset can take various forms, including images...

a property of a statistic computed on a sample dataset in relation to a parametric model of the dataset. It is opposed to the concept of an ancillary statistic...

The European Climate Assessment and Dataset (ECA&D) is a database of daily meteorological station observations across Europe and is gradually being extended...

The iris data set is widely used as a beginner's dataset for machine learning purposes. The dataset is included in R base and Python in the machine learning...

problem, a model is usually given a dataset of known data on which training is run (training dataset), and a dataset of unknown data (or first seen data)...

COVID-19 datasets are public databases for sharing case data and medical information related to the COVID-19 pandemic. Johns Hopkins Coronavirus Resource...

Thus the mean s ( i ) {\displaystyle s(i)} over all data of the entire dataset is a measure of how appropriately the data have been clustered. If there...

the dataset. The algorithm is most effective when the underlying dataset is imbalanced. It exploits the structures of conditional imbalanced datasets more...

allowed for that attribute. An example of random partitioning in a 2D dataset of normally distributed points is shown in the first figure for a non-anomalous...