A data set (or dataset) is a collection of data. In the case of tabular data, a data set corresponds to one or more database tables, where every column...

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...

index of democracy and dictatorship or simply the DD index or the DD datasets was the binary measure of democracy and dictatorship first proposed by...

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...

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

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...

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...

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

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...

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

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

datasets that describe qualities of different governments, annually published and publicly available for free. These datasets are a popular dataset among...

80 Million Tiny Images is a dataset intended for training machine learning systems. It contains 79,302,017 32×32 pixel color images, scaled down from...

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

training dataset size, and training cost. In general, a neural model can be characterized by 4 parameters: size of the model, size of the training dataset, cost...

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)...

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...

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

became prevalent, some researchers constructed Internet-scale language datasets ("web as corpus"), upon which they trained statistical language models...

these whitens the input data. There are various subsets of the ImageNet dataset used in various context, sometimes referred to as "versions". One of the...

machine learning. Klimt, Bryan; Yiming Yang (2004). "The Enron Corpus: A New Dataset for Email Classification Research". pp. 217–226. CiteSeerX 10.1.1.61.1645...

method of measuring how many different types (e.g. species) there are in a dataset (e.g. a community). Some more sophisticated indices also account for the...

IBM mainframe computers in the S/360 line, a data set (IBM preferred) or dataset is a computer file having a record organization. Use of this term began...

Anscombe's quartet comprises four datasets that have nearly identical simple descriptive statistics, yet have very different distributions and appear very...

open-sourced artificial intelligence models and datasets. It is best known for releasing a number of large datasets of images and captions scraped from the web...

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

The Biological General Repository for Interaction Datasets (BioGRID) is a curated biological database of protein-protein interactions, genetic interactions...

In health informatics, a national minimum dataset is a database of health encounters held by a central repository. "Minimum" implies that the data fields...

articles and then request a dataset containing word and n-gram frequencies and basic metadata. They are notified when the dataset is ready and may download...

Chinchilla-optimal dataset for Llama 3 8B is 200 billion tokens, but performance continued to scale log-linearly to the 75-times larger dataset of 15 trillion...