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Dataset name Brief description Preprocessing Instances Format Default Task Created (updated) Reference Creator Artificial Characters Dataset Artificially generated data describing the structure of 10 capital English letters. Coordinates of lines drawn given as integers. Various other features. 6000 Text Handwriting recognition, classification 1992
Dataset Name Brief description Preprocessing Instances Format Default Task Created (updated) Reference Creator Geographic Origin of Music Data Set Audio features of music samples from different locations. Audio features extracted using MARSYAS software. 1,059 Text Geographic classification, clustering 2014 [138] [139] F. Zhou et al.
A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]
Various plots of the multivariate data set Iris flower data set introduced by Ronald Fisher (1936). [1]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 of a table represents a particular variable, and each row corresponds to a given record of the data set in question.
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 by EleutherAI in 2020 and publicly released on December 31 of that year. [1] [2] It is composed of 22 smaller datasets, including 14 new ones. [1]
Half of the training set and half of the test set were taken from NIST's training dataset, while the other half of the training set and the other half of the test set were taken from NIST's testing dataset. [9] The original creators of the database keep a list of some of the methods tested on it. [7]
English is the primary language for 46% of documents in the March 2023 version of the Common Crawl dataset. The next most common primary languages are German, Russian, Japanese, French, Spanish and Chinese, each with less than 6% of documents.
The Brain Imaging Data Structure (BIDS) is a standard for organizing, annotating, and describing data collected during neuroimaging experiments. It is based on a formalized file and directory structure and metadata files (based on JSON and TSV) with controlled vocabulary. [1]