R: R Ultimate Multilabel Dataset Repository

# R Ultimate Multilabel Dataset Repository

## Documentation for package ‘mldr.datasets’ version 0.4.2

- DESCRIPTION file
- Package README

## Help Pages

available.mldrs | Obtain additional datasets available to download
bibtex | Dataset with BibTeX entries
birds | Dataset with sounds produced by birds and the species they belong to
bookmarks | Dataset with data from web bookmarks and their categories
cal500 | Dataset with music data along with labels for emotions, instruments, genres, etc.
check_n_load.mldr | (Defunct) Check if an mldr object is locally available and download it if needed
corel16k001 | Datasets with data from the Corel image collection. There are 10 subsets in corel16k
corel16k002 | Datasets with data from the Corel image collection. There are 10 subsets in corel16k
corel16k003 | Datasets with data from the Corel image collection. There are 10 subsets in corel16k
corel16k004 | Datasets with data from the Corel image collection. There are 10 subsets in corel16k
corel16k005 | Datasets with data from the Corel image collection. There are 10 subsets in corel16k
corel16k006 | Datasets with data from the Corel image collection. There are 10 subsets in corel16k
corel16k007 | Datasets with data from the Corel image collection. There are 10 subsets in corel16k
corel16k008 | Datasets with data from the Corel image collection. There are 10 subsets in corel16k
corel16k009 | Datasets with data from the Corel image collection. There are 10 subsets in corel16k
corel16k010 | Datasets with data from the Corel image collection. There are 10 subsets in corel16k
corel5k | Dataset with data from the Corel image collection
delicious | Dataset generated from the del.icio.us site bookmarks
density | Calculate the density level of the dataset
emotions | Dataset with features extracted from music tracks and the emotions they produce
enron | Dataset with email messages and the folders where the users stored them
eurlexdc_test | List with 10 folds of the test data from the EUR-Lex directory codes dataset
eurlexdc_tra | List with 10 folds of the train data from the EUR-Lex directory codes dataset
eurlexev_test | List with 10 folds of the test data from the EUR-Lex EUROVOC descriptors dataset
eurlexev_tra | List with 10 folds of the train data from the EUR-Lex EUROVOC descriptors dataset
eurlexsm_test | List with 10 folds of the test data from the EUR-Lex subject matters dataset
eurlexsm_tra | List with 10 folds of the train data from the EUR-Lex subject matters dataset
flags | Dataset with features correspoinding to world flags
genbase | Dataset with genes data and their functional expression
get.mldr | Get a multilabel dataset by name
imdb | Dataset generated from the IMDB film database
iterative.stratification.holdout | Hold-out partitioning of an mldr object
iterative.stratification.kfolds | Partition an mldr object into k folds
iterative.stratification.partitions | Generic partitioning of an mldr object
langlog | Dataset with data from the Language forum discussion
mediamill | Dataset with features extracted from video sequences and semantic concepts assigned as labels
medical | Dataset generated from medical reports
mldrs | (Defunct) Obtain and show a list of additional datasets available to download
ng20 | Dataset with news messages and the news groups they belong to
nuswide_BoW | Dataset obtained from the NUS-WIDE database with BoW representation
nuswide_VLAD | Dataset obtained from the NUS-WIDE database with cVLAD+ representation
ohsumed | Dataset generated from a subset of the Medline database
random.holdout | Hold-out partitioning of an mldr object
random.kfolds | Partition an mldr object into k folds
random.partitions | Generic partitioning of an mldr object
rcv1sub1 | Dataset from the Reuters corpus (subset 1)
rcv1sub2 | Dataset from the Reuters corpus (subset 2)
rcv1sub3 | Dataset from the Reuters corpus (subset 3)
rcv1sub4 | Dataset from the Reuters corpus (subset 4)
rcv1sub5 | Dataset from the Reuters corpus (subset 5)
reutersk500 | Dataset from the Reuters Corpus with the 500 most relevant features selected
scene | Dataset from images with different natural scenes
slashdot | Dataset generated from slashdot.org site entries
sparsity | Calculate the sparsity level of the dataset
stackex_chemistry | Dataset from the Stack Exchange's chemistry forum
stackex_chess | Dataset from the Stack Exchange's chess forum
stackex_coffee | Dataset from the Stack Exchange's coffee forum
stackex_cooking | Dataset from the Stack Exchange's cooking forum
stackex_cs | Dataset from the Stack Exchange's computer science forum
stackex_philosophy | Dataset from the Stack Exchange's philosophy forum
stratified.holdout | Hold-out partitioning of an mldr object
stratified.kfolds | Partition an mldr object into k folds
stratified.partitions | Generic partitioning of an mldr object
tmc2007 | Dataset from airplanes failures reports
tmc2007_500 | Dataset from airplanes failures reports (500 most relevant features extracted)
toBibtex.mldr | BibTeX entry associated to an mldr object
write.mldr | Export an mldr object or set of mldr objects to different file formats
yahoo_arts | Dataset generated from the Yahoo! web site index (arts category)
yahoo_business | Dataset generated from the Yahoo! web site index (business category)
yahoo_computers | Dataset generated from the Yahoo! web site index (computers category)
yahoo_education | Dataset generated from the Yahoo! web site index (arts education)
yahoo_entertainment | Dataset generated from the Yahoo! web site index (arts entertainment)
yahoo_health | Dataset generated from the Yahoo! web site index (health category)
yahoo_recreation | Dataset generated from the Yahoo! web site index (recreation category)
yahoo_reference | Dataset generated from the Yahoo! web site index (reference category)
yahoo_science | Dataset generated from the Yahoo! web site index (science category)
yahoo_social | Dataset generated from the Yahoo! web site index (social category)
yahoo_society | Dataset generated from the Yahoo! web site index (society category)
yeast | Dataset with protein profiles and their categories