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 |