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What are the freely available data set for classification with more than 1000 features (or sample points if it contains curves)?

There is already a community wiki about free data sets: Locating freely available data samples

But here, it would be nice to have a more focused list that can be used more conveniently, also I propose the following rules:

  1. One post per dataset
  2. No link to set of dataset

  3. each data set must be associated with

    • a name (to figure out what it is about) and a link to the dataset (R datasets can be named with package name)

    • the number of features (let say it is p) the size of the dataset (let say it is n) and the number of labels/class (let say it is k)

    • a typical error rate from your experience (state the used algorithm in to words) or from the litterature (in this last case link the paper)

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closed as off-topic by mkt, kjetil b halvorsen, Michael Chernick, mdewey, Ferdi Sep 24 '18 at 6:25

This question appears to be off-topic. The users who voted to close gave this specific reason:

  • "Questions about obtaining specific datasets are off-topic on Cross Validated. You are welcome to post this question to the Open Data site instead, thank you!" – mkt, kjetil b halvorsen, Michael Chernick, mdewey, Ferdi
If this question can be reworded to fit the rules in the help center, please edit the question.

  • $\begingroup$ +1, but the ones from NIPS2003 have train.labels only -- the NIPS2003 paper says clearly "validation and test set labels are withheld". $\endgroup$ – denis Oct 24 '11 at 10:00
  • $\begingroup$ Thanks. The comment about NIPS is for the answer from @mbq . $\endgroup$ – robin girard Oct 24 '11 at 10:02
  • $\begingroup$ Anyone here have a high dimensional dataset with more than two class labels? $\endgroup$ – hlin117 Nov 14 '15 at 2:48
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Dorothea
n=1950
p=100000 (0.1M, half is artificially added noise)
k=2 (~10x unbalanced)
From NIPS2003.

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  • $\begingroup$ Can you explain how this is 100000 features? I look at the training data and each line has maybe 2500 integers per line. $\endgroup$ – JeremyKun Jan 19 '16 at 0:03
  • $\begingroup$ It is a sparse array, integer N means attribute N value is 1. $\endgroup$ – mbq Jan 19 '16 at 14:27
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Gisette
n=13500
p=5000 (half is artificially added noise)
k=2 (balanced)
From NIPS2003.

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Dexter
n=2600
p=20000 (10k+53 is artificial noise)
k=2 (balanced)
From NIPS2003.

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  • $\begingroup$ I don't understand... one set per person? $\endgroup$ – mbq Jul 30 '10 at 17:40
  • $\begingroup$ @robin & @mbq I would suggest keeping it one dataset per post. This so people can indicate with votes which of the suggested ones there also suggest/support $\endgroup$ – Peter Smit Jul 30 '10 at 17:59
  • $\begingroup$ @Peter, OK, I follow your idea, I have changed the question accordingly. $\endgroup$ – robin girard Jul 31 '10 at 6:14
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Arcene
n=900
p=10000 (3k is artificially added noise)
k=2 (~balanced)
From NIPS2003.

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Prostate (gene expression array)

  • k=2
  • n=48+52
  • p=6033

Available via (among other) R package spls name of the dataset: prostate

error rate = 3/102 (see here) also I think there are paper which show 1/102 error rate. I would say this is an easy test case.

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