Public Archive Data


  • Summary: Ratings of books by readers
    Data Shape: 3 attributes, 1149780 instances (Integer)
    License: ODbL
    Tags: collaborative-filtering recommendation
    Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
    Download: HDF5 (13.2 MB) XML CSV ARFF LibSVM Matlab Octave
    Files are converted on demand and the process can take up to a minute. Please wait until download begins.

  • Summary: The MNIST database of handwritten digits
    Data Shape: 785 attributes, 70000 instances ()
    License: CC0
    Tags: handwritten_digits
    Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
    Download: HDF5 (52.9 MB) XML CSV ARFF LibSVM Matlab Octave
    Files are converted on demand and the process can take up to a minute. Please wait until download begins.

  • Summary: daily stock closing prices for 156 companies and 3 indexes from 2000 to 2007
    Data Shape: 160 attributes, 1813 instances (Floating Point)
    License: CC0
    Tags: arff financial Regression temporal-series
    Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
    Download: HDF5 (2.2 MB) XML CSV ARFF LibSVM Matlab Octave
    Files are converted on demand and the process can take up to a minute. Please wait until download begins.

  • Summary: The data set is a record of the lowest annual water levels on the Nile river during 622-1284 measured at the island of Roda, near Cairo, Egypt
    Data Shape: 2 attributes, 663 instances ()
    License: PDDL
    Tags: environmental time-series
    Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
    Download: HDF5 (15.7 KB) XML CSV ARFF LibSVM Matlab Octave

  • Summary: Historical daily snowfall data in Whistler, BC, Canada over the period July 1 1972 to December 31 2009.
    Data Shape: 12 attributes, 13880 instances ()
    License: PDDL
    Tags: environmental skiing time-series
    Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
    Download: HDF5 (1.1 MB) XML CSV ARFF LibSVM Matlab Octave
    Files are converted on demand and the process can take up to a minute. Please wait until download begins.

  • Summary: (No information yet)
    Data Shape: 14 attributes, 506 instances (Integer,Floating Point)
    License: unknown (from Weka repository)
    Tags: arff slurped Weka
    Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
    Download: HDF5 (59.7 KB) XML CSV ARFF LibSVM Matlab Octave
    Files are converted on demand and the process can take up to a minute. Please wait until download begins.

  • Summary: (No information yet)
    Data Shape: 7 attributes, 16 instances (Integer,Floating Point)
    License: unknown (from Weka repository)
    Tags: arff slurped Weka
    Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
    Download: HDF5 (11.1 KB) XML CSV ARFF LibSVM Matlab Octave

  • Summary: (No information yet)
    Data Shape: 5 attributes, 27 instances (Integer,Floating Point)
    License: unknown (from Weka repository)
    Tags: arff slurped Weka
    Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
    Download: HDF5 (11.4 KB) XML CSV ARFF LibSVM Matlab Octave

  • Summary: (No information yet)
    Data Shape: 12 attributes, 133 instances (Floating Point,String)
    License: unknown (from Weka repository)
    Tags: arff slurped Weka
    Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
    Download: HDF5 (43.4 KB) XML CSV ARFF LibSVM Matlab Octave
    Files are converted on demand and the process can take up to a minute. Please wait until download begins.

  • Summary: (No information yet)
    Data Shape: 10 attributes, 286 instances (Integer,String)
    License: unknown (from Weka repository)
    Tags: arff slurped Weka
    Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
    Download: HDF5 (93.3 KB) XML CSV ARFF LibSVM Matlab Octave
    Files are converted on demand and the process can take up to a minute. Please wait until download begins.

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Acknowledgements

This project is supported by PASCAL (Pattern Analysis, Statistical Modelling and Computational Learning)
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