Public Archive Data


  • Summary: The Ringnorm data set from the IDA Benchmark repository.
    Data Shape: 21 attributes, 7400 instances ()
    License: PDDL
    Tags: IDA_Benchmark_Repository
    Tasks / Methods / Challenges: 1 tasks, 0 methods, 0 challenges
    Download: HDF5 (1.2 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: (No information yet)
    Data Shape: 4 attributes, 42 instances (Integer)
    License: unknown (from Weka repository)
    Tags: arff slurped Weka
    Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
    Download: HDF5 (10.7 KB) XML CSV ARFF LibSVM Matlab Octave

  • Summary: Records of heart sound from people in different heart conditions:Normal, Murmur,Extra sound,Extrasystole, Artifact for Heartbeat Classification.
    License: CC0
    Tags: Classification Signal-processing Supervised-Machine-Learning
    Tasks / Methods / Challenges: 2 tasks, 0 methods, 0 challenges
    Download: zip (47.7 MB)
    Files are converted on demand and the process can take up to a minute. Please wait until download begins.

  • Summary: costs for movements avoiding collisions, see readme file
    License: ODbL
    Tags: Classification decision making Regression robot
    Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
    Download: zip (23.4 MB)
    Files are converted on demand and the process can take up to a minute. Please wait until download begins.

  • Summary: UCI boston housing data (scaled to [-1,1])
    Data Shape: 14 attributes, 506 instances ()
    License: unknown (from LibSVMTools repository)
    Tags: libsvm LibSVMTools slurped
    Tasks / Methods / Challenges: 1 tasks, 1 methods, 0 challenges
    Download: HDF5 (65.9 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: The Thyroid data set from the IDA Benchmark repository.
    Data Shape: 6 attributes, 215 instances ()
    License: PDDL
    Tags: IDA_Benchmark_Repository
    Tasks / Methods / Challenges: 1 tasks, 0 methods, 0 challenges
    Download: HDF5 (18.9 KB) XML CSV ARFF LibSVM Matlab Octave

  • Summary: The Image data set from the IDA Benchmark repository.
    Data Shape: 19 attributes, 2310 instances ()
    License: PDDL
    Tags: IDA_Benchmark_Repository
    Tasks / Methods / Challenges: 1 tasks, 0 methods, 1 challenges
    Download: HDF5 (320.2 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: random sample from business information database
    License: unknown
    Tags: b2b business company contacts corporate list websites
    Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
    Download: zip (2.9 MB)
    Files are converted on demand and the process can take up to a minute. Please wait until download begins.

  • Summary: The Splice data set from the IDA Benchmark repository.
    Data Shape: 61 attributes, 3175 instances ()
    License: PDDL
    Tags: IDA_Benchmark_Repository
    Tasks / Methods / Challenges: 1 tasks, 0 methods, 0 challenges
    Download: HDF5 (1.4 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 Twonorm data set from the IDA Benchmark repository.
    Data Shape: 21 attributes, 7400 instances ()
    License: PDDL
    Tags: IDA_Benchmark_Repository
    Tasks / Methods / Challenges: 1 tasks, 0 methods, 0 challenges
    Download: HDF5 (1.2 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.

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We are acting in good faith to make datasets submitted for the use of the scientific community available to everybody, but if you are a copyright holder and would like us to remove a dataset please inform us and we will do it as soon as possible.

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Acknowledgements

This project is supported by PASCAL (Pattern Analysis, Statistical Modelling and Computational Learning)
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http://www.pascal-network.org/.