1 | % PRDATASETS: Pattern Recognition Datasets in PRTools format |
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2 | % Version 3.0.2 07-Jan-2020 |
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3 | % |
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4 | %Feature based labeled datasets |
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5 | %------------------------------ |
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6 | %name objects feats classes |
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7 | %abalone 4177 8 28 Abalone Age Estimation |
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8 | %adult 45222 14 2 Census Income Original |
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9 | %annealing 898 9 5 Steel Annealing Data |
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10 | %arcene 200 10000 2 Arcene Mass Spectra |
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11 | %arrhythmia 452 275 13 Arrhythmia normal |
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12 | %audiology 226 63 24 Standardized Audiology |
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13 | %australian_sl 690 14 2 Statlog Australian Credit |
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14 | %auto_mpg 398 6 2 Auto MPG |
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15 | %balance_scale 625 4 5 Balance Scale |
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16 | %balloons 76 4 2 Balloons |
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17 | %biomed 194 5 2 Biomedical Data |
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18 | %breast 683 9 2 Breast Wisconsin |
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19 | %car 1728 6 4 Car Evaluation |
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20 | %cbands 12000 30 24 Chromosome Bands |
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21 | %census 142521 41 2 Census Income KDD |
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22 | %chromo 1143 8 24 Chromosome Features |
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23 | %cmc 1473 9 3 Contraceptive Method Choice |
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24 | %connect4 67557 42 3 Connect-4 Dataset |
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25 | %credit 690 15 2 Credit Approval Dataset |
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26 | %cylinderbands 540 39 2 Cylinder Bands Dataset |
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27 | %diabetes 768 8 2 Diabetes Dataset |
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28 | %ecoli 336 7 8 Ecoli Dataset |
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29 | %flowcyto 612 254 3 Flow Cytometry 1 |
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30 | %german_num_sl 1000 24 2 Statlog German Credit Num |
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31 | %german_sl 1000 20 2 Statlog German Credit |
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32 | %glass 214 9 4 Glass Identification Dataset |
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33 | %haberman 306 3 2 Haberman''s Survival |
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34 | %heart 297 13 2 Heart Cleveland |
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35 | %heart_sl 270 13 2 Statlog Heart |
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36 | %hepatitis 112 19 2 Hepatitis Data Set |
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37 | %imox 192 8 4 IMOX Characters |
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38 | %imsegment 2310 19 7 Image Segmentation |
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39 | %imsegment_sl 2310 19 7 Statlog Image Segmentation |
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40 | %ionosphere 351 34 2 Ionosphere Dataset |
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41 | %iris 150 4 3 Iris Dataset |
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42 | %isolet 7797 617 26 Isolet |
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43 | %letter 20000 16 16 Letter Recognition |
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44 | %liver 345 6 2 Liver disorder dataset |
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45 | %magic04 19020 10 2 Magic Gamma Telescope |
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46 | %malaysia 291 8 20 Malaysia Data |
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47 | %mammograph 961 5 2 Mammographic Mass |
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48 | %mfeat 2000 649 10 MFEAT Combined Features |
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49 | %mfeat_fac 2000 216 10 MFEAT Face Features |
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50 | %mfeat_fou 2000 76 10 MFEAT Fourier Features |
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51 | %mfeat_kar 2000 64 10 MFEAT KL Features |
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52 | %mfeat_mor 2000 6 10 MFEAT Morphological Features |
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53 | %mfeat_pix 2000 240 10 MFEAT Pixel Features |
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54 | %mfeat_zer 2000 47 10 MFEAT Zernike Moments |
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55 | %musk1 476 166 2 Musk version 1 |
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56 | %musk2 6598 166 2 Musk version 2 |
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57 | %optdigits 5620 64 10 Optical Digit Recognition |
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58 | %pageblocks 5473 10 5 Page Blocks |
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59 | %pendigits 10992 16 10 Pen Based Handwritten Digits |
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60 | %ringnorm 7400 20 2 Ringnorm Data |
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61 | %satellite 6435 36 6 Satellite dataset |
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62 | %satellite_sl 6435 36 6 Statlog Satellite |
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63 | %shuttle_sl 58000 9 7 Statlog Shuttle |
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64 | %sonar 208 60 2 Sonar dataset |
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65 | %soybean1 266 35 19 Large soybean dataset |
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66 | %soybean2 136 35 4 Small soybean dataset |
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67 | %spambase 4601 57 2 Spambase |
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68 | %spectf 80 44 2 Spectf Heart |
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69 | %spectrometer 531 101 9 Low Resolution Spectrometer |
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70 | %teachassist 151 5 3 Teaching Assistant Evaluation |
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71 | %tic_tac_toe 958 9 2 Tic Tac Toe |
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72 | %twonorm 7400 20 2 Twonorm Data |
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73 | %waveform1 5000 21 3 Simple Waveform Data |
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74 | %waveform2 5000 40 3 Advanced Waveform Data |
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75 | %wine 178 13 3 Wine Recognition |
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76 | %x80 45 8 3 80X Characters |
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77 | %yeast 1484 8 10 Protein Localization |
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78 | %zoo 101 16 7 Animal Recognition |
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79 | % |
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80 | %Multi-band images (pixels are objects, bands are features) |
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81 | %---------------------------------------------------------- |
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82 | %name pixels bands classes |
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83 | %emim 128*128 8 1 A seto of 5 8-band EM images |
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84 | %lena 256*256 3 1 full-color image |
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85 | %texturel 5*128*128 7 5 texture features of 5 different images |
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86 | %texturet 256*256 7 5 composite texture image |
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87 | % |
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88 | %Image datasets (pixels are features, images are objects) |
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89 | %-------------------------------------------------------- |
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90 | %name images pixels classes |
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91 | %kimia 216 64*64 18 resampled Kimia dataset of silhouettes |
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92 | %mnist 70000 28*28 10 MNIST8 Reduced Digits |
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93 | %mnist8 70000 8*8 10 MNIST digits |
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94 | %nist16 2000 16*16 10 normalized NIST digits |
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95 | %nist32 5000 32*32 10 resemapled MNIST digits |
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96 | % |
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97 | %Most datasets are based on the <a |
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98 | %href="http://archive.ics.uci.edu/ml/datasets/SPECTF+Heart">UCI Machine Learning Repository.</a> |
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