UCR Time Series Classification Archive |
Last major update, Summer 2015: Early work on this data resource was funded by an NSF Career Award 0237918, and it continues to be funded through NSF IIS-1161997 II and NSF IIS 1510741. |
Discontinued!
There is now a larger archive here.
We suggest you begin by reading the briefing document in PDF or PowerPoint, which also contains the password. Then you can download the entire archive (about 350mb in zipped format).
Please reference as: Yanping Chen, Eamonn Keogh, Bing Hu, Nurjahan Begum, Anthony Bagnall, Abdullah Mueen and Gustavo Batista (2015). The UCR Time Series Classification Archive. URL www.cs.ucr.edu/~eamonn/time_series_data/
@misc{UCRArchive,
title={The UCR Time Series Classification Archive},
author={ Chen, Yanping and Keogh, Eamonn and Hu, Bing and Begum, Nurjahan and Bagnall, Anthony and Mueen, Abdullah and Batista, Gustavo},
year={2015},
month={July},
note = {\url{www.cs.ucr.edu/~eamonn/time_series_data/}}
}
Name | First paper or data creator | Number of classes | Size of training set | Size of testing set | Time series Length | 1-NN Euclidean Distance |
1-NN Best Warping Window DTW (r) Note that r is the percentage of time series length |
1-NN DTW, no Warping Window |
Synthetic Control |
Pham |
6 | 300 | 300 | 60 |
0.120 |
0.017 (6) | 0.007 |
Gun-Point | Ratanamahatana | 2 | 50 | 150 | 150 | 0.087 | 0.087 (0) | 0.093 |
CBF | 3 | 30 | 900 | 128 | 0.148 | 0.004 (11) | 0.003 | |
Face (all) | Xi | 14 | 560 | 1690 | 131 | 0.286 | 0.192 (3) | 0.192 |
OSU Leaf | Gandhi | 6 | 200 | 242 | 427 | 0.479 | 0.388 (7) | 0.409 |
Swedish Leaf | Soderkvist | 15 | 500 | 625 | 128 | 0.211 | 0.154 (2) | 0.208 |
50Words | Rath | 50 | 450 | 455 | 270 | 0.369 | 0.242 (6) | 0.310 |
Trace | Roverso | 4 | 100 | 100 | 275 | 0.240 | 0.010 (3) | 0.000 |
Two Patterns | Geurts | 4 | 1000 | 4000 | 128 | 0.090 | 0.002 (4) | 0.000 |
Wafer | Olszewski | 2 | 1000 | 6174 | 152 | 0.005 | 0.005 (1) | 0.020 |
Face (four) | Ratanamahatana | 4 | 24 | 88 | 350 | 0.216 | 0.114 (2) | 0.170 |
Lightning-2 |
Eads |
2 | 60 | 61 | 637 | 0.246 | 0.131 (6) | 0.131 |
Lightning-7 | Eads | 7 | 70 | 73 | 319 | 0.425 | 0.288 (5) | 0.274 |
ECG | Olszewski | 2 | 100 | 100 | 96 | 0.120 | 0.120 (0) | 0.230 |
Adiac |
Jalba |
37 | 390 | 391 | 176 | 0.389 | 0.391 (3) | 0.396 |
Yoga | Xi | 2 | 300 | 3000 | 426 | 0.170 | 0.155 (2) | 0.164 |
Fish | Lee | 7 | 175 | 175 | 463 | 0.217 | 0.154(4) | 0.177 |
Plane | 7 | 105 | 105 | 144 | 0.038 | 0.000 (6) | 0.000 | |
Car | 4 | 60 | 60 | 577 | 0.267 | 0.233 (1) | 0.267 | |
Beef |
Tony Bagnall | 5 | 30 | 30 | 470 | 0.333 |
0.333 (0) |
0.367 |
Coffee |
Tony Bagnall | 2 |
28 |
28 |
286 |
0.000 |
0.000 (0) |
0.000 |
OliveOil |
Tony Bagnall | 4 |
30 |
30 |
570 |
0.133 |
0.133 (0) |
0.167 |
CinC_ECG_torso | 4 | 40 | 1380 | 1639 | 0.103 | 0.07 (1) | 0.349 | |
ChlorineConcentration | Lei Li & C. Faloutsos | 3 | 467 | 3840 | 166 | 0.35 | 0.35 (0) | 0.352 |
DiatomSizeReduction | rbg-web2.rbge.org.uk/ADIAC/ | 4 | 16 | 306 | 345 | 0.065 | 0.065 (0) | 0.033 |
ECGFiveDays | physionet.org & E. Keogh | 2 | 23 | 861 | 136 | 0.203 | 0.203 (0) | 0.232 |
FacesUCR | E. Keogh | 14 | 200 | 2050 | 131 | 0.231 | 0.088 (12) | 0.095 |
Haptics | 5 | 155 | 308 | 1092 | 0.630 | 0.588 (2) | 0.623 | |
InlineSkate | Fabian Morchen | 7 | 100 | 550 | 1882 | 0.658 | 0.613 (14) | 0.616 |
ItalyPowerDemand | JJ van Wijk | 2 | 67 | 1029 | 24 | 0.045 | 0.045 (0) | 0.05 |
MALLAT | 8 | 55 | 2345 | 1024 | 0.086 | 0.086 (0) | 0.066 | |
MedicalImages | 10 | 381 | 760 | 99 | 0.316 | 0.253 (20) | 0.263 | |
MoteStrain | 2 | 20 | 1252 | 84 | 0.121 | 0.134 (1) | 0.165 | |
SonyAIBORobot SurfaceII | (D. Vail & M. Veloso) & E. Keogh | 2 | 27 | 953 | 65 | 0.141 | 0.141 (0) | 0.169 |
SonyAIBORobot Surface | (D. Vail & M. Veloso) & E. Keogh | 2 | 20 | 601 | 70 | 0.305 | 0.305 (0) | 0.275 |
StarLightCurves | Pavlos Protopapas | 3 | 1000 | 8236 | 1024 | 0.151 | 0.095 (16) | 0.093 |
Symbols | E. Keogh & J. Brady | 6 | 25 | 995 | 398 | 0.100 | 0.062 (8) | 0.050 |
TwoLeadECG | physionet.org & E. Keogh | 2 | 23 | 1139 | 82 | 0.253 | 0.132 (5) | 0.096 |
Cricket_X | M. H. Ko, G. West, S. Venkatesh, and M. Kuma. | 12 | 390 | 390 | 300 | 0.423 | 0.228 (10) | 0.246 |
Cricket_Y | 12 | 390 | 390 | 300 | 0.433 | 0.238 (17) | 0.256 | |
Cricket_Z | 12 | 390 | 390 | 300 | 0.413 | 0.254 (5) | 0.246 | |
uWaveGestureLibrary_X | Rice Efficient Computing Group, Rice University | 8 | 896 | 3582 | 315 | 0.261 | 0.227 (4) | 0.273 |
uWaveGestureLibrary_Y | 8 |
896 | 3582 | 315 | 0.338 | 0.301 (4) | 0.366 | |
uWaveGestureLibrary_Z | 8 | 896 | 3582 | 315 | 0.35 | 0.322 (6) | 0.342 | |
Non-Invasive Fetal ECG Thorax1 | Bing Hu and Eamonn Keogh | 42 | 1800 | 1965 | 750 | 0.171 | 0.185 (1) | 0.209 |
Non-Invasive Fetal ECG Thorax2 | Bing Hu and Eamonn Keogh | 42 | 1800 | 1965 | 750 | 0.120 | 0.129 (1) | 0.135 |
InsectWingbeatSound | Yanping Chen and Eamonn Keogh | 11 | 220 | 1980 | 256 | 0.438 | 0.422 (2) | 0.645 |
ECG5000 | Yanping Chen and Eamonn Keogh | 5 | 500 | 4500 | 140 | 0.075 | 0.075 (1) | 0.076 |
ArrowHead | Tony Bagnall | 3 | 36 | 175 | 251 | 0.200 | 0.200 (0) | 0.297 |
BeetleFly | Tony Bagnall | 2 | 20 | 20 | 512 | 0.250 | 0.300 (7) | 0.300 |
BirdChicken | Tony Bagnall | 2 | 20 | 20 | 512 | 0.450 | 0.300(6) | 0.250 |
Ham | Tony Bagnall | 2 | 109 | 105 | 431 | 0.400 | 0.400 (0) | 0.533 |
Herring | Tony Bagnall | 2 | 64 | 64 | 512 | 0.484 | 0.469 (5) | 0.469 |
PhalangesOutlinesCorrect | Tony Bagnall | 2 | 1800 | 858 | 80 | 0.239 | 0.239 (0) | 0.272 |
ProximalPhalanxOutlineAgeGroup | Tony Bagnall | 3 | 400 | 205 | 80 | 0.215 | 0.215 (0) | 0.195 |
ProximalPhalanxOutlineCorrect | Tony Bagnall | 2 | 600 | 291 | 80 | 0.192 | 0.210 (1) | 0.216 |
ProximalPhalanxTW | Tony Bagnall | 6 | 205 | 400 | 80 | 0.292 | 0.263 (6) | 0.263 |
ToeSegmentation1 | Tony Bagnall | 2 | 40 | 228 | 277 | 0.320 | 0.250 (8) | 0.228 |
ToeSegmentation2 | Tony Bagnall | 2 | 36 | 130 | 343 | 0.192 | 0.092 (5) | 0.162 |
DistalPhalanxOutlineAgeGroup | Tony Bagnall | 3 | 139 | 400 | 80 | 0.218 | 0.228 (1) | 0.208 |
DistalPhalanxOutlineCorrect | Tony Bagnall | 2 | 276 | 600 | 80 | 0.248 | 0.232 (2) | 0.232 |
DistalPhalanxTW | Tony Bagnall | 6 | 139 | 400 | 80 | 0.273 | 0.272 (0) | 0.290 |
Earthquakes | Tony Bagnall | 2 | 139 | 322 | 512 | 0.326 | 0.258 (22) | 0.258 |
MiddlePhalanxOutlineAgeGroup | Tony Bagnall | 3 | 154 | 400 | 80 | 0.260 | 0.253 (5) | 0.250 |
MiddlePhalanxOutlineCorrect | Tony Bagnall | 2 | 291 | 600 | 80 | 0.247 | 0.318 (1) | 0.352 |
MiddlePhalanxTW | Tony Bagnall | 6 | 154 | 399 | 80 | 0.439 | 0.419 (2) | 0.416 |
ShapeletSim | Tony Bagnall | 2 | 20 | 180 | 500 | 0.461 | 0.300 (3) | 0.350 |
Wine | Tony Bagnall | 2 | 57 | 54 | 234 | 0.389 | 0.389 (0) | 0.426 |
WordSynonyms | Tony Bagnall | 25 | 267 | 638 | 270 | 0.382 | 0.252 (8) | 0.351 |
Computers | Tony Bagnall | 2 | 250 | 250 | 720 | 0.424 | 0.380 (13) | 0.300 |
ElectricDevices | Tony Bagnall | 7 | 8926 | 7711 | 96 | 0.450 | 0.376 (14) | 0.399 |
FordA | Tony Bagnall | 2 | 1320 | 3601 | 500 | 0.341 | 0.341 (0) | 0.438 |
FordB | Tony Bagnall | 2 | 810 | 3636 | 500 | 0.442 | 0.414 (1) | 0.406 |
HandOutlines | Tony Bagnall | 2 | 370 | 1000 | 2709 | 0.199 | 0.197 (1) | 0.202 |
LargeKitchenAppliances | Tony Bagnall | 3 | 375 | 375 | 720 | 0.507 | 0.205 (94) | 0.205 |
Meat | Tony Bagnall | 3 | 60 | 60 | 448 | 0.067 | 0.067 (0) | 0.067 |
Phoneme (readme) | Hossein Hamooni and Mueen Abdullah | 39 | 214 | 1896 | 1024 | 0.891 | 0.773 (14) | 0.772 |
RefrigerationDevices | Tony Bagnall | 3 | 375 | 375 | 720 | 0.605 | 0.560 (8) | 0.536 |
ScreenType | Tony Bagnall | 3 | 375 | 375 | 720 | 0.640 | 0.589 (17) | 0.603 |
ShapesAll | Tony Bagnall | 60 | 600 | 600 | 512 | 0.248 | 0.198 (4) | 0.232 |
SmallKitchenAppliances | Tony Bagnall | 3 | 375 | 375 | 720 | 0.659 | 0.328 (15) | 0.357 |
Strawberry | Tony Bagnall | 2 | 370 | 613 | 235 | 0.062 | 0.062 (0) | 0.060 |
UWaveGestureLibraryAll | Tony Bagnall | 8 | 896 | 3582 | 945 | 0.052 | 0.034 (4) | 0.108 |
Worms | Tony Bagnall | 5 | 77 | 181 | 900 | 0.635 | 0.586 (3) | 0.536 |
WormsTwoClass | Tony Bagnall | 2 | 77 | 181 | 900 | 0.414 | 0.414 (9) | 0.337 |