Please visit this GitHub for more information.
ScalaTion Dataset Collection
This repository contains a collection of datasets that are used in ScalaTion. The datasets are organized under 5 sub categories. They are
- analytics
- graphanalytics
- linalgebra
- relalgebra
- tableau
Datasets can be downloaded via the .download.sh script in the main scalation data directory. See below for usage.
# If scalation is not installed
$ git clone https://github.com/scalation/scalation.git
# Go to the scalation data directory
$ cd scalation/data
# Execute the download script with no arguments to download all datasets
$ ./download.sh
# If you would like only download a single category, then specify it as an argument
$ ./download.sh linalgebra| Name | #rows | #attrs | Size | Description | Path |
|---|---|---|---|---|---|
| auto-mpg | 392 | 8 | 0.02MB | Auto-MPG Dataset from UCI | analytics/regression/auto_mpg.csv |
| airfoil | 1503 | 5 | 0.06MB | Airfoil Self Noise Dataset from UCI(NASA) | analytics/regression/airfoil/airfoil_self_noise.csv |
| concrete_compressive | 1030 | 9 | 0.06MB | Concrete Compressive Strength Dataset from UCI | analytics/regression/concrete_compressive/Concrete_Data.csv |
| ccpp | 9568 | 4 | 0.29MB | Combined Cycle Power Plant Dataset from UCI | analytics/regression/ccpp/Folds5x2_pp.csv |
| concrete_slump_1 | 103 | 10 | 0.004MB | Concrete Slump Dataset from UCI (target: SLUMP) | analytics/regression/concrete_slump/slump_test.csv |
| concrete_slump_2 | 103 | 10 | 0.004MB | Concrete Slump Dataset from UCI (target: FLOW) | analytics/regression/concrete_slump/slump_test.csv |
| concrete_slump_3 | 103 | 10 | 0.004MB | Concrete Slump Dataset from UCI (target: Compressive Strength) | analytics/regression/concrete_slump/slump_test.csv |
| nist_gauss_1 | 250 | 1 | 0.005MB | NIST Gauss1 dataset. The data are two well-separated Gaussians on a decaying exponential baseline plus normally distributed zero-mean noise with variance = 6.25. | analytics/regression/nist_gauss_1.csv |
| prostate | 97 | 8 | 0.01MB | R Prostate Cancer dataset | analytics/regression/prostate.csv |
| kin8nm | 8192 | 8 | 0.66MB | kin8nm dataset from OpenML (https://www.openml.org/d/189) | analytics/regression/dataset_2175_kin8nm.csv |
| computer_activity_1 | 8192 | 21 | 0.69MB | Torgo Computer Activity Dataset | analytics/regression/computer_activity/cpu_act.data |
| computer_activity_2 | 8192 | 12 | 0.43MB | Torgo Computer Activity Dataset - Small version | analytics/regression/computer_activity/cpu_small.data |
| wisconsin_breast | 194 | 32 | 0.04MB | Wisconsin Breast Cancer Dataset | analytics/regression/wisconsin_breast_cancer/r_wpbc.data |
| auto_price | 159 | 15 | 0.01MB | Torgo Auto Price Dataset | analytics/regression/auto_price/price.data |
| gym_crowdedness | 62184 | 10 | 3.29MB | Kaggle Campus Gym Crowdedness Dataset | analytics/regression/gym_crowdedness.csv |
| forest_fire | 517 | 12 | 0.02MB | UCI Forest Fire Dataset | analytics/regression/forest_fire/forestfires.csv |
| housing | 506 | 13 | 0.04MB | Boston Housing Dataset | analytics/regression/housing/housing_fixed.csv |
| istanbul_stock | 536 | 9 | 0.06MB | UCI Istanbul Stock Exchange Dataset | analytics/regression/data_akbilgic.csv |
| tecator_moisture | 240 | 100 | 0.18MB | OPENML Tecator Dataset(target: Moisture) | analytics/regression/tecator/tecator_moisture.csv |
| tecator_fat | 240 | 100 | 0.18MB | OPENML Tecator Dataset(target: Fat) | analytics/regression/tecator/tecator_fat.csv |
| tecator_protein | 240 | 100 | 0.18MB | OPENML Tecator Dataset(target: Protein) | analytics/regression/tecator/tecator_protein.csv |
| bike_sharing_total_hour | 17379 | 16 | 1.09MB | UCI Bike Sharing Dataset | Hourly Data Total Count |
| bike_sharing_total_day | 731 | 15 | 0.05MB | UCI Bike Sharing Dataset | Daily Data Total Count |
| bng_breast | 116640 | 9 | 6.32MB | OPENML BNG Breast Tumor Dataset | analytics/regression/BNG_breastTumor.csv |
| visualizing_soil | 8641 | 4 | 0.20MB | OPENML Visualizing Soil Dataset | analytics/regression/visualizing_soil.csv |
| bank8fm | 8192 | 8 | 0.59MB | OPENML Customer Bank Selection Dataset | analytics/regression/bank8fm.csv |
| abalone | 4177 | 8 | 0.18MB | Torgo Abalone Dataset | analytics/regression/abalone/abalone.data |
| electricity_prices | 37682 | 16 | 2.77MB | OPENML ICON Electricity Challenge Dataset | analytics/regression/electricity_prices/electricity_prices_nomissing.csv |
| casp | 45730 | 9 | 3.37MB | UCI Protein Tertiary Structure DataSet | analytics/regression/CASP.csv |
| appliance_energy | 19735 | 28 | 4.04MB | UCI Appliance Energy DataSet | analytics/regression/appliance_energy/energy_data_clean.csv |
| crime_norm | 1993 | 100 | 0.90MB | UCI Communities Crime(target: ViolentPerPop) DataSet | analytics/regression/communities/communities.csv |
| parkinson_1 | 5875 | 18 | 0.78MB | UCI Parkinson Telemonitoring Dataset(target: total) | analytics/regression/parkinson/parkinsons_motor_updrs.csv |
| parkinson_2 | 5875 | 18 | 0.78MB | UCI Parkinson Telemonitoring Dataset(target: motor) | analytics/regression/parkinson/parkinsons_total_updrs.csv |
| servo | 167 | 4 | 0.003MB | UCI Servo Dataset | analytics/regression/servo/servo.data.txt |
| student_1 | 395 | 29 | 0.04MB | UCI Student Performance Dataset(target: mat) | analytics/regression/student/student-mat.csv |
| student_2 | 649 | 29 | 0.06MB | UCI Student Performance Dataset(target: por) | analytics/regression/student/student-por.csv |
| yacht | 308 | 6 | 0.01MB | UCI Yacht Hydodynamics Dataset | analytics/regression/yacht_hydrodynamics.data |
| fb_metric_1 | 496 | 15 | 0.03MB | UCI Facebook Metric Dataset(target: total) | analytics/regression/fb/dataset_total.csv |
| fb_metric_2 | 496 | 15 | 0.03MB | UCI Facebook Metric Dataset(target: like) | analytics/regression/fb/dataset_like.csv |
| fb_metric_3 | 496 | 15 | 0.03MB | UCI Facebook Metric Dataset(target: comment) | analytics/regression/fb/dataset_comment.csv |
| fb_metric_4 | 496 | 15 | 0.03MB | UCI Facebook Metric Dataset(target: share) | analytics/regression/fb/dataset_share.csv |
| cars | 1447 | 13 | 0.11MB | Applied Predictive Modeling Cars Dataset(all) | analytics/regression/cars/cars_all.csv |
| chick_weight | 578 | 2 | 0.004MB | R Caret Package Chick Weight Dataset | analytics/regression/chick_weight.csv |
| life_cycle_savings | 50 | 4 | 0.001MB | R Caret Package Life Cycle Savings Dataset | analytics/regression/life_cycle_savings.csv |
| hi | 22272 | 11 | 1.05MB | R Health Insurance Housewives Dataset | analytics/regression/HI.csv |
| body_fat | 252 | 17 | 0.02MB | Bilkent Body Fat Dataset | analytics/regression/body_fat.csv |
| fried | 40768 | 10 | 2.55MB | Bilkent Fried Dataset | analytics/regression/fried.csv |
| plastic | 1650 | 2 | 0.02MB | Bilkent Plastic Dataset | analytics/regression/plastic.csv |
| quake | 2178 | 3 | 0.04MB | Bilkent Quake Dataset | analytics/regression/quake.csv |
| weather_1 | 1609 | 9 | 0.08MB | Bilkent Weather Ankara Dataset | analytics/regression/WA.dat |
| weather_2 | 1461 | 9 | 0.07MB | Bilkent Weather Izmir Dataset | analytics/regression/WI.dat |
| treasury | 1049 | 15 | 0.09MB | Bilkent Treasury Dataset | analytics/regression/TR.dat |
| pwlinear | 177147 | 10 | 5.58MB | OPENML PWLinear Dataset | analytics/regression/BNG_pwLinear.csv |
| puma32h | 8192 | 32 | 2.40MB | Torgo Puma32H Dataset | analytics/regression/puma32H.csv |
| puma8nh | 8192 | 8 | 0.66MB | Torgo Puma8NH Dataset | analytics/regression/puma8NH.csv |
| 2dplanes | 40768 | 10 | 1.25MB | Torgo 2dplanes Dataset | analytics/regression/2dplanes.csv |
| pol | 15000 | 26 | 0.90MB | OPENML Pole Telecom Dataset | analytics/regression/pole_telecomm/pol_all.csv |
| solar | 1066 | 9 | 0.02MB | UCI Solar Flare Dataset | analytics/regression/solar/flare.data2 |
| qsar_47555 | 1158 | 51 | 0.12MB | OPENML QSAR Dataset(47555) | analytics/regression/qsar/qsar_47555.csv |
| qsar_31274 | 1189 | 132 | 0.31MB | OPENML QSAR Dataset(31274) | analytics/regression/qsar/clean_qsar_31274.csv |
| air | 999249 | 18 | 11.55MB | RITA Airline on-time Performance Dataset (1987 only) | analytics/regression/air_1987_clean.csv.gz |
| buzz_toms | 28179 | 96 | 1.53MB | UCI Social Media Buzz Dataset - Toms Hardware) | analytics/regression/buzz/TomsHardware.data.gz |
| buzz_twitter | 583250 | 77 | 31.76MB | UCI Social Media Buzz Dataset - Twitter | analytics/regression/buzz/Twitter.data.gz |
| qsar_47749 | 6003 | 610 | 7.02MB | OPENML QSAR Dataset(47749) | analytics/regression/qsar/qsar_47749.csv |
| olympic2000 | 66 | 11 | 0.00MB | Olympic2000 Dataset from "Analyzing Categorical Data" | analytics/regression/analcatdata_olympic2000.csv |
| qsar_191 | 4442 | 1023 | 8.71MB | OPENML QSAR Dataset(191) | analytics/regression/qsar/qsar_191.csv |
| qsar_33511 | 6003 | 420 | 4.85MB | OPENML QSAR Dataset(33511) | analytics/regression/qsar/clean_qsar_33511.csv |
| corn_m5spec_moisture | 80 | 700 | 0.48MB | NIR of Corn Samples for Standardization Benchmarking Dataset (Moisture) | analytics/regression/corn/corn_m5spec_moisture.tsv |
| corn_m5spec_oil | 80 | 700 | 0.48MB | NIR of Corn Samples for Standardization Benchmarking Dataset (Oil) | analytics/regression/corn/corn_m5spec_oil.tsv |
| corn_m5spec_protein | 80 | 700 | 0.48MB | NIR of Corn Samples for Standardization Benchmarking Dataset (Protein) | analytics/regression/corn/corn_m5spec_protein.tsv |
| corn_m5spec_starch | 80 | 700 | 0.48MB | NIR of Corn Samples for Standardization Benchmarking Dataset (Starch) | analytics/regression/corn/corn_m5spec_starch.tsv |
| qsar_12789 | 309 | 1024 | 0.62MB | OPENML QSAR Dataset(12789) | analytics/regression/qsar/qsar_12789.csv |
| energy_efficiency_1 | 768 | 9 | 0.04MB | UCI Energy Efficiency Dataset(Heating Load) | analytics/regression/energy_efficiency/ENB2012_data.csv |
| energy_efficiency_2 | 768 | 9 | 0.04MB | UCI Energy Efficiency Dataset(Cooling Load) | analytics/regression/energy_efficiency/ENB2012_data.csv |
| cbm_1 | 11934 | 14 | 1.17MB | UCI CBM Dataset(Compressor) | analytics/regression/cbm/data_compressor.csv |
| cbm_2 | 11934 | 14 | 1.17MB | UCI CBM Dataset(Turbine) | analytics/regression/cbm/data_turbine.csv |
| triazines | 186 | 58 | 0.04MB | Bilkent Triazines Dataset | analytics/regression/TZ.dat |
| cars_kbb | 804 | 17 | 0.04MB | R Caret Package KBB Price Cars Dataset | analytics/regression/cars_kbb.csv |
| chem | 176 | 57 | 0.04MB | Applied Predictive Modeling Chemical Manufacturing Dataset | analytics/regression/chemical_manufacturing_process.csv |
| crime_unnorm_autoTheft | 2211 | 102 | 1.14MB | UCI Communities Crime(unnorm-autoTheft) DataSet | analytics/regression/communities/unnorm/communities_autoTheft.csv |
| crime_unnorm_burgl | 2211 | 102 | 1.14MB | UCI Communities Crime(unnorm-burgl) DataSet | analytics/regression/communities/unnorm/communities_burgl.csv |
| crime_unnorm_larc | 2211 | 102 | 1.14MB | UCI Communities Crime(unnorm-larc) DataSet | analytics/regression/communities/unnorm/communities_larc.csv |
| crime_unnorm_nonViol | 2117 | 102 | 1.09MB | UCI Communities Crime(unnorm-nonViol) DataSet | analytics/regression/communities/unnorm/communities_nonViol.csv |
| crime_unnorm_violent | 1993 | 102 | 1.03MB | UCI Communities Crime(unnorm-violent) DataSet | analytics/regression/communities/unnorm/communities_violent.csv |
| crime_unnorm_total | 1901 | 102 | 0.98MB | UCI Communities Crime(unnorm-total) DataSet | analytics/regression/communities/unnorm/communities_total.csv |
| crime_unnorm_arsons | 2123 | 102 | 1.09MB | UCI Communities Crime(unnorm-arsons) DataSet | analytics/regression/communities/unnorm/communities_arsons.csv |
| crime_unnorm_assault | 2201 | 102 | 1.13MB | UCI Communities Crime(unnorm-assault) DataSet | analytics/regression/communities/unnorm/communities_assault.csv |
| crime_unnorm_rapes | 2006 | 102 | 1.03MB | UCI Communities Crime(unnorm-rapes) DataSet | analytics/regression/communities/unnorm/communities_rapes.csv |
| crime_unnorm_murd | 2214 | 102 | 1.13MB | UCI Communities Crime(unnorm-murd) DataSet | analytics/regression/communities/unnorm/communities_murd.csv |
| crime_unnorm_robbb | 2213 | 102 | 1.14MB | UCI Communities Crime(unnorm-robbb) DataSet | analytics/regression/communities/unnorm/communities_robbb.csv |
| ailerons | 13750 | 40 | 2.31MB | Ailerons Dataset | analytics/regression/ailerons/ailerons_all.csv |
| elevators | 16599 | 18 | 1.51MB | Elevators Dataset | analytics/regression/dataset_2202_elevators.csv |
| transcoding | 68784 | 19 | 7.19MB | UCI Video Transcoding Dataset | analytics/regression/transcoding_measurement.csv |
| sol_1 | 1267 | 228 | 1.81MB | Applied Predictive Modeling Solubility Dataset | analytics/regression/solubility/sol.csv |
| sol_2 | 632 | 228 | 0.41MB | Applied Predictive Modeling Solubility Dataset(trans) | analytics/regression/solubility/solTrans.csv |
| blood_brain | 208 | 127 | 0.18MB | Applied Predictive Modeling Blood Brain Barrier Dataset | analytics/regression/blood_brain.csv |
| aquatic_tox_1 | 322 | 23 | 0.03MB | R QSARData Package Aquatic Toxicity Dataset(lcalc) | analytics/regression/aquatic_tox/aquatic_tox_lcalc.csv |
| aquatic_tox_3 | 322 | 65 | 0.13MB | R QSARData Package Aquatic Toxicity Dataset(moe3d) | analytics/regression/aquatic_tox/aquatic_tox_moe3d.csv |
| aquatic_tox_4 | 319 | 48 | 0.07MB | R QSARData Package Aquatic Toxicity Dataset(qprop) | analytics/regression/aquatic_tox/aquatic_tox_qprop.csv |
| aquatic_tox_2 | 322 | 220 | 0.31MB | R QSARData Package Aquatic Toxicity Dataset(moe2d) | analytics/regression/aquatic_tox/aquatic_tox_moe2d.csv |
| cox2 | 462 | 205 | 0.49MB | R Caret Package Cox2 Dataset | analytics/regression/cox2.csv |
| melting_point | 4401 | 203 | 6.97MB | R QSARData Package Melting Point Dataset | analytics/regression/melting_point.csv |
| aloi | 108000 | 128 | 1.74MB | OPENML Aloi Dataset | analytics/regression/aloi.csv.gz |
| nci_60_90th_1 | 59 | 3489 | 1.20MB | NCI-60 Dataset(target: KRT18) | analytics/regression/nci-60/90th_1.csv |
| nci_60_90th_2 | 59 | 3489 | 1.20MB | NCI-60 Dataset(target: KRT19) | analytics/regression/nci-60/90th_2.csv |
| nci_60_90th_3 | 59 | 3489 | 1.20MB | NCI-60 Dataset(target: KRT7) | analytics/regression/nci-60/90th_3.csv |
| nci_60_90th_4 | 59 | 3489 | 1.20MB | NCI-60 Dataset(target: TP53_26_GBL00064) | analytics/regression/nci-60/90th_4.csv |
| nci_60_90th_5 | 59 | 3489 | 1.20MB | NCI-60 Dataset(target: VASP) | analytics/regression/nci-60/90th_5.csv |
| nci_60_90th_6 | 59 | 3489 | 1.20MB | NCI-60 Dataset(target: MSN_4) | analytics/regression/nci-60/90th_6.csv |
| nci_60_90th_7 | 59 | 3489 | 1.20MB | NCI-60 Dataset(target: CDKN2A) | analytics/regression/nci-60/90th_7.csv |
| nci_60_90th_8 | 59 | 3489 | 1.20MB | NCI-60 Dataset(target: KRT8) | analytics/regression/nci-60/90th_8.csv |
| nci_60_90th_9 | 59 | 3489 | 1.20MB | NCI-60 Dataset(target: TP53_10_24342) | analytics/regression/nci-60/90th_9.csv |
| qsar_36276 | 6003 | 39 | 0.88MB | OPENML QSAR Dataset(36726) | analytics/regression/qsar/qsar_36276.csv |
| qsar_47652 | 1731 | 83 | 0.29MB | OPENML QSAR Dataset(47652) | analytics/regression/qsar/qsar_47652.csv |
| blog_feedback | 52397 | 142 | 21.81MB | UCI Blog Feedback Dataset | analytics/regression/blog_feedback/clean_blogData_train.csv |
| online_news_pop | 39644 | 58 | 18.48MB | UCI Mashable Online News Popularity Dataset | analytics/regression/online_news_pop/OnlineNewsPopularity.csv |
| ct_slice | 53500 | 379 | 16.88MB | UCI CT Axis Prediction Dataset | analytics/regression/ct_slice_localization_data.csv.gz |
| loan_default | 105471 | 769 | 604.10MB | Loan Default Prediction Dataset from Kaggle | analytics/regression/loan_default_prediction/clean_train_v2_imputed.csv.gz |