neuroQWERTY MIT-CSXPD Dataset 1.0.0

File: <base>/MIT-CS1PD/GT_DataPD_MIT-CS1PD.csv (3,248 bytes)
pIDgtupdrs108afTapsTapnqScoretypingSpeedfile_1file_2
11True14.25162.250.117542767189.372549021402930351.011_001_014.csv1403706430.011_003_014.csv
60False2162.250.070349855760.53333333331402932300.060_001_014.csv1403708258.060_003_014.csv
67True25.25133.750.223410598454.33333333331401117235.067_001_014.csv1401978395.067_003_014.csv
68False61590.074973178971.81401114972.068_001_014.csv1401980765.068_003_014.csv
70True26.25113.50.175750617339.61403508771404311419.070_001_014.csv1404743687.070_003_014.csv
71True13.75132.51530.1333680999106.2745098041410446321.071_001_014.csv1411655869.071_003_014.csv
72True17146.750.212423698879.12280701751403795516.072_001_014.csv1404832986.072_003_014.csv
73True23.2599.25164.250.0803071673115.5416666671418748996.073_001_014.csv1419870664.073_003_014.csv
74True11.25175.50.1075346858186.0784313731403792224.074_001_014.csv1404747197.074_003_014.csv
75True12.7579.25158.750.1490557436176.1176470591407421738.075_001_014.csv1409756763.075_003_014.csv
76False0136.751770.0863080144249.7254901961407423449.076_001_014.csv1409754834.076_003_014.csv
77False2.251500.034512670879.73333333331403797570.077_001_014.csv1404834530.077_003_014.csv
78True39.2549.5191.750.2734730058851410450204.078_001_014.csv1412088758.078_003_014.csv
79False1.25148.75173.750.097357609582.52631578951410451895.079_001_014.csv1412090543.079_003_014.csv
80True39.592125.50.155415583670.66666666671404819923.080_001_014.csv1408630965.080_003_014.csv
81False4.251580.078277416357.53333333331404313658.081_001_014.csv1404745424.081_003_014.csv
82True32.596196.750.075355847233.51404830509.082_001_014.csv1407425493.082_003_014.csv
83False2.75152164.50.0516824073110.6666666671404828566.083_001_014.csv1407427375.083_003_014.csv
84True22.2597.75156.250.078486555799.92156862751407163319.084_001_014.csv1408982860.084_003_014.csv
85False2.5107.75159.50.0696982104.0784313731407165254.085_001_014.csv1408980899.085_003_014.csv
86True14.25114.75133.250.0581058537119.7916666671408976968.086_001_014.csv1410274781.086_003_014.csv
87False2.75118.25140.50.0536730555188.0416666671408979136.087_001_014.csv1410276815.087_003_014.csv
88True13.75951570.0913513692105.1666666671408372533.088_001_014.csv1409235978.088_003_014.csv
89False0144.25164.50.0801528385149.3333333331408374282.089_001_014.csv1409238087.089_003_014.csv
92True21.5101.251450.190945649781.01754385961410272175.092_001_014.csv1412086661.092_003_014.csv
93True21116190.750.107030776180.94736842111408376132.093_001_014.csv1412694503.093_003_014.csv
94False4142157.250.049936580585.49019607841408378153.094_001_014.csv1412692310.094_003_014.csv
95False1.5213181.750.0754485608188.8148148151410448218.095_001_014.csv1411657572.095_003_014.csv
97True2592188.750.150019731997.01960784311408029544.097_001_014.csv1408633211.097_003_014.csv
98True2987176.750.153230658559.93939393941418744709.098_001_014.csv1419866851.098_003_014.csv
99False1.596.51800.057457959292.37037037041418746466.099_001_014.csv1419868806.099_003_014.csv