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slates
sequence
R_bar_r
int64
r_tilde
int64
interest
int64
engagements
sequence
one_hot_engagements
sequence
__index_level_0__
int64
[ 116 ]
0
0
367
[ 0, 1, 0, 0 ]
[ 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
4,091,489
[ 29, 64, 65 ]
0
0
26
[ 2, 0, 1, 2 ]
[ 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
1,871,502
[ 208, 209, 210 ]
0
0
133
[ 0, 1, 0, 2 ]
[ 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
4,648,887
[ 997, 1005, 1010, 1003, 1009, 1002 ]
4
0
2
[ 1, 0, 1, 5 ]
[ 0, 1, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
4,579,398
[ 1120, 1112, 1113, 1114 ]
0
0
4,932
[ 2, 0, 1, 3 ]
[ 0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
4,036,280
[ 232, 208, 209, 210 ]
0
0
883
[ 1, 0, 1, 3 ]
[ 0, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
4,349,593
[ 934, 937, 936 ]
3
0
51
[ 0, 0, 0, 2 ]
[ 1, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
2,587,106
[ 42, 43, 42 ]
0
0
463
[ 2, 0, 1, 2 ]
[ 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
4,524,424
[ 945, 953, 952, 949 ]
0
0
338
[ 0, 1, 0, 3 ]
[ 1, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
383,833
[ 945, 951, 947, 948, 953, 950 ]
0
0
166
[ 2, 0, 1, 5 ]
[ 0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
857,203
[ 233, 661, 222, 418, 224 ]
1
0
925
[ 2, 0, 1, 4 ]
[ 0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
408,881
[ 1111, 1112, 1113, 1114 ]
1
0
3,756
[ 2, 0, 1, 3 ]
[ 0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
4,976,701
[ 997, 998, 1010, 1003, 1001, 1002 ]
2
0
401
[ 1, 0, 1, 5 ]
[ 0, 1, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
4,818,025
[ 160, 488, 254 ]
0
0
97
[ 2, 0, 1, 2 ]
[ 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
5,083,432
[ 30, 31 ]
2
0
187
[ 0, 0, 0, 1 ]
[ 1, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
2,614,468
[ 1060, 1063 ]
1
0
541
[ 1, 0, 1, 1 ]
[ 0, 1, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
4,722,395
[ 23, 24, 25 ]
0
0
6
[ 0, 0, 0, 2 ]
[ 1, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
3,486,222
[ 48, 49 ]
1
0
438
[ 1, 0, 1, 1 ]
[ 0, 1, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
5,138,284
[ 889, 893, 885, 891, 892 ]
2
0
44
[ 2, 1, 1, 4 ]
[ 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
772,550
[ 1350 ]
1
0
2,144
[ 0, 0, 0, 0 ]
[ 1, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
4,329,307
[ 67, 68, 92, 69, 70, 71, 216 ]
3
0
1,030
[ 0, 0, 0, 6 ]
[ 1, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
4,792,032
[ 1173, 1174, 1163 ]
1
0
1,255
[ 1, 0, 1, 2 ]
[ 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
1,739,674
[ 997, 998, 1003, 1001, 1002 ]
0
0
2
[ 0, 0, 0, 4 ]
[ 1, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
4,794,310
[ 1350 ]
0
0
88
[ 1, 1, 1, 0 ]
[ 0, 1, 0, 0, 1, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
3,336,965
[ 232, 208, 210 ]
3
0
56
[ 0, 0, 0, 2 ]
[ 1, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
4,554,035
[ 1011, 1005, 1010, 1003, 1001, 1002 ]
2
0
401
[ 1, 0, 1, 5 ]
[ 0, 1, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
4,007,369
[ 945, 951, 952, 949 ]
0
0
218
[ 0, 1, 0, 3 ]
[ 1, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
229,120
[ 735, 741, 739 ]
3
0
913
[ 0, 0, 0, 2 ]
[ 1, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
1,187,211
[ 1205, 1206 ]
1
0
546
[ 1, 0, 1, 1 ]
[ 0, 1, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
3,337,275
[ 20, 22 ]
0
0
1,506
[ 1, 0, 1, 1 ]
[ 0, 1, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
28,679
[ 151, 152, 153 ]
2
0
373
[ 0, 0, 0, 2 ]
[ 1, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
856,857
[ 997, 998, 999, 1003, 1001, 1002 ]
1
0
2
[ 2, 0, 1, 5 ]
[ 0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
4,506,977
[ 151, 152, 153 ]
1
0
627
[ 1, 0, 1, 2 ]
[ 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
233,545
[ 7, 8, 9 ]
1
0
523
[ 2, 0, 1, 2 ]
[ 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
1,405,442
[ 245, 246, 520 ]
0
0
780
[ 0, 0, 0, 2 ]
[ 1, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
1,001,918
[ 1115, 1116, 1130 ]
1
0
144
[ 1, 0, 1, 2 ]
[ 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
3,600,750
[ 208, 210 ]
0
0
381
[ 1, 0, 1, 1 ]
[ 0, 1, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
123,375
[ 151, 152, 153 ]
0
0
298
[ 1, 1, 1, 2 ]
[ 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
1,549,648
[ 1051, 1047, 1048 ]
1
0
543
[ 1, 0, 1, 2 ]
[ 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
5,167,943
[ 1111, 1112, 1113 ]
2
0
88
[ 0, 0, 0, 2 ]
[ 1, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
3,071,031
[ 1100, 1101 ]
1
0
6,064
[ 2, 0, 1, 1 ]
[ 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
2,085,235
[ 735, 742, 739 ]
0
0
3,070
[ 0, 0, 0, 2 ]
[ 1, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
174,069
[ 788, 789 ]
2
0
3,188
[ 2, 0, 1, 1 ]
[ 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
2,939,733
[ 288, 272, 518 ]
0
0
225
[ 0, 1, 0, 2 ]
[ 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
2,327,205
[ 159, 253, 254 ]
0
0
224
[ 2, 0, 1, 2 ]
[ 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
4,095,715
[ 1011, 1005, 1010, 1003, 1001, 1002 ]
1
0
3,995
[ 2, 1, 1, 5 ]
[ 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
3,058,808
[ 801, 789, 790 ]
2
0
3,214
[ 0, 0, 0, 2 ]
[ 1, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
530,684
[ 1100, 1103, 1102 ]
1
0
6,064
[ 2, 0, 1, 2 ]
[ 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
2,960,836
[ 250, 251, 252 ]
1
0
711
[ 1, 0, 1, 2 ]
[ 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
195,149
[ 1293, 1359, 1357 ]
1
0
169
[ 0, 0, 0, 2 ]
[ 1, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
4,180,035
[ 1112, 1113, 1127 ]
0
0
912
[ 2, 0, 1, 2 ]
[ 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
3,053,173
[ 1011, 1005, 1010, 1003, 1001, 1002 ]
1
0
230
[ 2, 0, 1, 5 ]
[ 0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
3,963,461
[ 752, 754, 755, 753 ]
2
0
3,227
[ 0, 0, 0, 3 ]
[ 1, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
2,291,224
[ 1051, 1047, 1048 ]
0
0
541
[ 1, 0, 1, 2 ]
[ 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
4,854,350
[ 910 ]
1
0
7
[ 2, 0, 1, 0 ]
[ 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
2,232,953
[ 997, 998, 1006, 1003, 1001, 1002 ]
1
0
401
[ 1, 0, 1, 5 ]
[ 0, 1, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
4,552,617
[ 248, 111, 112, 113, 411 ]
0
0
155
[ 0, 0, 0, 4 ]
[ 1, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
560,185
[ 945, 951, 947, 948, 949, 950 ]
0
0
152
[ 0, 0, 0, 5 ]
[ 1, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
3,188,250
[ 1082 ]
1
0
3,324
[ 1, 0, 1, 0 ]
[ 0, 1, 0, 1, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
4,303,367
[ 841, 834, 870 ]
1
0
1,294
[ 1, 0, 1, 2 ]
[ 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
5,088,645
[ 735, 736, 739 ]
1
0
913
[ 1, 0, 1, 2 ]
[ 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
798,823
[ 735, 742, 739 ]
1
0
200
[ 1, 0, 1, 2 ]
[ 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
418,261
[ 279, 208, 209, 210 ]
1
0
375
[ 2, 0, 1, 3 ]
[ 0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
427,341
[ 151, 152, 153 ]
1
0
445
[ 0, 0, 0, 2 ]
[ 1, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
1,648,023
[ 270, 55, 271 ]
0
0
100
[ 0, 0, 0, 2 ]
[ 1, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
950,872
[ 945, 951, 952, 949 ]
0
0
548
[ 1, 1, 1, 3 ]
[ 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
907,129
[ 1046, 1047, 1048 ]
1
0
188
[ 0, 0, 0, 2 ]
[ 1, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
2,270,416
[ 731, 747 ]
2
0
3,103
[ 2, 0, 1, 1 ]
[ 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
4,422,504
[ 282, 137, 138 ]
1
0
253
[ 1, 0, 1, 2 ]
[ 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
1,636,225
[ 20, 28 ]
2
0
164
[ 1, 0, 1, 1 ]
[ 0, 1, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
2,132,174
[ 303, 271 ]
1
0
21
[ 1, 0, 1, 1 ]
[ 0, 1, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
3,532,759
[ 752, 753 ]
0
0
3,227
[ 2, 0, 1, 1 ]
[ 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
2,012,086
[ 96, 508, 580, 99, 100, 554 ]
1
0
20
[ 1, 0, 1, 5 ]
[ 0, 1, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
3,081,927
[ 1218, 1219, 1220 ]
1
0
90
[ 1, 0, 1, 2 ]
[ 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
3,434,577
[ 30, 31 ]
1
0
895
[ 1, 0, 1, 1 ]
[ 0, 1, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
2,769,725
[ 997, 998, 1006, 1003, 1001, 1002 ]
1
0
947
[ 1, 0, 1, 5 ]
[ 0, 1, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
4,209,609
[ 42, 43, 42 ]
1
0
38
[ 1, 0, 1, 2 ]
[ 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
3,622,545
[ 59, 60, 61 ]
2
0
1,339
[ 0, 0, 0, 2 ]
[ 1, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
4,041,537
[ 1046, 1047, 1048 ]
0
0
130
[ 2, 0, 1, 2 ]
[ 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
1,170,292
[ 96, 97, 580, 99, 100, 554 ]
3
0
20
[ 1, 0, 1, 5 ]
[ 0, 1, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
954,986
[ 29 ]
1
0
9
[ 0, 0, 0, 0 ]
[ 1, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
383,008
[ 48, 49 ]
0
0
298
[ 1, 0, 1, 1 ]
[ 0, 1, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
1,024,273
[ 151, 152, 153 ]
1
0
445
[ 1, 0, 1, 2 ]
[ 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
270,859
[ 85, 86, 88, 95 ]
1
0
196
[ 1, 0, 1, 3 ]
[ 0, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
2,369,473
[ 788, 794, 795 ]
1
0
293
[ 1, 0, 1, 2 ]
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Dataset Card for Click Reco Slates

Data structure. The data contain three files that contain click logs. These are train.parquet, val.parquet (validate) and special.parquet.

The file format is: R_bar_r contains 0 for no click, or a i for a click on item i.
The interest contains the interests of the user.
The engagement contains other features that may help predict if the user clicks, one_hot_engagement is simply a one hot encoded representation of the engagements.

In addition the following embedding files are included:

products_embeddings.pt interest_embeddings.pt

which contain embeddings that can be indexed by the entries in slates (products_embbeddings.pt) or by the keyword (interest_embeddings.pt).

The train.parquet is intended for training and the val.parquet for validation - they are a randomized split. The special set special.parquet contains slates that are on a special list that are never seen in train and validate.

The motivation of this is that a click model for reco needs not to explain the data well as with likelihood, but to be capable of selecting new actions.

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