instruction stringclasses 561
values | input stringlengths 6 3.51k | output stringlengths 1 755 | arc_task stringlengths 149 20.5k ⌀ | test_index int64 0 1 ⌀ | earlier_output stringclasses 1
value | benchmark stringlengths 48 181 |
|---|---|---|---|---|---|---|
SIMON-SOLVE-V1 'O2T' predict the raw pixels | I0
11 11 6,,a6f0a6,a60d60a6,a60612a60a6,a6062a160a6,a60b6260a6,a60d60a6,a6f0a6,6,
O0
11 11 6,,a6f0a6,,a6a0126a0a6,a6a02a1a0a6,a6a0a62a0a6,a6f0a6,,6,
I1
13 14 6,,a6f0c6,a60d60c6,a601c60c6,a6062b60c6,a60d60c6,,,a6f0c6,6,,,
O1
13 14 6,,a6f0c6,,a6016c0c6,a6062c0c6,a6f0c6,,,,6,,,
I2T
9 13 6,a6d0a6,a606260a6,a60a610a6,a606a2... | 666666666
660000066
660026066
660061066
660022066
660016066
660016066
660000066
660000066
660000066
660000066
660000066
666666666 | {"train":[{"input":[[6,6,6,6,6,6,6,6,6,6,6],[6,6,6,6,6,6,6,6,6,6,6],[6,6,0,0,0,0,0,0,0,6,6],[6,6,0,6,6,6,6,6,0,6,6],[6,6,0,6,1,2,6,6,0,6,6],[6,6,0,6,2,1,1,6,0,6,6],[6,6,0,6,6,6,2,6,0,6,6],[6,6,0,6,6,6,6,6,0,6,6],[6,6,0,0,0,0,0,0,0,6,6],[6,6,6,6,6,6,6,6,6,6,6],[6,6,6,6,6,6,6,6,6,6,6]],"output":[[6,6,6,6,6,6,6,6,6,6,6],[... | 0 | dataset=solve_boundingbox group=boundingbox_inner simple_fill predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c | |
simonsolveversion1 predict pixels for 'O2T' | I0
7 6 63a6a30,6d70,3080606,a608a68,03686a3,a606803
O0
7 6 5,a5b8a5,5,,,
I1
11 5 d3a8c3,a38b96c3,6830a3c93,630g3,30h3
O1
11 5 5b8c5a85,c58b5a85,f5a8a5,c5e85,b5f85
I2T
5 11 a9797,9,79797,94797,79459,72a95,72947,72679,26b9,297a9,74b9
O2T
None | 55555
58885
55555
55555
55555
55555
55555
55555
55585
55555
55585 | {"train":[{"input":[[6,3,6,6,3,3,0],[6,7,7,7,7,7,0],[3,0,8,0,6,0,6],[6,6,0,8,6,6,8],[0,3,6,8,6,3,3],[6,6,0,6,8,0,3]],"output":[[5,5,5,5,5,5,5],[5,5,8,8,8,5,5],[5,5,5,5,5,5,5],[5,5,5,5,5,5,5],[5,5,5,5,5,5,5],[5,5,5,5,5,5,5]]},{"input":[[3,3,3,3,3,8,8,3,3,3,3],[3,3,8,9,9,9,6,3,3,3,3],[6,8,3,0,3,3,9,9,9,9,3],[6,3,0,3,3,3,... | 0 | dataset=solve_erosion group=erosion lr2 predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=a | |
simon-solve-v1 'O4T' predict the pixels | I0
9 14 7,b79d7,9g7,7b9d7,79f7,7,c79a7a9,7,e5b7,e5a79,e5b7,9e797,7,
O0
9 14 7,,,,,,,,e5b7,,,7,,
I1
14 6 b9g79a7,a7979e7979,f79e7,e7a979a7a9,a9e7b5b9,7a9a7a979c79
O1
14 6 7,,,,g7b5b7,7
I2
6 11 7,b7959,9b757,c759,c757,9b757,c759,a79757,79a757,,979b7
O2
6 11 7,c757,,,,,,,,,7
I3T
11 8 9g797,7h57,,7h59,g79a7,7,c79e7,g79a7
O... | 75557777
75557777
75557777
77777777
77777777
77777777 | {"train":[{"input":[[7,7,7,7,7,7,7,7,7],[7,7,7,9,7,7,7,7,7],[9,7,7,7,7,7,7,7,7],[7,9,9,9,7,7,7,7,7],[7,9,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7],[7,7,7,7,9,7,7,9,9],[7,7,7,7,7,7,7,7,7],[5,5,5,5,5,5,7,7,7],[5,5,5,5,5,5,7,7,9],[5,5,5,5,5,5,7,7,7],[9,7,7,7,7,7,7,9,7],[7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7]],"output":[[7,7,7,7,... | 1 | dataset=solve_zindex group=mask_of_primary_rectangle predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b | |
SIMON-SOLVE-VERSION1 predict pixels for 'O5T' | I0
15 17 8,,,,,b8a3c6e8,,b8c3a6e8,,b8a3a6a3e8,,8,,,,,
O0
18 18 g6c3a6c3,,i6a3c6a3,,g6a3c6a3a6,,m6c3,,o6a3,,m6a3a6,,g6c3e6,,i6a3e6,,g6a3g6,
I1
13 15 8,b8a3a6e8,,,,b8a6a3e8,,8,,,,,,,
O1
8 18 e6a3,,,,c6a3a6,,e6a3,,,,c6a3a6,,a6a3c6,,,,a3e6,
I2
10 15 8,,,,,a8a3c6a8,,a8a6a3a6a8,,a8e3a8,,8,,,
O2
18 18 g6c3a6c3,,e6a3a6c3a6a3,,... | 666666663366666666
666666663366666666
666666663333666666
666666663333666666
666666663366663366
666666663366663366
666666663333663333
666666663333663333 | {"train":[{"input":[[8,8,8,8,8,8,8,8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8,8,8,8,8,8,8,8],[8,8,8,3,3,6,6,6,6,8,8,8,8,8,8],[8,8,8,3,3,6,6,6,6,8,8,8,8,8,8],[8,8,8,3,3,3,3,6,6,8,8,8,8,8,8],[8,8,8,3,3,3,3,6,6,8,8,8,8,8,8],[8,8,8,3,3,6... | 1 | dataset=solve_fractal group=pattern_to_fractal predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=d | |
Simon-Solve-Version1 predict pixels for O3T | I0
11 18 81818a18018,01a818181a8,e81c8,b1b8a18a1,1b81b81a8,e810801,8a18a1c81,08181810181,81a8b180a8,a81d8a18,181b81a8a1,c8a108181,a81b8b180,18a10a81a81,1b8a180a81,a1b8181b8,1g8a1,a818a1801a8
O0
10 18 a48a94a894,b484b8a4,9a484b894,89484a8489,a94848c9,a948489484,8a4a8a9a49,9a4a848949,894a8a4848,4848984849,,4848a94848,484... | 84488484899
84484884484
84484848448
84484848448
99488848448
84488848948
48488848448
48488848848
48488448848
48488448848
48488448848
48488448884
48488848844 | {"train":[{"input":[[8,1,8,1,8,1,1,8,0,1,8],[0,1,8,8,1,8,1,8,1,8,8],[8,8,8,8,8,8,1,8,8,8,8],[1,1,1,8,8,8,1,1,8,1,1],[1,8,8,8,1,8,8,8,1,8,8],[8,8,8,8,8,8,1,0,8,0,1],[8,1,1,8,1,1,8,8,8,8,1],[0,8,1,8,1,8,1,0,1,8,1],[8,1,8,8,1,1,1,8,0,8,8],[8,8,1,8,8,8,8,8,1,1,8],[1,8,1,8,8,8,1,8,8,1,1],[8,8,8,8,1,1,0,8,1,8,1],[8,8,1,8,8,8... | 0 | dataset=solve_mass group=mass_compare_adjacent_columns predict=rawpixels earlier_prediction=none image_width=large image_height=medium task_pixels=c | |
simon-solve-version1, O3T, predict raw pixels | I0
13 10 373i5,a73i5,,b7i5,737i5,373i5,a73i5,b7i5,3a7c5c9a5,b7c5c9a5
O0
13 10 373i5,a73i5,,b7i5,737i5,373i5,a73i5,b7i5,3a7i5,b7i5
I1
14 12 i73b7,b73i7,e73c73a7,3l5,7l5,,7c5h9,,,,3c7h9,3a7373d7b3
O1
14 12 i73b7,b73i7,e73c73a7,3l5,7l5,,,,,,3c7h9,3a7373d7b3
I2T
8 14 7,,b7373a7,7f3,9a7a3a73,,93b7b3,93b73a7,9c5737,9c5b3,d5a... | 777777737773777
377555555555555
737555555555555
377555555555555
737555555555555
733555555555555
777555555555555
777555555555555
777555555555555
777555555555555
777773737777777 | {"train":[{"input":[[3,7,3,5,5,5,5,5,5,5,5,5,5],[7,7,3,5,5,5,5,5,5,5,5,5,5],[7,7,3,5,5,5,5,5,5,5,5,5,5],[7,7,7,5,5,5,5,5,5,5,5,5,5],[7,3,7,5,5,5,5,5,5,5,5,5,5],[3,7,3,5,5,5,5,5,5,5,5,5,5],[7,7,3,5,5,5,5,5,5,5,5,5,5],[7,7,7,5,5,5,5,5,5,5,5,5,5],[3,7,7,5,5,5,5,9,9,9,9,5,5],[7,7,7,5,5,5,5,9,9,9,9,5,5]],"output":[[3,7,3,5,... | 1 | dataset=solve_zindex group=move_obscured_rectangle_to_top predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c | |
simon-solve-v1 'O4T' predict the pixels | I0
8 5 1,a1a46b1,a1a86b1,1,
O0
15 2 a46a46a4a6a4a86,a86a86a8a6a8a46
I1
7 10 1,b164a1,,b146a1,b165a1,,b1a6a1,,,1
O1
10 8 64646a4b6,,46464a64a6,65656a5a65,,g646,h64,
I2
12 5 1,,b1a3b013a1,a1a3a910c1,1
O2
40 2 1a3b0131a3b0131a3b01a31b0a31a3a910a1,a3a910a1a3a910a1a3a910c101a9a31a3b013
I3
8 7 1,b129b1,b1a0b1,b1a3b1,b127b1,b... | 2278222782227822872281228
8488884888848888884818888
4282842828428288282442828
1888818888188888888184888
8122881228812288221822782 | {"train":[{"input":[[1,1,1,1,1,1,1,1],[1,1,4,4,6,1,1,1],[1,1,8,8,6,1,1,1],[1,1,1,1,1,1,1,1],[1,1,1,1,1,1,1,1]],"output":[[4,4,6,4,4,6,4,4,6,6,4,4,8,8,6],[8,8,6,8,8,6,8,8,6,6,8,8,4,4,6]]},{"input":[[1,1,1,1,1,1,1],[1,1,1,6,4,1,1],[1,1,1,6,4,1,1],[1,1,1,4,6,1,1],[1,1,1,6,5,1,1],[1,1,1,6,5,1,1],[1,1,1,6,6,1,1],[1,1,1,6,6,... | 0 | dataset=solve_symmetry group=rect hstack(orig orig orig flipx flipy) padded predict=rawpixels earlier_prediction=none image_width=other image_height=small task_pixels=b | |
simonsolvev1 predict pixels for O3T | I0
15 8 60d65c6570,f6076765a6,c065b6a5a675,46e4c0570,4a6a4b6f4,4a6764b6056056,4a60a6a460a67a6,7670c64c656
O0
15 8 06454a075a75a68,b045406a56a758,6e4c05708,67d60e48,607a648a0560568,6a0686480a67a68,6706a86a86a85a8,8
I1
13 6 b05c91c0,b05a1b0b10,065b0c1b0,065b1b01a01,06b0c2c0,0a1c010b20
O1
13 6 515a1c0a1a8,651b0b1b08,65b12... | 588508
088858
888888 | {"train":[{"input":[[6,0,6,6,6,6,6,5,6,6,6,6,5,7,0],[6,6,6,6,6,6,6,0,7,6,7,6,5,6,6],[0,0,0,0,6,5,6,6,6,5,5,6,6,7,5],[4,6,4,4,4,4,4,4,0,0,0,0,5,7,0],[4,6,6,4,4,6,6,6,4,4,4,4,4,4,4],[4,6,6,7,6,4,6,6,6,0,5,6,0,5,6],[4,6,6,0,6,6,4,4,6,0,6,6,7,6,6],[7,6,7,0,6,6,6,6,4,6,6,6,6,5,6]],"output":[[0,6,4,5,4,0,0,7,5,7,7,5,6,6,8],[... | 0 | dataset=solve_probecolor group=probecolor_bottomright predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b | |
SIMON-SOLVE-V1, 'O3T', predict the pixels | I0
13 10 5a92a5252c5,535b9b52a32,525253a2a3232,b5a25a32c5,5b2a325a3b2,3a5b352a5b2,35232b525b2,a5a2b52a5a25,25e2a5232,b23b2b3523
O0
13 10 8a59a2525c2,853b5b95a23,852525a3a2323,b8a52a53c2,8b5a232a5b3,8a3b535a2b5,83523b252b5,a8a5b25a2a52,82e5a2523,b82b3b2352
I1
22 17 j90i9,k9a0g9,m90f9,n90e9,o9a0c9,q90b9,r9a09,t90,9,,,,,,... | 8
8
8
8
8
8
8
8
8 | {"train":[{"input":[[5,9,9,2,5,5,2,5,2,5,5,5,5],[5,3,5,9,9,9,5,5,5,2,3,3,2],[5,2,5,2,5,3,2,2,3,3,2,3,2],[5,5,5,2,2,5,3,3,2,5,5,5,5],[5,2,2,2,3,3,2,5,3,3,2,2,2],[3,5,5,3,3,3,5,2,5,5,2,2,2],[3,5,2,3,2,5,5,5,2,5,2,2,2],[5,5,2,2,5,5,5,2,5,5,2,2,5],[2,5,2,2,2,2,2,2,5,5,2,3,2],[2,2,2,3,2,2,2,3,3,3,5,2,3]],"output":[[8,5,5,9,... | 0 | dataset=solve_probecolor group=probecolor_left predict=rawpixels earlier_prediction=none image_width=large image_height=medium task_pixels=c | |
simon-solve-v1, 'O2T', predict the pixels | I0
9 27 b2b4242,4a2b4b2,a4c2424,b2b42a4,424b2b4,f4a2,4a2a4b24,a4d242,a24242a42,42424c2,4a2a42b4,42a42a424,42424a242,6,a4c2b4,2c42b4,c4b2a4,4b2b4a2,424a242a4,2c42b4,42a42c4,42f4,e4242,2e424,a2e42,2d4a24,42a42c4
O0
9 13 a17c171,b1a7c1,a7a1a7a17,1a71a7b1,d7a1a7,1c717a1,a717c17,7e171,a1717a1a7,a1717a171,171a71a71,a1a7171a7... | 77
17
17
17
77 | {"train":[{"input":[[2,2,2,4,4,4,2,4,2],[4,2,2,4,4,4,2,2,2],[4,4,2,2,2,2,4,2,4],[2,2,2,4,4,4,2,4,4],[4,2,4,2,2,2,4,4,4],[4,4,4,4,4,4,4,2,2],[4,2,2,4,4,2,2,2,4],[4,4,2,2,2,2,2,4,2],[2,2,4,2,4,2,4,4,2],[4,2,4,2,4,2,2,2,2],[4,2,2,4,4,2,4,4,4],[4,2,4,4,2,4,4,2,4],[4,2,4,2,4,2,2,4,2],[6,6,6,6,6,6,6,6,6],[4,4,2,2,2,2,4,4,4],... | 0 | dataset=solve_bool group=xor predict=rawpixels earlier_prediction=none image_width=small image_height=large task_pixels=b | |
SIMON-SOLVE-V1, O4T, predict pixels | I0
6 20 2,,,,,,,,,,,,,,,,,b26a2,2,
O0
6 20 b97a9,,,,,,,,,,,,,,,b9797,b9a79,7,a9a7a9,9797a9
I1
11 16 2,,,,,,a29g2,2,g25a2,2,,,,,,
O1
11 16 a97d97a9,a97c9a7a9,a97b9797a9,a97a97a97a9,a9797b97a9,a9a7c97a9,7,9a7d9a79,7,a97c9a7a9,a97b9797a9,a97a97a97a9,a9797b97a9,a9a7c97a9,a97d97a9,9a7d97a9
I2
15 19 2,,,,,,,,d23h2,2,l212,m24... | 999997799
777777777
999977999
999797999
997997999
979997999
799997999
999997999
999997999 | {"train":[{"input":[[2,2,2,2,2,2],[2,2,2,2,2,2],[2,2,2,2,2,2],[2,2,2,2,2,2],[2,2,2,2,2,2],[2,2,2,2,2,2],[2,2,2,2,2,2],[2,2,2,2,2,2],[2,2,2,2,2,2],[2,2,2,2,2,2],[2,2,2,2,2,2],[2,2,2,2,2,2],[2,2,2,2,2,2],[2,2,2,2,2,2],[2,2,2,2,2,2],[2,2,2,2,2,2],[2,2,2,2,2,2],[2,2,2,6,2,2],[2,2,2,2,2,2],[2,2,2,2,2,2]],"output":[[9,9,9,7,... | 0 | dataset=solve_ray group=emit_rays_from_lonely_pixels predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c | |
simon-solve-v1, O2T, predict pixels | I0
15 12 5e4g5,54c54g5,54c545b4c5,54c545454c5,5e45b4c5,5,h5b4b5,h5454b5,5d4b5454b5,54b54b5b4b5,5d4h5,5
O0
15 12 5e4g5,,5e45b4c5,,,5,h5b4b5,,5d4b5b4b5,,5d4h5,5
I1
10 10 5,,d5b4a5,d5454a5,c45454a5,4a545454a5,,c45b4a5,5,
O1
10 10 5,,d5b4a5,,c45b4a5,,,,5,
I2T
16 14 a5f4f5,a54d54f5,,,,a5f4f5,5,d5b4g5,d5454g5,,,,d5b4g5,5
O2T... | 5544444445555555
5544444445555555
5544444445555555
5544444445555555
5544444445555555
5544444445555555
5555555555555555
5555544455555555
5555544455555555
5555544455555555
5555544455555555
5555544455555555
5555544455555555
5555555555555555 | {"train":[{"input":[[5,4,4,4,4,4,4,5,5,5,5,5,5,5,5],[5,4,5,5,5,5,4,5,5,5,5,5,5,5,5],[5,4,5,5,5,5,4,5,4,4,4,5,5,5,5],[5,4,5,5,5,5,4,5,4,5,4,5,5,5,5],[5,4,4,4,4,4,4,5,4,4,4,5,5,5,5],[5,5,5,5,5,5,5,5,5,5,5,5,5,5,5],[5,5,5,5,5,5,5,5,5,4,4,4,5,5,5],[5,5,5,5,5,5,5,5,5,4,5,4,5,5,5],[5,4,4,4,4,4,5,5,5,4,5,4,5,5,5],[5,4,5,5,5,4... | 0 | dataset=solve_rectangle group=rectangle fill_the_hollow_rectangles predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c | |
Simon-Solve-Version1 predict pixels for O2T | I0
2 16 35,,31,30,,,,34,,54,,,34,,54,15
O0
2 16 9,,,,,,,,,09,,,9,,,
I1
10 7 14b14a141,b41a41b4,1a4a1b414,3,a47a41a8a4,1b4a8b14,a4a87a1b4
O1
10 7 e9a0a9,e90b9,9,,,,
I2T
16 18 7c47a471e4,d4545c4a7a4,a7g475c4,4a7c4547415454,g47e47,c4a1h45,b47a47a45e4,a4a140c4541a47,c40a75e4a7,54740a451a41a454,4740d47d47,b40i454,a40417e41b... | 9999999999999999
9999999999999999
9999999999099999
9999999990999999
9999999909999999
9999999999999999
9999999999999999
9999999999999990
9999999999999900
9999999999999999
9999999999999999
9999999999999999
9999999999999999
9999999999999999
9999999999999999
0999999999999999
0999999999999999
0999999999999999 | {"train":[{"input":[[3,5],[3,5],[3,1],[3,0],[3,0],[3,0],[3,0],[3,4],[3,4],[5,4],[5,4],[5,4],[3,4],[3,4],[5,4],[1,5]],"output":[[9,9],[9,9],[9,9],[9,9],[9,9],[9,9],[9,9],[9,9],[9,9],[0,9],[0,9],[0,9],[9,9],[9,9],[9,9],[9,9]]},{"input":[[1,4,1,1,1,4,1,1,4,1],[4,4,4,1,4,4,1,4,4,4],[1,4,4,1,1,4,4,4,1,4],[3,3,3,3,3,3,3,3,3,... | 0 | dataset=solve_mass group=mass3_all8 predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=c | |
SIMON-SOLVE-VERSION1, O3T, predict pixels | I0
7 8 3,d3a1,b3a132,321a342,a323a23,b3a273,a323273,32b373
O0
7 8 8,86d8,8,,,,,
I1
10 4 a424a2a8a4,a2e424,42a42d4,4
O1
10 4 8,,e86b8,8
I2
4 10 b97,7b9,2b9,,9,7b9,72a9,92a9,9,
O2
4 10 8,,a868,,,8,,,,
I3T
10 8 0,,08g0,a08f0,0,,,
O3T
None | 8888888888
8886666668
8888666668
8888666668
8888666668
8666666668
8666666668
8888888888 | {"train":[{"input":[[3,3,3,3,3,3,3],[3,3,3,3,3,1,1],[3,3,3,1,1,3,2],[3,2,1,3,3,4,2],[3,3,2,3,2,2,3],[3,3,3,2,2,7,3],[3,3,2,3,2,7,3],[3,2,3,3,3,7,3]],"output":[[8,8,8,8,8,8,8],[8,6,8,8,8,8,8],[8,8,8,8,8,8,8],[8,8,8,8,8,8,8],[8,8,8,8,8,8,8],[8,8,8,8,8,8,8],[8,8,8,8,8,8,8],[8,8,8,8,8,8,8]]},{"input":[[4,4,2,4,2,2,8,8,4,4]... | 0 | dataset=solve_outline group=outline_all8 predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a | |
SIMONARCHISTOGRAM, histogram-b excluding histogram-a colors | 4:948,5:574,2:159
8:1490,5:1231,2:1156,0:802,4:531,6:167,3:9,7:7 | 8:1490,0:802,6:167,3:9,7:7 | null | null | null | dataset=histogram_two group=b_remove_a_colors histogram_size=d |
simonsolvev1, 'O2T', predict the raw pixels | I0
4 11 3b1,12a1,1293,,8321,8421,8323,a323,b32,3132,a142
O0
4 11 1421,b13,2b1,2931,,3218,4218,3238,32a3,a323,1323
I1
11 8 8,,,,,,,
O1
11 8 8,,,,,,,
I2T
8 10 7b47a47,747a4734,c73b7,34a7a4a7,b4a7a47,747a4747,7a3b737,7a47a474,73743a47,3b74737
O2T
None | 77747373
44474477
47447347
77737777
47744773
44774474
47447477
33777377
44744747
37434477 | {"train":[{"input":[[3,1,1,1],[1,2,1,1],[1,2,9,3],[1,2,9,3],[8,3,2,1],[8,4,2,1],[8,3,2,3],[3,3,2,3],[3,3,3,2],[3,1,3,2],[1,1,4,2]],"output":[[1,4,2,1],[1,1,1,3],[2,1,1,1],[2,9,3,1],[2,9,3,1],[3,2,1,8],[4,2,1,8],[3,2,3,8],[3,2,3,3],[3,3,2,3],[1,3,2,3]]},{"input":[[8,8,8,8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8,8,8,8],[8,8,8,8,... | 0 | dataset=solve_translate group=translate_xminus1yplus1 predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=a | |
simonsolvev1, O3T, predict raw pixels | I0
12 14 2,,,j29,,2,,,,,,j29,,a29c2b9a2
O0
11 13 a81c8b18,,,a15c1b51,,a81c8b18,,,,,,a15c1b51,
I1
12 12 2,,j29,,,,2,,j29,,2,2c92b9b2
O1
11 11 8c18b1a8,,1c51b5a1,,,,8c18b1a8,,1c51b5a1,,8c18b1a8
I2
20 12 c2e9c2d92,r29,,,2,,,r29,,,2,
O2
19 11 c1e5c1d5,,,c8e1c8d1,,,c1e5c1d5,,,c8e1c8d1,
I3T
16 7 2e9c292b9,2,,9n2,2,,9n2
O3T
N... | 111111888818111
111111888818111
555555111151555
111111888818111
111111888818111
555555111151555 | {"train":[{"input":[[2,2,2,2,2,2,2,2,2,2,2,2],[2,2,2,2,2,2,2,2,2,2,2,2],[2,2,2,2,2,2,2,2,2,2,2,2],[2,2,2,2,2,2,2,2,2,2,2,9],[2,2,2,2,2,2,2,2,2,2,2,9],[2,2,2,2,2,2,2,2,2,2,2,2],[2,2,2,2,2,2,2,2,2,2,2,2],[2,2,2,2,2,2,2,2,2,2,2,2],[2,2,2,2,2,2,2,2,2,2,2,2],[2,2,2,2,2,2,2,2,2,2,2,2],[2,2,2,2,2,2,2,2,2,2,2,2],[2,2,2,2,2,2,2... | 0 | dataset=solve_span group=alternating_intersection sum outputborder=False predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c | |
SIMON-SOLVE-V1 predict pixels for 'O4T' | I0
17 22 b9a3a93a92393293,c3c9b8932b9,b23b93939853939,93c932a9a59a3a9,a9a3d9539a39a3,a93b93a593a9a392,3b93a53932d93,c95a939b29a329,92a523a9393e9,36a9a39d3b939,3639a2939439a39a3,96b9a394b9b3a9,363c94c93a9a3,96a93943d923a9,926394a2a9a3a9a23,a96924939a39a3a93,396349b3g9,9364a9393c93b9,394c93c9a3939,32h9a32939,c92a393923a9... | 92555550 | {"train":[{"input":[[9,9,9,3,3,9,9,3,9,9,2,3,9,3,2,9,3],[3,3,3,3,9,9,9,9,8,8,8,9,3,2,9,9,9],[2,2,2,3,9,9,9,3,9,3,9,8,5,3,9,3,9],[9,3,9,9,9,9,3,2,9,9,5,5,9,3,3,9,9],[9,9,3,3,9,9,9,9,9,5,3,9,3,3,9,3,3],[9,9,3,9,9,9,3,5,5,9,3,9,9,3,3,9,2],[3,9,9,9,3,5,5,3,9,3,2,9,9,9,9,9,3],[9,9,9,9,5,9,9,3,9,2,2,2,9,3,3,2,9],[9,2,5,5,2,3... | 0 | dataset=solve_probecolor group=probecolor_right predict=rawpixels earlier_prediction=none image_width=medium image_height=large task_pixels=c | |
SIMON-SOLVE-VERSION1, 'O5T', predict the raw pixels | I0
23 24 b967976796797b9a2a4a9,6b96a97h9a4c9,96b96967c96b47d9,a967696d9a496976b97,96c96a9b4c967b979,a9696a9a4c97b97d9,97a9b4i9797b9,a9a4g97b967d9,547c9796e96797b9,5a9a696a9796d9797679,56b9a6a9a6e97a6969,5o97a6979,5i96e96c9,5969767c97a96a96a7b9,959b6g96969796a9,795b9696b96a969a7b97,b9a5a9a67969696a97c9,d95a96d9a6a97b96,... | 31225
33355
35257 | {"train":[{"input":[[9,9,9,6,7,9,7,6,7,9,6,7,9,7,9,9,9,2,2,4,4,9,9],[6,9,9,9,6,9,9,7,9,9,9,9,9,9,9,9,9,4,4,9,9,9,9],[9,6,9,9,9,6,9,6,7,9,9,9,9,6,4,4,4,7,9,9,9,9,9],[9,9,6,7,6,9,6,9,9,9,9,9,4,4,9,6,9,7,6,9,9,9,7],[9,6,9,9,9,9,6,9,9,4,4,4,9,9,9,9,6,7,9,9,9,7,9],[9,9,6,9,6,9,9,4,4,9,9,9,9,7,9,9,9,7,9,9,9,9,9],[9,7,9,9,4,4... | 1 | dataset=solve_probecolor group=probecolor_left predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=d | |
SIMON-SOLVE-V1 predict pixels for 'O5T' | I0
14 9 c27b2321a21,a0267323c232,41b01a3d23,24373a01272321,2417a12b0c2,743721a2320623,2427273b27623,37431b23a2a62,a243b1c4232
O0
14 9 i45a45,a4c545e4,45b4b5d45,a454c5454545,545b4g5,j5454,5,b5a4h5,5
I1
4 10 47a4,9a46,2756,7969,9464,4645,7695,94a2,2942,4249
O1
4 10 45a4,b54,5454,5a45,5454,b54,5,4,4b5,5
I2
15 11 a717a3d79... | 544454545
545444444
554544444
544544444
555454455
555444455
555555555
555555555
555555555 | {"train":[{"input":[[2,2,2,2,7,2,2,2,3,2,1,2,2,1],[0,0,2,6,7,3,2,3,2,2,2,2,3,2],[4,1,0,0,0,1,3,3,2,2,2,2,2,3],[2,4,3,7,3,0,0,1,2,7,2,3,2,1],[2,4,1,7,1,1,2,0,0,0,2,2,2,2],[7,4,3,7,2,1,2,2,3,2,0,6,2,3],[2,4,2,7,2,7,3,2,2,2,7,6,2,3],[3,7,4,3,1,2,2,2,3,2,2,6,6,2],[2,2,4,3,1,1,1,4,4,4,4,2,3,2]],"output":[[4,4,4,4,4,4,4,4,4,... | 0 | dataset=solve_half group=half_bottom_all8 predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c | |
Simon-Solve-Version1 predict pixels for O2T | I0
51 27 7,,,,,,,,f7k6c8g6c8g6g7,,,,f7k6c8c6g8c6c8g7,,,,f7k6c8s6g7,,,,f7k6c8c6c8k6g7,,,,7,,
O0
6 4 a8c6,,a8a6a8,
I1
44 38 7,a7c6c8s6c8c6e7,,,,a7k8k6k8e7,,,,a7g6c8s6c8e7,,,,a7z6h6e7,,,,,,,,,,,,a7c6c8g6c8o6e7,,,,a7w8k6e7,,,,a7g6c8g6c8k6e7,,,,7
O1
6 6 a6a8a6,,8,,c6a8,
I2T
27 47 7,,,,e7o6d7,,,,e7c8c6c8c6d7,,,,e7o8d7,,,,e7o... | 6666
6666
8866
8866
8888
8888 | {"train":[{"input":[[7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7... | 0 | dataset=solve_fractal group=fractal_to_pattern predict=rawpixels earlier_prediction=none image_width=other image_height=other task_pixels=e | |
Simon-Solve-V1, 'O3T', predict the pixels | I0
15 14 7,b70j7,7,b75j7,b759i7,7,,,,,i7a3b7,,,
O0
15 14 7,b7a3i7,,,,7,,,,,i70c7,7,i75c7,i759b7
I1
14 9 7,,,c3735a8d7,c3725a8d7,7,,,
O1
14 9 7,,,35a87c3d7,25a87c3d7,7,,,
I2T
9 6 7,,d7a8a7,d768a7,a3f7,
O2T
None
I3T
6 6 7,,c7a4,a3a7a4,a3a726,a3c7
O3T
None | 777777
777777
777733
447733
447733
267777 | {"train":[{"input":[[7,7,7,7,7,7,7,7,7,7,7,7,7,7,7],[7,7,7,0,7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7,7,7,7,7,7,7],[7,7,7,5,7,7,7,7,7,7,7,7,7,7,7],[7,7,7,5,9,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7... | 1 | dataset=solve_template group=template swap_one_to_many predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b | |
simonsolvev1 predict pixels for 'O3T' | I0
18 8 g64h6,6,,,g68h6,63o6,6,c60l6
O0
18 8 e8585a8a5d8,d8585a8a5e8,c8585a8a5f8,b8585a8a5g8,a8585a8a5h8,8585a8a5i8,585a8a5j8,85a8a5k8
I1
19 19 6,,,,,,,,o69a6,c65m6,69p6,6,b69n6,6,,,,,
O1
19 19 j858585b8,i858585c8,h858585d8,g858585e8,f858585f8,e858585g8,d858585g85,c858585g858,b858585g85a8,a858585g85b8,858585g85c8,58585... | 888888888858885
888888888588858
888888885888588
888888858885888
888888588858885
888885888588858
888858885888588
888588858885888
885888588858888
858885888588888
588858885888888
888588858888888
885888588888888
858885888888888
588858888888888
888588888888888
885888888888888 | {"train":[{"input":[[6,6,6,6,6,6,6,6,4,6,6,6,6,6,6,6,6,6],[6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6],[6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6],[6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6],[6,6,6,6,6,6,6,6,8,6,6,6,6,6,6,6,6,6],[6,3,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6],[6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6],[6,6,6,6,0,6,6,6,6,6,6,6,6,6,6,6,6... | 0 | dataset=solve_ray group=emit_rays_from_lonely_pixels predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c | |
simon-solve-version1, O2T, predict raw pixels | I0
27 11 8b5a85e815a8e58585,g58a5851b585a8a58a58,8585a8a58a5851858a58c58a5,a8a585858c51a58d58c5,5858d585a81c8d58b5,8b5a8b5a8a5158b58c58a5,585a8d58a51d5a8a58b5,b85e8b5158d5858585,8g58a5818f58c5,58c5a8b58518e5b8585,b5b8b58a581b585b8a58a5
O0
13 11 b69a69a69696,b969a69a69a6,c96b969a69,b69696e9,696g9a6,a6a96c96b9,969c6a9a6a... | 69999
96966 | {"train":[{"input":[[8,5,5,5,8,8,5,8,8,8,8,8,8,1,5,8,8,5,5,5,5,5,5,8,5,8,5],[5,5,5,5,5,5,5,5,8,5,5,8,5,1,5,5,5,8,5,8,8,5,5,8,5,5,8],[8,5,8,5,8,8,5,5,8,5,5,8,5,1,8,5,8,5,5,8,5,5,5,5,8,5,5],[8,8,5,5,8,5,8,5,8,5,5,5,5,1,5,5,8,5,5,5,5,5,8,5,5,5,5],[5,8,5,8,5,5,5,5,5,8,5,8,8,1,8,8,8,8,5,5,5,5,5,8,5,5,5],[8,5,5,5,8,8,5,5,5,8... | 0 | dataset=solve_bool group=xor predict=rawpixels earlier_prediction=none image_width=large image_height=medium task_pixels=b | |
SIMON-SOLVE-VERSION1 'O4T' predict the pixels | I0
14 10 9,,,,g95d9,9,,,a95j9,f95e9
O0
14 10 c60h6,d60g6,0d60f6,60d60e6,0,b60d60c6,0b60d60b6,60b60d60a6,0,
I1
19 20 9,,,,,,,,,,i97g9,9,i91g9,9,,,,j96f9,j92f9,9
O1
19 20 0q6,60p6,060o6,6060n6,a6060m6,b6060l6,0b6060k6,a0b6060j6,6a0b6060i6,a6a0b6060h6,0,c6a0b6060f6,0,e6a0b6060d6,f6a0b6060c6,g6a0b6060b6,h6a0b6060a6,0,,k6a0... | 0000000000000000
6660606066666666
6666060606666666
6666606060666666
0000000000000000
6666666060606666
6666666606060666
0000000000000000
6666666666060606 | {"train":[{"input":[[9,9,9,9,9,9,9,9,9,9,9,9,9,9],[9,9,9,9,9,9,9,9,9,9,9,9,9,9],[9,9,9,9,9,9,9,9,9,9,9,9,9,9],[9,9,9,9,9,9,9,9,9,9,9,9,9,9],[9,9,9,9,9,9,9,9,5,9,9,9,9,9],[9,9,9,9,9,9,9,9,9,9,9,9,9,9],[9,9,9,9,9,9,9,9,9,9,9,9,9,9],[9,9,9,9,9,9,9,9,9,9,9,9,9,9],[9,9,5,9,9,9,9,9,9,9,9,9,9,9],[9,9,9,9,9,9,9,5,9,9,9,9,9,9]]... | 0 | dataset=solve_ray group=emit_rays_from_lonely_pixels predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c | |
SIMON-SOLVE-V1 predict raw pixels for O3T | I0
13 14 g35a7a3,g32a7a3,g3b2a3,g3272a3,3,,,,,e3b73b7,,,,3
O0
13 14 3,,,,,,,,,e35a735a7,e32a732a7,e3b23b2,e32723272,3
I1
14 13 3,,,,a3c7g3,,3,,e353a5c3,c7a3531d3,c7i3,3,
O1
14 13 3,,,,a353a5g3,a3531h3,3,,,53a5i3,531j3,3,
I2T
10 6 3,,,a3a730c3,a3a7a30b3,a3a73a0b3
O2T
None
I3T
13 15 3,,,5b4h3,5a65h3,6b53c7c3,d3c7c3,,3,,,... | 3333333333333
3333333333333
3333333333333
3333333333333
3333333333333
3333354443333
3333356653333
3333365553333
3333333333333
3333333333333
3333333333333
3333333333333
3333333333333
3333333333333
3333333333333 | {"train":[{"input":[[3,3,3,3,3,3,3,3,5,7,7,3,3],[3,3,3,3,3,3,3,3,2,7,7,3,3],[3,3,3,3,3,3,3,3,2,2,2,3,3],[3,3,3,3,3,3,3,3,2,7,2,3,3],[3,3,3,3,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,3,7,7,7,3,7,7,7],[3,3,3,3,3,3,7,7,7,3... | 1 | dataset=solve_template group=template without_insertion_image predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c | |
SIMONSOLVEVERSION1, 'O4T', predict the pixels | I0
16 4 b25249265c2a5,5c646a9a2b9a4,3256e9c4a2,c9325b4b2625
O0
16 4 d27g2a7,d27i2,2,
I1
5 1 a7b3
O1
5 1 a7b2
I2
6 3 8a21a2,d32,a21b2
O2
6 3 2a7b2,2,a7c2
I3T
15 21 b85b84f8,b85h848,b854b84e8,b8584c84c8,b85e84c8,a845c84c848,b845g848,b845h84,c85e84b8,84a8584b82c8,c85c812c8,8a485b8182c8,c85a81484c8,b84581d84a8,c851a8484c8,... | 2222277222222222
2222222222222222
2722222222222222
7222222222222222
2222222222222222
2222222222222222
2222222222222222
2222222222222222
2222222222222222
2222222222222222
2222222222272222
2722222222722222
7222772222222222
7222222722222222
7272222272222222
2722222222222722
2222222222222272
2222227722222222
22727222222222... | {"train":[{"input":[[2,2,2,5,2,4,9,2,6,5,2,2,2,2,5,5],[5,6,6,6,6,4,6,9,9,2,2,9,9,9,4,4],[3,2,5,6,9,9,9,9,9,9,4,4,4,4,2,2],[9,9,9,9,3,2,5,4,4,4,2,2,2,6,2,5]],"output":[[2,2,2,2,2,7,2,2,2,2,2,2,2,2,7,7],[2,2,2,2,2,7,2,2,2,2,2,2,2,2,2,2],[2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2],[2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2]]},{"input":[[7,7,... | 1 | dataset=solve_mass group=mass2_all8 predict=rawpixels earlier_prediction=none image_width=medium image_height=large task_pixels=c | |
SIMONSOLVEVERSION1 predict pixels for 'O3T' | I0
27 23 a63a6a0a6e1a6d1a6b1,,,,,6,,a63a6a3a6e1a6d3a6b0,,,,,6,,a63a6a3a6e7a6d2a6b3,6,,a63a6a3a6e2h6b2,,,,,
O0
4 5 2301,6231,27a1,b30,3
I1
28 9 a6b9a6d2a6e0a6e3,,,6,,a6b8a6d2a6e8g6,,,
O1
2 4 63,80,2,89
I2T
14 31 a62a6a2a69a6a2,,,,,,6,,a62a6a2a63a6a2,,6,,a69a6a3d6a2,6,,a62a6a7a63a6a2,,,,,6,,a67a6a2a63a6a2,6,,a67a6a2a63a6... | 33800
40643
13014
00400 | {"train":[{"input":[[6,6,3,6,6,0,0,6,6,1,1,1,1,1,1,6,6,1,1,1,1,1,6,6,1,1,1],[6,6,3,6,6,0,0,6,6,1,1,1,1,1,1,6,6,1,1,1,1,1,6,6,1,1,1],[6,6,3,6,6,0,0,6,6,1,1,1,1,1,1,6,6,1,1,1,1,1,6,6,1,1,1],[6,6,3,6,6,0,0,6,6,1,1,1,1,1,1,6,6,1,1,1,1,1,6,6,1,1,1],[6,6,3,6,6,0,0,6,6,1,1,1,1,1,1,6,6,1,1,1,1,1,6,6,1,1,1],[6,6,6,6,6,6,6,6,6,6... | 1 | dataset=solve_grid group=extract_content_from_grid_flipb predict=rawpixels earlier_prediction=none image_width=large image_height=other task_pixels=c | |
simonsolveversion1 'O5T' predict the pixels | I0
30 7 o68l6,n68m6,m68n6,l68o6,k68p6,j68q6,i68r6
O0
30 7 6,,,,,,
I1
7 3 c5a85,a531b6,a34c5
O1
7 3 5,,
I2
3 22 9,,,939,639,629,,,929,926,,,929,,897,879,,8a9,9,,,
O2
3 22 9,,,,,,,,,,,,,,,,,,,,,
I3
22 30 a70705a07570c750a707,5e75d7075b7570,75a7a050b70a5a75a70a5,750b70702g70507,b70b707270h70,a750a7a072d70a70575,570b750725... | 111
111
111
111
111
111
111
111
111
111
111 | {"train":[{"input":[[6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,8,6,6,6,6,6,6,6,6,6,6,6,6,6],[6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,8,6,6,6,6,6,6,6,6,6,6,6,6,6,6],[6,6,6,6,6,6,6,6,6,6,6,6,6,6,8,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6],[6,6,6,6,6,6,6,6,6,6,6,6,6,8,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6],[6,6,6,6,6,6,6,6,6,6,6,6,8,6,6,6,6,6,6,6,6,6,6,6,6,6... | 1 | dataset=solve_color group=mostleast_popular_color most_popular same predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=d | |
Simon-Solve-Version1 'O2T' predict the raw pixels | I0
23 6 1,,,,,
O0
23 6 1,,,,,
I1
6 14 3,,,,b38a3,,a38b3,,38c3,383a93,8a9b3,8d3,3,
O1
6 14 9,,,,,,,,,,,,,
I2T
14 2 a6b1a2a6d8,h0d1
O2T
None | 22222222222222
22222222222222 | {"train":[{"input":[[1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1],[1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1],[1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1],[1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1],[1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1],[1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1]],"output":[[... | 0 | dataset=solve_color group=mostleast_popular_color least_popular same predict=rawpixels earlier_prediction=none image_width=large image_height=medium task_pixels=a | |
SIMONSOLVEVERSION1 'O2T' predict the pixels | I0
21 12 53a040450b5305a0a405,50545a35a3b5353a4540,d5353f54a5150,0b353a5035a2a5405135,a0a3a503c57b234140,05054505353457a5b215,a503545434b5375473a2,50545a2c53a43757410,534b50c20a45757515,a53405450a524a647a531,054a535434a5054a67651,a53a54a3c54505357a6
O0
21 12 1,q14a1,o1a4141,p14a14,1,,,,,,,
I1
24 19 34f34a34j3,404j3a434... | 1111111111111111111111111
1111111111111144111111111
1111111111111111444411111
1111111111111111111111111
1111444444111111111111111
1111111111111111111111111
1111111111111111111111111
1111111111111111111111111
1111111111111111111111111
1111111111111111111111111
1111111111111111111111111
1111111111111111111111111
11111111... | {"train":[{"input":[[5,3,0,0,4,0,4,5,0,5,5,5,3,0,5,0,0,4,4,0,5],[5,0,5,4,5,3,3,5,3,3,5,5,5,3,5,3,4,4,5,4,0],[5,5,5,5,5,3,5,3,5,5,5,5,5,5,5,4,5,5,1,5,0],[0,3,3,3,5,3,5,5,0,3,5,2,2,5,5,4,0,5,1,3,5],[0,0,3,3,5,5,0,3,5,5,5,5,7,2,2,2,3,4,1,4,0],[0,5,0,5,4,5,0,5,3,5,3,4,5,7,5,5,2,2,2,1,5],[5,5,0,3,5,4,5,4,3,4,5,5,5,3,7,5,4,7... | 0 | dataset=solve_mass group=mass6_all8 predict=rawpixels earlier_prediction=none image_width=large image_height=medium task_pixels=d | |
SIMONSOLVEVERSION1 'O3T' predict the raw pixels | I0
11 20 7,,,,f75b7,7,,,,,,,,,i78,7,,,,
O0
11 20 b59f5,c59e5,d59d5,e59c5,9,59e59a5,a59e595,b59e59,c59e5,d59d5,e59c5,f59b5,g59a5,h595,9,5,,,,
I1
8 5 e767,7,,,
O1
8 5 9,f59,5,,
I2
19 14 7,,q71,7,a78o7,p797,7,,,,,,,75p7
O2
19 14 k59b59a5,l59b595,9,59l59b5,9,,c59l59,d59l5,e59k5,f59j5,g59i5,h59h5,9h59g5,9
I3T
5 6 7,b757,7,,... | 55955
99999
55559
55555
55555
55555 | {"train":[{"input":[[7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,5,7,7,7],[7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7... | 0 | dataset=solve_ray group=emit_rays_from_lonely_pixels predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c | |
simonsolvev1 predict raw pixels for 'O3T' | I0
11 12 a0c17c1,3a03a01b71,3103a1b021,2a83f8,2353c15a1,12130e1,a213105c1,1323a10c1,,5123b10515,15a12b10a1,1
O0
11 12 0c17c10,a03a01b713,103a1b0213,a83f82,353c15a12,2130f1,213105c12,323a10d1,,123b1051a5,5a12b10b1,1
I1
12 9 a7i2,1a7a57e2,1a217a5a7b2,6a51f52,2a61b2a75a2,2121g2,21i2,,
O1
12 9 7i27,a7a57e21,a217a5a7b21,a51... | 6666606666560
0666666666666
6066666666656
6066666606666
0006666666665
6060066060666
5666006606660
5666606666666
6666606565666
6606560666666
6666666055666
6666660666666
6666666666566 | {"train":[{"input":[[0,0,1,1,1,1,7,1,1,1,1],[3,0,0,3,0,0,1,7,7,7,1],[3,1,0,3,1,1,0,0,0,2,1],[2,8,8,3,8,8,8,8,8,8,8],[2,3,5,3,1,1,1,1,5,1,1],[1,2,1,3,0,1,1,1,1,1,1],[2,2,1,3,1,0,5,1,1,1,1],[1,3,2,3,1,1,0,1,1,1,1],[1,3,2,3,1,1,0,1,1,1,1],[5,1,2,3,1,1,1,0,5,1,5],[1,5,1,1,2,1,1,1,0,1,1],[1,1,1,1,1,1,1,1,1,1,1]],"output":[[... | 1 | dataset=solve_translate group=translate_xminus1 predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c | |
simon-solve-version1 predict raw pixels for O4T | I0
9 12 5b6d5,5656d5,,,5b6d5,5,,5c6c5,56a56c5,5c6c5,5,
O0
9 12 6b56c5,,,,,d6c5,e6b5,6c56b5,,,e6b5,5
I1
10 15 5,,,,,5c6d5,56a56d5,,,56a565b65,5c656565,e56565,e5b65,5,
O1
10 15 5,,,,e6c5,6c56c5,,,6c5d6,6c56b56,,e6b56,d56b56,d5d6,5
I2
12 11 5,,,f6d5,6d56d5,,f65b65,g56565,g5b65,5,
O2
12 11 5,,g6c5,f56c5,,f5d6,f56b56,g6b56,... | 5666666666555
5655555556555
5655555556555
5655555556555
5655555556555
5666666666665
5555565555565
5555565555565
5555565555565
5666665555565
5655565555565
5655565555565
5655566666665
5666665555555
5555555555555 | {"train":[{"input":[[5,6,6,6,5,5,5,5,5],[5,6,5,6,5,5,5,5,5],[5,6,5,6,5,5,5,5,5],[5,6,5,6,5,5,5,5,5],[5,6,6,6,5,5,5,5,5],[5,5,5,5,5,5,5,5,5],[5,5,5,5,5,5,5,5,5],[5,6,6,6,6,5,5,5,5],[5,6,5,5,6,5,5,5,5],[5,6,6,6,6,5,5,5,5],[5,5,5,5,5,5,5,5,5],[5,5,5,5,5,5,5,5,5]],"output":[[6,5,5,5,6,5,5,5,5],[6,5,5,5,6,5,5,5,5],[6,5,5,5,... | 1 | dataset=solve_rectangle group=rectangle mask_outside_the_hollow_rectangles predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c | |
SIMONSOLVEV1 predict pixels for O4T | I0
6 28 c353,a35b3,d35,a35135,513535,2,,,,,,a29b2,2,,c292,2,,,,,,,,,,,,
O0
6 10 c353,a35b3,d35,a35135,513535,c353,a35b3,d35,a35135,513535
I1
11 8 2,,,b2b134b2,a294b18b2,b248b19a2,b231651a29,b231a45b2
O1
5 15 b134,4b18,48b1,31651,31a45,b134,4b18,48b1,31651,31a45,b134,4b18,48b1,31651,31a45
I2
22 19 2,g24a34i2,g2a643i2,g2... | 616
116
711
111
511
616
116
711
111
511
616
116
711
111
511 | {"train":[{"input":[[3,3,3,3,5,3],[3,3,5,3,3,3],[3,3,3,3,3,5],[3,3,5,1,3,5],[5,1,3,5,3,5],[2,2,2,2,2,2],[2,2,2,2,2,2],[2,2,2,2,2,2],[2,2,2,2,2,2],[2,2,2,2,2,2],[2,2,2,2,2,2],[2,2,9,2,2,2],[2,2,2,2,2,2],[2,2,2,2,2,2],[2,2,2,2,9,2],[2,2,2,2,2,2],[2,2,2,2,2,2],[2,2,2,2,2,2],[2,2,2,2,2,2],[2,2,2,2,2,2],[2,2,2,2,2,2],[2,2,2... | 0 | dataset=solve_count group=count_pixels_and_repeat_input_pattern repeat_y predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=c | |
Simon-Solve-Version1 'O3T' predict the raw pixels | I0
15 14 5,,a5e9f5,,,,,,a5e9b5b95,j5b95,,,5,
O0
15 14 5,5g9e5,59e59e5,,,,,59e595d9,59e5959b59,5g959b59,i59b59,,i5d9,5
I1
13 16 g5c95,a5d95c95,,a5d9e5,,,5,f5d95,,5d95d95,,,,f5d95,5,
O1
13 16 5f9c59,59d59c59,,59d5e9,59d59d5,,5k9,e59d59,f9d59,9d59d59,,,,f9d59,e5f9,5
I2T
12 12 e5c9a5,,,5,,,5f9c5,,,,,5
O2T
None
I3T
12 11 5,... | 555555555555
555555555555
555559999999
999959555559
555959555559
555959555559
555959555559
555959999999
555955555555
555955555555
999955555555 | {"train":[{"input":[[5,5,5,5,5,5,5,5,5,5,5,5,5,5,5],[5,5,5,5,5,5,5,5,5,5,5,5,5,5,5],[5,5,9,9,9,9,9,9,5,5,5,5,5,5,5],[5,5,9,9,9,9,9,9,5,5,5,5,5,5,5],[5,5,9,9,9,9,9,9,5,5,5,5,5,5,5],[5,5,9,9,9,9,9,9,5,5,5,5,5,5,5],[5,5,9,9,9,9,9,9,5,5,5,5,5,5,5],[5,5,9,9,9,9,9,9,5,5,5,5,5,5,5],[5,5,9,9,9,9,9,9,5,5,5,9,9,9,5],[5,5,5,5,5,5... | 1 | dataset=solve_rectangle group=rectangle mask_outside_the_filled_rectangles predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c | |
SIMON-SOLVE-VERSION1 predict raw pixels for O3T | I0
11 20 6,,,,,,,,,g68a6,6,,,,,,,g60a6,6,
O0
11 20 g10a1,,,,,,,g1010,g1a01,0,f1a0a1,e1010a1,d10a10a1,c10b10a1,b10c10a1,a10d1010,10e1a01,0,f1a0a1,e1010a1
I1
12 7 6,,a63h6,6,,e63d6,6
O1
12 7 a101010c10,a1a0a10b101,0,1a0b1010b1,010b1a0c1,0,a10a1a0d1
I2
12 16 6,,68i6,6,,f60c6,6,,,,,,,,,
O2
12 16 1010b10c1,1a0c10b10,0,a0d10... | 00000000000000000
10111001111101001
10110101111100101
10101101111101101
10011101111001101
00000000000000000
00111101101101101
10111101011101001
10111100111100101
00000000000000000
10111001111001101
10110101110101101
10101101101101101 | {"train":[{"input":[[6,6,6,6,6,6,6,6,6,6,6],[6,6,6,6,6,6,6,6,6,6,6],[6,6,6,6,6,6,6,6,6,6,6],[6,6,6,6,6,6,6,6,6,6,6],[6,6,6,6,6,6,6,6,6,6,6],[6,6,6,6,6,6,6,6,6,6,6],[6,6,6,6,6,6,6,6,6,6,6],[6,6,6,6,6,6,6,6,6,6,6],[6,6,6,6,6,6,6,6,6,6,6],[6,6,6,6,6,6,6,6,8,6,6],[6,6,6,6,6,6,6,6,6,6,6],[6,6,6,6,6,6,6,6,6,6,6],[6,6,6,6,6,6... | 0 | dataset=solve_ray group=emit_rays_from_lonely_pixels predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c | |
simon-solve-version1 predict pixels for O3T | I0
14 19 3k92,,,,,9b3h91,,,c9b3e92,,,f9b3b91,,,,i9b32,,,2b1b2b1c2
O0
14 19 2k92,,,,,9b1h91,,,c9b2e92,,,f9b1b91,,,,i9c2,,,2b1b2b1c2
I1
17 20 a3m91,,,,,,a9c3i92,e9c3e91,,,,i9a3c92,,,,,k9c31,,,a1c2c1a2d1
O1
17 20 a1m91,,,,,,a9c2i92,e9c1e91,,,,i9a2c92,,,,,k9d1,,,a1c2c1a2d1
I2T
11 17 b3f92,,,,,,,b93e91,,c9b3b92,,,f9b31,,,,b... | 111199991
999929992
999929992
999991111
999991111
111121111 | {"train":[{"input":[[3,9,9,9,9,9,9,9,9,9,9,9,9,2],[3,9,9,9,9,9,9,9,9,9,9,9,9,2],[3,9,9,9,9,9,9,9,9,9,9,9,9,2],[3,9,9,9,9,9,9,9,9,9,9,9,9,2],[3,9,9,9,9,9,9,9,9,9,9,9,9,2],[9,3,3,3,9,9,9,9,9,9,9,9,9,1],[9,3,3,3,9,9,9,9,9,9,9,9,9,1],[9,3,3,3,9,9,9,9,9,9,9,9,9,1],[9,9,9,9,3,3,3,9,9,9,9,9,9,2],[9,9,9,9,3,3,3,9,9,9,9,9,9,2],... | 1 | dataset=solve_span group=intersecting_spans template_primary_area predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c | |
simonshistogram, Histogram A without colors of Histogram B | 1:145
1:1448,8:1338,2:1286,5:1219,4:1136,0:830,9:689,3:650,7:602 | empty | null | null | null | dataset=histogram_two group=a_remove_b_colors histogram_size=d |
simon-solve-v1, 'O4T', predict the raw pixels | I0
4 6 a645,6b4,a648,a6a4,4b6,4658
O0
4 6 a4a3,,,,34a3,
I1
13 12 6c91c9393,1393913a93136,b91c91a391,a93913b93936,169a39393b91,a93c931c9,d9a3a9b13,1a936a3169396,91a93a93c96,9393a16e9,3a9a1a9691a91,a93b96316b9
O1
13 12 3c4g3,a3434g3,e4f3,c434f3,a3d4e3,e4a34c3,f4a34b3,c43a4e3,43c4f3,43a4a34e3,c434f3,a43c434c3
I2
11 10 8c4... | 4443343
4443333
4443333
4443333
3443333
4443333
4343333
4443333
4443333
4443333 | {"train":[{"input":[[6,6,4,5],[6,4,4,4],[6,6,4,8],[6,6,4,4],[4,6,6,6],[4,6,5,8]],"output":[[4,4,3,3],[4,4,3,3],[4,4,3,3],[4,4,3,3],[3,4,3,3],[3,4,3,3]]},{"input":[[6,9,9,9,9,1,9,9,9,9,3,9,3],[1,3,9,3,9,1,3,9,9,3,1,3,6],[9,9,9,1,9,9,9,9,1,3,3,9,1],[9,9,3,9,1,3,9,9,9,3,9,3,6],[1,6,9,3,3,9,3,9,3,9,9,9,1],[9,9,3,9,9,9,9,3,... | 0 | dataset=solve_half group=half_right_all8 predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b | |
SIMONSOLVEV1 predict pixels for 'O4T' | I0
11 13 3i4,43h4,a43g4,b43f4,c43e4,d43d4,e43c4,f43b4,g43a4,h434,i34,4,
O0
11 13 8,,,,,,,,,,3,8,
I1
7 14 4,3e4,34d3,a43c4,b43b4,c43a4,d434,e43,4,,,,,
O1
7 14 8,,3,8,,,,,,,,,,
I2
14 7 3l4,43k4,a43j4,b43i4,c43h4,d34g3,e43f4
O2
14 7 8,,,,,3,8
I3
12 3 d43e4,e43d4,f34c3
O3
12 3 8,,3
I4T
10 7 43g4,a34f3,b43e4,c43d4,d43c4,e43... | 8888888888
3333333333
8888888888
8888888888
8888888888
8888888888
8888888888 | {"train":[{"input":[[3,4,4,4,4,4,4,4,4,4,4],[4,3,4,4,4,4,4,4,4,4,4],[4,4,3,4,4,4,4,4,4,4,4],[4,4,4,3,4,4,4,4,4,4,4],[4,4,4,4,3,4,4,4,4,4,4],[4,4,4,4,4,3,4,4,4,4,4],[4,4,4,4,4,4,3,4,4,4,4],[4,4,4,4,4,4,4,3,4,4,4],[4,4,4,4,4,4,4,4,3,4,4],[4,4,4,4,4,4,4,4,4,3,4],[3,3,3,3,3,3,3,3,3,3,4],[4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4... | 0 | dataset=solve_cross group=cross tlbr_lr mask0 left_right predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b | |
simonsolvev1 predict pixels for O4T | I0
13 8 b03a9f0,a0a9a31e0,069b03e0,069c03d0,06e0a3b0,6h03a0,a2h020,a02i0
O0
20 8 f9b03a9f0,e9a0a9a31e09,d9069b03e0a9,c9069c03d0b9,b906e0a3b0c9,a96h03a0d9,9a2h020e9,a02i0f9
I1
16 2 959a59c2d70,a575079590c575
O1
17 2 a959a59c2d70,a575079590c5759
I2
6 14 010310,013730,0b703,9701a0,903b0,9a7130,19b03,091b0,190730,0937a0,30... | 999999111111111111111
999991111111111111119
999911111111111811199
999111111111181111999
991111111118111119999
911111111111111199999
111111111111111999999 | {"train":[{"input":[[0,0,0,3,9,9,0,0,0,0,0,0,0],[0,0,9,9,3,3,1,0,0,0,0,0,0],[0,6,9,0,0,0,3,0,0,0,0,0,0],[0,6,9,0,0,0,0,3,0,0,0,0,0],[0,6,0,0,0,0,0,0,3,3,0,0,0],[6,0,0,0,0,0,0,0,0,0,3,0,0],[2,2,0,0,0,0,0,0,0,0,0,2,0],[0,0,2,0,0,0,0,0,0,0,0,0,0]],"output":[[9,9,9,9,9,9,9,0,0,0,3,9,9,0,0,0,0,0,0,0],[9,9,9,9,9,9,0,0,9,9,3,... | 0 | dataset=solve_skew group=skew_left predict=rawpixels earlier_prediction=none image_width=large image_height=medium task_pixels=c | |
simonsolveversion1 'O4T' predict the pixels | I0
26 27 0,,,,d05c8a5a85a858585c0,d0a8585d8a5d8c0,d0a5a85b8a5c8585c0,d08585a85b85e8c0,d08a58a5b8e585c0,d08585a8b58a5858a5c0,d058a58a5b85d85c0,d0c585a85858a5b8c0,d0a585a858b5d85c0,d0a85a8e58c58c0,d0585b85h85c0,d08585858f5a85c0,d0c5c85a858c5c0,d058b5a8c5a858a5c0,d0c58b58e585c0,d058a5a858a5a8a58a5c0,d0d85c8d585c0,d0a8585a... | 1111111111111111
1111111111111111
1111111111111111
1111111111111111
1115555550511111
1115555550511111
1110555505511111
1115550555511111
1115055555511111
1115555555511111
1115000505511111
1115055505511111
1110505555511111
1115550555511111
1115555555511111
1115555055511111
1115055550511111
1115505555511111
11105055505111... | {"train":[{"input":[[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],[0,0,0,0,0,5,8,8,8,8,5,5,8,8,5,8,8,5,8,5,8,5,0,0,0,0],[0,0,0,0,0,8,8,5,8,5,8,8,8,8,8... | 0 | dataset=solve_color group=replace_color_different_palettes padding palette_c predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=e | |
SIMONSOLVEV1, O3T, predict raw pixels | I0
17 13 7a26a2c5a25a2a5,,,,,2,,5a25a2c5d2a5,,,,,
O0
2 5 57,56,5,25,5
I1
31 23 1a2e9a2b4a2c9a2e3a23,,,,,2,,6a2e1a2b9a2c9a2e3a23,,,2,,1a2e1a2b1a2c1a2e9a23,,,,2,,3a2e6a2b1a2c1a2e1a24,2,,3i2b4a2c4a2e1a21,
O1
5 6 a3161,26a19,4a194,4a1a9,a19a3,14b3
I2T
21 15 d5a2b7a23a2e3,,,2,,d9a2b8a27a2e7,,,,2,,d8f27a2e7,,,
O2T
None
I3T
1... | 626
666
666
666 | {"train":[{"input":[[7,2,2,6,2,2,5,5,5,5,2,2,5,2,2,5,5],[7,2,2,6,2,2,5,5,5,5,2,2,5,2,2,5,5],[7,2,2,6,2,2,5,5,5,5,2,2,5,2,2,5,5],[7,2,2,6,2,2,5,5,5,5,2,2,5,2,2,5,5],[7,2,2,6,2,2,5,5,5,5,2,2,5,2,2,5,5],[2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2],[2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2],[5,2,2,5,2,2,5,5,5,5,2,2,2,2,2,5,5],[5,2,2,5,2,2... | 1 | dataset=solve_grid group=extract_content_from_grid_cw predict=rawpixels earlier_prediction=none image_width=other image_height=large task_pixels=c | |
simonsolveversion1 'O5T' predict the raw pixels | I0
4 4 a6a2,01a4,2042,24a2
O0
4 4 1212,1b2,2,2a12
I1
10 8 a363a0c3,b36302b0,b0a62c0,030520a303,3050240a80,0542b8030,54a8a3a0a3,c0c3a0
O1
10 8 b12c1a2,a1b21c2,a1c21b2,1b2b1b2,a1a2121b2,a12a1d2,f1b2,a1a2b1b2
I2
14 10 61212c621621,12612616262621,a02a610a6a1216,b6561a6162126,62a05676a2a626,b21516a2a6b1,2a6015b6162a1,21621c... | 1111112222222
1111112222222
1111112222222
1111112222222
1111112222222
1111112222222
1111112222222
1111112222222
1111112222222
1111112222222
1111112222222
1111112222222
1111112222222
1111112222222
1111112222222 | {"train":[{"input":[[6,6,2,2],[0,1,4,4],[2,0,4,2],[2,4,2,2]],"output":[[1,2,1,2],[1,2,2,2],[2,2,2,2],[2,1,1,2]]},{"input":[[3,3,6,3,0,0,3,3,3,3],[3,3,3,6,3,0,2,0,0,0],[0,0,0,6,6,2,0,0,0,0],[0,3,0,5,2,0,3,3,0,3],[3,0,5,0,2,4,0,8,8,0],[0,5,4,2,8,8,8,0,3,0],[5,4,8,8,3,3,0,0,3,3],[0,0,0,0,3,3,3,3,0,0]],"output":[[1,1,1,2,1... | 1 | dataset=solve_half group=half_right_all8 predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c | |
SIMONSOLVEVERSION1 predict raw pixels for O4T | I0
24 22 a6a949a6b2624b92a94b9,94a69b5a46a92f92a9,96b5b969c4a96a926926,a65a69496964a924a9692962,a95969a692c9694b94b9,625a96494k96a9,a95a64a9a294a92a93b92a9,a95b9692a9e2f9,a95929d2d9694b969,94594d946b96a9296969,95a64c94k969,95a9492d9469496e9,95924696i969a4a9,95a96c94624a969492a946,95c96a96b9a4a96a94b9,95c9262926b94c9694... | 111111111111
411477744471
777770000011
666660700141 | {"train":[{"input":[[6,6,9,9,4,9,6,6,2,2,2,6,2,4,9,9,9,2,9,9,4,9,9,9],[9,4,6,6,9,5,5,5,4,4,6,9,9,2,9,9,9,9,9,9,9,2,9,9],[9,6,5,5,5,9,9,9,6,9,4,4,4,4,9,9,6,9,9,2,6,9,2,6],[6,6,5,6,6,9,4,9,6,9,6,4,9,9,2,4,9,9,6,9,2,9,6,2],[9,9,5,9,6,9,6,6,9,2,9,9,9,9,6,9,4,9,9,9,4,9,9,9],[6,2,5,9,9,6,4,9,4,9,9,9,9,9,9,9,9,9,9,9,9,6,9,9],... | 0 | dataset=solve_probecolor group=probecolor_topright predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=d |
End of preview. Expand in Data Studio
Version 1
A combination of multiple datasets.
Datasets: dataset_solve_color.jsonl, dataset_solve_rotate.jsonl, dataset_solve_translate.jsonl.
Version 2
Datasets: dataset_solve_color.jsonl, dataset_solve_rotate.jsonl, dataset_solve_translate.jsonl.
Version 3
Datasets: dataset_solve_color.jsonl, dataset_solve_rotate.jsonl, dataset_solve_translate.jsonl.
Version 4
Added a shared dataset name for all these datasets: SIMON-SOLVE-V1. There may be higher version numbers in the future.
My hypothesis: Having a version number in the dataset name, it may be easier to unlearn incorrect training data.
Datasets: dataset_solve_color.jsonl, dataset_solve_rotate.jsonl, dataset_solve_translate.jsonl.
Version 5
Different random seed.
Version 6
Using SIMON-SOLVE-V1 everywhere. Remove the SIMON-SOLVE-COLOR, SIMON-SOLVE-ROTATE, SIMON-SOLVE-TRANSLATE.
Version 7
Using SIMON-SOLVE-V1 everywhere.
Version 8
Same settings. Different seed as usual.
Version 9
Switching from context length 256 to context length 512.
Increasing the image sizes so the prompt length stays below 512.
dataset_solve_color, image size: 1-13.
dataset_solve_rotate, image size: 1-9.
dataset_solve_translate, image size: 3-9.
Version 10
Same settings. Different seed as usual.
Version 11
Same settings. Different seed as usual.
Version 12
Added 1 more pair to the examples. Now it's 2-4 examples. Previously it was 2-3 examples.
Version 13
Same settings. Different seed as usual.
Version 14
Same settings. Different seed as usual.
Version 15
Same settings. Different seed as usual.
Version 16
Added Predict the output image.
Disabled prediction of rows.
Disabled prediction of height.
Verison 17
Same settings. Different seed as usual.
Using the DatasetGenerator and the DatasetItemListBuilder.
Verison 18
Added datasets.
Datasets:
dataset_solve_color.jsonldataset_solve_rotate.jsonldataset_solve_translate.jsonldataset_cellular_automaton.jsonl- added.dataset_shape.jsonl- added.
Verison 19
Added dataset.
Datasets:
dataset_solve_color.jsonldataset_solve_rotate.jsonldataset_solve_translate.jsonldataset_cellular_automaton.jsonldataset_shape.jsonldataset_image.jsonl- added.
Verison 20
Bigger images.
Verison 21
Added dataset. Disabled some datasets.
Datasets:
dataset_cellular_automaton.jsonldataset_shape.jsonldataset_mass.jsonl- added.
Verison 22
Added dataset.
Datasets:
dataset_solve_color.jsonldataset_solve_rotate.jsonldataset_solve_translate.jsonldataset_cellular_automaton.jsonldataset_shape.jsonldataset_image.jsonldataset_mass.jsonldataset_histogram.jsonl- added.
Bigger image sizes.
Number of rows=200k. Was previously 100k rows.
Verison 23
datset_mass.jsonl. increased to max_mass=5.
Verison 24
datset_mass.jsonl. increased to max_mass=6.
Verison 25
different seed.
Verison 26
datset_mass.jsonl. increased to max_mass=25.
different seed.
Verison 27
different seed.
Verison 28
different seed.
Verison 29
different seed.
Verison 30
different seed.
Verison 31
different seed.
Verison 32
different seed.
Verison 33
Disabled some dataset.
Datasets:
dataset_histogram.jsonl- disableddataset_image.jsonl- disableddataset_mass.jsonldataset_shape.jsonldataset_solve_color.jsonl- disableddataset_solve_rotate.jsonl- disableddataset_solve_translate.jsonl- disableddataset_cellular_automaton.jsonl
Verison 34
Enabled all datasets.
Version 35
Regenerated all datasets with new random seeds.
Verison 36
Added dataset dataset_scale.jsonl.
Disabled some dataset.
Datasets:
dataset_cellular_automaton.jsonl- disableddataset_histogram.jsonl- disableddataset_image.jsonl- disableddataset_mass.jsonldataset_scale.jsonldataset_shape.jsonl- disableddataset_solve_color.jsonldataset_solve_rotate.jsonldataset_solve_translate.jsonl
Verison 37
Enabled all datasets
Datasets:
dataset_cellular_automaton.jsonldataset_histogram.jsonldataset_image.jsonldataset_mass.jsonldataset_scale.jsonldataset_shape.jsonldataset_solve_color.jsonldataset_solve_rotate.jsonldataset_solve_translate.jsonl
Verison 38
Added dataset
Datasets:
dataset_cellular_automaton.jsonldataset_histogram.jsonldataset_image.jsonldataset_mass.jsonldataset_scale.jsonldataset_shape.jsonldataset_solve_color.jsonldataset_solve_rotate.jsonldataset_solve_translate.jsonldataset_symmetry.jsonl- added
Version 39
Regenerated all datasets with new random seeds.
Version 40
Added dataset
Datasets:
dataset_cellular_automaton.jsonldataset_histogram.jsonldataset_image.jsonldataset_image_pair.jsonl- addeddataset_mass.jsonldataset_scale.jsonldataset_shape.jsonldataset_solve_color.jsonldataset_solve_rotate.jsonldataset_solve_translate.jsonldataset_symmetry.jsonl
Version 41
Regenerated all datasets with new random seeds.
Version 42
Added dataset. Disabled some datasets.
Datasets:
dataset_cellular_automaton.jsonldataset_histogram.jsonl- disableddataset_image.jsonl- disableddataset_image_pair.jsonl- disableddataset_mass.jsonl- disableddataset_scale.jsonldataset_shape.jsonldataset_solve_color.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonl- addeddataset_solve_translate.jsonldataset_symmetry.jsonl- disabled
Version 43
Enabled all datasets.
Version 44
Regenerated all datasets with new random seeds.
Version 45
Extended the dataset_shape.jsonl with these new PixelConnectivity types: CORNER4, LR2, TB2, TLBR2, TRBL2.
Hopefully it makes the model better at making sense of diagonal structures, which is something it's terrible at at the moment.
Version 46
Regenerated all datasets with new random seeds.
Version 47
Added dataset. Disabled some datasets.
Datasets:
dataset_cellular_automaton.jsonldataset_histogram.jsonldataset_image.jsonl- disableddataset_image_pair.jsonl- disableddataset_mass.jsonl- disableddataset_scale.jsonl- disableddataset_shape.jsonl- disableddataset_solve_color.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonl- addeddataset_solve_translate.jsonldataset_symmetry.jsonl
Version 48
Enabled all datasets.
Version 49
Bigger max_mass. From 6 to 8.
Version 50
Added dataset.
Datasets:
dataset_cellular_automaton.jsonldataset_histogram.jsonldataset_image.jsonl- disableddataset_image_pair.jsonl- disableddataset_mass.jsonl- disableddataset_scale.jsonl- disableddataset_shape.jsonl- disableddataset_solve_color.jsonldataset_solve_compress.jsonl- addeddataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_symmetry.jsonl
Version 51
Regenerated all datasets with new random seeds.
Version 52
Regenerated all datasets with new random seeds.
Version 53
Regenerated all datasets with new random seeds.
Version 54
Added dataset.
Datasets:
dataset_cellular_automaton.jsonldataset_erotion.jsonl- addeddataset_histogram.jsonldataset_image.jsonldataset_image_pair.jsonldataset_mass.jsonldataset_scale.jsonldataset_shape.jsonldataset_solve_color.jsonldataset_solve_compress.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_symmetry.jsonl
Version 55
Added dataset. Disabled most datasets.
Datasets:
dataset_cellular_automaton.jsonldataset_dilation.jsonl- addeddataset_erotion.jsonldataset_histogram.jsonl- disableddataset_image.jsonl- disableddataset_image_pair.jsonl- disableddataset_mass.jsonl- disableddataset_scale.jsonl- disableddataset_shape.jsonl- disableddataset_solve_color.jsonl- disableddataset_solve_compress.jsonl- disableddataset_solve_rotate.jsonl- disableddataset_solve_scale.jsonl- disableddataset_solve_symmetry.jsonl- disableddataset_solve_translate.jsonl- disableddataset_symmetry.jsonl- disabled
Version 56
Enabled all datasets.
Datasets:
dataset_cellular_automaton.jsonldataset_dilation.jsonldataset_erotion.jsonldataset_histogram.jsonldataset_image.jsonldataset_image_pair.jsonldataset_mass.jsonldataset_scale.jsonldataset_shape.jsonldataset_solve_color.jsonldataset_solve_compress.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_symmetry.jsonl
Version 57
Regenerated all datasets with new random seeds.
Version 58
Disabled most datasets.
Datasets:
dataset_cellular_automaton.jsonl- disableddataset_dilation.jsonl- disableddataset_erotion.jsonl- disableddataset_histogram.jsonl- disableddataset_image.jsonl- disableddataset_image_pair.jsonl- disableddataset_mass.jsonl- disableddataset_scale.jsonl- disableddataset_shape.jsonl- disableddataset_solve_color.jsonldataset_solve_compress.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_symmetry.jsonl- disabled
Version 59
Added new datasets.
Disabled most datasets.
Datasets:
dataset_cellular_automaton.jsonl- disableddataset_dilation.jsonl- disableddataset_erotion.jsonl- disableddataset_histogram.jsonl- disableddataset_image.jsonl- disableddataset_image_pair.jsonl- disableddataset_mass.jsonl- disableddataset_scale.jsonl- disableddataset_shape.jsonl- disableddataset_solve_color.jsonldataset_solve_compress.jsonldataset_solve_erosion.jsonl- addeddataset_solve_fractal.jsonl- addeddataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_symmetry.jsonl- disabled
Version 60
Incremented random seed
Datasets:
dataset_cellular_automaton.jsonl- disableddataset_dilation.jsonl- disableddataset_erotion.jsonl- disableddataset_histogram.jsonl- disableddataset_image.jsonl- disableddataset_image_pair.jsonl- disableddataset_mass.jsonl- disableddataset_scale.jsonl- disableddataset_shape.jsonl- disableddataset_solve_color.jsonldataset_solve_compress.jsonldataset_solve_erosion.jsonldataset_solve_fractal.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_symmetry.jsonl- disabled
Version 61
Enabled all datasets.
More padding inside the dataset_solve_fractal.jsonl.
Version 62
All datasets still enabled.
Turning up the parameter for dataset_solve_fractal.jsonl.
scale_input from 3 to 4.
scale_output from 3 to 4.
max_image_size from 3 to 4.
max_pad_count from 4 to 5.
Version 63
Disabled several datasets.
Datasets:
dataset_cellular_automaton.jsonl- disableddataset_dilation.jsonl- disableddataset_erotion.jsonl- disableddataset_histogram.jsonl- disableddataset_image.jsonl- disableddataset_image_pair.jsonl- disableddataset_mass.jsonldataset_scale.jsonl- disableddataset_shape.jsonl- disableddataset_solve_color.jsonl- disableddataset_solve_compress.jsonl- disableddataset_solve_erosion.jsonldataset_solve_fractal.jsonldataset_solve_rotate.jsonl- disableddataset_solve_scale.jsonl- disableddataset_solve_symmetry.jsonldataset_solve_translate.jsonl- disableddataset_symmetry.jsonl- disabled
Version 64
Added dataset.
Increased the number of rows in the jsonl file from 200k to 300k.
Datasets:
dataset_cellular_automaton.jsonldataset_dilation.jsonldataset_erotion.jsonldataset_histogram.jsonldataset_image.jsonldataset_image_pair.jsonldataset_mass.jsonldataset_scale.jsonldataset_shape.jsonldataset_solve_color.jsonldataset_solve_compress.jsonldataset_solve_erosion.jsonldataset_solve_fractal.jsonldataset_solve_outline.jsonl- addeddataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_symmetry.jsonl
Version 65
random seed.
Version 66
Disabled some datasets.
Datasets:
dataset_cellular_automaton.jsonldataset_dilation.jsonldataset_erotion.jsonldataset_histogram.jsonl- disableddataset_image.jsonl- disableddataset_image_pair.jsonl- disableddataset_mass.jsonldataset_scale.jsonl- disableddataset_shape.jsonldataset_solve_color.jsonl- disableddataset_solve_compress.jsonl- disableddataset_solve_erosion.jsonl- disableddataset_solve_fractal.jsonl- disableddataset_solve_outline.jsonl- disableddataset_solve_rotate.jsonl- disableddataset_solve_scale.jsonl- disableddataset_solve_symmetry.jsonl- disableddataset_solve_translate.jsonl- disableddataset_symmetry.jsonl- disabled
Version 67
Disabled some datasets.
Datasets:
dataset_cellular_automaton.jsonldataset_dilation.jsonldataset_erotion.jsonldataset_histogram.jsonldataset_image.jsonldataset_image_pair.jsonldataset_mass.jsonldataset_scale.jsonldataset_shape.jsonldataset_solve_color.jsonl- enableddataset_solve_compress.jsonl- enableddataset_solve_erosion.jsonl- enableddataset_solve_fractal.jsonl- enableddataset_solve_outline.jsonl- enableddataset_solve_rotate.jsonl- enableddataset_solve_scale.jsonl- enableddataset_solve_symmetry.jsonl- enableddataset_solve_translate.jsonl- enableddataset_symmetry.jsonl
Version 68
Enabled all datasets.
Version 69
Different random seed.
Version 70
Different random seed.
Version 71
Different random seed.
Version 72
Different random seed.
Version 73
Different random seed.
Version 74
Major update to dataset_solve_symmetry.jsonl.
Version 75
Different random seed.
Version 76
Disabled some datasets.
Datasets:
dataset_cellular_automaton.jsonl- disableddataset_dilation.jsonl- disableddataset_erotion.jsonl- disableddataset_histogram.jsonl- disableddataset_image.jsonl- disableddataset_image_pair.jsonl- disableddataset_mass.jsonl- disableddataset_scale.jsonl- disableddataset_shape.jsonl- disableddataset_solve_color.jsonldataset_solve_compress.jsonldataset_solve_erosion.jsonldataset_solve_fractal.jsonldataset_solve_outline.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_symmetry.jsonl- disabled
Version 77
Enabled all datasets.
Version 78
Major update to dataset_solve_symmetry.jsonl.
Version 79
Different random seed.
Version 80
Different random seed.
Version 81
Different random seed.
Version 82
Added dataset.
Datasets:
dataset_cellular_automaton.jsonldataset_dilation.jsonldataset_erotion.jsonldataset_histogram.jsonldataset_image.jsonldataset_image_pair.jsonldataset_mass.jsonldataset_scale.jsonldataset_shape.jsonldataset_solve_color.jsonldataset_solve_compress.jsonldataset_solve_erosion.jsonldataset_solve_fractal.jsonldataset_solve_outline.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_solve_zindex.jsonl- addeddataset_symmetry.jsonl
Version 83
Disabled datasets that doesn't solve ARC puzzles.
Datasets:
dataset_cellular_automaton.jsonl- disableddataset_dilation.jsonl- disableddataset_erotion.jsonl- disableddataset_histogram.jsonl- disableddataset_image.jsonl- disableddataset_image_pair.jsonl- disableddataset_mass.jsonl- disableddataset_scale.jsonl- disableddataset_shape.jsonl- disableddataset_solve_color.jsonldataset_solve_compress.jsonldataset_solve_erosion.jsonldataset_solve_fractal.jsonldataset_solve_outline.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_solve_zindex.jsonldataset_symmetry.jsonl- disabled
Version 84
Added dataset dataset_solve_grid.jsonl.
Disabled datasets that doesn't solve ARC puzzles.
Datasets:
dataset_cellular_automaton.jsonl- disableddataset_dilation.jsonl- disableddataset_erotion.jsonl- disableddataset_histogram.jsonl- disableddataset_image.jsonl- disableddataset_image_pair.jsonl- disableddataset_mass.jsonl- disableddataset_scale.jsonl- disableddataset_shape.jsonl- disableddataset_solve_color.jsonldataset_solve_compress.jsonldataset_solve_erosion.jsonldataset_solve_fractal.jsonldataset_solve_grid.jsonl- addeddataset_solve_outline.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_solve_zindex.jsonldataset_symmetry.jsonl- disabled
Version 85
Disabled datasets that doesn't solve ARC puzzles.
Datasets:
dataset_cellular_automaton.jsonl- disableddataset_dilation.jsonl- disableddataset_erotion.jsonl- disableddataset_histogram.jsonl- disableddataset_image.jsonl- disableddataset_image_pair.jsonl- disableddataset_mass.jsonl- disableddataset_scale.jsonl- disableddataset_shape.jsonl- disableddataset_solve_color.jsonldataset_solve_compress.jsonldataset_solve_erosion.jsonldataset_solve_fractal.jsonldataset_solve_grid.jsonldataset_solve_outline.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_solve_zindex.jsonldataset_symmetry.jsonl- disabled
Version 86
Enabled all datasets.
Version 87
Disabled datasets that doesn't solve ARC puzzles.
Datasets:
dataset_cellular_automaton.jsonl- disableddataset_dilation.jsonl- disableddataset_erotion.jsonl- disableddataset_histogram.jsonl- disableddataset_image.jsonl- disableddataset_image_pair.jsonl- disableddataset_mass.jsonl- disableddataset_scale.jsonl- disableddataset_shape.jsonl- disableddataset_solve_color.jsonldataset_solve_compress.jsonldataset_solve_erosion.jsonldataset_solve_fractal.jsonldataset_solve_grid.jsonldataset_solve_outline.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_solve_zindex.jsonldataset_symmetry.jsonl- disabled
Version 88
Added dataset dataset_solve_probecolor.jsonl with all directions enabled.
Disabled datasets that doesn't solve ARC puzzles.
Datasets:
dataset_cellular_automaton.jsonl- disableddataset_dilation.jsonl- disableddataset_erotion.jsonl- disableddataset_histogram.jsonl- disableddataset_image.jsonl- disableddataset_image_pair.jsonl- disableddataset_mass.jsonl- disableddataset_scale.jsonl- disableddataset_shape.jsonl- disableddataset_solve_color.jsonldataset_solve_compress.jsonldataset_solve_erosion.jsonldataset_solve_fractal.jsonldataset_solve_grid.jsonldataset_solve_outline.jsonldataset_solve_probecolor.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_solve_zindex.jsonldataset_symmetry.jsonl- disabled
Version 89
Enabled all datasets.
Datasets:
dataset_cellular_automaton.jsonldataset_dilation.jsonldataset_erotion.jsonldataset_histogram.jsonldataset_image.jsonldataset_image_pair.jsonldataset_mass.jsonldataset_scale.jsonldataset_shape.jsonldataset_solve_color.jsonldataset_solve_compress.jsonldataset_solve_erosion.jsonldataset_solve_fractal.jsonldataset_solve_grid.jsonldataset_solve_outline.jsonldataset_solve_probecolor.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_solve_zindex.jsonldataset_symmetry.jsonl
Version 90
Disabled some of the datasets.
Datasets:
dataset_cellular_automaton.jsonl- disableddataset_dilation.jsonl- disableddataset_erotion.jsonl- disableddataset_histogram.jsonl- disableddataset_image.jsonl- disableddataset_image_pair.jsonl- disableddataset_mass.jsonl- disableddataset_scale.jsonl- disableddataset_shape.jsonl- disableddataset_solve_color.jsonl- disableddataset_solve_compress.jsonldataset_solve_erosion.jsonl- disableddataset_solve_fractal.jsonldataset_solve_grid.jsonl- disableddataset_solve_outline.jsonl- disableddataset_solve_probecolor.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonl- disableddataset_solve_zindex.jsonl- disableddataset_symmetry.jsonl- disabled
Version 91
Added dataset.
Enabled all datasets.
Datasets:
dataset_cellular_automaton.jsonldataset_dilation.jsonldataset_erotion.jsonldataset_histogram.jsonldataset_image.jsonldataset_image_pair.jsonldataset_mass.jsonldataset_scale.jsonldataset_shape.jsonldataset_solve_color.jsonldataset_solve_compress.jsonldataset_solve_erosion.jsonldataset_solve_fractal.jsonldataset_solve_grid.jsonldataset_solve_mass.jsonl- addeddataset_solve_outline.jsonldataset_solve_probecolor.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_solve_zindex.jsonldataset_symmetry.jsonl
Version 92
Different random seed.
Version 93
Added dataset.
Datasets:
dataset_cellular_automaton.jsonldataset_dilation.jsonldataset_erotion.jsonldataset_histogram.jsonldataset_image.jsonldataset_image_pair.jsonldataset_mass.jsonldataset_scale.jsonldataset_shape.jsonldataset_solve_bool.jsonl- addeddataset_solve_color.jsonldataset_solve_compress.jsonldataset_solve_erosion.jsonldataset_solve_fractal.jsonldataset_solve_grid.jsonldataset_solve_mass.jsonldataset_solve_outline.jsonldataset_solve_probecolor.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_solve_zindex.jsonldataset_symmetry.jsonl
Version 94
Added dataset.
Disabled datasets that doesn't solve ARC tasks.
Datasets:
dataset_cellular_automaton.jsonl- disableddataset_dilation.jsonl- disableddataset_erotion.jsonl- disableddataset_histogram.jsonl- disableddataset_image.jsonl- disableddataset_image_pair.jsonl- disableddataset_mass.jsonl- disableddataset_scale.jsonl- disableddataset_shape.jsonl- disableddataset_solve_bool.jsonldataset_solve_color.jsonldataset_solve_compress.jsonldataset_solve_edge.jsonl- addeddataset_solve_erosion.jsonldataset_solve_fractal.jsonldataset_solve_grid.jsonldataset_solve_mass.jsonldataset_solve_outline.jsonldataset_solve_probecolor.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_solve_zindex.jsonldataset_symmetry.jsonl- disabled
Version 95
Added dataset.
Datasets:
dataset_cellular_automaton.jsonldataset_dilation.jsonldataset_erotion.jsonldataset_histogram.jsonldataset_image.jsonldataset_image_pair.jsonldataset_mass.jsonldataset_scale.jsonldataset_shape.jsonldataset_solve_bool.jsonldataset_solve_color.jsonldataset_solve_compress.jsonldataset_solve_edge.jsonldataset_solve_erosion.jsonldataset_solve_fractal.jsonldataset_solve_grid.jsonldataset_solve_half.jsonl- addeddataset_solve_mass.jsonldataset_solve_outline.jsonldataset_solve_probecolor.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_solve_zindex.jsonldataset_symmetry.jsonl
Version 96
Datasets:
dataset_cellular_automaton.jsonldataset_dilation.jsonldataset_erotion.jsonldataset_histogram.jsonldataset_image.jsonldataset_image_pair.jsonldataset_mass.jsonldataset_scale.jsonldataset_shape.jsonldataset_solve_bool.jsonldataset_solve_color.jsonldataset_solve_compress.jsonldataset_solve_edge.jsonldataset_solve_erosion.jsonldataset_solve_fractal.jsonldataset_solve_grid.jsonldataset_solve_half.jsonldataset_solve_mass.jsonldataset_solve_outline.jsonldataset_solve_probecolor.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_solve_zindex.jsonl- major update.dataset_symmetry.jsonl
Version 97
Disabled the first half of the datasets.
Datasets:
dataset_cellular_automaton.jsonl- disableddataset_dilation.jsonl- disableddataset_erotion.jsonl- disableddataset_histogram.jsonl- disableddataset_image.jsonl- disableddataset_image_pair.jsonl- disableddataset_mass.jsonl- disableddataset_scale.jsonl- disableddataset_shape.jsonl- disableddataset_solve_bool.jsonl- disableddataset_solve_color.jsonl- disableddataset_solve_compress.jsonl- disableddataset_solve_edge.jsonldataset_solve_erosion.jsonldataset_solve_fractal.jsonldataset_solve_grid.jsonldataset_solve_half.jsonldataset_solve_mass.jsonldataset_solve_outline.jsonldataset_solve_probecolor.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_solve_zindex.jsonldataset_symmetry.jsonl
Version 98
Disabled the last half of the datasets.
Datasets:
dataset_cellular_automaton.jsonldataset_dilation.jsonldataset_erotion.jsonldataset_histogram.jsonldataset_image.jsonldataset_image_pair.jsonldataset_mass.jsonldataset_scale.jsonldataset_shape.jsonldataset_solve_bool.jsonldataset_solve_color.jsonldataset_solve_compress.jsonldataset_solve_edge.jsonl- disableddataset_solve_erosion.jsonl- disableddataset_solve_fractal.jsonl- disableddataset_solve_grid.jsonl- disableddataset_solve_half.jsonl- disableddataset_solve_mass.jsonl- disableddataset_solve_outline.jsonl- disableddataset_solve_probecolor.jsonl- disableddataset_solve_rotate.jsonl- disableddataset_solve_scale.jsonl- disableddataset_solve_symmetry.jsonl- disableddataset_solve_translate.jsonl- disableddataset_solve_zindex.jsonl- disableddataset_symmetry.jsonl- disabled
Version 99
Disabled the 1/4th of the datasets.
Datasets:
dataset_cellular_automaton.jsonl- disableddataset_dilation.jsonl- disableddataset_erotion.jsonl- disableddataset_histogram.jsonl- disableddataset_image.jsonl- disableddataset_image_pair.jsonl- disableddataset_mass.jsonl- disableddataset_scale.jsonl- disableddataset_shape.jsonl- disableddataset_solve_bool.jsonl- disableddataset_solve_color.jsonl- disableddataset_solve_compress.jsonl- disableddataset_solve_edge.jsonldataset_solve_erosion.jsonldataset_solve_fractal.jsonldataset_solve_grid.jsonldataset_solve_half.jsonldataset_solve_mass.jsonldataset_solve_outline.jsonldataset_solve_probecolor.jsonl- disableddataset_solve_rotate.jsonl- disableddataset_solve_scale.jsonl- disableddataset_solve_symmetry.jsonl- disableddataset_solve_translate.jsonl- disableddataset_solve_zindex.jsonl- disableddataset_symmetry.jsonl- disabled
Version 100
Added dataset.
Datasets:
dataset_cellular_automaton.jsonldataset_dilation.jsonldataset_erotion.jsonldataset_histogram.jsonldataset_image.jsonldataset_image_pair.jsonldataset_mass.jsonldataset_scale.jsonldataset_shape.jsonldataset_solve_bool.jsonldataset_solve_color.jsonldataset_solve_compress.jsonldataset_solve_edge.jsonldataset_solve_erosion.jsonldataset_solve_fractal.jsonldataset_solve_grid.jsonldataset_solve_half.jsonldataset_solve_mask.jsonl- addeddataset_solve_mass.jsonldataset_solve_outline.jsonldataset_solve_probecolor.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_solve_zindex.jsonldataset_symmetry.jsonl
Version 101
Disabled the non solving datasets.
Datasets:
dataset_cellular_automaton.jsonl- disableddataset_dilation.jsonl- disableddataset_erotion.jsonl- disableddataset_histogram.jsonl- disableddataset_image.jsonl- disableddataset_image_pair.jsonl- disableddataset_mass.jsonl- disableddataset_scale.jsonl- disableddataset_shape.jsonl- disableddataset_solve_bool.jsonldataset_solve_color.jsonldataset_solve_compress.jsonldataset_solve_edge.jsonldataset_solve_erosion.jsonldataset_solve_fractal.jsonldataset_solve_grid.jsonldataset_solve_half.jsonldataset_solve_mask.jsonldataset_solve_mass.jsonldataset_solve_outline.jsonldataset_solve_probecolor.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_solve_zindex.jsonldataset_symmetry.jsonl- disabled
Version 102
Added dataset
Datasets:
dataset_cellular_automaton.jsonldataset_dilation.jsonldataset_erotion.jsonldataset_histogram.jsonldataset_image.jsonldataset_image_pair.jsonldataset_mass.jsonldataset_scale.jsonldataset_shape.jsonldataset_solve_bool.jsonldataset_solve_boundingbox.jsonl- addeddataset_solve_color.jsonldataset_solve_compress.jsonldataset_solve_edge.jsonldataset_solve_erosion.jsonldataset_solve_fractal.jsonldataset_solve_grid.jsonldataset_solve_half.jsonldataset_solve_mask.jsonldataset_solve_mass.jsonldataset_solve_outline.jsonldataset_solve_probecolor.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_solve_zindex.jsonldataset_symmetry.jsonl
Version 103
Different random seed.
Version 104
Disabled the non solving datasets.
Datasets:
dataset_cellular_automaton.jsonl- disableddataset_dilation.jsonl- disableddataset_erotion.jsonl- disableddataset_histogram.jsonl- disableddataset_image.jsonl- disableddataset_image_pair.jsonl- disableddataset_mass.jsonl- disableddataset_scale.jsonl- disableddataset_shape.jsonl- disableddataset_solve_bool.jsonldataset_solve_boundingbox.jsonldataset_solve_color.jsonldataset_solve_compress.jsonldataset_solve_edge.jsonldataset_solve_erosion.jsonldataset_solve_fractal.jsonldataset_solve_grid.jsonldataset_solve_half.jsonldataset_solve_mask.jsonldataset_solve_mass.jsonldataset_solve_outline.jsonldataset_solve_probecolor.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_solve_zindex.jsonldataset_symmetry.jsonl- disabled
Version 105
Major update to dataset_solve_scale.jsonl with scaling down noisy images.
Datasets:
dataset_cellular_automaton.jsonldataset_dilation.jsonldataset_erotion.jsonldataset_histogram.jsonldataset_image.jsonldataset_image_pair.jsonldataset_mass.jsonldataset_scale.jsonldataset_shape.jsonldataset_solve_bool.jsonldataset_solve_boundingbox.jsonldataset_solve_color.jsonldataset_solve_compress.jsonldataset_solve_edge.jsonldataset_solve_erosion.jsonldataset_solve_fractal.jsonldataset_solve_grid.jsonldataset_solve_half.jsonldataset_solve_mask.jsonldataset_solve_mass.jsonldataset_solve_outline.jsonldataset_solve_probecolor.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonl- scale down noisy imagesdataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_solve_zindex.jsonldataset_symmetry.jsonl
Version 106
Different random seed.
Version 107
Added dataset
Datasets:
dataset_cellular_automaton.jsonldataset_dilation.jsonldataset_erotion.jsonldataset_histogram.jsonldataset_image.jsonldataset_image_pair.jsonldataset_mass.jsonldataset_scale.jsonldataset_shape.jsonldataset_solve_bool.jsonldataset_solve_boundingbox.jsonldataset_solve_color.jsonldataset_solve_compress.jsonldataset_solve_edge.jsonldataset_solve_erosion.jsonldataset_solve_fractal.jsonldataset_solve_grid.jsonldataset_solve_half.jsonldataset_solve_mask.jsonldataset_solve_mass.jsonldataset_solve_outline.jsonldataset_solve_probecolor.jsonldataset_solve_ray.jsonl- addeddataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_solve_zindex.jsonldataset_symmetry.jsonl
Version 108
Added dataset
Datasets:
dataset_cellular_automaton.jsonldataset_dilation.jsonldataset_erotion.jsonldataset_histogram.jsonldataset_image.jsonldataset_image_pair.jsonldataset_mass.jsonldataset_scale.jsonldataset_shape.jsonldataset_solve_bool.jsonldataset_solve_boundingbox.jsonldataset_solve_color.jsonldataset_solve_compress.jsonldataset_solve_edge.jsonldataset_solve_erosion.jsonldataset_solve_flip.jsonl- addeddataset_solve_fractal.jsonldataset_solve_grid.jsonldataset_solve_half.jsonldataset_solve_mask.jsonldataset_solve_mass.jsonldataset_solve_outline.jsonldataset_solve_probecolor.jsonldataset_solve_ray.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_solve_zindex.jsonldataset_symmetry.jsonl
Version 109
Different random seed.
Version 110
Added dataset
Datasets:
dataset_cellular_automaton.jsonldataset_dilation.jsonldataset_erotion.jsonldataset_histogram.jsonldataset_image.jsonldataset_image_pair.jsonldataset_mass.jsonldataset_scale.jsonldataset_shape.jsonldataset_solve_bool.jsonldataset_solve_boundingbox.jsonldataset_solve_color.jsonldataset_solve_compress.jsonldataset_solve_edge.jsonldataset_solve_erosion.jsonldataset_solve_flip.jsonldataset_solve_fractal.jsonldataset_solve_grid.jsonldataset_solve_half.jsonldataset_solve_halfplane.jsonl- addeddataset_solve_mask.jsonldataset_solve_mass.jsonldataset_solve_outline.jsonldataset_solve_probecolor.jsonldataset_solve_ray.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_solve_zindex.jsonldataset_symmetry.jsonl
Version 111
Different random seed.
Version 112
Different random seed.
Version 113
Different random seed.
Version 114
Major update to the dataset_solve-mass.jsonl, so it now includes mass_compare_adjacent_rows and mass_compare_adjacent_columns.
Version 115
Added dataset
Datasets:
dataset_cellular_automaton.jsonldataset_dilation.jsonldataset_erotion.jsonldataset_histogram.jsonldataset_image.jsonldataset_image_pair.jsonldataset_mass.jsonldataset_scale.jsonldataset_shape.jsonldataset_solve_bool.jsonldataset_solve_boundingbox.jsonldataset_solve_color.jsonldataset_solve_compress.jsonldataset_solve_edge.jsonldataset_solve_erosion.jsonldataset_solve_flip.jsonldataset_solve_fractal.jsonldataset_solve_gravity.jsonl- addeddataset_solve_grid.jsonldataset_solve_half.jsonldataset_solve_halfplane.jsonldataset_solve_mask.jsonldataset_solve_mass.jsonldataset_solve_outline.jsonldataset_solve_probecolor.jsonldataset_solve_ray.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_solve_zindex.jsonldataset_symmetry.jsonl
Version 116
Hypothesis. What if I train with a smaller dataset, will it converge faster? Reduced the number of rows in this dataset from 300k rows to 10k rows.
Version 117
Interesting, 10k rows seems to work fine with the model training. Picked new random rows.
Version 118
Still going with 10k rows. Picked new random rows.
Version 119
Still going with 10k rows. Picked new random rows.
Version 120
Switched to 20k rows.
Version 121
Still going with 20k rows. Picked new random rows.
Version 122
20k rows.
Added dataset_solve_reverse.jsonl.
Version 123
Doubled the number of rows to 40k rows.
Version 124
Set row count to 100k rows.
Major update to dataset_solve_gravity.jsonl.
Version 125
Row count: 100k rows.
Version 126
Row count: 20k rows.
Only these datasets are enabled:
dataset_solve_bool.jsonl
dataset_solve_boundingbox.jsonl
dataset_solve_color.jsonl
dataset_solve_compress.jsonl
dataset_solve_edge.jsonl
dataset_solve_erosion.jsonl
dataset_solve_flip.jsonl
dataset_solve_fractal.jsonl
dataset_solve_gravity.jsonl
dataset_solve_grid.jsonl
dataset_solve_half.jsonl
dataset_solve_halfplane.jsonl
dataset_solve_mask.jsonl
dataset_solve_mass.jsonl
dataset_solve_outline.jsonl
dataset_solve_probecolor.jsonl
dataset_solve_ray.jsonl
dataset_solve_reverse.jsonl
dataset_solve_rotate.jsonl
dataset_solve_scale.jsonl
dataset_solve_symmetry.jsonl
dataset_solve_translate.jsonl
dataset_solve_zindex.jsonl
Version 127
Row count: 20k rows.
Only these datasets are enabled:
dataset_solve_scale.jsonl
dataset_solve_symmetry.jsonl
dataset_solve_translate.jsonl
dataset_solve_zindex.jsonl
Version 128
Row count: 20k rows.
Only these datasets are enabled:
dataset_solve_probecolor.jsonl
dataset_solve_ray.jsonl
dataset_solve_reverse.jsonl
dataset_solve_rotate.jsonl
Version 129
Row count: 20k rows.
Only these datasets are enabled:
dataset_solve_gravity.jsonl
dataset_solve_grid.jsonl
dataset_solve_half.jsonl
dataset_solve_halfplane.jsonl
dataset_solve_mask.jsonl
dataset_solve_mass.jsonl
dataset_solve_outline.jsonl
Version 130
Row count: 20k rows.
Only these datasets are enabled:
dataset_solve_bool.jsonl
dataset_solve_boundingbox.jsonl
dataset_solve_color.jsonl
dataset_solve_compress.jsonl
dataset_solve_edge.jsonl
dataset_solve_erosion.jsonl
dataset_solve_flip.jsonl
dataset_solve_fractal.jsonl
Version 131
Switched back to 300k rows.
Enabled all the datasets.
Version 132
Random seed.
Version 133
Removed the rows that are longer than what can be fitted inside a 512 context length.
Version 134
Random seed.
Version 135
Random seed.
Version 136
Major update to the dataset_solve_gravity.jsonl file.
Version 137
Added dataset dataset_solve_skew.jsonl.
Version 138
Disabled several datasets.
# 'dataset_cellular_automaton.jsonl',
# 'dataset_dilation.jsonl',
# 'dataset_erosion.jsonl',
# 'dataset_histogram.jsonl',
# 'dataset_image.jsonl',
# 'dataset_image_pair.jsonl',
# 'dataset_mass.jsonl',
# 'dataset_scale.jsonl',
# 'dataset_shape.jsonl',
# 'dataset_solve_bool.jsonl',
'dataset_solve_boundingbox.jsonl',
'dataset_solve_color.jsonl',
'dataset_solve_compress.jsonl',
'dataset_solve_edge.jsonl',
'dataset_solve_erosion.jsonl',
'dataset_solve_flip.jsonl',
'dataset_solve_fractal.jsonl',
'dataset_solve_gravity.jsonl',
'dataset_solve_grid.jsonl',
'dataset_solve_half.jsonl',
# 'dataset_solve_halfplane.jsonl',
'dataset_solve_mask.jsonl',
'dataset_solve_mass.jsonl',
'dataset_solve_outline.jsonl',
'dataset_solve_probecolor.jsonl',
# 'dataset_solve_ray.jsonl',
# 'dataset_solve_reverse.jsonl',
'dataset_solve_rotate.jsonl',
'dataset_solve_scale.jsonl',
# 'dataset_solve_skew.jsonl',
'dataset_solve_symmetry.jsonl',
'dataset_solve_translate.jsonl',
'dataset_solve_zindex.jsonl',
# 'dataset_symmetry.jsonl',
Version 139
Disabled several datasets.
'dataset_cellular_automaton.jsonl',
'dataset_dilation.jsonl',
'dataset_erosion.jsonl',
'dataset_histogram.jsonl',
'dataset_image.jsonl',
'dataset_image_pair.jsonl',
'dataset_mass.jsonl',
'dataset_scale.jsonl',
'dataset_shape.jsonl',
'dataset_solve_bool.jsonl',
# 'dataset_solve_boundingbox.jsonl',
# 'dataset_solve_color.jsonl',
# 'dataset_solve_compress.jsonl',
# 'dataset_solve_edge.jsonl',
# 'dataset_solve_erosion.jsonl',
# 'dataset_solve_flip.jsonl',
# 'dataset_solve_fractal.jsonl',
# 'dataset_solve_gravity.jsonl',
# 'dataset_solve_grid.jsonl',
# 'dataset_solve_half.jsonl',
'dataset_solve_halfplane.jsonl',
# 'dataset_solve_mask.jsonl',
# 'dataset_solve_mass.jsonl',
# 'dataset_solve_outline.jsonl',
# 'dataset_solve_probecolor.jsonl',
'dataset_solve_ray.jsonl',
'dataset_solve_reverse.jsonl',
# 'dataset_solve_rotate.jsonl',
# 'dataset_solve_scale.jsonl',
'dataset_solve_skew.jsonl',
# 'dataset_solve_symmetry.jsonl',
# 'dataset_solve_translate.jsonl',
# 'dataset_solve_zindex.jsonl',
'dataset_symmetry.jsonl',
Version 140
Enabled all datasets.
Added new dataset: dataset_solve_cross.jsonl.
Version 141
Switched to 30k rows.
Disabled several datasets.
# 'dataset_cellular_automaton.jsonl',
# 'dataset_dilation.jsonl',
# 'dataset_erosion.jsonl',
# 'dataset_histogram.jsonl',
# 'dataset_image.jsonl',
# 'dataset_image_pair.jsonl',
# 'dataset_mass.jsonl',
# 'dataset_scale.jsonl',
# 'dataset_shape.jsonl',
# 'dataset_solve_bool.jsonl',
'dataset_solve_boundingbox.jsonl',
'dataset_solve_color.jsonl',
'dataset_solve_compress.jsonl',
# 'dataset_solve_cross.jsonl',
'dataset_solve_edge.jsonl',
'dataset_solve_erosion.jsonl',
'dataset_solve_flip.jsonl',
'dataset_solve_fractal.jsonl',
# 'dataset_solve_gravity.jsonl',
'dataset_solve_grid.jsonl',
'dataset_solve_half.jsonl',
# 'dataset_solve_halfplane.jsonl',
'dataset_solve_mask.jsonl',
'dataset_solve_mass.jsonl',
'dataset_solve_outline.jsonl',
'dataset_solve_probecolor.jsonl',
'dataset_solve_ray.jsonl',
# 'dataset_solve_reverse.jsonl',
'dataset_solve_rotate.jsonl',
'dataset_solve_scale.jsonl',
'dataset_solve_skew.jsonl',
'dataset_solve_symmetry.jsonl',
'dataset_solve_translate.jsonl',
# 'dataset_solve_zindex.jsonl',
# 'dataset_symmetry.jsonl',
Version 142
Switched to 300k rows.
Enabled all datasets.
Switched from 512 context to 1024 context.
Version 143
Bigger images in dataset_solve_cross.jsonl and in dataset_solve_mass.jsonl.
Version 144
Major update to dataset_solve_symmetry.jsonl.
Version 145
Added dataset_solve_span.jsonl.
Version 146
Extended dataset_solve_span.jsonl with generate_task_with_template_lines.
Version 147
Extended dataset_solve_span.jsonl with generate_task_with_alternate.
Version 148
Added dataset_solve_count.jsonl.
Version 149
Randomized.
Version 150
Upgraded context length for several datasets from 512 to 1024.
Version 151
Randomized.
Version 152
Randomized.
Version 153
Extended dataset_solve_mask.jsonl with generate_task_repair_rectangle_and_crop.
Version 154
Extended dataset_solve_color.jsonl with generate_task_replace_color.
Version 155
Major update to datasets in the range from dataset_solve_axxx.jsonl to dataset_solve_mask.jsonl.
Now there is an earlier prediction for the output that is to be predicted. It may contain a hint, or it may be garbage that is to be ignored.
Version 156
Only 2000 rows.
Only these datasets. 'dataset_cellular_automaton.jsonl', 'dataset_dilation.jsonl', 'dataset_erosion.jsonl', 'dataset_histogram.jsonl', 'dataset_image.jsonl', 'dataset_image_pair.jsonl', 'dataset_mass.jsonl', 'dataset_scale.jsonl', 'dataset_shape.jsonl', 'dataset_symmetry.jsonl',
Version 157
Only these datasets.
- 'dataset_solve_bool.jsonl',
- 'dataset_solve_boundingbox.jsonl',
- 'dataset_solve_color.jsonl',
- 'dataset_solve_compress.jsonl',
- 'dataset_solve_count.jsonl',
- 'dataset_solve_cross.jsonl',
- 'dataset_solve_edge.jsonl',
- 'dataset_solve_erosion.jsonl',
- 'dataset_solve_flip.jsonl',
- 'dataset_solve_fractal.jsonl',
- 'dataset_solve_gravity.jsonl',
- 'dataset_solve_grid.jsonl',
- 'dataset_solve_half.jsonl',
- 'dataset_solve_halfplane.jsonl',
- 'dataset_solve_mask.jsonl',
- 'dataset_solve_mass.jsonl',
- 'dataset_solve_outline.jsonl',
- 'dataset_solve_probecolor.jsonl',
- 'dataset_solve_ray.jsonl',
- 'dataset_solve_reverse.jsonl',
- 'dataset_solve_rotate.jsonl',
- 'dataset_solve_scale.jsonl',
- 'dataset_solve_span.jsonl',
- 'dataset_solve_skew.jsonl',
- 'dataset_solve_symmetry.jsonl',
- 'dataset_solve_translate.jsonl',
- 'dataset_solve_zindex.jsonl',
Version 158
Only these datasets.
dataset_solve_boundingbox.jsonldataset_solve_rectangle.jsonl
Versin 159
Enabled all the _solve_ datasets.
Version 160
Regenerated all the _solve_ datasets with new seed.
Version 161
Regenerated all the _solve_ datasets with new seed.
Version 162
Replaced RLE compressed response with raw pixel response.
Version 163
Added more generators
- DatasetSolveCount
- DatasetSolveCross
- DatasetSolveEdge
- DatasetSolveErosion
- DatasetSolveFlip
- DatasetSolveFractal
Version 164
Increased row count from 1000 to 2000.
Version 165
Added more generators.
Version 166
Added more generators.
Version 167
Added more generators.
Version 168
Added more generators.
Version 169
Generated data.
Version 170
Generated data.
Version 171
Generated data.
Increased output context length from 256 to 512.
Version 172
Generated data.
Version 173
Generated data.
Version 174
Generated data.
Version 175
Generated data.
Version 176
Generated data.
Version 177
Increased the number of rows from 2000 to 4000.
Generated data.
Version 178
Generated data.
Version 179
Generated data.
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