instruction stringclasses 399
values | input stringlengths 89 3.29k | output stringlengths 1 899 | arc_task stringlengths 289 23.3k | test_index int64 0 1 | earlier_output stringclasses 1
value | benchmark stringclasses 547
values |
|---|---|---|---|---|---|---|
SIMONSOLVEV1, O4T, predict pixels | I0
23 8 5956a969a6a969a64a6c9,b64646b9494a9g6,b649h696964b96,69a6594546969646b49646,9a69a69b696a4a69695a16,c96b9a84a96a969a1964,5b69a6469c8a9a165a64,9b6469a646a46a86969b6
O0
23 8 3,5956a9a3a69363634a3c9,595a643b949496363c69,56549c69696a939b6b9,69565945496a9643b49649,c6564b696a4a69695a16,c96b9a84a9c69a1916,5d96489c8a9b1... | 333
153
513
663
143
243
111
141
611 | {"train":[{"input":[[5,9,5,6,9,9,6,9,6,6,9,9,6,9,6,6,4,6,6,9,9,9,9],[6,6,6,4,6,4,6,9,9,9,4,9,4,9,9,6,6,6,6,6,6,6,6],[6,6,6,4,9,6,6,6,6,6,6,6,6,6,9,6,9,6,4,9,9,9,6],[6,9,6,6,5,9,4,5,4,6,9,6,9,6,4,6,4,4,4,9,6,4,6],[9,6,6,9,6,6,9,6,6,6,9,6,4,4,6,6,9,6,9,5,1,1,6],[9,9,9,9,6,9,9,9,8,8,4,9,9,6,9,9,6,9,1,1,9,6,4],[5,6,6,6,9,6... | 0 | dataset=solve_probecolor group=probecolor_top predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=d | |
SIMON-SOLVE-V1, O5T, predict pixels | I0
13 10 2,a23i2,2,,i23a2,c23g2,j232,2,c23g2,23j2
O0
5 18 78b7,a78a7,7b87,78b7,a78a7,7b87,78b7,a78a7,7b87,78b7,a78a7,7b87,78b7,a78a7,7b87,78b7,a78a7,7b87
I1
6 14 3d2,2,,,23c2,2,,23c2,2,c232,2,,,
O1
5 12 78b7,a78a7,7b87,78b7,a78a7,7b87,78b7,a78a7,7b87,78b7,a78a7,7b87
I2
13 11 2,23i23,j232,2,,,,,e2323c2,2,h23b2
O2
5 18 7... | 78777
77877
78887
78777
77877
78887
78777
77877
78887
78777
77877
78887 | {"train":[{"input":[[2,2,2,2,2,2,2,2,2,2,2,2,2],[2,2,3,2,2,2,2,2,2,2,2,2,2],[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],[2,2,2,2,2,2,2,2,2,2,3,2,2],[2,2,2,2,3,2,2,2,2,2,2,2,2],[2,2,2,2,2,2,2,2,2,2,2,3,2],[2,2,2,2,2,2,2,2,2,2,2,2,2],[2,2,2,2,3,2,2,2,2,2,2,2,2],[2,3,2,2,2,2,2,2,2,2,2,2,2]],"output":[[7,8,7,7,... | 1 | dataset=solve_count group=count_pixels_and_repeat_output_pattern repeat_y predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b | |
SIMONSOLVEVERSION1, O4T, predict pixels | I0
18 19 a790a706c79a06a7,c7906a7960b76a7,b76c79a6e70,9b76d76a70c7,6a76707a67070c79,e7079a70d70,a796796a70c7a6a7,7979c7b6a70a797,79h76a76190,c76c7679a71069,067a9g710769,676a7d6761d7,c76797a961d67,b79769c71a76976,70b9d71b7b67,6d79691a79d7,790690a71b5a6a090,70a6b715a70a76b7,7979696a0696a06a76
O0
18 19 a907a067c90a67a3,c9... | 33333333
00093333
00089333
00098693
00009893
79009333
77093333
77597933
00799333
85555933
33333333 | {"train":[{"input":[[7,7,9,0,7,7,0,6,7,7,7,7,9,0,0,6,7,7],[7,7,7,7,9,0,6,7,7,9,6,0,7,7,7,6,7,7],[7,7,7,6,7,7,7,7,9,6,6,7,7,7,7,7,7,0],[9,7,7,7,6,7,7,7,7,7,6,7,7,0,7,7,7,7],[6,7,7,6,7,0,7,6,6,7,0,7,0,7,7,7,7,9],[7,7,7,7,7,7,0,7,9,7,7,0,7,7,7,7,7,0],[7,7,9,6,7,9,6,7,7,0,7,7,7,7,6,6,7,7],[7,9,7,9,7,7,7,7,6,6,6,7,7,0,7,7,9... | 0 | dataset=solve_probecolor group=probecolor_right predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=d | |
SIMON-SOLVE-V1 'O4T' predict the pixels | I0
19 17 1b94g914a1a9,949191a9a7a9b191a9,c9494a94941b9719,c919a19191f9,a9b1419171b94c9,c914a91d0d9,d96b091a494c9,9a7a96a91a919494191,191a967914c1914a9,4b916791e97497,94a946c9a1a9147a9,914146a91b971c91,9a4a16b94d971a9,b9176d949194949,14b964a91949171b9,a91a96a19497a91c9,a1g9a1b91b9
O0
19 17 1b04g014a1a0,040101a0a7a0b101a... | 3339332223933393
3223333239393999
3233222333233332
9333333932933399
3939392236232333
2239333296333293
3339339336239933
3993333333639332
9232393332633333
9933322333693333
3233929292932933
2933329329323232
9323323222233333
9323333939333393
3393393222339339
3333393333233233 | {"train":[{"input":[[1,9,9,9,4,9,9,9,9,9,9,9,9,1,4,1,1,9,9],[9,4,9,1,9,1,9,9,7,7,9,9,1,1,1,9,1,9,9],[9,9,9,9,4,9,4,9,9,4,9,4,1,9,9,9,7,1,9],[9,9,9,9,1,9,1,1,9,1,9,1,9,9,9,9,9,9,9],[9,9,1,1,1,4,1,9,1,7,1,9,9,9,4,9,9,9,9],[9,9,9,9,1,4,9,9,1,0,0,0,0,0,9,9,9,9,9],[9,9,9,9,9,6,0,0,0,9,1,4,4,9,4,9,9,9,9],[9,7,7,9,9,6,9,9,1,9... | 1 | dataset=solve_color group=swap_most_and_least_popular_colors predict=rawpixels earlier_prediction=none image_width=medium image_height=large task_pixels=d | |
Simon-Solve-V1 'O2T' predict the raw pixels | I0
45 20 n1d4i1d4i1,,,,,s1i4d1i4,,,,,d4z1l1,,,,,d1i4z1b1,,,,
O0
3 2 1a4,4a1
I1
20 45 1,,,,,d4d1d4d1,,,,,4,,,,,1,,,,,i1d4d1,,,,,i1i4,,,,,1,,,,,,,,,,,,,,
O1
2 3 4,14,1
I2T
45 45 z1b1i4d1,,,,,1,,,,,z1b1n4,,,,,i4d1i4d1i4d1,,,,,1,,,,,4,,,,,1,,,,,,,,,,,,,,
O2T
None
I3T
20 45 1,,,,,,,,,,,,,,,i4i1,,,,,d1d4i1,,,,,1,,,,,4,,,,,d1... | 114
444
111 | {"train":[{"input":[[1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,4,4,4,4,4,1,1,1,1,1,1,1,1,1,1,4,4,4,4,4,1,1,1,1,1,1,1,1,1,1],[1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,4,4,4,4,4,1,1,1,1,1,1,1,1,1,1,4,4,4,4,4,1,1,1,1,1,1,1,1,1,1],[1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,4,4,4,4,4,1,1,1,1,1,1,1,1,1,1,4,4,4,4,4,1,1,1,1,1,1,1,1,1,1],[1,1,1,1,1,1,1,1,1,1,1,1... | 0 | dataset=solve_fractal group=fractal_to_pattern predict=rawpixels earlier_prediction=none image_width=other image_height=other task_pixels=e | |
simonsolvev1, 'O4T', predict the raw pixels | I0
5 7 c28,2,,,8c2,2,28282
O0
5 7 a82a8,a8282,,,,28282,
I1
9 7 8g2,g28,f282,2,,,a28e2
O1
9 7 828c2a8,a28c2a8,a28c282,a28e2,,,
I2
3 9 2,,,a28,2,a28,2,,
O2
3 9 a28,,,,,,2,,
I3
6 7 2,,,2828a2,8a28a2,d28,2
O3
6 7 a82828,,,,8a2828,d28,2
I4T
7 7 d282,2,e28,2,,,
O4T
None | 2222288
2222228
2222228
2222222
2222222
2222222
2222222 | {"train":[{"input":[[2,2,2,2,8],[2,2,2,2,2],[2,2,2,2,2],[2,2,2,2,2],[8,2,2,2,2],[2,2,2,2,2],[2,8,2,8,2]],"output":[[8,8,2,8,8],[8,8,2,8,2],[8,8,2,8,2],[8,8,2,8,2],[8,8,2,8,2],[2,8,2,8,2],[2,8,2,8,2]]},{"input":[[8,2,2,2,2,2,2,2,2],[2,2,2,2,2,2,2,2,8],[2,2,2,2,2,2,2,8,2],[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_gravity group=gravity_draw_bottom_to_top predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a | |
SIMON-SOLVE-V1 predict pixels for O4T | I0
16 26 8,,,,,,a80l8,g80f8,8,,,,l8623,l8a62,8,,,,,,,,,,,f80g8
O0
3 6 623,a62,623,a62,623,a62
I1
22 14 80s8,8,,d80o8,a80r8,8420l80c8,827r8,8,,,,,,
O1
2 10 42,27,42,27,42,27,42,27,42,27
I2
6 25 8,,,,80c8,8,,,,,,816928,86a128,861618,869198,8,,,,,a80b8,8,,,
O2
4 8 1692,6a12,6161,6919,1692,6a12,6161,6919
I3T
25 24 8,,,v846... | 535
439
423
535
439
423
535
439
423 | {"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],[8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8],[8,8,0,8,8,8,8,8,8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8,0,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8,8,8,8,8,8,8... | 1 | 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
12 17 4,,,,,,,,d43e4,4,,f43c4,a4719f4,a4919d434,a4b1f4,a4a17f4,a40a6f4
O0
9 5 719719719,91a91a919,1,a17a17a17,0a60a60a6
I1
29 6 d45a7s43,c43576t4,4,43z4,4,o43k4
O1
12 2 5a75a75a75a7,576576576576
I2
11 19 4,,a43g4,4,,a4a25e4,a41a2e4,4,e43c4,4,,,,,,,,,
O2
6 2 a25a25,1a21a2
I3T
29 12 a43y4,4,,h460a8d43i4,h461a0o4,h4968... | 6088608860886088
6100610061006100
9681968196819681
2618261826182618
5819581958195819 | {"train":[{"input":[[4,4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,3,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4... | 0 | dataset=solve_count group=count_pixels_and_repeat_input_pattern repeat_x predict=rawpixels earlier_prediction=none image_width=large image_height=medium task_pixels=c | |
SIMONSOLVEVERSION1 predict pixels for O4T | I0
6 7 a40404,04a6a0,a04b0,06b46,40a4a6,4a06a4,4a0a46
O0
6 7 a40604,0b4a0,a04b0,06b46,40a6a4,4a04a6,4a0a46
I1
7 7 a064b6,a0a46a4,06a46a4,6a46a46,b6c0,6464604,4a6a464
O1
7 7 a0a6a46,a0646a4,0a646a4,c4b6,a64c0,6c404,b64a64
I2
7 5 b404a0,404a0a4,a06b04,b0a4a0,a0b6a0
O2
7 5 a4604a0,404a0a4,a04b04,b0a6a0,a06a4a0
I3T
4 5 64a... | 444400
444004
640004
604064
044644 | {"train":[{"input":[[4,4,0,4,0,4],[0,4,6,6,0,0],[0,0,4,0,0,0],[0,6,4,4,4,6],[4,0,4,4,6,6],[4,0,0,6,4,4],[4,0,0,4,4,6]],"output":[[4,4,0,6,0,4],[0,4,4,4,0,0],[0,0,4,0,0,0],[0,6,4,4,4,6],[4,0,6,6,4,4],[4,0,0,4,6,6],[4,0,0,4,4,6]]},{"input":[[0,0,6,4,6,6,6],[0,0,4,4,6,4,4],[0,6,4,4,6,4,4],[6,4,4,6,4,4,6],[6,6,6,0,0,0,0],[... | 1 | dataset=solve_reverse group=reverse_chunks_topbottom predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a | |
SIMON-SOLVE-V1, 'O4T', predict the pixels | I0
5 9 a4a04,4a0a4,4,,,4a3a0,40430,4c0,a4b0
O0
5 9 7,,,7b67,7,,,,
I1
8 6 d1a71,b163b1,1a6a2b1,b27c1,1a25c1,171a2b1
O1
8 6 7,,e767,,,7
I2
8 7 9f2,98a27b2,b217b2,2a1d2,1c28a2,c26282,c26a28
O2
8 7 7,e767,,7,,a76d7,7
I3
11 9 c294a29a2,9b29c292,4a29c24a2,h292,a2924b2429,f29b2,42a9a29c2,24a28e2,b28f2
O3
11 9 7,,e76c7,,7,,h76... | 77777
76667
76667
76777
76777
77777
77777
77777
77777
76667
77777 | {"train":[{"input":[[4,4,0,0,4],[4,0,0,4,4],[4,4,4,4,4],[4,4,4,4,4],[4,4,4,4,4],[4,3,3,0,0],[4,0,4,3,0],[4,0,0,0,0],[4,4,0,0,0]],"output":[[7,7,7,7,7],[7,7,7,7,7],[7,7,7,7,7],[7,6,6,6,7],[7,7,7,7,7],[7,7,7,7,7],[7,7,7,7,7],[7,7,7,7,7],[7,7,7,7,7]]},{"input":[[1,1,1,1,1,7,7,1],[1,1,1,6,3,1,1,1],[1,6,6,2,2,1,1,1],[2,2,2,... | 0 | dataset=solve_erosion group=erosion all8 predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b | |
SIMON-SOLVE-VERSION1, 'O3T', predict the pixels | I0
19 3 0,f02j0,a0n6a0
O0
1 2 2,0
I1
9 6 e9069,d9a269,b9a296a9,a92b9a09,c90c9,a90e9
O1
1 2 6,9
I2
13 13 c2928e2,a29c28d2,a28b292a9b2,a2b8g2,a28928f2,28c28a28b2,8282928028b2,9a289230d2,b2b923a2929,f23b292,289a29f2,g28b28,b29a28e2
O2
1 2 0,2
I3T
15 8 8,g81e8,8,f84f8,,,g84e8,8
O3T
None
I4T
10 11 3575a71a05,93a1b50a5,953a5... | 1
8 | {"train":[{"input":[[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0],[0,0,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,0,0]],"output":[[2],[0]]},{"input":[[9,9,9,9,9,9,0,6,9],[9,9,9,9,9,2,2,6,9],[9,9,9,2,2,9,6,9,9],[9,9,2,9,9,9,0,0,9],[9,9,9,9,0,9,9,9,9],[9,9,0,9,9,9,9,9,9]],"output":[[6],[9]]},{"input"... | 0 | dataset=solve_color group=identify_most_and_least_popular_colors rotate_1 predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b | |
Simon-Solve-Version1, O3T, predict raw pixels | I0
4 7 6b5,5,9505,9519,a515,59a5,6565
O0
4 7 2,a212,2,,,a212,2
I1
7 4 7b27a2,a2427a2,a729a72,d2a9
O1
7 4 2,,a21c2,2
I2
8 11 0,,,,,b0b8a0,e089,e090,,d09a0,0
O2
8 11 2,2e12,,,21e2,2a1d2,21e2,2c1b2,2b1c2,2c1212,2
I3T
7 8 a0704a0,07a0a64,7070a40,4a07a47,a7a04a0,b07a40,b40b7,4a04074
O3T
None | 2222222
2212222
2222222
2222222
2222222
2222222
2222222
2222222 | {"train":[{"input":[[6,5,5,5],[5,5,5,5],[9,5,0,5],[9,5,1,9],[5,5,1,5],[5,9,5,5],[6,5,6,5]],"output":[[2,2,2,2],[2,2,1,2],[2,2,2,2],[2,2,2,2],[2,2,2,2],[2,2,1,2],[2,2,2,2]]},{"input":[[7,2,2,2,7,2,2],[2,2,4,2,7,2,2],[7,7,2,9,7,7,2],[2,2,2,2,2,9,9]],"output":[[2,2,2,2,2,2,2],[2,2,2,2,2,2,2],[2,2,1,2,2,2,2],[2,2,2,2,2,2,2... | 0 | dataset=solve_erosion group=erosion corner4 predict=rawpixels earlier_prediction=none image_width=small image_height=medium task_pixels=a | |
SIMON-SOLVE-VERSION1, 'O2T', predict the raw pixels | I0
3 12 4a1,731,7a1,471,171,,041,071,a19,1,,
O0
3 9 4a1,731,7a1,471,171,041,071,a19,1
I1
10 10 b83e8,c83d8,,d83c8,a89b83b8,a89b86b8,a89c86a8,a89f8,8,
O1
8 8 a83d8,b83c8,c83b8,89b83a8,89b86a8,89c868,89e8,8
I2T
10 2 3h5,15b9d0
O2T
None | 3555
1590 | {"train":[{"input":[[4,1,1],[7,3,1],[7,1,1],[4,7,1],[1,7,1],[1,7,1],[0,4,1],[0,7,1],[1,1,9],[1,1,1],[1,1,1],[1,1,1]],"output":[[4,1,1],[7,3,1],[7,1,1],[4,7,1],[1,7,1],[0,4,1],[0,7,1],[1,1,9],[1,1,1]]},{"input":[[8,8,8,3,8,8,8,8,8,8],[8,8,8,8,3,8,8,8,8,8],[8,8,8,8,3,8,8,8,8,8],[8,8,8,8,8,3,8,8,8,8],[8,8,9,8,8,8,3,8,8,8]... | 0 | dataset=solve_compress group=compressxy predict=rawpixels earlier_prediction=none image_width=small image_height=medium task_pixels=a | |
SIMON-SOLVE-V1 'O3T' predict the pixels | I0
14 7 1a9a17g1,a19a167a12b19,c1969751a251,c1b75a7a521,c76915a21912,b1b05217b19,9c15a1b0a19
O0
14 7 9c15a1b0a19,b1b05217b19,c76915a21912,c1b75a7a521,c1969751a251,a19a167a12b19,1a9a17g1
I1
7 24 a0b5a0,053c0,a593b5,a0930a5,05903a0,5095020,a595025,0595250,a5902a0,5092b0,a092505,a592a50,a020505,a020b5,502b05,5290b5,02950a... | 8000800080071000555558000
8000805555557711108080000
0995558080008077711080000
0009908807777777000800080
8008077778808808778008080
8880008080008000007000000
8000008080080000088008008 | {"train":[{"input":[[1,9,9,1,1,7,1,1,1,1,1,1,1,1],[1,1,9,1,1,6,7,1,1,2,1,1,1,9],[1,1,1,1,9,6,9,7,5,1,2,2,5,1],[1,1,1,1,7,7,7,5,7,7,5,5,2,1],[7,7,7,7,6,9,1,5,2,2,1,9,1,2],[1,1,1,0,0,0,5,2,1,7,1,1,1,9],[9,1,1,1,1,5,1,1,0,0,0,1,1,9]],"output":[[9,1,1,1,1,5,1,1,0,0,0,1,1,9],[1,1,1,0,0,0,5,2,1,7,1,1,1,9],[7,7,7,7,6,9,1,5,2,... | 0 | dataset=solve_rotate group=flipy predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=d | |
SIMONSOLVEVERSION1 'O2T' predict the pixels | I0
17 13 5,,a5c8a5e8a58,5,,a5c8a5e8a52,,,5,,a5c2a5e8a58,5,
O0
3 3 a82,2a8,8
I1
21 14 5,,a5e9a5a7a5c7a57,,,5,,a5e7a5a7a5c1b5,,,,,5,
O1
4 2 51a7,b79
I2T
17 22 5,,a5d2a53a53a5a7,,,,,,5,,a5d3a52a54a5a2,,5,,h53a57a5a7,,,5,,a5d2a57a52a5a2,5,
O2T
None | 2272
7735
2423
7332 | {"train":[{"input":[[5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5],[5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5],[5,5,8,8,8,8,5,5,8,8,8,8,8,8,5,5,8],[5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5],[5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5],[5,5,8,8,8,8,5,5,8,8,8,8,8,8,5,5,2],[5,5,8,8,8,8,5,5,8,8,8,8,8,8,5,5,2],[5,5,8,8,8,8,5,5,8,8,8,8,8,8,5,5,2],[5,5,5,5,5,5... | 0 | dataset=solve_grid group=extract_content_from_grid_180 predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=b | |
simon-solve-version1 'O4T' predict the pixels | I0
5 12 b5a8,a5858,c58,58585,c58,b585,c58,5,,,,58585
O0
4 12 a379,a3a9,3939,3937,,,39a3,3937,,,,3939
I1
15 15 a58b5a85a8a585,585a8f5a85,h5858585,c858b58a5a85,5a8b5858a58a58,a5a8b585b8585,f58b58b5,e58e585,d58c5858a5,a58f58c5,a858585a8585a85,85a85858d585,58d58a5a8585,a58h58a5,g58e5
O1
14 15 3b79379379397,3937979739a397,3... | 993393393377793
993393793773937
993793993373937
993793793373933
793793793373777 | {"train":[{"input":[[5,5,5,8,8],[5,5,8,5,8],[5,5,5,5,8],[5,8,5,8,5],[5,5,5,5,8],[5,5,5,8,5],[5,5,5,5,8],[5,5,5,5,5],[5,5,5,5,5],[5,5,5,5,5],[5,5,5,5,5],[5,8,5,8,5]],"output":[[3,3,7,9],[3,3,9,9],[3,9,3,9],[3,9,3,7],[3,9,3,7],[3,9,3,7],[3,9,3,3],[3,9,3,7],[3,9,3,7],[3,9,3,7],[3,9,3,7],[3,9,3,9]]},{"input":[[5,5,8,5,5,5,... | 1 | dataset=solve_mass group=mass_compare_adjacent_columns predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c | |
simon-solve-v1, O3T, predict pixels | I0
7 3 b32823,b383a1,a323a21
O0
6 3 a32823,a383a1,323a21
I1
3 8 030,040,7a0,,410,310,190,1a0
O1
3 7 030,040,7a0,410,310,190,1a0
I2
2 8 84,87,83,,48,47,70,74
O2
2 7 84,87,83,48,47,70,74
I3T
3 7 2,,825,845,485,693,629
O3T
None | 222
825
845
485
693
629 | {"train":[{"input":[[3,3,3,2,8,2,3],[3,3,3,8,3,1,1],[3,3,2,3,2,2,1]],"output":[[3,3,2,8,2,3],[3,3,8,3,1,1],[3,2,3,2,2,1]]},{"input":[[0,3,0],[0,4,0],[7,0,0],[7,0,0],[4,1,0],[3,1,0],[1,9,0],[1,0,0]],"output":[[0,3,0],[0,4,0],[7,0,0],[4,1,0],[3,1,0],[1,9,0],[1,0,0]]},{"input":[[8,4],[8,7],[8,3],[8,3],[4,8],[4,7],[7,0],[7... | 0 | dataset=solve_compress group=compressxy predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a | |
Simon-Solve-Version1 'O2T' predict the raw pixels | I0
9 2 191a3b47,d4a171
O0
9 2 7b4a3191,17a1d4
I1
2 29 7,82,,85,,,81,,,,,,82,,,28,,,38,,,,,,,,,78,
O1
2 29 7,28,,58,,,18,,,,,,28,,,82,,,83,,,,,,,,,87,
I2T
29 11 6,,,,,,b68x6,b68n63h6,b68l6a93h6,b6i3c9k6,6
O2T
None
I3T
11 17 a6a06515650,a6065616505,05b6150b6,605a6156065,c6105c6,a6a51d65,60561e6,a6510a65a60,0a61565c6,b61b... | 66666666666666666666666666666
66666666666666666666666666666
66666666666666666666666666666
66666666666666666666666666666
66666666666666666666666666666
66666666666666666666666666666
66666666666666666666666668666
66666666636666666666666668666
66666666639966666666666668666
66666666666699993333333333666
66666666666666666666... | {"train":[{"input":[[1,9,1,3,3,4,4,4,7],[4,4,4,4,4,1,1,7,1]],"output":[[7,4,4,4,3,3,1,9,1],[1,7,1,1,4,4,4,4,4]]},{"input":[[7,7],[8,2],[8,2],[8,5],[8,5],[8,5],[8,1],[8,1],[8,1],[8,1],[8,1],[8,1],[8,2],[8,2],[8,2],[2,8],[2,8],[2,8],[3,8],[3,8],[3,8],[3,8],[3,8],[3,8],[3,8],[3,8],[3,8],[7,8],[7,8]],"output":[[7,7],[2,8],... | 0 | dataset=solve_rotate group=flipx predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=c | |
SIMONSOLVEVERSION1, 'O3T', predict the raw pixels | I0
7 6 2a062a0,2c060,2d06,6d06,6d02,a026b0
O0
7 6 6a062a0,6c060,2d02,2d06,,a026b0
I1
7 6 a2b0a2,2602b0,2d02,20602a0,60a2b0,a6d0
O1
7 6 a6b0a2,6202b0,2d02,20202a0,2062b0,26d0
I2
5 5 20a60,60202,06206,0a620,02620
O2
5 5 60a60,20606,0a202,06a20,0a620
I3T
7 7 b6b26,b26262,a6b2a6,2626b2,a2626a2,b2a602,6b26a2
O3T
None | 6222622
2226622
2262662
2626262
6622226
2226202
6662226 | {"train":[{"input":[[2,0,0,6,2,0,0],[2,0,0,0,0,6,0],[2,0,0,0,0,0,6],[6,0,0,0,0,0,6],[6,0,0,0,0,0,2],[0,0,2,6,0,0,0]],"output":[[6,0,0,6,2,0,0],[6,0,0,0,0,6,0],[2,0,0,0,0,0,2],[2,0,0,0,0,0,6],[2,0,0,0,0,0,6],[0,0,2,6,0,0,0]]},{"input":[[2,2,0,0,0,2,2],[2,6,0,2,0,0,0],[2,0,0,0,0,0,2],[2,0,6,0,2,0,0],[6,0,2,2,0,0,0],[6,6,... | 0 | dataset=solve_reverse group=reverse_chunks_topbottom predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a | |
Simon-Solve-Version1 predict raw pixels for O3T | I0
7 13 96c09,760a609,7d09,70b609,9d09,70b609,7060609,9a60a69,7a6a069,9060a69,7b0609,70a6069,9d09
O0
7 13 a96c0,760a609,7d09,70b609,a9d0,70b609,7060609,a9a60a6,7a6a069,a9060a6,7b0609,70a6069,a9d0
I1
6 8 7c09,70a609,706a09,7a0609,,9a6a09,7a0609,9b069
O1
6 8 7c09,70a609,706a09,7a0609,,a9a6a0,7a0609,a9b06
I2
10 13 7a6a06b... | 766006000060009
706606006000609
700606666066609
706066000006009
706000606606009
990606060600660
706000000660669
706066666060609
990060000600000
996060666060660
760000000066069 | {"train":[{"input":[[9,6,0,0,0,0,9],[7,6,0,6,6,0,9],[7,0,0,0,0,0,9],[7,0,6,6,6,0,9],[9,0,0,0,0,0,9],[7,0,6,6,6,0,9],[7,0,6,0,6,0,9],[9,6,6,0,6,6,9],[7,6,6,0,0,6,9],[9,0,6,0,6,6,9],[7,0,0,0,6,0,9],[7,0,6,6,0,6,9],[9,0,0,0,0,0,9]],"output":[[9,9,6,0,0,0,0],[7,6,0,6,6,0,9],[7,0,0,0,0,0,9],[7,0,6,6,6,0,9],[9,9,0,0,0,0,0],[... | 0 | dataset=solve_deform group=deform_line rotate_0 displacement_-1 predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c | |
Simon-Solve-Version1 'O3T' predict the pixels | I0
5 4 43453,4a343,3,3a434
O0
5 4 43453,34a34,3,43a43
I1
4 6 5a34,b34,a4a3,a343,4a35,5b4
O1
4 6 54a3,4b3,a3a4,34a3,a345,5b4
I2
7 7 5435353,a534b3,3454b5,c5343,5434353,3a53534,a53c5
O2
7 7 5345353,a5b343,4354b5,c5343,5343453,3a53543,a53c5
I3T
5 4 c35,,b4a3,a4a34
O3T
None
I4T
7 6 4b34a3,4a35b4,a454343,a545a43,34543a4,a34... | 33335
33335
33444
43344 | {"train":[{"input":[[4,3,4,5,3],[4,3,3,4,3],[3,3,3,3,3],[3,4,4,3,4]],"output":[[4,3,4,5,3],[3,4,3,3,4],[3,3,3,3,3],[4,3,4,4,3]]},{"input":[[5,3,3,4],[3,3,3,4],[4,4,3,3],[3,3,4,3],[4,3,3,5],[5,4,4,4]],"output":[[5,4,3,3],[4,3,3,3],[3,3,4,4],[3,4,3,3],[3,3,4,5],[5,4,4,4]]},{"input":[[5,4,3,5,3,5,3],[5,5,3,4,3,3,3],[3,4,5... | 0 | dataset=solve_reverse group=reverse_chunks_leftright predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a | |
SIMON-SOLVE-VERSION1 predict pixels for O3T | I0
20 41 0,,,,,,,,d0b3b9e3b0,,,,,,d0b9h3b0,,,d0b3b9e3b0,,,,,,d0b9h3b0,,,d0h3b9b0,,,,,,d0e3b9b3b0,,,0,,,,,
O0
6 9 b9b3,,,,,,b3b9,,
I1
24 32 0,,,,f0b3b9e3d0,,,,,,f0b9h3d0,,,f0b3b9e3d0,,,,,,f0b9h3d0,,,f0h3b9d0,,,,,,f0e3b9b3d0,,,0
O1
6 9 b9b3,,,,,,b3b9,,
I2T
30 41 0,,,,,,,,a0b3b9n3b9b30,,,a0e9k3e9b30,,,,,,a0t3b9b30,,,a0q3e... | 999333333
999333333
999333333
333999333
333999333
333999333
999999333
999999333
999999333 | {"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],[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],[0,0,0... | 1 | dataset=solve_fractal group=fractal_to_pattern predict=rawpixels earlier_prediction=none image_width=other image_height=other task_pixels=e | |
SIMON-SOLVE-V1 predict raw pixels for 'O4T' | I0
26 9 5,45a45c95e3f5b7,,5,65a25c45e05d95b9,,,,5
O0
2 6 46,42,94,30,59,79
I1
18 16 5,c25c35e252,,,,,5,c2e5e252,,,5,c25c25e352,,,,5
O1
3 4 2,352,a23,2
I2
6 23 5,c053,,,,,5,c052,5,c352,,,,5,c256,,,,,,5,c253,5
O2
5 2 a03a2,3a263
I3
7 15 5,a25c2,,,,5,a35c4,,,5,a25c3,,,,5
O3
3 2 232,243
I4T
25 27 5,c75d75b05b7505c4,,,,5,c3... | 739907
773074
004340
747057
047707
400707 | {"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],[4,5,4,4,5,9,9,9,9,5,3,3,3,3,3,3,5,5,5,5,5,5,5,7,7,7],[4,5,4,4,5,9,9,9,9,5,3,3,3,3,3,3,5,5,5,5,5,5,5,7,7,7],[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],[6,5,2,2,5,4,4,4,4,5,0,0,0,0,0,0,5,9,9,9,9,9,5,9,9,9],[6,5,2,2,5,4,4,4,4,5,0,0,0,0,0... | 0 | dataset=solve_grid group=extract_content_from_grid_flipa predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=c | |
Simon-Solve-V1 predict pixels for 'O5T' | I0
4 6 4,7b4,,4,a474,4
O0
4 6 7474,7b4,4,,,
I1
9 3 f474,4,7g4
O1
9 3 7e474,4,
I2
8 3 7f4,d47a4,7f4
O2
8 3 7c47a4,7f4,4
I3
9 3 g47,4,e47a4
O3
9 3 e4747,4,
I4T
6 3 47b47,47c4,b47a4
O4T
None
I5T
4 6 4,a7a4,4,,47a4,4
O5T
None | 7744
4744
4444
4444
4444
4444 | {"train":[{"input":[[4,4,4,4],[7,4,4,4],[7,4,4,4],[4,4,4,4],[4,4,7,4],[4,4,4,4]],"output":[[7,4,7,4],[7,4,4,4],[4,4,4,4],[4,4,4,4],[4,4,4,4],[4,4,4,4]]},{"input":[[4,4,4,4,4,4,4,7,4],[4,4,4,4,4,4,4,4,4],[7,4,4,4,4,4,4,4,4]],"output":[[7,4,4,4,4,4,4,7,4],[4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4]]},{"input":[[7,4,4,4,4,4,4... | 1 | dataset=solve_gravity group=gravity_move_bottom_to_top predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a | |
SIMON-SOLVE-V1, 'O4T', predict the pixels | I0
17 21 202a02a0a20a20a20,g3737a3b73,b73b737373b737,b37b37a37e3,3a7a37a3a73a73a73,c37a3737b37b3,3b7a3a7373737373,d37d3737373,3a73f7b3a73,b37e373b737,37373b73a7373737,37b37c3737b37,a373737d3d7,b7373a73a7b3737,c373a737a37b37,737a37a3737373a73,373a7a3a737e3,37b3b73f73,37a37b37g3,c7a37c37a37a3,0
O0
17 21 202a02a0a20a20a20... | 22022220220
77033330330
37337773373
33773777733
37377773733
37333333733
37377737333
37337337777
37737373333
37377773773
33733337333
00300003007 | {"train":[{"input":[[2,0,2,0,0,2,0,0,2,2,0,2,2,0,2,2,0],[3,3,3,3,3,3,3,3,7,3,7,3,3,7,7,7,3],[7,7,7,3,7,7,7,3,7,3,7,3,7,7,7,3,7],[3,3,3,7,3,3,3,7,3,3,7,3,3,3,3,3,3],[3,7,7,3,3,7,3,3,7,7,3,7,7,3,7,7,3],[3,3,3,3,7,3,3,7,3,7,3,3,3,7,3,3,3],[3,7,7,7,3,3,7,7,3,7,3,7,3,7,3,7,3],[3,3,3,3,3,7,3,3,3,3,3,7,3,7,3,7,3],[3,7,7,3,7,7... | 1 | dataset=solve_deform group=deform_line rotate_3 displacement_-1 predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=d | |
simonsolveversion1 'O3T' predict the pixels | I0
15 9 3i24a28,32c4b2c428,3a24a2b4d28,342c4a2c428,824c2a4a24a28,82c4b2424248,3d2c424a28,342a424c2b48,3b4c2a4c28
O0
15 9 3i24a28,32c4b2c428,3a24a2b4d28,342c4a2c428,84c2a4a24a282,8c4b24242482,3d2c424a28,342a424c2b48,3b4c2a4c28
I1
11 16 8b2a4a2a48,8a242d48,842424a2a48,3c2424248,3d4c28,3d242428,3a42a424a28,8b24b2428,32a42... | 3444424228
8222224284
8244442284
3422224248
3224424228
8442224282
3242424228
3242242228
8424444282
8244424284
8422224282
3242424228
3242422428
3242442248
8242224482
8222422482 | {"train":[{"input":[[3,2,2,2,2,2,2,2,2,2,2,4,2,2,8],[3,2,4,4,4,4,2,2,2,4,4,4,4,2,8],[3,2,2,4,2,2,4,4,4,2,2,2,2,2,8],[3,4,2,4,4,4,4,2,2,4,4,4,4,2,8],[8,2,4,2,2,2,2,4,4,2,2,4,2,2,8],[8,2,4,4,4,4,2,2,2,4,2,4,2,4,8],[3,2,2,2,2,2,4,4,4,4,2,4,2,2,8],[3,4,2,4,4,2,4,2,2,2,2,4,4,4,8],[3,4,4,4,2,2,2,2,4,4,2,2,2,2,8]],"output":[[... | 0 | dataset=solve_deform group=deform_line rotate_0 displacement_1 predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c | |
SIMON-SOLVE-VERSION1, O4T, predict raw pixels | I0
7 6 65a6535,a653535,63636a3,a353536,a636535,3a5a353
O0
7 6 a656535,6563535,63536a3,a363535,6536536,365a353
I1
7 5 36b356,53b636,5635636,56a3656,d365
O1
7 5 36b3a5,5365636,563a636,56a3b6,d356
I2
6 6 365b3,b35a3,b36a3,a35363,636353,a36a53
O2
6 6 365b3,b36a3,b35a3,a36353,636353,a3a563
I3
6 5 3b6a3,a63636,3a5353,635363,... | 5655665
5655665
5666663
6666665 | {"train":[{"input":[[6,5,6,6,5,3,5],[6,6,5,3,5,3,5],[6,3,6,3,6,3,3],[3,3,5,3,5,3,6],[6,6,3,6,5,3,5],[3,5,5,3,3,5,3]],"output":[[6,6,5,6,5,3,5],[6,5,6,3,5,3,5],[6,3,5,3,6,3,3],[3,3,6,3,5,3,5],[6,5,3,6,5,3,6],[3,6,5,3,3,5,3]]},{"input":[[3,6,3,3,3,5,6],[5,3,6,6,6,3,6],[5,6,3,5,6,3,6],[5,6,3,3,6,5,6],[3,3,3,3,3,6,5]],"out... | 0 | dataset=solve_reverse group=reverse_chunks_topbottom predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a | |
Simon-Solve-V1 'O4T' predict the pixels | I0
6 6 a3b97,39c7,39a739,37a9a3,a9a373,a739a7
O0
6 6 a37b9,3c79,3a7939,3a97a3,a9a373,a73a79
I1
4 7 97a3,9797,9,9a79,3,,
O1
4 7 79a3,7979,9,9a79,3,,
I2
7 5 b3b97,a39a393,a3a93a7,a3b7a9,b39a73
O2
7 5 b37b9,a39a393,a3a93a7,a3a9b7,b3a793
I3T
7 7 97973a9,93739a3,39739a3,93b973,a7a3939,a393a97,3a9a393
O3T
None
I4T
6 5 7b379,... | 733397
733399
973339
339373
793339 | {"train":[{"input":[[3,3,9,9,9,7],[3,9,7,7,7,7],[3,9,7,7,3,9],[3,7,9,9,3,3],[9,9,3,3,7,3],[7,7,3,9,7,7]],"output":[[3,3,7,9,9,9],[3,7,7,7,7,9],[3,7,7,9,3,9],[3,9,9,7,3,3],[9,9,3,3,7,3],[7,7,3,7,7,9]]},{"input":[[9,7,3,3],[9,7,9,7],[9,9,9,9],[9,7,7,9],[3,3,3,3],[3,3,3,3],[3,3,3,3]],"output":[[7,9,3,3],[7,9,7,9],[9,9,9,9... | 1 | dataset=solve_reverse group=reverse_chunks_leftright predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a | |
SIMON-SOLVE-VERSION1, 'O4T', predict the pixels | I0
7 10 b91b9,91b9a1,1919191,a9010a9,b91b9,d919,9,b90901,19a1919,a9191a9
O0
7 10 6,,,,,,,e64,a6a4646,a6464a6
I1
9 5 2a65a2532,234c653,52345c2,3c2a529,53a543b5
O1
9 5 6a4e6,b6c4a6,c64c6,d6a4a6,e6b4
I2
9 8 1a4e1,1,a1b02b1,a1980b31,416a3b14,b164a5a4,b149a141,c1941a4
O2
9 8 6,,,,g64,f6a4,f646,f6a4
I3T
16 21 41d41e4a1,c41a4... | 6666666666666666666
6666666666666666666
6666666666666666666
6666666666666666666
6666666666666666666
6666666666664666666
6666666666666446666
6666666666666664446
6666666666666666666
6666666666666666666
6666666666666666666
6666666666666666666
6666666666666666666
6666666666666666666
6666666666666666666
6666666666666666666
... | {"train":[{"input":[[9,9,9,1,9,9,9],[9,1,9,9,9,1,1],[1,9,1,9,1,9,1],[9,9,0,1,0,9,9],[9,9,9,1,9,9,9],[9,9,9,9,9,1,9],[9,9,9,9,9,9,9],[9,9,9,0,9,0,1],[1,9,1,1,9,1,9],[9,9,1,9,1,9,9]],"output":[[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],[6,6,6,6,6,6,4],[... | 1 | dataset=solve_mass group=mass6_all8 predict=rawpixels earlier_prediction=none image_width=medium image_height=large task_pixels=c | |
SIMON-SOLVE-VERSION1, 'O2T', predict the raw pixels | I0
5 15 4,,,,,,,,,,,,b494,4,
O0
5 15 7,,,,,,,,,9c7,79b7,a79a7,b797,c79,7
I1
6 8 4,,,,,,c424,4
O1
6 8 7,,9d7,79c7,a79b7,b79a7,c797,d79
I2T
12 13 4,,,,f43c4,4,,,,,,,f46c4
O2T
None | 777977777777
777797777777
777779777777
777777977777
777777797777
977777779777
797777777977
779777777797
777977777779
777797777777
777779777777
777777977777
777777797777 | {"train":[{"input":[[4,4,4,4,4],[4,4,4,4,4],[4,4,4,4,4],[4,4,4,4,4],[4,4,4,4,4],[4,4,4,4,4],[4,4,4,4,4],[4,4,4,4,4],[4,4,4,4,4],[4,4,4,4,4],[4,4,4,4,4],[4,4,4,4,4],[4,4,4,9,4],[4,4,4,4,4],[4,4,4,4,4]],"output":[[7,7,7,7,7],[7,7,7,7,7],[7,7,7,7,7],[7,7,7,7,7],[7,7,7,7,7],[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=b | |
Simon-Solve-Version1 predict pixels for O5T | I0
12 11 6,,a5a6a3e6,,6,,a4a6a3a6a5a6,,6,,a5a6a5a6a5a6
O0
12 11 6,,c6a3a6a5a6,,6,,a5a6a3a6a4a6,,6,,a5a6a5a6a5a6
I1
20 18 6,,2a6a2a62a62a62a6a2a6,6,,2a6a7a67a67a67a6a2a6,6,,7a6a2a67a67a62a6a7a6,,6,,7a6a7a67a62a62a6a2a6,,6,,2e62a62a62a6a2a6,
O1
20 18 6,,2a6a2a62a62a62a6a2a6,6,,2a6a7a67a67a67a6a2a6,6,,7a6a2a67a67a62a6a7a6... | 66666666666666666666
66666666666666666666
11660660066366066066
66666666666666666666
66666666666666666666
00661661166066266666 | {"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],[5,5,6,6,3,3,6,6,6,6,6,6],[5,5,6,6,3,3,6,6,6,6,6,6],[6,6,6,6,6,6,6,6,6,6,6,6],[6,6,6,6,6,6,6,6,6,6,6,6],[4,4,6,6,3,3,6,6,5,5,6,6],[4,4,6,6,3,3,6,6,5,5,6,6],[6,6,6,6,6,6,6,6,6,6,6,6],[6,6,6,6,6,6,6,6,6,6,6,6],[5,5,6,6,5,5,6,6,5,5,6,6]],"output":[[6,... | 1 | dataset=solve_grid group=mutate_content_inside_grid_flipx predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=d | |
SIMONSOLVEVERSION1 predict pixels for O2T | I0
38 18 4,,d0a4d9a4d6a4c3a4c3a4b9a4,,,,,4,,d3a4d3a4d3a4c3a4c7a4b9a4,,,,4,,d5h4d9a4c9a4c9a4b9a4,4,
O0
3 6 530,439,936,9a3,973,9
I1
16 25 4,,d8a4c7a48a4,,,4,,d8a4c7a48a4,,,,,4,,d2a4c7a45a4,,,,,4,,d0a4c7a48a4,,4,
O1
4 3 02a8,7,85a8
I2T
24 37 4,,e0a4c0a4d3a43a4,,,,4,,e9a4c3a4d0a40a4,,,,,,4,,g4c9a4d8a43a4,,,,4,,e9a4c8a4d3a... | 99490
88930
93803
93303 | {"train":[{"input":[[4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4],[0,0,0,0,0,4,4,9,9,9,9,9,4,4,6,6,6,6,6,4,4,3,3,3,3,4,4,3,3,3,3,4,4,9,9,9,4,4],[0,0,0,0,0,4,4,9,9,9,9,9,4,4,6,6,6,6,6,4,4,3,3,3,3,4,4,3,3,3,3,4,4... | 0 | dataset=solve_grid group=extract_content_from_grid_cw predict=rawpixels earlier_prediction=none image_width=other image_height=other task_pixels=d | |
SIMON-SOLVE-VERSION1 'O2T' predict the raw pixels | I0
9 11 a91e9,9,,,,,,,e92a9,9,
O0
9 11 6b46c4,,d6c4,4,,,c4d6,c46b46,,,c4d6
I1
20 9 e98l9,9,,q989,9,,o92b9,92q9,9
O1
20 9 c46b46j4,c46b46f4c6,c4d6f46b4,o46b4,m4d64,c6i464c6,b46i46b464,,b46i4d64
I2T
7 11 9,,,,,,b95b9,9,,,
O2T
None
I3T
14 12 9,k909,9,,,,,,d90g9,9,f94e9,9
O3T
None | 4444444
4444444
4444444
4444444
4666664
4644464
4644464
4644464
4666664
4444444
4444444 | {"train":[{"input":[[9,9,1,9,9,9,9,9,9],[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],[9,9,9,9,9,9,9,9,9],[9,9,9,9,9,9,2,9,9],[9,9,9,9,9,9,9,9,9],[9,9,9,9,9,9,9,9,9]],"output":[[6,4,4,4,6,4,4,4,4],[6,4,4,4,6,4,4,4,4],[6,6,6,6,6,4,4,4,4],[4,4,4,4,... | 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 O4T | I0
6 10 0b505,57c5,a52527,0a5254,c540,57a4a5,040505,4757a0,505207,0a50a2
O0
6 10 1,b10a1,1,,,,,,,
I1
10 6 3,e3a4a3,b3b4c3,a31f3,,31g3
O1
10 6 1,1a0f1,10e101,e1b01,c1d01,1
I2
6 9 8,,,c8a3,8b3a8,8,,,
O2
6 9 1,1c01,1b0a1,1,,c101,1c01,,1
I3
11 9 9,e96c9,,d96d9,,d961c9,d9628b9,9d5a92a9,b9a49c59
O3
11 9 1,1c0b1a01,,1b0b1b01,... | 111111111
111000001
111000001
110000001
111111111 | {"train":[{"input":[[0,5,5,5,0,5],[5,7,5,5,5,5],[5,5,2,5,2,7],[0,5,5,2,5,4],[5,5,5,5,4,0],[5,7,4,4,5,5],[0,4,0,5,0,5],[4,7,5,7,0,0],[5,0,5,2,0,7],[0,5,5,0,2,2]],"output":[[1,1,1,1,1,1],[1,1,1,0,1,1],[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]]},{"input... | 0 | dataset=solve_erosion group=erosion nearest4 predict=rawpixels earlier_prediction=none image_width=medium image_height=small task_pixels=b | |
SIMON-SOLVE-V1, O3T, predict pixels | I0
22 12 9,,,,t95,r9a59,p985b9,l9d7c9,g9c07983e9,k9c0c3a9,s9a3,9
O0
12 22 9,,,,,,,,b90g9,,,,a907g9,a9097f9,a9087f9,a9037f9,a9397f9,a93978e9,a93a95e9,a93b95d9,93c95d9,93d95c9
I1
12 29 15a2a51a2152,b2a12512152,a25271a2c1,c2b1b212,a1a2b17b15,5a212a17a121,121b2125a21,a217272a1271,272d157a2,7a2121252172,17d212717,d2a121a25,... | 22222222222222222222222222
22222222222222222222222222
22222222222222222222222222
22222222222222222222222222
22222222222222222222222222
22222222222222222222222222
22247222222222222222222222
22224472222222222255222222
22222247772222225529222222
22222224217722552292222222
22222222442277222292222222
22222222154222222292222... | {"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],[9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9],[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],[9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,5,5,9],[9,9,9,9,9,9,9,9,9,9,9,9... | 0 | dataset=solve_rotate group=rotate_cw predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=d | |
Simon-Solve-V1 predict pixels for O4T | I0
19 8 a9349b484a94d94,b939j8b9,a9a3b9a394a9498b9,b94b359a39c4349,949349f3984849,c94b9b4c3c9,9b4349a4a94a9b349,4c94b8b9a4a98a3
O0
19 8 0,c049b404a94a9b0,a0a934h898a0,b03c93894a989890,0909a3a9598a9a48434,a04034d38b98484,0c934a9a4b3c98,a0b4349c439b394
I1
8 10 9,,,b9698a9,b9b6a9,a9696849,c96829,b96a892,b9c42,9
O1
8 10 0,... | 00000000000
02020026002
00448208220
00044842866
04202246626
00822826422
00224662642
00846466822
08254626468
02255848626
04454242224
02545662884 | {"train":[{"input":[[9,9,3,4,9,4,4,4,8,4,9,9,4,9,9,9,9,9,4],[9,9,9,3,9,8,8,8,8,8,8,8,8,8,8,8,9,9,9],[9,9,3,3,9,9,9,3,3,9,4,9,9,4,9,8,9,9,9],[9,9,9,4,3,3,3,5,9,3,3,9,4,4,4,4,3,4,9],[9,4,9,3,4,9,3,3,3,3,3,3,3,9,8,4,8,4,9],[9,9,9,9,4,9,9,9,4,4,4,3,3,3,3,9,9,9,9],[9,4,4,4,3,4,9,4,4,9,9,4,9,9,3,3,3,4,9],[4,9,9,9,9,4,8,8,8,9... | 0 | dataset=solve_probecolor group=probecolor_topleft predict=rawpixels earlier_prediction=none image_width=medium image_height=large task_pixels=d | |
simon-solve-version1, O4T, predict pixels | I0
4 6 b06,a610,6b1,,6010,0606
O0
4 6 6b0,a610,6b1,,0610,6060
I1
5 7 10b1,16060,a0601,1,a61a0,616a1,0a161
O1
5 7 10b1,10606,06a01,1,a61a0,616a1,0a161
I2
7 6 d161,d061,a610106,a101a01,60a10a1,a0a10a1
O2
7 6 d161,6d01,a610160,a101a01,06a10a1,a0a10a1
I3T
6 7 1a0a60,6,0601a0,606b1,,6a0a60,a06060
O3T
None
I4T
7 7 0a6a1a0,6c... | 6601100
6111160
1111110
6600116
6600666
6160606
0011100 | {"train":[{"input":[[0,0,0,6],[6,6,1,0],[6,1,1,1],[6,1,1,1],[6,0,1,0],[0,6,0,6]],"output":[[6,0,0,0],[6,6,1,0],[6,1,1,1],[6,1,1,1],[0,6,1,0],[6,0,6,0]]},{"input":[[1,0,1,1,1],[1,6,0,6,0],[0,0,6,0,1],[1,1,1,1,1],[6,6,1,0,0],[6,1,6,1,1],[0,1,1,6,1]],"output":[[1,0,1,1,1],[1,0,6,0,6],[0,6,0,0,1],[1,1,1,1,1],[6,6,1,0,0],[6... | 1 | dataset=solve_reverse group=reverse_chunks_leftright predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a | |
simonsolveversion1 predict raw pixels for 'O4T' | I0
13 5 8,,,k86,j868
O0
13 5 6,,,k68,j686
I1
13 9 428289f2,24a82a9d26,a24b2928c2,a284a2a98a262,b284829a8268,c264289a262,b282642916a2,28c264216a2,e2861c2
O1
13 9 418189f1,14a81a9d16,a14b1918c1,a184a1a98a161,b184819a8168,c164189a161,b181641926a1,18c164126a1,e1862c1
I2
14 14 01a010171a7b1,7b0c7b01a0,a0a1a5717b010,17a1a015... | 477477777
777757277
277754772
757557277
772747727
777757757
775777777
777775277
772757777
777557777
475757777
577575477
775775747
757477557
751757777
712777777
577574755
475574777 | {"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],[8,8,8,8,8,8,8,8,8,8,8,8,6],[8,8,8,8,8,8,8,8,8,8,8,6,8]],"output":[[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],[6,6,6,6,6,6,6,6,6,6,6,8,6]]},{"input... | 0 | dataset=solve_color group=swap_most_and_least_popular_colors predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c | |
Simon-Solve-Version1 predict raw pixels for 'O4T' | I0
16 6 56b5a2h5,565a27b256d5,6b52745e2a5,b565724565a25a6,656a5754c5b25,6b567a545625652
O0
1 2 5,4
I1
8 4 583b238,35a35b3,835a3636,638a3638
O1
1 2 3,2
I2
7 17 3643a64,c6a46,64d6,6264a64,432a646,64269a6,6432464,a672484,6a4a284,b628a3,a426864,3628a64,6248b6,6283a64,6984a64,4943b6,69d6
O2
1 2 6,7
I3
21 10 245a4a03e0a450b4... | 9
0 | {"train":[{"input":[[5,6,5,5,5,2,2,5,5,5,5,5,5,5,5,5],[5,6,5,2,2,7,2,2,2,5,6,5,5,5,5,5],[6,5,5,5,2,7,4,5,2,2,2,2,2,2,5,5],[5,5,5,6,5,7,2,4,5,6,5,2,2,5,6,6],[6,5,6,5,5,7,5,4,5,5,5,5,2,2,2,5],[6,5,5,5,6,7,5,5,4,5,6,2,5,6,5,2]],"output":[[5],[4]]},{"input":[[5,8,3,2,2,2,3,8],[3,5,3,3,5,3,3,3],[8,3,5,3,3,6,3,6],[6,3,8,3,3,... | 0 | dataset=solve_color group=identify_most_and_least_popular_colors rotate_3 predict=rawpixels earlier_prediction=none image_width=large image_height=medium task_pixels=b | |
simonsolvev1 predict pixels for O4T | I0
23 23 1b616a16a1c623616263,62a6a1d621a6a1b6432,c62312a3a6a2a16a164a6,36363a616a3621b26a4162,1632a1a6162a126b4a6163,12a616161261b41c61a6,a2c6326b4616263a1362,63b62b41a631616321362,631b4161a616a16a12c1,634313612b6a1c621326,636a16a1631b61616b1a6,63a62123b63b6262b126,6362a612632a6a2163a1a21,3132a63a61a6313a6131623,16312... | 588
580
555
500
544
554
555 | {"train":[{"input":[[1,6,6,6,1,6,1,1,6,1,1,6,6,6,6,2,3,6,1,6,2,6,3],[6,2,6,6,1,1,6,6,6,6,6,2,1,6,6,1,1,6,6,6,4,3,2],[6,6,6,6,2,3,1,2,3,3,6,6,2,2,1,1,6,1,1,6,4,6,6],[3,6,3,6,3,6,6,1,6,3,3,6,2,1,2,2,2,6,4,4,1,6,2],[1,6,3,2,1,1,6,6,1,6,2,1,1,2,6,4,4,4,6,6,1,6,3],[1,2,6,6,1,6,1,6,1,2,6,1,4,4,4,1,6,6,6,6,1,6,6],[2,2,6,6,6,6... | 1 | dataset=solve_probecolor group=probecolor_left predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=c | |
SIMONSOLVEVERSION1, O2T, predict pixels | I0
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I1
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O1
3 4 7,a78,787,7
I2T
12 6 j89,h8a98,g89b8,e8a9c8,d89e8,8
O2T
None | 888889
888898
888988
889888
898888
888888 | {"train":[{"input":[[1,8,1,1,1,4,4,4],[1,4,4,1,9,2,2,2],[1,4,6,9,3,1,1,1],[1,1,6,4,4,1,1,4]],"output":[[1,8,1,1,1,4,4],[1,4,4,1,9,2,2],[1,4,6,9,3,1,1],[1,1,6,4,4,1,4]]},{"input":[[7,7,7,7],[7,7,7,8],[7,8,8,7],[7,7,7,7],[7,7,7,7]],"output":[[7,7,7],[7,7,8],[7,8,7],[7,7,7]]}],"test":[{"input":[[8,8,8,8,8,8,8,8,8,8,8,9],[... | 0 | dataset=solve_compress group=compressxy predict=rawpixels earlier_prediction=none image_width=medium image_height=small task_pixels=a | |
simon-solve-version1, 'O4T', predict the pixels | I0
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O0
6 9 b3b8,,,3,,,8,,
I1
36 36 c8g3w8,,,,c3z8d8,,,,c8g3w8,,,,o8g3c8g3,,,,k8c3g8c3g8,,,,o8g3c8g3,,,,c8g3w8,,,,c3z8d8,,,,c8g3w8,,,
O1
9 9 b8e3,,,b3e8,,,b8e3,,
I2
36 36 c8c3s8c3c8,,,,c8g3o8g3,,,,c3c8c3k8c3c8c3,,,,c8c3z88,,,,c8g3w8,,,,c3c8c3w8,,,,o8c3o8,,,,o... | 888333888
888333888
888333888
888333888
888333888
888333888
333333333
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333333333 | {"train":[{"input":[[8,8,8,8,8,8,8,8,3,3,3,3,8,8,8,8],[8,8,8,8,8,8,8,8,3,3,3,3,8,8,8,8],[8,8,8,8,8,8,8,8,3,3,3,3,8,8,8,8],[8,8,8,8,8,8,8,8,3,3,3,3,8,8,8,8],[8,8,8,8,8,8,8,8,3,3,3,3,3,3,3,3],[8,8,8,8,8,8,8,8,3,3,3,3,3,3,3,3],[8,8,8,8,8,8,8,8,3,3,3,3,3,3,3,3],[8,8,8,8,8,8,8,8,3,3,3,3,3,3,3,3],[8,8,8,8,8,8,8,8,8,8,8,8,8,8... | 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 'O4T' predict the pixels | I0
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I1
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O1
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I2
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O2
2 3 8,68,8
I3
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O3
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I4T
11 4 h6a7,e6a37a6,a6c3a65a6,b7b3a5b6
O4T
None
I5T
4 12 8,,,b82,,a828,,,8284... | 666667
666376
633656
773566 | {"train":[{"input":[[9,9,9,9,9,0,9],[9,9,9,9,9,0,9],[5,9,9,9,9,0,9],[9,5,2,9,0,2,9],[9,9,2,2,2,2,9],[9,3,3,9,8,2,9],[9,9,9,9,9,8,8]],"output":[[9,9,9,9,9,0,9],[5,9,9,9,9,0,9],[9,5,2,9,0,2,9],[9,9,2,2,2,2,9],[9,3,3,9,8,2,9],[9,9,9,9,9,8,8]]},{"input":[[9,9,1,1,1,1,1,1,9,1,1],[4,4,9,1,1,1,1,1,1,1,1]],"output":[[9,1,1,9,1... | 0 | dataset=solve_compress group=compressxy predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=a | |
simonsolveversion1, 'O4T', predict the raw pixels | I0
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O0
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I1
4 12 0,,,,04a0,0,b04,0,04a0,4b0,a4a0,0
O1
18 3 a64a64a64a64a64a64,a48a48a48a48a48a48,827827827827827827
I2
7 10 0,,a0404a0,0,,,e04,0,,
O2
9 3 a64a64a64,a48a48a48,827827827
I3
4 8 0,,,,,,,4b0
O3
3 3 a64,a48,827
I4T
11 11 e04c0,0,,,e04c0,f04b0,0,,c0a4d0,c0... | 664664664664664664
448448448448448448
827827827827827827 | {"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],[0,0,0,0,4],[0,0,4,0,0],[0,0,4,0,0],[0,0,0,0,0]],"output":[[6,6,4,6,6,4,6,6,4],[4,4,8,4,4,8,4,4,8],[8,2,7,8,2,7,8,2,7]]},{"input":[[0,0,0,0],[0,0,0,0],[0,0,0,0],[0,0,0,0],[0,4,0,0],[0,0,0,0],[0,0,0,4],[0,0,0,0],[0,4,0,0],[4,0,0,0],[4,4,0,0]... | 0 | dataset=solve_count group=count_pixels_and_repeat_output_pattern repeat_x predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b |
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.
Version 180
Generated data.
Version 181
Generated data.
Version 182
Generated data.
Version 183
Generated data.
Version 184
Generated data.
Version 185
Generated data.
Version 186
Generated data.
Version 187
Generated data.
Version 188
Generated data.
Version 189
Added DatasetSolveDeform dataset generator.
Version 190
Generated data.
Version 191
Generated data.
Version 192
Generated data.
Version 193
Generated data.
Version 194
Generated data.
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