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Datasets:
neoneye
/
simon-arc-combine-v207

Tasks:
Image-to-Text
Text-to-Image
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json
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1K - 10K
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instruction
stringclasses
400 values
input
stringlengths
107
1.84k
output
stringlengths
1
271
arc_task
stringlengths
281
5.38k
test_index
int64
0
1
earlier_output
stringclasses
1 value
benchmark
stringclasses
384 values
SIMONSOLVEV1, O2T, predict raw pixels
I0 11 14 6,6b3f6,,,6b363d6,d63d6,f69b6,d6060b6,6,,,,, O0 11 14 6,63h6,,b69f6,60606b3b6,d6b3b6,,,6,,,,, I1 14 9 6,,e6a9a4c6,e65904c6,e65a07c6,6,f6c3b6,, O1 14 9 6,,e6c3c6,,,6,f6a9a4b6,f65904b6,f65a07b6 I2T 12 16 6,,b3h6,,,6,f6b3a6,b65a36b3a6,b65416b3a6,b6a41e6,6,,,,, O2T None
666666666666 666666666666 533666666666 541666666666 441666666666 666666666666 666666653366 666333654166 666333644166 666333666666 666666666666 666666666666 666666666666 666666666666 666666666666 666666666666
{"train":[{"input":[[6,6,6,6,6,6,6,6,6,6,6],[6,3,3,3,6,6,6,6,6,6,6],[6,3,3,3,6,6,6,6,6,6,6],[6,3,3,3,6,6,6,6,6,6,6],[6,3,3,3,6,3,6,6,6,6,6],[6,6,6,6,6,3,6,6,6,6,6],[6,6,6,6,6,6,6,9,6,6,6],[6,6,6,6,6,0,6,0,6,6,6],[6,6,6,6,6,6,6,6,6,6,6],[6,6,6,6,6,6,6,6,6,6,6],[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_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 'O4T'
I0 14 14 3l9,91k9,a91j9,b91i9,c91h9,d91g9,e91f9,f91e9,g91d9,h91c9,i91b9,j91a9,k949,l90 O0 14 1 3j140 I1 10 15 7h9,67g9,747f9,a718e9,68417d9,8a28a7c9,9724176b9,a9672168a9,b97401379,c9867678,d980687,e98037,f9762,g907,h97 O1 10 6 b78a76878,64a1a763a7,a748b1687,7824207632,6a2746a067,8767b8707 I2 2 4 9,85,75,95 O2 2 3 95,85...
7337777
{"train":[{"input":[[3,9,9,9,9,9,9,9,9,9,9,9,9,9],[9,1,9,9,9,9,9,9,9,9,9,9,9,9],[9,9,1,9,9,9,9,9,9,9,9,9,9,9],[9,9,9,1,9,9,9,9,9,9,9,9,9,9],[9,9,9,9,1,9,9,9,9,9,9,9,9,9],[9,9,9,9,9,1,9,9,9,9,9,9,9,9],[9,9,9,9,9,9,1,9,9,9,9,9,9,9],[9,9,9,9,9,9,9,1,9,9,9,9,9,9],[9,9,9,9,9,9,9,9,1,9,9,9,9,9],[9,9,9,9,9,9,9,9,9,1,9,9,9,9],...
1
dataset=solve_skew group=unskew_down predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b
Simon-Solve-V1, 'O3T', predict the pixels
I0 13 10 c9b1e9,,9,,,,,c9727e9,c9127e9,9 O0 13 10 c9727e9,c9127e9,9,,,,,c9b1e9,,9 I1 10 7 9,,c90a9a19,,a1a9a09a19,a1g9, O1 10 7 9,,c9a190a9,,0b9a19a09,0h9,a0g9 I2 7 10 b19b1,,,9,9575b9,91a5b9,95a1b9,9,, O2 7 10 5759575,1a591a5,5a195a1,9,9b1b9,,,9,, I3T 10 11 9,,f9806,f9a03,f90a6,9,e9b19,,a9b19b19,a9b1d9, O3T None I4T 1...
9999999999 9999999999 9999999111 9999999111 9999999111 9999999999 9999998069 9999990039 9980690669 9900399999 9906699999
{"train":[{"input":[[9,9,9,9,1,1,1,9,9,9,9,9,9],[9,9,9,9,1,1,1,9,9,9,9,9,9],[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],[9,9,9,9,7,2,7,9,9,9,9,9,9],[9,9,9,9,1,2,7,9,9,9,9,9,9],[9,9,9,9,9,9,9,9,9,9,9,9,9]],"output":[[9,9,9,9,...
0
dataset=solve_template group=template swap_one_to_many predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
simonsolvev1, O2T, predict raw pixels
I0 2 13 25,26,27,,,62,32,02,,,5,57,5 O0 14 13 k925,j9269,i927a9,h927b9,g927c9,f962d9,e932e9,d902f9,c902g9,b902h9,a9a5i9,957j9,a5k9 I1 1 4 0,,5, O1 4 4 b90,a909,95a9,5b9 I2T 9 6 b0c202,a2b020a2,02b02b0,20f2,b0c202,2d1b2 O2T None
99999000222202 99992200020229 99902000200099 99202222222999 90002222029999 21111122299999
{"train":[{"input":[[2,5],[2,6],[2,7],[2,7],[2,7],[6,2],[3,2],[0,2],[0,2],[0,2],[5,5],[5,7],[5,5]],"output":[[9,9,9,9,9,9,9,9,9,9,9,9,2,5],[9,9,9,9,9,9,9,9,9,9,9,2,6,9],[9,9,9,9,9,9,9,9,9,9,2,7,9,9],[9,9,9,9,9,9,9,9,9,2,7,9,9,9],[9,9,9,9,9,9,9,9,2,7,9,9,9,9],[9,9,9,9,9,9,9,6,2,9,9,9,9,9],[9,9,9,9,9,9,3,2,9,9,9,9,9,9],[...
0
dataset=solve_skew group=skew_left predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=a
SIMON-SOLVE-V1 predict pixels for 'O4T'
I0 14 11 e02f0,,,,d802f0,78a7802f0,7c802f0,a87a802f0,b8a702f0,e02f0, O0 14 11 e02f0,,,,e02d8a0,e0278a78a0,e027c8a0,e02a87a8a0,e02b8a7a0,e02f0, I1 14 8 b787a02e0,b878a02e0,8b78a02e0,d8a02e0,f02e0,,, O1 14 8 f02b7870,f02b8780,f028b780,f02d80,f02e0,,, I2 14 6 e02f0,c8a02f0,8787a02f0,8b7a02f0,b87a02f0,e02f0 O2 14 6 e02f0,e...
0000002887000 0000002878000 0000002888000 0000002887000 0000002000000 0000002000000 0000002000000
{"train":[{"input":[[0,0,0,0,0,0,2,0,0,0,0,0,0,0],[0,0,0,0,0,0,2,0,0,0,0,0,0,0],[0,0,0,0,0,0,2,0,0,0,0,0,0,0],[0,0,0,0,0,0,2,0,0,0,0,0,0,0],[8,8,8,8,8,0,2,0,0,0,0,0,0,0],[7,8,7,7,8,0,2,0,0,0,0,0,0,0],[7,8,8,8,8,0,2,0,0,0,0,0,0,0],[8,8,7,8,8,0,2,0,0,0,0,0,0,0],[8,8,8,7,7,0,2,0,0,0,0,0,0,0],[0,0,0,0,0,0,2,0,0,0,0,0,0,0],...
0
dataset=solve_mirror group=mirror a_left b_left rotate_0 predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
SIMONSOLVEV1 'O4T' predict the pixels
I0 15 16 416747c4b617,a4a61b4647b41,a4076i4,b47464161461a4,b407464a74a1a4,c471674747a47,1b407a47a64a64,9b407c5b6a4,696a40a414d5,a49a4071a47a474,b49460g4,b49840a7a41a42,7b49a4041c42,a64189a464b712,47a6869e412,e46e464 O0 15 16 f9a1a91b9,e91d91a9,e9g19,91l9,,9a1k9,a91k9,a91c9a1a91b9,j9b19,9,91e9e19,91l9,a91g9a1a9,j91b9,g9...
919999999 999919919 999999999 999999999 999999999 999999999 999999999 999999999 919999999 999919999 999999919 999919999
{"train":[{"input":[[4,1,6,7,4,7,4,4,4,4,6,6,6,1,7],[4,4,6,6,1,4,4,4,6,4,7,4,4,4,1],[4,4,0,7,6,4,4,4,4,4,4,4,4,4,4],[4,4,4,7,4,6,4,1,6,1,4,6,1,4,4],[4,4,4,0,7,4,6,4,7,7,4,1,1,4,4],[4,4,4,4,7,1,6,7,4,7,4,7,4,4,7],[1,4,4,4,0,7,4,4,7,6,6,4,6,6,4],[9,4,4,4,0,7,5,5,5,5,6,6,6,4,4],[6,9,6,4,4,0,4,4,1,4,5,5,5,5,5],[4,4,9,4,4,0...
0
dataset=solve_erosion group=erosion lr2 predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
simon-solve-version1, 'O3T', predict the raw pixels
I0 6 15 94b94,b49a4,a9a494,a949a4,b49a4,49a494,4,9c49,a49494,d94,4a9b4,a9c4,949b4,4b949,9b4a9 O0 6 15 59b59,b95a9,a5a959,a595a9,b95a9,95a959,9,5c95,a95959,d59,9a5b9,a5c9,595b9,9b595,5b9a5 I1 11 16 e4a0b4,0c4040b4,h404,c40a40b4,4,0b40a404a0,h404,a404a040404,b40f4,a404040c4,c40a40b4,40d40b4,b4040d4,0f4040,b40d404,a40g4 O...
757 577 775 775 777 775
{"train":[{"input":[[9,4,9,9,9,4],[4,4,4,9,4,4],[9,9,4,4,9,4],[9,9,4,9,4,4],[4,4,4,9,4,4],[4,9,4,4,9,4],[4,4,4,4,4,4],[9,4,4,4,4,9],[4,4,9,4,9,4],[9,9,9,9,9,4],[4,9,9,4,4,4],[9,9,4,4,4,4],[9,4,9,4,4,4],[4,9,9,9,4,9],[9,4,4,4,9,9]],"output":[[5,9,5,5,5,9],[9,9,9,5,9,9],[5,5,9,9,5,9],[5,5,9,5,9,9],[9,9,9,5,9,9],[9,5,9,9,...
1
dataset=solve_color group=replace_color_different_palettes no_padding palette_b predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b
simonsolvev1 'O3T' predict the raw pixels
I0 15 13 9,d20d20b2,a0a20a202020202,a2a0a2a02a02a02,20a2020e202,b2a0202b0a202,2a0b20b2a0202,a202a0a20c202,2020a2c020202,f20b2a0a2,g0a20a202,d20h2,9b7979a7c979 O0 15 13 9b2909a2c929,20d20b20202,02b0a202020202,20c20a2a02a02,b2a02020c202,2a02020a2a0a202,a20a2a0202a0202,202a0a2a0c202,e2a02020b2,2b02020b2b02,0b2b0b20c2,2b92...
929922999299 202220202220 222020220202 220022000202 292299222922 979977999799
{"train":[{"input":[[9,9,9,9,9,9,9,9,9,9,9,9,9,9,9],[2,2,2,2,2,0,2,2,2,2,2,0,2,2,2],[0,0,2,2,0,2,2,0,2,0,2,0,2,0,2],[2,2,0,0,2,2,0,0,2,0,0,2,0,0,2],[2,0,2,2,0,2,0,2,2,2,2,2,2,0,2],[2,2,2,0,0,2,0,2,0,0,0,2,2,0,2],[2,0,0,2,2,2,0,2,2,2,0,0,2,0,2],[2,2,0,2,0,0,2,2,0,2,2,2,2,0,2],[2,0,2,0,2,2,0,0,0,0,2,0,2,0,2],[2,2,2,2,2,2...
0
dataset=solve_deform group=deform_line rotate_1 displacement_-1 predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
simon-solve-v1 'O4T' predict the raw pixels
I0 14 9 e52f5,e528a9a8a5,e5298b9a5,e52b989a5,e52f5,,,, O0 14 9 e52f5,58a9a82f5,598b92f5,5b9892f5,e52f5,,,, I1 13 14 e52e5,,,,,,,e52a8b95,e52b9a85,e529a8a95,e52d95,e52e5,, O1 13 14 e52e5,,,,,,,5a8b92e5,5b9a82e5,59a8a92e5,5d92e5,e52e5,, I2 13 13 e52e5,,,,,,,e528a9b5,e52a89b5,e52989b5,,e528a9b5,e52e5 O2 13 13 e52e5,,,,,,,...
555555525555555 555555525555555 559899825555555 559898825555555 559999825555555 559888925555555 559999925555555 559989925555555 555555525555555
{"train":[{"input":[[5,5,5,5,5,5,2,5,5,5,5,5,5,5],[5,5,5,5,5,5,2,8,9,9,8,8,5,5],[5,5,5,5,5,5,2,9,8,9,9,9,5,5],[5,5,5,5,5,5,2,9,9,9,8,9,5,5],[5,5,5,5,5,5,2,5,5,5,5,5,5,5],[5,5,5,5,5,5,2,5,5,5,5,5,5,5],[5,5,5,5,5,5,2,5,5,5,5,5,5,5],[5,5,5,5,5,5,2,5,5,5,5,5,5,5],[5,5,5,5,5,5,2,5,5,5,5,5,5,5]],"output":[[5,5,5,5,5,5,2,5,5,...
0
dataset=solve_mirror group=mirror a_right b_left rotate_2 predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
SIMONSOLVEV1 predict pixels for O4T
I0 15 11 i3b434,h343a4a3,g3c4b3,f3a434c3,g34e3,d343a4e3,c34a34f3,c34i3,a3a4a34g3,c3a4h3,a3a4j3 O0 5 11 b434,43a43,c43,a4343,a34a3,43a43,4a343,34b3,a4a34,b3a4,a3a43 I1 15 15 m30,l393,k39a3,j39b3,i39c3,h39d3,g39e3,f39f3,e39g3,d39h3,c39i3,b39j3,a39k3,39l3,0m3 O1 1 15 0,9,,,,,,,,,,,,,0 I2 7 6 d397,c3973,c39a3,b37b3,a34c3,8...
227777444 772244777
{"train":[{"input":[[3,3,3,3,3,3,3,3,3,3,4,4,4,3,4],[3,3,3,3,3,3,3,3,3,4,3,4,4,3,3],[3,3,3,3,3,3,3,3,4,4,4,4,3,3,3],[3,3,3,3,3,3,3,4,4,3,4,3,3,3,3],[3,3,3,3,3,3,3,3,4,3,3,3,3,3,3],[3,3,3,3,3,4,3,4,4,3,3,3,3,3,3],[3,3,3,3,4,3,3,4,3,3,3,3,3,3,3],[3,3,3,3,4,3,3,3,3,3,3,3,3,3,3],[3,3,4,4,3,3,4,3,3,3,3,3,3,3,3],[3,3,3,3,4,4...
0
dataset=solve_skew group=unskew_left predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b
SIMONSOLVEVERSION1, O3T, predict pixels
I0 8 14 1,1b9c1,,1b91b8,1b91848,d14a8,b9a1278,b9d1,,,1,,, O0 8 14 1,1b8c1,1848c1,14a81b9,12781b9,d1b9,b8a1b9,848d1,4a8d1,278d1,1,,, I1 14 13 e1c9c1,,1,,,,,,,,,21a2i1,b28i1 O1 14 13 e121a2c1,e1b28c1,1,,,,,,,,,c9i1, I2T 13 15 d146e1,e16e1,d18f1,1a9a14f1,1a9i1,,1a9f1a91,i1a91,,,1,,,, O2T None I3T 15 16 1,f1c9c1,,1,,f10b4c...
111111111111111 111111104441111 111111104841111 111111111111111 111111111111111 111111199991111 111111199991111 111111111111111 111111111111111 111111111111111 111110444111111 111110484111111 111111111111111 111111111111111 111111111111111 111111111111111
{"train":[{"input":[[1,1,1,1,1,1,1,1],[1,9,9,9,1,1,1,1],[1,9,9,9,1,1,1,1],[1,9,9,9,1,8,8,8],[1,9,9,9,1,8,4,8],[1,1,1,1,1,4,8,8],[9,9,9,1,1,2,7,8],[9,9,9,1,1,1,1,1],[9,9,9,1,1,1,1,1],[9,9,9,1,1,1,1,1],[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":[[1,1,1,1,1,1,1,1],[1,8,8,8,1,1,1,1],[...
1
dataset=solve_template group=template swap_one_to_many predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
SIMONSOLVEV1, O4T, predict pixels
I0 14 12 e31f3,,,,1a5b31f3,a15b31f3,b5b31f3,e31f3,,,, O0 14 12 e31f3,,,,e31c31a5,e31c3a15,e31c3b5,e31f3,,,, I1 15 11 f31f3,,,,,,,,b51a531f3,515a1531f3,1d531f3 O1 15 11 f31f3,,,,,,,,f313b51a5,f313515a15,f3131d5 I2 15 8 f31f3,,d5a31f3,5b15a31f3,d5a31f3,b151a31f3,d5a31f3,f31f3 O2 15 8 f31f3,,f31a3d5,f31a35b15,f31a3d5,f31a...
33333331333333 33333331333333 33333331333333 33333331333333 33333331333333 33333331333333 33333331333333 33333331333333 33333331333333 33333331333333 33333331355151 33333331351151 33333331355555 33333331333333
{"train":[{"input":[[3,3,3,3,3,3,1,3,3,3,3,3,3,3],[3,3,3,3,3,3,1,3,3,3,3,3,3,3],[3,3,3,3,3,3,1,3,3,3,3,3,3,3],[3,3,3,3,3,3,1,3,3,3,3,3,3,3],[1,5,5,3,3,3,1,3,3,3,3,3,3,3],[1,1,5,3,3,3,1,3,3,3,3,3,3,3],[5,5,5,3,3,3,1,3,3,3,3,3,3,3],[3,3,3,3,3,3,1,3,3,3,3,3,3,3],[3,3,3,3,3,3,1,3,3,3,3,3,3,3],[3,3,3,3,3,3,1,3,3,3,3,3,3,3],...
1
dataset=solve_mirror group=mirror a_left b_right rotate_0 predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
simonsolveversion1, 'O2T', predict the pixels
I0 10 9 1,e10b1,d1a0b1,a1a8a14b1,a1a8e1,,1,, O0 10 9 1,,,b10e1,a1a0e1,b14e1,1,, I1 10 16 1,,a135e1,,a102e1,a1a7e1,1,,,,,,f1a81,,, O1 10 16 1,,,,,,,,,,,,f1351,,f1021,f1a71 I2T 16 15 1,,a146a5i1,a16546i1,1,,,,,,i1c8a1,,1,, O2T None
1111111111111111 1111111111111111 1111111111111111 1111111111111111 1111111111111111 1111111111111111 1111111111111111 1111111111111111 1111111111111111 1111111111111111 1111111111465511 1111111111654611 1111111111111111 1111111111111111 1111111111111111
{"train":[{"input":[[1,1,1,1,1,1,1,1,1,1],[1,1,1,1,1,1,0,1,1,1],[1,1,1,1,1,0,0,1,1,1],[1,1,8,8,1,1,4,1,1,1],[1,1,8,8,1,1,1,1,1,1],[1,1,8,8,1,1,1,1,1,1],[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":[[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],[1,1,1,0,1,1,1,1,1,1],[1,...
0
dataset=solve_template group=template without_insertion_image predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b
simonsolvev1 predict raw pixels for 'O2T'
I0 11 11 7,,a7b8e7,,a7b8a70a37,a7b8a74347,f74a37,f7b47,7,, O0 11 11 7,,a70a3e7,a7434e7,a74a3a7b87,a7b4a7b87,f7b87,,7,, I1 16 9 7,,,e7b8f7,e7b8b7b87,a70a2f7b87,a7a01j7,7, O1 16 9 7,,,e70a2f7,e7a01b70a27,a7b8f7a017,a7b8j7,7, I2T 9 13 7,,f747,f745,f735,f736,7,,,c7a8b7,,, O2T None I3T 9 12 e7528,e7323,e7298,7,,,7b8d7,,,7,,...
777777777 777777777 777777788 777777788 777777788 777777788 777777777 777777777 777777777 777747777 777745777 777735777 777736777
{"train":[{"input":[[7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7,7,7],[7,7,8,8,8,7,7,7,7,7,7],[7,7,8,8,8,7,7,7,7,7,7],[7,7,8,8,8,7,7,0,3,3,7],[7,7,8,8,8,7,7,4,3,4,7],[7,7,7,7,7,7,7,4,3,3,7],[7,7,7,7,7,7,7,4,4,4,7],[7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7,7,7]],"output":[[7,7,7,7,7,7,7,7,7,7,7],[...
0
dataset=solve_template group=template swap_one_to_many predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b
Simon-Solve-Version1 predict pixels for O3T
I0 4 8 5,,51a5,a585,3585,5358,5938,a594 O0 4 8 1,1a71,a171,1,17a1,,1, I1 8 5 956a5b3,596c35,5a46a595,6c34a5,b39a565 O1 8 5 1,,,e171,1 I2 5 16 10252,02020,b0a2,0b25,10b2,a0212,a09a0,a0901,a29a0,509a0,b090,a2092,b090,,52092,c02 O2 5 16 1,b171,1,,b171,1,,,,,,,,17b1,a17a1,1 I3T 16 9 3a453b434345354,48a4134354543b4,a4a853b0...
1111111111111111 1111111111111111 1711111117111111 1171711111111111 1117111111711111 1111171117111111 1111111711711171 1111777171711111 1111111111111111
{"train":[{"input":[[5,5,5,5],[5,5,5,5],[5,1,5,5],[5,5,8,5],[3,5,8,5],[5,3,5,8],[5,9,3,8],[5,5,9,4]],"output":[[1,1,1,1],[1,7,7,1],[1,1,7,1],[1,1,1,1],[1,7,1,1],[1,7,1,1],[1,1,1,1],[1,1,1,1]]},{"input":[[9,5,6,5,5,3,3,3],[5,9,6,3,3,3,3,5],[5,4,4,6,5,5,9,5],[6,3,3,3,3,4,5,5],[3,3,3,9,5,5,6,5]],"output":[[1,1,1,1,1,1,1,1...
0
dataset=solve_erosion group=erosion tlbr2 predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b
simon-solve-version1 'O3T' predict the pixels
I0 5 8 41b3,3,14343,a4371,13943,34b3,,14a31 O0 5 8 b707,7b07,7,,,b707,,7 I1 8 12 8,42b0b8,82a80b8,,828a0b8,,,82a80b8,,,d84a8, O1 8 12 7e07,b70a707,e707,,,,,,,,7b0c7, I2 12 15 6565a65a6a56,69g146,694a54e5,5956f54,596a56b56a5,59a6a54b545,596e54a5,49465656c5,69546f5,596456b56a5,c56f5,4b54f5,6a56b56c5,5456a54a6456,b5a456b5...
777770007700077 777777077777777 777777707777777 770777777777777
{"train":[{"input":[[4,1,3,3,3],[3,3,3,3,3],[1,4,3,4,3],[4,4,3,7,1],[1,3,9,4,3],[3,4,3,3,3],[3,4,3,3,3],[1,4,3,3,1]],"output":[[7,7,7,0,7],[7,0,0,0,7],[7,7,7,7,7],[7,7,7,7,7],[7,7,7,7,7],[7,7,7,0,7],[7,7,7,0,7],[7,7,7,7,7]]},{"input":[[8,8,8,8,8,8,8,8],[4,2,0,0,0,8,8,8],[8,2,8,8,0,8,8,8],[8,2,8,8,0,8,8,8],[8,2,8,0,0,8,...
0
dataset=solve_erosion group=erosion lr2 predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b
SIMONSOLVEV1 predict raw pixels for 'O5T'
I0 8 6 c46b4,c46424,4a02c4,0f4,b464b0,2f4 O0 8 6 0,,c04040,0,a0404b0,0 I1 6 11 b02a3,b32a3,a32b3,,32c3,,2d3,3,,, O1 6 11 0,,,c040,,b0a40,040a40,a0b40,0c40,,0 I2 11 10 f71b2,a6c21c2,42b61d2,4a2a1a6c2,421g2,41h2,4i2,2,, O2 11 10 0,h040,g0a40,f0b40,g0a40,a040e40,b0f40,a0g40,0h40,0 I3 4 15 b07,a7a0,a707,7a07,4070,40a7,70a7...
0000000000 0000000000 0000000000 0000000000 0000000000 0000000000 0000000000 0000000000 0000000000 0000000000 0000000000 0004000000 0000000000
{"train":[{"input":[[4,4,4,4,6,4,4,4],[4,4,4,4,6,4,2,4],[4,0,0,2,4,4,4,4],[0,4,4,4,4,4,4,4],[4,4,4,6,4,0,0,0],[2,4,4,4,4,4,4,4]],"output":[[0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0],[0,0,0,0,4,0,4,0],[0,0,0,0,0,0,0,0],[0,0,4,0,4,0,0,0],[0,0,0,0,0,0,0,0]]},{"input":[[0,0,0,2,3,3],[3,3,3,2,3,3],[3,3,2,3,3,3],[3,3,2,3,3,3],[3,2,...
1
dataset=solve_erosion group=erosion corner4 predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b
simonsolvev1 predict raw pixels for 'O5T'
I0 14 8 5l0,0,l05,0,79k0,a2k0,0,f05e0 O0 2 6 79,2,79,2,79,2 I1 11 15 0,a05a05d0,5i0,0,,,c05e0,0,a05g0,a0986e0,a0a69e0,0,,, O1 3 10 986,a69,986,a69,986,a69,986,a69,986,a69 I2 13 11 0,i0b9,i0897,i0879,i0a97,b05e0879,0,5h05a0,0,, O2 3 15 9,897,879,a97,879,9,897,879,a97,879,9,897,879,a97,879 I3 14 16 0,,,e0391a3b0,e091393a...
19144 11911 19144 11911 19144 11911
{"train":[{"input":[[5,0,0,0,0,0,0,0,0,0,0,0,0,0],[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],[0,0,0,0,0,0,0,0,0,0,0,0,0,0],[7,9,0,0,0,0,0,0,0,0,0,0,0,0],[2,2,0,0,0,0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,5,0,0,0,0,0,0]],"output":[[7,9],[2,2],[7,9],[2,2],[7,9],[2,2]]},{"input":[[...
1
dataset=solve_count group=count_pixels_and_repeat_input_pattern repeat_y predict=rawpixels earlier_prediction=none image_width=medium image_height=large task_pixels=c
simonsolveversion1, 'O3T', predict the raw pixels
I0 9 12 8,c8c68,,8,,,,8a010c8,80682c8,8,, O0 9 12 8,c8a0108,c806828,8,,,,8c6c8,,8,, I1 12 9 a8a6d8038,,8,,,,,, O1 12 9 a803d8a68,,8,,,,,, I2 16 11 h81593b8,h83539b8,h854a3b8,h859a3b8,c8c6g8,,,,8,, O2 16 11 h8c6b8,,,,c81593g8,c83539g8,c854a3g8,c859a3g8,8,, I3T 8 13 8,,,,,,8c6b8,,8,,,c84372,c84302 O3T None I4T 13 15 8,,j...
88888888 88888888 88888888 88888888 88888888 88888888 84372888 84302888 88888888 88888888 88888888 88886666 88886666
{"train":[{"input":[[8,8,8,8,8,8,8,8,8],[8,8,8,8,6,6,6,6,8],[8,8,8,8,6,6,6,6,8],[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],[8,0,0,1,0,8,8,8,8],[8,0,6,8,2,8,8,8,8],[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]],"output":[[8,8,8,8,8,8,8,8,8],[8,8,8,8,0,0,1,0,8],[8,8,8,8,...
0
dataset=solve_template group=template swap_many_to_one predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
simonsolvev1 predict pixels for O4T
I0 2 9 18,75,72,5,7,94,91,21,85 O0 2 8 15,72,75,57,74,91,,25 I1 4 13 3b8,31a8,b38,3,6b3,b34,3631,4a39,b39,3658,8363,a8a3,b83 O1 4 10 31a3,3,b34,b31,6a39,3639,b38,4353,3a63,3 I2 2 10 58,52,,,92,,,,5,82 O2 2 9 52,,,,92,,,95,52 I3T 4 15 1b8,8,87a8,7871,8,a717,8,1b8,7178,a1a8,,1b8,a878,a818,8 O3T None I4T 13 16 8,,,86j8,8,...
8888858888888 8888858858888 8688254444888 8822888888888
{"train":[{"input":[[1,8],[7,5],[7,2],[5,5],[7,7],[9,4],[9,1],[2,1],[8,5]],"output":[[1,5],[7,2],[7,5],[5,7],[7,4],[9,1],[9,1],[2,5]]},{"input":[[3,8,8,8],[3,1,8,8],[3,3,3,8],[3,3,3,3],[6,3,3,3],[3,3,3,4],[3,6,3,1],[4,3,3,9],[3,3,3,9],[3,6,5,8],[8,3,6,3],[8,8,3,3],[8,8,8,3]],"output":[[3,1,3,3],[3,3,3,3],[3,3,3,4],[3,3...
1
dataset=solve_skew group=unskew_down predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b
simon-solve-v1, 'O3T', predict the pixels
I0 13 8 71c76b78a7,a7a17b6a86a7,1a8717a8a7617,1745a87161b7,7a65b616c7,715a6a4a71b7,6a717a14a1617,a716c7676a7 O0 13 8 b7a9b79c7,e79e7,7,j797,d79c7a97,j797,7,d7a9e7 I1 14 11 423a42434a3413,23a4a34a323b2,32k0,4a31a3a2132a04,43431a343a0212,342a323a04b21,34342a02a42342,143a012b34b3,21i432,a421434a2a4a23,243214b3434a3 O1 14 ...
7779777 7777777 7777777 7777777 7779777 7777777 7777777 7777777 7779977 7777777 7777777
{"train":[{"input":[[7,1,7,7,7,7,6,7,7,7,8,7,7],[7,7,1,1,7,6,6,6,8,8,6,7,7],[1,8,8,7,1,7,8,8,7,7,6,1,7],[1,7,4,5,8,8,7,1,6,1,7,7,7],[7,6,6,5,6,6,6,1,6,7,7,7,7],[7,1,5,6,6,4,4,7,7,1,7,7,7],[6,7,7,1,7,1,1,4,1,1,6,1,7],[7,7,1,6,7,7,7,7,6,7,6,7,7]],"output":[[7,7,7,9,9,7,7,7,9,7,7,7,7],[7,7,7,7,7,7,9,7,7,7,7,7,7],[7,7,7,7,...
0
dataset=solve_erosion group=erosion lr2 predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
simonsolvev1, O4T, predict pixels
I0 10 13 2,,,,,,7,2,,,d4d2,c74d2,b474d2 O0 10 13 2,,,d4d2,c74d2,b474d2,7,2,,,,, I1 8 13 2,,,,,,7,2,,2d4a2,2b474a2,2747a4a2,2b7a4a2 O1 8 13 2,,2d4a2,2b474a2,2747a4a2,2b7a4a2,7,2,,,,, I2 12 14 2,,,,,,,7,2,f2a4a72,f2c42,f24a742,f2a4742,f2c42 O2 12 14 2,,f2a4a72,f2c42,f24a742,f2a4742,f2c42,7,2,,,,, I3 7 14 2,,,,,,7,2,,,a27...
22222222222222 22222222222222 44442222222222 47742222222222 44442222222222 47472222222222 47772222222222 77777777777777 22222222222222 22222222222222 22222222222222 22222222222222 22222222222222 22222222222222
{"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],[7,7,7,7,7,7,7,7,7,7],[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],[4,4,4,4,4,2,2,2,2,2],[7,7,7,7,4,2,2,2,2,2],[4,4,4,7,4,2,2,2,2,2]],"output":[[2,...
0
dataset=solve_mirror group=mirror a_left b_left rotate_1 predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
simonsolveversion1, O4T, predict raw pixels
I0 3 14 1a6,a61,a62,102,702,762,862,,,842,862,,462,a62 O0 3 14 5,565,5,a56,,,5a6,6,656,,,5a6,,5 I1 14 11 1212a12a1a2b1,e1e212,121a2512a12121,e2a5a212a1,a124a216a52a12,2151b6a1b212,a15a1a94a21a21,25212a1a9a2b1,25a1a2b1a9212,5a1a2a121219a2,b2d1e2 O1 14 11 5,656f56b5,5,c56h5,k565,56k5,b56d56c5,b56i5,c5656f5,e56e56,5 I2 7 ...
55555 65555 66556 55555 55555 65565 65566 55666 56666 66566 55555
{"train":[{"input":[[1,6,6],[6,6,1],[6,6,2],[1,0,2],[7,0,2],[7,6,2],[8,6,2],[8,6,2],[8,6,2],[8,4,2],[8,6,2],[8,6,2],[4,6,2],[6,6,2]],"output":[[5,5,5],[5,6,5],[5,5,5],[5,5,6],[5,5,6],[5,5,6],[5,6,6],[6,6,6],[6,5,6],[6,5,6],[6,5,6],[5,6,6],[5,6,6],[5,5,5]]},{"input":[[1,2,1,2,1,1,2,1,1,2,2,1,1,1],[1,1,1,1,1,1,2,2,2,2,2,...
0
dataset=solve_erosion group=erosion tb2 predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b
simon-solve-v1, 'O4T', predict the raw pixels
I0 8 16 a3b9a31,c39314,a3a93194,a9391394,63a91b3,6a31c3,361c39,96239a39,9492c3,3432c3,4a32b39,49393a93,9a39c3,b39a3a9,d32a9,c3a939 O0 8 16 2,,28a28b2,d28a2,e282,a28d2,d28a2,d2a82,c28282,d28a2,28c282,2,,a28d2,2a8d2,2 I1 16 8 1a6217167a261621,21b216a216272a7,27a2626126a2b62,126c21626d2,6a2a62a67a216267,261b276b2176a2,271...
2222222222222222 2288222228222222 2222822222222822 2222282222222222 2828222222222222 2882222282228222 2888222228228882 2822222822222882 2282222282222282 2228882228222282 2228288222222222 2882222822822822 2888222222822222 2282222222222822 2828228222822882 2222222222222222
{"train":[{"input":[[3,3,9,9,9,3,3,1],[3,3,3,3,9,3,1,4],[3,3,9,9,3,1,9,4],[9,9,3,9,1,3,9,4],[6,3,9,9,1,3,3,3],[6,3,3,1,3,3,3,3],[3,6,1,3,3,3,3,9],[9,6,2,3,9,3,3,9],[9,4,9,2,3,3,3,3],[3,4,3,2,3,3,3,3],[4,3,3,2,3,3,3,9],[4,9,3,9,3,9,9,3],[9,3,3,9,3,3,3,3],[3,3,3,9,3,3,9,9],[3,3,3,3,3,2,9,9],[3,3,3,3,9,9,3,9]],"output":[[...
0
dataset=solve_erosion group=erosion tlbr2 predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
simon-solve-version1, O2T, predict raw pixels
I0 16 13 k2c6,j2b692,i2b69a2,h2a696b2,g2a696c2,f269a6d2,e269a6e2,d269a6f2,c29b6g2,b2c3h2,a2c6i2,2c6j2,c6k2 O0 4 13 6,b69,,a696,,69a6,,,9b6,3,6,, I1 11 3 a2a86a80b8,280a860a682,8b068a06a2 O1 9 3 a86a80b8,80a860a68,8b068a06 I2T 3 2 231,132 O2T None I3T 16 12 j2b040,i2a09042,h290904a2,g2b090b2,f2d0c2,e2909a0d2,d2a9a09e2,c...
31 13
{"train":[{"input":[[2,2,2,2,2,2,2,2,2,2,2,2,6,6,6,6],[2,2,2,2,2,2,2,2,2,2,2,6,6,6,9,2],[2,2,2,2,2,2,2,2,2,2,6,6,6,9,2,2],[2,2,2,2,2,2,2,2,2,6,6,9,6,2,2,2],[2,2,2,2,2,2,2,2,6,6,9,6,2,2,2,2],[2,2,2,2,2,2,2,6,9,6,6,2,2,2,2,2],[2,2,2,2,2,2,6,9,6,6,2,2,2,2,2,2],[2,2,2,2,2,6,9,6,6,2,2,2,2,2,2,2],[2,2,2,2,9,6,6,6,2,2,2,2,2,2...
0
dataset=solve_skew group=unskew_left predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b
SIMON-SOLVE-VERSION1 predict raw pixels for 'O4T'
I0 9 7 12a121b2,616212171,1676a17a1,2636272a1,216a72b1,1a27232a1,127d21 O0 1 2 1,3 I1 14 3 i946a4,46c2a9496464,e4a26a49a4 O1 1 2 4,6 I2 11 14 f93b9,93h9,c93e9,,d93d9,c93a93939,d94c93,d94d9,3c9423b9,d932c9,e9393a9,e932b9,f92b9,e93c9 O2 1 2 9,4 I3 13 14 53a5453e5,54a3c53a535,a53b593c53,b53a594a3535,45353595753a5,b5a39a54...
3 0
{"train":[{"input":[[1,2,1,1,2,1,2,2,2],[6,1,6,2,1,2,1,7,1],[1,6,7,6,1,1,7,1,1],[2,6,3,6,2,7,2,1,1],[2,1,6,7,7,2,1,1,1],[1,2,2,7,2,3,2,1,1],[1,2,7,2,2,2,2,2,1]],"output":[[1],[3]]},{"input":[[9,9,9,9,9,9,9,9,9,9,4,6,4,4],[4,6,2,2,2,2,9,9,4,9,6,4,6,4],[4,4,4,4,4,4,2,2,6,4,4,9,4,4]],"output":[[4],[6]]},{"input":[[9,9,9,9...
0
dataset=solve_color group=identify_most_and_least_popular_colors rotate_3 predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b
simon-solve-version1 predict raw pixels for 'O5T'
I0 13 15 1,3,383e83a83,838f38a3,8b3838383838,a8a38a3a838a3,a3838a383a838,38c3a8a38a3,a3c8a3a8383,e3a8383a8,d8c383a8,8b3d8c3,a3838c3b83,8e38d3,01d01d0 O0 13 15 13d18d1,31d31d3,b3c8383a83,b8c38a38a3,8b3838383838,8b38b3838a3,3a838a383a838,e3a8a38a3,3d83b8383,e38a383a8,83b8a38383a8,a8a3b838c3,a3838a383b83,8k3,01d01d0 I1 8 ...
1131133311138818 8813311188311181 8383338833383338 8338383388833383 3383883333883883 3883883383838383 3383838838333383 3383833333838883 3883888888333333 8883333333388333 8338888888388888 8338333833338888 0010011100011101
{"train":[{"input":[[1,1,1,1,1,1,1,1,1,1,1,1,1],[3,3,3,3,3,3,3,3,3,3,3,3,3],[3,8,3,8,8,8,8,8,8,3,8,8,3],[8,3,8,3,3,3,3,3,3,3,8,3,3],[8,3,3,3,8,3,8,3,8,3,8,3,8],[8,8,3,3,8,3,3,8,8,3,8,3,3],[3,3,8,3,8,3,3,8,3,8,8,3,8],[3,8,3,3,3,3,8,8,3,3,8,3,3],[3,3,8,8,8,8,3,3,8,8,3,8,3],[3,3,3,3,3,3,8,8,3,8,3,8,8],[8,8,8,8,8,3,3,3,3,8...
1
dataset=solve_deform group=deform_line rotate_1 displacement_1 predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
SIMONSOLVEVERSION1 predict pixels for O4T
I0 8 14 d47a4,,,a43472a4,843472a4,483472a4,387372a4,a48342a4,b4832a4,a4383234,c452a4,d42a4,,3c42a4 O0 8 14 5,5b7c5,5757c5,5,,,,,57e5,5,57e5,5b7c5,,5 I1 14 11 d71g7,e71f7,f71e7,g71d7,g391c7,a7b1a79a71b7,d7a191a71a7,e79a7c17,d79e7a1,c749g7,c74h7 O1 14 11 5,5c7b5d75,5d7b5c75,i5b75,j5a75,k575,57k5,5c7h5,5b7b5a7d5,5a7c5d7a5...
5555 5555 5555 5555 5575 5775 5775 5575 5555 5555
{"train":[{"input":[[4,4,4,4,4,7,4,4],[4,4,4,4,4,7,4,4],[4,4,4,4,4,7,4,4],[4,4,3,4,7,2,4,4],[8,4,3,4,7,2,4,4],[4,8,3,4,7,2,4,4],[3,8,7,3,7,2,4,4],[4,4,8,3,4,2,4,4],[4,4,4,8,3,2,4,4],[4,4,3,8,3,2,3,4],[4,4,4,4,5,2,4,4],[4,4,4,4,4,2,4,4],[4,4,4,4,4,2,4,4],[3,4,4,4,4,2,4,4]],"output":[[5,5,5,5,5,5,5,5],[5,7,7,7,5,5,5,5],[...
0
dataset=solve_erosion group=erosion nearest4 predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
Simon-Solve-Version1, O4T, predict pixels
I0 8 6 a4a62b6,a464c6,a4642b6,6,, O0 8 6 626a4b6,4a6a4b6,426a4b6,6,, I1 6 15 6,,,6b4a6,,6,6a91a6,6981a6,6,,,b6b4,,6, O1 6 15 6,,,6a91a6,6981a6,6,6b4a6,,6,,,b6a91,b6981,6, I2 15 10 6,,g658b6a4,g618b6a4,g651b6a4,6,,,, O2 15 10 6,,g6a4b658,g6a4b618,g6a4b651,6,,,, I3T 16 11 6,,,,,a6a4k6,a6a4a6a4a643c6,a6a4a6a4a63d6,e6a4a63...
66666666666 66666666666 66666666666 66666666666 66444666666 66444666666 66444680466 66444609466 66666609466 66804609966 66094666666 66094666666 66099666666
{"train":[{"input":[[4,4,6,6,2,6,6,6],[4,4,6,4,6,6,6,6],[4,4,6,4,2,6,6,6],[6,6,6,6,6,6,6,6],[6,6,6,6,6,6,6,6],[6,6,6,6,6,6,6,6]],"output":[[6,2,6,4,4,6,6,6],[4,6,6,4,4,6,6,6],[4,2,6,4,4,6,6,6],[6,6,6,6,6,6,6,6],[6,6,6,6,6,6,6,6],[6,6,6,6,6,6,6,6]]},{"input":[[6,6,6,6,6,6],[6,6,6,6,6,6],[6,6,6,6,6,6],[6,4,4,4,6,6],[6,4,...
1
dataset=solve_template group=template swap_one_to_many predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
simonsolvev1 predict pixels for O3T
I0 6 13 3,d34,3,,,34a343,3,a358a5,,,a3a8a5,a398a5,a3c5 O0 12 6 58b58b58a5,,,a8a5a8a5a8a5,98a598a598a5,5 I1 13 8 f34d3,3,e3479b73,f3d93,f3a98a93,f3d93,f38c93,f3a98793 O1 10 6 79c79b7,9,a98c98a9,9,8c98c9,a987b9879 I2 16 10 3,g3175158a3,g35a1a85a3,g32a0217a3,g3127129a3,a34b34375a971a3,3,m343,k34b3,3 O2 24 5 17515817515817...
166161166161166161166161166161 516161516161516161516161516161 115995115995115995115995115995 189861189861189861189861189861 118111118111118111118111118111
{"train":[{"input":[[3,3,3,3,3,3],[3,3,3,3,3,4],[3,3,3,3,3,3],[3,3,3,3,3,3],[3,3,3,3,3,3],[3,4,3,3,4,3],[3,3,3,3,3,3],[3,3,5,8,5,5],[3,3,5,8,5,5],[3,3,5,8,5,5],[3,3,8,8,5,5],[3,3,9,8,5,5],[3,3,5,5,5,5]],"output":[[5,8,5,5,5,8,5,5,5,8,5,5],[5,8,5,5,5,8,5,5,5,8,5,5],[5,8,5,5,5,8,5,5,5,8,5,5],[8,8,5,5,8,8,5,5,8,8,5,5],[9,...
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=b
SIMON-SOLVE-VERSION1, O4T, predict raw pixels
I0 13 14 b09e09a0,a09d09c0,b09c09c0,k09,0,,,909f0a90,k09,e0909c0,9d09e0,g09c0,h09b0,0 O0 13 14 4,41414a1a4a1a4,4a14c1a41a4,4b14c14a14,4j14,,a4f1a414,414f1b4,a4141414b1a4,4c1a414b14,4d1a414a14,a4d1a4b14,4g14a14,4 I1 14 8 h02c0,f0a21c0,d0a24a6a3a0,c024a6e0,a0a20c5d0,0c5h0,0, O1 14 8 4,4b1f4a14,4a1h414,b41i4,c41c4c14,d41c...
44444444444444 44444414444444 44144441444444 44444444444444 44444114444444 44444111444444 44144444144444 44444444444444 44444444444444 44444444444144 44444144444444 44144444444144 44114444444414 44411144444444 44444444444444
{"train":[{"input":[[0,0,0,9,0,0,0,0,0,0,9,0,0],[0,0,9,0,0,0,0,0,9,0,0,0,0],[0,0,0,9,0,0,0,0,9,0,0,0,0],[0,0,0,0,0,0,0,0,0,0,0,0,9],[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],[9,0,9,0,0,0,0,0,0,0,9,9,0],[0,0,0,0,0,0,0,0,0,0,0,0,9],[0,0,0,0,0,0,9,0,9,0,0,0,0],[9,0,0,0,0,0,9,0,0,0...
0
dataset=solve_erosion group=erosion tlbr2 predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
SIMONSOLVEV1, 'O3T', predict the pixels
I0 12 15 18f3a81,18383a8c31,9b38a3b831,13a83a8c31,9c383b831,13838a383831,1a3838383a81,183838383831,1a3838b3831,1a38a3a83831,1838a383a831,138a38d31,138a383a8a31,13c8a3a831,9i31 O0 12 15 18f3a81,18383a8c31,91b38a3b83,13a83a8c31,91c383b83,13838a383831,1a3838383a81,183838383831,1a3838b3831,1a38a3a83831,1838a383a831,138a38d...
913333 913883 183331 188381 188331 183831 188881 138831 133831 138831 133831 133831 138831 133381
{"train":[{"input":[[1,8,3,3,3,3,3,3,3,8,8,1],[1,8,3,8,3,8,8,3,3,3,3,1],[9,3,3,3,8,3,3,8,8,8,3,1],[1,3,8,8,3,8,8,3,3,3,3,1],[9,3,3,3,3,8,3,8,8,8,3,1],[1,3,8,3,8,3,3,8,3,8,3,1],[1,3,3,8,3,8,3,8,3,8,8,1],[1,8,3,8,3,8,3,8,3,8,3,1],[1,3,3,8,3,8,3,3,3,8,3,1],[1,3,3,8,3,3,8,8,3,8,3,1],[1,8,3,8,3,3,8,3,8,8,3,1],[1,3,8,3,3,8,3...
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 predict raw pixels for 'O3T'
I0 7 8 c2a82,d282,8d28,a23c2,d280,e28,b20a28,08b2a3 O0 7 8 9,a96c9,9,,,96d9,9, I1 8 4 3d231,c394a3,c31b3,d3a19 O1 8 4 9,,9a6d9,9 I2 8 6 8,,d82a8,c812a8,c81b8,b8d3 O2 8 6 9,9b6c9,9a6d9,,96e9,9 I3T 10 6 72g7,72f79,a72e72,a72b78527,b73b7127,b73e7 O3T None
9999999999 9999666699 9999699999 9999999999 9999999999 9999999999
{"train":[{"input":[[2,2,2,2,8,8,2],[2,2,2,2,2,8,2],[8,2,2,2,2,2,8],[2,2,3,2,2,2,2],[2,2,2,2,2,8,0],[2,2,2,2,2,2,8],[2,2,2,0,2,2,8],[0,8,2,2,2,3,3]],"output":[[9,9,9,9,9,9,9],[9,9,6,9,9,9,9],[9,9,9,9,9,9,9],[9,9,9,9,9,9,9],[9,9,9,9,9,9,9],[9,6,9,9,9,9,9],[9,9,9,9,9,9,9],[9,9,9,9,9,9,9]]},{"input":[[3,2,2,2,2,2,3,1],[3,...
0
dataset=solve_erosion group=erosion all8 predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a
simonsolvev1, O4T, predict pixels
I0 12 14 9,,,,,,6,9,,a9a7272d9,a9b272d9,a92b72d9,a927272d9,a9d2d9 O0 12 14 9,a9a7272d9,a9b272d9,a92b72d9,a927272d9,a9d2d9,6,9,,,,,, I1 14 14 9,,,,,,,6,9,,f97b2b9,f92a72b9,f9c2b9,f9a2a7b9 O1 14 14 9,,,f97b2b9,f92a72b9,f9c2b9,f9a2a7b9,6,9,,,,, I2 10 15 9,,,,,,,6,9,c9b2b9,c9272b9,c9a27b9,c9a72b9,c9b2b9,c9727b9 O2 10 15 9,...
9999999999999 9999999999999 9999999227229 9999999227229 9999999727279 9999999222229 9999999272279 6666666666666 9999999999999 9999999999999 9999999999999 9999999999999 9999999999999 9999999999999
{"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],[6,6,6,6,6,6,6,6,6,6,6,6],[9,9,9,9,9,9,9,9,9,9,9,9],[9,9,9,9,9,9,9,9,9,9,9,9],[9,9,7,7,2,7,2,9,9,9,9,9],[9,9,2,2,2,7,2,9,9,9,9,9],[9,9,2,7,7,7,2...
0
dataset=solve_mirror group=mirror a_left b_left rotate_1 predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
SIMON-SOLVE-V1 predict raw pixels for O3T
I0 11 5 3,d3a9b53,b3a9e3,3, O0 11 5 0,b6f06,,b6a0e6,0 I1 5 12 35151,7a515,27918,327a1,52715,32175,52a17,562a1,56253,56b5,36538,853a5 O1 5 12 0,,b060,,06b0,,0,6c0,a6b0,06b0,0, I2 12 3 84b85784848,848b7d84,a41a4d848 O2 12 3 0,06d0606a0,0 I3T 3 9 636,6,,651,656,356,435,463,4a6 O3T None I4T 5 11 a49a4,a4549,42459,4c9,9a494...
000 606 600 600 060 000 000 600 000
{"train":[{"input":[[3,3,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,9,9,5,5,5,3],[3,3,3,9,9,3,3,3,3,3,3],[3,3,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3,3,3,3]],"output":[[0,0,0,0,0,0,0,0,0,0,0],[6,6,6,0,0,0,0,0,0,0,6],[6,6,6,0,0,0,0,0,0,0,6],[6,6,6,0,0,6,6,6,6,6,6],[0,0,0,0,0,0,0,0,0,0,0]]},{"input":[[3,5,1,5,1],[7,5,5,1,5],[2,7,9,1,8],[...
0
dataset=solve_erosion group=erosion tb2 predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=a
SIMON-SOLVE-V1, 'O5T', predict the raw pixels
I0 11 15 5,,a59g5,5,,,e59c5,d5a30135,a59a5368179,d5348135,d5031a35,d5a31305,5,, O0 5 20 a3013,36817,34813,031a3,a3130,a3013,36817,34813,031a3,a3130,a3013,36817,34813,031a3,a3130,a3013,36817,34813,031a3,a3130 I1 5 6 38b5,08a59,209a5,709a5,32b5,20b5 O1 2 18 38,08,20,70,32,20,38,08,20,70,32,20,38,08,20,70,32,20 I2 6 14 5,...
77206 76666 76666 66676 67677 46666 77206 76666 76666 66676 67677 46666 77206 76666 76666 66676 67677 46666 77206 76666 76666 66676 67677 46666
{"train":[{"input":[[5,5,5,5,5,5,5,5,5,5,5],[5,5,5,5,5,5,5,5,5,5,5],[5,5,9,5,5,5,5,5,5,5,5],[5,5,5,5,5,5,5,5,5,5,5],[5,5,5,5,5,5,5,5,5,5,5],[5,5,5,5,5,5,5,5,5,5,5],[5,5,5,5,5,5,9,5,5,5,5],[5,5,5,5,5,3,3,0,1,3,5],[5,5,9,5,5,3,6,8,1,7,9],[5,5,5,5,5,3,4,8,1,3,5],[5,5,5,5,5,0,3,1,3,3,5],[5,5,5,5,5,3,3,1,3,0,5],[5,5,5,5,5,5...
1
dataset=solve_count group=count_pixels_and_repeat_input_pattern repeat_y predict=rawpixels earlier_prediction=none image_width=medium image_height=large task_pixels=b
SIMON-SOLVE-VERSION1 predict raw pixels for 'O3T'
I0 2 8 27,2,12,,20,,2,72 O0 2 7 2,,12,10,20,2, I1 8 13 7,4f7,46e7,492d7,49121b7,a13021a7,7141a317,a7a10a34,b738131,c71413,d7816,e7a1,f74 O1 8 6 c7b14,46b2a31,4910c3,49310a16,414184a1,b131814 I2 3 11 7,a27,272,,2,267,a27,2,,7a2,a72 O2 3 9 7a2,272,,a27,267,2,,, I3T 2 3 07,30,72 O3T None
00 32
{"train":[{"input":[[2,7],[2,2],[1,2],[1,2],[2,0],[2,0],[2,2],[7,2]],"output":[[2,2],[2,2],[1,2],[1,0],[2,0],[2,2],[2,2]]},{"input":[[7,7,7,7,7,7,7,7],[4,7,7,7,7,7,7,7],[4,6,7,7,7,7,7,7],[4,9,2,7,7,7,7,7],[4,9,1,2,1,7,7,7],[1,1,3,0,2,1,7,7],[7,1,4,1,3,3,1,7],[7,7,1,1,0,3,3,4],[7,7,7,3,8,1,3,1],[7,7,7,7,1,4,1,3],[7,7,7,...
0
dataset=solve_skew group=unskew_down predict=rawpixels earlier_prediction=none image_width=small image_height=medium task_pixels=a
Simon-Solve-V1, 'O4T', predict the pixels
I0 11 11 9h69,96a4646b49,9a6464c69,964a646a469,9464b64a69,3b6a46a469,3a4c6a469,3b6a464a69,964a646a469,364a6464a69,346464c69 O0 11 11 9h69,96a4646b49,9a6464c69,964a646a469,9464b64a69,39b6a46a46,39a4c6a46,39b6a464a6,964a646a469,3964a6464a6,3946464c6 I1 13 12 94a6464d69,9464d64a69,3a64646a4a649,9c64b6b49,96a4a6b4b69,9646a...
3966666 9644469 9464669 9664669 9646469 9646469 3964646 3964666 9466449
{"train":[{"input":[[9,6,6,6,6,6,6,6,6,6,9],[9,6,4,4,6,4,6,4,4,4,9],[9,6,6,4,6,4,6,6,6,6,9],[9,6,4,6,6,4,6,4,4,6,9],[9,4,6,4,6,6,6,4,6,6,9],[3,6,6,6,4,4,6,4,4,6,9],[3,4,4,6,6,6,6,4,4,6,9],[3,6,6,6,4,4,6,4,6,6,9],[9,6,4,6,6,4,6,4,4,6,9],[3,6,4,6,6,4,6,4,6,6,9],[3,4,6,4,6,4,6,6,6,6,9]],"output":[[9,6,6,6,6,6,6,6,6,6,9],[...
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-V1 predict raw pixels for O3T
I0 8 9 c9b79,95a95a90,97a8a909,965a7b9,96a790a9,960207a9,a9297a97,972d9,e979 O0 8 9 7,4f7,4c74a7,4e74,a4c7a4,4d747,,4a7474a7,7 I1 9 5 d31a31,31c3b1,3b1b313,131a3b13,1a3c1a3 O1 9 5 7,4b74c7,c74a747,g74,7 I2T 5 7 91a37,67179,61a39,36193,16393,16971,37319 O2T None I3T 7 16 d919,,a92a919,,92a9159,9a54159,b94150,a954150,a95...
7777777 4474444 4474444 4774774 4777774 4777447 4774447 4477444 4447744 4774744 4777447 4777747 4777744 4474744 4447774 7777777
{"train":[{"input":[[9,9,9,9,7,7,7,9],[9,5,9,9,5,9,9,0],[9,7,8,8,9,9,0,9],[9,6,5,7,7,9,9,9],[9,6,7,7,9,0,9,9],[9,6,0,2,0,7,9,9],[9,9,2,9,7,9,9,7],[9,7,2,9,9,9,9,9],[9,9,9,9,9,9,7,9]],"output":[[7,7,7,7,7,7,7,7],[4,7,7,7,7,7,7,7],[4,7,7,7,7,4,7,7],[4,7,7,7,7,7,7,4],[4,4,7,7,7,7,4,4],[4,7,7,7,7,7,4,7],[4,7,7,7,7,7,4,7],[...
1
dataset=solve_erosion group=erosion tb2 predict=rawpixels earlier_prediction=none image_width=small image_height=medium task_pixels=b
Simon-Solve-Version1 predict raw pixels for 'O3T'
I0 13 7 6,,,b64a7b6b36,b6451b6b36,b64a5b6b36,b6b8b6b36 O0 13 7 6,,,b64a7b64a76,b6451b64516,b64a5b64a56,b6b8b6b86 I1 10 10 6,f6b3,,b69a26b3,b6b96b3,b62a9c6,b6a926b3,f6b3,, O1 10 10 6,f69a2,f6b9,b69a262a9,b6b96a92,b62a9c6,b6a9269a2,f6b9,f62a9,f6a92 I2 9 6 c36c3,,6,a649a7b6,a64601b6,6 O2 9 6 49a7649a7,460164601,6,a649a7b6...
666666 666666 666666 666666 666666 946666 346666 106694 666634 946610 346666 106666
{"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],[6,6,6,4,7,7,6,6,6,3,3,3,6],[6,6,6,4,5,1,6,6,6,3,3,3,6],[6,6,6,4,5,5,6,6,6,3,3,3,6],[6,6,6,8,8,8,6,6,6,3,3,3,6]],"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],[6,6,6,4,...
0
dataset=solve_template group=template with_insertion_image predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b
simonsolveversion1, O5T, predict pixels
I0 11 13 0,,,,,,7,0,g0242,,,,g0a24 O0 11 13 0,g0242,,,,g0a24,7,0,,,,, I1 9 14 0,,,,,,,7,0,,,a0a24a2a0,a02a4a2a0,a0d2a0 O1 9 14 0,,,,a0a24a2a0,a02a4a2a0,a0d2a0,7,0,,,,, I2 8 15 0,,,,,,,7,0,,,b0a2420,b042420,,b0a4a20 O2 8 15 0,,,b0a2420,b042420,,b0a4a20,7,0,,,,,, I3 14 14 0,,,,,,7,0,,d2h0,24242h0,a4242h0,24a24h0,4a2a4h0 ...
0000000000000 0000000000000 0002224000000 0002442000000 0004222000000 0004442000000 7777777777777 0000000000000 0000000000000 0000000000000 0000000000000 0000000000000 0000000000000
{"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],[7,7,7,7,7,7,7,7,7,7,7],[0,0,0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,2,4,2],[0,0,0,0,0,0,0,0,2,4,2],[0,0,0,0,0,0,0,0,2,4,2],[0,0,0,0,0,0,0,0,2,4,2],[0,0,0,0,0,0...
1
dataset=solve_mirror group=mirror a_left b_left rotate_1 predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
Simon-Solve-Version1 predict raw pixels for 'O3T'
I0 13 13 4,,f4a3a7a4,f4c3a4,f43a73a4,f4a7a3a4,7,4,,,,, O0 13 13 4,,,,,,7,f4a3a7a4,f4c3a4,f43a73a4,f4a7a3a4,4, I1 16 14 4,,,l4a73,l4737,l43a7,7,4,,,,,, O1 16 14 4,,,,,,7,l4a73,l4737,l43a7,4,,, I2 7 15 4,b4b37,b43737,,b437a3,b43a73,b4c3,7,4,,,,,, O2 7 15 4,,,,,,,7,b4b37,b43737,,b437a3,b43a73,b4c3,4 I3T 8 14 4,,,b4b374,b4...
44444444 44444444 44444444 44444444 44444444 44444444 44444444 77777777 44433374 44437334 44437374 44433774 44444444 44444444
{"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],[4,4,4,4,4,4,4,3,3,7,7,4,4],[4,4,4,4,4,4,4,3,3,3,3,4,4],[4,4,4,4,4,4,4,3,7,7,3,4,4],[4,4,4,4,4,4,4,7,7,3,3,4,4],[7,7,7,7,7,7,7,7,7,7,7,7,7],[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
dataset=solve_mirror group=mirror a_right b_left rotate_3 predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
SIMONSOLVEV1 'O5T' predict the raw pixels
I0 13 12 e49e4,,,,,,,,b47a89e4,b47879e4,b4b79e4,e49e4 O0 13 12 e49e4,,,,,,,,e497a8b4,e49787b4,e49b7b4,e49e4 I1 14 7 a48b79f4,a478789f4,a478a79f4,a4a7a89f4,,e49f4, O1 14 7 e498b7b4,e497878b4,e4978a7b4,e49a7a8b4,,e49f4, I2 15 13 f49f4,,,,,,,,,b48b79f4,b47a879f4,b487879f4,b4a7879f4 O2 15 13 f49f4,,,,,,,,,f498b7b4,f497a87b...
44444449444444 44444449444444 44444449444444 44444449444444 44444449444444 44444449777444 44444449787444 44444449787444 44444449877444 44444449444444 44444449444444 44444449444444 44444449444444 44444449444444 44444449444444
{"train":[{"input":[[4,4,4,4,4,4,9,4,4,4,4,4,4],[4,4,4,4,4,4,9,4,4,4,4,4,4],[4,4,4,4,4,4,9,4,4,4,4,4,4],[4,4,4,4,4,4,9,4,4,4,4,4,4],[4,4,4,4,4,4,9,4,4,4,4,4,4],[4,4,4,4,4,4,9,4,4,4,4,4,4],[4,4,4,4,4,4,9,4,4,4,4,4,4],[4,4,4,4,4,4,9,4,4,4,4,4,4],[4,4,4,7,8,8,9,4,4,4,4,4,4],[4,4,4,7,8,7,9,4,4,4,4,4,4],[4,4,4,7,7,7,9,4,4,4...
1
dataset=solve_mirror group=mirror a_right b_left rotate_0 predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
SIMON-SOLVE-V1 'O2T' predict the raw pixels
I0 12 6 f1a7172,f1a7175,a1a7b1a7132,a1a7b1a7125,a1a7g1, O0 12 6 f172172,f175175,a172b132132,a175b125125,a132g1,a125g1 I1 6 14 1,,c7a1,,1,,,a1c7,,1,a1a2a1,a1a862,1, O1 6 14 1,,a2c1,a862a1,1,,,a1a2a1,a1a862,1,a1a2a1,a1a862,1, I2T 14 15 1,,g1a7c1,,,,1,,k1a9,c1a7e198,c1a7e138,c1a7e131,c1a7g1,1, O2T None I3T 15 15 1,,b12323...
11111111111111 11111111111111 11111111991111 11111111981111 11111111381111 11111111311111 11111111111111 11111111111111 11111111111199 11119911111198 11119811111138 11113811111131 11113111111111 11111111111111 11111111111111
{"train":[{"input":[[1,1,1,1,1,1,1,7,7,1,7,2],[1,1,1,1,1,1,1,7,7,1,7,5],[1,1,7,7,1,1,1,7,7,1,3,2],[1,1,7,7,1,1,1,7,7,1,2,5],[1,1,7,7,1,1,1,1,1,1,1,1],[1,1,7,7,1,1,1,1,1,1,1,1]],"output":[[1,1,1,1,1,1,1,7,2,1,7,2],[1,1,1,1,1,1,1,7,5,1,7,5],[1,1,7,2,1,1,1,3,2,1,3,2],[1,1,7,5,1,1,1,2,5,1,2,5],[1,1,3,2,1,1,1,1,1,1,1,1],[1,...
0
dataset=solve_template group=template with_insertion_image predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
simonsolvev1 'O4T' predict the raw pixels
I0 14 6 93a9a3f93,h8b181,a18a181a8c18,b1b8b1a8b1,c8b1c8b1,9 O0 14 6 93a9a3f93,81a81c8b1a8,a181a81a8d1,1818d1a8b1,89a8a91c8a19,98a9a8f91 I1 8 16 a9a393a9,f81,8a18b18,a8a1c8,d8a18,8a181818,b81c8,8f1,8a1d8,a818b18,8a1a8a18,a8181818,18181818,818181a8,1d818,9 O1 8 16 a9a393a9,a81a8181,8c1818,d81a8,a81b818,818a1818,a8a181a8,...
993339933399 881188811181 888881888118 811181811888 888181888181 188188188188 811188118118 888881818888 818181881181 888118181818 111811188818 119998899988 998889988899
{"train":[{"input":[[9,3,9,9,3,3,9,9,9,9,9,9,9,3],[8,8,8,8,8,8,8,8,8,1,1,1,8,1],[1,1,8,1,1,8,1,8,8,1,1,1,1,8],[1,1,1,8,8,8,1,1,1,8,8,1,1,1],[8,8,8,8,1,1,1,8,8,8,8,1,1,1],[9,9,9,9,9,9,9,9,9,9,9,9,9,9]],"output":[[9,3,9,9,3,3,9,9,9,9,9,9,9,3],[8,1,8,8,1,8,8,8,8,1,1,1,8,8],[1,1,8,1,8,8,1,8,8,1,1,1,1,1],[1,8,1,8,1,1,1,1,1,...
0
dataset=solve_deform group=deform_line rotate_3 displacement_1 predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
simon-solve-version1, O4T, predict raw pixels
I0 10 12 0,9b49d4,4949a4b94,b4949c4,4949494a94,9a4b9a494,9a4a9d4,a9494c94,9a49c494,9a494a9494,9c4b949,a5a0a505a0 O0 10 12 a0a4a09049,94a09404a0,49d49a4,b494a9494,49494949a4,9a4b9a494,9a4a9b494,a9494949a4,9a49a49494,9a4949a494,9a494c94,a5a0a505a0 I1 9 12 0,a4c9b4,a4b94949,c949494,a4a949494,c494949,4a94949a4,949a49494,b9...
044000400 400999044 444949494 499444994 444949444 500555055
{"train":[{"input":[[0,0,0,0,0,0,0,0,0,0],[9,4,4,4,9,4,4,4,4,4],[4,9,4,9,4,4,9,9,9,4],[4,4,4,9,4,9,4,4,4,4],[4,9,4,9,4,9,4,9,9,4],[9,4,4,9,9,9,4,4,9,4],[9,4,4,9,9,4,4,4,4,4],[9,9,4,9,4,9,9,9,9,4],[9,4,4,9,4,4,4,4,9,4],[9,4,4,9,4,9,9,4,9,4],[9,4,4,4,4,9,9,9,4,9],[5,5,0,0,5,5,0,5,0,0]],"output":[[0,0,4,4,0,0,9,0,4,9],[9,...
0
dataset=solve_deform group=deform_line rotate_1 displacement_1 predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
SIMON-SOLVE-VERSION1, 'O4T', predict the pixels
I0 11 16 a191b91919,b0a70a7b0,b0a7070a70,0b70a70b7,7070707b07,7b0707b07,e70c7,7c0707a07,a70707070a7,a7070e7,a70707b070,0b70b70a7,a7a0a7070a7,7a0707b0a7,7,9 O0 11 16 a191b91919,a9097079090,b0a70b7a0,a0a70a70b7,0c707a0a7,7b0707b07,7070a7a0707,a70707070a7,7c0707a07,a7070e7,a7070707070,c70a7a0a7,070b7070a7,a7b07070a7,70d70...
9919919999991 7097797777079 7070070070777 7777007770700 7007770070707 7000077770777 7777700077707 0077077770007 7707070000777 7707707777077 9979979999997
{"train":[{"input":[[1,1,9,1,9,9,9,1,9,1,9],[0,0,0,7,7,0,7,7,0,0,0],[0,0,0,7,7,0,7,0,7,7,0],[0,7,7,7,0,7,7,0,7,7,7],[7,0,7,0,7,0,7,0,0,0,7],[7,0,0,0,7,0,7,0,0,0,7],[7,7,7,7,7,7,0,7,7,7,7],[7,0,0,0,0,7,0,7,0,0,7],[7,7,0,7,0,7,0,7,0,7,7],[7,7,0,7,0,7,7,7,7,7,7],[7,7,0,7,0,7,0,0,0,7,0],[0,7,7,7,0,7,7,7,0,7,7],[7,7,0,0,7,7...
1
dataset=solve_deform group=deform_line rotate_3 displacement_-1 predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
simon-solve-v1 predict pixels for O3T
I0 13 7 e15e1,1a5b05e1,1d05e1,10a5a05e1,e15e1,, O0 13 7 e15e1,e1b5b01,e15d01,e150a5a01,e15e1,, I1 13 13 e15e1,,,,1d05e1,1a0a505e1,,1a5b05e1,1c505e1,e15e1,,, O1 13 13 e15e1,,,,e15d01,e15a0a501,,e1b5b01,e1d501,e15e1,,, I2 13 14 e15e1,,,,,,,a1a0b5e1,a105a05e1,a1a0505e1,e15e1,,, O2 13 14 e15e1,,,,,,,e15a0a5a1,e1505a0a1,e15...
11111151111111 11111155055111 11111150500111 11111150550111 11111150000111 11111151111111 11111151111111 11111151111111
{"train":[{"input":[[1,1,1,1,1,1,5,1,1,1,1,1,1],[1,5,5,0,0,0,5,1,1,1,1,1,1],[1,0,0,0,0,0,5,1,1,1,1,1,1],[1,0,5,5,0,0,5,1,1,1,1,1,1],[1,1,1,1,1,1,5,1,1,1,1,1,1],[1,1,1,1,1,1,5,1,1,1,1,1,1],[1,1,1,1,1,1,5,1,1,1,1,1,1]],"output":[[1,1,1,1,1,1,5,1,1,1,1,1,1],[1,1,1,1,1,1,5,5,5,0,0,0,1],[1,1,1,1,1,1,5,0,0,0,0,0,1],[1,1,1,1,...
0
dataset=solve_mirror group=mirror a_right b_left rotate_0 predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
simonsolvev1 predict raw pixels for 'O4T'
I0 14 16 9c20d2029,32a0b20d29,32d02c029,320c2a020a29,3202a0a20a2029,320a202a0a2029,920a20c20a29,320a2a02020a29,9a20a20b2a029,30202a0a20b29,3202020a202029,3a20d202029,9b02a020b209,3b2a0a2020a29,9b0a202a02029,9k29 O0 14 16 9b20d20292,32a0b20d29,32d02c029,320c2a020a29,3202a0a20a2029,320a202a0a2029,90a20c20a292,320a2a02020...
922220202292 900022222290 922200020092 320202202229 322002202029 320220020229 320202220029 322220022229 302022200029 922222020292 920000222292 322200000009 302200022209 900202002090 922202222090
{"train":[{"input":[[9,2,2,2,2,0,2,2,2,2,2,0,2,9],[3,2,0,0,2,2,2,0,2,2,2,2,2,9],[3,2,0,0,0,0,0,2,0,0,0,0,2,9],[3,2,0,2,2,2,2,0,0,2,0,2,2,9],[3,2,0,2,0,0,2,2,0,2,2,0,2,9],[3,2,0,2,2,0,2,0,0,2,2,0,2,9],[9,2,0,2,2,0,2,2,2,2,0,2,2,9],[3,2,0,2,2,0,0,2,0,2,0,2,2,9],[9,2,2,0,2,2,0,2,2,2,0,0,2,9],[3,0,2,0,2,0,0,2,2,0,2,2,2,9],...
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 'O5T' predict the pixels
I0 15 12 f20f2,,,f20c90a2,f20a9a09a2,f2090b9a2,f209c0a2,f20d9a2,f20a90a9a2,f20f2,, O0 15 12 f20f2,,,c90a20f2,a9a09a20f2,90b9a20f2,9c0a20f2,d9a20f2,a90a9a20f2,f20f2,, I1 14 10 e20f2,e20b9c2,e209a0c2,e2a0a9c2,e20f2,,,,, O1 14 10 e20f2,b9b20f2,9a0b20f2,0a9b20f2,e20f2,,,,, I2 14 15 f20e2,,,,f209b0a2,f209a09a2,f20c9a2,f20e2...
22222220222222 99009220222222 90999220222222 90900220222222 90900220222222 90990220222222 22222220222222 22222220222222 22222220222222 22222220222222 22222220222222 22222220222222 22222220222222 22222220222222
{"train":[{"input":[[2,2,2,2,2,2,2,0,2,2,2,2,2,2,2],[2,2,2,2,2,2,2,0,2,2,2,2,2,2,2],[2,2,2,2,2,2,2,0,2,2,2,2,2,2,2],[2,2,2,2,2,2,2,0,9,9,9,9,0,2,2],[2,2,2,2,2,2,2,0,9,9,0,0,9,2,2],[2,2,2,2,2,2,2,0,9,0,9,9,9,2,2],[2,2,2,2,2,2,2,0,9,0,0,0,0,2,2],[2,2,2,2,2,2,2,0,9,9,9,9,9,2,2],[2,2,2,2,2,2,2,0,9,9,0,9,9,2,2],[2,2,2,2,2,2...
1
dataset=solve_mirror group=mirror a_right b_right rotate_2 predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=d
SIMONSOLVEVERSION1 'O4T' predict the raw pixels
I0 13 6 b89c898a98,d8a398a9a8,898a3a89a8b9,a858f9a8,a8b98a9c89,g89c8 O0 13 6 1,818f18a1,8e18a18a1,8e18d1,a8h181,1 I1 6 15 a01a60,06a0a1,60a616,606a16,6061a6,6a0a16,a601a6,6a0a61,60a6a1,65c6,650616,65a161,15a616,61a606,a6a161 O1 6 15 1,,c181,b8a18,a81818,8a1818,818b1,8d1,8a18a1,,a8c1,18c1,1,, I2 15 6 6a4a6464264a646,4d6...
11111111 11811111 88811111 88111888 88181888 18811188 18811118 18881118 18881811 18888881 11118881 81111888 11111111
{"train":[{"input":[[8,8,8,9,8,8,8,8,9,8,9,9,8],[8,8,8,8,8,3,3,9,8,9,9,8,8],[8,9,8,3,3,8,8,9,8,8,9,9,9],[8,8,5,8,9,9,9,9,9,9,9,8,8],[8,8,9,9,9,8,9,9,8,8,8,8,9],[8,8,8,8,8,8,8,8,9,8,8,8,8]],"output":[[1,1,1,1,1,1,1,1,1,1,1,1,1],[8,1,8,1,1,1,1,1,1,1,8,1,1],[8,1,1,1,1,1,1,8,1,1,8,1,1],[8,1,1,1,1,1,1,8,1,1,1,1,1],[8,8,1,1,...
0
dataset=solve_erosion group=erosion tb2 predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b
Simon-Solve-V1 predict raw pixels for O3T
I0 4 15 3,a3a6,a636,a363,,36a3,87a3,8b3,38a3,,,a383,3,,b30 O0 4 15 3,,,,,,,,,,,37a3,a373,37a3,3 I1 13 9 0a58b5a45a05,5a84c5a0b5,8a0520a52a050,5b0a5252c5,4050a5054a505,25a0c50a504,a502045054b5,b540f50,20502520d5 O1 13 9 3,,e37c373,3,,,e3737c3,h37373,3 I2 9 12 3a65d3,5b3a5363,b5a3a536,5d3a53,36f3,5a35a35a3,e35a3,35353a53...
333333333333 333333333333 333333333333 333333333333 333333333333 333333333333 333333333373 333333733333 333333333333 333333333333
{"train":[{"input":[[3,3,3,3],[3,3,6,6],[6,6,3,6],[3,3,6,3],[3,3,6,3],[3,6,3,3],[8,7,3,3],[8,3,3,3],[3,8,3,3],[3,8,3,3],[3,8,3,3],[3,3,8,3],[3,3,3,3],[3,3,3,3],[3,3,3,0]],"output":[[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],[3,7,3,3],[3,3,7,3],[3,7,3,3]...
0
dataset=solve_erosion group=erosion corner4 predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b
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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.jsonl
  • dataset_solve_rotate.jsonl
  • dataset_solve_translate.jsonl
  • dataset_cellular_automaton.jsonl - added.
  • dataset_shape.jsonl - added.

Verison 19

Added dataset.

Datasets:

  • dataset_solve_color.jsonl
  • dataset_solve_rotate.jsonl
  • dataset_solve_translate.jsonl
  • dataset_cellular_automaton.jsonl
  • dataset_shape.jsonl
  • dataset_image.jsonl - added.

Verison 20

Bigger images.

Verison 21

Added dataset. Disabled some datasets.

Datasets:

  • dataset_cellular_automaton.jsonl
  • dataset_shape.jsonl
  • dataset_mass.jsonl - added.

Verison 22

Added dataset.

Datasets:

  • dataset_solve_color.jsonl
  • dataset_solve_rotate.jsonl
  • dataset_solve_translate.jsonl
  • dataset_cellular_automaton.jsonl
  • dataset_shape.jsonl
  • dataset_image.jsonl
  • dataset_mass.jsonl
  • dataset_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 - disabled
  • dataset_image.jsonl - disabled
  • dataset_mass.jsonl
  • dataset_shape.jsonl
  • dataset_solve_color.jsonl - disabled
  • dataset_solve_rotate.jsonl - disabled
  • dataset_solve_translate.jsonl - disabled
  • dataset_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 - disabled
  • dataset_histogram.jsonl - disabled
  • dataset_image.jsonl - disabled
  • dataset_mass.jsonl
  • dataset_scale.jsonl
  • dataset_shape.jsonl - disabled
  • dataset_solve_color.jsonl
  • dataset_solve_rotate.jsonl
  • dataset_solve_translate.jsonl

Verison 37

Enabled all datasets

Datasets:

  • dataset_cellular_automaton.jsonl
  • dataset_histogram.jsonl
  • dataset_image.jsonl
  • dataset_mass.jsonl
  • dataset_scale.jsonl
  • dataset_shape.jsonl
  • dataset_solve_color.jsonl
  • dataset_solve_rotate.jsonl
  • dataset_solve_translate.jsonl

Verison 38

Added dataset

Datasets:

  • dataset_cellular_automaton.jsonl
  • dataset_histogram.jsonl
  • dataset_image.jsonl
  • dataset_mass.jsonl
  • dataset_scale.jsonl
  • dataset_shape.jsonl
  • dataset_solve_color.jsonl
  • dataset_solve_rotate.jsonl
  • dataset_solve_translate.jsonl
  • dataset_symmetry.jsonl - added

Version 39

Regenerated all datasets with new random seeds.

Version 40

Added dataset

Datasets:

  • dataset_cellular_automaton.jsonl
  • dataset_histogram.jsonl
  • dataset_image.jsonl
  • dataset_image_pair.jsonl - added
  • dataset_mass.jsonl
  • dataset_scale.jsonl
  • dataset_shape.jsonl
  • dataset_solve_color.jsonl
  • dataset_solve_rotate.jsonl
  • dataset_solve_translate.jsonl
  • dataset_symmetry.jsonl

Version 41

Regenerated all datasets with new random seeds.

Version 42

Added dataset. Disabled some datasets.

Datasets:

  • dataset_cellular_automaton.jsonl
  • dataset_histogram.jsonl - disabled
  • dataset_image.jsonl - disabled
  • dataset_image_pair.jsonl - disabled
  • dataset_mass.jsonl - disabled
  • dataset_scale.jsonl
  • dataset_shape.jsonl
  • dataset_solve_color.jsonl
  • dataset_solve_rotate.jsonl
  • dataset_solve_scale.jsonl - added
  • dataset_solve_translate.jsonl
  • dataset_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.jsonl
  • dataset_histogram.jsonl
  • dataset_image.jsonl - disabled
  • dataset_image_pair.jsonl - disabled
  • dataset_mass.jsonl - disabled
  • dataset_scale.jsonl - disabled
  • dataset_shape.jsonl - disabled
  • dataset_solve_color.jsonl
  • dataset_solve_rotate.jsonl
  • dataset_solve_scale.jsonl
  • dataset_solve_symmetry.jsonl - added
  • dataset_solve_translate.jsonl
  • dataset_symmetry.jsonl

Version 48

Enabled all datasets.

Version 49

Bigger max_mass. From 6 to 8.

Version 50

Added dataset.

Datasets:

  • dataset_cellular_automaton.jsonl
  • dataset_histogram.jsonl
  • dataset_image.jsonl - disabled
  • dataset_image_pair.jsonl - disabled
  • dataset_mass.jsonl - disabled
  • dataset_scale.jsonl - disabled
  • dataset_shape.jsonl - disabled
  • dataset_solve_color.jsonl
  • dataset_solve_compress.jsonl - added
  • dataset_solve_rotate.jsonl
  • dataset_solve_scale.jsonl
  • dataset_solve_symmetry.jsonl
  • dataset_solve_translate.jsonl
  • dataset_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.jsonl
  • dataset_erotion.jsonl - added
  • dataset_histogram.jsonl
  • dataset_image.jsonl
  • dataset_image_pair.jsonl
  • dataset_mass.jsonl
  • dataset_scale.jsonl
  • dataset_shape.jsonl
  • dataset_solve_color.jsonl
  • dataset_solve_compress.jsonl
  • dataset_solve_rotate.jsonl
  • dataset_solve_scale.jsonl
  • dataset_solve_symmetry.jsonl
  • dataset_solve_translate.jsonl
  • dataset_symmetry.jsonl

Version 55

Added dataset. Disabled most datasets.

Datasets:

  • dataset_cellular_automaton.jsonl
  • dataset_dilation.jsonl - added
  • dataset_erotion.jsonl
  • dataset_histogram.jsonl - disabled
  • dataset_image.jsonl - disabled
  • dataset_image_pair.jsonl - disabled
  • dataset_mass.jsonl - disabled
  • dataset_scale.jsonl - disabled
  • dataset_shape.jsonl - disabled
  • dataset_solve_color.jsonl - disabled
  • dataset_solve_compress.jsonl - disabled
  • dataset_solve_rotate.jsonl - disabled
  • dataset_solve_scale.jsonl - disabled
  • dataset_solve_symmetry.jsonl - disabled
  • dataset_solve_translate.jsonl - disabled
  • dataset_symmetry.jsonl - disabled

Version 56

Enabled all datasets.

Datasets:

  • dataset_cellular_automaton.jsonl
  • dataset_dilation.jsonl
  • dataset_erotion.jsonl
  • dataset_histogram.jsonl
  • dataset_image.jsonl
  • dataset_image_pair.jsonl
  • dataset_mass.jsonl
  • dataset_scale.jsonl
  • dataset_shape.jsonl
  • dataset_solve_color.jsonl
  • dataset_solve_compress.jsonl
  • dataset_solve_rotate.jsonl
  • dataset_solve_scale.jsonl
  • dataset_solve_symmetry.jsonl
  • dataset_solve_translate.jsonl
  • dataset_symmetry.jsonl

Version 57

Regenerated all datasets with new random seeds.

Version 58

Disabled most datasets.

Datasets:

  • dataset_cellular_automaton.jsonl - disabled
  • dataset_dilation.jsonl - disabled
  • dataset_erotion.jsonl - disabled
  • dataset_histogram.jsonl - disabled
  • dataset_image.jsonl - disabled
  • dataset_image_pair.jsonl - disabled
  • dataset_mass.jsonl - disabled
  • dataset_scale.jsonl - disabled
  • dataset_shape.jsonl - disabled
  • dataset_solve_color.jsonl
  • dataset_solve_compress.jsonl
  • dataset_solve_rotate.jsonl
  • dataset_solve_scale.jsonl
  • dataset_solve_symmetry.jsonl
  • dataset_solve_translate.jsonl
  • dataset_symmetry.jsonl - disabled

Version 59

Added new datasets.

Disabled most datasets.

Datasets:

  • dataset_cellular_automaton.jsonl - disabled
  • dataset_dilation.jsonl - disabled
  • dataset_erotion.jsonl - disabled
  • dataset_histogram.jsonl - disabled
  • dataset_image.jsonl - disabled
  • dataset_image_pair.jsonl - disabled
  • dataset_mass.jsonl - disabled
  • dataset_scale.jsonl - disabled
  • dataset_shape.jsonl - disabled
  • dataset_solve_color.jsonl
  • dataset_solve_compress.jsonl
  • dataset_solve_erosion.jsonl - added
  • dataset_solve_fractal.jsonl - added
  • dataset_solve_rotate.jsonl
  • dataset_solve_scale.jsonl
  • dataset_solve_symmetry.jsonl
  • dataset_solve_translate.jsonl
  • dataset_symmetry.jsonl - disabled

Version 60

Incremented random seed

Datasets:

  • dataset_cellular_automaton.jsonl - disabled
  • dataset_dilation.jsonl - disabled
  • dataset_erotion.jsonl - disabled
  • dataset_histogram.jsonl - disabled
  • dataset_image.jsonl - disabled
  • dataset_image_pair.jsonl - disabled
  • dataset_mass.jsonl - disabled
  • dataset_scale.jsonl - disabled
  • dataset_shape.jsonl - disabled
  • dataset_solve_color.jsonl
  • dataset_solve_compress.jsonl
  • dataset_solve_erosion.jsonl
  • dataset_solve_fractal.jsonl
  • dataset_solve_rotate.jsonl
  • dataset_solve_scale.jsonl
  • dataset_solve_symmetry.jsonl
  • dataset_solve_translate.jsonl
  • dataset_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 - disabled
  • dataset_dilation.jsonl - disabled
  • dataset_erotion.jsonl - disabled
  • dataset_histogram.jsonl - disabled
  • dataset_image.jsonl - disabled
  • dataset_image_pair.jsonl - disabled
  • dataset_mass.jsonl
  • dataset_scale.jsonl - disabled
  • dataset_shape.jsonl - disabled
  • dataset_solve_color.jsonl - disabled
  • dataset_solve_compress.jsonl - disabled
  • dataset_solve_erosion.jsonl
  • dataset_solve_fractal.jsonl
  • dataset_solve_rotate.jsonl - disabled
  • dataset_solve_scale.jsonl - disabled
  • dataset_solve_symmetry.jsonl
  • dataset_solve_translate.jsonl - disabled
  • dataset_symmetry.jsonl - disabled

Version 64

Added dataset.

Increased the number of rows in the jsonl file from 200k to 300k.

Datasets:

  • dataset_cellular_automaton.jsonl
  • dataset_dilation.jsonl
  • dataset_erotion.jsonl
  • dataset_histogram.jsonl
  • dataset_image.jsonl
  • dataset_image_pair.jsonl
  • dataset_mass.jsonl
  • dataset_scale.jsonl
  • dataset_shape.jsonl
  • dataset_solve_color.jsonl
  • dataset_solve_compress.jsonl
  • dataset_solve_erosion.jsonl
  • dataset_solve_fractal.jsonl
  • dataset_solve_outline.jsonl - added
  • dataset_solve_rotate.jsonl
  • dataset_solve_scale.jsonl
  • dataset_solve_symmetry.jsonl
  • dataset_solve_translate.jsonl
  • dataset_symmetry.jsonl

Version 65

random seed.

Version 66

Disabled some datasets.

Datasets:

  • dataset_cellular_automaton.jsonl
  • dataset_dilation.jsonl
  • dataset_erotion.jsonl
  • dataset_histogram.jsonl - disabled
  • dataset_image.jsonl - disabled
  • dataset_image_pair.jsonl - disabled
  • dataset_mass.jsonl
  • dataset_scale.jsonl - disabled
  • dataset_shape.jsonl
  • dataset_solve_color.jsonl - disabled
  • dataset_solve_compress.jsonl - disabled
  • dataset_solve_erosion.jsonl - disabled
  • dataset_solve_fractal.jsonl - disabled
  • dataset_solve_outline.jsonl - disabled
  • dataset_solve_rotate.jsonl - disabled
  • dataset_solve_scale.jsonl - disabled
  • dataset_solve_symmetry.jsonl - disabled
  • dataset_solve_translate.jsonl - disabled
  • dataset_symmetry.jsonl - disabled

Version 67

Disabled some datasets.

Datasets:

  • dataset_cellular_automaton.jsonl
  • dataset_dilation.jsonl
  • dataset_erotion.jsonl
  • dataset_histogram.jsonl
  • dataset_image.jsonl
  • dataset_image_pair.jsonl
  • dataset_mass.jsonl
  • dataset_scale.jsonl
  • dataset_shape.jsonl
  • dataset_solve_color.jsonl - enabled
  • dataset_solve_compress.jsonl - enabled
  • dataset_solve_erosion.jsonl - enabled
  • dataset_solve_fractal.jsonl - enabled
  • dataset_solve_outline.jsonl - enabled
  • dataset_solve_rotate.jsonl - enabled
  • dataset_solve_scale.jsonl - enabled
  • dataset_solve_symmetry.jsonl - enabled
  • dataset_solve_translate.jsonl - enabled
  • dataset_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 - disabled
  • dataset_dilation.jsonl - disabled
  • dataset_erotion.jsonl - disabled
  • dataset_histogram.jsonl - disabled
  • dataset_image.jsonl - disabled
  • dataset_image_pair.jsonl - disabled
  • dataset_mass.jsonl - disabled
  • dataset_scale.jsonl - disabled
  • dataset_shape.jsonl - disabled
  • dataset_solve_color.jsonl
  • dataset_solve_compress.jsonl
  • dataset_solve_erosion.jsonl
  • dataset_solve_fractal.jsonl
  • dataset_solve_outline.jsonl
  • dataset_solve_rotate.jsonl
  • dataset_solve_scale.jsonl
  • dataset_solve_symmetry.jsonl
  • dataset_solve_translate.jsonl
  • dataset_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.jsonl
  • dataset_dilation.jsonl
  • dataset_erotion.jsonl
  • dataset_histogram.jsonl
  • dataset_image.jsonl
  • dataset_image_pair.jsonl
  • dataset_mass.jsonl
  • dataset_scale.jsonl
  • dataset_shape.jsonl
  • dataset_solve_color.jsonl
  • dataset_solve_compress.jsonl
  • dataset_solve_erosion.jsonl
  • dataset_solve_fractal.jsonl
  • dataset_solve_outline.jsonl
  • dataset_solve_rotate.jsonl
  • dataset_solve_scale.jsonl
  • dataset_solve_symmetry.jsonl
  • dataset_solve_translate.jsonl
  • dataset_solve_zindex.jsonl - added
  • dataset_symmetry.jsonl

Version 83

Disabled datasets that doesn't solve ARC puzzles.

Datasets:

  • dataset_cellular_automaton.jsonl - disabled
  • dataset_dilation.jsonl - disabled
  • dataset_erotion.jsonl - disabled
  • dataset_histogram.jsonl - disabled
  • dataset_image.jsonl - disabled
  • dataset_image_pair.jsonl - disabled
  • dataset_mass.jsonl - disabled
  • dataset_scale.jsonl - disabled
  • dataset_shape.jsonl - disabled
  • dataset_solve_color.jsonl
  • dataset_solve_compress.jsonl
  • dataset_solve_erosion.jsonl
  • dataset_solve_fractal.jsonl
  • dataset_solve_outline.jsonl
  • dataset_solve_rotate.jsonl
  • dataset_solve_scale.jsonl
  • dataset_solve_symmetry.jsonl
  • dataset_solve_translate.jsonl
  • dataset_solve_zindex.jsonl
  • dataset_symmetry.jsonl - disabled

Version 84

Added dataset dataset_solve_grid.jsonl.

Disabled datasets that doesn't solve ARC puzzles.

Datasets:

  • dataset_cellular_automaton.jsonl - disabled
  • dataset_dilation.jsonl - disabled
  • dataset_erotion.jsonl - disabled
  • dataset_histogram.jsonl - disabled
  • dataset_image.jsonl - disabled
  • dataset_image_pair.jsonl - disabled
  • dataset_mass.jsonl - disabled
  • dataset_scale.jsonl - disabled
  • dataset_shape.jsonl - disabled
  • dataset_solve_color.jsonl
  • dataset_solve_compress.jsonl
  • dataset_solve_erosion.jsonl
  • dataset_solve_fractal.jsonl
  • dataset_solve_grid.jsonl - added
  • dataset_solve_outline.jsonl
  • dataset_solve_rotate.jsonl
  • dataset_solve_scale.jsonl
  • dataset_solve_symmetry.jsonl
  • dataset_solve_translate.jsonl
  • dataset_solve_zindex.jsonl
  • dataset_symmetry.jsonl - disabled

Version 85

Disabled datasets that doesn't solve ARC puzzles.

Datasets:

  • dataset_cellular_automaton.jsonl - disabled
  • dataset_dilation.jsonl - disabled
  • dataset_erotion.jsonl - disabled
  • dataset_histogram.jsonl - disabled
  • dataset_image.jsonl - disabled
  • dataset_image_pair.jsonl - disabled
  • dataset_mass.jsonl - disabled
  • dataset_scale.jsonl - disabled
  • dataset_shape.jsonl - disabled
  • dataset_solve_color.jsonl
  • dataset_solve_compress.jsonl
  • dataset_solve_erosion.jsonl
  • dataset_solve_fractal.jsonl
  • dataset_solve_grid.jsonl
  • dataset_solve_outline.jsonl
  • dataset_solve_rotate.jsonl
  • dataset_solve_scale.jsonl
  • dataset_solve_symmetry.jsonl
  • dataset_solve_translate.jsonl
  • dataset_solve_zindex.jsonl
  • dataset_symmetry.jsonl - disabled

Version 86

Enabled all datasets.

Version 87

Disabled datasets that doesn't solve ARC puzzles.

Datasets:

  • dataset_cellular_automaton.jsonl - disabled
  • dataset_dilation.jsonl - disabled
  • dataset_erotion.jsonl - disabled
  • dataset_histogram.jsonl - disabled
  • dataset_image.jsonl - disabled
  • dataset_image_pair.jsonl - disabled
  • dataset_mass.jsonl - disabled
  • dataset_scale.jsonl - disabled
  • dataset_shape.jsonl - disabled
  • dataset_solve_color.jsonl
  • dataset_solve_compress.jsonl
  • dataset_solve_erosion.jsonl
  • dataset_solve_fractal.jsonl
  • dataset_solve_grid.jsonl
  • dataset_solve_outline.jsonl
  • dataset_solve_rotate.jsonl
  • dataset_solve_scale.jsonl
  • dataset_solve_symmetry.jsonl
  • dataset_solve_translate.jsonl
  • dataset_solve_zindex.jsonl
  • dataset_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 - disabled
  • dataset_dilation.jsonl - disabled
  • dataset_erotion.jsonl - disabled
  • dataset_histogram.jsonl - disabled
  • dataset_image.jsonl - disabled
  • dataset_image_pair.jsonl - disabled
  • dataset_mass.jsonl - disabled
  • dataset_scale.jsonl - disabled
  • dataset_shape.jsonl - disabled
  • dataset_solve_color.jsonl
  • dataset_solve_compress.jsonl
  • dataset_solve_erosion.jsonl
  • dataset_solve_fractal.jsonl
  • dataset_solve_grid.jsonl
  • dataset_solve_outline.jsonl
  • dataset_solve_probecolor.jsonl
  • dataset_solve_rotate.jsonl
  • dataset_solve_scale.jsonl
  • dataset_solve_symmetry.jsonl
  • dataset_solve_translate.jsonl
  • dataset_solve_zindex.jsonl
  • dataset_symmetry.jsonl - disabled

Version 89

Enabled all datasets.

Datasets:

  • dataset_cellular_automaton.jsonl
  • dataset_dilation.jsonl
  • dataset_erotion.jsonl
  • dataset_histogram.jsonl
  • dataset_image.jsonl
  • dataset_image_pair.jsonl
  • dataset_mass.jsonl
  • dataset_scale.jsonl
  • dataset_shape.jsonl
  • dataset_solve_color.jsonl
  • dataset_solve_compress.jsonl
  • dataset_solve_erosion.jsonl
  • dataset_solve_fractal.jsonl
  • dataset_solve_grid.jsonl
  • dataset_solve_outline.jsonl
  • dataset_solve_probecolor.jsonl
  • dataset_solve_rotate.jsonl
  • dataset_solve_scale.jsonl
  • dataset_solve_symmetry.jsonl
  • dataset_solve_translate.jsonl
  • dataset_solve_zindex.jsonl
  • dataset_symmetry.jsonl

Version 90

Disabled some of the datasets.

Datasets:

  • dataset_cellular_automaton.jsonl - disabled
  • dataset_dilation.jsonl - disabled
  • dataset_erotion.jsonl - disabled
  • dataset_histogram.jsonl - disabled
  • dataset_image.jsonl - disabled
  • dataset_image_pair.jsonl - disabled
  • dataset_mass.jsonl - disabled
  • dataset_scale.jsonl - disabled
  • dataset_shape.jsonl - disabled
  • dataset_solve_color.jsonl - disabled
  • dataset_solve_compress.jsonl
  • dataset_solve_erosion.jsonl - disabled
  • dataset_solve_fractal.jsonl
  • dataset_solve_grid.jsonl - disabled
  • dataset_solve_outline.jsonl - disabled
  • dataset_solve_probecolor.jsonl
  • dataset_solve_rotate.jsonl
  • dataset_solve_scale.jsonl
  • dataset_solve_symmetry.jsonl
  • dataset_solve_translate.jsonl - disabled
  • dataset_solve_zindex.jsonl - disabled
  • dataset_symmetry.jsonl - disabled

Version 91

Added dataset.

Enabled all datasets.

Datasets:

  • dataset_cellular_automaton.jsonl
  • dataset_dilation.jsonl
  • dataset_erotion.jsonl
  • dataset_histogram.jsonl
  • dataset_image.jsonl
  • dataset_image_pair.jsonl
  • dataset_mass.jsonl
  • dataset_scale.jsonl
  • dataset_shape.jsonl
  • dataset_solve_color.jsonl
  • dataset_solve_compress.jsonl
  • dataset_solve_erosion.jsonl
  • dataset_solve_fractal.jsonl
  • dataset_solve_grid.jsonl
  • dataset_solve_mass.jsonl - added
  • dataset_solve_outline.jsonl
  • dataset_solve_probecolor.jsonl
  • dataset_solve_rotate.jsonl
  • dataset_solve_scale.jsonl
  • dataset_solve_symmetry.jsonl
  • dataset_solve_translate.jsonl
  • dataset_solve_zindex.jsonl
  • dataset_symmetry.jsonl

Version 92

Different random seed.

Version 93

Added dataset.

Datasets:

  • dataset_cellular_automaton.jsonl
  • dataset_dilation.jsonl
  • dataset_erotion.jsonl
  • dataset_histogram.jsonl
  • dataset_image.jsonl
  • dataset_image_pair.jsonl
  • dataset_mass.jsonl
  • dataset_scale.jsonl
  • dataset_shape.jsonl
  • dataset_solve_bool.jsonl - added
  • dataset_solve_color.jsonl
  • dataset_solve_compress.jsonl
  • dataset_solve_erosion.jsonl
  • dataset_solve_fractal.jsonl
  • dataset_solve_grid.jsonl
  • dataset_solve_mass.jsonl
  • dataset_solve_outline.jsonl
  • dataset_solve_probecolor.jsonl
  • dataset_solve_rotate.jsonl
  • dataset_solve_scale.jsonl
  • dataset_solve_symmetry.jsonl
  • dataset_solve_translate.jsonl
  • dataset_solve_zindex.jsonl
  • dataset_symmetry.jsonl

Version 94

Added dataset.

Disabled datasets that doesn't solve ARC tasks.

Datasets:

  • dataset_cellular_automaton.jsonl - disabled
  • dataset_dilation.jsonl - disabled
  • dataset_erotion.jsonl - disabled
  • dataset_histogram.jsonl - disabled
  • dataset_image.jsonl - disabled
  • dataset_image_pair.jsonl - disabled
  • dataset_mass.jsonl - disabled
  • dataset_scale.jsonl - disabled
  • dataset_shape.jsonl - disabled
  • dataset_solve_bool.jsonl
  • dataset_solve_color.jsonl
  • dataset_solve_compress.jsonl
  • dataset_solve_edge.jsonl - added
  • dataset_solve_erosion.jsonl
  • dataset_solve_fractal.jsonl
  • dataset_solve_grid.jsonl
  • dataset_solve_mass.jsonl
  • dataset_solve_outline.jsonl
  • dataset_solve_probecolor.jsonl
  • dataset_solve_rotate.jsonl
  • dataset_solve_scale.jsonl
  • dataset_solve_symmetry.jsonl
  • dataset_solve_translate.jsonl
  • dataset_solve_zindex.jsonl
  • dataset_symmetry.jsonl - disabled

Version 95

Added dataset.

Datasets:

  • dataset_cellular_automaton.jsonl
  • dataset_dilation.jsonl
  • dataset_erotion.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_color.jsonl
  • dataset_solve_compress.jsonl
  • dataset_solve_edge.jsonl
  • dataset_solve_erosion.jsonl
  • dataset_solve_fractal.jsonl
  • dataset_solve_grid.jsonl
  • dataset_solve_half.jsonl - added
  • dataset_solve_mass.jsonl
  • dataset_solve_outline.jsonl
  • dataset_solve_probecolor.jsonl
  • dataset_solve_rotate.jsonl
  • dataset_solve_scale.jsonl
  • dataset_solve_symmetry.jsonl
  • dataset_solve_translate.jsonl
  • dataset_solve_zindex.jsonl
  • dataset_symmetry.jsonl

Version 96

Datasets:

  • dataset_cellular_automaton.jsonl
  • dataset_dilation.jsonl
  • dataset_erotion.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_color.jsonl
  • dataset_solve_compress.jsonl
  • dataset_solve_edge.jsonl
  • dataset_solve_erosion.jsonl
  • dataset_solve_fractal.jsonl
  • dataset_solve_grid.jsonl
  • dataset_solve_half.jsonl
  • dataset_solve_mass.jsonl
  • dataset_solve_outline.jsonl
  • dataset_solve_probecolor.jsonl
  • dataset_solve_rotate.jsonl
  • dataset_solve_scale.jsonl
  • dataset_solve_symmetry.jsonl
  • dataset_solve_translate.jsonl
  • dataset_solve_zindex.jsonl - major update.
  • dataset_symmetry.jsonl

Version 97

Disabled the first half of the datasets.

Datasets:

  • dataset_cellular_automaton.jsonl - disabled
  • dataset_dilation.jsonl - disabled
  • dataset_erotion.jsonl - disabled
  • dataset_histogram.jsonl - disabled
  • dataset_image.jsonl - disabled
  • dataset_image_pair.jsonl - disabled
  • dataset_mass.jsonl - disabled
  • dataset_scale.jsonl - disabled
  • dataset_shape.jsonl - disabled
  • dataset_solve_bool.jsonl - disabled
  • dataset_solve_color.jsonl - disabled
  • dataset_solve_compress.jsonl - disabled
  • dataset_solve_edge.jsonl
  • dataset_solve_erosion.jsonl
  • dataset_solve_fractal.jsonl
  • dataset_solve_grid.jsonl
  • dataset_solve_half.jsonl
  • dataset_solve_mass.jsonl
  • dataset_solve_outline.jsonl
  • dataset_solve_probecolor.jsonl
  • dataset_solve_rotate.jsonl
  • dataset_solve_scale.jsonl
  • dataset_solve_symmetry.jsonl
  • dataset_solve_translate.jsonl
  • dataset_solve_zindex.jsonl
  • dataset_symmetry.jsonl

Version 98

Disabled the last half of the datasets.

Datasets:

  • dataset_cellular_automaton.jsonl
  • dataset_dilation.jsonl
  • dataset_erotion.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_color.jsonl
  • dataset_solve_compress.jsonl
  • dataset_solve_edge.jsonl - disabled
  • dataset_solve_erosion.jsonl - disabled
  • dataset_solve_fractal.jsonl - disabled
  • dataset_solve_grid.jsonl - disabled
  • dataset_solve_half.jsonl - disabled
  • dataset_solve_mass.jsonl - disabled
  • dataset_solve_outline.jsonl - disabled
  • dataset_solve_probecolor.jsonl - disabled
  • dataset_solve_rotate.jsonl - disabled
  • dataset_solve_scale.jsonl - disabled
  • dataset_solve_symmetry.jsonl - disabled
  • dataset_solve_translate.jsonl - disabled
  • dataset_solve_zindex.jsonl - disabled
  • dataset_symmetry.jsonl - disabled

Version 99

Disabled the 1/4th of the datasets.

Datasets:

  • dataset_cellular_automaton.jsonl - disabled
  • dataset_dilation.jsonl - disabled
  • dataset_erotion.jsonl - disabled
  • dataset_histogram.jsonl - disabled
  • dataset_image.jsonl - disabled
  • dataset_image_pair.jsonl - disabled
  • dataset_mass.jsonl - disabled
  • dataset_scale.jsonl - disabled
  • dataset_shape.jsonl - disabled
  • dataset_solve_bool.jsonl - disabled
  • dataset_solve_color.jsonl - disabled
  • dataset_solve_compress.jsonl - disabled
  • dataset_solve_edge.jsonl
  • dataset_solve_erosion.jsonl
  • dataset_solve_fractal.jsonl
  • dataset_solve_grid.jsonl
  • dataset_solve_half.jsonl
  • dataset_solve_mass.jsonl
  • dataset_solve_outline.jsonl
  • dataset_solve_probecolor.jsonl - disabled
  • dataset_solve_rotate.jsonl - disabled
  • dataset_solve_scale.jsonl - disabled
  • dataset_solve_symmetry.jsonl - disabled
  • dataset_solve_translate.jsonl - disabled
  • dataset_solve_zindex.jsonl - disabled
  • dataset_symmetry.jsonl - disabled

Version 100

Added dataset.

Datasets:

  • dataset_cellular_automaton.jsonl
  • dataset_dilation.jsonl
  • dataset_erotion.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_color.jsonl
  • dataset_solve_compress.jsonl
  • dataset_solve_edge.jsonl
  • dataset_solve_erosion.jsonl
  • dataset_solve_fractal.jsonl
  • dataset_solve_grid.jsonl
  • dataset_solve_half.jsonl
  • dataset_solve_mask.jsonl - added
  • dataset_solve_mass.jsonl
  • dataset_solve_outline.jsonl
  • dataset_solve_probecolor.jsonl
  • dataset_solve_rotate.jsonl
  • dataset_solve_scale.jsonl
  • dataset_solve_symmetry.jsonl
  • dataset_solve_translate.jsonl
  • dataset_solve_zindex.jsonl
  • dataset_symmetry.jsonl

Version 101

Disabled the non solving datasets.

Datasets:

  • dataset_cellular_automaton.jsonl - disabled
  • dataset_dilation.jsonl - disabled
  • dataset_erotion.jsonl - disabled
  • dataset_histogram.jsonl - disabled
  • dataset_image.jsonl - disabled
  • dataset_image_pair.jsonl - disabled
  • dataset_mass.jsonl - disabled
  • dataset_scale.jsonl - disabled
  • dataset_shape.jsonl - disabled
  • dataset_solve_bool.jsonl
  • dataset_solve_color.jsonl
  • dataset_solve_compress.jsonl
  • dataset_solve_edge.jsonl
  • dataset_solve_erosion.jsonl
  • dataset_solve_fractal.jsonl
  • dataset_solve_grid.jsonl
  • dataset_solve_half.jsonl
  • dataset_solve_mask.jsonl
  • dataset_solve_mass.jsonl
  • dataset_solve_outline.jsonl
  • dataset_solve_probecolor.jsonl
  • dataset_solve_rotate.jsonl
  • dataset_solve_scale.jsonl
  • dataset_solve_symmetry.jsonl
  • dataset_solve_translate.jsonl
  • dataset_solve_zindex.jsonl
  • dataset_symmetry.jsonl - disabled

Version 102

Added dataset

Datasets:

  • dataset_cellular_automaton.jsonl
  • dataset_dilation.jsonl
  • dataset_erotion.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 - added
  • dataset_solve_color.jsonl
  • dataset_solve_compress.jsonl
  • dataset_solve_edge.jsonl
  • dataset_solve_erosion.jsonl
  • dataset_solve_fractal.jsonl
  • dataset_solve_grid.jsonl
  • dataset_solve_half.jsonl
  • dataset_solve_mask.jsonl
  • dataset_solve_mass.jsonl
  • dataset_solve_outline.jsonl
  • dataset_solve_probecolor.jsonl
  • dataset_solve_rotate.jsonl
  • dataset_solve_scale.jsonl
  • dataset_solve_symmetry.jsonl
  • dataset_solve_translate.jsonl
  • dataset_solve_zindex.jsonl
  • dataset_symmetry.jsonl

Version 103

Different random seed.

Version 104

Disabled the non solving datasets.

Datasets:

  • dataset_cellular_automaton.jsonl - disabled
  • dataset_dilation.jsonl - disabled
  • dataset_erotion.jsonl - disabled
  • dataset_histogram.jsonl - disabled
  • dataset_image.jsonl - disabled
  • dataset_image_pair.jsonl - disabled
  • dataset_mass.jsonl - disabled
  • dataset_scale.jsonl - disabled
  • dataset_shape.jsonl - disabled
  • 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_fractal.jsonl
  • dataset_solve_grid.jsonl
  • dataset_solve_half.jsonl
  • dataset_solve_mask.jsonl
  • dataset_solve_mass.jsonl
  • dataset_solve_outline.jsonl
  • dataset_solve_probecolor.jsonl
  • dataset_solve_rotate.jsonl
  • dataset_solve_scale.jsonl
  • dataset_solve_symmetry.jsonl
  • dataset_solve_translate.jsonl
  • dataset_solve_zindex.jsonl
  • dataset_symmetry.jsonl - disabled

Version 105

Major update to dataset_solve_scale.jsonl with scaling down noisy images.

Datasets:

  • dataset_cellular_automaton.jsonl
  • dataset_dilation.jsonl
  • dataset_erotion.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_fractal.jsonl
  • dataset_solve_grid.jsonl
  • dataset_solve_half.jsonl
  • dataset_solve_mask.jsonl
  • dataset_solve_mass.jsonl
  • dataset_solve_outline.jsonl
  • dataset_solve_probecolor.jsonl
  • dataset_solve_rotate.jsonl
  • dataset_solve_scale.jsonl - scale down noisy images
  • dataset_solve_symmetry.jsonl
  • dataset_solve_translate.jsonl
  • dataset_solve_zindex.jsonl
  • dataset_symmetry.jsonl

Version 106

Different random seed.

Version 107

Added dataset

Datasets:

  • dataset_cellular_automaton.jsonl
  • dataset_dilation.jsonl
  • dataset_erotion.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_fractal.jsonl
  • dataset_solve_grid.jsonl
  • dataset_solve_half.jsonl
  • dataset_solve_mask.jsonl
  • dataset_solve_mass.jsonl
  • dataset_solve_outline.jsonl
  • dataset_solve_probecolor.jsonl
  • dataset_solve_ray.jsonl - added
  • dataset_solve_rotate.jsonl
  • dataset_solve_scale.jsonl
  • dataset_solve_symmetry.jsonl
  • dataset_solve_translate.jsonl
  • dataset_solve_zindex.jsonl
  • dataset_symmetry.jsonl

Version 108

Added dataset

Datasets:

  • dataset_cellular_automaton.jsonl
  • dataset_dilation.jsonl
  • dataset_erotion.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 - added
  • dataset_solve_fractal.jsonl
  • dataset_solve_grid.jsonl
  • dataset_solve_half.jsonl
  • dataset_solve_mask.jsonl
  • dataset_solve_mass.jsonl
  • dataset_solve_outline.jsonl
  • dataset_solve_probecolor.jsonl
  • dataset_solve_ray.jsonl
  • dataset_solve_rotate.jsonl
  • dataset_solve_scale.jsonl
  • dataset_solve_symmetry.jsonl
  • dataset_solve_translate.jsonl
  • dataset_solve_zindex.jsonl
  • dataset_symmetry.jsonl

Version 109

Different random seed.

Version 110

Added dataset

Datasets:

  • dataset_cellular_automaton.jsonl
  • dataset_dilation.jsonl
  • dataset_erotion.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_grid.jsonl
  • dataset_solve_half.jsonl
  • dataset_solve_halfplane.jsonl - added
  • dataset_solve_mask.jsonl
  • dataset_solve_mass.jsonl
  • dataset_solve_outline.jsonl
  • dataset_solve_probecolor.jsonl
  • dataset_solve_ray.jsonl
  • dataset_solve_rotate.jsonl
  • dataset_solve_scale.jsonl
  • dataset_solve_symmetry.jsonl
  • dataset_solve_translate.jsonl
  • dataset_solve_zindex.jsonl
  • dataset_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.jsonl
  • dataset_dilation.jsonl
  • dataset_erotion.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 - added
  • 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_rotate.jsonl
  • dataset_solve_scale.jsonl
  • dataset_solve_symmetry.jsonl
  • dataset_solve_translate.jsonl
  • dataset_solve_zindex.jsonl
  • dataset_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.jsonl
  • dataset_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.

Version 195

Generated data.

Version 196

Increased the number of rows from 4000 to 8000.

Generated data.

Version 197

Generated data.

Version 198

Generated data.

Version 199

Generated data.

Version 200

Generated data.

Version 201

Generated data.

Version 202

Generated data.

Version 203

Generated data.

Added DatasetSolveMirror.

Version 204

Generated data.

Version 205

Smaller images. max image size 12.

Version 206

max image size 14.

Version 207

max image size 16.
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