Datasets:

neoneye
/

simon-arc-combine-v192

instruction stringclasses 407 values	input stringlengths 58 2.88k	output stringlengths 1 755	arc_task stringlengths 149 21.8k	test_index int64 0 1	benchmark stringclasses 602 values
simonsolveversion1, O3T, predict raw pixels	I0 3 4 7,,9a7,6a7 O0 1 2 7, I1 6 6 b63a4,6361a4,b63a4,4a6b4,b8b6,b8946 O1 2 3 64,,86 I2 6 6 b4b2,474252,b4585,412b5,b5b4, O2 2 3 42,45,54 I3T 3 2 9a5,5 O3T None I4T 3 6 7,2a7,0,1a0,0,1a0 O4T None	5	{"train":[{"input":[[7,7,7],[7,7,7],[9,7,7],[6,7,7]],"output":[[7],[7]]},{"input":[[6,6,6,3,4,4],[6,3,6,1,4,4],[6,6,6,3,4,4],[4,6,6,4,4,4],[8,8,8,6,6,6],[8,8,8,9,4,6]],"output":[[6,4],[6,4],[8,6]]},{"input":[[4,4,4,2,2,2],[4,7,4,2,5,2],[4,4,4,5,8,5],[4,1,2,5,5,5],[5,5,5,4,4,4],[5,5,5,4,4,4]],"output":[[4,2],[4,5],[5,4]...	0	dataset=solve_scale group=scale_x3down_y2down_noiserandom predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a
SIMON-SOLVE-V1 'O4T' predict the raw pixels	I0 6 6 9b040,c050,c060,0,a06b0,0 O0 6 6 906540,b0650,6b060,06c0,a06b0,0 I1 7 6 a064b0,8e0,6e0,0,,b01b0 O1 7 6 a064b0,8e0,6e0,01d0,a01c0,b01b0 I2 3 3 0,670,0 O2 3 3 7a0,670,0 I3 4 9 0,3b0,b05,0,,,08a0,0, O3 4 9 05a0,3050,b05,0,,8b0,08a0,0, I4T 6 4 b03a0,a03b0,6062a0,0 O4T None I5T 8 4 a01c06,0,c06b0,3f0 O5T None	630300 063000 606200 000000	{"train":[{"input":[[9,0,0,0,4,0],[0,0,0,0,5,0],[0,0,0,0,6,0],[0,0,0,0,0,0],[0,0,6,0,0,0],[0,0,0,0,0,0]],"output":[[9,0,6,5,4,0],[0,0,0,6,5,0],[6,0,0,0,6,0],[0,6,0,0,0,0],[0,0,6,0,0,0],[0,0,0,0,0,0]]},{"input":[[0,0,6,4,0,0,0],[8,0,0,0,0,0,0],[6,0,0,0,0,0,0],[0,0,0,0,0,0,0],[0,0,0,0,0,0,0],[0,0,0,1,0,0,0]],"output":[[0...	0	dataset=solve_gravity group=gravity_draw_bottomright_to_topleft predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a
SIMON-SOLVE-VERSION1 'O3T' predict the raw pixels	I0 1 1 5 O0 2 2 5, I1 1 1 2 O1 2 2 2, I2T 1 1 8 O2T None I3T 1 3 2,, O3T None	22 22 22 22 22 22	{"train":[{"input":[[5]],"output":[[5,5],[5,5]]},{"input":[[2]],"output":[[2,2],[2,2]]}],"test":[{"input":[[8]],"output":[[8,8],[8,8]]},{"input":[[2],[2],[2]],"output":[[2,2],[2,2],[2,2],[2,2],[2,2],[2,2]]}]}	1	dataset=solve_scale group=scale_x2up_y2up predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a
SIMON-SOLVE-V1 'O3T' predict the raw pixels	I0 6 9 7,a75b7,7,,b75a7,c757,7,a75b7, O0 6 9 75c7,5d7,75c7,7,,5d7,,7, I1 5 4 b757,c75,a75a7,c75 O1 5 4 a5757,c75,7, I2 5 5 5c7,7,75b7,,a75a7 O2 5 5 5c7,,,75b7,7 I3T 3 8 5a7,7,,757,7,,, O3T None I4T 7 5 d7a5,e75,7,5e7,e75 O4T None	577 777 577 777 777 777 777 777	{"train":[{"input":[[7,7,7,7,7,7],[7,7,5,7,7,7],[7,7,7,7,7,7],[7,7,7,7,7,7],[7,7,7,5,7,7],[7,7,7,7,5,7],[7,7,7,7,7,7],[7,7,5,7,7,7],[7,7,5,7,7,7]],"output":[[7,5,7,7,7,7],[5,7,7,7,7,7],[7,5,7,7,7,7],[7,7,7,7,7,7],[7,7,7,7,7,7],[5,7,7,7,7,7],[5,7,7,7,7,7],[7,7,7,7,7,7],[7,7,7,7,7,7]]},{"input":[[7,7,7,5,7],[7,7,7,7,5],[...	0	dataset=solve_gravity group=gravity_move_bottomright_to_topleft predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a
simonsolvev1, 'O4T', predict the raw pixels	I0 4 4 a2a6,,a6a2, O0 12 12 b6b2e6,,,b2h6,,,h6b2,,,e6b2b6,, I1 6 6 a6a2a6,,,,a6c2, O1 27 27 h6b2b6b2h6,,,,,,h6b2n6,,,h6b2b6b2h6,,,,,,h6b2n6,,,h6b2b6e2b6b2,,,,,,h6b2e6b2e6,, I2 4 6 2,,a2a6,,6, O2 12 27 6,,,b6b2b6b2,,,2,,,6,,,b6b2e6,,,e2e6,,,6,,,,,,,, I3T 6 4 a6a2a6,,a2a6a2, O3T None I4T 4 6 2,,a2a6,,6, O4T None	666666666666 666666666666 666666666666 666222666222 666222666222 666222666222 222222222222 222222222222 222222222222 666666666666 666666666666 666666666666 666222666666 666222666666 666222666666 222222666666 222222666666 222222666666 666666666666 666666666666 666666666666 666666666666 666666666666 666666666666 66666666...	{"train":[{"input":[[2,2,6,6],[2,2,6,6],[6,6,2,2],[6,6,2,2]],"output":[[6,6,6,2,2,2,6,6,6,6,6,6],[6,6,6,2,2,2,6,6,6,6,6,6],[6,6,6,2,2,2,6,6,6,6,6,6],[2,2,2,6,6,6,6,6,6,6,6,6],[2,2,2,6,6,6,6,6,6,6,6,6],[2,2,2,6,6,6,6,6,6,6,6,6],[6,6,6,6,6,6,6,6,6,2,2,2],[6,6,6,6,6,6,6,6,6,2,2,2],[6,6,6,6,6,6,6,6,6,2,2,2],[6,6,6,6,6,6,2,...	1	dataset=solve_fractal group=pattern_to_fractal predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=c
SIMON-SOLVE-V1 predict raw pixels for 'O4T'	I0 16 36 g4c9c4,,,,,,,,k4c9,,,,g4c9c4,,,,,,,,k4c9,,,,c9k4,,,,,,,,c4c9g4,,, O0 2 3 94,,49 I1 16 36 4,,,,c9c4c9c4,,,,9,,,,4,,,,g4c9c4,,,,g4g9,,,,4,,,,,,,,,,, O1 2 3 4,94,9 I2 36 16 k4c9c4c9k4,,,,k4c9s4,,,,k4c9c4g9c4c9,,,,k4c9g4c9g4,,, O2 3 2 949,9a4 I3 36 16 c4c9s4c9c4,,,,g9o4g9c4,,,,z44c9c4,,,,w4g9c4,,, O3 3 2 494,a94 I...	94 49 49	{"train":[{"input":[[4,4,4,4,4,4,4,4,9,9,9,9,4,4,4,4],[4,4,4,4,4,4,4,4,9,9,9,9,4,4,4,4],[4,4,4,4,4,4,4,4,9,9,9,9,4,4,4,4],[4,4,4,4,4,4,4,4,9,9,9,9,4,4,4,4],[4,4,4,4,4,4,4,4,9,9,9,9,4,4,4,4],[4,4,4,4,4,4,4,4,9,9,9,9,4,4,4,4],[4,4,4,4,4,4,4,4,9,9,9,9,4,4,4,4],[4,4,4,4,4,4,4,4,9,9,9,9,4,4,4,4],[4,4,4,4,4,4,4,4,4,4,4,4,9,9...	0	dataset=solve_fractal group=fractal_to_pattern predict=rawpixels earlier_prediction=none image_width=other image_height=other task_pixels=d
SIMONSOLVEVERSION1 'O2T' predict the raw pixels	I0 6 6 b0b8,,,b8b0,, O0 4 4 b80,a808,80a8,0b8 I1 6 9 b8b0,,,0,,,8,, O1 4 9 0b8,8,a0a8,8,,,0808,8,0 I2T 6 6 b8b0,,,b0b8,, O2T None I3T 6 9 b0b8,,,0,,,8,, O3T None	0888 8088 8808 8880	{"train":[{"input":[[0,0,0,8,8,8],[0,0,0,8,8,8],[0,0,0,8,8,8],[8,8,8,0,0,0],[8,8,8,0,0,0],[8,8,8,0,0,0]],"output":[[8,8,8,0],[8,8,0,8],[8,0,8,8],[0,8,8,8]]},{"input":[[8,8,8,0,0,0],[8,8,8,0,0,0],[8,8,8,0,0,0],[0,0,0,0,0,0],[0,0,0,0,0,0],[0,0,0,0,0,0],[8,8,8,8,8,8],[8,8,8,8,8,8],[8,8,8,8,8,8]],"output":[[0,8,8,8],[8,8,8...	0	dataset=solve_fractal group=pattern_to_fractal predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a
simon-solve-version1, O4T, predict raw pixels	I0 13 14 81d81d8,b81g38,b81g31,c8g38,1b8g38,c8g38,1a81g38,a818g38,8a183f78,1b83f78,a8a1g38,18181f81,g8b1a8,a81a8b181b8 O0 13 14 6,c6g76,,,,,,,,,,6,, I1 14 9 b181b8181b8,8f3a73a18,8f3a73818,8f3a738a1,8f3a731a8,8f3a73a81,1i3b1,8i31a8,1d8b1a81a8 O1 14 9 6,6i7b6,,,,,,,6 I2 10 6 g818,a8d3b8,8a7c3b8,,8a7a81c8,8 O2 10 6 6,a6d...	6666666 7776666 7776666 7776666 7776666 7776666 7776666 7776666 7776666 7776666	{"train":[{"input":[[8,1,8,8,8,8,8,1,8,8,8,8,8],[8,8,8,1,3,3,3,3,3,3,3,3,8],[8,8,8,1,3,3,3,3,3,3,3,3,1],[8,8,8,8,3,3,3,3,3,3,3,3,8],[1,8,8,8,3,3,3,3,3,3,3,3,8],[8,8,8,8,3,3,3,3,3,3,3,3,8],[1,8,8,1,3,3,3,3,3,3,3,3,8],[8,8,1,8,3,3,3,3,3,3,3,3,8],[8,1,1,8,3,7,7,7,7,7,7,7,8],[1,8,8,8,3,7,7,7,7,7,7,7,8],[8,8,1,1,3,3,3,3,3,3...	0	dataset=solve_zindex group=mask_of_obscured_rectangle predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
Simon-Solve-V1 predict pixels for O3T	I0 11 6 6,,b67484b86,b684a82a46,6, O0 14 2 a42a84a84a82a4,b8484a7484b8 I1 7 12 6,,a6a2b6,a6a1b6,a681b6,,a648b6,a608b6,a618b6,a601b6,6, O1 4 8 1a01,8a18,8a08,8a48,1a81,,1,2 I2 12 13 6,,,6d90a9b6,690a9a0a9b6,6a903a9a0b6,691803a90b6,6a05a8590b6,690959859b6,6b095b9b6,6b9090a9b6,6, O2 16 8 a9090e9090a9,b959e095b9,9589590a90...	1155957557595511 1549171551719451 5400555115550045 5555003553005555 5555155555515555	{"train":[{"input":[[6,6,6,6,6,6,6,6,6,6,6],[6,6,6,6,6,6,6,6,6,6,6],[6,6,6,7,4,8,4,8,8,8,6],[6,6,6,8,4,8,8,2,4,4,6],[6,6,6,6,6,6,6,6,6,6,6],[6,6,6,6,6,6,6,6,6,6,6]],"output":[[4,4,2,8,8,4,8,8,4,8,8,2,4,4],[8,8,8,4,8,4,7,7,4,8,4,8,8,8]]},{"input":[[6,6,6,6,6,6,6],[6,6,6,6,6,6,6],[6,6,2,2,6,6,6],[6,6,1,1,6,6,6],[6,6,8,1,...	0	dataset=solve_symmetry group=rect hstack(180 flipy) padded predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b
SIMON-SOLVE-VERSION1 'O4T' predict the pixels	I0 6 9 1,2d1,1,,a183a1,d13,1,,19c1 O0 6 9 298313,1,,,,,,, I1 6 7 2b121,1,,,d18,a15a15,1 O1 6 7 215128,d15,1,,,, I2 3 8 1,2a1,1,,181,1,, O2 3 8 281,1,,,,,, I3 5 8 a10a1,1,b181,1,18b1,b131,1, O3 5 8 18081,b131,1,,,,, I4T 4 8 1,,,,,a131,a191,a151 O4T None	1131 1191 1151 1111 1111 1111 1111 1111	{"train":[{"input":[[1,1,1,1,1,1],[2,1,1,1,1,1],[1,1,1,1,1,1],[1,1,1,1,1,1],[1,1,8,3,1,1],[1,1,1,1,1,3],[1,1,1,1,1,1],[1,1,1,1,1,1],[1,9,1,1,1,1]],"output":[[2,9,8,3,1,3],[1,1,1,1,1,1],[1,1,1,1,1,1],[1,1,1,1,1,1],[1,1,1,1,1,1],[1,1,1,1,1,1],[1,1,1,1,1,1],[1,1,1,1,1,1],[1,1,1,1,1,1]]},{"input":[[2,1,1,1,2,1],[1,1,1,1,1,...	0	dataset=solve_gravity group=gravity_move_bottom_to_top predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a
SIMON-SOLVE-VERSION1, O5T, predict pixels	I0 6 9 b40a4,4,c404,4,a0c4,4,,0b404,4 O0 4 18 59a6,a572,9376,59a6,a572,9376,59a6,a572,9376,59a6,a572,9376,59a6,a572,9376,59a6,a572,9376 I1 6 12 40b40,0d4,4,,40c4,0d4,c404,4,,,, O1 4 18 59a6,a572,9376,59a6,a572,9376,59a6,a572,9376,59a6,a572,9376,59a6,a572,9376,59a6,a572,9376 I2 6 12 4,d40,a40b4,4,d40,c404,4,,,,, O2 4 12...	5966 5572 9376 5966 5572 9376 5966 5572 9376 5966 5572 9376 5966 5572 9376 5966 5572 9376	{"train":[{"input":[[4,4,4,0,4,4],[4,4,4,4,4,4],[4,4,4,4,0,4],[4,4,4,4,4,4],[0,0,4,4,4,4],[4,4,4,4,4,4],[4,4,4,4,4,4],[0,4,4,4,0,4],[4,4,4,4,4,4]],"output":[[5,9,6,6],[5,5,7,2],[9,3,7,6],[5,9,6,6],[5,5,7,2],[9,3,7,6],[5,9,6,6],[5,5,7,2],[9,3,7,6],[5,9,6,6],[5,5,7,2],[9,3,7,6],[5,9,6,6],[5,5,7,2],[9,3,7,6],[5,9,6,6],[5,...	1	dataset=solve_count group=count_pixels_and_repeat_output_pattern repeat_y predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b
Simon-Solve-V1, 'O2T', predict the raw pixels	I0 7 1 43b7a6 O0 7 3 43b7a6,, I1 1 1 0 O1 1 3 0,, I2T 2 2 4,72 O2T None	44 44 44 72 72 72	{"train":[{"input":[[4,3,7,7,7,6,6]],"output":[[4,3,7,7,7,6,6],[4,3,7,7,7,6,6],[4,3,7,7,7,6,6]]},{"input":[[0]],"output":[[0],[0],[0]]}],"test":[{"input":[[4,4],[7,2]],"output":[[4,4],[4,4],[4,4],[7,2],[7,2],[7,2]]}]}	0	dataset=solve_scale group=scale_x1_y3up predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a
SIMONSOLVEV1, 'O4T', predict the raw pixels	I0 3 3 232,3a2,2a3 O0 9 9 b2323b2,c2a3b2,b23d2,323e2,2a3e2,3g2,b232a323,c2a32a3,b23a23a2 I1 3 3 323,a32,2 O1 9 9 23d232,a23d23,b3b2b3,23a23c2,a23a23b2,e3b2,2,, I2 2 3 2,3,32 O2 4 9 2,,,3,2,2323,a3a2,2,23a2 I3 3 3 a23,,a32 O3 9 9 e2a32,,g23,e2a32,,g23,a32a3c2,,a23a23b2 I4T 2 3 2,32,3 O4T None	2222 2222 2222 3322 2322 2222 3333 2323 2222	{"train":[{"input":[[2,3,2],[3,2,2],[2,3,3]],"output":[[2,2,2,3,2,3,2,2,2],[2,2,2,2,3,3,2,2,2],[2,2,2,3,2,2,2,2,2],[3,2,3,2,2,2,2,2,2],[2,3,3,2,2,2,2,2,2],[3,2,2,2,2,2,2,2,2],[2,2,2,3,2,3,3,2,3],[2,2,2,2,3,3,2,3,3],[2,2,2,3,2,2,3,2,2]]},{"input":[[3,2,3],[3,3,2],[2,2,2]],"output":[[2,3,2,2,2,2,2,3,2],[2,2,3,2,2,2,2,2,3...	0	dataset=solve_fractal group=pattern_to_fractal predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a
simon-solve-v1 predict raw pixels for O4T	I0 2 13 7,73,53,,3,32,34,,,74,7,, O0 2 1 72 I1 7 11 2b6026,20b621,a0a2891,2a62916,b69816,0896186,a628186,6201a60,20212a6,6a0a202,0a60a26 O1 2 1 69 I2 17 6 6a1730a6c0607a0,060a1736d06a76,07b0a17a3a06b06,c06a0a17a367b0,06a07b06a17a37a0,7d5e706070 O2 2 1 05 I3T 2 21 74,23,3,42,27,34,37,34,23,3,,43,3,20,03,,,02,03,73,24 O3...	98	{"train":[{"input":[[7,7],[7,3],[5,3],[5,3],[3,3],[3,2],[3,4],[3,4],[3,4],[7,4],[7,7],[7,7],[7,7]],"output":[[7,2]]},{"input":[[2,6,6,6,0,2,6],[2,0,6,6,6,2,1],[0,0,2,2,8,9,1],[2,6,6,2,9,1,6],[6,6,6,9,8,1,6],[0,8,9,6,1,8,6],[6,6,2,8,1,8,6],[6,2,0,1,6,6,0],[2,0,2,1,2,6,6],[6,0,0,2,2,0,2],[0,6,6,0,2,2,6]],"output":[[6,9]]...	1	dataset=solve_color group=identify_most_and_least_popular_colors rotate_0 predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=a
simonsolvev1, 'O3T', predict the pixels	I0 10 7 b96a481a9,b948741a9,b974761a9,90974167a9,b984a67a9,b9474a7a9,9 O0 5 6 6a481,48741,74761,74167,84a67,474a7 I1 5 11 9,,a90a9,9a636,9a634,96a36,96146,9,,,c90 O1 8 4 a63b636,a634a634,6a3a6a36,614a6146 I2 28 18 o90j9,9,,,,,,,i90p9,9,,d90u9,t9a5a2859,t95252859,t9a525a89,,j90h9d589,t9525b69 O2 24 6 a5a28b5a28b5a28b5a2...	888811888811888811888811888811 887811887811887811887811887811 881181881181881181881181881181 218612218612218612218612218612 188818188818188818188818188818	{"train":[{"input":[[9,9,9,6,4,4,8,1,9,9],[9,9,9,4,8,7,4,1,9,9],[9,9,9,7,4,7,6,1,9,9],[9,0,9,7,4,1,6,7,9,9],[9,9,9,8,4,6,6,7,9,9],[9,9,9,4,7,4,7,7,9,9],[9,9,9,9,9,9,9,9,9,9]],"output":[[6,4,4,8,1],[4,8,7,4,1],[7,4,7,6,1],[7,4,1,6,7],[8,4,6,6,7],[4,7,4,7,7]]},{"input":[[9,9,9,9,9],[9,9,9,9,9],[9,9,0,9,9],[9,6,6,3,6],[9,...	0	dataset=solve_count group=count_pixels_and_repeat_input_pattern repeat_x predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=c
simonsolveversion1, 'O3T', predict the pixels	I0 3 2 454,564 O0 6 6 a4a5a4,,,a5a6a4,, I1 3 1 3a5 O1 6 3 a3c5,, I2 1 2 7, O2 2 6 7,,,,, I3T 2 1 1 O3T None	1111 1111 1111	{"train":[{"input":[[4,5,4],[5,6,4]],"output":[[4,4,5,5,4,4],[4,4,5,5,4,4],[4,4,5,5,4,4],[5,5,6,6,4,4],[5,5,6,6,4,4],[5,5,6,6,4,4]]},{"input":[[3,5,5]],"output":[[3,3,5,5,5,5],[3,3,5,5,5,5],[3,3,5,5,5,5]]},{"input":[[7],[7]],"output":[[7,7],[7,7],[7,7],[7,7],[7,7],[7,7]]}],"test":[{"input":[[1,1]],"output":[[1,1,1,1],[...	0	dataset=solve_scale group=scale_x2up_y3up predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a
SIMON-SOLVE-VERSION1, O2T, predict pixels	I0 6 6 8,,,a0a1a0,, O0 3 2 8,010 I1 6 3 c9a3,, O1 3 1 a93 I2T 2 6 4,,,0,, O2T None	4 0	{"train":[{"input":[[8,8,8,8,8,8],[8,8,8,8,8,8],[8,8,8,8,8,8],[0,0,1,1,0,0],[0,0,1,1,0,0],[0,0,1,1,0,0]],"output":[[8,8,8],[0,1,0]]},{"input":[[9,9,9,9,3,3],[9,9,9,9,3,3],[9,9,9,9,3,3]],"output":[[9,9,3]]}],"test":[{"input":[[4,4],[4,4],[4,4],[0,0],[0,0],[0,0]],"output":[[4],[0]]}]}	0	dataset=solve_scale group=scale_x2down_y3down predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a
SIMON-SOLVE-VERSION1, O3T, predict raw pixels	I0 6 4 5,959b5,b5a95,5 O0 6 4 5,b9b5,d95,5 I1 9 9 5,,a59e5,5,,,,e59a5,5 O1 9 9 5,,b9e5,5,,,,f9a5,5 I2 9 3 d59595,5, O2 9 3 g95,5, I3T 5 9 5,,,59b5,5,a59a5,5,,b5a9 O3T None	55555 55555 55555 99555 55555 99955 55555 55555 99999	{"train":[{"input":[[5,5,5,5,5,5],[9,5,9,5,5,5],[5,5,5,9,9,5],[5,5,5,5,5,5]],"output":[[5,5,5,5,5,5],[9,9,9,5,5,5],[9,9,9,9,9,5],[5,5,5,5,5,5]]},{"input":[[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],[5,5,5,5,5,5,9,5,5],[5,5,...	0	dataset=solve_gravity group=gravity_draw_right_to_left predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a
simonsolvev1 predict pixels for 'O4T'	I0 10 4 4,,a4a3e4,4 O0 8 2 284a2842,89828982 I1 13 10 4,,,g4343a4,b43h4,4,,,j434,d43f4 O1 20 2 284a284a284a284a2842,89828982898289828982 I2 7 4 c43a4,d434,4,b43434 O2 16 2 284a284a284a2842,8982898289828982 I3 5 8 43b4,4,,c43,4,a43a4,4,3c4 O3 16 2 284a284a284a2842,8982898289828982 I4T 4 13 4,,,,,,,,,,a434,4, O4T None	2842 8982	{"train":[{"input":[[4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4],[4,4,3,3,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4]],"output":[[2,8,4,2,2,8,4,2],[8,9,8,2,8,9,8,2]]},{"input":[[4,4,4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,3,4,3,4,4],[4,4,4,3,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,...	0	dataset=solve_count group=count_pixels_and_repeat_output_pattern repeat_x predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=a
simonsolvev1, O5T, predict pixels	I0 4 3 a282,82a8,8 O0 4 16 7a38,5a78,5457,4b5,7a38,5a78,5457,4b5,7a38,5a78,5457,4b5,7a38,5a78,5457,4b5 I1 6 5 c828,a8a2a8,8,82b82,b82a8 O1 4 24 7a38,5a78,5457,4b5,7a38,5a78,5457,4b5,7a38,5a78,5457,4b5,7a38,5a78,5457,4b5,7a38,5a78,5457,4b5,7a38,5a78,5457,4b5 I2 14 14 8,,82k8,8,,,,c82c8282a8,8,,g82d8,82k8,8, O2 4 24 7a38...	7338 5778 5457 4555 7338 5778 5457 4555 7338 5778 5457 4555	{"train":[{"input":[[2,2,8,2],[8,2,8,8],[8,8,8,8]],"output":[[7,3,3,8],[5,7,7,8],[5,4,5,7],[4,5,5,5],[7,3,3,8],[5,7,7,8],[5,4,5,7],[4,5,5,5],[7,3,3,8],[5,7,7,8],[5,4,5,7],[4,5,5,5],[7,3,3,8],[5,7,7,8],[5,4,5,7],[4,5,5,5]]},{"input":[[8,8,8,8,2,8],[8,8,2,2,8,8],[8,8,8,8,8,8],[8,2,8,8,8,2],[8,8,8,2,8,8]],"output":[[7,3,3...	1	dataset=solve_count group=count_pixels_and_repeat_output_pattern repeat_y predict=rawpixels earlier_prediction=none image_width=medium image_height=large task_pixels=b
simonsolveversion1 predict pixels for 'O4T'	I0 15 10 d1i7,,,,,i1d7,,,, O0 18 8 e7a1c7a1c7,,e7c1a7c1a7,,k7a1c7,,k7c1a7, I1 15 15 d7i1,,,,,i1d7,,,,,d1i7,,,, O1 18 18 a7c1k7,,c1m7,,a1o7,,m7c1,,k7c1a7,,k7a1c7,,g7c1a7c1,,e7c1a7c1a7,,e7a1c7a1c7, I2 10 15 d1d7,,,,,d7d1,,,,,d1d7,,,, O2 8 18 c7a1a7,,e7a1,,c7a1a7,,a1e7,,a7a1c7,,a1e7,,c7a1a7,,e7a1,,c7a1a7, I3T 10 10 d7d1,,...	77771177 77771177 77777777 77777777 77771111 77771111 11771177 11771177 77777777 77777777 11111111 11111111 77777777 77777777 77777777 77777777 77777777 77777777	{"train":[{"input":[[1,1,1,1,1,7,7,7,7,7,7,7,7,7,7],[1,1,1,1,1,7,7,7,7,7,7,7,7,7,7],[1,1,1,1,1,7,7,7,7,7,7,7,7,7,7],[1,1,1,1,1,7,7,7,7,7,7,7,7,7,7],[1,1,1,1,1,7,7,7,7,7,7,7,7,7,7],[1,1,1,1,1,1,1,1,1,1,7,7,7,7,7],[1,1,1,1,1,1,1,1,1,1,7,7,7,7,7],[1,1,1,1,1,1,1,1,1,1,7,7,7,7,7],[1,1,1,1,1,1,1,1,1,1,7,7,7,7,7],[1,1,1,1,1,1...	1	dataset=solve_fractal group=pattern_to_fractal predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
SIMON-SOLVE-VERSION1 predict pixels for O5T	I0 14 20 b02020f2,e3a6e3,3a636c3c63,a36a3a636b363,36a36b363a6a3,36363a63636363,36c3636a36a3,b363a6a3a6363,3b6b3a6b363,a3a6a363636363,a6a36363636363,a36b3636a36a3,363a636a3b636,a636b3a6a3a63,36363b63636a3,b363636363636,36b36d36a3,363a63b63a636,l36,0 O0 14 20 b02020f2,b030306e3,e36a3c63,3a63a6a36b363,a36b36363a6a3,363b6a...	222020020002022002 336060030003033003 363633363333663633 333666336636363636 366363663363336333 336363333636336363 336363663633366633 636363333633366663 333633633666636633 663363636333336363 663633636363636336 363633666363663633 363636333636363633 363663663633336363 363363633663336663 633636363333633333 0003033033606006...	{"train":[{"input":[[0,0,0,2,0,2,0,2,2,2,2,2,2,2],[3,3,3,3,3,3,6,6,3,3,3,3,3,3],[3,6,6,3,6,3,3,3,3,6,6,6,6,3],[3,3,6,3,3,6,6,3,6,3,3,3,6,3],[3,6,3,3,6,3,3,3,6,3,6,6,3,3],[3,6,3,6,3,6,6,3,6,3,6,3,6,3],[3,6,3,3,3,3,6,3,6,3,3,6,3,3],[3,3,3,6,3,6,6,3,3,6,6,3,6,3],[3,6,6,6,3,3,3,6,6,3,3,3,6,3],[3,3,6,6,3,3,6,3,6,3,6,3,6,3],...	1	dataset=solve_deform group=deform_line rotate_3 displacement_-1 predict=rawpixels earlier_prediction=none image_width=medium image_height=large task_pixels=d
SIMON-SOLVE-V1 predict raw pixels for 'O2T'	I0 4 4 a263,,2843, O0 4 2 a263,2843 I1 3 4 7a6,,6a8, O1 3 2 7a6,6a8 I2T 4 4 6731,,6753, O2T None	6731 6753	{"train":[{"input":[[2,2,6,3],[2,2,6,3],[2,8,4,3],[2,8,4,3]],"output":[[2,2,6,3],[2,8,4,3]]},{"input":[[7,6,6],[7,6,6],[6,8,8],[6,8,8]],"output":[[7,6,6],[6,8,8]]}],"test":[{"input":[[6,7,3,1],[6,7,3,1],[6,7,5,3],[6,7,5,3]],"output":[[6,7,3,1],[6,7,5,3]]}]}	0	dataset=solve_scale group=scale_x1_y2down predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a
simonsolvev1 predict pixels for 'O3T'	I0 3 2 a53,5a3 O0 6 2 c5a3,a5c3 I1 1 4 2,,, O1 2 4 2,,, I2 2 1 1 O2 4 1 1 I3T 1 4 5,,, O3T None	55 55 55 55	{"train":[{"input":[[5,5,3],[5,3,3]],"output":[[5,5,5,5,3,3],[5,5,3,3,3,3]]},{"input":[[2],[2],[2],[2]],"output":[[2,2],[2,2],[2,2],[2,2]]},{"input":[[1,1]],"output":[[1,1,1,1]]}],"test":[{"input":[[5],[5],[5],[5]],"output":[[5,5],[5,5],[5,5],[5,5]]}]}	0	dataset=solve_scale group=scale_x2up_y1 predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a
SIMONSOLVEV1, 'O4T', predict the raw pixels	I0 5 9 9,,,,a93a9,,93b9,9, O0 5 9 9,,c93,,b939,9,,, I1 3 8 9,,,,393,9,, O1 3 8 9,,a93,9,a93,9,, I2 4 6 9,93a9,a939,,9, O2 4 6 a939,b93,,9,, I3T 8 5 d93a9,3f9,9,c93b9,9 O3T None I4T 9 4 a93e9,9,3g9,3b9a3b9 O4T None	993399933 939999999 999999999 999999999	{"train":[{"input":[[9,9,9,9,9],[9,9,9,9,9],[9,9,9,9,9],[9,9,9,9,9],[9,9,3,9,9],[9,9,3,9,9],[9,3,9,9,9],[9,9,9,9,9],[9,9,9,9,9]],"output":[[9,9,9,9,9],[9,9,9,9,9],[9,9,9,9,3],[9,9,9,9,3],[9,9,9,3,9],[9,9,9,9,9],[9,9,9,9,9],[9,9,9,9,9],[9,9,9,9,9]]},{"input":[[9,9,9],[9,9,9],[9,9,9],[9,9,9],[3,9,3],[9,9,9],[9,9,9],[9,9,...	1	dataset=solve_gravity group=gravity_move_bottomleft_to_topright predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a
SIMONSOLVEVERSION1, O5T, predict pixels	I0 10 11 1,,a15f1,1,a15f1,1,f15a1,1,,b15e1,15g1 O0 4 25 4a59,7495,7945,7954,7a59,4a59,7495,7945,7954,7a59,4a59,7495,7945,7954,7a59,4a59,7495,7945,7954,7a59,4a59,7495,7945,7954,7a59 I1 8 4 1,5f1,a15a15a1,e151 O1 4 20 4a59,7495,7945,7954,7a59,4a59,7495,7945,7954,7a59,4a59,7495,7945,7954,7a59,4a59,7495,7945,7954,7a59 I2 6...	4559 7495 7945 7954 7559 4559 7495 7945 7954 7559 4559 7495 7945 7954 7559 4559 7495 7945 7954 7559	{"train":[{"input":[[1,1,1,1,1,1,1,1,1,1],[1,1,1,1,1,1,1,1,1,1],[1,1,5,1,1,1,1,1,1,1],[1,1,1,1,1,1,1,1,1,1],[1,1,5,1,1,1,1,1,1,1],[1,1,1,1,1,1,1,1,1,1],[1,1,1,1,1,1,1,5,1,1],[1,1,1,1,1,1,1,1,1,1],[1,1,1,1,1,1,1,1,1,1],[1,1,1,5,1,1,1,1,1,1],[1,5,1,1,1,1,1,1,1,1]],"output":[[4,5,5,9],[7,4,9,5],[7,9,4,5],[7,9,5,4],[7,5,5,...	1	dataset=solve_count group=count_pixels_and_repeat_output_pattern repeat_y predict=rawpixels earlier_prediction=none image_width=small image_height=large task_pixels=b
simonsolvev1 predict raw pixels for 'O5T'	I0 3 4 7,727,707,7 O0 3 4 7,a72,a70,7 I1 6 3 7,7843a7,8d7 O1 6 3 7,b7843,d78 I2 9 4 c78c7,b789c7,7,c73c7 O2 9 4 g78,f789,7,g73 I3 4 6 76a7,7,,,2b7,9b7 O3 4 6 b76,7,,,b72,b79 I4T 6 9 c787,7,,,d73,7,a74b7,7472a7,7 O4T None I5T 4 3 7,,2706 O5T None	7777 7777 7206	{"train":[{"input":[[7,7,7],[7,2,7],[7,0,7],[7,7,7]],"output":[[7,7,7],[7,7,2],[7,7,0],[7,7,7]]},{"input":[[7,7,7,7,7,7],[7,8,4,3,7,7],[8,7,7,7,7,7]],"output":[[7,7,7,7,7,7],[7,7,7,8,4,3],[7,7,7,7,7,8]]},{"input":[[7,7,7,7,8,7,7,7,7],[7,7,7,8,9,7,7,7,7],[7,7,7,7,7,7,7,7,7],[7,7,7,7,3,7,7,7,7]],"output":[[7,7,7,7,7,7,7,...	1	dataset=solve_gravity group=gravity_move_left_to_right predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a
SIMON-SOLVE-V1 'O3T' predict the raw pixels	I0 4 22 6b5,,67a5,,6576,,6565,,3a65,5a65,56a5,,,,a6a5,61a5,6b5,3b5,5a35,5,a3a5,a5a3 O0 4 22 6b1,,67a1,,6176,,6161,,3a61,1a61,16a1,,,,a6a1,65a1,6b1,3b1,1a31,1,a3a1,a1a3 I1 11 5 a40b9647a8,70a9a6a9b1,74a9d407,0a9b40c4,79470a4a704 O1 11 5 a80b9687a4,70a9a6a9b1,78a9d807,0a9b80c8,79870a8a708 I2 8 4 1,1a2d1,b12c1,21212b1 O2 ...	999999999999 599959999999 995959999999 999959999999 999995599999 999995579999 599995999959 999955599999 995599999999 959999559999 999999999999	{"train":[{"input":[[6,5,5,5],[6,5,5,5],[6,7,5,5],[6,7,5,5],[6,5,7,6],[6,5,7,6],[6,5,6,5],[6,5,6,5],[3,6,6,5],[5,6,6,5],[5,6,5,5],[5,6,5,5],[5,6,5,5],[5,6,5,5],[6,6,5,5],[6,1,5,5],[6,5,5,5],[3,5,5,5],[5,3,3,5],[5,5,5,5],[3,3,5,5],[5,5,3,3]],"output":[[6,1,1,1],[6,1,1,1],[6,7,1,1],[6,7,1,1],[6,1,7,6],[6,1,7,6],[6,1,6,1]...	0	dataset=solve_color group=swap_most_and_least_popular_colors predict=rawpixels earlier_prediction=none image_width=medium image_height=large task_pixels=b
Simon-Solve-V1, 'O3T', predict the raw pixels	I0 11 12 9,,,,,,,92d9a2a9,9,a92g9,9, O0 1 12 9,,,,,,,,,,, I1 4 12 9,,2b9,9,,,b92,9a29,9,,92a9,2b9 O1 1 18 9,,,,,,,,,,,,,,,,, I2 11 11 b92f9,9,,,i92,e92c9,9,h929,9,b92f9,9 O2 1 15 9,,,,,,,,,,,,,, I3T 13 9 9,,b92h9,9,,a92e92b9,9,, O3T None I4T 4 4 b92,9,a2a9,a929 O4T None	9 9 9 9 9 9 9 9 9	{"train":[{"input":[[9,9,9,9,9,9,9,9,9,9,9],[9,9,9,9,9,9,9,9,9,9,9],[9,9,9,9,9,9,9,9,9,9,9],[9,9,9,9,9,9,9,9,9,9,9],[9,9,9,9,9,9,9,9,9,9,9],[9,9,9,9,9,9,9,9,9,9,9],[9,9,9,9,9,9,9,9,9,9,9],[9,2,9,9,9,9,9,2,2,9,9],[9,9,9,9,9,9,9,9,9,9,9],[9,9,2,9,9,9,9,9,9,9,9],[9,9,9,9,9,9,9,9,9,9,9],[9,9,9,9,9,9,9,9,9,9,9]],"output":[[...	0	dataset=solve_count group=count_pixels_and_repeat_output_pattern repeat_y predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=a
Simon-Solve-Version1, 'O3T', predict the pixels	I0 14 10 2,,f2a6d2,f2a5d2,f256d2,2,,,, O0 4 9 6,5,5656,5,,,a5a6,5,b56 I1 14 10 2,,,,e265e2,e256e2,2,,, O1 4 4 6b5,56a5,a565,b56 I2 12 7 2,,,f2a56a2,f2a65a2,f2a56a2,2 O2 9 9 g56,e5a65,g56,a56a56b5,a65a6c5,a56a56b5,g56,e5a65,g56 I3T 14 12 2,,,,,e26a5d2,e2656d2,e2565d2,2,,, O3T None	655555555 656555555 565555555 655555655 656555656 565555565 555655555 555656555 555565555	{"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],[2,2,2,2,2,2,2,6,6,2,2,2,2,2],[2,2,2,2,2,2,2,5,5,2,2,2,2,2],[2,2,2,2,2,2,2,5,6,2,2,2,2,2],[2,2,2,2,2,2,2,2,2,2,2,2,2,2],[2,2,2,2,2,2,2,2,2,2,2,2,2,2],[2,2,2,2,2,2,2,2,2,2,2,2,2,2],[2,2,2,2,2,2,2,2,2,2,2,2,2,2],[2,2,2,2,2,2,2,2,2,2,2,2,2,2]]...	0	dataset=solve_fractal group=pattern_to_fractal predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b
simonsolveversion1, 'O2T', predict the pixels	I0 14 12 41b4b1b7a14,g1b7414,g1b7141,g5b7a54,g5b7a51,g5b7a54,,g5b7a51,4b1b41b71a4,41b4a14b71a4,4a14c1b7a14,a141a4a1b7b4 O0 14 12 3,,,l83,,,,,3,,, I1 14 10 5,,,5j7a5,,,,,,5 O1 14 10 8,,,,,,,,, I2T 10 8 5,,,,b5e75,,, O2T None	8888888888 8888888888 8888888888 8888888888 8888888888 8888888888 8888888888 8888888888	{"train":[{"input":[[4,1,4,4,4,1,1,1,7,7,7,1,1,4],[1,1,1,1,1,1,1,1,7,7,7,4,1,4],[1,1,1,1,1,1,1,1,7,7,7,1,4,1],[5,5,5,5,5,5,5,5,7,7,7,5,5,4],[5,5,5,5,5,5,5,5,7,7,7,5,5,1],[5,5,5,5,5,5,5,5,7,7,7,5,5,4],[5,5,5,5,5,5,5,5,7,7,7,5,5,4],[5,5,5,5,5,5,5,5,7,7,7,5,5,1],[4,1,1,1,4,4,4,1,7,7,7,1,4,4],[4,1,4,4,4,1,1,4,7,7,7,1,4,4],...	0	dataset=solve_zindex group=mask_of_obscured_rectangle predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b
Simon-Solve-Version1 predict pixels for 'O5T'	I0 15 18 8a46i48,846a46a46464648,846464b64b645,8b4a6b46c45,84b6a46464a645,8d4a646c45,8c6a464646468,8d46a46b468,84a646464a64a65,84646b46d48,846a4b64c645,84646a4646c48,846464646a4a645,846464646464645,8464646b464648,84a6b4e648,8a464a6d4648,8i46a45 O0 15 18 8a46i48,846a46a46464648,4846464b64b65,48b4a6b46b45,484b6a46464a65,...	4864644444464444445 8446466664646466648 8646644464644664648 8664466444644644648 8464644666646466648 8444666444446444448 8644444464664466648 6866464646464644445 8644464464646464668 4864664464446646445 8644464446444444448	{"train":[{"input":[[8,4,4,6,4,4,4,4,4,4,4,4,4,4,8],[8,4,6,4,4,6,4,4,6,4,6,4,6,4,8],[8,4,6,4,6,4,6,6,6,4,6,6,6,4,5],[8,4,4,4,6,6,4,4,4,6,4,4,4,4,5],[8,4,6,6,6,4,4,6,4,6,4,6,6,4,5],[8,4,4,4,4,4,6,6,4,6,4,4,4,4,5],[8,6,6,6,6,4,4,6,4,6,4,6,4,6,8],[8,4,4,4,4,4,6,4,4,6,4,4,4,6,8],[8,4,6,6,4,6,4,6,4,6,6,4,6,6,5],[8,4,6,4,6,4...	1	dataset=solve_deform group=deform_line rotate_2 displacement_1 predict=rawpixels earlier_prediction=none image_width=medium image_height=large task_pixels=d
simonsolvev1 predict pixels for O4T	I0 2 4 57,,67,90 O0 6 4 b5b7,,b6b7,b9b0 I1 2 5 08,05,85,7,58 O1 6 5 b0b8,b0b5,b8b5,7,b5b8 I2 2 7 56,28,58,68,27,5,52 O2 6 7 b5b6,b2b8,b5b8,b6b8,b2b7,5,b5b2 I3T 1 6 9,2,,,0,9 O3T None I4T 1 6 5,,,,, O4T None	555 555 555 555 555 555	{"train":[{"input":[[5,7],[5,7],[6,7],[9,0]],"output":[[5,5,5,7,7,7],[5,5,5,7,7,7],[6,6,6,7,7,7],[9,9,9,0,0,0]]},{"input":[[0,8],[0,5],[8,5],[7,7],[5,8]],"output":[[0,0,0,8,8,8],[0,0,0,5,5,5],[8,8,8,5,5,5],[7,7,7,7,7,7],[5,5,5,8,8,8]]},{"input":[[5,6],[2,8],[5,8],[6,8],[2,7],[5,5],[5,2]],"output":[[5,5,5,6,6,6],[2,2,2,...	1	dataset=solve_scale group=scale_x3up_y1 predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a
SIMON-SOLVE-VERSION1 predict raw pixels for 'O3T'	I0 2 13 7,73,53,,3,32,34,,,74,7,, O0 2 1 72 I1 7 11 2b6026,20b621,a0a2891,2a62916,b69816,0896186,a628186,6201a60,20212a6,6a0a202,0a60a26 O1 2 1 69 I2 17 6 6a1730a6c0607a0,060a1736d06a76,07b0a17a3a06b06,c06a0a17a367b0,06a07b06a17a37a0,7d5e706070 O2 2 1 05 I3T 2 21 74,23,3,42,27,34,37,34,23,3,,43,3,20,03,,,02,03,73,24 O3...	37	{"train":[{"input":[[7,7],[7,3],[5,3],[5,3],[3,3],[3,2],[3,4],[3,4],[3,4],[7,4],[7,7],[7,7],[7,7]],"output":[[7,2]]},{"input":[[2,6,6,6,0,2,6],[2,0,6,6,6,2,1],[0,0,2,2,8,9,1],[2,6,6,2,9,1,6],[6,6,6,9,8,1,6],[0,8,9,6,1,8,6],[6,6,2,8,1,8,6],[6,2,0,1,6,6,0],[2,0,2,1,2,6,6],[6,0,0,2,2,0,2],[0,6,6,0,2,2,6]],"output":[[6,9]]...	0	dataset=solve_color group=identify_most_and_least_popular_colors rotate_0 predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=a
SIMON-SOLVE-V1 predict raw pixels for 'O3T'	I0 11 22 4,a1h3,,a31a3e1,d1b3131,1313b13131,313a1a313a1,a1a3c1a31,13131b3131,b1313a1a31,a313a1c31,c1313b13,1a313131a31,131a3a13b1,13b131b31,b131313b1,1a3a1313131,b13131a313,1a3a13c13,131313a13a1,f13b1,b84d8a4 O0 11 22 b43d4a3,a1h3,a1f3a1,a3a13c131,b131b3131,13d13b1,31a31a31a31,a1a3c1a31,13131b3131,b1313a1a31,a3c1b313,c...	3411444111444444113 1133111313113311331 3133131313133131111 3111133131111113113 3331111113333333313 1131333313111113311 1133313311133131331 1133311331113131111 4144111444131111444 4844888444888888444	{"train":[{"input":[[4,4,4,4,4,4,4,4,4,4,4],[1,1,3,3,3,3,3,3,3,3,3],[1,1,3,3,3,3,3,3,3,3,3],[3,3,1,3,3,1,1,1,1,1,1],[1,1,1,1,1,3,3,3,1,3,1],[1,3,1,3,1,1,1,3,1,3,1],[3,1,3,1,1,3,3,1,3,1,1],[1,1,3,3,1,1,1,1,3,3,1],[1,3,1,3,1,3,3,3,1,3,1],[1,1,1,3,1,3,1,1,3,3,1],[3,3,1,3,1,1,3,3,3,3,1],[1,1,1,1,3,1,3,1,1,1,3],[1,3,3,1,3,1...	0	dataset=solve_deform group=deform_line rotate_1 displacement_-1 predict=rawpixels earlier_prediction=none image_width=medium image_height=large task_pixels=c
simon-solve-v1, O3T, predict pixels	I0 17 8 828c2b8282b82,82b82a8a27a28b2,b2c0a287c2a8,28a28a6c0a2a828,a2b828a62728a282,a828b282a682b82,82a8c2828a2a828,b28b2828d282 O0 1 2 2,7 I1 13 14 8a7878d287,57a87878d7,6a5b878c78,6a75878787a87,6b8a5b78787,6a7a8757878a7,6b8a785c78,6a80a272a52a7,687808c75a8,6a87078787a87,6a7a808e7,d8702d7,8a7b802878a7,a7878a72d7 O1 1 ...	6 4	{"train":[{"input":[[8,2,8,2,2,2,2,8,8,8,2,8,2,8,8,8,2],[8,2,8,8,8,2,8,8,2,2,7,2,2,8,2,2,2],[2,2,2,0,0,0,0,2,2,8,7,2,2,2,2,8,8],[2,8,2,2,8,6,6,0,0,0,0,2,2,8,8,2,8],[2,2,8,8,8,2,8,6,6,2,7,2,8,2,2,8,2],[8,8,2,8,2,2,2,8,2,6,6,8,2,8,8,8,2],[8,2,8,8,2,2,2,2,8,2,8,2,2,8,8,2,8],[2,2,2,8,2,2,2,8,2,8,2,2,2,2,2,8,2]],"output":[[...	0	dataset=solve_color group=identify_most_and_least_popular_colors rotate_3 predict=rawpixels earlier_prediction=none image_width=large image_height=medium task_pixels=b
SIMON-SOLVE-VERSION1, 'O2T', predict the raw pixels	I0 15 6 e10a10d1,10b10d10b1,0e3g1,c9b3g1,c9b3a10a10a1,10l1 O0 15 6 7,,7e3g7,,,7 I1 6 14 1,10a1a0,0a10a1,b3930,b3931,,,,,,,,, O1 6 14 7,,,d37,,,,,,,,,, I2T 7 15 b1a0a1,1a0c1,1b3b1,1b30a1,13d9,,,,03d9,a0d9,a1d9,a0d9,10d9,a1d9,01d9 O2T None	7777777 7777777 7333777 7333777 7333777 7333777 7333777 7333777 7333777 7777777 7777777 7777777 7777777 7777777 7777777	{"train":[{"input":[[1,1,1,1,1,1,0,1,1,0,1,1,1,1,1],[1,0,1,1,1,0,1,1,1,1,1,0,1,1,1],[0,3,3,3,3,3,3,1,1,1,1,1,1,1,1],[9,9,9,9,3,3,3,1,1,1,1,1,1,1,1],[9,9,9,9,3,3,3,1,1,0,1,1,0,1,1],[1,0,1,1,1,1,1,1,1,1,1,1,1,1,1]],"output":[[7,7,7,7,7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7,7,7,7,7,7,7],[7,3,3,3,3,3,3,7,7,7,7,7,7,7,7],[...	0	dataset=solve_zindex group=mask_of_obscured_rectangle predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b
SIMONSOLVEVERSION1 predict raw pixels for 'O5T'	I0 7 8 a3636a3,a35c3,3,,,,, O0 7 8 35636a3,3,,,,,, I1 5 5 c31,37b3,7c3,a38a3,3 O1 5 5 7b31,8c3,7c3,3, I2 3 5 3,,253,3, O2 3 5 3,5a3,2a3,3, I3 6 3 1d3,c393,a31a36 O3 6 3 1a39a3,31a363,3 I4T 5 8 a37a3,3,37b3,3,,5c3,a31a3,3 O4T None I5T 4 9 7b3,3,,3831,3,,,, O5T None	7333 3133 8333 3333 3333 3333 3333 3333 3333	{"train":[{"input":[[3,3,6,3,6,3,3],[3,3,5,3,3,3,3],[3,3,3,3,3,3,3],[3,3,3,3,3,3,3],[3,3,3,3,3,3,3],[3,3,3,3,3,3,3],[3,3,3,3,3,3,3],[3,3,3,3,3,3,3]],"output":[[3,5,6,3,6,3,3],[3,3,3,3,3,3,3],[3,3,3,3,3,3,3],[3,3,3,3,3,3,3],[3,3,3,3,3,3,3],[3,3,3,3,3,3,3],[3,3,3,3,3,3,3],[3,3,3,3,3,3,3]]},{"input":[[3,3,3,3,1],[3,7,3,3,...	1	dataset=solve_gravity group=gravity_move_bottomright_to_topleft predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a
SIMON-SOLVE-V1 predict pixels for O4T	I0 2 3 7,, O0 1 1 7 I1 2 3 5,, O1 1 1 5 I2 2 3 2,,32 O2 1 1 2 I3 6 6 a6a7a9,65a792,a67529,15a7a9,a1a7a9,a178a9 O3 3 2 679,179 I4T 4 3 a438,04a3,a436 O4T None	43	{"train":[{"input":[[7,7],[7,7],[7,7]],"output":[[7]]},{"input":[[5,5],[5,5],[5,5]],"output":[[5]]},{"input":[[2,2],[2,2],[3,2]],"output":[[2]]},{"input":[[6,6,7,7,9,9],[6,5,7,7,9,2],[6,6,7,5,2,9],[1,5,7,7,9,9],[1,1,7,7,9,9],[1,1,7,8,9,9]],"output":[[6,7,9],[1,7,9]]}],"test":[{"input":[[4,4,3,8],[0,4,3,3],[4,4,3,6]],"o...	0	dataset=solve_scale group=scale_x2down_y3down_noiserandom predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a
simonsolveversion1 'O4T' predict the raw pixels	I0 6 12 3a1b9,131b9,3c59,,1c59,,3a1b9,a13b9,,1a3b9,a13b9,131b9 O0 6 12 3a1b9,131b9,3a5b9,,1a5b9,,3a1b9,a13b9,,1a3b9,a13b9,131b9 I1 12 15 d1b3b13,c13a131313,13a13b13b1,a313g1,c1a313a1a3,a13d13a13,b131b3c1,9,a9c5e9,,,,,,13d13c1 O1 12 15 d1b3b13,c13a131313,13a13b13b1,a313g1,c1a313a1a3,a13d13a13,b131b3c1,9,,,,,,,13d13c1 I2...	11111111 13155113 99999999 99999999 99999999 99999999 11155113 11355111 31111131 13111311 11311111 13111311	{"train":[{"input":[[3,1,1,9,9,9],[1,3,1,9,9,9],[3,5,5,5,5,9],[3,5,5,5,5,9],[1,5,5,5,5,9],[1,5,5,5,5,9],[3,1,1,9,9,9],[1,1,3,9,9,9],[1,1,3,9,9,9],[1,3,3,9,9,9],[1,1,3,9,9,9],[1,3,1,9,9,9]],"output":[[3,1,1,9,9,9],[1,3,1,9,9,9],[3,5,5,9,9,9],[3,5,5,9,9,9],[1,5,5,9,9,9],[1,5,5,9,9,9],[3,1,1,9,9,9],[1,1,3,9,9,9],[1,1,3,9,...	0	dataset=solve_zindex group=move_obscured_rectangle_to_top predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
SIMONSOLVEVERSION1 'O3T' predict the pixels	I0 28 25 9,,s91f9,9,,,,,,,,,,w91b9,9,,o91j9,9,x91a9,v9a67a9,v9258a9,c91q9a83a9,v9686a9,9, O0 3 20 a67,258,a83,686,a67,258,a83,686,a67,258,a83,686,a67,258,a83,686,a67,258,a83,686 I1 9 11 9,,91f9,9,,c91c9,a90630b9,a97623b9,a90768b9,a92082b9,b91d9 O1 4 12 0630,7623,0768,2082,0630,7623,0768,2082,0630,7623,0768,2082 I2 6 14...	868 888 888 768 822 868 888 888 768 822 868 888 888 768 822 868 888 888 768 822 868 888 888 768 822	{"train":[{"input":[[9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9],[9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9],[9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,1,9,9,9,9,9,9,9],[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...	0	dataset=solve_count group=count_pixels_and_repeat_input_pattern repeat_y predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=c
SIMONSOLVEVERSION1 predict pixels for 'O4T'	I0 6 2 b0b1,b8b7 O0 2 2 01,87 I1 3 6 2,,,,, O1 1 6 2,,,,, I2 3 7 8,,,0,,3,0 O2 1 7 8,,,0,,3,0 I3 3 5 6,,4,,8 O3 1 5 6,,4,,8 I4T 6 6 b9b4,b7b4,b4b1,b1b7,,b1b5 O4T None	94 74 41 17 17 15	{"train":[{"input":[[0,0,0,1,1,1],[8,8,8,7,7,7]],"output":[[0,1],[8,7]]},{"input":[[2,2,2],[2,2,2],[2,2,2],[2,2,2],[2,2,2],[2,2,2]],"output":[[2],[2],[2],[2],[2],[2]]},{"input":[[8,8,8],[8,8,8],[8,8,8],[0,0,0],[0,0,0],[3,3,3],[0,0,0]],"output":[[8],[8],[8],[0],[0],[3],[0]]},{"input":[[6,6,6],[6,6,6],[4,4,4],[4,4,4],[8,...	0	dataset=solve_scale group=scale_x3down_y1 predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a
simon-solve-v1, 'O3T', predict the raw pixels	I0 13 3 i32a3,3,f3232b3 O0 2 9 25,4,69,25,4,69,25,4,69 I1 11 12 3,,,,32h3,3,,,d32d3,3,, O1 2 6 25,4,69,25,4,69 I2 13 7 3,,h32b3,3,,b32g32,i32a3 O2 2 12 25,4,69,25,4,69,25,4,69,25,4,69 I3T 10 9 2h3,3,,,,,b32c323,d32c3,e32b3 O3T None I4T 12 4 g32323,3,a32h3,f32c3 O4T None	25 44 69 25 44 69 25 44 69 25 44 69 25 44 69	{"train":[{"input":[[3,3,3,3,3,3,3,3,3,3,2,3,3],[3,3,3,3,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,2,3,2,3,3,3]],"output":[[2,5],[4,4],[6,9],[2,5],[4,4],[6,9],[2,5],[4,4],[6,9]]},{"input":[[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],[3,2,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3,3,...	0	dataset=solve_count group=count_pixels_and_repeat_output_pattern repeat_y predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b
Simon-Solve-V1 predict pixels for 'O5T'	I0 11 15 9c1e9,,9c16d9,6c1e9,6c1b96a9,9c1a6a969,9c1e9,,6c1a96969,9c1a6c9,9c1e9,6c1e9,9c16a9b6,96d96b9,c96b96a9 O0 11 15 7c8e7,,,,,,,,,,,,,7, I1 15 8 a96g9a6a9,6b96a96c9a69,a6a96c96d9,d969696d9,l1a9,,a96a96h9,l969 O1 15 8 7,,,,l8a7,,7, I2 8 9 e969,6f9,c9a1a9,696c96,a6e9,9,c96a96,696b9a6,9 O2 8 9 7,,c7a8a7,7,,,,, I3 9 14...	777777777777777 888888888888887 888888888888887 888888888888887 888888888888887 777777777777777	{"train":[{"input":[[9,1,1,1,1,9,9,9,9,9,9],[9,1,1,1,1,9,9,9,9,9,9],[9,1,1,1,1,6,9,9,9,9,9],[6,1,1,1,1,9,9,9,9,9,9],[6,1,1,1,1,9,9,9,6,9,9],[9,1,1,1,1,6,6,9,9,6,9],[9,1,1,1,1,9,9,9,9,9,9],[9,1,1,1,1,9,9,9,9,9,9],[6,1,1,1,1,9,9,6,9,6,9],[9,1,1,1,1,6,6,9,9,9,9],[9,1,1,1,1,9,9,9,9,9,9],[6,1,1,1,1,9,9,9,9,9,9],[9,1,1,1,1,6...	1	dataset=solve_zindex group=mask_of_primary_rectangle predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
simonsolveversion1 predict raw pixels for 'O4T'	I0 5 7 c79,79b7,b797,7,,,b797 O0 5 7 c79,,,7,,,c79 I1 7 6 7,,,,79c79,d797 O1 7 6 7,,,,d7a9,e79 I2 7 8 7,c79a7,7,,,b79b7,,9e7 O2 7 8 7,e79,7,,,e79,, I3 7 6 7,a79c7,c79a7,9e7,b79b7, O3 7 6 7,e79,,,, I4T 8 7 c79b7,7,f79,7,79e7,7, O4T None I5T 9 7 7,f797,7,e79a7,7,e79a7,7 O5T None	77777779 77777777 77777779 77777777 77777779 77777777 77777777	{"train":[{"input":[[7,7,7,7,9],[7,9,7,7,7],[7,7,7,9,7],[7,7,7,7,7],[7,7,7,7,7],[7,7,7,7,7],[7,7,7,9,7]],"output":[[7,7,7,7,9],[7,7,7,7,9],[7,7,7,7,9],[7,7,7,7,7],[7,7,7,7,7],[7,7,7,7,7],[7,7,7,7,9]]},{"input":[[7,7,7,7,7,7,7],[7,7,7,7,7,7,7],[7,7,7,7,7,7,7],[7,7,7,7,7,7,7],[7,9,7,7,7,7,9],[7,7,7,7,7,9,7]],"output":[[7...	0	dataset=solve_gravity group=gravity_move_left_to_right predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=b
SIMONSOLVEV1 predict pixels for 'O5T'	I0 20 20 23b2c3232f32,a32a3a2a323a2a3a2b3,f3753a23a232323,a3a2a3a25b3a2a32323,d3a25a2323a2d3,a23a2325a2c3c2a3,23a2325a2a32a3232a32,3d25b2e32b3,232b35e32d32,232a353c232323c2,a32a3523232d3b23,2323523a2c3d2a3,c352b32b3b2a3a2,23b5d32b3a232a3,236c5232d3a2b3,3265a23b5a3b2a3b2,236b2b32b52d32,a36a323b23a2b5b32,f32b32a323a5a3,2...	8 6	{"train":[{"input":[[2,3,2,2,2,3,3,3,3,2,3,2,3,3,3,3,3,3,3,2],[3,3,2,3,3,2,2,3,3,2,3,2,2,3,3,2,2,3,3,3],[3,3,3,3,3,3,3,7,5,3,2,2,3,2,2,3,2,3,2,3],[3,3,2,2,3,3,2,2,5,3,3,3,2,2,3,3,2,3,2,3],[3,3,3,3,3,2,2,5,2,2,3,2,3,2,2,3,3,3,3,3],[2,2,3,2,2,3,2,5,2,2,3,3,3,3,2,2,2,2,3,3],[2,3,2,2,3,2,5,2,2,3,3,2,3,3,2,3,2,3,3,2],[3,2,2...	1	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=c
Simon-Solve-Version1 predict raw pixels for O3T	I0 2 20 54,47,49,97,,9,97,9,59,79,9,79,,,75,97,7,,9,57 O0 2 20 59,97,94,47,,4,47,4,54,74,4,74,,,75,47,7,,4,57 I1 19 6 f64a626262c6,a64k64b6,d54a62a62f6,3a4a6d56262a6b7,3h65a0b7b6,3c64c64g6 O1 19 6 f04a020202c0,a04k04b0,d54a02a02f0,3a4a0d50202a0b7,3h05a6b7b0,3c04c04g0 I2 17 13 c805e850b8,5e8a0859a0b8,05c8058089d8,087a9e...	81851818 81588858 51888581 88188888 18885888 88818858 88588818 88888588 88188888 58551818 88588858 88881588 55558858 88855858 88885818 88881888	{"train":[{"input":[[5,4],[4,7],[4,9],[9,7],[9,7],[9,9],[9,7],[9,9],[5,9],[7,9],[9,9],[7,9],[7,9],[7,9],[7,5],[9,7],[7,7],[7,7],[9,9],[5,7]],"output":[[5,9],[9,7],[9,4],[4,7],[4,7],[4,4],[4,7],[4,4],[5,4],[7,4],[4,4],[7,4],[7,4],[7,4],[7,5],[4,7],[7,7],[7,7],[4,4],[5,7]]},{"input":[[6,6,6,6,6,6,6,4,6,6,2,6,2,6,2,6,6,6,...	0	dataset=solve_color group=swap_most_and_least_popular_colors predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
simon-solve-version1, 'O4T', predict the raw pixels	I0 13 21 1,,,,,,,c13g1,c135f1,d165e1,d1615d1,d16e15,c1618b1a51,c1618a15b1,c1618a5c1,c1618e1,b16h1,,,1, O0 13 21 3,,,,,,,c31g3,c315f3,d365e3,d3635d3,d36e35,c3638b3a53,c3638a35b3,c3638a5c3,c3638e3,b36h3,,,3, I1 19 17 a8b28b2a828b2b8,8c25a828b2b8282,a82825c2a8a282a82,28a2858h2828,28a25b2828282b828,82825b28b2b8c2,b285b28a2...	999909999999999999 009099900999099999 099099999900999990 999999339999999909 999933000999999999 999399999999990999 999990999900099909 999999990990999999 990999999999099900 099999099999099090 990909009909999999 999999099999099999	{"train":[{"input":[[1,1,1,1,1,1,1,1,1,1,1,1,1],[1,1,1,1,1,1,1,1,1,1,1,1,1],[1,1,1,1,1,1,1,1,1,1,1,1,1],[1,1,1,1,1,1,1,1,1,1,1,1,1],[1,1,1,1,1,1,1,1,1,1,1,1,1],[1,1,1,1,1,1,1,1,1,1,1,1,1],[1,1,1,1,1,1,1,1,1,1,1,1,1],[1,1,1,1,3,1,1,1,1,1,1,1,1],[1,1,1,1,3,5,1,1,1,1,1,1,1],[1,1,1,1,1,6,5,1,1,1,1,1,1],[1,1,1,1,1,6,1,5,1,1...	0	dataset=solve_color group=swap_most_and_least_popular_colors predict=rawpixels earlier_prediction=none image_width=medium image_height=large task_pixels=d
SIMONSOLVEV1, 'O3T', predict the pixels	I0 11 13 50a50d50,c6b1c6,a6a16a1a616,61b6a16161,616b1b616,61b6161b6,a616a1a6a16,6a1616a1616,a6161a61616,a61a6b1a61,1a61a616a16,a616161c6,0 O0 11 13 50a50d50,d6a1c6,6b16a1a6a1,61a6b161a6,616161b616,c6a161b6,6a16a1a6a16,a61616a1616,a61c616a1,a61a6b1b6,1a6a1616a16,6016061b60,06a01d06 I1 16 22 a5b0a5b0c5a0,g6a1e6,6161616b1...	55550505050500055505 16666661666616661661 16616666111166166161 61616161661116116166 66616161666166666166 61661611611161661661 61111616666616111661 61666611611666666166 66160106010100066106 00006010606066100060	{"train":[{"input":[[5,0,5,5,0,5,5,5,5,5,0],[6,6,6,6,1,1,1,6,6,6,6],[6,6,1,1,6,1,1,6,6,1,6],[6,1,6,6,6,1,1,6,1,6,1],[6,1,6,1,1,1,6,6,6,1,6],[6,1,6,6,6,1,6,1,6,6,6],[6,6,1,6,1,1,6,6,1,1,6],[6,1,1,6,1,6,1,1,6,1,6],[6,6,1,6,1,6,6,1,6,1,6],[6,6,1,6,6,1,1,1,6,6,1],[1,6,6,1,6,6,1,6,1,1,6],[6,6,1,6,1,6,1,6,6,6,6],[0,0,0,0,0,0...	0	dataset=solve_deform group=deform_line rotate_3 displacement_1 predict=rawpixels earlier_prediction=none image_width=medium image_height=large task_pixels=c
SIMONSOLVEV1, 'O2T', predict the raw pixels	I0 4 4 a5a1,,a1a5, O0 12 12 h5b1,,,e5b1b5,,,b5b1e5,,,b1h5,, I1 4 6 a1a5,,,,a5a1, O1 12 27 b1h5,,,,,,b5b1e5,,,b1h5,,,,,,b5b1e5,,,e5b1b5,,,,,,h5b1,, I2T 6 4 a5c1,,a1c5, O2T None	555555555555111111555111111 555555555555111111555111111 555555555555111111555111111 555555555111555555111555555 555555555111555555111555555 555555555111555555111555555 555111111555555555555555555 555111111555555555555555555 555111111555555555555555555 111555555555555555555555555 111555555555555555555555555 111555555555...	{"train":[{"input":[[5,5,1,1],[5,5,1,1],[1,1,5,5],[1,1,5,5]],"output":[[5,5,5,5,5,5,5,5,5,1,1,1],[5,5,5,5,5,5,5,5,5,1,1,1],[5,5,5,5,5,5,5,5,5,1,1,1],[5,5,5,5,5,5,1,1,1,5,5,5],[5,5,5,5,5,5,1,1,1,5,5,5],[5,5,5,5,5,5,1,1,1,5,5,5],[5,5,5,1,1,1,5,5,5,5,5,5],[5,5,5,1,1,1,5,5,5,5,5,5],[5,5,5,1,1,1,5,5,5,5,5,5],[1,1,1,5,5,5,5,...	0	dataset=solve_fractal group=pattern_to_fractal predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=b
Simon-Solve-Version1 predict pixels for 'O3T'	I0 2 1 2 O0 1 2 2, I1 2 1 5 O1 1 2 5, I2T 2 1 0 O2T None I3T 2 2 7, O3T None	7 7 7 7	{"train":[{"input":[[2,2]],"output":[[2],[2]]},{"input":[[5,5]],"output":[[5],[5]]}],"test":[{"input":[[0,0]],"output":[[0],[0]]},{"input":[[7,7],[7,7]],"output":[[7],[7],[7],[7]]}]}	1	dataset=solve_scale group=scale_x2down_y2up predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a
SIMON-SOLVE-VERSION1, 'O4T', predict the pixels	I0 15 7 d2a1g2,,d2a1b214b2,d2a1b249b2,d2a1g2,, O0 15 7 d1a2g1,,29b1a2b124b1,94b1a2b149b1,d1a2g1,, I1 18 8 g2a1g2,g2a1a2b4b2,g2a1a249c2,g2a1a2b4b2,g2a1a2949b2,g2a1a29a4b2,g2a1a2494b2,g2a1g2 O1 18 8 g1a2g1,b1b9a1a2a1b4b1,b194b1a2a149c1,b1b9a1a2a1b4b1,b1494a1a2a1949b1,b14a9a1a2a19a4b1,b1949a1a2a1494b1,g1a2g1 I2 7 14 a2b1a...	111111111111121111111111111 111111111111121111111111111 111111111111121111111111111 111491449941121194199449111 111949494991121149494944111 111111111111121111111111111 111111111111121111111111111	{"train":[{"input":[[2,2,2,2,2,1,1,2,2,2,2,2,2,2,2],[2,2,2,2,2,1,1,2,2,2,2,2,2,2,2],[2,2,2,2,2,1,1,2,2,2,1,4,2,2,2],[2,2,2,2,2,1,1,2,2,2,4,9,2,2,2],[2,2,2,2,2,1,1,2,2,2,2,2,2,2,2],[2,2,2,2,2,1,1,2,2,2,2,2,2,2,2],[2,2,2,2,2,1,1,2,2,2,2,2,2,2,2]],"output":[[1,1,1,1,1,2,2,1,1,1,1,1,1,1,1],[1,1,1,1,1,2,2,1,1,1,1,1,1,1,1],[...	0	dataset=solve_symmetry group=symmetry_line invert=4 flip=False swapwallbackground=True predict=rawpixels earlier_prediction=none image_width=large image_height=medium task_pixels=c
simonsolveversion1, 'O3T', predict the raw pixels	I0 4 7 5a75,7b9,a515,51a5,71a5,1b7,7a57 O0 4 14 5a75,7b9,a515,51a5,71a5,1b7,7a57,5a75,7b9,a515,51a5,71a5,1b7,7a57 I1 7 6 6a7a6a7,7676a51,6e7,a6b761,a7a6176,676a767 O1 7 12 6a7a6a7,7676a51,6e7,a6b761,a7a6176,676a767,6a7a6a7,7676a51,6e7,a6b761,a7a6176,676a767 I2T 6 8 2,26a262,6c29,c232,242532,2a4302,29a402,62b02 O2T None...	99999999 99999999 99999999 99299899 99666689 99999999 99999999 99999999 99999999 99299899 99666689 99999999	{"train":[{"input":[[5,7,7,5],[7,9,9,9],[5,5,1,5],[5,1,5,5],[7,1,5,5],[1,7,7,7],[7,5,5,7]],"output":[[5,7,7,5],[7,9,9,9],[5,5,1,5],[5,1,5,5],[7,1,5,5],[1,7,7,7],[7,5,5,7],[5,7,7,5],[7,9,9,9],[5,5,1,5],[5,1,5,5],[7,1,5,5],[1,7,7,7],[7,5,5,7]]},{"input":[[6,7,7,6,6,7,7],[7,6,7,6,5,5,1],[6,7,7,7,7,7,7],[6,6,7,7,7,6,1],[7,...	1	dataset=solve_symmetry group=rect vstack(orig orig) predict=rawpixels earlier_prediction=none image_width=small image_height=medium task_pixels=a
Simon-Solve-Version1, O4T, predict raw pixels	I0 5 9 1,c19,1,a50a1,5a6a1,67891,c19,1,b191 O0 3 12 a50,5a6,678,a50,5a6,678,a50,5a6,678,a50,5a6,678 I1 25 19 a6v1,02v1,a0v1,40v1,a0v1,60v1,1,,,,,,t19b1,1,,,a19u1,1,9w1 O1 2 18 6,02,0,40,0,60,6,02,0,40,0,60,6,02,0,40,0,60 I2 17 14 d1a075g1,d1b05g1,d17a45g1,d10605g1,1,i19e1,1,,d19j1,1,m19a1,1,, O2 4 12 a075,b05,7a45,0605...	347 464 347 464 347 464	{"train":[{"input":[[1,1,1,1,1],[1,1,1,1,9],[1,1,1,1,1],[5,5,0,1,1],[5,6,6,1,1],[6,7,8,9,1],[1,1,1,1,9],[1,1,1,1,1],[1,1,1,9,1]],"output":[[5,5,0],[5,6,6],[6,7,8],[5,5,0],[5,6,6],[6,7,8],[5,5,0],[5,6,6],[6,7,8],[5,5,0],[5,6,6],[6,7,8]]},{"input":[[6,6,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1],[0,2,1,1,1,1,1,1,1,1,...	0	dataset=solve_count group=count_pixels_and_repeat_input_pattern repeat_y predict=rawpixels earlier_prediction=none image_width=large image_height=medium task_pixels=c
simon-solve-v1 'O4T' predict the pixels	I0 6 3 a16b1,a161a6,c161 O0 6 3 a1c6,,c1a6 I1 3 3 161,1, O1 3 3 1a6,1, I2 3 4 1,6a1,161,1 O2 3 4 1,6,1a6,1 I3 9 5 6g1,a16e1,1,e16a1,b16d1 O3 9 5 6,a1f6,1,e1b6,b1e6 I4T 4 6 1a61,1,,,16a1,1 O4T None I5T 6 5 b16a1,a16b1,1,,161a61 O5T None	1666 1111 1111 1111 1666 1111	{"train":[{"input":[[1,1,6,1,1,1],[1,1,6,1,6,6],[1,1,1,1,6,1]],"output":[[1,1,6,6,6,6],[1,1,6,6,6,6],[1,1,1,1,6,6]]},{"input":[[1,6,1],[1,1,1],[1,1,1]],"output":[[1,6,6],[1,1,1],[1,1,1]]},{"input":[[1,1,1],[6,1,1],[1,6,1],[1,1,1]],"output":[[1,1,1],[6,6,6],[1,6,6],[1,1,1]]},{"input":[[6,1,1,1,1,1,1,1,1],[1,1,6,1,1,1,1,...	0	dataset=solve_gravity group=gravity_draw_left_to_right predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a
simonsolvev1, 'O3T', predict the pixels	I0 6 18 5,5a3b5,583b5,5a3b5,5a8b5,,583b5,538b5,,5a3b5,583b5,5a3b5,5a8b5,,583b5,538b5,,5 O0 2 8 3,83,3,8,,83,38, I1 6 7 5,a536a5,a5a4a5,a536a5,a5a4a5,5, O1 2 2 36,4 I2T 7 10 5,,,b57575,b5b75,b57575,b5b75,5,, O2T None I3T 6 21 5,,,a5a125,a571a5,b5a15,a51a75,a5b15,b5a15,a5b15,,a5a125,a571a5,b5a15,a51a75,a5b15,b5a15,a5b15,...	112 715 511 177 111 511 111 111	{"train":[{"input":[[5,5,5,5,5,5],[5,3,3,5,5,5],[5,8,3,5,5,5],[5,3,3,5,5,5],[5,8,8,5,5,5],[5,8,8,5,5,5],[5,8,3,5,5,5],[5,3,8,5,5,5],[5,3,8,5,5,5],[5,3,3,5,5,5],[5,8,3,5,5,5],[5,3,3,5,5,5],[5,8,8,5,5,5],[5,8,8,5,5,5],[5,8,3,5,5,5],[5,3,8,5,5,5],[5,3,8,5,5,5],[5,5,5,5,5,5]],"output":[[3,3],[8,3],[3,3],[8,8],[8,8],[8,3],[...	1	dataset=solve_symmetry group=rect hstack(orig orig) padded predict=rawpixels earlier_prediction=none image_width=small image_height=large task_pixels=a
simon-solve-version1, 'O4T', predict the pixels	I0 19 14 1,e1a8040g1,e1b838g1,e18a378g1,e1687a8g1,e107b8g1,e1d8g1,1,,k12e1,1,m12c1,1, O0 5 12 a8040,b838,8a378,687a8,07b8,8,a8040,b838,8a378,687a8,07b8,8 I1 26 29 1,,,,,,,,,a12v1,1,,,,,,s1873787,s1a70594,s1b50a4,1,,,,,f12q1,12w1,w121,1, O1 6 12 873787,a70594,b50a4,873787,a70594,b50a4,873787,a70594,b50a4,873787,a70594,b...	966 963 966 963 966 963 966 963	{"train":[{"input":[[1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1],[1,1,1,1,1,1,8,8,0,4,0,1,1,1,1,1,1,1,1],[1,1,1,1,1,1,8,8,8,3,8,1,1,1,1,1,1,1,1],[1,1,1,1,1,1,8,3,3,7,8,1,1,1,1,1,1,1,1],[1,1,1,1,1,1,6,8,7,8,8,1,1,1,1,1,1,1,1],[1,1,1,1,1,1,0,7,8,8,8,1,1,1,1,1,1,1,1],[1,1,1,1,1,1,8,8,8,8,8,1,1,1,1,1,1,1,1],[1,1,1,1,1,1,1,1,1,1...	1	dataset=solve_count group=count_pixels_and_repeat_input_pattern repeat_y predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=c
Simon-Solve-V1 predict raw pixels for 'O4T'	I0 10 12 35g3,3,g353,3,,f35a3,3,,,,,d35c3 O0 5 16 2,2a342,2a842,2a4a2,2,2a342,2a842,2a4a2,2,2a342,2a842,2a4a2,2,2a342,2a842,2a4a2 I1 4 5 b35,3,5a35,a353,a3a5 O1 5 24 2,2a342,2a842,2a4a2,2,2a342,2a842,2a4a2,2,2a342,2a842,2a4a2,2,2a342,2a842,2a4a2,2,2a342,2a842,2a4a2,2,2a342,2a842,2a4a2 I2 6 14 b35a3,3,d35,3,,,,,,,,b35a3...	22222 23342 28842 24422 22222 23342 28842 24422 22222 23342 28842 24422 22222 23342 28842 24422	{"train":[{"input":[[3,5,3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3,5,3],[3,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,5,3,3],[3,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,5,3,3,3,3]],"output":[[2,2,2,2,2],[2,3,3,4,2],[...	1	dataset=solve_count group=count_pixels_and_repeat_output_pattern repeat_y predict=rawpixels earlier_prediction=none image_width=medium image_height=large task_pixels=b
simonsolveversion1, 'O4T', predict the raw pixels	I0 23 20 68080l80a802,280b80808080808a0c82,68a08a0808080a80a8b082,2b80808080a808b0c82,68a0a80b808a0c8b082,2a80808a0d8b0808082,68a080b808080c808082,2c8b080808080b8a082,68b0a80808a08b0b8082,68a0a8a080b8c0a80a82,6a8a0a808a080a8a0b8a02,60808080a8080a808b0a82,2a80808080a8a0e8082,680a80808080a8080808082,28080a80808a080808080...	688800000002 280000880028 280888088820 288888000828 208000880820 600888080082 680800888882 680880088082 208800000828 608800888882 600088880002 208080088828 680888088082 200000880828 688888008082 288088880820 608008800882 208000888020 600088880882	{"train":[{"input":[[6,8,0,8,0,8,8,8,8,8,8,8,8,8,8,8,8,8,0,8,8,0,2],[2,8,0,8,8,8,0,8,0,8,0,8,0,8,0,8,0,0,8,8,8,8,2],[6,8,0,0,8,0,0,8,0,8,0,8,0,8,8,0,8,8,0,0,0,8,2],[2,8,8,8,0,8,0,8,0,8,0,8,8,0,8,0,0,0,8,8,8,8,2],[6,8,0,0,8,8,0,8,8,8,0,8,0,0,8,8,8,8,0,0,0,8,2],[2,8,8,0,8,0,8,0,0,8,8,8,8,8,0,0,0,8,0,8,0,8,2],[6,8,0,0,8,0...	1	dataset=solve_deform group=deform_line rotate_0 displacement_1 predict=rawpixels earlier_prediction=none image_width=large image_height=medium task_pixels=d
SIMONSOLVEV1 'O4T' predict the raw pixels	I0 7 6 8415a46,8a0a458,65a7058,84a5a36,6543a48,b86b8 O0 5 25 415a4,a0a45,5a705,4a5a3,543a4,415a4,a0a45,5a705,4a5a3,543a4,415a4,a0a45,5a705,4a5a3,543a4,415a4,a0a45,5a705,4a5a3,543a4,415a4,a0a45,5a705,4a5a3,543a4 I1 19 28 8,,,,,,,,,,,,,n86b8,8,,,837o8,827o8,,,,,a86o8,86p8,8,, O1 2 18 37,27,,,,,37,27,,,,,37,27,,,, I2 21 1...	749 473 749 473 749 473	{"train":[{"input":[[8,4,1,5,4,4,6],[8,0,0,4,4,5,8],[6,5,7,7,0,5,8],[8,4,5,5,3,3,6],[6,5,4,3,4,4,8],[8,8,8,6,8,8,8]],"output":[[4,1,5,4,4],[0,0,4,4,5],[5,7,7,0,5],[4,5,5,3,3],[5,4,3,4,4],[4,1,5,4,4],[0,0,4,4,5],[5,7,7,0,5],[4,5,5,3,3],[5,4,3,4,4],[4,1,5,4,4],[0,0,4,4,5],[5,7,7,0,5],[4,5,5,3,3],[5,4,3,4,4],[4,1,5,4,4],[...	1	dataset=solve_count group=count_pixels_and_repeat_input_pattern repeat_y predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=c
simon-solve-v1, O4T, predict raw pixels	I0 2 6 74,,,05,, O0 6 2 b7b4,b0b5 I1 2 6 69,,,3,, O1 6 2 b6b9,3 I2 2 6 63,,,3,, O2 6 2 b6b3,3 I3 2 3 36,, O3 6 1 b3b6 I4T 1 3 1,, O4T None I5T 1 6 2,,,,, O5T None	111	{"train":[{"input":[[7,4],[7,4],[7,4],[0,5],[0,5],[0,5]],"output":[[7,7,7,4,4,4],[0,0,0,5,5,5]]},{"input":[[6,9],[6,9],[6,9],[3,3],[3,3],[3,3]],"output":[[6,6,6,9,9,9],[3,3,3,3,3,3]]},{"input":[[6,3],[6,3],[6,3],[3,3],[3,3],[3,3]],"output":[[6,6,6,3,3,3],[3,3,3,3,3,3]]},{"input":[[3,6],[3,6],[3,6]],"output":[[3,3,3,6,6...	0	dataset=solve_scale group=scale_x3up_y3down predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a
SIMONSOLVEVERSION1, O3T, predict raw pixels	I0 4 2 5,51a5 O0 2 1 5 I1 2 4 1,,5, O1 1 2 1,5 I2 4 4 a8a6,a806,1, O2 2 2 86,1 I3T 4 6 a370,a3a0,a3a5,,,a359 O3T None	30 35 35	{"train":[{"input":[[5,5,5,5],[5,1,5,5]],"output":[[5,5]]},{"input":[[1,1],[1,1],[5,5],[5,5]],"output":[[1],[5]]},{"input":[[8,8,6,6],[8,8,0,6],[1,1,1,1],[1,1,1,1]],"output":[[8,6],[1,1]]}],"test":[{"input":[[3,3,7,0],[3,3,0,0],[3,3,5,5],[3,3,5,5],[3,3,5,5],[3,3,5,9]],"output":[[3,0],[3,5],[3,5]]}]}	0	dataset=solve_scale group=scale_x2down_y2down_noiserandom predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a
SIMON-SOLVE-V1, O2T, predict pixels	I0 6 9 b2b6,,,2,,,6,, O0 4 9 b62,6,a6a2,6,,,6262,6,2 I1 9 6 b6b2b6,,,b6e2,, O1 9 4 262b6262,2d62a6,262e6,2g6 I2T 9 6 b6b2b6,,,b2b6b2,, O2T None	262666262 626666626 666262666 666626666	{"train":[{"input":[[2,2,2,6,6,6],[2,2,2,6,6,6],[2,2,2,6,6,6],[2,2,2,2,2,2],[2,2,2,2,2,2],[2,2,2,2,2,2],[6,6,6,6,6,6],[6,6,6,6,6,6],[6,6,6,6,6,6]],"output":[[6,6,6,2],[6,6,6,6],[6,6,2,2],[6,6,6,6],[6,6,6,6],[6,6,6,6],[6,2,6,2],[6,6,6,6],[2,2,2,2]]},{"input":[[6,6,6,2,2,2,6,6,6],[6,6,6,2,2,2,6,6,6],[6,6,6,2,2,2,6,6,6],[...	0	dataset=solve_fractal group=pattern_to_fractal predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a
simonsolveversion1 'O3T' predict the raw pixels	I0 3 3 5,, O0 6 1 5 I1 3 6 2a0,,,0a2,, O1 6 2 a2c0,a0c2 I2 2 6 8,,,56,, O2 4 2 8,a5a6 I3T 3 3 8,, O3T None I4T 1 6 8,,,9,, O4T None	888888	{"train":[{"input":[[5,5,5],[5,5,5],[5,5,5]],"output":[[5,5,5,5,5,5]]},{"input":[[2,0,0],[2,0,0],[2,0,0],[0,2,2],[0,2,2],[0,2,2]],"output":[[2,2,0,0,0,0],[0,0,2,2,2,2]]},{"input":[[8,8],[8,8],[8,8],[5,6],[5,6],[5,6]],"output":[[8,8,8,8],[5,5,6,6]]}],"test":[{"input":[[8,8,8],[8,8,8],[8,8,8]],"output":[[8,8,8,8,8,8]]},{...	0	dataset=solve_scale group=scale_x2up_y3down predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a
simon-solve-version1 predict pixels for O5T	I0 7 7 434b74,b74732,c7247,4d74,54a2474,75c72,a75c7 O0 7 28 427a427,734c7,a7274a7,74a72a7,4b7275,3b7457,4a745a7,427a427,734c7,a7274a7,74a72a7,4b7275,3b7457,4a745a7,a75c7,75c72,54a2474,4d74,c7247,b74732,434b74,a754a74,754b73,572b74,a72a747,a7472a7,c7437,72a4724 I1 7 7 98c23,a281b2,a238123,b60832,1a30812,3a20282,2320238 ...	2222 2322 6662 2422 2222 2322 6662 2422 2222 2622 4632 2622 2242 2666 2232 2222	{"train":[{"input":[[4,3,4,7,7,7,4],[7,7,7,4,7,3,2],[7,7,7,7,2,4,7],[4,7,7,7,7,7,4],[5,4,2,2,4,7,4],[7,5,7,7,7,7,2],[7,7,5,7,7,7,7]],"output":[[4,2,7,4,4,2,7],[7,3,4,7,7,7,7],[7,7,2,7,4,7,7],[7,4,7,7,2,7,7],[4,7,7,7,2,7,5],[3,7,7,7,4,5,7],[4,7,7,4,5,7,7],[4,2,7,4,4,2,7],[7,3,4,7,7,7,7],[7,7,2,7,4,7,7],[7,4,7,7,2,7,7],[...	1	dataset=solve_symmetry group=square vstack(ccw ccw flipy cw) predict=rawpixels earlier_prediction=none image_width=small image_height=large task_pixels=b
simonsolvev1 'O5T' predict the pixels	I0 8 23 9,,,,,,e909,9,,,,a9a74890,a93741a9,a97341a9,a9a834a9,a97834a9,a97a13a9,b90c9,9,,,, O0 4 18 a748,3741,7341,a834,7834,7a13,a748,3741,7341,a834,7834,7a13,a748,3741,7341,a834,7834,7a13 I1 25 7 m90i9,0w9,9,o90g9,9,m94c7b90a9,m947b1e9 O1 5 8 4c7,47b1,4c7,47b1,4c7,47b1,4c7,47b1 I2 13 25 9,,,,45c8f9,5d4f9,41a4a8f9,a1c4...	56 46 64 56 46 64 56 46 64 56 46 64	{"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],[9,9,9,9,9,9,0,9],[9,9,9,9,9,9,9,9],[9,9,9,9,9,9,9,9],[9,9,9,9,9,9,9,9],[9,9,9,9,9,9,9,9],[9,9,7,7,4,8,9,0],[9,9,3,7,4,1,9,9],[9,9,7,3,4,1,9,9],[9,9,8,8,3,4,9,9],[9,9,7,8,3,4,9,9],[9,9,7,1,1,3...	1	dataset=solve_count group=count_pixels_and_repeat_input_pattern repeat_y predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=c

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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.

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