Datasets:

neoneye
/

simon-arc-combine-v171

instruction stringclasses 371 values	input stringlengths 115 3.29k	output stringlengths 1 867	arc_task stringlengths 367 24k	test_index int64 0 1	benchmark stringclasses 224 values
SIMONSOLVEVERSION1 'O4T' predict the pixels	I0 18 6 3a7a3b7f37a3,d37d3a7c37,a73a7b3b7a37c3,c37a3a7c37b37,e37c37d37,7b3a737b37a37b3 O0 18 6 7a4a7b4f74a7,d74d7a4c74,a47a4b7b4a74c7,c74a7a4c74b74,e74c74d74,4b7a474b74a74b7 I1 6 19 a3a0a3,d30,,3,,0d3,a30b3,3,a3a030,a3b03,3,b3030,3,,a3a0a3,3,3b030,3a0b3,3 O1 6 19 a0a4a0,d04,,0,,4d0,a04b0,0,a0a404,a0b40,0,b0404,0,,a0a4a...	9949499 9499999 9944499 9949999 4994949 9994944 9449494 9994944 9999994 9994944 9449944 9444944 9449999 4994944	{"train":[{"input":[[3,7,7,3,3,7,7,7,3,3,3,3,3,3,3,7,3,3],[3,3,3,3,3,7,3,3,3,3,3,7,7,3,3,3,3,7],[7,7,3,7,7,3,3,3,7,7,7,3,3,7,3,3,3,3],[3,3,3,3,7,3,3,7,7,3,3,3,3,7,3,3,3,7],[3,3,3,3,3,3,7,3,3,3,3,7,3,3,3,3,3,7],[7,3,3,3,7,7,3,7,3,3,3,7,3,3,7,3,3,3]],"output":[[7,4,4,7,7,4,4,4,7,7,7,7,7,7,7,4,7,7],[7,7,7,7,7,4,7,7,7,7,7,...	0	dataset=solve_color group=replace_color_different_palettes no_padding palette_b predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
SIMONSOLVEVERSION1 'O4T' predict the pixels	I0 11 9 2,,29d29b2,2,,f29b2,,2,9i2 O0 3 25 a34,3,3a2,359,353,a34,3,3a2,359,353,a34,3,3a2,359,353,a34,3,3a2,359,353,a34,3,3a2,359,353 I1 3 11 2,,,2a9,2,2a9,a29,9a2,2,, O1 3 30 a34,3,3a2,359,353,a34,3,3a2,359,353,a34,3,3a2,359,353,a34,3,3a2,359,353,a34,3,3a2,359,353,a34,3,3a2,359,353 I2 8 13 c29b2,2,,b29c2,9f2,2,,d29a2,2...	334 333 322 359 353	{"train":[{"input":[[2,2,2,2,2,2,2,2,2,2,2],[2,2,2,2,2,2,2,2,2,2,2],[2,9,2,2,2,2,2,9,2,2,2],[2,2,2,2,2,2,2,2,2,2,2],[2,2,2,2,2,2,2,2,2,2,2],[2,2,2,2,2,2,2,9,2,2,2],[2,2,2,2,2,2,2,9,2,2,2],[2,2,2,2,2,2,2,2,2,2,2],[9,2,2,2,2,2,2,2,2,2,2]],"output":[[3,3,4],[3,3,3],[3,2,2],[3,5,9],[3,5,3],[3,3,4],[3,3,3],[3,2,2],[3,5,9],[...	0	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 'O2T'	I0 12 18 958e95a9,5d9589898,5d98985a9,f95a915,d989a4819,8a989a4b919,989a4d919,8a4c98a918,89859898a919,a8589589a819,b9898985919,5b985b9195,9859a8b9195,d958951a9,f9a81a9,9a8c9891a9,895c9a8189,e9a89859 O0 18 12 9a5a989b895c989,5d98498a98a98a9,8e9485a95a9859,d98495a8f9,e94c9a8d9,c984a9858585c9,958a94b98b98b98,98954a9a898b9...	9555555955 5555555555 5555555555 5552555955 5593552555 5593052655 5552325655 5552305569 5552330755 9552330759 5552393095 5925353055 5522375305 9522358355 5522385535 5528355935 5987355593 5575359553 5955355555 9555355555 5555555555	{"train":[{"input":[[9,5,8,9,9,9,9,9,9,5,9,9],[5,9,9,9,9,9,5,8,9,8,9,8],[5,9,9,9,9,9,8,9,8,5,9,9],[9,9,9,9,9,9,9,5,9,9,1,5],[9,9,9,9,9,8,9,4,4,8,1,9],[8,9,9,8,9,4,4,9,9,9,1,9],[9,8,9,4,4,9,9,9,9,9,1,9],[8,4,4,9,9,9,9,8,9,9,1,8],[8,9,8,5,9,8,9,8,9,9,1,9],[8,8,5,8,9,5,8,9,8,8,1,9],[9,9,9,8,9,8,9,8,5,9,1,9],[5,9,9,9,8,5,9...	0	dataset=solve_rotate group=flipa predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=d
simon-solve-v1 predict raw pixels for O2T	I0 19 19 4,,f4c7g4,,,,f48b7g4,f4a8a7g4,f4c7g4,f48787g4,f4c8g4,4,,,,,,, O0 2 3 7,87,8 I1 24 18 4,,,,,,,f4c7a87a8g4,f4b78a78a7g4,f47a8e7g4,f48g7g4,4,,,,,, O1 3 2 7a8,8a7 I2T 12 20 4,,,,,,d48b7b4,d4a8a7b4,d4c7b4,d48787b4,d4c8b4,d4c7b4,,,,4,,,, O2T None	87 88 77	{"train":[{"input":[[4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,7,7,7,7,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,7,7,7,7,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,7,7,7,7,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,7,7,7,7,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,8,7,7,7,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,8,8,7...	0	dataset=solve_fractal group=fractal_to_pattern predict=rawpixels earlier_prediction=none image_width=large image_height=medium task_pixels=c
SIMON-SOLVE-VERSION1, 'O3T', predict the raw pixels	I0 25 6 f818b1d81f8,8a1a8181d81a81b831828,13132818121813a8a60a82b8,a8a318a1a821c6b8a02a82,a1a8383d6818a181830838,a818b6a83c8383a81810a8 O0 25 6 a818b6a83c8383a81810a8,a1a8383d6818a181830838,a8a318a1a821c6b8a02a82,13132818121813a8a60a82b8,8a1a8181d81a81b831828,f818b1d81f8 I1 6 26 3,,,,,,,,,c373,,,,,a39373,,b3937,,c397,,...	94499492222422334449 49944949227222227764	{"train":[{"input":[[8,8,8,8,8,8,8,1,8,1,1,1,8,8,8,8,8,1,8,8,8,8,8,8,8],[8,1,1,8,8,1,8,1,8,8,8,8,8,1,8,8,1,8,8,8,3,1,8,2,8],[1,3,1,3,2,8,1,8,1,2,1,8,1,3,8,8,6,6,0,8,8,2,8,8,8],[8,8,3,3,1,8,1,1,8,8,2,1,6,6,6,6,8,8,8,0,0,2,8,8,2],[1,1,8,8,3,8,3,6,6,6,6,6,8,1,8,1,1,8,1,8,3,0,8,3,8],[8,8,1,8,6,6,6,8,8,3,8,8,8,8,3,8,3,8,8,1...	0	dataset=solve_rotate group=flipy predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=c
simon-solve-version1 'O3T' predict the raw pixels	I0 7 8 6b16a1,c1616,b16a16,a16c1,a6b161,a16a161,16a16a1,c1616 O0 7 8 9b19a1,c1919,b19a19,a19c1,a9b191,a19a191,19a19a1,c1919 I1 8 7 c161a6,a1a616a1,d1b6,61616161,c161a6,b1a6161,1a6b161 O1 8 7 c191a9,a1a919a1,d1b9,91919191,c191a9,b1a9191,1a9b191 I2 7 19 b6c1,16161a6,a1a6a16,a6c16,b16b1,61c61,a616161,b1c6,a6b161,6c161,16d...	1191911911991111111 1111191191191119119 1911111911911911119 1111119111911999111 9111911191119111911 1111119111191111111 1991191199191111919 1119111199199199191 9191191119191119119 1191111919191191911 9111911111991111119 1119991111199111119 1991999111919991111 1911911111111911911 1911919111199991911 1191919111111111191 ...	{"train":[{"input":[[6,1,1,1,6,1,1],[1,1,1,1,6,1,6],[1,1,1,6,1,1,6],[1,1,6,1,1,1,1],[6,6,1,1,1,6,1],[1,1,6,1,1,6,1],[1,6,1,1,6,1,1],[1,1,1,1,6,1,6]],"output":[[9,1,1,1,9,1,1],[1,1,1,1,9,1,9],[1,1,1,9,1,1,9],[1,1,9,1,1,1,1],[9,9,1,1,1,9,1],[1,1,9,1,1,9,1],[1,9,1,1,9,1,1],[1,1,1,1,9,1,9]]},{"input":[[1,1,1,1,6,1,6,6],[1,...	0	dataset=solve_color group=replace_color_same_palette no_padding predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
simonsolveversion1, 'O3T', predict the raw pixels	I0 20 7 4,,k4a35a3b4,k4a65a3b4,k4397a3b4,1j4363a2b4,k4a38a3b4 O0 5 5 a35a3,a65a3,397a3,363a2,a38a3 I1 18 16 4,,,n41a4,4,f4a7529e4,f4a0252e4,4,p41,4,,,,,o414,4 O1 15 2 a7529a7529a7529,a0252a0252a0252 I2 15 18 4,,,e41g4,4,,,,,,,,h4b9a59,b41d4c569,h49296a9,h49a68a9,h46892a9,4 O2 12 5 b9a5c9a59,c569c569,9296b9296a9,9a68b9a...	888708887088870 677006770067700 600006000060000 000000000000000 000000000000000 000000000000000	{"train":[{"input":[[4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4,4,4,3,3,5,3,3,4,4,4],[4,4,4,4,4,4,4,4,4,4,4,4,6,6,5,3,3,4,4,4],[4,4,4,4,4,4,4,4,4,4,4,4,3,9,7,3,3,4,4,4],[1,4,4,4,4,4,4,4,4,4,4,4,3,6,3,2,2,4,4,4],[4,4,4,4,4,4,4,4,4,4,4,4,3,3,8,3,3,4,4,4]],"outp...	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 predict pixels for 'O2T'	I0 12 18 958e95a9,5d9589898,5d98985a9,f95a915,d989a4819,8a989a4b919,989a4d919,8a4c98a918,89859898a919,a8589589a819,b9898985919,5b985b9195,9859a8b9195,d958951a9,f9a81a9,9a8c9891a9,895c9a8189,e9a89859 O0 18 12 9895b98b9a5d9,b9g1d985,58598c989e18,a9894c985a958989,98954a9a898b9c8,958a94b98b98b98,c984a9858585c9,e94c9a8d9,d9...	5555555555 9555355555 5955355555 5575359553 5987355593 5528355935 5522385535 9522358355 5522375305 5925353055 5552393095 9552330759 5552330755 5552305569 5552325655 5593052655 5593552555 5552555955 5555555555 5555555555 9555555955	{"train":[{"input":[[9,5,8,9,9,9,9,9,9,5,9,9],[5,9,9,9,9,9,5,8,9,8,9,8],[5,9,9,9,9,9,8,9,8,5,9,9],[9,9,9,9,9,9,9,5,9,9,1,5],[9,9,9,9,9,8,9,4,4,8,1,9],[8,9,9,8,9,4,4,9,9,9,1,9],[9,8,9,4,4,9,9,9,9,9,1,9],[8,4,4,9,9,9,9,8,9,9,1,8],[8,9,8,5,9,8,9,8,9,9,1,9],[8,8,5,8,9,5,8,9,8,8,1,9],[9,9,9,8,9,8,9,8,5,9,1,9],[5,9,9,9,8,5,9...	0	dataset=solve_rotate group=rotate_ccw predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=d
simon-solve-v1, 'O3T', predict the raw pixels	I0 27 8 3,k35m3,k3a10a8i3,k391a89i3,3,k35m3,,3 O0 5 6 a10a8,91a89,a10a8,91a89,a10a8,91a89 I1 29 6 j35j35d3,3,z335,p35j3,d35m39a8a0c3,s38a9a0c3 O1 5 10 9a8a0,8a9a0,9a8a0,8a9a0,9a8a0,8a9a0,9a8a0,8a9a0,9a8a0,8a9a0 I2 17 26 3,,,,,,,i38b9b3,i39898b3,h3589a8b3,i38968b3,m35a3,3,,,,,,,,,,,,, O2 4 8 8b9,9898,89a8,8968,8b9,9898,...	277 277 427 427 142 712 277 277 427 427 142 712 277 277 427 427 142 712 277 277 427 427 142 712 277 277 427 427 142 712	{"train":[{"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],[3,3,3,3,3,3,3,3,3,3,3,3,5,3,3,3,3,3,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3,3,3,3,3,1,1,0,8,8,3,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3,3,3,3,3,9,1,8,8,9,3,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3,3,3...	0	dataset=solve_count group=count_pixels_and_repeat_input_pattern repeat_y predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=d
SIMON-SOLVE-VERSION1 predict raw pixels for 'O2T'	I0 14 23 3,,,,b30c6b06a3,b360e60a3,b3606060a60a3,b3b6c0a6a3,b3f606a3,b36060d6a3,b3060c606a3,b3d60b6a3,b3e6a06a3,b3b6060a60a3,b3c606060a3,b30c60606a3,b3d60606a3,b306060c6a3,3,,,, O0 14 23 3,,,,b36c3b6b3,c36e36a3,c363636a36a3,e3c6c3,i36b3,c3636f3,b3636c36b3,g36d3,h3a6b3,e3636a36a3,f363636a3,b36c3636b3,g3636b3,b363636e3,3...	333333333333 333333333333 333333333333 333333333333 333333333333 363333333333 333636333333 366633663333 363366633333 333333663333 336633633333 336636633333 336666633333 333336333333 366666363333 336333633333 336633633333 366633363333 366663363333 333336663333 333333663333 336366663333 366666633333 333333333333 33333333...	{"train":[{"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],[3,3,3,3,3,3,3,3,3,3,3,3,3,3],[3,3,3,0,6,6,6,6,0,0,0,6,3,3],[3,3,3,6,0,6,6,6,6,6,6,0,3,3],[3,3,3,6,0,6,0,6,0,6,6,0,3,3],[3,3,3,6,6,6,0,0,0,0,6,6,3,3],[3,3,3,6,6,6,6,6,6,6,0,6,3,3],[3,3,3,6,0,6,0,6,6,6,6,6,3,3],...	0	dataset=solve_color group=replace_color_different_palettes padding palette_e predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=d
simonsolveversion1 'O3T' predict the pixels	I0 11 28 5e95095,191951a50a9,15c919019,91a91b9019,1a9d1091,19a19a19015,b915959019,a19191590a5,91b9159097,c91a92a47,9a1959a4079,c9a412071,a1a90a927a9,a9a10192709,b910197901,5b10a97909,9a105972909,b90a972909,b509792905,1a909591505,1a905a91905,1970c9509,a7b15a9105,19b7a5a909,5a191b7509,1a91c9a71,19515b1b9,b959b1919 O0 28 ...	77777 77073 92007 92770 69777 79007 09700 79030 76970 76923 72637 72637 03603 73677 70677 30270 77200 77237 07237 70270 30270	{"train":[{"input":[[5,9,9,9,9,9,9,5,0,9,5],[1,9,1,9,5,1,5,5,0,9,9],[1,5,9,9,9,9,1,9,0,1,9],[9,1,9,9,1,9,9,9,0,1,9],[1,9,9,1,1,1,1,1,0,9,1],[1,9,1,1,9,1,1,9,0,1,5],[9,9,9,1,5,9,5,9,0,1,9],[1,1,9,1,9,1,5,9,0,5,5],[9,1,9,9,9,1,5,9,0,9,7],[9,9,9,9,1,9,9,2,4,4,7],[9,1,1,9,5,9,4,4,0,7,9],[9,9,9,9,4,4,1,2,0,7,1],[1,1,9,9,0,9...	0	dataset=solve_rotate group=rotate_ccw predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=c
simon-solve-version1, 'O3T', predict the raw pixels	I0 11 24 2,,,,d2a676a2,d26a76a2,d27b6a2,,d2a7a6a2,,d2b67a2,d27b6a2,,d267a6a2,d27b6a2,d267a6a2,d2c6a2,d27676a2,,d2a676a2,d2c6a2,d2a7a6a2,d2c6a2,2 O0 4 19 a686,6a86,8b6,,a8a6,,b68,8b6,,68a6,8b6,68a6,6,8686,,a686,6,a8a6,6 I1 22 18 2,,,,,27k67a67a6a2,2d6b7j6a2,2h67a6767c6a2,2c67a67a67e676a2,2f67e67a676a2,2c67g67d6a2,26a7a6...	8666666668886666666 6666666686886666686 6886686686666666866 6868666666666666868 6686666666868666666 8666868666666866666 6866866666666668666 6668666666666868666 6666666866666668668 6868668666666666666 6686666688866686666 6866668666866666866 6686666886866666666 6686666666686866666 6666666886666688866	{"train":[{"input":[[2,2,2,2,2,2,2,2,2,2,2],[2,2,2,2,2,2,2,2,2,2,2],[2,2,2,2,2,2,2,2,2,2,2],[2,2,2,2,2,2,2,2,2,2,2],[2,2,2,2,2,6,6,7,6,2,2],[2,2,2,2,2,6,7,7,6,2,2],[2,2,2,2,2,7,6,6,6,2,2],[2,2,2,2,2,7,6,6,6,2,2],[2,2,2,2,2,7,7,6,6,2,2],[2,2,2,2,2,7,7,6,6,2,2],[2,2,2,2,2,6,6,6,7,2,2],[2,2,2,2,2,7,6,6,6,2,2],[2,2,2,2,2,7...	1	dataset=solve_color group=replace_color_same_palette crop predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=d
SIMONSOLVEVERSION1 predict pixels for 'O2T'	I0 12 18 958e95a9,5d9589898,5d98985a9,f95a915,d989a4819,8a989a4b919,989a4d919,8a4c98a918,89859898a919,a8589589a819,b9898985919,5b985b9195,9859a8b9195,d958951a9,f9a81a9,9a8c9891a9,895c9a8189,e9a89859 O0 18 12 d9a5b98b95989,58d9g1b9,8e198c989585,98985a958c9498a9,c8b989a8a945989,8b98b98b94a9859,c9585858a948c9,d9a8c94e9,f9...	5555555555 5555535559 5555535595 3559535755 3955537895 5395538255 5355832255 5538532259 5035732255 5503535295 5903932555 9570332559 5570332555 9655032555 5565232555 5562503955 5552553955 5595552555 5555555555 5555555555 5595555559	{"train":[{"input":[[9,5,8,9,9,9,9,9,9,5,9,9],[5,9,9,9,9,9,5,8,9,8,9,8],[5,9,9,9,9,9,8,9,8,5,9,9],[9,9,9,9,9,9,9,5,9,9,1,5],[9,9,9,9,9,8,9,4,4,8,1,9],[8,9,9,8,9,4,4,9,9,9,1,9],[9,8,9,4,4,9,9,9,9,9,1,9],[8,4,4,9,9,9,9,8,9,9,1,8],[8,9,8,5,9,8,9,8,9,9,1,9],[8,8,5,8,9,5,8,9,8,8,1,9],[9,9,9,8,9,8,9,8,5,9,1,9],[5,9,9,9,8,5,9...	0	dataset=solve_rotate group=flipb predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=d
SIMON-SOLVE-V1 predict raw pixels for 'O3T'	I0 17 1 a08a30g1083 O0 17 1 8 I1 1 28 9,4,,,,,,,,,,,,,9,,,,,,1,9,1,9,,,, O1 1 28 1,,,,,,,,,,,,,,,,,,,,,,,,,,, I2 20 20 656a5656b56b5a65a6,c5a65a656565656a56,b5a656d56a5a6a56,c656a5a6b56465a65,5b6a56565b684b656,5c65b6a5685456a56,6565a65a6b584565a65,a65e656b1b65a6,5a6b5d15a6b5656,a56b16a585b656a5a6,a565a6a586a5b6b565,6c5...	44444444444444 44444444444444 44444444444444 44444444444444 44444444444444 44444444444444 44444444444444	{"train":[{"input":[[0,0,8,3,3,0,1,1,1,1,1,1,1,1,0,8,3]],"output":[[8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8]]},{"input":[[9],[4],[4],[4],[4],[4],[4],[4],[4],[4],[4],[4],[4],[4],[9],[9],[9],[9],[9],[9],[1],[9],[1],[9],[9],[9],[9],[9]],"output":[[1],[1],[1],[1],[1],[1],[1],[1],[1],[1],[1],[1],[1],[1],[1],[1],[1],[1],[1],[1],[1...	0	dataset=solve_color group=mostleast_popular_color least_popular same predict=rawpixels earlier_prediction=none image_width=medium image_height=large task_pixels=c
simon-solve-version1 'O3T' predict the pixels	I0 9 6 a05a25b0,a05891b0,a08a15b0,a01595b0,0,c04c0 O0 4 4 5a25,5891,8a15,1595 I1 26 5 0,h04a856k0,e04b08656k0,i08695k0,i08598k0 O1 8 4 a856a856,86568656,86958695,859a8598 I2 8 30 0,,,,,,,,,c04b0,0,,,a04d0,0,,4f0,0,a2e0,31e0,91e0,96e0,a2e0,0,,,,,,4f0 O2 8 5 2,31313131,91919191,96969696,2 I3T 25 20 0,,,,,,e04q0,0,,,,,,e0...	636636 663663 683683	{"train":[{"input":[[0,0,5,2,2,5,0,0,0],[0,0,5,8,9,1,0,0,0],[0,0,8,1,1,5,0,0,0],[0,0,1,5,9,5,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,4,0,0,0,0]],"output":[[5,2,2,5],[5,8,9,1],[8,1,1,5],[1,5,9,5]]},{"input":[[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0,4,8,8,5,6,0,0,0,0,0,0,0,0,0,0,0,0],[0,0,0,0,...	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
SIMONSOLVEV1 predict pixels for 'O4T'	I0 13 13 4,,,,,,,k40,4,b40h4,4,, O0 8 2 9,2b92b9 I1 4 13 40a4,a404,4,,,,a040,4,,,0b4,4, O1 24 2 9,2b92b92b92b92b92b9 I2 6 12 4,,,,0d4,,4,b40a4,4,d40,4,0d4 O2 20 2 9,2b92b92b92b92b9 I3 10 10 4,,40g4,4,,d4a0b4,4,c4a0c4,4, O3 20 2 9,2b92b92b92b92b9 I4T 11 13 4,f40b4,4,,,,g40a4,a40g4,0b40d40,4,,, O4T None	999999999999999999999999 299929992999299929992999	{"train":[{"input":[[4,4,4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4,4,4,0],[4,4,4,4,4,4,4,4,4,4,4,4,4],[4,4,4,0,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4...	0	dataset=solve_count group=count_pixels_and_repeat_output_pattern repeat_x predict=rawpixels earlier_prediction=none image_width=large image_height=medium task_pixels=b
SIMON-SOLVE-VERSION1, O4T, predict raw pixels	I0 26 23 o86h8,8,,o85494a9c8,o8e7c8,8,,,,,,,,,,,,,,,,, O0 6 2 5494a9,7 I1 21 18 8,h86j8,j86h8,8,,,,,,s86,8,i86i8,8,h81352g8,h84b5g8,8,m86e8,8 O1 4 10 1352,4b5,1352,4b5,1352,4b5,1352,4b5,1352,4b5 I2 20 20 8,,,,,r86,h8c7f8,h8b73f8,h87b5f8,h8c7f8,,8,,,h86i8,8,,,,n86c8 O2 4 15 7,b73,7b5,7,,,b73,7b5,7,,,b73,7b5,7, I3T 29 5 ...	51 50 07 52 51 50 07 52 51 50 07 52 51 50 07 52	{"train":[{"input":[[8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,6,8,8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,5,4,9,4,9,9,8,8,8,8],[8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,7,7,7,7,7,7,8,8,8,8],[8,8,8,8,8,8,8,8,8,8,8,8,8,8,8...	1	dataset=solve_count group=count_pixels_and_repeat_input_pattern repeat_y predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=d
Simon-Solve-Version1 'O4T' predict the raw pixels	I0 36 36 k1c0g1c0g1,,,,k1w0,,,,o1c0g1c0c1,,,,1,,,,,,,,,,,,c0s1c0g1,,,,k0k1k0,,,,c1c0s1c0c1,,, O0 6 6 a0c1,,0,,a1a0a1, I1 36 16 k1c0g1c0g1,,,,o1g0c1g0,,,,c0z1d1,,,,c1g0w1,,, O1 6 4 a0c1,,a1c0, I2 36 16 g1c0g1c0k1,,,,c1g0c1g0k1,,,,g1c0w1,,,,c1g0w1,,, O2 6 4 c1a0,,a1c0, I3 36 16 c1c0s1c0c1,,,,g0o1g0c1,,,,z11c0c1,,,,w1g0c1...	0000 0000 1111 1111 0011 0011	{"train":[{"input":[[1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,1,1,1,1,1,1,1,1,0,0,0,0,1,1,1,1,1,1,1,1],[1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,1,1,1,1,1,1,1,1,0,0,0,0,1,1,1,1,1,1,1,1],[1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,1,1,1,1,1,1,1,1,0,0,0,0,1,1,1,1,1,1,1,1],[1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,1,1,1,1,1,1,1,1,0,0,0,0,1,1,1,1,1,1,1,1],[1,1...	0	dataset=solve_fractal group=fractal_to_pattern predict=rawpixels earlier_prediction=none image_width=other image_height=other task_pixels=e
simonsolvev1, 'O5T', predict the pixels	I0 24 15 25r25a2,f25a25c25g2,b25a25n242,r262a45,a25o264242,d25c25f2645452,52a5c25g254a2472,j2a5c24626467,e25e2b64b624a2,h2c6a24262524a2,c25285d2a826c24a2,f2a8a5a8a256b24b2,g2b85c26b245a2,e2a8a2a8b562b34b2,a5a2a8d25d3f2 O0 24 15 2,,,,,,,,,,,,,, I1 15 24 7,,,,,,h71d7,,g7175c7,,g71a75b7,f71b75b7,f70c75a7,,e70e757,,d70h7,,...	7777777777777777777 7777777777777777777 7777777777777777777 7777777777777777777 7777777777777777777 7777777777777777777 7777777777777777777 7777777777777777777 7777777777777777777 7777777777777777777	{"train":[{"input":[[2,5,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,5,2,2],[2,2,2,2,2,2,2,5,2,2,5,2,2,2,2,5,2,2,2,2,2,2,2,2],[2,2,2,5,2,2,5,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,4,2],[2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,6,2,4,4,5],[2,2,5,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,6,4,2,4,2],[2,2,2,2,2,5,2,2,2,2,5,2,2,2,2,2,2,2,6,4,5,4,5,2],...	1	dataset=solve_color group=mostleast_popular_color most_popular same predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=d
SIMON-SOLVE-V1, 'O4T', predict the raw pixels	I0 13 13 4,,,a4a101b0c4,a4a1a0101c4,a41c010c4,a4010c1c4,a4101b01c4,a4a010b1c4,a4a1b010c4,a4a10a1a0c4,4, O0 7 8 a151b5,a1a5151,1c515,515c1,151b51,a515b1,a1b515,a15a1a5 I1 16 19 4,d4c1a0a1b4,d41f0b4,d4c1a0a1b4,d4a0101010b4,d410b1a01b4,d4b1010a1b4,d4010d1b4,d4b0c10b4,d41b010a1b4,d4a1a0a1a0b4,d4a10c10b4,d4a0a101a0b4,d4g0b4...	551111151 555115551 151551555 551515151 515115111 111111511 151551555 155555115	{"train":[{"input":[[4,4,4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4,4,4,4],[4,4,1,1,0,1,0,0,0,4,4,4,4],[4,4,1,1,0,0,1,0,1,4,4,4,4],[4,4,1,0,0,0,0,1,0,4,4,4,4],[4,4,0,1,0,1,1,1,1,4,4,4,4],[4,4,1,0,1,0,0,0,1,4,4,4,4],[4,4,0,0,1,0,1,1,1,4,4,4,4],[4,4,1,1,0,0,0,1,0,4,4,4,4],[4,4,1,1,0,1,1,0,0,4...	0	dataset=solve_color group=replace_color_same_palette crop predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=d
SIMON-SOLVE-V1 predict raw pixels for O2T	I0 26 20 1715737a1c715757b1b757,f75c717a1a713a71b7,37571c7b1c73157a13717,73c715a75717a171a71317a1,a71a7a1b7a1b7a17a1737175,71b757b13517a1c7171b7,5c751a71a7175735d73a7,b1b7a513a7171571c713a7,1e7175c173f71a7,71b7a1751a71b71571a51a73,a7171e715a71d75a717,a17a1a7a17c15731a7a13a15,53i751b71b737175,1a7173c71a7a1713a731c7,731a...	77777777777777777777777 77777777777777777777777 77777777777777777777777 77777777777777777777777 77777777777777777777777 77777776667777777777777 77777777976666777777777 77777777977777663777777 77777777797772777377777 77777777797112777733777 77777777719727777777377 77777771179727777777737 77777117777977777777777 77777777...	{"train":[{"input":[[1,7,1,5,7,3,7,1,1,7,7,7,7,1,5,7,5,7,1,1,1,7,7,7,5,7],[7,7,7,7,7,7,7,5,7,7,7,7,1,7,1,1,7,7,1,3,7,7,1,7,7,7],[3,7,5,7,1,7,7,7,7,1,1,1,7,7,7,7,3,1,5,7,1,1,3,7,1,7],[7,3,7,7,7,7,1,5,7,7,5,7,1,7,1,1,7,1,7,7,1,3,1,7,1,1],[7,7,1,7,7,1,1,7,7,7,1,1,7,7,7,1,1,7,1,1,7,3,7,1,7,5],[7,1,7,7,7,5,7,1,1,1,3,5,1,7,1...	0	dataset=solve_rotate group=rotate_ccw predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=d
simon-solve-version1, 'O4T', predict the pixels	I0 16 15 4,d46f8b4,d468a68a68b4,d4686d8b4,d4a6b86a8b4,d4a6b8686b4,d4a8686b8b4,d4b86b86b4,d48c6b8b4,d4a6a8c6b4,d48a686868b4,d4d86a8b4,d4868a6a86b4,4, O0 16 15 4,d49f8b4,d498a98a98b4,d4989d8b4,d4a9b89a8b4,d4a9b8989b4,d4a8989b8b4,d4b89b89b4,d48c9b8b4,d4a9a8c9b4,d48a989898b4,d4d89a8b4,d4898a9a89b4,4, I1 20 20 4,,,c4d8686a8...	44444444444 44449898984 44448898994 44448999894 44449898994 44449988884 44448988884 44448998884 44448988994 44448988884 44448888894 44449988994 44449899884 44448989894 44448889984 44448899884 44448899884 44448998984 44448888884 44444444444	{"train":[{"input":[[4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,6,8,8,8,8,8,8,8,4,4,4],[4,4,4,4,4,6,8,6,6,8,6,6,8,4,4,4],[4,4,4,4,4,6,8,6,8,8,8,8,8,4,4,4],[4,4,4,4,4,6,6,8,8,8,6,8,8,4,4,4],[4,4,4,4,4,6,6,8,8,8,6,8,6,4,4,4],[4,4,4,4,4,8,8,6,8,6,8,8,8,4,4,4],[4,4,4,4,4,8,8,8,6,8,8,8,6,4,4,4],[4,4,4,4,4,8,6,6,6,6,8,8,8,4...	0	dataset=solve_color group=replace_color_same_palette padding predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=d
simon-solve-version1 predict pixels for O3T	I0 18 19 5,,,,,,5e2b1g5,,,5b1e2g5,,,5b2e1g5,,,5,,, O0 18 18 o1a2,,k1a2c1,,m1c2,,c1a2k1,,a2o1,,a1c2k1,,i1a2c1a2,,e1a2c1a2c1,,g1c2a1c2, I1 21 17 5,,,,,d5h1f5,,,d5h2f5,,,d5e2b1f5,,,5,, O1 18 18 2,,1,,c1a2c1a2c1a2,,1,,,,,,k1e2,,1,,o1a2, I2 18 22 5,,,,,,,,d5b2b1f5,,,d5b1b2f5,,,5,,,,,,, O2 8 8 e1a2,,c1a2a1,,a1a2c1,,a2e1, I3T...	22111111 22111111 22221111 22221111 11111111 11111111 22112211 22112211 22222222 22222222 11111111 11111111 11111111 11111111 11111111 11111111 11111111 11111111	{"train":[{"input":[[5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5],[5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5],[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],[5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5],[5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5],[5,2,2,2,2,2,2,1,1,1,5,5,5,5,5,5,5,5],[5,2,2,2,2,2,2,1,1,1,5,5,5,5,5,5,5...	0	dataset=solve_fractal group=pattern_to_fractal predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=d
simon-solve-v1, O3T, predict pixels	I0 22 30 7,,,,,,,,,,o70d7,7,,,,,,,o70d7,7,,,,,o7a29b2,o72b125,o7212a15,o721c2,7, O0 12 4 a29d29b2,2b1252b125,212a15212a15,21d21c2 I1 26 18 7,s70d7,7,,,t70c7,7,s79619a7,s71415a7,7,,,,m70j7,7,,, O1 12 2 961a961a9619,141514151415 I2 5 17 7,,,c70,7,,,9,b9a5,39438,b358,5a184,34b1,7,,, O2 5 6 9,b9a5,39438,b358,5a184,34b1 I3T...	353 334 311 313 436	{"train":[{"input":[[7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7,7,7,7...	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
simon-solve-version1 predict pixels for O4T	I0 27 21 2,s24e2,2,,l24l2,2,,,,,,s25a61672,s25a7a682,2,,,,,v24b2,2, O0 18 2 5a61675a61675a6167,5a7a685a7a685a7a68 I1 18 30 2,,,,,,,j267a1a92,j2163b12,j213a6a12,j23b9692,j215b162,g24h2,2,,,,,,,,e24g24a2,2,,,,m24b2,2,,a24n2 O1 30 5 67a1a967a1a967a1a967a1a967a1a9,163c163c163c163c163b1,13a6b13a6b13a6b13a6b13a6a1,3b9693b969...	07070707 06060606 50505050 68686868 78787878	{"train":[{"input":[[2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2],[2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,4,2,2,2,2,2,2],[2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2],[2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2],[2,2,2,2,2,2,2,2,2,2,2,2,2,4,2,2,2,2,2,2,2,2,2,2,2,2,2],[2,2,2,2,2,2,2,2,2,2...	0	dataset=solve_count group=count_pixels_and_repeat_input_pattern repeat_x predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=d
simon-solve-v1 predict pixels for 'O4T'	I0 5 7 6a969,9c6,a6b9,6c9,a9a69,9c6,6a9a6 O0 5 7 9a696,6c9,a9b6,9c6,a6a96,6c9,9a6a9 I1 7 18 e07,0a707a0,0,b07b0,0,7a0c7,c0707,a070a70,a07c0,0,e07,0,07b070,0,a07a0a7,0,7e0,0707b0 O1 7 18 e70,7a070a7,7,b70b7,7,0a7c0,c7070,a707a07,a70c7,7,e70,7,70b707,7,a70a7a0,7,0e7,7070b7 I2 18 4 a20f20f2,020a20b20b2a0a20,b20e20e20,2020...	7777767776767767777 7677777777777777777 7777776776777776677 7776777767776767777 7766777676767776777 7777777776767776777	{"train":[{"input":[[6,9,9,6,9],[9,6,6,6,6],[6,6,9,9,9],[6,9,9,9,9],[9,9,6,6,9],[9,6,6,6,6],[6,9,9,6,6]],"output":[[9,6,6,9,6],[6,9,9,9,9],[9,9,6,6,6],[9,6,6,6,6],[6,6,9,9,6],[6,9,9,9,9],[9,6,6,9,9]]},{"input":[[0,0,0,0,0,0,7],[0,7,7,0,7,0,0],[0,0,0,0,0,0,0],[0,0,0,7,0,0,0],[0,0,0,0,0,0,0],[7,0,0,7,7,7,7],[0,0,0,0,7,0,...	1	dataset=solve_color group=swap_colors predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b
simon-solve-version1 'O4T' predict the raw pixels	I0 19 31 7,,,,,,,e7a8a0c8d7,,e7c0c8d7,,e7g8d7,,,,,,,,e7a8a0a8a0d7,,e7g0d7,,e7g8d7,,7,,,,, O0 2 3 08,8,0 I1 30 22 7,,,,,,,d7a8a0i8a0a8f7,,d7c0g8c0a8f7,,d7m8a0a8f7,,d7k8c0a8f7,,7,,,,,, O1 3 2 080,a80 I2 17 18 7,,,e7c8a0a8b7,,e7e8a0b7,,e7a0e8b7,,e7a8a0c8b7,,7,,,,,, O2 2 2 80,08 I3 25 24 7,7e8a0c8a0c8e7,,7g8c0a8c0e7,,7e8c0...	088 008	{"train":[{"input":[[7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,8,8,0,0...	0	dataset=solve_fractal group=fractal_to_pattern predict=rawpixels earlier_prediction=none image_width=large image_height=other task_pixels=d
SIMON-SOLVE-VERSION1 predict pixels for 'O2T'	I0 27 17 0b73e70b70a70a73a0a75,5a05a7a0d7a07570b70c7,a3070b7375d7070735737a0,30c707037a070b705b07307,b70b70a7b0a707c0a7c0,0b705b7a0707a07c1350b7,070703a7a07e1b7a3d7,7a07a3073a70h7037a07,50a70c73a75a750a730730a70,c7070b7a0c750c7a3b7,a7a0f70707b05a0a3c7,b70e73a753d0b73707,53a7307b07c0b7a03073070,c0a70a705070b70730a73070,...	665666566 556665666 666656665 666555656 666666656 666566665 566566566 656565666 666666564 696663446 669544865 559473865 667768566 676958556 635583655 535685366 536859365 636869356 536866956 368656965 368655665 385555655 386665666 356666666 365665666	{"train":[{"input":[[0,7,7,7,3,7,7,7,7,7,7,0,7,7,7,0,7,7,0,7,7,3,0,0,7,7,5],[5,0,0,5,7,7,0,0,7,7,7,7,7,0,0,7,5,7,0,7,7,7,0,7,7,7,7],[3,3,0,7,0,7,7,7,3,7,5,7,7,7,7,7,0,7,0,7,3,5,7,3,7,0,0],[3,0,7,7,7,7,0,7,0,3,7,0,0,7,0,7,7,7,0,5,0,0,0,7,3,0,7],[7,7,7,0,7,7,7,0,7,7,0,0,0,7,7,0,7,0,0,0,0,7,7,0,0,0,0],[0,7,7,7,0,5,7,7,7,0...	0	dataset=solve_rotate group=rotate_180 predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=c
simon-solve-version1 predict raw pixels for O3T	I0 13 11 g43c4,4,,f43d4,4,,,,,,3k4 O0 3 2 6,9 I1 14 9 4,,3l4,4,,,g43d4,4, O1 2 2 6,9 I2 12 4 3e43c4,4,,c434a343a4 O2 6 2 6,9 I3T 12 12 4,,,,j43,4,,a43h4,4,,, O3T None	66 99	{"train":[{"input":[[4,4,4,4,4,4,4,4,3,4,4,4,4],[4,4,4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,3,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4,4,4,4],[3,4,4,4,4,4,4,4,4,4...	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
SIMON-SOLVE-V1 predict raw pixels for 'O4T'	I0 8 11 6,,b60a606,6,,,f60,6,,,e606 O0 3 16 492,937,385,a83,492,937,385,a83,492,937,385,a83,492,937,385,a83 I1 9 8 6,,e6a06,6,,,, O1 3 8 492,937,385,a83,492,937,385,a83 I2 8 8 6,,60e6,6,,c60a60,6,0a60c6 O2 3 20 492,937,385,a83,492,937,385,a83,492,937,385,a83,492,937,385,a83,492,937,385,a83 I3 7 7 60d6,6,0d60,60d6,6,,a6...	492 937 385 883 492 937 385 883 492 937 385 883 492 937 385 883	{"train":[{"input":[[6,6,6,6,6,6,6,6],[6,6,6,6,6,6,6,6],[6,6,6,0,6,6,0,6],[6,6,6,6,6,6,6,6],[6,6,6,6,6,6,6,6],[6,6,6,6,6,6,6,6],[6,6,6,6,6,6,6,0],[6,6,6,6,6,6,6,6],[6,6,6,6,6,6,6,6],[6,6,6,6,6,6,6,6],[6,6,6,6,6,6,0,6]],"output":[[4,9,2],[9,3,7],[3,8,5],[8,8,3],[4,9,2],[9,3,7],[3,8,5],[8,8,3],[4,9,2],[9,3,7],[3,8,5],[8,...	0	dataset=solve_count group=count_pixels_and_repeat_output_pattern repeat_y predict=rawpixels earlier_prediction=none image_width=small image_height=medium task_pixels=b
SIMONSOLVEVERSION1, 'O3T', predict the raw pixels	I0 9 8 d85871,181212857,b0a81287,805c085,a1a05a8a2,8581a8218,18182a1a8,5185a8218 O0 8 9 51818018,1851a0a8,81805018,581a0828,82850818,81a80125,212802a8,1812a857,b825a71 I1 8 22 9,f97,e979,d97a9,,c97b9,9,,,,,,,,,,,,b9b2a9,a9a6c9,a6e9,9 O1 22 8 96s9,,a96r9,a962q9,b92k97d9,b92l9a7b9,r97a9,s979 I2T 22 14 343b4a34d34f3,3b434...	04044440444042204044444044444 44644460044440422244640446044 04444464040604412422444444400 44406440444641102440222644404 00464004444110040206488884440 44464444111404888288843064044 00004011888888444420444306644 44441188400064440424404340464 40644004444444404024044430004 44444604460044066662666113600 04404066666666604442...	{"train":[{"input":[[8,8,8,8,8,5,8,7,1],[1,8,1,2,1,2,8,5,7],[0,0,0,8,8,1,2,8,7],[8,0,5,0,0,0,0,8,5],[1,1,0,0,5,8,8,2,2],[8,5,8,1,8,8,2,1,8],[1,8,1,8,2,1,1,8,8],[5,1,8,5,8,8,2,1,8]],"output":[[5,1,8,1,8,0,1,8],[1,8,5,1,0,0,8,8],[8,1,8,0,5,0,1,8],[5,8,1,0,0,8,2,8],[8,2,8,5,0,8,1,8],[8,1,8,8,0,1,2,5],[2,1,2,8,0,2,8,8],[1,...	1	dataset=solve_rotate group=rotate_cw predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=c
simonsolvev1 predict pixels for O4T	I0 16 14 c1h7171,1b71a7a171b717,1c7a1e7171,1a71g7a1a7,j7b171,7a1g71c7,b71717a1a7a1717,717a171h7,b717a171a71c7,c71c7a171b7,a7a1g7a171,a1f7a1d7,7a1g71b71,1a7b1a71d717 O0 16 14 c8h1818,8b18a1a818b181,8c1a8e1818,8a18g1a8a1,j1b818,1a8g18c1,b18181a8a1a8181,181a818h1,b181a818a18c1,c18c1a818b1,a1a8g1a818,a8f1a8d1,1a8g18b18,8a1...	58555555 85555858 55558555 55585888 55858555 55585855 88855588 85558555 55555555 55585585 55885555 85858588 55555585 85585558	{"train":[{"input":[[1,1,1,1,7,7,7,7,7,7,7,7,7,1,7,1],[1,7,7,7,1,7,7,1,1,7,1,7,7,7,1,7],[1,7,7,7,7,1,1,7,7,7,7,7,7,1,7,1],[1,7,7,1,7,7,7,7,7,7,7,7,1,1,7,7],[7,7,7,7,7,7,7,7,7,7,7,1,1,1,7,1],[7,1,1,7,7,7,7,7,7,7,7,1,7,7,7,7],[7,7,7,1,7,1,7,1,1,7,7,1,1,7,1,7],[7,1,7,1,1,7,1,7,7,7,7,7,7,7,7,7],[7,7,7,1,7,1,1,7,1,7,7,1,7,7...	0	dataset=solve_color group=replace_color_different_palettes no_padding palette_b predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
simonsolvev1 predict pixels for 'O3T'	I0 21 24 9,,,,,,,,c9c7c1c7d9,,,,c9c1c7c1d9,,,,9,,,,,,, O0 9 4 c17c1,b1717b1,17d171,717b1717 I1 11 24 9,,,,,,9c1c7a9,,,,9g1a9,,,,9g7a9,,,,9,,,,, O1 4 9 7b1,a7a1,1,7171,7,1,,, I2 24 15 9,,e9g7c1e9,,,,e9c7g1e9,,,,e9c1g7e9,,,,9 O2 9 9 g17,f1a7,e17a1,d17a17,c1a71a7,b17a17a1,a17e1,1a7e1,7g1 I3T 20 26 9,,,,,,,,e9c7g1a9,,,,e9g...	111177177 111117117 111711711 111111177 111111117 111111711 177111111 117111111 711111111	{"train":[{"input":[[9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9],[9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9],[9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9],[9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9],[9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9],[9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9],[9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9...	0	dataset=solve_fractal group=pattern_to_fractal predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=c
Simon-Solve-Version1 'O4T' predict the raw pixels	I0 27 14 j4090a4a0h4,j4649a43d4030a4,g4306a49l4,c43c46a404924343f4,d43a46a40b492i4,c40346g492h4,40d464a340a439i4,d4363b4b3b49a42043b4,d46a43e4b39a42b404,b436h4303439a32b40,b46d43h4d1b4,f4k109b40a4,3e1n6b404,3c43j43b40d4 O0 14 27 k4a3,e40d414,k414,h436414,b4340b46a414,c4a3436b413,f46c414,d4a63b4164,a4346b43a4164,a406a43...	99000000099300000022220309000 03009000009222222293003090900 90000222222903009000009000000 04444440000009993000030300900 00090304444444444443990000900 99000000030090000004444440909	{"train":[{"input":[[4,4,4,4,4,4,4,4,4,4,4,0,9,0,4,4,0,0,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4,4,6,4,9,4,4,3,4,4,4,4,4,0,3,0,4,4],[4,4,4,4,4,4,4,4,3,0,6,4,4,9,4,4,4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,3,4,4,4,4,6,4,4,0,4,9,2,4,3,4,3,4,4,4,4,4,4,4],[4,4,4,4,4,3,4,4,6,4,4,0,4,4,4,9,2,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,0,3,4,6,4,4...	0	dataset=solve_rotate group=flipa predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=d
SIMONSOLVEVERSION1 predict pixels for 'O3T'	I0 21 7 8686a8a6a832a83685838,b8638a38368a638640a6,86a836b83868f08,6868683e0686a3498,3n5b295,b836826a868682b8468,36a863a836386a8638432 O0 7 21 86a8582,360a963,8a042a4,54032a8,8603283,6806586,a308528,86065a8,86805a6,28605a8,3680563,8a30586,b80583,6380568,6383528,a868583,8a365a6,a6a8538,b865a8,6868586,b86383 I1 7 12 b6a7...	6 6 8 8 8 8 8 7 7 1 1 8 8 8 8 3	{"train":[{"input":[[8,6,8,6,8,8,6,6,8,8,3,2,8,8,3,6,8,5,8,3,8],[8,8,8,6,3,8,3,3,8,3,6,8,6,6,3,8,6,4,0,6,6],[8,6,8,8,3,6,8,8,8,3,8,6,8,0,0,0,0,0,0,0,8],[6,8,6,8,6,8,3,0,0,0,0,0,0,6,8,6,3,3,4,9,8],[3,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,2,2,2,9,5],[8,8,8,3,6,8,2,6,8,8,6,8,6,8,2,8,8,8,4,6,8],[3,6,8,8,6,3,8,8,3,6,3,8,6,8,8,6,3,8...	1	dataset=solve_rotate group=rotate_ccw predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=b

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Version 1

A combination of multiple datasets.

Datasets: dataset_solve_color.jsonl, dataset_solve_rotate.jsonl, dataset_solve_translate.jsonl.

Version 2

Datasets: dataset_solve_color.jsonl, dataset_solve_rotate.jsonl, dataset_solve_translate.jsonl.

Version 3

Datasets: dataset_solve_color.jsonl, dataset_solve_rotate.jsonl, dataset_solve_translate.jsonl.

Version 4

Added a shared dataset name for all these datasets: SIMON-SOLVE-V1. There may be higher version numbers in the future. My hypothesis: Having a version number in the dataset name, it may be easier to unlearn incorrect training data.

Datasets: dataset_solve_color.jsonl, dataset_solve_rotate.jsonl, dataset_solve_translate.jsonl.

Version 5

Different random seed.

Version 6

Using SIMON-SOLVE-V1 everywhere. Remove the SIMON-SOLVE-COLOR, SIMON-SOLVE-ROTATE, SIMON-SOLVE-TRANSLATE.

Version 7

Using SIMON-SOLVE-V1 everywhere.

Version 8

Same settings. Different seed as usual.

Version 9

Switching from context length 256 to context length 512.

Increasing the image sizes so the prompt length stays below 512.

dataset_solve_color, image size: 1-13.

dataset_solve_rotate, image size: 1-9.

dataset_solve_translate, image size: 3-9.

Version 10

Same settings. Different seed as usual.

Version 11

Same settings. Different seed as usual.

Version 12

Added 1 more pair to the examples. Now it's 2-4 examples. Previously it was 2-3 examples.

Version 13

Same settings. Different seed as usual.

Version 14

Same settings. Different seed as usual.

Version 15

Same settings. Different seed as usual.

Version 16

Added Predict the output image.

Disabled prediction of rows.

Disabled prediction of height.

Verison 17

Same settings. Different seed as usual.

Using the DatasetGenerator and the DatasetItemListBuilder.

Verison 18

Added datasets.

Datasets:

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

Verison 19

Added dataset.

Datasets:

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

Verison 20

Bigger images.

Verison 21

Added dataset. Disabled some datasets.

Datasets:

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

Verison 22

Added dataset.

Datasets:

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

Bigger image sizes.

Number of rows=200k. Was previously 100k rows.

Verison 23

datset_mass.jsonl. increased to max_mass=5.

Verison 24

datset_mass.jsonl. increased to max_mass=6.

Verison 25

different seed.

Verison 26

datset_mass.jsonl. increased to max_mass=25.

different seed.

Verison 27

different seed.

Verison 28

different seed.

Verison 29

different seed.

Verison 30

different seed.

Verison 31

different seed.

Verison 32

different seed.

Verison 33

Disabled some dataset.

Datasets:

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

Verison 34

Enabled all datasets.

Version 35

Regenerated all datasets with new random seeds.

Verison 36

Added dataset dataset_scale.jsonl.

Disabled some dataset.

Datasets:

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

Verison 37

Enabled all datasets

Datasets:

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

Verison 38

Added dataset

Datasets:

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

Version 39

Regenerated all datasets with new random seeds.

Version 40

Added dataset

Datasets:

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

Version 41

Regenerated all datasets with new random seeds.

Version 42

Added dataset. Disabled some datasets.

Datasets:

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

Version 43

Enabled all datasets.

Version 44

Regenerated all datasets with new random seeds.

Version 45

Extended the dataset_shape.jsonl with these new PixelConnectivity types: CORNER4, LR2, TB2, TLBR2, TRBL2. Hopefully it makes the model better at making sense of diagonal structures, which is something it's terrible at at the moment.

Version 46

Regenerated all datasets with new random seeds.

Version 47

Added dataset. Disabled some datasets.

Datasets:

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

Version 48

Enabled all datasets.

Version 49

Bigger max_mass. From 6 to 8.

Version 50

Added dataset.

Datasets:

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

Version 51

Regenerated all datasets with new random seeds.

Version 52

Regenerated all datasets with new random seeds.

Version 53

Regenerated all datasets with new random seeds.

Version 54

Added dataset.

Datasets:

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

Version 55

Added dataset. Disabled most datasets.

Datasets:

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

Version 56

Enabled all datasets.

Datasets:

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

Version 57

Regenerated all datasets with new random seeds.

Version 58

Disabled most datasets.

Datasets:

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

Version 59

Added new datasets.

Disabled most datasets.

Datasets:

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

Version 60

Incremented random seed

Datasets:

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

Version 61

Enabled all datasets.

More padding inside the dataset_solve_fractal.jsonl.

Version 62

All datasets still enabled.

Turning up the parameter for dataset_solve_fractal.jsonl. scale_input from 3 to 4. scale_output from 3 to 4. max_image_size from 3 to 4. max_pad_count from 4 to 5.

Version 63

Disabled several datasets.

Datasets:

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

Version 64

Added dataset.

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

Datasets:

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

Version 65

random seed.

Version 66

Disabled some datasets.

Datasets:

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

Version 67

Disabled some datasets.

Datasets:

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

Version 68

Enabled all datasets.

Version 69

Different random seed.

Version 70

Different random seed.

Version 71

Different random seed.

Version 72

Different random seed.

Version 73

Different random seed.

Version 74

Major update to dataset_solve_symmetry.jsonl.

Version 75

Different random seed.

Version 76

Disabled some datasets.

Datasets:

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

Version 77

Enabled all datasets.

Version 78

Major update to dataset_solve_symmetry.jsonl.

Version 79

Different random seed.

Version 80

Different random seed.

Version 81

Different random seed.

Version 82

Added dataset.

Datasets:

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

Version 83

Disabled datasets that doesn't solve ARC puzzles.

Datasets:

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

Version 84

Added dataset dataset_solve_grid.jsonl.

Disabled datasets that doesn't solve ARC puzzles.

Datasets:

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

Version 85

Disabled datasets that doesn't solve ARC puzzles.

Datasets:

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

Version 86

Enabled all datasets.

Version 87

Disabled datasets that doesn't solve ARC puzzles.

Datasets:

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

Version 88

Added dataset dataset_solve_probecolor.jsonl with all directions enabled.

Disabled datasets that doesn't solve ARC puzzles.

Datasets:

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

Version 89

Enabled all datasets.

Datasets:

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

Version 90

Disabled some of the datasets.

Datasets:

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

Version 91

Added dataset.

Enabled all datasets.

Datasets:

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

Version 92

Different random seed.

Version 93

Added dataset.

Datasets:

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

Version 94

Added dataset.

Disabled datasets that doesn't solve ARC tasks.

Datasets:

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

Version 95

Added dataset.

Datasets:

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

Version 96

Datasets:

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

Version 97

Disabled the first half of the datasets.

Datasets:

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

Version 98

Disabled the last half of the datasets.

Datasets:

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

Version 99

Disabled the 1/4th of the datasets.

Datasets:

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

Version 100

Added dataset.

Datasets:

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

Version 101

Disabled the non solving datasets.

Datasets:

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

Version 102

Added dataset

Datasets:

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

Version 103

Different random seed.

Version 104

Disabled the non solving datasets.

Datasets:

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

Version 105

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

Datasets:

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

Version 106

Different random seed.

Version 107

Added dataset

Datasets:

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

Version 108

Added dataset

Datasets:

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

Version 109

Different random seed.

Version 110

Added dataset

Datasets:

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

Version 111

Different random seed.

Version 112

Different random seed.

Version 113

Different random seed.

Version 114

Major update to the dataset_solve-mass.jsonl, so it now includes mass_compare_adjacent_rows and mass_compare_adjacent_columns.

Version 115

Added dataset

Datasets:

dataset_cellular_automaton.jsonl
dataset_dilation.jsonl
dataset_erotion.jsonl
dataset_histogram.jsonl
dataset_image.jsonl
dataset_image_pair.jsonl
dataset_mass.jsonl
dataset_scale.jsonl
dataset_shape.jsonl
dataset_solve_bool.jsonl
dataset_solve_boundingbox.jsonl
dataset_solve_color.jsonl
dataset_solve_compress.jsonl
dataset_solve_edge.jsonl
dataset_solve_erosion.jsonl
dataset_solve_flip.jsonl
dataset_solve_fractal.jsonl
dataset_solve_gravity.jsonl - added
dataset_solve_grid.jsonl
dataset_solve_half.jsonl
dataset_solve_halfplane.jsonl
dataset_solve_mask.jsonl
dataset_solve_mass.jsonl
dataset_solve_outline.jsonl
dataset_solve_probecolor.jsonl
dataset_solve_ray.jsonl
dataset_solve_rotate.jsonl
dataset_solve_scale.jsonl
dataset_solve_symmetry.jsonl
dataset_solve_translate.jsonl
dataset_solve_zindex.jsonl
dataset_symmetry.jsonl

Version 116

Hypothesis. What if I train with a smaller dataset, will it converge faster? Reduced the number of rows in this dataset from 300k rows to 10k rows.

Version 117

Interesting, 10k rows seems to work fine with the model training. Picked new random rows.

Version 118

Still going with 10k rows. Picked new random rows.

Version 119

Still going with 10k rows. Picked new random rows.

Version 120

Switched to 20k rows.

Version 121

Still going with 20k rows. Picked new random rows.

Version 122

20k rows.

Added dataset_solve_reverse.jsonl.

Version 123

Doubled the number of rows to 40k rows.

Version 124

Set row count to 100k rows.

Major update to dataset_solve_gravity.jsonl.

Version 125

Row count: 100k rows.

Version 126

Row count: 20k rows.

Only these datasets are enabled:

dataset_solve_bool.jsonl
dataset_solve_boundingbox.jsonl
dataset_solve_color.jsonl
dataset_solve_compress.jsonl
dataset_solve_edge.jsonl
dataset_solve_erosion.jsonl
dataset_solve_flip.jsonl
dataset_solve_fractal.jsonl
dataset_solve_gravity.jsonl
dataset_solve_grid.jsonl
dataset_solve_half.jsonl
dataset_solve_halfplane.jsonl
dataset_solve_mask.jsonl
dataset_solve_mass.jsonl
dataset_solve_outline.jsonl
dataset_solve_probecolor.jsonl
dataset_solve_ray.jsonl
dataset_solve_reverse.jsonl
dataset_solve_rotate.jsonl
dataset_solve_scale.jsonl
dataset_solve_symmetry.jsonl
dataset_solve_translate.jsonl
dataset_solve_zindex.jsonl

Version 127

Row count: 20k rows.

Only these datasets are enabled:

dataset_solve_scale.jsonl
dataset_solve_symmetry.jsonl
dataset_solve_translate.jsonl
dataset_solve_zindex.jsonl

Version 128

Row count: 20k rows.

Only these datasets are enabled:

dataset_solve_probecolor.jsonl
dataset_solve_ray.jsonl
dataset_solve_reverse.jsonl
dataset_solve_rotate.jsonl

Version 129

Row count: 20k rows.

Only these datasets are enabled:

dataset_solve_gravity.jsonl
dataset_solve_grid.jsonl
dataset_solve_half.jsonl
dataset_solve_halfplane.jsonl
dataset_solve_mask.jsonl
dataset_solve_mass.jsonl
dataset_solve_outline.jsonl

Version 130

Row count: 20k rows.

Only these datasets are enabled:

dataset_solve_bool.jsonl
dataset_solve_boundingbox.jsonl
dataset_solve_color.jsonl
dataset_solve_compress.jsonl
dataset_solve_edge.jsonl
dataset_solve_erosion.jsonl
dataset_solve_flip.jsonl
dataset_solve_fractal.jsonl

Version 131

Switched back to 300k rows.

Enabled all the datasets.

Version 132

Random seed.

Version 133

Removed the rows that are longer than what can be fitted inside a 512 context length.

Version 134

Random seed.

Version 135

Random seed.

Version 136

Major update to the dataset_solve_gravity.jsonl file.

Version 137

Added dataset dataset_solve_skew.jsonl.

Version 138

Disabled several datasets.

# 'dataset_cellular_automaton.jsonl',
# 'dataset_dilation.jsonl',
# 'dataset_erosion.jsonl',
# 'dataset_histogram.jsonl',
# 'dataset_image.jsonl',
# 'dataset_image_pair.jsonl',
# 'dataset_mass.jsonl',
# 'dataset_scale.jsonl',
# 'dataset_shape.jsonl',
# 'dataset_solve_bool.jsonl',
'dataset_solve_boundingbox.jsonl',
'dataset_solve_color.jsonl',
'dataset_solve_compress.jsonl',
'dataset_solve_edge.jsonl',
'dataset_solve_erosion.jsonl',
'dataset_solve_flip.jsonl',
'dataset_solve_fractal.jsonl',
'dataset_solve_gravity.jsonl',
'dataset_solve_grid.jsonl',
'dataset_solve_half.jsonl',
# 'dataset_solve_halfplane.jsonl',
'dataset_solve_mask.jsonl',
'dataset_solve_mass.jsonl',
'dataset_solve_outline.jsonl',
'dataset_solve_probecolor.jsonl',
# 'dataset_solve_ray.jsonl',
# 'dataset_solve_reverse.jsonl',
'dataset_solve_rotate.jsonl',
'dataset_solve_scale.jsonl',
# 'dataset_solve_skew.jsonl',
'dataset_solve_symmetry.jsonl',
'dataset_solve_translate.jsonl',
'dataset_solve_zindex.jsonl',
# 'dataset_symmetry.jsonl',

Version 139

Disabled several datasets.

'dataset_cellular_automaton.jsonl',
'dataset_dilation.jsonl',
'dataset_erosion.jsonl',
'dataset_histogram.jsonl',
'dataset_image.jsonl',
'dataset_image_pair.jsonl',
'dataset_mass.jsonl',
'dataset_scale.jsonl',
'dataset_shape.jsonl',
'dataset_solve_bool.jsonl',
# 'dataset_solve_boundingbox.jsonl',
# 'dataset_solve_color.jsonl',
# 'dataset_solve_compress.jsonl',
# 'dataset_solve_edge.jsonl',
# 'dataset_solve_erosion.jsonl',
# 'dataset_solve_flip.jsonl',
# 'dataset_solve_fractal.jsonl',
# 'dataset_solve_gravity.jsonl',
# 'dataset_solve_grid.jsonl',
# 'dataset_solve_half.jsonl',
'dataset_solve_halfplane.jsonl',
# 'dataset_solve_mask.jsonl',
# 'dataset_solve_mass.jsonl',
# 'dataset_solve_outline.jsonl',
# 'dataset_solve_probecolor.jsonl',
'dataset_solve_ray.jsonl',
'dataset_solve_reverse.jsonl',
# 'dataset_solve_rotate.jsonl',
# 'dataset_solve_scale.jsonl',
'dataset_solve_skew.jsonl',
# 'dataset_solve_symmetry.jsonl',
# 'dataset_solve_translate.jsonl',
# 'dataset_solve_zindex.jsonl',
'dataset_symmetry.jsonl',

Version 140

Enabled all datasets.

Added new dataset: dataset_solve_cross.jsonl.

Version 141

Switched to 30k rows.

Disabled several datasets.

# 'dataset_cellular_automaton.jsonl',
# 'dataset_dilation.jsonl',
# 'dataset_erosion.jsonl',
# 'dataset_histogram.jsonl',
# 'dataset_image.jsonl',
# 'dataset_image_pair.jsonl',
# 'dataset_mass.jsonl',
# 'dataset_scale.jsonl',
# 'dataset_shape.jsonl',
# 'dataset_solve_bool.jsonl',
'dataset_solve_boundingbox.jsonl',
'dataset_solve_color.jsonl',
'dataset_solve_compress.jsonl',
# 'dataset_solve_cross.jsonl',
'dataset_solve_edge.jsonl',
'dataset_solve_erosion.jsonl',
'dataset_solve_flip.jsonl',
'dataset_solve_fractal.jsonl',
# 'dataset_solve_gravity.jsonl',
'dataset_solve_grid.jsonl',
'dataset_solve_half.jsonl',
# 'dataset_solve_halfplane.jsonl',
'dataset_solve_mask.jsonl',
'dataset_solve_mass.jsonl',
'dataset_solve_outline.jsonl',
'dataset_solve_probecolor.jsonl',
'dataset_solve_ray.jsonl',
# 'dataset_solve_reverse.jsonl',
'dataset_solve_rotate.jsonl',
'dataset_solve_scale.jsonl',
'dataset_solve_skew.jsonl',
'dataset_solve_symmetry.jsonl',
'dataset_solve_translate.jsonl',
# 'dataset_solve_zindex.jsonl',
# 'dataset_symmetry.jsonl',

Version 142

Switched to 300k rows.

Enabled all datasets.

Switched from 512 context to 1024 context.

Version 143

Bigger images in dataset_solve_cross.jsonl and in dataset_solve_mass.jsonl.

Version 144

Major update to dataset_solve_symmetry.jsonl.

Version 145

Added dataset_solve_span.jsonl.

Version 146

Extended dataset_solve_span.jsonl with generate_task_with_template_lines.

Version 147

Extended dataset_solve_span.jsonl with generate_task_with_alternate.

Version 148

Added dataset_solve_count.jsonl.

Version 149

Randomized.

Version 150

Upgraded context length for several datasets from 512 to 1024.

Version 151

Randomized.

Version 152

Randomized.

Version 153

Extended dataset_solve_mask.jsonl with generate_task_repair_rectangle_and_crop.

Version 154

Extended dataset_solve_color.jsonl with generate_task_replace_color.

Version 155

Major update to datasets in the range from dataset_solve_axxx.jsonl to dataset_solve_mask.jsonl. Now there is an earlier prediction for the output that is to be predicted. It may contain a hint, or it may be garbage that is to be ignored.

Version 156

Only 2000 rows.

Only these datasets. 'dataset_cellular_automaton.jsonl', 'dataset_dilation.jsonl', 'dataset_erosion.jsonl', 'dataset_histogram.jsonl', 'dataset_image.jsonl', 'dataset_image_pair.jsonl', 'dataset_mass.jsonl', 'dataset_scale.jsonl', 'dataset_shape.jsonl', 'dataset_symmetry.jsonl',

Version 157

Only these datasets.

'dataset_solve_bool.jsonl',
'dataset_solve_boundingbox.jsonl',
'dataset_solve_color.jsonl',
'dataset_solve_compress.jsonl',
'dataset_solve_count.jsonl',
'dataset_solve_cross.jsonl',
'dataset_solve_edge.jsonl',
'dataset_solve_erosion.jsonl',
'dataset_solve_flip.jsonl',
'dataset_solve_fractal.jsonl',
'dataset_solve_gravity.jsonl',
'dataset_solve_grid.jsonl',
'dataset_solve_half.jsonl',
'dataset_solve_halfplane.jsonl',
'dataset_solve_mask.jsonl',
'dataset_solve_mass.jsonl',
'dataset_solve_outline.jsonl',
'dataset_solve_probecolor.jsonl',
'dataset_solve_ray.jsonl',
'dataset_solve_reverse.jsonl',
'dataset_solve_rotate.jsonl',
'dataset_solve_scale.jsonl',
'dataset_solve_span.jsonl',
'dataset_solve_skew.jsonl',
'dataset_solve_symmetry.jsonl',
'dataset_solve_translate.jsonl',
'dataset_solve_zindex.jsonl',

Version 158

Only these datasets.

dataset_solve_boundingbox.jsonl
dataset_solve_rectangle.jsonl

Versin 159

Enabled all the _solve_ datasets.

Version 160

Regenerated all the _solve_ datasets with new seed.

Version 161

Regenerated all the _solve_ datasets with new seed.

Version 162

Replaced RLE compressed response with raw pixel response.

Version 163

Added more generators

DatasetSolveCount
DatasetSolveCross
DatasetSolveEdge
DatasetSolveErosion
DatasetSolveFlip
DatasetSolveFractal

Version 164

Increased row count from 1000 to 2000.

Version 165

Added more generators.

Version 166

Added more generators.

Version 167

Added more generators.

Version 168

Added more generators.

Version 169

Generated data.

Version 170

Generated data.

Version 171

Generated data.

Increased output context length from 256 to 512.

Downloads last month: 12

Size of downloaded dataset files:

11.1 MB

Size of the auto-converted Parquet files:

2.6 MB

Number of rows:

2,000