Datasets:

neoneye
/

simon-arc-combine-v162

instruction stringlengths 33 51	input stringlengths 66 1.63k	output stringlengths 1 223	arc_task stringlengths 149 5.04k	test_index int64 0 1	benchmark stringclasses 112 values
Simon-Solve-V1 'O5T' predict the pixels	I0 11 8 6,d67d6,,c6167c6,,f67b6,,g67a6 O0 7 5 6,a67c6,6167b6,c67a6,d676 I1 8 10 e010,,,,,f01,,,, O1 3 2 010,a01 I2 10 3 39c349a3,d239a49,39b3d2 O2 8 3 39a349a3,b239a49,393d2 I3 10 2 317f1,b15e0 O3 5 2 317a1,b150 I4T 2 2 4,2 O4T None I5T 8 11 d21a2,,c20120,d21a2,2b07102,c21b2,0b21a02,a2021202,a20212a0,c21b2,20a21202 O5T...	22222122 22220120 22222122 20007102 22221222 02221002 22021202 22021200 22221222 20221202	{"train":[{"input":[[6,6,6,6,6,6,6,6,6,6,6],[6,6,6,6,6,7,6,6,6,6,6],[6,6,6,6,6,7,6,6,6,6,6],[6,6,6,6,1,6,7,6,6,6,6],[6,6,6,6,1,6,7,6,6,6,6],[6,6,6,6,6,6,6,7,6,6,6],[6,6,6,6,6,6,6,7,6,6,6],[6,6,6,6,6,6,6,6,7,6,6]],"output":[[6,6,6,6,6,6,6],[6,6,7,6,6,6,6],[6,1,6,7,6,6,6],[6,6,6,6,7,6,6],[6,6,6,6,6,7,6]]},{"input":[[0,0,...	1	dataset=solve_compress group=compressxy predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=a
simon-solve-version1 predict raw pixels for O2T	I0 6 4 3d6,7d5,5,a5a3a5 O0 4 4 3b6,7b5,5,a535 I1 8 10 c01b0,,,,0a101b0,c01b0,,,0, O1 5 4 b010,01010,b010,0 I2T 4 12 4b3,4303,4b3,,45a3,4393,1495,1093,1935,09a3,01a3,3a53 O2T None I3T 12 2 e301a0a1,16b18d30 O3T None	4333 4303 4333 4533 4393 1495 1093 1935 0933 0133 3553	{"train":[{"input":[[3,6,6,6,6,6],[7,5,5,5,5,5],[5,5,5,5,5,5],[5,5,3,3,5,5]],"output":[[3,6,6,6],[7,5,5,5],[5,5,5,5],[5,5,3,5]]},{"input":[[0,0,0,0,1,0,0,0],[0,0,0,0,1,0,0,0],[0,0,0,0,1,0,0,0],[0,0,0,0,1,0,0,0],[0,1,1,0,1,0,0,0],[0,0,0,0,1,0,0,0],[0,0,0,0,1,0,0,0],[0,0,0,0,1,0,0,0],[0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0]],...	0	dataset=solve_compress group=compressxy predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=a
SIMON-SOLVE-V1 'O4T' predict the pixels	I0 3 11 5,,3a5,5,545,5,,,,, O0 3 11 1,,a91,,,1,,,,, I1 4 6 5,,7b5,5,,b59 O1 4 6 1,,9,,, I2 14 14 5,,,,j59a5,5,,,,,,,,j52a5 O2 14 14 1,,,,j19a1,,,,,,,,, I3T 4 11 54a5,5,,,,a585,5,,,, O3T None I4T 8 13 a586c5,5,,,,6f5,5,,,e575,5,, O4T None	99999991 99999991 99999991 99999991 99999991 99999991 99999991 99999991 99999991 99999991 11111111 11111111 11111111	{"train":[{"input":[[5,5,5],[5,5,5],[3,5,5],[5,5,5],[5,4,5],[5,5,5],[5,5,5],[5,5,5],[5,5,5],[5,5,5],[5,5,5]],"output":[[1,1,1],[1,1,1],[9,9,1],[9,9,1],[9,9,1],[1,1,1],[1,1,1],[1,1,1],[1,1,1],[1,1,1],[1,1,1]]},{"input":[[5,5,5,5],[5,5,5,5],[7,5,5,5],[5,5,5,5],[5,5,5,5],[5,5,5,9]],"output":[[1,1,1,1],[1,1,1,1],[9,9,9,9],...	1	dataset=solve_boundingbox group=boundingbox_of_lonely_pixels filled predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b
simonsolvev1 predict raw pixels for O5T	I0 6 4 a20b2,a20202,d20,02a0a2 O0 6 4 a27b2,a27272,d27,72a7a2 I1 4 4 b26,26a2,b26,26a2 O1 4 4 b27,27a2,b27,27a2 I2 4 4 24a2,2a42,4a24,b42 O2 4 4 27a2,2a72,7a27,b72 I3 4 6 2,,,12a1,2,21a2 O3 4 6 2,,,72a7,2,27a2 I4T 6 3 a25252,a5a2a5,b25a2 O4T None I5T 3 7 292,a92,2a9,,2,,a29 O5T None	272 772 277 277 222 222 227	{"train":[{"input":[[2,2,0,2,2,2],[2,2,0,2,0,2],[2,2,2,2,2,0],[0,2,0,0,2,2]],"output":[[2,2,7,2,2,2],[2,2,7,2,7,2],[2,2,2,2,2,7],[7,2,7,7,2,2]]},{"input":[[2,2,2,6],[2,6,2,2],[2,2,2,6],[2,6,2,2]],"output":[[2,2,2,7],[2,7,2,2],[2,2,2,7],[2,7,2,2]]},{"input":[[2,4,2,2],[2,4,4,2],[4,2,2,4],[4,4,4,2]],"output":[[2,7,2,2],[...	1	dataset=solve_color group=replace_color_different_palettes no_padding palette_a predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a
simon-solve-v1, O5T, predict raw pixels	I0 10 31 e65b6,h65,6,d65c6,d65b65,6,c65d6,f65a6,5g65,6,e65a65,f65a6,a65f6,e65b6,g656,0,84g8,48a48b484,a4b84c8,a8a4a84848,c84b8a4,e4c8,a4c848a4,484b8a484,4a8d4a8,8484848a48,848484a848,484a848484,c48c48,484b848a4,c4a8c4 O0 10 15 30c30b3,03a03b0a3,a0b30c3,a3a03a0303,c3a0a303,e0c3,a0a30303a0,030b30a30,b3d030,3030303a03,303...	0300 3030 0030	{"train":[{"input":[[6,6,6,6,6,6,5,6,6,6],[6,6,6,6,6,6,6,6,6,5],[6,6,6,6,6,6,6,6,6,6],[6,6,6,6,6,5,6,6,6,6],[6,6,6,6,6,5,6,6,6,5],[6,6,6,6,6,6,6,6,6,6],[6,6,6,6,5,6,6,6,6,6],[6,6,6,6,6,6,6,5,6,6],[5,6,6,6,6,6,6,6,6,5],[6,6,6,6,6,6,6,6,6,6],[6,6,6,6,6,6,5,6,6,5],[6,6,6,6,6,6,6,5,6,6],[6,6,5,6,6,6,6,6,6,6],[6,6,6,6,6,6,5...	1	dataset=solve_bool group=xor predict=rawpixels earlier_prediction=none image_width=small image_height=other task_pixels=c
SIMON-SOLVE-VERSION1 predict pixels for 'O2T'	I0 8 7 4,4b565a4,4a5b6a4,4c56a4,4a6a56a4,4, O0 8 7 4,4b696a4,4a6b9a4,4c69a4,4a9a69a4,4, I1 6 8 4,,4a5154,451a54,415154,4c54,,4 O1 6 8 4,,4a1914,419a14,491914,4c14,,4 I2T 7 10 4,,4d54,,,453a534,4b5354,45a3a54,4b5a34,4 O2T None	4444444 4444444 4333334 4333334 4333334 4393394 4333934 4399334 4333994 4444444	{"train":[{"input":[[4,4,4,4,4,4,4,4],[4,5,5,5,6,5,4,4],[4,5,5,6,6,6,4,4],[4,5,5,5,5,6,4,4],[4,6,6,5,5,6,4,4],[4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4]],"output":[[4,4,4,4,4,4,4,4],[4,6,6,6,9,6,4,4],[4,6,6,9,9,9,4,4],[4,6,6,6,6,9,4,4],[4,9,9,6,6,9,4,4],[4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4]]},{"input":[[4,4,4,4,4,4],[4,4,4,4,4,...	0	dataset=solve_color group=replace_color_different_palettes padding palette_b predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a
Simon-Solve-V1 predict pixels for 'O3T'	I0 4 9 8,,a818,b81,81a8,8,,a818,8181 O0 4 7 8,a818,b81,81a8,8,a818,8181 I1 9 6 c27c2,a28725b2,a527d2,a275a6525,a25a256a2,f262 O1 8 6 b27c2,28725b2,527d2,275a6525,25a256a2,e262 I2 2 7 34,,,74,,,4 O2 2 3 34,74,4 I3T 7 12 5,,,,,,,,,,, O3T None I4T 3 11 210,2a0,240,,824,124,120,,a18,,a71 O4T None	5	{"train":[{"input":[[8,8,8,8],[8,8,8,8],[8,8,1,8],[8,8,8,1],[8,1,8,8],[8,8,8,8],[8,8,8,8],[8,8,1,8],[8,1,8,1]],"output":[[8,8,8,8],[8,8,1,8],[8,8,8,1],[8,1,8,8],[8,8,8,8],[8,8,1,8],[8,1,8,1]]},{"input":[[2,2,2,2,7,2,2,2,2],[2,2,8,7,2,5,2,2,2],[5,5,2,7,2,2,2,2,2],[2,2,7,5,6,6,5,2,5],[2,2,5,2,2,5,6,2,2],[2,2,2,2,2,2,2,6,...	0	dataset=solve_compress group=compressxy predict=rawpixels earlier_prediction=none image_width=small image_height=medium task_pixels=a
SIMON-SOLVE-VERSION1 predict raw pixels for 'O5T'	I0 5 1 8c3 O0 5 1 8 I1 1 2 0, O1 1 2 0, I2 3 5 a31,131,,1a3,313 O2 3 5 1,,,, I3 2 3 1,19, O3 2 3 9,, I4T 5 5 4c9,14b9,94b9,9a6a9,6c9 O4T None I5T 4 7 2,,,a272,2a82,27a2,a282 O5T None	7777 7777 7777 7777 7777 7777 7777	{"train":[{"input":[[8,3,3,3,3]],"output":[[8,8,8,8,8]]},{"input":[[0],[0]],"output":[[0],[0]]},{"input":[[3,3,1],[1,3,1],[1,3,1],[1,3,3],[3,1,3]],"output":[[1,1,1],[1,1,1],[1,1,1],[1,1,1],[1,1,1]]},{"input":[[1,1],[1,9],[1,9]],"output":[[9,9],[9,9],[9,9]]}],"test":[{"input":[[4,9,9,9,9],[1,4,9,9,9],[9,4,9,9,9],[9,6,6,...	1	dataset=solve_color group=mostleast_popular_color least_popular same predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a
simon-solve-v1 'O2T' predict the pixels	I0 5 8 a87a8,387a8,a87a8,a8738,a87a8,,a87a3,a87a8 O0 2 8 1,51,1,51,1,,5,1 I1 25 12 b8383e873b83f8,8a3a8b3a8387a3b83e8,83b8383c87a83e83a8,b8b383b837k8,d8b383a873j8,3g8b37k8,838a3b8a3837e83d8,383b8a3a838783i8,83838a3a8a387k8,8a3a8a383a8373h838,c8383c8373j8,a38b3b83837i838 O1 12 12 5a1b5e1,515b1a5a151,1a5a151515a1,b1b515b...	55151 11115 51151 51155 51151 11111 51155 51515 55115 15555 11551 15555 11551	{"train":[{"input":[[8,8,7,8,8],[3,8,7,8,8],[8,8,7,8,8],[8,8,7,3,8],[8,8,7,8,8],[8,8,7,8,8],[8,8,7,3,3],[8,8,7,8,8]],"output":[[1,1],[5,1],[1,1],[5,1],[1,1],[1,1],[5,5],[1,1]]},{"input":[[8,8,8,3,8,3,8,8,8,8,8,8,7,3,8,8,8,3,8,8,8,8,8,8,8],[8,3,3,8,8,3,3,3,8,8,3,8,7,3,3,8,8,8,3,8,8,8,8,8,8],[8,3,8,8,8,3,8,3,8,8,8,8,7,8,...	0	dataset=solve_bool group=xor predict=rawpixels earlier_prediction=none image_width=large image_height=medium task_pixels=c
SIMONSOLVEVERSION1 predict raw pixels for O2T	I0 5 6 3,c34,b346,a3a46,b4a5,3 O0 4 6 3,b34,a346,3a46,a4a5,3 I1 4 12 9389,3989,9686,6389,39a8,a9a8,3868,,9898,4898,6a48,9296 O1 4 11 9389,3989,9686,6389,39a8,a9a8,3868,9898,4898,6a48,9296 I2T 2 9 67,08,,,78,07,7,, O2T None I3T 8 6 e878,,76c878,8a7a6968,b879a68,c896a8 O3T None	67 08 78 07 77	{"train":[{"input":[[3,3,3,3,3],[3,3,3,3,4],[3,3,3,4,6],[3,3,4,4,6],[4,4,4,5,5],[3,3,3,3,3]],"output":[[3,3,3,3],[3,3,3,4],[3,3,4,6],[3,4,4,6],[4,4,5,5],[3,3,3,3]]},{"input":[[9,3,8,9],[3,9,8,9],[9,6,8,6],[6,3,8,9],[3,9,8,8],[9,9,8,8],[3,8,6,8],[3,8,6,8],[9,8,9,8],[4,8,9,8],[6,4,4,8],[9,2,9,6]],"output":[[9,3,8,9],[3,9...	0	dataset=solve_compress group=compressxy predict=rawpixels earlier_prediction=none image_width=small image_height=medium task_pixels=a
SIMONSOLVEV1 predict raw pixels for O3T	I0 12 8 2,,,,b26g2,2,e27d2,2 O0 12 8 8,,,,,c8a9e8,8, I1 7 13 8b27a2,2,,,,,,a28c2,2,e28,2,, O1 7 13 8,8d98,,,,,,,,8,,, I2 5 3 3c2,a26a2,a29a2 O2 5 3 8,89b8,8 I3T 14 8 e26f2,b28i2,2,,c20h2,2,d29g2,2 O3T None	88888888888888 88889988888888 88889988888888 88889988888888 88889988888888 88889988888888 88888888888888 88888888888888	{"train":[{"input":[[2,2,2,2,2,2,2,2,2,2,2,2],[2,2,2,2,2,2,2,2,2,2,2,2],[2,2,2,2,2,2,2,2,2,2,2,2],[2,2,2,2,2,2,2,2,2,2,2,2],[2,2,2,6,2,2,2,2,2,2,2,2],[2,2,2,2,2,2,2,2,2,2,2,2],[2,2,2,2,2,2,7,2,2,2,2,2],[2,2,2,2,2,2,2,2,2,2,2,2]],"output":[[8,8,8,8,8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8,8,8,8,8],[8,...	0	dataset=solve_boundingbox group=boundingbox_of_lonely_pixels filled_inner predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b
simonsolvev1 predict pixels for 'O2T'	I0 6 4 4a0450,0a4a04,a405a4,05c4 O0 6 4 5,,, I1 6 7 896046,a84909,984604,984b8,89a485,a86868,a84698 O1 6 7 5,,,,,, I2T 7 2 a6a86a8,d686 O2T None I3T 5 6 a5b1,a1a51,a16a1,196a1,a1a91,1 O3T None	8888888 8888888	{"train":[{"input":[[4,0,0,4,5,0],[0,4,4,0,0,4],[4,4,0,5,4,4],[0,5,4,4,4,4]],"output":[[5,5,5,5,5,5],[5,5,5,5,5,5],[5,5,5,5,5,5],[5,5,5,5,5,5]]},{"input":[[8,9,6,0,4,6],[8,8,4,9,0,9],[9,8,4,6,0,4],[9,8,4,8,8,8],[8,9,4,4,8,5],[8,8,6,8,6,8],[8,8,4,6,9,8]],"output":[[5,5,5,5,5,5],[5,5,5,5,5,5],[5,5,5,5,5,5],[5,5,5,5,5,5],...	0	dataset=solve_color group=mostleast_popular_color least_popular same predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a
simon-solve-v1, O2T, predict raw pixels	I0 24 13 7b97b9a7i97b9,c979a7b9a7979797b979,97a97b97a9797c97d9,c7c97a97b979797c9,a97b9a79a7i97a9,b9797a9a79a7b97d979,a79a797b9a7h97a9,9a7a9c7a9a7j9,a9a7b979797a979a7e9,7b97l97d9,e97b9a7f97a979,a7a97a9b7a97a97e979,97a97a9797a97d9b7979 O0 12 13 7b17c17a1,717c17a1a7,c171717a17,b7a171a7a17,a17b1a7a171,7a1b7a1c7,a71a717a1b7...	17771711177 77711177111 71117777771 17111717717 71717177777 71711711177 71177171717	{"train":[{"input":[[7,9,9,9,7,9,9,9,7,7,9,9,9,9,9,9,9,9,9,9,7,9,9,9],[9,9,9,9,7,9,7,7,9,9,9,7,7,9,7,9,7,9,7,9,9,9,7,9],[9,7,9,9,7,9,9,9,7,9,9,7,9,7,9,9,9,9,7,9,9,9,9,9],[7,7,7,7,9,9,9,9,7,9,9,7,9,9,9,7,9,7,9,7,9,9,9,9],[9,9,7,9,9,9,7,7,9,7,7,9,9,9,9,9,9,9,9,9,9,7,9,9],[9,9,9,7,9,7,9,9,7,7,9,7,7,9,9,9,7,9,9,9,9,9,7,9],...	0	dataset=solve_bool group=xor predict=rawpixels earlier_prediction=none image_width=large image_height=medium task_pixels=b
Simon-Solve-V1, 'O3T', predict the pixels	I0 6 4 d03,9a4913,090943,b89a3 O0 6 4 1,,, I1 4 3 6a86,b76,a606 O1 4 3 0,, I2T 3 3 024,640,042 O2T None I3T 3 5 849,549,519,619,8a5 O3T None	666 666 666 666 666	{"train":[{"input":[[0,0,0,0,0,3],[9,4,4,9,1,3],[0,9,0,9,4,3],[8,8,8,9,3,3]],"output":[[1,1,1,1,1,1],[1,1,1,1,1,1],[1,1,1,1,1,1],[1,1,1,1,1,1]]},{"input":[[6,8,8,6],[7,7,7,6],[6,6,0,6]],"output":[[0,0,0,0],[0,0,0,0],[0,0,0,0]]}],"test":[{"input":[[0,2,4],[6,4,0],[0,4,2]],"output":[[6,6,6],[6,6,6],[6,6,6]]},{"input":[[8...	1	dataset=solve_color group=mostleast_popular_color least_popular same predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a
SIMON-SOLVE-VERSION1 predict raw pixels for 'O5T'	I0 5 11 b308,64a03,343a1,84b3,824a3,32483,82463,62436,32043,,328a0 O0 5 10 b308,64a03,343a1,84b3,824a3,32483,82463,62436,32043,328a0 I1 11 3 a9a2f8,51a9a251414,c515a25a4 O1 10 3 a92f8,519a251414,b515a25a4 I2 3 4 780,8a9,8a0, O2 3 3 780,8a9,8a0 I3 4 10 5a74,,3754,38a4,a847,5847,4845,8484,8a48,5058 O3 4 9 5a74,3754,38a4,...	88888888888 89988588888 84895688888 84885998888 84856889988 84858888668 84568866888 84586688888 85668888888 85888888888 88888888888	{"train":[{"input":[[3,3,3,0,8],[6,4,0,0,3],[3,4,3,1,1],[8,4,3,3,3],[8,2,4,3,3],[3,2,4,8,3],[8,2,4,6,3],[6,2,4,3,6],[3,2,0,4,3],[3,2,0,4,3],[3,2,8,0,0]],"output":[[3,3,3,0,8],[6,4,0,0,3],[3,4,3,1,1],[8,4,3,3,3],[8,2,4,3,3],[3,2,4,8,3],[8,2,4,6,3],[6,2,4,3,6],[3,2,0,4,3],[3,2,8,0,0]]},{"input":[[9,9,2,2,8,8,8,8,8,8,8],[...	1	dataset=solve_compress group=compressxy predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b
simon-solve-v1 'O3T' predict the raw pixels	I0 8 2 d40a7,e1a7 O0 3 2 407,a17 I1 9 12 6,d69b6,,c691b6,,b6961b6,,6b261b6,6296a2a36,629a61b6,62f6, O1 8 8 6,d69a6,c691a6,b6961a6,6b261a6,6296a236,629a61a6,62e6 I2T 2 5 78,87,,83,85 O2T None I3T 10 3 23e6a2,b2c42a4,a4b2a42a4 O3T None	2366662 2224424 4422424	{"train":[{"input":[[4,4,4,4,4,0,7,7],[1,1,1,1,1,1,7,7]],"output":[[4,0,7],[1,1,7]]},{"input":[[6,6,6,6,6,6,6,6,6],[6,6,6,6,6,9,6,6,6],[6,6,6,6,6,9,6,6,6],[6,6,6,6,9,1,6,6,6],[6,6,6,6,9,1,6,6,6],[6,6,6,9,6,1,6,6,6],[6,6,6,9,6,1,6,6,6],[6,2,2,2,6,1,6,6,6],[6,2,9,6,2,2,3,3,6],[6,2,9,6,6,1,6,6,6],[6,2,6,6,6,6,6,6,6],[6,2,...	1	dataset=solve_compress group=compressxy predict=rawpixels earlier_prediction=none image_width=small image_height=medium task_pixels=a
Simon-Solve-V1 predict raw pixels for O4T	I0 6 3 b25a2,5b2a5,b25a2 O0 6 3 b24a2,4b2a4,b24a2 I1 3 4 252,,5a2, O1 3 4 242,,4a2, I2 4 5 2,a252,2,5a25,5b2 O2 4 5 2,a242,2,4a24,4b2 I3T 5 3 2a5a2,a2525,b2a5 O3T None I4T 3 5 2a5,a25,2,, O4T None	244 224 222 222 222	{"train":[{"input":[[2,2,2,5,2,2],[5,2,2,2,5,5],[2,2,2,5,2,2]],"output":[[2,2,2,4,2,2],[4,2,2,2,4,4],[2,2,2,4,2,2]]},{"input":[[2,5,2],[2,5,2],[5,2,2],[5,2,2]],"output":[[2,4,2],[2,4,2],[4,2,2],[4,2,2]]},{"input":[[2,2,2,2],[2,2,5,2],[2,2,2,2],[5,2,2,5],[5,2,2,2]],"output":[[2,2,2,2],[2,2,4,2],[2,2,2,2],[4,2,2,4],[4,2,...	1	dataset=solve_color group=replace_color_same_palette no_padding predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a
simon-solve-v1 'O3T' predict the pixels	I0 5 7 74547,a45a4,a4574,a4547,47574,a45a7,a4574 O0 2 7 7,3,73,37,7,,73 I1 29 3 i47b45b4747c47474,7474747c47a45e47d4a7,a47a4a7474a7a45d47g4 O1 14 3 b3737e373,73737e3b7,a37b37373a7a3 I2 15 5 a4747a45a47b47,d4745f4,f45747b47,47c47547474a7,47b474547d4 O2 7 5 c3737,d373,737b37,b37373,d373 I3T 17 6 f475b4a7474,d47a45f47,74a...	33377377 33333737 33733337 77337377 33373777 33773777	{"train":[{"input":[[7,4,5,4,7],[4,4,5,4,4],[4,4,5,7,4],[4,4,5,4,7],[4,7,5,7,4],[4,4,5,7,7],[4,4,5,7,4]],"output":[[7,7],[3,3],[7,3],[3,7],[7,7],[7,7],[7,3]]},{"input":[[4,4,4,4,4,4,4,4,4,4,7,4,4,4,5,4,4,4,7,4,7,4,4,4,4,7,4,7,4],[7,4,7,4,7,4,7,4,4,4,4,7,4,4,5,4,4,4,4,4,4,7,4,4,4,4,4,7,7],[4,4,7,4,4,7,7,4,7,4,7,7,4,4,5,...	0	dataset=solve_bool group=xor predict=rawpixels earlier_prediction=none image_width=large image_height=small task_pixels=a
SIMONSOLVEVERSION1, O2T, predict raw pixels	I0 4 7 a363,3a63,3464,a363,3064,,a363 O0 4 6 a363,3a63,3464,a363,3064,a363 I1 7 12 5,,c52a5,,,d525,,,5c325,5,, O1 5 5 5,a52a5,b525,5a325,5 I2T 4 4 b48,4b0,b45, O2T None I3T 8 3 a08d0,8084c0,08a04b0 O3T None	448 400 445	{"train":[{"input":[[3,3,6,3],[3,6,6,3],[3,4,6,4],[3,3,6,3],[3,0,6,4],[3,0,6,4],[3,3,6,3]],"output":[[3,3,6,3],[3,6,6,3],[3,4,6,4],[3,3,6,3],[3,0,6,4],[3,3,6,3]]},{"input":[[5,5,5,5,5,5,5],[5,5,5,5,5,5,5],[5,5,5,5,2,5,5],[5,5,5,5,2,5,5],[5,5,5,5,2,5,5],[5,5,5,5,5,2,5],[5,5,5,5,5,2,5],[5,5,5,5,5,2,5],[5,3,3,3,3,2,5],[5,...	0	dataset=solve_compress group=compressxy predict=rawpixels earlier_prediction=none image_width=small image_height=medium task_pixels=a
simonsolveversion1 'O2T' predict the pixels	I0 10 3 b7a6b787,b71a6b17,8d19a72 O0 9 3 a7a6b787,a71a6b17,8c19a72 I1 3 8 565,a61,968,198,,598,9a8,925 O1 3 7 565,a61,968,198,598,9a8,925 I2T 8 3 5,a5a06b7,d56a5 O2T None	55555 50677 55565	{"train":[{"input":[[7,7,7,6,6,7,7,7,8,7],[7,7,7,1,6,6,1,1,1,7],[8,1,1,1,1,1,9,7,7,2]],"output":[[7,7,6,6,7,7,7,8,7],[7,7,1,6,6,1,1,1,7],[8,1,1,1,1,9,7,7,2]]},{"input":[[5,6,5],[6,6,1],[9,6,8],[1,9,8],[1,9,8],[5,9,8],[9,8,8],[9,2,5]],"output":[[5,6,5],[6,6,1],[9,6,8],[1,9,8],[5,9,8],[9,8,8],[9,2,5]]}],"test":[{"input":...	0	dataset=solve_compress group=compressxy predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a
simon-solve-v1 predict raw pixels for 'O2T'	I0 5 9 b616,,,a61a6,,6,,, O0 4 3 a616,61a6,6 I1 6 4 69c6,a69b6,b6a96,d69 O1 5 4 69b6,a69a6,b696,c69 I2T 6 11 765125,796a96,7a69a6,7591a9,7591a6,75a956,791a69,791656,,759565,569656 O2T None I3T 6 6 9,b90a9,,a90b9,, O3T None	765125 796996 766966 759199 759166 759956 791669 791656 759565 569656	{"train":[{"input":[[6,6,6,1,6],[6,6,6,1,6],[6,6,6,1,6],[6,6,1,6,6],[6,6,1,6,6],[6,6,6,6,6],[6,6,6,6,6],[6,6,6,6,6],[6,6,6,6,6]],"output":[[6,6,1,6],[6,1,6,6],[6,6,6,6]]},{"input":[[6,9,6,6,6,6],[6,6,9,6,6,6],[6,6,6,9,9,6],[6,6,6,6,6,9]],"output":[[6,9,6,6,6],[6,6,9,6,6],[6,6,6,9,6],[6,6,6,6,9]]}],"test":[{"input":[[7,...	0	dataset=solve_compress group=compressxy predict=rawpixels earlier_prediction=none image_width=small image_height=medium task_pixels=a
simon-solve-version1 predict raw pixels for O4T	I0 5 4 1,b132,1,a12a1 O0 5 4 1,,b161,1 I1 13 10 1,,,,d12c15a1,g19c1,h10a15,1,, O1 13 10 1,,,,,e1e61,1,,, I2 8 7 c12b1,1,,813d1,1,3f1,1 O2 8 7 1,1b6c1,1616c1,,1b6c1,1, I3 13 9 1,,d15d141,a17i1,a15i1,1,,, O3 13 9 1,,,b1g6a1,1,,,, I4T 6 11 1,,c151,1,b10a1,9d1,1,,,, O4T None I5T 8 4 c15153,1,,d13a1 O5T None	111111 111111 111111 166611 166611 111111 111111 111111 111111 111111 111111	{"train":[{"input":[[1,1,1,1,1],[1,1,1,3,2],[1,1,1,1,1],[1,1,2,1,1]],"output":[[1,1,1,1,1],[1,1,1,1,1],[1,1,1,6,1],[1,1,1,1,1]]},{"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],[1,1,1,1,1,2,1,1,1,1,5,1,1],[1,1,1,1,1,1,1,1,9,1,1,1,1],[1,1,1,1,1,1,...	0	dataset=solve_boundingbox group=boundingbox_of_lonely_pixels hollow_inner predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b
Simon-Solve-V1 predict pixels for 'O2T'	I0 8 15 c8a7a8,8,87e8,87a8a7a8,a8b78a7,87b8a78,87c878,9,606d0,0,,,a06d0,06c060,0 O0 8 7 4747a4a7,7,74e7,74a7a4a7,b7a47a4,d74a7,74c747 I1 11 25 c87e8,a8787e8,8,a8a7c8787,d8787b8,a8a787d8,787g8,c87a87b8,h878,d8c787,a87b87c8,d87c87,9,606b0b6a0,b06b06b0,60a60606060,b0a606c0,6060a6a0a60,c6b06a06,g0a60,6a06d0a6,a6a06a0b60,a0...	7447 7774 4477 7474 7777 4447	{"train":[{"input":[[8,8,8,8,7,7,8,8],[8,8,8,8,8,8,8,8],[8,7,8,8,8,8,8,8],[8,7,8,8,7,7,8,8],[8,8,7,7,7,8,7,7],[8,7,8,8,8,7,7,8],[8,7,8,8,8,8,7,8],[9,9,9,9,9,9,9,9],[6,0,6,0,0,0,0,0],[0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0],[0,0,6,0,0,0,0,0],[0,6,0,0,0,0,6,0],[0,0,0,0,0,0,0,0]],"output":[[4,7,4,7,4,4,7,7],[...	0	dataset=solve_bool group=xor predict=rawpixels earlier_prediction=none image_width=medium image_height=large task_pixels=b
simon-solve-v1, 'O3T', predict the raw pixels	I0 4 8 3,b38,,a381,,b31,3a43,42a3 O0 4 6 3,b38,a381,b31,3a43,42a3 I1 9 10 e25a2,d295a2,c295b2,a29295b2,b294c2,a2a4a29a2,24f2,4g2,2, O1 8 9 e252,d2952,c295a2,a29295a2,b294b2,a2a4a292,24e2,4f2,2 I2 8 2 040c51,90b9010 O2 7 2 040b51,90a9010 I3T 9 5 9,90f9,,a90e9, O3T None I4T 5 8 5,,c72,b525,a52a5,52b5,5, O4T None	9999 9099 9909	{"train":[{"input":[[3,3,3,3],[3,3,3,8],[3,3,3,8],[3,3,8,1],[3,3,8,1],[3,3,3,1],[3,4,4,3],[4,2,3,3]],"output":[[3,3,3,3],[3,3,3,8],[3,3,8,1],[3,3,3,1],[3,4,4,3],[4,2,3,3]]},{"input":[[2,2,2,2,2,2,5,2,2],[2,2,2,2,2,9,5,2,2],[2,2,2,2,9,5,2,2,2],[2,2,9,2,9,5,2,2,2],[2,2,2,9,4,2,2,2,2],[2,2,4,4,2,2,9,2,2],[2,4,2,2,2,2,2,2,...	0	dataset=solve_compress group=compressxy predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a
Simon-Solve-Version1 'O4T' predict the raw pixels	I0 6 9 c727,a7a273,794a73,761b7,641b7,64a747,74c7,b74a7, O0 6 8 c727,a7a273,794a73,761b7,641b7,64a747,74c7,b74a7 I1 9 10 f7a4,c7b472,a7a4c72,7,,,,,, O1 5 4 b7a4,a7472,74a72,7 I2 5 12 9,,94b9,,,,,,,,9, O2 3 3 9,949,9 I3T 12 5 5,a5c0e5,a53b5c8a5,a5c8e5,a53h5 O3T None I4T 5 3 7a8a7,7c5,7 O4T None	787 755 777	{"train":[{"input":[[7,7,7,7,2,7],[7,7,2,2,7,3],[7,9,4,7,7,3],[7,6,1,7,7,7],[6,4,1,7,7,7],[6,4,7,7,4,7],[7,4,7,7,7,7],[7,7,7,4,7,7],[7,7,7,4,7,7]],"output":[[7,7,7,7,2,7],[7,7,2,2,7,3],[7,9,4,7,7,3],[7,6,1,7,7,7],[6,4,1,7,7,7],[6,4,7,7,4,7],[7,4,7,7,7,7],[7,7,7,4,7,7]]},{"input":[[7,7,7,7,7,7,7,4,4],[7,7,7,7,4,4,4,7,2]...	1	dataset=solve_compress group=compressxy predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=a
simonsolveversion1 'O3T' predict the pixels	I0 8 4 b60c6,c60b6,,6 O0 4 3 60a6,a606,6 I1 8 8 5,,d51a5,c591a5,a5a8a515,a595a813,59c3a8,93e5 O1 8 7 5,d51a5,c591a5,a5a8a515,a595a813,59c3a8,93e5 I2T 6 3 a3c0,09a0a8,0 O2T None I3T 11 4 7,9c8c7a6,791a9171697,a79a17a19a7 O3T None	7777777777 9888777766 7919171697 7791711977	{"train":[{"input":[[6,6,6,0,6,6,6,6],[6,6,6,6,0,6,6,6],[6,6,6,6,0,6,6,6],[6,6,6,6,6,6,6,6]],"output":[[6,0,6,6],[6,6,0,6],[6,6,6,6]]},{"input":[[5,5,5,5,5,5,5,5],[5,5,5,5,5,5,5,5],[5,5,5,5,5,1,5,5],[5,5,5,5,9,1,5,5],[5,5,8,8,5,5,1,5],[5,5,9,5,8,8,1,3],[5,9,3,3,3,3,8,8],[9,3,5,5,5,5,5,5]],"output":[[5,5,5,5,5,5,5,5],[5...	1	dataset=solve_compress group=compressxy predict=rawpixels earlier_prediction=none image_width=medium image_height=small task_pixels=a
simonsolveversion1, 'O5T', predict the pixels	I0 11 4 8,i84,8,a80g8 O0 11 4 8i7,,, I1 6 3 c808,8,b8783 O1 6 3 a8c7,, I2 6 14 8,,,,,,,,87c8,8,,,,8189a8 O2 6 14 8,,,,,,,d78,,,,,, I3 13 5 1k8,8,h82b8,8, O3 13 5 j7a8,,,,8 I4T 14 14 8,i86b8,8,,,,a82j8,8,,,,,, O4T None I5T 11 4 8,h898,8,i82 O5T None	88888888777 88888888777 88888888777 88888888777	{"train":[{"input":[[8,8,8,8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8,8,8,4],[8,8,8,8,8,8,8,8,8,8,8],[8,8,0,8,8,8,8,8,8,8,8]],"output":[[8,7,7,7,7,7,7,7,7,7,7],[8,7,7,7,7,7,7,7,7,7,7],[8,7,7,7,7,7,7,7,7,7,7],[8,7,7,7,7,7,7,7,7,7,7]]},{"input":[[8,8,8,8,0,8],[8,8,8,8,8,8],[8,8,8,7,8,3]],"output":[[8,8,7,7,7,7],[8,8,7,7,7,7],[8,8...	1	dataset=solve_boundingbox group=boundingbox_of_lonely_pixels filled_outer predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b
SIMON-SOLVE-V1, 'O4T', predict the raw pixels	I0 6 12 7,b74a7,7,,,,a79b7,7,,,c767,7 O0 6 12 6,,b60a6,,,,,,,,6, I1 8 6 e727,7,,6b71787,7, O1 8 6 6,6d0a6,,6,, I2 12 4 e79d7,7,j75,c76e74 O2 12 4 6,d6e06,,6 I3 4 10 7,,,b72,7,,,,70a7,7 O3 4 10 6,,,,a606,,,,6, I4T 11 9 e74c7,g76a7,7,,,d73d7,7,4b76e7,7 O4T None	66666666666 60000000666 60666660666 60666660666 60666660666 60666660666 60000000666 66666666666 66666666666	{"train":[{"input":[[7,7,7,7,7,7],[7,7,7,4,7,7],[7,7,7,7,7,7],[7,7,7,7,7,7],[7,7,7,7,7,7],[7,7,7,7,7,7],[7,7,9,7,7,7],[7,7,7,7,7,7],[7,7,7,7,7,7],[7,7,7,7,7,7],[7,7,7,7,6,7],[7,7,7,7,7,7]],"output":[[6,6,6,6,6,6],[6,6,6,6,6,6],[6,6,6,0,6,6],[6,6,6,0,6,6],[6,6,6,0,6,6],[6,6,6,0,6,6],[6,6,6,0,6,6],[6,6,6,0,6,6],[6,6,6,0,...	0	dataset=solve_boundingbox group=boundingbox_of_lonely_pixels hollow_inner predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b
SIMONSOLVEV1, 'O4T', predict the pixels	I0 14 12 8,,,,,f83e8,8,2l8,8,,c89h8,8 O0 14 12 2,,,,,,2e1f2,21c21f2,,2e1f2,2, I1 9 12 b89b818,b85d8,8,d81b8,d85b8,8,,,,,, O1 9 12 2,c2b1a2,c2121a2,c2b1a2,2,,,,,,, I2 13 11 b83h8,8,,,,,,,e83e8,i87a8,8 O2 13 11 2,c2e1b2,c21c21b2,,,,,,c2e1b2,2, I3 13 10 8,g81c8,8,,c86c82b8,8,,e82e8,e89e8,8 O3 13 10 2,,d2c1c2,d21a21c2,,,,d...	22222222222 22211112222 22212212222 22212212222 22212212222 22211112222 22222222222 22222222222 22222222222	{"train":[{"input":[[8,8,8,8,8,8,8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,3,8,8,8,8,8,8],[8,8,8,8,8,8,8,8,8,8,8,8,8,8],[2,8,8,8,8,8,8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8,8,8,8,8,8,8],...	0	dataset=solve_boundingbox group=boundingbox_of_lonely_pixels hollow_inner predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
SIMON-SOLVE-VERSION1, O3T, predict raw pixels	I0 4 9 2,,,,,,,, O0 1 1 2 I1 9 3 f747,d7a4a7,7 O1 4 3 a747,74a7,7 I2T 3 3 2a3,0a3, O2T None I3T 8 2 d9b6,a9270b9 O3T None	99996 92709	{"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]],"output":[[2]]},{"input":[[7,7,7,7,7,7,7,4,7],[7,7,7,7,7,4,4,7,7],[7,7,7,7,7,7,7,7,7]],"output":[[7,7,4,7],[7,4,7,7],[7,7,7,7]]}],"test":[{"input":[[2,3,3],[0,3,3],[0,3,3]],"output":[[2,3],[0,3]]},{"input":[[9...	1	dataset=solve_compress group=compressxy predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a
simonsolvev1, O4T, predict pixels	I0 2 24 13,,1,31,1,,,,,,,31,1,,13,1,,,,,,,31,1 O0 2 12 30,,,03,3,,,,,,03, I1 14 28 a1313b1313a13,13a13h1,3h13131,a13d1a3c1,1a3e1b3a1,b13a13d131,k131,c13d1a3a1,g13d1,13d13d13,i13b1,a13a13a1a3c1,a13a13b13c1,a13g13a1,3l1,d13g1,a13d13d1,1a3j1,1,b1313a13d1,b13h13,b13i1,3b13h1,d13g1,g13d1,a13j1,1,b13d13c1 O1 14 14 03030b3030...	03333303030 33303333333 30300003333 33333333333 33330033033 33030330303 33000030333 33033330303 00330330033 03333033303	{"train":[{"input":[[1,3],[1,3],[1,1],[3,1],[1,1],[1,1],[1,1],[1,1],[1,1],[1,1],[1,1],[3,1],[1,1],[1,1],[1,3],[1,1],[1,1],[1,1],[1,1],[1,1],[1,1],[1,1],[3,1],[1,1]],"output":[[3,0],[3,0],[3,0],[0,3],[3,3],[3,3],[3,3],[3,3],[3,3],[3,3],[0,3],[0,3]]},{"input":[[1,1,3,1,3,1,1,1,3,1,3,1,1,3],[1,3,1,1,3,1,1,1,1,1,1,1,1,1],[...	0	dataset=solve_bool group=xor predict=rawpixels earlier_prediction=none image_width=medium image_height=large task_pixels=c
Simon-Solve-V1 predict pixels for O3T	I0 12 13 b6b5e7,6a5b6e7,a65b6e7,d65a78b7,e678c7,e6e7,,565a65d78,e678b78,a65b68d7,c656e7,a656a5c787,e6e7 O0 6 13 b1b3,1a3b1,a13b1,a13a13,13c1,1,,313b1,13b13,313b1,c131,a13a13,1 I1 12 14 c6a57b878,a65b6c8a7,e6878b7,b6a56787a87,e6878787,e6c7a8,65a656a8a787,65c68787a8,c6567a87a8,6565a6a78b7,a65656787a87,b6565e7,e6a87b8,c65...	131311131311311 331113313333333 311133333311111 311311113311311 131311333313333	{"train":[{"input":[[6,6,6,5,5,5,7,7,7,7,7,7],[6,5,5,6,6,6,7,7,7,7,7,7],[6,6,5,6,6,6,7,7,7,7,7,7],[6,6,6,6,6,5,7,7,8,7,7,7],[6,6,6,6,6,6,7,8,7,7,7,7],[6,6,6,6,6,6,7,7,7,7,7,7],[6,6,6,6,6,6,7,7,7,7,7,7],[5,6,5,6,6,5,7,7,7,7,7,8],[6,6,6,6,6,6,7,8,7,7,7,8],[6,6,5,6,6,6,8,7,7,7,7,7],[6,6,6,6,5,6,7,7,7,7,7,7],[6,6,5,6,5,5,7...	0	dataset=solve_bool group=xor predict=rawpixels earlier_prediction=none image_width=large image_height=medium task_pixels=c
SIMON-SOLVE-VERSION1, 'O5T', predict the raw pixels	I0 8 4 6,,, O0 1 1 6 I1 11 2 d3a4c9,b3c9b39 O1 5 2 a34a9,3a939 I2 2 9 80,,50,,54,8,,, O2 2 4 80,50,54,8 I3 9 3 c83a9a4,4248369a4,498a2c4 O3 8 3 c83a94,42483694,498a2b4 I4T 11 2 040c6a520,c01a4c5 O4T None I5T 3 7 621,421,423,,923,4a2,412 O5T None	621 421 423 923 422 412	{"train":[{"input":[[6,6,6,6,6,6,6,6],[6,6,6,6,6,6,6,6],[6,6,6,6,6,6,6,6],[6,6,6,6,6,6,6,6]],"output":[[6]]},{"input":[[3,3,3,3,3,4,4,9,9,9,9],[3,3,3,9,9,9,9,3,3,3,9]],"output":[[3,3,4,9,9],[3,9,9,3,9]]},{"input":[[8,0],[8,0],[5,0],[5,0],[5,4],[8,8],[8,8],[8,8],[8,8]],"output":[[8,0],[5,0],[5,4],[8,8]]},{"input":[[8,8,...	1	dataset=solve_compress group=compressxy predict=rawpixels earlier_prediction=none image_width=medium image_height=small task_pixels=a
simonsolveversion1 predict raw pixels for O5T	I0 5 14 25125,a51a5,251a5,52125,25152,a21a5,a51a5,a2152,a5152,251a5,a21a2,521a5,a51a2,a21a2 O0 2 14 5,,65,6,,,5,65,56,65,5,56,6,5 I1 29 5 m512b52h5,2k521b5a2g52,a52i52152c52e52,a5252e52a51c5252d525,m51a52a5a2f5 O1 14 5 6b56h5,6a5a6h5,5a6b56f5,a56b56c5a65,a56a5a6f5 I2 21 7 a2a5c2a512a52d52,5252b52521a2a52a5b2,2b5252a521...	55556555655 55566565656 65565665655 66565566655 55665566656 55556556565 65556656555 56556666665 56556656656	{"train":[{"input":[[2,5,1,2,5],[5,5,1,5,5],[2,5,1,5,5],[5,2,1,2,5],[2,5,1,5,2],[2,2,1,5,5],[5,5,1,5,5],[2,2,1,5,2],[5,5,1,5,2],[2,5,1,5,5],[2,2,1,2,2],[5,2,1,5,5],[5,5,1,2,2],[2,2,1,2,2]],"output":[[5,5],[5,5],[6,5],[6,6],[6,6],[6,6],[5,5],[6,5],[5,6],[6,5],[5,5],[5,6],[6,6],[5,5]]},{"input":[[5,5,5,5,5,5,5,5,5,5,5,5,...	1	dataset=solve_bool group=xor predict=rawpixels earlier_prediction=none image_width=large image_height=medium task_pixels=c
Simon-Solve-V1, 'O2T', predict the pixels	I0 9 17 0a303c0,30a30b30,b03a0b3,a30d30,0a30c30,303a0a3a0,3a0a30a30,c03c0,5,0a3d03,a3b030a3,0b303b0,3b0b303,c30b30,0a3b0b3,3a0b3b0,3a0303b0 O0 9 8 c75b75,7b5a7575,7a5a7c5,7575b7a5,5a7a5c7,a5b757a5,d7b57,5a7b5b7 I1 6 15 a3a030,b0a30,3d0,0,3a03a0,30a3a0,d03,5,0,03c0,0,,,03a0a3,0 O1 6 7 a5a757,757a57,5d7,7,5a75a7,5,d75 I2...	77 75 77 77 57 77 77 75 57	{"train":[{"input":[[0,3,3,0,3,0,0,0,0],[3,0,3,3,0,3,3,3,0],[0,0,0,3,0,0,3,3,3],[3,3,0,3,3,3,3,3,0],[0,3,3,0,3,3,3,3,0],[3,0,3,0,0,3,3,0,0],[3,0,0,3,3,0,3,3,0],[0,0,0,0,3,0,0,0,0],[5,5,5,5,5,5,5,5,5],[0,3,3,0,0,0,0,0,3],[3,3,0,0,0,3,0,3,3],[0,3,3,3,0,3,0,0,0],[3,0,0,0,3,3,3,0,3],[3,3,3,3,0,3,3,3,0],[0,3,3,0,0,0,3,3,3],...	0	dataset=solve_bool group=xor predict=rawpixels earlier_prediction=none image_width=small image_height=medium task_pixels=a
simonsolvev1, 'O4T', predict the raw pixels	I0 8 9 8,a8a515a8,a81a51a8,a8c5a8,a8b15a8,a85b1a8,a85a15a8,a8c5a8,8 O0 8 9 8,a8a161a8,a86a16a8,a8c1a8,a8b61a8,a81b6a8,a81a61a8,a8c1a8,8 I1 10 9 8,,8a7a57a5a8,85a7a575a8,8a5a7a57a8,8c7575a8,8f5a8,8, O1 10 9 8,,8a6a76a7a8,87a6a767a8,8a7a6a76a8,8c6767a8,8f7a8,8, I2 7 8 8,,8b5258,8a52528,8b5a28,8a25a28,8b2a58,8 O2 7 8 8,,8...	8888888888 8869999988 8896696988 8899969688 8869999988 8888888888 8888888888	{"train":[{"input":[[8,8,8,8,8,8,8,8],[8,8,5,5,1,5,8,8],[8,8,1,5,5,1,8,8],[8,8,5,5,5,5,8,8],[8,8,1,1,1,5,8,8],[8,8,5,1,1,1,8,8],[8,8,5,1,1,5,8,8],[8,8,5,5,5,5,8,8],[8,8,8,8,8,8,8,8]],"output":[[8,8,8,8,8,8,8,8],[8,8,1,1,6,1,8,8],[8,8,6,1,1,6,8,8],[8,8,1,1,1,1,8,8],[8,8,6,6,6,1,8,8],[8,8,1,6,6,6,8,8],[8,8,1,6,6,1,8,8],[...	0	dataset=solve_color group=replace_color_different_palettes padding palette_b predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=b
simon-solve-v1, 'O3T', predict the pixels	I0 11 14 6,,,6h06,60f606,,606a73b606,60a67c606,60a637b606,606a3c606,60f606,6h06,6, O0 11 14 0,,,0h60,,,0a6a73c60,0b67d60,0b637c60,0a6a3d60,0h60,,0, I1 14 14 6,6i0b6,60g60b6,,,60b67a3a60b6,60c637a60b6,60c67b60b6,60g60b6,,6i0b6,6,, O1 14 14 0,0i6b0,,,,0c67a3b6b0,0d637b6b0,0d67c6b0,0i6b0,,,0,, I2 11 13 6,,,,6h06,60f606,60...	0000000000000 0000000000000 0000000000000 0000000000000 0000000000000 0000000000000 0000066666660 0000066666660 0000066633660 0000066676660 0000066676660 0000066666660 0000066666660 0000000000000	{"train":[{"input":[[6,6,6,6,6,6,6,6,6,6,6],[6,6,6,6,6,6,6,6,6,6,6],[6,6,6,6,6,6,6,6,6,6,6],[6,0,0,0,0,0,0,0,0,0,6],[6,0,6,6,6,6,6,6,6,0,6],[6,0,6,6,6,6,6,6,6,0,6],[6,0,6,7,7,3,6,6,6,0,6],[6,0,6,6,7,6,6,6,6,0,6],[6,0,6,6,3,7,6,6,6,0,6],[6,0,6,3,3,6,6,6,6,0,6],[6,0,6,6,6,6,6,6,6,0,6],[6,0,0,0,0,0,0,0,0,0,6],[6,6,6,6,6,6...	0	dataset=solve_boundingbox group=boundingbox_inner swap_background_outer predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
simonsolvev1 predict pixels for O4T	I0 6 4 4747a4,7c47,7a4747,b4a74 O0 6 4 4848a4,8c48,8a4848,b4a84 I1 4 7 43a4,3434,3a43,4,b43,3434,b34 O1 4 7 48a4,8484,8a48,4,b48,8484,b84 I2 7 5 a404040,b0a4a0,4a0a404,b4a040,a40a4a0 O2 7 5 a484848,b8a4a8,4a8a484,b4a848,a48a4a8 I3 5 7 4b54,454a5,45a45,c45,4a5a4,5c4,a4a54 O3 5 7 4b84,484a8,48a48,c48,4a8a4,8c4,a4a84 I4T ...	4444444 8848444 4448484 4444844 8848448	{"train":[{"input":[[4,7,4,7,4,4],[7,4,4,4,4,7],[7,4,4,7,4,7],[4,4,4,7,7,4]],"output":[[4,8,4,8,4,4],[8,4,4,4,4,8],[8,4,4,8,4,8],[4,4,4,8,8,4]]},{"input":[[4,3,4,4],[3,4,3,4],[3,4,4,3],[4,4,4,4],[4,4,4,3],[3,4,3,4],[3,3,3,4]],"output":[[4,8,4,4],[8,4,8,4],[8,4,4,8],[4,4,4,4],[4,4,4,8],[8,4,8,4],[8,8,8,4]]},{"input":[[4...	0	dataset=solve_color group=replace_color_different_palettes no_padding palette_a predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a
SIMON-SOLVE-V1, 'O4T', predict the pixels	I0 6 7 4a34a3,43b43,43c4,34a3a4,3434a3,434a34,3434a3 O0 6 7 2a42a4,24b24,24c2,42a4a2,4242a4,242a42,4242a4 I1 7 6 3,b38b3,a38b38,b38a38,838c3,d383 O1 7 6 8,b82b8,a82b82,b82a82,282c8,d828 I2 6 3 a5a353,35a3a5,a353a5 O2 6 3 a2a525,52a5a2,a525a2 I3 3 7 3,0a3,3,a03,030,3,a30 O3 3 7 0,2a0,0,a20,202,0,a02 I4T 7 4 a39b39,9e3,e...	9929992 2999999 9999992 2229929	{"train":[{"input":[[4,3,3,4,3,3],[4,3,4,4,4,3],[4,3,4,4,4,4],[3,4,3,3,4,4],[3,4,3,4,3,3],[4,3,4,3,3,4],[3,4,3,4,3,3]],"output":[[2,4,4,2,4,4],[2,4,2,2,2,4],[2,4,2,2,2,2],[4,2,4,4,2,2],[4,2,4,2,4,4],[2,4,2,4,4,2],[4,2,4,2,4,4]]},{"input":[[3,3,3,3,3,3,3],[3,3,3,8,3,3,3],[3,3,8,3,3,3,8],[3,3,3,8,3,3,8],[8,3,8,3,3,3,3],[...	0	dataset=solve_color group=replace_color_different_palettes no_padding palette_b predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a
SIMON-SOLVE-VERSION1, 'O3T', predict the raw pixels	I0 3 6 1,,071,171,1, O0 3 6 0,,,,, I1 4 2 a545,a543 O1 4 2 3, I2 2 3 1,49,41 O2 2 3 9,, I3T 3 4 535,0a4,0a7,575 O3T None I4T 4 6 8,a8a0,a808,8208,29a8,92a8 O4T None	333 333 333 333	{"train":[{"input":[[1,1,1],[1,1,1],[0,7,1],[1,7,1],[1,1,1],[1,1,1]],"output":[[0,0,0],[0,0,0],[0,0,0],[0,0,0],[0,0,0],[0,0,0]]},{"input":[[5,5,4,5],[5,5,4,3]],"output":[[3,3,3,3],[3,3,3,3]]},{"input":[[1,1],[4,9],[4,1]],"output":[[9,9],[9,9],[9,9]]}],"test":[{"input":[[5,3,5],[0,4,4],[0,7,7],[5,7,5]],"output":[[3,3,3]...	0	dataset=solve_color group=mostleast_popular_color least_popular same predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a
SIMON-SOLVE-VERSION1, O2T, predict raw pixels	I0 10 10 4,,a4f24,a42d424,a4249a4924,a424934924,a42b4a324,a424393424,a4f24,4 O0 10 10 4,,a4f24,,a4a29a4924,a4a2934924,a4a2a4a324,a4a2393424,a4f24,4 I1 14 12 4,a4i2a4,a42c439a42a4,a42c4a9a42a4,a42g42a4,a42d43a42a4,,a42g42a4,a4i2a4,4,, O1 14 12 4,a4i2a4,a4d239b2a4,a4d2a9b2a4,a4d2a4b2a4,a4d243b2a4,,a4i2a4,,4,, I2T 14 14 4...	44444444444444 42222222222444 42222222222444 42222222222444 42222222222444 42222394992444 42222934942444 42222333442444 42222494492444 42222394332444 42222222222444 44444444444444 44444444444444 44444444444444	{"train":[{"input":[[4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4],[4,4,2,2,2,2,2,2,2,4],[4,4,2,4,4,4,4,4,2,4],[4,4,2,4,9,4,4,9,2,4],[4,4,2,4,9,3,4,9,2,4],[4,4,2,4,4,4,3,3,2,4],[4,4,2,4,3,9,3,4,2,4],[4,4,2,2,2,2,2,2,2,4],[4,4,4,4,4,4,4,4,4,4]],"output":[[4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4],[4,4,2,2,2,2,2,2,2,4],[4,...	0	dataset=solve_boundingbox group=boundingbox_inner simple_fill predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
SIMON-SOLVE-VERSION1, O5T, predict raw pixels	I0 6 7 4,d43,,c483,a4a8a4,a80a14,b4b0 O0 5 6 4,c43,b483,4a8a4,80a14,a4b0 I1 11 2 4230a134a53,3a09d3a8 O1 10 2 4230134a53,3a09c3a8 I2 2 11 06,09,,,61,21,,,51,81,86 O2 2 7 06,09,61,21,51,81,86 I3 9 3 2g3,2a8c9a3,a2c9313 O3 7 3 2e3,2a8a9a3,a2a9313 I4T 6 8 5,,,c5a9,b5959,d59,,d09 O4T None I5T 5 10 4,c43,,b4a0,4a042,0a424,4...	44444 44443 44400 40042 04424 40024 47424 44124 44424	{"train":[{"input":[[4,4,4,4,4,4],[4,4,4,4,4,3],[4,4,4,4,4,3],[4,4,4,4,8,3],[4,4,8,8,4,4],[8,8,0,1,1,4],[4,4,4,0,0,0]],"output":[[4,4,4,4,4],[4,4,4,4,3],[4,4,4,8,3],[4,8,8,4,4],[8,0,1,1,4],[4,4,0,0,0]]},{"input":[[4,2,3,0,1,1,3,4,5,5,3],[3,0,0,9,3,3,3,3,3,8,8]],"output":[[4,2,3,0,1,3,4,5,5,3],[3,0,0,9,3,3,3,3,8,8]]},{"...	1	dataset=solve_compress group=compressxy predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=a
SIMON-SOLVE-V1 predict raw pixels for 'O3T'	I0 5 11 8,,,,,c83,b838,8a3a8,35b8,a8b5,8 O0 5 7 8,c83,b838,8a3a8,35b8,a8b5,8 I1 6 6 090630,a16b0,072b0,0,, O1 6 4 090630,a16b0,072b0,0 I2 12 2 9c8a9b8a9,a8c9898989 O2 10 2 9a8a9b8a9,a8a9898989 I3T 2 5 2,,,05, O3T None I4T 5 4 4a959,b549,c49,4 O4T None	22 05	{"train":[{"input":[[8,8,8,8,8],[8,8,8,8,8],[8,8,8,8,8],[8,8,8,8,8],[8,8,8,8,8],[8,8,8,8,3],[8,8,8,3,8],[8,3,3,8,8],[3,5,8,8,8],[8,8,5,5,5],[8,8,8,8,8]],"output":[[8,8,8,8,8],[8,8,8,8,3],[8,8,8,3,8],[8,3,3,8,8],[3,5,8,8,8],[8,8,5,5,5],[8,8,8,8,8]]},{"input":[[0,9,0,6,3,0],[1,1,6,0,0,0],[0,7,2,0,0,0],[0,0,0,0,0,0],[0,0,...	0	dataset=solve_compress group=compressxy predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=a
simon-solve-v1 predict raw pixels for O3T	I0 3 5 030,,,0, O0 3 2 030,0 I1 6 4 d59,,a59b5,b59a5 O1 5 3 c59,59b5,a59a5 I2 11 9 9,a9a4b9a7a9,a9594a0a9a8,95c98a0a9,959a8c929,958e929,h929,i92,9 O2 10 9 9,a9a4b97a9,a9594a09a8,95c980a9,959a8b929,958d929,g929,h92,9 I3T 9 5 4540a5051,5a0d51,f541,a50c501,g51 O3T None	45405051 50055551 55555541 55055501 55555551	{"train":[{"input":[[0,3,0],[0,3,0],[0,3,0],[0,0,0],[0,0,0]],"output":[[0,3,0],[0,0,0]]},{"input":[[5,5,5,5,5,9],[5,5,5,5,5,9],[5,5,9,5,5,5],[5,5,5,9,5,5]],"output":[[5,5,5,5,9],[5,9,5,5,5],[5,5,9,5,5]]},{"input":[[9,9,9,9,9,9,9,9,9,9,9],[9,9,4,4,9,9,9,7,7,9,9],[9,9,5,9,4,0,0,9,9,8,8],[9,5,9,9,9,9,8,0,0,9,9],[9,5,9,8,8...	0	dataset=solve_compress group=compressxy predict=rawpixels earlier_prediction=none image_width=medium image_height=small task_pixels=a
SIMON-SOLVE-VERSION1, O2T, predict pixels	I0 3 1 2a4 O0 3 1 4 I1 1 3 5,, O1 1 3 5,, I2T 3 6 2,a25,929,252,9a2,2a5 O2T None	222 222 222 222 222 222	{"train":[{"input":[[2,4,4]],"output":[[4,4,4]]},{"input":[[5],[5],[5]],"output":[[5],[5],[5]]}],"test":[{"input":[[2,2,2],[2,2,5],[9,2,9],[2,5,2],[9,2,2],[2,5,5]],"output":[[2,2,2],[2,2,2],[2,2,2],[2,2,2],[2,2,2],[2,2,2]]}]}	0	dataset=solve_color group=mostleast_popular_color most_popular same predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a
Simon-Solve-Version1 'O4T' predict the pixels	I0 9 6 c15c1,,d15b1,,,1 O0 4 3 15a1,a151,1 I1 5 10 0,042a0,4a2a0,49b0,9c0,0,b090,,a0909,0 O1 5 9 0,042a0,4a2a0,49b0,9c0,0,b090,a0909,0 I2 6 3 b1b3,c3a1,b3a81 O2 4 3 1b3,a3a1,3a81 I3 3 5 5a3,956,9a0,0, O3 3 4 5a3,956,9a0,0 I4T 4 10 6,,,a656,0656,62a6,,6,63a6,6 O4T None	6666 6656 0656 6266 6666 6366 6666	{"train":[{"input":[[1,1,1,1,5,1,1,1,1],[1,1,1,1,5,1,1,1,1],[1,1,1,1,1,5,1,1,1],[1,1,1,1,1,5,1,1,1],[1,1,1,1,1,5,1,1,1],[1,1,1,1,1,1,1,1,1]],"output":[[1,5,1,1],[1,1,5,1],[1,1,1,1]]},{"input":[[0,0,0,0,0],[0,4,2,0,0],[4,2,2,0,0],[4,9,0,0,0],[9,0,0,0,0],[0,0,0,0,0],[0,0,0,9,0],[0,0,0,9,0],[0,0,9,0,9],[0,0,0,0,0]],"outpu...	0	dataset=solve_compress group=compressxy predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a
Simon-Solve-Version1 'O4T' predict the pixels	I0 13 13 7,,a7h0a7,a70f70a7,,,a70b7a4970a7,a70c79a70a7,a70b749a70a7,a70f70a7,a7h0a7,7, O0 13 13 0,,a0h7a0,,,,a0c7a49a7a0,a0d79b7a0,a0c749b7a0,a0h7a0,,0, I1 12 10 7,,a7f0b7,a7079b70b7,a70d70b7,a7074b70b7,a70749a70b7,a70d70b7,a7f0b7,7 O1 12 10 0,,a0f7b0,a0a79c7b0,a0f7b0,a0a74c7b0,a0a749b7b0,a0f7b0,,0 I2 12 12 7,,a7g0a7,a...	0000000000 0000000000 0077777700 0079997700 0079747700 0074774700 0074749700 0077777700 0077777700 0077777700 0077777700 0077777700 0000000000	{"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],[7,7,0,0,0,0,0,0,0,0,0,7,7],[7,7,0,7,7,7,7,7,7,7,0,7,7],[7,7,0,7,7,7,7,7,7,7,0,7,7],[7,7,0,7,7,7,7,7,7,7,0,7,7],[7,7,0,7,7,7,4,4,9,7,0,7,7],[7,7,0,7,7,7,7,9,7,7,0,7,7],[7,7,0,7,7,7,4,9,7,7,0,7,7],[7,7,0,7,7,7,7,7,7,7,0,7,7],[7,7,0,0,0,0,0,0,0,0...	1	dataset=solve_boundingbox group=boundingbox_inner swap_background_outer predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
Simon-Solve-V1, O4T, predict pixels	I0 6 3 0,,0727a0 O0 6 3 7,d27,2b727 I1 3 7 0,,a08,0,8a0,0, O1 3 7 7,2,7,,,2,7 I2 10 3 0,b06a5c0,09a05d0 O2 10 3 f2b7,2d72b7, I3 4 9 0,,,a080,0,,,,b08 O3 4 9 7,,7b2,72a7,,,,, I4T 13 14 0,,,,,,,,,a07i0,0,,,c04g0 O4T None I5T 11 3 1i0,a02g0,0 O5T None	7777777777777 7777777777777 7777777777777 7777777777777 7777777777777 7777777777777 7777777777777 7777777777777 7222227777777 7277727777777 7277727777777 7277727777777 7277727777777 7277727777777	{"train":[{"input":[[0,0,0,0,0,0],[0,0,0,0,0,0],[0,7,2,7,0,0]],"output":[[7,7,7,7,7,7],[2,2,2,2,2,7],[2,7,7,7,2,7]]},{"input":[[0,0,0],[0,0,0],[0,0,8],[0,0,0],[8,0,0],[0,0,0],[0,0,0]],"output":[[7,7,7],[2,2,2],[7,7,7],[7,7,7],[7,7,7],[2,2,2],[7,7,7]]},{"input":[[0,0,0,0,0,0,0,0,0,0],[0,0,0,6,5,5,0,0,0,0],[0,9,0,0,5,0,0...	0	dataset=solve_boundingbox group=boundingbox_of_lonely_pixels hollow_outer predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b
SIMONSOLVEVERSION1 predict pixels for O4T	I0 6 14 0,,,,9d0,0,,,,,,c040,d05,0 O0 6 14 1,,,,,1c81,18a181,,,,,1c81,1, I1 14 12 0,,b06i0,0,,,,03k0,c01h0,0,, O1 14 12 1,,,a1a8i1,,,,,1,,, I2 9 12 0,,5g0,b08d0,0,g03,0,,,d056a0,0, O2 9 12 1,,,1f81,18d181,,,,1f81,1,, I3 14 12 0,,b06i0,0,,,,03k0,c01h0,0,, O3 14 12 1,,,a1a8i1,,,,,1,,, I4T 14 12 0,,b06i0,0,,,,03k0,c01h0,0...	11111111111111 11111111111111 11111111111111 11881111111111 11881111111111 11881111111111 11881111111111 11881111111111 11111111111111 11111111111111 11111111111111 11111111111111	{"train":[{"input":[[0,0,0,0,0,0],[0,0,0,0,0,0],[0,0,0,0,0,0],[0,0,0,0,0,0],[9,0,0,0,0,0],[0,0,0,0,0,0],[0,0,0,0,0,0],[0,0,0,0,0,0],[0,0,0,0,0,0],[0,0,0,0,0,0],[0,0,0,0,0,0],[0,0,0,0,4,0],[0,0,0,0,0,5],[0,0,0,0,0,0]],"output":[[1,1,1,1,1,1],[1,1,1,1,1,1],[1,1,1,1,1,1],[1,1,1,1,1,1],[1,1,1,1,1,1],[1,8,8,8,8,1],[1,8,1,1,...	0	dataset=solve_boundingbox group=boundingbox_of_lonely_pixels hollow_inner predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
SIMON-SOLVE-V1, 'O3T', predict the pixels	I0 30 4 a57b575a7a5a75c62d62a626,b75a757b57b5h62d6,575a7a5c7b572m6,c5757e5752b6b2a6a2a626 O0 15 4 a3030303b030a3,b03a0303030b3,a03a0a3c0b30,0c30b3a0c3 I1 16 15 7a5a75a7d62a6,7b57b5b62c6,7d575f62,75757b5d62a6,b57c5g6,a5a757a5d62a6,b57c52d626,5757c5e626,57a5a757a2e6,a57d5g6,57e5g6,b57b572f6,7a575a75g6,b575757d62a6,57a57b...	3000330003 3303300333 3333330000 3000330003 3303333030 3303303303 3033000003	{"train":[{"input":[[5,5,7,5,5,5,7,5,7,7,5,5,7,7,5,6,6,6,6,2,6,6,6,6,6,2,6,6,2,6],[7,7,7,5,7,7,5,7,5,5,5,7,5,5,5,6,6,6,6,6,6,6,6,6,2,6,6,6,6,6],[5,7,5,7,7,5,5,7,7,7,7,5,5,5,7,2,6,6,6,6,6,6,6,6,6,6,6,6,6,6],[5,5,5,5,7,5,7,5,5,5,5,5,5,7,5,2,6,6,6,2,2,2,6,6,2,2,6,6,2,6]],"output":[[3,3,0,3,0,3,0,3,0,0,0,3,0,3,3],[0,0,0,3,...	1	dataset=solve_bool group=xor predict=rawpixels earlier_prediction=none image_width=large image_height=medium task_pixels=b
simon-solve-v1, O4T, predict raw pixels	I0 6 6 9a4724,79b74,749427,b79a7,272794,a27a49 O0 1 1 7 I1 1 6 3,,,,, O1 1 1 3 I2 6 3 4575a4,b5b4,2a45a4 O2 1 1 4 I3 3 1 a46 O3 1 1 4 I4T 1 2 5, O4T None I5T 2 6 05,25,05,2,50,5 O5T None	5	{"train":[{"input":[[9,4,4,7,2,4],[7,9,7,7,7,4],[7,4,9,4,2,7],[7,7,7,9,7,7],[2,7,2,7,9,4],[2,2,7,4,4,9]],"output":[[7]]},{"input":[[3],[3],[3],[3],[3],[3]],"output":[[3]]},{"input":[[4,5,7,5,4,4],[5,5,5,4,4,4],[2,4,4,5,4,4]],"output":[[4]]},{"input":[[4,4,6]],"output":[[4]]}],"test":[{"input":[[5],[5]],"output":[[5]]},...	0	dataset=solve_color group=mostleast_popular_color most_popular 1x1 predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a
simon-solve-version1, 'O4T', predict the pixels	I0 7 11 4,1e4,4,,a49c4,4,,,,48d4,c43a4 O0 7 11 e35,,,,,,,,,, I1 11 12 4,,5i4,e41c4,4,,d46d4,4,,h404,4, O1 11 12 5,3,,,,,,,,,,5 I2 6 8 b42a4,c414,4,,,,,c474 O2 6 8 a5c3,,,,,,, I3 12 8 4,,,,e42d4,b43a4148b4,4,43i4 O3 12 8 5,,,i3a5,,,, I4T 14 6 l48,c40h4,a48j4,a40j4,4, O4T None I5T 6 5 48c4,8d4,3d4,4, O5T None	53333333333333 53333333333333 53333333333333 53333333333333 53333333333333 55555555555555	{"train":[{"input":[[4,4,4,4,4,4,4],[1,4,4,4,4,4,4],[4,4,4,4,4,4,4],[4,4,4,4,4,4,4],[4,4,9,4,4,4,4],[4,4,4,4,4,4,4],[4,4,4,4,4,4,4],[4,4,4,4,4,4,4],[4,4,4,4,4,4,4],[4,8,4,4,4,4,4],[4,4,4,4,3,4,4]],"output":[[3,3,3,3,3,3,5],[3,3,3,3,3,3,5],[3,3,3,3,3,3,5],[3,3,3,3,3,3,5],[3,3,3,3,3,3,5],[3,3,3,3,3,3,5],[3,3,3,3,3,3,5],[...	0	dataset=solve_boundingbox group=boundingbox_of_lonely_pixels filled_outer predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b
SIMON-SOLVE-VERSION1, 'O4T', predict the pixels	I0 4 7 b47,4,,b47,7b4,4, O0 2 7 40,4,,40,04,4, I1 14 14 c4747f4,7b47a4a7d4,7c4747474a74,4,j4a74,747a47f47,c47b47b474,7l4,k474,747c4747a474,a4a7i4,7c47g4,f47c474,4a7d47c47 O1 7 14 c4040,40a40a4,a4040a4,4,c4a04,040a4a0,40a4a04,0e4,d404,,a4a0b4,0c404,,a40b40 I2 10 11 7c47c4,d47c4,47a474a7a4,e47a47,47a47a47a4,4,,,d47c4,g4a...	040000 040040 440400 044400 000004 404040 044044 440004 400440	{"train":[{"input":[[4,4,4,7],[4,4,4,4],[4,4,4,4],[4,4,4,7],[7,4,4,4],[4,4,4,4],[4,4,4,4]],"output":[[4,0],[4,4],[4,4],[4,0],[0,4],[4,4],[4,4]]},{"input":[[4,4,4,4,7,4,7,4,4,4,4,4,4,4],[7,4,4,4,7,4,4,7,7,4,4,4,4,4],[7,4,4,4,4,7,4,7,4,7,4,7,7,4],[4,4,4,4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4,4,7,7,4],[7,4,7,4,4,7,4,...	0	dataset=solve_bool group=xor predict=rawpixels earlier_prediction=none image_width=large image_height=medium task_pixels=c
simonsolveversion1, O5T, predict raw pixels	I0 5 3 949a4,9b49,b4a9 O0 5 3 393a9,3b93,b9a3 I1 3 5 414,4,a41,1a4, O1 3 5 131,1,a13,3a1, I2 5 4 b8a4,a4848,8c4,c84 O2 5 4 b3a8,a8383,3c8,c38 I3 4 6 4,b40,0b4,a404,b40,4 O3 4 6 0,b03,3b0,a030,b03,0 I4T 6 3 c2a4,c424,4 O4T None I5T 3 4 7a4,474,,a47 O5T None	377 737 737 773	{"train":[{"input":[[9,4,9,4,4],[9,4,4,4,9],[4,4,4,9,9]],"output":[[3,9,3,9,9],[3,9,9,9,3],[9,9,9,3,3]]},{"input":[[4,1,4],[4,4,4],[4,4,1],[1,4,4],[1,4,4]],"output":[[1,3,1],[1,1,1],[1,1,3],[3,1,1],[3,1,1]]},{"input":[[8,8,8,4,4],[4,4,8,4,8],[8,4,4,4,4],[8,8,8,8,4]],"output":[[3,3,3,8,8],[8,8,3,8,3],[3,8,8,8,8],[3,3,3,...	1	dataset=solve_color group=replace_color_different_palettes no_padding palette_b predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a
simon-solve-v1, 'O2T', predict the raw pixels	I0 11 11 9,9f6b9,96d96b9,969a3936b9,9692a926b9,96939296b9,96929236b9,9f6b9,9,, O0 11 11 6,6f9b6,,6a9a3939b6,6a92a929b6,6a9392a9b6,6a929239b6,6f9b6,6,, I1 14 14 9,,,,,,e9d6b9,e96b96b9,e969296b9,e96a936b9,e9d6b9,9,, O1 14 14 6,,,,,,e6d9b6,,e6a92a9b6,e6b939b6,e6d9b6,6,, I2T 12 12 9,9g6b9,96e96b9,96a923a96b9,9693c96b9,9693...	666666666666 699999999666 699999999666 699923999666 699399999666 699322999666 699999999666 699999999666 699999999666 666666666666 666666666666 666666666666	{"train":[{"input":[[9,9,9,9,9,9,9,9,9,9,9],[9,6,6,6,6,6,6,6,9,9,9],[9,6,9,9,9,9,9,6,9,9,9],[9,6,9,3,3,9,3,6,9,9,9],[9,6,9,2,9,9,2,6,9,9,9],[9,6,9,3,9,2,9,6,9,9,9],[9,6,9,2,9,2,3,6,9,9,9],[9,6,6,6,6,6,6,6,9,9,9],[9,9,9,9,9,9,9,9,9,9,9],[9,9,9,9,9,9,9,9,9,9,9],[9,9,9,9,9,9,9,9,9,9,9]],"output":[[6,6,6,6,6,6,6,6,6,6,6],[...	0	dataset=solve_boundingbox group=boundingbox_inner swap_background_outer predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
simonsolvev1, 'O3T', predict the raw pixels	I0 12 13 18i1,1,,h18a1,1,,,,,,,, O0 12 13 2,a2f0b2,,2,,,,,,,,, I1 6 6 1,0d1,1,,a14b1,c161 O1 6 6 2,,2b0a2,,,2 I2 8 7 c16b1,a13d1,e181,1,f10,1, O2 8 7 2,b2c02,,,2,, I3T 13 5 1,h16b1,1,,f18d1 O3T None	2222222222222 2222222222222 2222222202222 2222222202222 2222222222222	{"train":[{"input":[[1,8,1,1,1,1,1,1,1,1,1,1],[1,1,1,1,1,1,1,1,1,1,1,1],[1,1,1,1,1,1,1,1,1,1,1,1],[1,1,1,1,1,1,1,1,1,8,1,1],[1,1,1,1,1,1,1,1,1,1,1,1],[1,1,1,1,1,1,1,1,1,1,1,1],[1,1,1,1,1,1,1,1,1,1,1,1],[1,1,1,1,1,1,1,1,1,1,1,1],[1,1,1,1,1,1,1,1,1,1,1,1],[1,1,1,1,1,1,1,1,1,1,1,1],[1,1,1,1,1,1,1,1,1,1,1,1],[1,1,1,1,1,1,1...	0	dataset=solve_boundingbox group=boundingbox_of_lonely_pixels filled_inner predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b
simon-solve-v1 predict raw pixels for O4T	I0 5 22 9a494,a4949,a94a9,a9b4,b494,94b9,9b49,a4a94,94949,a9b4,94b9,a94a9,94b9,a49a4,94a94,b4a9,9,c94,4c9,,94a94,9 O0 5 11 87a87,7a878,7,8b78,c87,87b8,8c7,87a87,a7878,8b78,87b8 I1 11 8 h949,f94949,a94f94,a94b9494a9,94e9a49,94a9a494b9,a4b9a4c9,4d94c9 O1 11 4 87e87a8,87a8a7b878,b7a8a7b87,787d87a8 I2 13 26 4b94a94b949,949...	78778887 88878777 78887878 77778777 88878787 88788788 87888878 87887888 88887877 88887887 88888788 87787787 87878777	{"train":[{"input":[[9,4,4,9,4],[4,4,9,4,9],[9,9,4,9,9],[9,9,4,4,4],[4,4,4,9,4],[9,4,9,9,9],[9,4,4,4,9],[4,4,9,9,4],[9,4,9,4,9],[9,9,4,4,4],[9,4,9,9,9],[9,9,4,9,9],[9,4,9,9,9],[4,4,9,4,4],[9,4,9,9,4],[4,4,4,9,9],[9,9,9,9,9],[9,9,9,9,4],[4,9,9,9,9],[4,9,9,9,9],[9,4,9,9,4],[9,9,9,9,9]],"output":[[8,7,8,8,7],[7,8,8,7,8],[...	0	dataset=solve_bool group=xor predict=rawpixels earlier_prediction=none image_width=medium image_height=large task_pixels=c
Simon-Solve-V1 predict pixels for 'O4T'	I0 6 6 2,,21b72,,2c72,2 O0 6 6 2,,25b72,,2c72,2 I1 6 6 2,,2a79a2,29a7a2,2979a2,2 O1 6 6 2,,2a75a2,25a7a2,2575a2,2 I2 7 9 2,,a24a7a2,,a2747a2,a2a47a2,a2b7a2,a27a4a2,2 O2 7 9 2,,a25a7a2,,a2757a2,a2a57a2,a2b7a2,a27a5a2,2 I3T 8 9 2,,2b7a372,2e72,27a3a732,2e72,2d732,2, O3T None I4T 8 6 2,a2b7672,a26b762,a2d72,2, O4T None	22222222 22777572 22577752 22777772 22222222 22222222	{"train":[{"input":[[2,2,2,2,2,2],[2,2,2,2,2,2],[2,1,7,7,7,2],[2,1,7,7,7,2],[2,7,7,7,7,2],[2,2,2,2,2,2]],"output":[[2,2,2,2,2,2],[2,2,2,2,2,2],[2,5,7,7,7,2],[2,5,7,7,7,2],[2,7,7,7,7,2],[2,2,2,2,2,2]]},{"input":[[2,2,2,2,2,2],[2,2,2,2,2,2],[2,7,7,9,2,2],[2,9,7,7,2,2],[2,9,7,9,2,2],[2,2,2,2,2,2]],"output":[[2,2,2,2,2,2],...	1	dataset=solve_color group=replace_color_different_palettes padding palette_a predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=b
SIMON-SOLVE-VERSION1, O5T, predict raw pixels	I0 10 8 1,a1a3a8a3a1,a1a3c8a1,a1383b8a1,a18a3a83a1,a1838b3a1,1, O0 10 8 1,a1a3a1a3a1,a1a3e1,a1313d1,b1a3a13a1,b131b3a1,1, I1 8 9 1,,a1868a61,a1a68681,a16a8681,a1a68681,a1686a81,a1a86861,1 O1 8 9 1,,b161a61,a1a616a1,a16a16a1,a1a616a1,a1616b1,c16161,1 I2 10 9 1,,a1a5c8a1,a1a85b8a1,a1a85a85a1,a185a8a5a1,a1e5a1,a15858a5a1,...	1111111 1144411 1414111 1111411 1414111 1111111 1111111	{"train":[{"input":[[1,1,1,1,1,1,1,1,1,1],[1,1,3,3,8,8,3,3,1,1],[1,1,3,3,8,8,8,8,1,1],[1,1,3,8,3,8,8,8,1,1],[1,1,8,3,3,8,8,3,1,1],[1,1,8,3,8,3,3,3,1,1],[1,1,1,1,1,1,1,1,1,1],[1,1,1,1,1,1,1,1,1,1]],"output":[[1,1,1,1,1,1,1,1,1,1],[1,1,3,3,1,1,3,3,1,1],[1,1,3,3,1,1,1,1,1,1],[1,1,3,1,3,1,1,1,1,1],[1,1,1,3,3,1,1,3,1,1],[1,...	1	dataset=solve_color group=replace_color_different_palettes padding palette_g predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=b
SIMONSOLVEVERSION1, O4T, predict raw pixels	I0 12 5 c19d131,b19a1c7a1,a19b793c1,b1a9a3d1,1c9f1 O0 11 5 c19c131,b19a1b7a1,a19b793b1,b1a9a3c1,1c9e1 I1 4 12 9,96a9,,a969,,,b96,3a96,9391,9319,a919,9 O1 4 9 9,96a9,a969,b96,3a96,9391,9319,a919,9 I2 12 7 5,,,f52c5,e52d5,d52e5,5 O2 5 5 5,b525,a52a5,52b5,5 I3 2 8 46,09,2,0,4,,94,4 O3 2 7 46,09,2,0,4,94,4 I4T 10 4 79c137a...	791113744 119184409 768841177 114419111	{"train":[{"input":[[1,1,1,1,9,1,1,1,1,1,3,1],[1,1,1,9,1,1,7,7,7,7,1,1],[1,1,9,7,7,7,9,3,1,1,1,1],[1,1,1,9,9,3,3,1,1,1,1,1],[1,9,9,9,9,1,1,1,1,1,1,1]],"output":[[1,1,1,1,9,1,1,1,1,3,1],[1,1,1,9,1,1,7,7,7,1,1],[1,1,9,7,7,7,9,3,1,1,1],[1,1,1,9,9,3,3,1,1,1,1],[1,9,9,9,9,1,1,1,1,1,1]]},{"input":[[9,9,9,9],[9,6,9,9],[9,6,9,...	0	dataset=solve_compress group=compressxy predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=a
SIMON-SOLVE-V1 'O3T' predict the raw pixels	I0 6 7 3,a3b03,,a30903,a3b03,a39093,3 O0 3 5 0,,050,0,505 I1 8 7 3,,a3c093,a39c03,a309b03,3, O1 5 3 c05,5c0,05b0 I2T 6 5 3,3b0a3,,3a09a3,3 O2T None I3T 6 5 3,a39a03,a3a903,a39a03,3 O3T None	500 550 500	{"train":[{"input":[[3,3,3,3,3,3],[3,3,0,0,0,3],[3,3,0,0,0,3],[3,3,0,9,0,3],[3,3,0,0,0,3],[3,3,9,0,9,3],[3,3,3,3,3,3]],"output":[[0,0,0],[0,0,0],[0,5,0],[0,0,0],[5,0,5]]},{"input":[[3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3],[3,3,0,0,0,0,9,3],[3,3,9,0,0,0,0,3],[3,3,0,9,0,0,0,3],[3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3]],"output":[[0...	1	dataset=solve_color group=replace_color_same_palette crop predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a
SIMONSOLVEV1 'O4T' predict the pixels	I0 2 29 58,5,,,,,,,,58,85,5,85,,4,85,8,5,85,8,5,,8,5,85,58,,,8 O0 2 14 0,,9,09,0,9,,0,9,0,,90,0,90 I1 5 9 8b58,5c8,858a5,a5a85,4,5,c58,5,a8585 O1 5 4 0b90,9b09,090a9,b0a9 I2 15 27 b58b585a858a5,8b5a858d585,58a58i5,a58a58d5a858,858g5a8a5,l585,i58c5,a58b58a5a8c5,58a58d58c5,8b58i5,g5858b58,e58a58d5,e5a8f5,4,58e58585858,8b...	09900999 99999099 90099999 90090900 90999909 09990990 90909909 90999999 99909000 90999099	{"train":[{"input":[[5,8],[5,5],[5,5],[5,5],[5,5],[5,5],[5,5],[5,5],[5,5],[5,8],[8,5],[5,5],[8,5],[8,5],[4,4],[8,5],[8,8],[5,5],[8,5],[8,8],[5,5],[5,5],[8,8],[5,5],[8,5],[5,8],[5,8],[5,8],[8,8]],"output":[[0,0],[0,0],[9,9],[0,9],[0,0],[9,9],[9,9],[0,0],[9,9],[0,0],[0,0],[9,0],[0,0],[9,0]]},{"input":[[8,5,5,5,8],[5,8,8,...	0	dataset=solve_bool group=xor predict=rawpixels earlier_prediction=none image_width=medium image_height=other task_pixels=c
simonsolvev1 'O3T' predict the raw pixels	I0 13 14 64646434a6a46,e43d46,6b4643a46b4,b46a43a46b4,b46a43e4,b46a43c464,b4a643b46a4,6464643b4646,e43c464,6a4a643d46,46a4643a46a46,b46a43e4,46b463d46,c6a436d4 O0 6 14 a6a7a6,d76,676767,a7a6a7,b76a7,b7a67,c767,67c6,c767,6a7b6,7a67a6,b76a7,76c7,7b6a7 I1 17 7 b4a6b43g4,6b4a6a4346e4,a6a4a6463d46a4,46464b636f4,b4d63g4,4646...	6676776 6766777 6677666 7667767 7777767 6666767 7767666 6767676 6666777 6777676 7677767 7776677 6677676 6667767	{"train":[{"input":[[6,4,6,4,6,4,3,4,6,6,4,4,6],[4,4,4,4,4,4,3,4,4,4,4,4,6],[6,4,4,4,6,4,3,4,4,6,4,4,4],[4,4,4,6,4,4,3,4,4,6,4,4,4],[4,4,4,6,4,4,3,4,4,4,4,4,4],[4,4,4,6,4,4,3,4,4,4,4,6,4],[4,4,4,6,6,4,3,4,4,4,6,4,4],[6,4,6,4,6,4,3,4,4,4,6,4,6],[4,4,4,4,4,4,3,4,4,4,4,6,4],[6,4,4,6,6,4,3,4,4,4,4,4,6],[4,6,4,4,6,4,3,4,4,6...	0	dataset=solve_bool group=xor predict=rawpixels earlier_prediction=none image_width=large image_height=medium task_pixels=c
simon-solve-version1, 'O2T', predict the raw pixels	I0 11 9 6,,a6b51a51a6,a65a15a15a6,a6a151b5a6,a615a1515a6,a65b1a51a6,a6b151a5a6,6 O0 11 9 6,,a6b71a71a6,a67a17a17a6,a6a171b7a6,a617a1717a6,a67b1a71a6,a6b171a7a6,6 I1 10 9 6,,a6e1a6,,a615b15a6,a6a5c1a6,a65d1a6,a6515b1a6,6 O1 10 9 6,,a6e1a6,,a617b17a6,a6a7c1a6,a67d1a6,a6717b1a6,6 I2T 10 5 6,a6c151a6,a6515a15a6,a6d15a6,6 O...	6666666666 6611117166 6671711766 6611111766 6666666666	{"train":[{"input":[[6,6,6,6,6,6,6,6,6,6,6],[6,6,6,6,6,6,6,6,6,6,6],[6,6,5,5,5,1,5,5,1,6,6],[6,6,5,1,1,5,1,1,5,6,6],[6,6,1,1,5,1,5,5,5,6,6],[6,6,1,5,1,1,5,1,5,6,6],[6,6,5,1,1,1,5,5,1,6,6],[6,6,1,1,1,5,1,5,5,6,6],[6,6,6,6,6,6,6,6,6,6,6]],"output":[[6,6,6,6,6,6,6,6,6,6,6],[6,6,6,6,6,6,6,6,6,6,6],[6,6,7,7,7,1,7,7,1,6,6],[...	0	dataset=solve_color group=replace_color_same_palette padding predict=rawpixels earlier_prediction=none image_width=medium image_height=small task_pixels=a
simon-solve-version1, 'O2T', predict the pixels	I0 25 2 c818a181a87a26a26b2a62,k8762b6b2c6 O0 12 2 a060c6a060,60b6b0c6 I1 17 3 1b818187g6,a81a8a1872b62b6,8a1b81872c62a6 O1 8 3 0b60606,0606b06,b0a6a06 I2T 31 13 8b18g1a87b2a6c262c6,18b1a8a1818b1762b626b2a6a26,1a8a1818a1a8b172a62c62a6a262,1f81e87a262a6262c626,c8a1a8e1872626262e6a2,g1a81b817b62a6a262d6,81a8b181a8a1a87a6...	066066666060066 000000666006660 666606066060606 606066066666606 060660060000060 000600666006660 600060660600606 666006600006006 606006660000660 666066060006666 606600666606066 066606600066666 060660666000660	{"train":[{"input":[[8,8,8,8,1,8,1,1,8,1,8,8,7,2,2,6,2,2,6,2,2,2,6,6,2],[8,8,8,8,8,8,8,8,8,8,8,8,7,6,2,6,6,6,2,2,2,6,6,6,6]],"output":[[0,0,6,0,6,6,6,6,0,0,6,0],[6,0,6,6,6,0,0,0,6,6,6,6]]},{"input":[[1,8,8,8,1,8,1,8,7,6,6,6,6,6,6,6,6],[8,8,1,8,8,1,1,8,7,2,6,6,6,2,6,6,6],[8,1,1,8,8,8,1,8,7,2,6,6,6,6,2,6,6]],"output":[[0...	0	dataset=solve_bool group=xor predict=rawpixels earlier_prediction=none image_width=other image_height=medium task_pixels=b
simon-solve-v1 predict raw pixels for O4T	I0 25 6 c93939a3a90b81g8,c3g901j8,9c3a93c90k8,a3c9393a930d81e8,3d9b393901j8,3b93a9393930b81a8181b8 O0 12 6 b3a7373a7a3,3b7g3,3c7a37c3,a7b3a737a37,e3b7373,7a3a73c737 I1 5 15 930a8,a90a8,,930a8,a3018,390a8,a30a8,390a1,a90a8,a9081,930a8,a30a8,a9081,93081,a90a8 O1 2 15 37,3,,37,,73,7,37,3,37,,7,37,3, I2 5 4 a30a8,a9018,a90...	73 73 33 37 37 77 33 77 77	{"train":[{"input":[[9,9,9,9,3,9,3,9,3,3,9,9,0,8,8,8,1,8,8,8,8,8,8,8,8],[3,3,3,3,9,9,9,9,9,9,9,9,0,1,8,8,8,8,8,8,8,8,8,8,8],[9,3,3,3,3,9,9,3,9,9,9,9,0,8,8,8,8,8,8,8,8,8,8,8,8],[3,3,9,9,9,9,3,9,3,9,9,3,0,8,8,8,8,8,1,8,8,8,8,8,8],[3,9,9,9,9,9,3,3,3,9,3,9,0,1,8,8,8,8,8,8,8,8,8,8,8],[3,9,9,9,3,9,9,3,9,3,9,3,0,8,8,8,1,8,8,1...	1	dataset=solve_bool group=xor predict=rawpixels earlier_prediction=none image_width=large image_height=medium task_pixels=b
simon-solve-v1, 'O4T', predict the raw pixels	I0 11 9 e4c34,4d34a3a4,c4243c4,c423d4,b4a3e4,a432a52c4,c542d4,4, O0 10 8 e4b34,4d343a4,c4243b4,c423c4,b4a3d4,a432a52b4,c542c4,4 I1 10 10 5,,,,,,,,, O1 1 1 5 I2 10 3 9h4,a5b4d9,9 O2 4 3 9b4,a549,9 I3 5 10 a4a84,4,,a48a4,4,484a8,4,,48b4,84848 O3 5 8 a4a84,4,a48a4,4,484a8,4,48b4,84848 I4T 3 10 283,286,,782,282,823,8a2,,82...	283 286 782 282 823 822 827 222	{"train":[{"input":[[4,4,4,4,4,4,3,3,3,3,4],[4,3,3,3,3,3,4,3,3,4,4],[4,4,4,4,2,4,3,4,4,4,4],[4,4,4,4,2,3,4,4,4,4,4],[4,4,4,3,3,4,4,4,4,4,4],[4,4,3,2,5,5,2,4,4,4,4],[5,5,5,5,4,2,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4,4]],"output":[[4,4,4,4,4,4,3,3,3,4],[4,3,3,3,3,3,4,3,4,4],[4,4,4,4,2,4,3,4,4,4],[4,4,4,...	0	dataset=solve_compress group=compressxy predict=rawpixels earlier_prediction=none image_width=medium image_height=small task_pixels=a
Simon-Solve-V1 'O3T' predict the raw pixels	I0 23 6 a1c6a16a18c0b909a0,b16a1a61a6809e0b9,1b61a61b68b09f0,a1e6a168a0a909a0a90,a616d1618b0a9090a90,b1a6b1a618j0 O0 11 6 a3a2a32c3,3232a3b2a3,3a2a3a23b2,c323d2,a2a323232a3,b3a2b3a23 I1 11 10 a1b68d0,61a618d0,a1b68d0,b6a18d0,a16a18c09,6a1a68c09,6c18d0,b6a180a9a0,1a6168c09,161618d0 O1 5 10 a3b2,23a23,a3b2,b2a3,a3232,2a3...	2323233 2323333 3333322 2322322 2223223	{"train":[{"input":[[1,1,6,6,6,6,1,1,6,1,1,8,0,0,0,0,9,9,9,0,9,0,0],[1,1,1,6,1,1,6,6,1,6,6,8,0,9,0,0,0,0,0,0,9,9,9],[1,6,6,6,1,6,6,1,6,6,6,8,0,0,0,9,0,0,0,0,0,0,0],[1,1,6,6,6,6,6,6,1,1,6,8,0,0,9,9,0,9,0,0,9,9,0],[6,6,1,6,1,1,1,1,1,6,1,8,0,0,0,9,9,0,9,0,9,9,0],[1,1,1,6,6,1,1,1,6,6,1,8,0,0,0,0,0,0,0,0,0,0,0]],"output":[[...	0	dataset=solve_bool group=xor predict=rawpixels earlier_prediction=none image_width=large image_height=medium task_pixels=c
SIMON-SOLVE-VERSION1 predict raw pixels for 'O3T'	I0 5 4 43b4,c43,3c4,c43 O0 5 4 47b4,c47,7c4,c47 I1 4 3 40a4,b40,4 O1 4 3 47a4,b47,4 I2T 3 3 1a4,a41,1a4 O2T None I3T 3 5 5a4,454,5a4,4a5,a54 O3T None	744 474 744 477 774	{"train":[{"input":[[4,3,4,4,4],[4,4,4,4,3],[3,4,4,4,4],[4,4,4,4,3]],"output":[[4,7,4,4,4],[4,4,4,4,7],[7,4,4,4,4],[4,4,4,4,7]]},{"input":[[4,0,4,4],[4,4,4,0],[4,4,4,4]],"output":[[4,7,4,4],[4,4,4,7],[4,4,4,4]]}],"test":[{"input":[[1,4,4],[4,4,1],[1,4,4]],"output":[[7,4,4],[4,4,7],[7,4,4]]},{"input":[[5,4,4],[4,5,4],[5...	1	dataset=solve_color group=replace_color_different_palettes no_padding palette_a predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a
simon-solve-v1, 'O5T', predict the pixels	I0 5 10 b010,c07,0,,a02a0,0,,,, O0 5 10 1,b161,,,1,,,,, I1 7 10 0,,d040,a06c0,0,d080,0,b08b0,0, O1 7 10 1,,,b1a6a1,,,,1,, I2 10 14 0,h06,0,f06a0,37g0,a05f0,0,,,,,,, O2 10 14 1,,1g61,,,1,,,,,,,, I3 11 9 a09g0,0,c06e0,0,g09a0,0,,,g03a0 O3 11 9 1,b1d6b1,,,,,,,1 I4T 14 12 e03f0,0,l04,f09e0,0,,,b09a02f0,0,,, O4T None I5T 12...	111111111111 111111111111 111111661111 111111661111 111111111111 111111111111 111111111111	{"train":[{"input":[[0,0,0,1,0],[0,0,0,0,7],[0,0,0,0,0],[0,0,0,0,0],[0,0,2,0,0],[0,0,0,0,0],[0,0,0,0,0],[0,0,0,0,0],[0,0,0,0,0],[0,0,0,0,0]],"output":[[1,1,1,1,1],[1,1,1,6,1],[1,1,1,6,1],[1,1,1,6,1],[1,1,1,1,1],[1,1,1,1,1],[1,1,1,1,1],[1,1,1,1,1],[1,1,1,1,1],[1,1,1,1,1]]},{"input":[[0,0,0,0,0,0,0],[0,0,0,0,0,0,0],[0,0,...	1	dataset=solve_boundingbox group=boundingbox_of_lonely_pixels filled_inner predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
Simon-Solve-Version1, 'O5T', predict the pixels	I0 7 4 39a2b3,39a3b2,39d3, O0 4 3 3923,3932,39a3 I1 2 5 4,,14,45,65 O1 2 4 4,14,45,65 I2 3 3 a17,1,a17 O2 2 3 17,1,17 I3 6 12 5,c525,b5625,b52a5,,,a52651,a526a7,a526a5,5128a5,128b5,52c5 O3 6 10 5,c525,b5625,b52a5,a52651,a526a7,a526a5,5128a5,128b5,52c5 I4T 4 5 b57,a507,50a5,,0b5 O4T None I5T 4 12 13a6,63a6,6316,6936,693...	1366 6366 6316 6936 6938 1938 9938 5438 6643 6663 1163	{"train":[{"input":[[3,9,2,2,3,3,3],[3,9,3,3,2,2,2],[3,9,3,3,3,3,3],[3,9,3,3,3,3,3]],"output":[[3,9,2,3],[3,9,3,2],[3,9,3,3]]},{"input":[[4,4],[4,4],[1,4],[4,5],[6,5]],"output":[[4,4],[1,4],[4,5],[6,5]]},{"input":[[1,1,7],[1,1,1],[1,1,7]],"output":[[1,7],[1,1],[1,7]]},{"input":[[5,5,5,5,5,5],[5,5,5,5,2,5],[5,5,5,6,2,5]...	1	dataset=solve_compress group=compressxy predict=rawpixels earlier_prediction=none image_width=small image_height=medium task_pixels=a
simonsolveversion1, 'O3T', predict the raw pixels	I0 12 9 a5i0,5j0,05c05d0,5b05a0505a0,4,e05d0,5c05a05a05,c05f0,5b05e05 O0 12 4 a5c65d6,d65a65a65,65a6565d6,f656565 I1 5 13 0,a5b0,05b0,0,,,4,a5a05,,a05a0,,,0 O1 5 6 a5a65,c65,6a5a6,a65a6,,6 I2 3 13 a50,5,050,0,050,0,4,0,,a05,0,a05,050 O2 3 6 a56,5,6a5,6,6a5,656 I3T 6 29 b50a5,050505,a0b50,b0a50,a0a5a0,505b0,d05,a505a0,5...	555655 555655 666665 656665 555655 555666 566555 555555 556566 565556 656556 565565 555565 656665	{"train":[{"input":[[5,5,0,0,0,0,0,0,0,0,0,0],[5,0,0,0,0,0,0,0,0,0,0,0],[0,5,0,0,0,0,5,0,0,0,0,0],[5,0,0,0,5,0,0,5,0,5,0,0],[4,4,4,4,4,4,4,4,4,4,4,4],[0,0,0,0,0,0,5,0,0,0,0,0],[5,0,0,0,0,5,0,0,5,0,0,5],[0,0,0,0,5,0,0,0,0,0,0,0],[5,0,0,0,5,0,0,0,0,0,0,5]],"output":[[5,5,6,6,6,6,5,6,6,6,6,6],[6,6,6,6,6,5,6,6,5,6,6,5],[6,...	0	dataset=solve_bool group=xor predict=rawpixels earlier_prediction=none image_width=medium image_height=large task_pixels=b
SIMON-SOLVE-VERSION1, 'O3T', predict the pixels	I0 6 2 5c79,b8b5 O0 4 2 5a79,a8a5 I1 9 3 e4a14,a4b91794,121a4b94 O1 8 3 d4a14,a4a91794,1214b94 I2 3 8 5,925,595,,593,a30,3a0,0a1 O2 3 7 5,925,595,593,a30,3a0,0a1 I3T 3 9 3a6,,306,036,,6a3,106,606,031 O3T None	366 306 036 633 106 606 031	{"train":[{"input":[[5,7,7,7,7,9],[8,8,8,5,5,5]],"output":[[5,7,7,9],[8,8,5,5]]},{"input":[[4,4,4,4,4,4,1,1,4],[4,4,9,9,9,1,7,9,4],[1,2,1,4,4,9,9,9,4]],"output":[[4,4,4,4,4,1,1,4],[4,4,9,9,1,7,9,4],[1,2,1,4,9,9,9,4]]},{"input":[[5,5,5],[9,2,5],[5,9,5],[5,9,5],[5,9,3],[3,3,0],[3,0,0],[0,1,1]],"output":[[5,5,5],[9,2,5],[...	0	dataset=solve_compress group=compressxy predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a
simon-solve-v1 predict raw pixels for 'O3T'	I0 11 11 6,,a6g16,a61e616,a61a69b616,a61626a9616,a616b29616,a616269a616,a61e616,a6g16,6 O0 11 11 1,,a1g61,,a1b69c61,a1a626a9a61,a1a6b29a61,a1a6269b61,a1g61,,1 I1 14 13 6,,d6g16,d61e616,d61a69b616,d61b69a616,d61a6a2a616,d6g16,6,,,, O1 14 13 1,,d1g61,,d1b69c61,d1c69b61,d1b6a2b61,d1g61,1,,,, I2T 14 14 6,,,b6i16,b61g616,,b...	11111111111111 11111111111111 11111111111111 11111166666611 11111166666611 11111166996611 11111166269611 11111166269611 11111166622611 11111166666611 11111166666611 11111166666611 11111166666611 11111111111111	{"train":[{"input":[[6,6,6,6,6,6,6,6,6,6,6],[6,6,6,6,6,6,6,6,6,6,6],[6,6,1,1,1,1,1,1,1,1,6],[6,6,1,6,6,6,6,6,6,1,6],[6,6,1,6,6,9,6,6,6,1,6],[6,6,1,6,2,6,9,9,6,1,6],[6,6,1,6,2,2,2,9,6,1,6],[6,6,1,6,2,6,9,6,6,1,6],[6,6,1,6,6,6,6,6,6,1,6],[6,6,1,1,1,1,1,1,1,1,6],[6,6,6,6,6,6,6,6,6,6,6]],"output":[[1,1,1,1,1,1,1,1,1,1,1],[...	1	dataset=solve_boundingbox group=boundingbox_inner swap_background_outer predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
simonsolvev1 'O3T' predict the pixels	I0 5 3 18a61,18b1, O0 5 3 6,, I1 3 4 1a3,183,1a3, O1 3 4 8,,, I2 4 6 6193,9,31a9,,8369,a6a9 O2 4 6 8,,,,, I3T 3 7 9a8,,894,,a89,849,8a4 O3T None I4T 7 7 24787a2,5c4a2,257a2a7,2858428,8245b2,4a24574,a278a28 O4T None	444 444 444 444 444 444 444	{"train":[{"input":[[1,8,6,6,1],[1,8,1,1,1],[1,8,1,1,1]],"output":[[6,6,6,6,6],[6,6,6,6,6],[6,6,6,6,6]]},{"input":[[1,3,3],[1,8,3],[1,3,3],[1,3,3]],"output":[[8,8,8],[8,8,8],[8,8,8],[8,8,8]]},{"input":[[6,1,9,3],[9,9,9,9],[3,1,9,9],[3,1,9,9],[8,3,6,9],[6,6,9,9]],"output":[[8,8,8,8],[8,8,8,8],[8,8,8,8],[8,8,8,8],[8,8,8,...	0	dataset=solve_color group=mostleast_popular_color least_popular same predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a
SIMONSOLVEV1 'O4T' predict the raw pixels	I0 9 3 6b58b93,56a589393,c589b3 O0 4 3 2a82,b82,8b2 I1 9 4 a6568c3,a656839a3,c58c3,65658c3 O1 4 4 a828,8a28,2,8282 I2 15 5 6d568c9b3,65a65a6839d3,a56a56583939b3,a5a65658b3a9a3,a6d58a39c3 O2 7 5 2b8a28,c82a8,2b8282,a282a82,b8c2 I3 15 11 b56b58f3,f58a9d3,b56b58f3,5a6a56589e3,f58f3,c56a58f3,f589e3,f58b39a39,f58f3,c56a58f3...	22222882 22222222 22222222 88222222 82822288 28222822 88222282 28282822 28228228 28222222 22228222	{"train":[{"input":[[6,5,5,5,8,9,9,9,3],[5,6,5,5,8,9,3,9,3],[5,5,5,5,8,9,3,3,3]],"output":[[2,8,8,2],[8,8,8,2],[8,2,2,2]]},{"input":[[6,6,5,6,8,3,3,3,3],[6,6,5,6,8,3,9,3,3],[5,5,5,5,8,3,3,3,3],[6,5,6,5,8,3,3,3,3]],"output":[[8,8,2,8],[8,2,2,8],[2,2,2,2],[8,2,8,2]]},{"input":[[6,5,5,5,5,5,6,8,9,9,9,9,3,3,3],[6,5,6,6,5,6...	0	dataset=solve_bool group=xor predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b
SIMONSOLVEVERSION1, O3T, predict pixels	I0 6 5 3a63a6,a63636,a63a63,a63b6,d36 O0 6 5 9a69a6,a69696,a69a69,a69b6,d96 I1 5 5 63a63,b3a6,b636,a3636,b636 O1 5 5 69a69,b9a6,b696,a9696,b696 I2T 5 5 b636,b363,3c6,,a6b3 O2T None I3T 5 5 a3a63,6,c63,6,b636 O3T None	99669 66666 66669 66666 66696	{"train":[{"input":[[3,6,6,3,6,6],[6,6,3,6,3,6],[6,6,3,6,6,3],[6,6,3,6,6,6],[3,3,3,3,3,6]],"output":[[9,6,6,9,6,6],[6,6,9,6,9,6],[6,6,9,6,6,9],[6,6,9,6,6,6],[9,9,9,9,9,6]]},{"input":[[6,3,6,6,3],[3,3,3,6,6],[6,6,6,3,6],[3,3,6,3,6],[6,6,6,3,6]],"output":[[6,9,6,6,9],[9,9,9,6,6],[6,6,6,9,6],[9,9,6,9,6],[6,6,6,9,6]]}],"te...	1	dataset=solve_color group=replace_color_same_palette no_padding predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a
simon-solve-version1 'O2T' predict the pixels	I0 8 11 3,,a342b43,a32a4243,a3a42a43,a3d43,a3a42a43,a3a4a243,a34a2423,3, O0 5 7 42b4,2a424,a42a4,4,a42a4,a4a24,4a242 I1 11 8 3,,a3f4a3,a3c41a4a3,a3a41a4a1a3,a341d4a3,3, O1 7 4 4,c41a4,a41a4a1,41d4 I2T 6 6 3,354543,35a453,3a5a43,3, O2T None I3T 5 9 3,,38483,3b43,,3a483,3b43,,3 O3T None	5454 5445 5544	{"train":[{"input":[[3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3],[3,3,4,2,4,4,4,3],[3,3,2,4,4,2,4,3],[3,3,4,4,2,4,4,3],[3,3,4,4,4,4,4,3],[3,3,4,4,2,4,4,3],[3,3,4,4,2,2,4,3],[3,3,4,2,2,4,2,3],[3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3]],"output":[[4,2,4,4,4],[2,4,4,2,4],[4,4,2,4,4],[4,4,4,4,4],[4,4,2,4,4],[4,4,2,2,4],[4,2,2,4,2]]},{"inp...	0	dataset=solve_color group=replace_color_different_palettes crop palette_donothing predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=a
SIMON-SOLVE-V1 'O4T' predict the pixels	I0 2 22 0,1,01,0,,,,,,10,0,67,76,6,67,6,67,6,76,6,,67 O0 2 11 91,,,,9,91,9,19,9,19,91 I1 15 18 b010a101b01a0,d0b1a010101,a1d01e01,a01b01a01a0b1,b0101h0,0101d0b1b0,h0a10a10,b01d01a01a0,d0c1a01b0,6b7e676b7,676a76c7b676,7d67a67d6,h67b676,a7c6767d67,b67a67e6a7,7a6a767676767a6,b767a6b7c67,a7a67676c76a7 O1 15 9 9a1a9a19191a9...	9119999999999 9999999999999 9911919999999 1919999919199 9911999199999 9991199999999 9999199199199 1999999919999 9199999919991	{"train":[{"input":[[0,0],[1,1],[0,1],[0,0],[0,0],[0,0],[0,0],[0,0],[0,0],[1,0],[0,0],[6,7],[7,6],[6,6],[6,7],[6,6],[6,7],[6,6],[7,6],[6,6],[6,6],[6,7]],"output":[[9,1],[9,1],[9,1],[9,1],[9,9],[9,1],[9,9],[1,9],[9,9],[1,9],[9,1]]},{"input":[[0,0,0,1,0,1,1,0,1,0,0,0,1,0,0],[0,0,0,0,0,1,1,1,0,0,1,0,1,0,1],[1,1,0,0,0,0,0,...	0	dataset=solve_bool group=xor predict=rawpixels earlier_prediction=none image_width=medium image_height=large task_pixels=c
SIMONSOLVEV1 predict raw pixels for 'O4T'	I0 11 5 c97e9,a94g9,c95e9,9,925g9 O0 11 5 2c72d7,,,, I1 13 6 k95,,g98c9,e98e9,9, O1 13 6 d72f7,,,,d7g2,7 I2 10 14 9,,,97g9,9,,c97a92a9,9,,,,95g9,a91f9,9 O2 10 14 7,,h27,2f727,,,,,,,,,,h27 I3T 13 11 g90c9,i94a9,h94b9,9,h92b9,9,,,,, O3T None I4T 11 4 b94d939,9,f93b9,9 O4T None	77277777772 77277777772 77277777772 77222222222	{"train":[{"input":[[9,9,9,9,7,9,9,9,9,9,9],[9,9,4,9,9,9,9,9,9,9,9],[9,9,9,9,5,9,9,9,9,9,9],[9,9,9,9,9,9,9,9,9,9,9],[9,2,5,9,9,9,9,9,9,9,9]],"output":[[2,7,7,7,7,2,7,7,7,7,7],[2,7,7,7,7,2,7,7,7,7,7],[2,7,7,7,7,2,7,7,7,7,7],[2,7,7,7,7,2,7,7,7,7,7],[2,7,7,7,7,2,7,7,7,7,7]]},{"input":[[9,9,9,9,9,9,9,9,9,9,9,9,5],[9,9,9,9,...	1	dataset=solve_boundingbox group=boundingbox_of_lonely_pixels hollow_outer predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b
Simon-Solve-Version1, 'O4T', predict the pixels	I0 10 3 d82b98,b2b98454,c87b4a8 O0 8 3 b82b98,2b98454,a87b4a8 I1 9 12 9,,,,,d96b7,9,,,,, O1 3 3 9,967,9 I2 12 8 1,,e14d1,e14a1a61,d141a68a1,c18468c1,b1a0f1,1 O2 10 7 1,c14d1,c14a1a61,b141a68a1,a18468c1,1a0f1,1 I3T 7 8 3,b303a4,b304a3,39408a3,39a36a3,d5a6,9a6c3,6e3 O3T None I4T 8 2 a6a9a6a0,6c4075 O4T None	6696600 6444075	{"train":[{"input":[[8,8,8,8,8,2,9,9,9,8],[2,2,2,9,9,9,8,4,5,4],[8,8,8,8,7,4,4,4,8,8]],"output":[[8,8,8,2,9,9,9,8],[2,9,9,9,8,4,5,4],[8,8,7,4,4,4,8,8]]},{"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],[9,9,9,9,9,6,7,7,7],[9,9,9,9,9,9,9,9,9],[9,9,9,9,9,9,9,9,...	1	dataset=solve_compress group=compressxy predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=a
SIMONSOLVEV1 predict raw pixels for O3T	I0 11 14 3,,,,,,,,,,g36a3,f36b3,3,f35b3 O0 11 14 9,,,,,,,,,,f9a3a9,,, I1 5 6 3,,9c3,3,,a3523 O1 5 6 9,,c39,,, I2 9 8 3,,e34a3,g36,31d363,32f3,3, O2 9 8 9,,9g3,,,,9, I3T 8 8 3,,,d38a3,37e3,d30a3,3,38e3 O3T None	99999999 99999999 99999999 93333399 93333399 93333399 93333399 93333399	{"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],[3,3,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3,6,3,3],[3,3,3,3,3,3,3,6,3,3,3],[3,3,3,3,3,3...	0	dataset=solve_boundingbox group=boundingbox_of_lonely_pixels filled predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b
Simon-Solve-V1 predict raw pixels for 'O3T'	I0 4 5 6,2b6,6,2b6,6 O0 4 5 a1a8,81a8,,,a1a8 I1 14 11 6,c64h6,6,,,e60f6,l68,6,,f68e6,e68f6 O1 14 11 b8j1,b81i8,,,,,,,,, I2 8 6 96a7c6,f69,6,,, O2 8 6 8,,1,8,, I3T 10 9 a65f6,6,,69c61b6,6,,,f64a6,6 O3T None I4T 14 13 6,,,,64k6,6,,,a65j6,i67b6,h67c6,6, O4T None	1888888818 1888888818 1888888818 1888888818 1888888818 1888888818 1888888818 1888888818 1111111118	{"train":[{"input":[[6,6,6,6],[2,6,6,6],[6,6,6,6],[2,6,6,6],[6,6,6,6]],"output":[[1,1,8,8],[8,1,8,8],[8,1,8,8],[8,1,8,8],[1,1,8,8]]},{"input":[[6,6,6,6,6,6,6,6,6,6,6,6,6,6],[6,6,6,6,4,6,6,6,6,6,6,6,6,6],[6,6,6,6,6,6,6,6,6,6,6,6,6,6],[6,6,6,6,6,6,6,6,6,6,6,6,6,6],[6,6,6,6,6,6,6,6,6,6,6,6,6,6],[6,6,6,6,6,6,0,6,6,6,6,6,6,...	0	dataset=solve_boundingbox group=boundingbox_of_lonely_pixels hollow_outer predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b

End of preview. Expand in Data Studio

Version 1

A combination of multiple datasets.

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

Version 2

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

Version 3

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

Version 4

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

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

Version 5

Different random seed.

Version 6

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

Version 7

Using SIMON-SOLVE-V1 everywhere.

Version 8

Same settings. Different seed as usual.

Version 9

Switching from context length 256 to context length 512.

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

dataset_solve_color, image size: 1-13.

dataset_solve_rotate, image size: 1-9.

dataset_solve_translate, image size: 3-9.

Version 10

Same settings. Different seed as usual.

Version 11

Same settings. Different seed as usual.

Version 12

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

Version 13

Same settings. Different seed as usual.

Version 14

Same settings. Different seed as usual.

Version 15

Same settings. Different seed as usual.

Version 16

Added Predict the output image.

Disabled prediction of rows.

Disabled prediction of height.

Verison 17

Same settings. Different seed as usual.

Using the DatasetGenerator and the DatasetItemListBuilder.

Verison 18

Added datasets.

Datasets:

dataset_solve_color.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 166

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',