Datasets:

neoneye
/

simon-arc-combine-v172

instruction stringclasses 392 values	input stringlengths 120 2.88k	output stringlengths 2 755	arc_task stringlengths 441 26k	test_index int64 0 1	benchmark stringclasses 259 values
simonsolvev1, 'O4T', predict the raw pixels	I0 8 17 2,,,,,,a23d2,2,,,,,,,,, O0 8 17 5,,,,d6b5,,,,,5,,,,,,, I1 18 6 j23e2,d21k2,23o2,2,,k28d2 O1 18 6 g65d6c5,,,g6a5d6b5,c6e5d6b5,i5d6b5 I2 19 16 2,,,,k29e2,2,d23l2,2,h21h2,d23l2,2,,,,, O2 19 16 5,,i5d6c5,,b5d6a5d6c5,,b5k6c5,b5h6f5,,,,b5d6j5,5,,, I3 7 11 2,,,,,,,,,c27a2,2 O3 7 11 5,,,,,,,a5d6,,, I4T 6 18 2,,,,,,,,,,...	555555 555555 555555 555555 555555 555555 555555 555555 555555 555555 555555 555555 555555 555555 555555 566666 566666 566666	{"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],[2,2,3,2,2,2,2,2],[2,2,2,2,2,2,2,2],[2,2,2,2,2,2,2,2],[2,2,2,2,2,2,2,2],[2,2,2,2,2,2,2,2],[2,2,2,2,2,2,2,2],[2,2,2,2,2,2,2,2],[2,2,2,2,2,2,2,2],[2,2,2,2,2,2,2,2],[2,2,2,2,2,2,2,2],[2,2,2,2,2,2...	0	dataset=solve_ray group=emit_rays_from_lonely_pixels predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
SIMONSOLVEV1 predict raw pixels for 'O4T'	I0 5 6 7,c71,7a571,2a7a5,7a837,7 O0 4 6 6716,,,7,6a71, I1 22 15 b9a7907973a97g9,e709a7a9797f9,a9a7a970a7d97979373,b7c90a7b9b39a7a97,a79a737097b3a63b79a7,a9a79a7097a965a3739a39,a97b979093b9c57127,3d9790a7393a7a1a597,b97c9097b9a1a9a797,a797c90a9b197a973a9,9a7b979b1b97c9793,797b9a1a879a7a39a7a97,793b18b937e9a797,7a197937a...	677677776777677776771 677677776777677776771 677677776777677776771 677677776777677776771 677677776777677776771 677677776777677776771 677677776777677776771 677677776777677771771 677677776777177771771 677677771777177771771 677177771777177771771 777177771777177771771	{"train":[{"input":[[7,7,7,7,7],[7,7,7,7,1],[7,5,5,7,1],[2,7,7,5,5],[7,8,8,3,7],[7,7,7,7,7]],"output":[[6,7,1,6],[6,7,1,6],[6,7,1,6],[7,7,7,7],[6,7,7,1],[6,7,7,1]]},{"input":[[9,9,9,7,7,9,0,7,9,7,3,9,9,7,9,9,9,9,9,9,9,9],[7,7,7,7,7,7,0,9,7,7,9,9,7,9,7,9,9,9,9,9,9,9],[9,9,7,7,9,9,7,0,7,7,9,9,9,9,9,7,9,7,9,3,7,3],[7,7,7,...	1	dataset=solve_mass group=mass_compare_adjacent_columns predict=rawpixels earlier_prediction=none image_width=large image_height=medium task_pixels=c
simon-solve-v1 'O3T' predict the pixels	I0 18 18 c6a9c6a9e6,,a9c6a9i6,,k9e6,,i6a9c6a9,,e6a9c6a9c6,,e6k9,,6,,,,, O0 9 9 e6b9,,,b9e6,,,9,, I1 18 18 a6c9k6,,a9a6a9k6,,a9o6,,g6c9e6,,e6a9a6a9e6,,e6a9i6,,g6c9a6c9,,e6a9a6c9a6a9,,e6a9c6a9c6, O1 9 9 b6e9,,,b9b6b9,,,b9e6,, I2 18 18 e6a9a6a9e6,,e6c9g6,,e6a9i6,,k6a9a6a9,,k6c9a6,,k6a9c6,,e6a9a6c9a6a9,,e6c9a6c9a6,,e6a9c6a...	999666666 999666666 999666666 666999999 666999999 666999999 999999666 999999666 999999666	{"train":[{"input":[[6,6,6,6,9,9,6,6,6,6,9,9,6,6,6,6,6,6],[6,6,6,6,9,9,6,6,6,6,9,9,6,6,6,6,6,6],[9,9,6,6,6,6,9,9,6,6,6,6,6,6,6,6,6,6],[9,9,6,6,6,6,9,9,6,6,6,6,6,6,6,6,6,6],[9,9,9,9,9,9,9,9,9,9,9,9,6,6,6,6,6,6],[9,9,9,9,9,9,9,9,9,9,9,9,6,6,6,6,6,6],[6,6,6,6,6,6,6,6,6,6,9,9,6,6,6,6,9,9],[6,6,6,6,6,6,6,6,6,6,9,9,6,6,6,6,9...	0	dataset=solve_fractal group=fractal_to_pattern predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
SIMONSOLVEVERSION1 predict raw pixels for 'O2T'	I0 17 14 1,,o18,1,,,,,m13a1,1,,,,m19a1 O0 17 14 m4848,,,m4b8,m4848,l4a848,k484848,j48a4b8,i48b4848,h48b4a848,g48b484848,f48b48a4848,e48b48b4b8,d48b48c4848 I1 16 16 1,,19m1,1,,,,,,,i19d1,h19e1,1,,, O1 16 16 4848d4a8d4,4a8e4a8d4,48f4a8d4,a8f4a8d4,48f4a8d4,48f4a8c48,48f4a8b484,48f4a8a48a4,48f4a848b4,48f4b8c4,48f4a8d4,,48e...	44448844448444484448 44448444484444484448 44488444844444484448 44848448444444484488 48448484444444484888 84448844444444488848 44448444444444488448 44488444444444884448 44848444444448884448 48448444444488484448 84448444444884484448 44448444448844484448 44448444488444484448 44448444884444484448 44448448844444484448 44448...	{"train":[{"input":[[1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1],[1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1],[1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,8],[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...	0	dataset=solve_ray group=emit_rays_from_lonely_pixels predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=d
simon-solve-v1 'O5T' predict the raw pixels	I0 11 8 5,,,i52,g5a25,a5a9b52575,c5b957a5,f597a5 O0 11 8 1,,,i21,g2a51,a9a5b25751,c9b575a1,f975a1 I1 12 11 69c76d7,79a276e7,69a72d797,76g797,769a76b79a7,676d767a6,a76h7,d76d76,6b76a76a767,f76c7,76d7a6b7 O1 12 11 97c67d1,92a767e1,97a27d971,67g971,697a67b97a1,767d676a1,a67h1,d67d61,7b67a67a671,f67c1,67d6a7b1 I2 25 13 269...	00555885881 52585552221	{"train":[{"input":[[5,5,5,5,5,5,5,5,5,5,5],[5,5,5,5,5,5,5,5,5,5,5],[5,5,5,5,5,5,5,5,5,5,5],[5,5,5,5,5,5,5,5,5,5,2],[5,5,5,5,5,5,5,5,2,2,5],[5,5,9,9,5,5,5,2,5,7,5],[5,5,5,5,9,9,9,5,7,5,5],[5,5,5,5,5,5,5,9,7,5,5]],"output":[[1,1,1,1,1,1,1,1,1,1,1],[1,1,1,1,1,1,1,1,1,1,1],[1,1,1,1,1,1,1,1,1,1,1],[2,2,2,2,2,2,2,2,2,2,1],[...	1	dataset=solve_probecolor group=probecolor_right predict=rawpixels earlier_prediction=none image_width=large image_height=medium task_pixels=c
Simon-Solve-V1 predict pixels for O3T	I0 10 15 d0d5,,,,,,,,,,d5d0,,,, O0 4 9 50a5,,0b5,50a5,,0b5,b50,,a505 I1 10 15 d5d0,,,,,,,,,,d0d5,,,, O1 4 9 a505,,b50,a505,,b50,0b5,,50a5 I2 15 15 d5d0d5,,,,,i5d0,,,,,d0d5d0,,,, O2 9 9 b5050b5,b5a0c5,c50c5,e5050,e5a05,f505,050b5050,a0c5a05,50d505 I3T 10 15 d0d5,,,,,d5d0,,,,,d0d5,,,, O3T None	5055 0555 5055 5550 5505 5550 5055 0555 5055	{"train":[{"input":[[0,0,0,0,0,5,5,5,5,5],[0,0,0,0,0,5,5,5,5,5],[0,0,0,0,0,5,5,5,5,5],[0,0,0,0,0,5,5,5,5,5],[0,0,0,0,0,5,5,5,5,5],[0,0,0,0,0,5,5,5,5,5],[0,0,0,0,0,5,5,5,5,5],[0,0,0,0,0,5,5,5,5,5],[0,0,0,0,0,5,5,5,5,5],[0,0,0,0,0,5,5,5,5,5],[5,5,5,5,5,0,0,0,0,0],[5,5,5,5,5,0,0,0,0,0],[5,5,5,5,5,0,0,0,0,0],[5,5,5,5,5,0,0...	0	dataset=solve_fractal group=pattern_to_fractal predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b
simon-solve-v1, 'O5T', predict the raw pixels	I0 16 5 c5a2a5a25a2b5,b5e25a25a25,a52525a2a5252b5,a5h32c5,a52a525c2d5 O0 12 5 a2a5a25a2b5,e25a25a2,2525a2a52525,5h325,a52a525c25 I1 23 9 g5a80b8b0a80808,f5808a080808b0705,e5a0a8d0c780a5,d58a0b8b7080808b5,c5080a8c0808b0c5,b580a80a8a6a08080d5,a580a808080a68b0e5,5a8a0b8b08a0a8f5,8b0d808a0a8g5 O1 15 9 a80b8b0a80808,808a080...	7 4 4 4	{"train":[{"input":[[5,5,5,5,2,2,5,5,2,2,5,2,2,5,5,5],[5,5,5,2,2,2,2,2,2,5,2,2,5,2,2,5],[5,5,2,5,2,5,2,2,5,5,2,5,2,5,5,5],[5,5,3,3,3,3,3,3,3,3,3,2,5,5,5,5],[5,5,2,5,5,2,5,2,2,2,2,5,5,5,5,5]],"output":[[2,2,5,5,2,2,5,2,2,5,5,5],[2,2,2,2,2,2,5,2,2,5,2,2],[2,5,2,5,2,2,5,5,2,5,2,5],[5,3,3,3,3,3,3,3,3,3,2,5],[5,5,2,5,5,2,5,...	1	dataset=solve_skew group=unskew_left predict=rawpixels earlier_prediction=none image_width=large image_height=small task_pixels=c
Simon-Solve-V1 predict pixels for 'O3T'	I0 18 4 b8g0b4c0,a8b90c4f08,802492b7f0a8,b0a7e3c0b8 O0 15 4 g0b4c0,b90c4f0,02492b7f0,b0a7e3c0 I1 23 13 k8930a9898398,j839b8098a908,i8389838a98a3a8,h8903a898393c8,h898a9a80f8,f8c0980a39e8,e80a98a989a83e8,d8089a8938080f8,c838b90c83g8,e8a9b8303h8,a83b89809080i8,b8090898089j8,8989b839m8 O1 11 13 930a9898398,39b8098a90,3898...	799997 173906 179993 911699 619799 616796 117999	{"train":[{"input":[[8,8,8,0,0,0,0,0,0,0,0,4,4,4,0,0,0,0],[8,8,9,9,9,0,4,4,4,4,0,0,0,0,0,0,0,8],[8,0,2,4,9,2,7,7,7,0,0,0,0,0,0,0,8,8],[0,0,0,7,7,3,3,3,3,3,3,0,0,0,0,8,8,8]],"output":[[0,0,0,0,0,0,0,0,4,4,4,0,0,0,0],[9,9,9,0,4,4,4,4,0,0,0,0,0,0,0],[0,2,4,9,2,7,7,7,0,0,0,0,0,0,0],[0,0,0,7,7,3,3,3,3,3,3,0,0,0,0]]},{"input...	1	dataset=solve_skew group=unskew_left predict=rawpixels earlier_prediction=none image_width=large image_height=medium task_pixels=c
simon-solve-v1 'O4T' predict the pixels	I0 1 24 9,4,,,7,9,4,7,,4,7,4,7,9,7,9,4,,,,7,,4, O0 1 24 6,7,,,6,,,7,,6,,,,,,,7,,,,,,, I1 20 11 64q6,b49o6,a6a4a9m6,c6a4a9k6,e6a492i6,g6b92g6,j6a92e6,l69a2c6,m6a9a2a6,o6a9a2,q696 O1 20 11 6r7,7,,,h76i7,j76g7,7,,,,r76 I2 10 7 c820c8,8382a8a4a8,a52a4a84a8,52a584a848,5b8b6a83,4c8a9b6,d838a98 O2 10 7 d76c7,76g7,7,,h76,6h7,d...	7777777777777777 7777777777767777 7777777777777777 7777777777777777 7777777777777777 7777777777777777 7777777777777777	{"train":[{"input":[[9],[4],[4],[4],[7],[9],[4],[7],[7],[4],[7],[4],[7],[9],[7],[9],[4],[4],[4],[4],[7],[7],[4],[4]],"output":[[6],[7],[7],[7],[6],[6],[6],[7],[7],[6],[6],[6],[6],[6],[6],[6],[7],[7],[7],[7],[7],[7],[7],[7]]},{"input":[[6,4,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6],[4,4,4,9,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6],[...	0	dataset=solve_mass group=mass1_all8 predict=rawpixels earlier_prediction=none image_width=medium image_height=large task_pixels=c
SIMONSOLVEVERSION1 predict raw pixels for 'O5T'	I0 22 9 a51d51d51f5,c51c51d5a1d5,5a15151h51b515,f51a5a1a5a1e5,1h51j5,d51a5c151g5,d51f51a5151a51,b51j51b51a5,b5151j515a15 O0 22 9 0,a0105b015c01a5d0,0a505050a1c0a15b050,0a101015a1a5a0a51b010,5a1010c151a0b1b010,b1015a1c505b1b010,b1015e105a1505015,b15g10a151015a1,b1515e10c151a51 I1 5 16 28181,2a8a1,218a1,21b8,2c1,2a8a1,21...	0000000 1409444 1236992 1342262 4344612	{"train":[{"input":[[5,5,1,5,5,5,5,5,1,5,5,5,5,5,1,5,5,5,5,5,5,5],[5,5,5,5,1,5,5,5,5,1,5,5,5,5,5,1,1,5,5,5,5,5],[5,1,1,5,1,5,1,5,5,5,5,5,5,5,5,5,1,5,5,5,1,5],[5,5,5,5,5,5,5,1,5,5,1,1,5,5,1,1,5,5,5,5,5,5],[1,5,5,5,5,5,5,5,5,5,1,5,5,5,5,5,5,5,5,5,5,5],[5,5,5,5,5,1,5,5,1,1,1,1,5,1,5,5,5,5,5,5,5,5],[5,5,5,5,5,1,5,5,5,5,5,5...	1	dataset=solve_probecolor group=probecolor_top predict=rawpixels earlier_prediction=none image_width=large image_height=medium task_pixels=c
simonsolvev1, 'O3T', predict the raw pixels	I0 13 4 15a1b71a2a12,141a9a1c712,a6912c121a7,62c1b62b1 O0 13 16 k42,j412,i4a17,h42a71,g427a14,f41721a4,e4a712b4,d47a16c4,c47a16d4,b41916e4,a41921f4,45b1g4,1491h4,161i4,62j4,6k4 I1 14 5 5b28525c252,2525a2a5825b2,g254a252,28f2a34a2,5a2f72373 O1 14 18 l42,k452,j4b2,i4a252,h425a23,g4b2474,f4584a3a4,e42a532b4,d4a5a27c4,c48b...	444444443 444444433 444444333 444443333 444433333 444333333 443333333 403333333 300333333 330033333 333033333 333333333 333333333 333333334 333333344 333333444 333334444 333344444 333444444 334444444 344444444	{"train":[{"input":[[1,5,1,1,7,7,7,1,2,2,1,1,2],[1,4,1,9,9,1,1,7,7,7,7,1,2],[6,6,9,1,2,1,1,1,1,2,1,7,7],[6,2,1,1,1,1,6,6,6,2,1,1,1]],"output":[[4,4,4,4,4,4,4,4,4,4,4,4,2],[4,4,4,4,4,4,4,4,4,4,4,1,2],[4,4,4,4,4,4,4,4,4,4,1,1,7],[4,4,4,4,4,4,4,4,4,2,7,7,1],[4,4,4,4,4,4,4,4,2,7,1,1,4],[4,4,4,4,4,4,4,1,7,2,1,4,4],[4,4,4,4,...	1	dataset=solve_skew group=skew_up predict=rawpixels earlier_prediction=none image_width=medium image_height=large task_pixels=c
Simon-Solve-V1 predict raw pixels for 'O3T'	I0 10 19 3410a43043,4013a04a04,b41341013,a43a430101,34034b340,104a34a1a3,b34a01013,14a0314a01,b0a414b3,a034013a41,3404a140a4,04a3104b0,43d03a4,41b343414,1a40a4a0a4,c4030b4,314a0a3134,404a30b41,0314030434 O0 10 19 8,83418483a8,a8041a04a0,a840a14040,a8a4041014,838040a304,8108a34130,8b34a0a13,814a0314a0,a8a0a4a1a3,8083401...	88888888 81898889 88099898 89822092 88082209 88508299 88800891 88880090 89890059 88282909 82998109 89999819	{"train":[{"input":[[3,4,1,0,4,4,3,0,4,3],[4,0,1,3,0,0,4,0,0,4],[4,4,4,1,3,4,1,0,1,3],[4,4,3,4,4,3,0,1,0,1],[3,4,0,3,4,3,3,3,4,0],[1,0,4,3,3,4,1,1,3,3],[3,3,3,4,0,0,1,0,1,3],[1,4,0,0,3,1,4,0,0,1],[0,0,0,4,4,1,4,3,3,3],[0,0,3,4,0,1,3,4,4,1],[3,4,0,4,1,1,4,0,4,4],[0,4,3,3,1,0,4,0,0,0],[4,3,0,0,0,0,0,3,4,4],[4,1,3,3,3,4,3...	0	dataset=solve_probecolor group=probecolor_topleft predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
SIMONSOLVEVERSION1, O3T, predict raw pixels	I0 12 18 8,,,,,g87b8,8,,,,,,,,,,82i8,8 O0 12 18 6,,,e6d76,,e6a76a76,e6d76,,6,,,,,,c7g6,,76a7g6,c7g6 I1 9 9 a84e8,5g8,8,,,,,, O1 9 9 d7c6,,,b7e6,6,,,, I2T 5 9 a85a8,8,,,,,,, O2T None I3T 19 6 k85c818,8,,d81b85h8,8, O3T None	6666666666776777767 6667777777777777777 6667777777777777777 6667767776776666666 6667777777776666666 6667777777776666666	{"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],[8,8,8,8,8,8,8,8,7,8,8,8],[8,8,8,8,8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8...	1	dataset=solve_ray group=emit_rays_from_lonely_pixels predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b
SIMON-SOLVE-V1, O2T, predict raw pixels	I0 5 9 b4a3,4a3a4,437a4,,34874,048a4,408a4,a48a4,4 O0 5 9 5,,,,a58a5,,,,5 I1 12 23 2a92g9,a29a292a94a9,292a92969a29,2a9a29691b9,92c9691292,a9a2969291a9,a2b96a2a9a2,a2926a9a2b9,9a2969a2a929,b969a2a92a9,a926294a2924,a202b932b9,a9092932c9,90a913429292,9b1a92b9a2,a92a9b2a929,92b9292a929,b92b9292a9,9f24929,92d9242a9,a292a9b...	555 555 555 555 555 555 555 555 555 558 558 558 558 555 555 555	{"train":[{"input":[[4,4,4,3,3],[4,3,3,4,4],[4,3,7,4,4],[4,3,7,4,4],[3,4,8,7,4],[0,4,8,4,4],[4,0,8,4,4],[4,4,8,4,4],[4,4,4,4,4]],"output":[[5,5,5,5,5],[5,5,5,5,5],[5,5,5,5,5],[5,5,5,5,5],[5,5,8,5,5],[5,5,8,5,5],[5,5,8,5,5],[5,5,8,5,5],[5,5,5,5,5]]},{"input":[[2,9,9,2,9,9,9,9,9,9,9,9],[2,2,9,2,2,9,2,9,9,4,9,9],[2,9,2,9,...	0	dataset=solve_mass group=mass4_all8 predict=rawpixels earlier_prediction=none image_width=medium image_height=large task_pixels=b
SIMONSOLVEVERSION1 predict raw pixels for O4T	I0 4 6 6,,2,,a6a2, O0 4 9 2,,,,6,2626,2,a2a6,b26 I1 4 6 a2a6,,,,a6a2, O1 4 9 6b2,,26a2,6b2,,26a2,a262,,b26 I2 4 6 a6a2,,6,,2, O2 4 9 b26,2,a2a6,2,,,2626,2,6 I3 6 4 c2a6,,a6a2a6, O3 9 4 a62a6c2,26a26c2,b2a6c2,c26c2 I4T 6 6 a6c2,,a6a2a6,,, O4T None I5T 6 4 c6a2,,c2a6, O5T None	222266266 222262262 222262262 222266222 222262222 222262222 222266222 222262222 222262222	{"train":[{"input":[[6,6,6,6],[6,6,6,6],[2,2,2,2],[2,2,2,2],[6,6,2,2],[6,6,2,2]],"output":[[2,2,2,2],[2,2,2,2],[2,2,2,2],[2,2,2,2],[6,6,6,6],[2,6,2,6],[2,2,2,2],[2,2,6,6],[2,2,2,6]]},{"input":[[2,2,6,6],[2,2,6,6],[2,2,6,6],[2,2,6,6],[6,6,2,2],[6,6,2,2]],"output":[[6,2,2,2],[6,2,2,2],[2,6,2,2],[6,2,2,2],[6,2,2,2],[2,6,2...	0	dataset=solve_fractal group=pattern_to_fractal predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a
Simon-Solve-Version1 predict raw pixels for 'O3T'	I0 20 7 6,,n6d3,f6g3d6,a6d3l6,6, O0 20 7 a7q3,,a7l3d6,a7d3g6d7,a7d6l7,7, I1 8 15 0,,,f06,e060,d0160,c016a0,,b016b0,a01a6b0,01262b0,b0694a0,a0a6a040,0e54,a0a8c0 O1 8 15 7d1a6,,,7d160,7d104,7c1604,7b160a4,,7a162b4,71252b4,7a059b4,7565a0a4,7e54,70a8c0,7 I2 11 13 b2a5a84a24,8284582b42,858a2425454,82858b2a84,42845254824,2a5...	46 66 61 11 11 41 41 41 11 77	{"train":[{"input":[[6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6],[6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6],[6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,3,3,3,3,3],[6,6,6,6,6,6,6,3,3,3,3,3,3,3,3,6,6,6,6,6],[6,6,3,3,3,3,3,6,6,6,6,6,6,6,6,6,6,6,6,6],[6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6],[6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6]],"outp...	0	dataset=solve_probecolor group=probecolor_bottom predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
SIMON-SOLVE-V1 predict pixels for 'O4T'	I0 27 12 e4b9e4k9,,,e9b4e9b4h9,,,q9e4b9,,,w9b4,, O0 9 6 e4b9,,,e9b4,, I1 27 27 b4w9,,,b9b4t9,,,b4b9b4q9,,,h9b4n9,,,k9b4k9,,,h9b4b9b4h9,,,b4n9b4e9,,,b9b4n9b4b9,,,b4b9b4h9b4b9b4,, O1 9 9 b4e9,,,b9b4b9,,,b4b9b4,, I2 12 12 b4h9,,,b9b4e9,,,e9b4b9,,,h9b4,, O2 6 6 b4b9,,,b9b4,, I3T 27 12 e4b9e4k9,,,b9b4e9b4k9,,,h9e4k9,,,k9b4k...	999444999 999444999 999444999 444444999 444444999 444444999	{"train":[{"input":[[4,4,4,4,4,4,9,9,9,4,4,4,4,4,4,9,9,9,9,9,9,9,9,9,9,9,9],[4,4,4,4,4,4,9,9,9,4,4,4,4,4,4,9,9,9,9,9,9,9,9,9,9,9,9],[4,4,4,4,4,4,9,9,9,4,4,4,4,4,4,9,9,9,9,9,9,9,9,9,9,9,9],[9,9,9,9,9,9,4,4,4,9,9,9,9,9,9,4,4,4,9,9,9,9,9,9,9,9,9],[9,9,9,9,9,9,4,4,4,9,9,9,9,9,9,4,4,4,9,9,9,9,9,9,9,9,9],[9,9,9,9,9,9,4,4,4,9...	1	dataset=solve_fractal group=fractal_to_pattern predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=d
SIMON-SOLVE-VERSION1 predict pixels for 'O3T'	I0 4 13 a343,3,6386,36a8,3838,3b8,4386,4384,4383,4686,a8a3,a838,68a3 O0 4 13 8,,,,,,1b8,,,,8,, I1 17 7 8a5b852846a8c5,8c5c4a6858a56,a5a4e056826a5,8685252626f0,56c50e78658,8a5c72585868562,c58b5a8a5682a5 O1 17 7 i81e8,h8a1e8,j81d8,8,n818,g81d81a8,d8b1f8a1 I2T 20 9 5a6a56a5b65c6a3a6,b65b636a56d3256,5656b53a6a3a5653256,b65...	8888881188888888888 8888118888888888888 8818118888188888888 8811888888811888888 8181888888818888888 8188888188888888888 8888881888888888888 8888818188888888888 8888888888888888888 8888888888888888888 8888888888888888888 8888888888888888888 8888888888888888888 8888888888888888888 8888888888888888888 8888888888888888888 ...	{"train":[{"input":[[3,3,4,3],[3,3,3,3],[6,3,8,6],[3,6,8,8],[3,8,3,8],[3,8,8,8],[4,3,8,6],[4,3,8,4],[4,3,8,3],[4,6,8,6],[8,8,3,3],[8,8,3,8],[6,8,3,3]],"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],[1,8,8,8],[1,8,8,8],[1,8,8,8],[1,8,8,8],[8,8,8,8],[8,8,8,8],[8,8,8,8]]},{"input":[[8,5,5,8,8,8,5,2,...	1	dataset=solve_mass group=mass4_all8 predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
Simon-Solve-Version1 predict pixels for 'O2T'	I0 6 13 3d5,23c5,b3b5,a2a3a5,d35,c3a9,3c97,49c3,5d3,a532a3,b5b3,c5a3,d53 O0 6 8 d39,2b397,32a393,2a39a3,a39b3,39c3,3932a3,4d3 I1 12 15 9j5,41i5,194h5,1a41g5,54a14f5,a5a194e5,b51b4d5,c519a4c5,d59b4b5,e5b19a5,f541945,g54919,h5914,i549,j54 O1 12 4 9141d4949,49419b41914,14a1494a1919,14b191a49a4 I2T 11 21 9i5,a9h5,b9g5,c9f5...	99999999999 99999999999 99999999999 99999999999 99999999990 99999999909 99999999099 99999990099 99999900999 99999009999 99990099999	{"train":[{"input":[[3,5,5,5,5,5],[2,3,5,5,5,5],[3,3,3,5,5,5],[2,2,3,3,5,5],[3,3,3,3,3,5],[3,3,3,3,9,9],[3,9,9,9,9,7],[4,9,3,3,3,3],[5,3,3,3,3,3],[5,5,3,2,3,3],[5,5,5,3,3,3],[5,5,5,5,3,3],[5,5,5,5,5,3]],"output":[[3,3,3,3,3,9],[2,3,3,3,9,7],[3,2,3,3,9,3],[2,3,3,9,3,3],[3,3,9,3,3,3],[3,9,3,3,3,3],[3,9,3,2,3,3],[4,3,3,3,...	0	dataset=solve_skew group=unskew_down predict=rawpixels earlier_prediction=none image_width=medium image_height=large task_pixels=b
Simon-Solve-Version1 predict pixels for 'O4T'	I0 11 22 8i4,845g4,b45f4,,c45e4,4,,d45d4,,,e45c4,,f45b4,4,,,,,,,, O0 11 22 2i8,284g5,b24f5,,c24e5,2,,d24d5,,,e24c5,,f24b5,2,,,,,,,, I1 19 25 549b4a948584a54b5,a549854a9a4b594849,94d59a4b58458a4,549b45a45a4a545454,b59594a54b5985454,458495b4854a95a454,45a4a54a94b5b9b5,48b5954a5a89a59b5,4b5a4b8a5a459a585,5a4b584b58b5a495,...	2280538508 2030833380 2855858855 2833380680 2008506650 2800866800 2209085558 2393333803 2998000085 2538050000 2000000000	{"train":[{"input":[[8,4,4,4,4,4,4,4,4,4,4],[8,4,5,4,4,4,4,4,4,4,4],[4,4,4,5,4,4,4,4,4,4,4],[4,4,4,5,4,4,4,4,4,4,4],[4,4,4,4,5,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,5,4,4,4,4,4],[4,4,4,4,4,5,4,4,4,4,4],[4,4,4,4,4,5,4,4,4,4,4],[4,4,4,4,4,4,5,4,4,4,4],[4,4,4,4,4,4,5,4,4,4,4],[4,4,4,4,4,4...	1	dataset=solve_probecolor group=probecolor_left predict=rawpixels earlier_prediction=none image_width=medium image_height=large task_pixels=d
Simon-Solve-Version1, 'O2T', predict the pixels	I0 9 16 4,,,,,,,,,d40b4,4,,,,b47d4,4 O0 9 16 3,,,,,,,b3d13,b31b313,,,b3d13,3d1b3,31b31b3,, I1 7 17 4,,,,,,,,,,,d404,4,,,, O1 7 17 3,,,,,,,,,b3c1,b31b3,,,b3c1,3,, I2T 11 16 4,h424,4,,,,,,,,d40d4,4,,,, O2T None	33333331333 33333331333 33333331333 33333331111 33333333333 33333333333 33333333333 33333333333 33311111333 33313331333 33313331333 33313331333 33311111333 33333333333 33333333333 33333333333	{"train":[{"input":[[4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4],[4,4,4,4,4,0,4,4,4],[4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4],[4,4,4,7,4,4,4,4,4],...	0	dataset=solve_ray group=emit_rays_from_lonely_pixels predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b
simon-solve-version1, 'O3T', predict the raw pixels	I0 20 25 76a76769b79679d6,a7a967a9a7a679a767a9,769b74769a67a696797,a97696a496a7a69a76a9,7b69494a969a67967a9,6979746947a67b9a796,a69674a964969a679567,6a794a7a6747979725a7,69694a9769479a627596,a67649c67479269579,96947976979742a67569,a764a767b6724676597,7a947a9a626274969596,9649a6979a2b64a65a7,a94b9b6a2b6745697,a94a676726...	8215 8115 8887 8815 8811 8511 8817 8879 8555 8171 8788 8888	{"train":[{"input":[[7,6,7,7,6,7,6,9,7,7,7,9,6,7,9,6,6,6,6,6],[7,7,9,9,6,7,9,9,7,7,6,6,7,9,7,7,6,7,9,9],[7,6,9,7,7,7,4,7,6,9,6,6,7,6,6,9,6,7,9,7],[9,9,7,6,9,6,4,4,9,6,7,7,6,6,9,7,7,6,9,9],[7,6,6,6,9,4,9,4,9,9,6,9,6,6,7,9,6,7,9,9],[6,9,7,9,7,4,6,9,4,7,6,6,7,9,9,9,7,7,9,6],[6,6,9,6,7,4,9,9,6,4,9,6,9,6,6,7,9,5,6,7],[6,7,7...	0	dataset=solve_probecolor group=probecolor_bottomleft predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=d
simonsolveversion1, 'O4T', predict the raw pixels	I0 14 11 9,,,,e96b90b9,c92h9,9,,,, O0 14 11 5,,,d5b75b7a5,b5b7575757a5,b575b75b7a5,b5b7g5,5,,, I1 20 19 9,,d91m9,9,,,,g93j9,9,,,,h98i9,9,,,m96d9,9, O1 20 19 5,c5b7l5,c5757l5,c5b7l5,5,,f5b7i5,f5757i5,f5b7i5,5,,g5b7h5,g5757h5,g5b7h5,5,l5b7c5,l5757c5,l5b7c5,5 I2 9 15 9,,,c93c9,9,,b94d9,9,,,,,,, O2 9 15 5,,b5b7b5,b5757b5,b...	555555555555 555555555555 555555555555 555577755555 555575755555 555577755555 555555555555 555555555555 555555555555 777555555555 757555555555 777555555555 555555555555 555555555555 555555555555 555555555555 555555555555	{"train":[{"input":[[9,9,9,9,9,9,9,9,9,9,9,9,9,9],[9,9,9,9,9,9,9,9,9,9,9,9,9,9],[9,9,9,9,9,9,9,9,9,9,9,9,9,9],[9,9,9,9,9,9,9,9,9,9,9,9,9,9],[9,9,9,9,9,9,6,9,9,9,0,9,9,9],[9,9,9,9,2,9,9,9,9,9,9,9,9,9],[9,9,9,9,9,9,9,9,9,9,9,9,9,9],[9,9,9,9,9,9,9,9,9,9,9,9,9,9],[9,9,9,9,9,9,9,9,9,9,9,9,9,9],[9,9,9,9,9,9,9,9,9,9,9,9,9,9],...	0	dataset=solve_ray group=emit_rays_from_lonely_pixels predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=d
simonsolveversion1 predict raw pixels for 'O4T'	I0 23 20 a37303b0a7a0e37013,030a303a0a7370730301a30,0301a373a1a0a3131a3a7a3,310b3a07a1030a37b3130,a3730303a0730707c3737,a0b3730a3a1a313a0730a3,30303731737a017b3a1b0,30a1b31b301010a30c3,37a303a030730b3a717a30,30303030a710b3030a3131,0a3b0a1301737343170130,71a070a3017a3a4707a30a1,a0a30a3031a3410a3a07317,303730a731040a730b...	333223	{"train":[{"input":[[3,3,7,3,0,3,0,0,0,7,7,0,0,3,3,3,3,3,3,7,0,1,3],[0,3,0,3,3,0,3,0,0,7,7,3,7,0,7,3,0,3,0,1,3,3,0],[0,3,0,1,3,3,7,3,1,1,0,0,3,3,1,3,1,3,3,7,7,3,3],[3,1,0,3,3,3,0,0,7,1,1,0,3,0,3,3,7,3,3,3,1,3,0],[3,3,7,3,0,3,0,3,0,0,7,3,0,7,0,7,3,3,3,3,7,3,7],[0,0,3,3,3,7,3,0,3,3,1,1,3,3,1,3,0,0,7,3,0,3,3],[3,0,3,0,3,7...	0	dataset=solve_mass group=mass2_all8 predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=d
SIMON-SOLVE-V1, O3T, predict pixels	I0 15 2 9b1916a1696191,91a96e16b9 O0 15 2 3i03b0, I1 14 7 2a3b6a3e6,3a2b6b36a3a6,b623b63a6b3,c6a2e6a3,d63a263b63,6a36c9263836,3b6a363b98a6 O1 14 7 0,,,,h03c0,i0a3a0,c0a3d03a0 I2T 14 19 c08c0a8080,858a085b08508,80b8f050,a8c08d0a8,808a0a8e08,b0a8b0508b0,c08050808a08,c0808085b08,8580a5e050,a08d08085a8,e0808c05,05e0a8c0,b0...	3300 0000 0000 0000 0000 0000 0000 0000 0000 0000 0003 0003 0030 0033 0030 0000 0000 0303 0303	{"train":[{"input":[[9,1,1,1,9,1,6,1,1,6,9,6,1,9,1],[9,1,9,9,6,1,1,1,1,1,1,6,9,9,9]],"output":[[3,0,0,0,0,0,0,0,0,0,0,3,0,0,0],[3,0,0,0,0,0,0,0,0,0,0,3,0,0,0]]},{"input":[[2,3,3,6,6,6,3,3,6,6,6,6,6,6],[3,2,2,6,6,6,3,3,3,6,3,3,6,6],[6,6,6,2,3,6,6,6,3,6,6,3,3,3],[6,6,6,6,2,2,6,6,6,6,6,6,3,3],[6,6,6,6,6,3,2,2,6,3,6,6,6,3]...	1	dataset=solve_mass group=mass2_all8 predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b
SIMONSOLVEV1 predict pixels for 'O3T'	I0 10 6 8,d852828,a828a5b38,b2a43a538,8a42a7a8a5,a8572a8a28 O0 10 15 h98,g9a8,f9828,e9a838,d982a35,c9853a58,b9a8a5829,a9a85382a9,9b8478b9,a82478c9,a8b2d9,8247e9,245f9,a8g9,8h9 I1 14 6 b2a9d26b2,c24b926a292,e24a69a292,e2642b4a2,d2d429a2,b24e241a2 O1 14 19 l92,k9a2,j9292,i96292,h9d2,g92624a2,f9a294929,e9296421a9,d92962a4...	997 967 697 597 572 975 719 999	{"train":[{"input":[[8,8,8,8,8,8,8,8,8,8],[8,8,8,8,8,5,2,8,2,8],[8,8,2,8,5,5,3,3,3,8],[2,2,2,4,4,3,5,5,3,8],[8,4,4,2,7,7,8,8,5,5],[8,8,5,7,2,8,8,2,2,8]],"output":[[9,9,9,9,9,9,9,9,9,8],[9,9,9,9,9,9,9,9,8,8],[9,9,9,9,9,9,9,8,2,8],[9,9,9,9,9,9,8,8,3,8],[9,9,9,9,9,8,2,3,3,5],[9,9,9,9,8,5,3,5,5,8],[9,9,9,8,8,5,5,8,2,9],[9,...	0	dataset=solve_skew group=skew_up predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b
SIMON-SOLVE-V1, O5T, predict raw pixels	I0 20 17 3,,p36a3,d36m3,3,,,,,d37m3,3,,,,,,n30c3 O0 20 17 0,,9,,0,,,,,9,0,,,,,,9 I1 19 13 3,,,39p3,3,,,,,0q3,m31c3,n32b3,3 O1 19 13 0,,,9,0,,,,,9,,,0 I2 14 8 3,1l3,a30j3,h32c3,3,,, O2 14 8 0,9,,,0,,, I3 14 20 3,,,,,i35b3,3,,,,a35j3,3,,,,,f31e3,3,, O3 14 20 0,,,,,9,0,,,,9,0,,,,,9,0,, I4T 8 11 3,c37b3,3,,,,,,,, O4T None ...	99999999 00000000 00000000 00000000 00000000 00000000 00000000 00000000 00000000 00000000 00000000 00000000 00000000 00000000 00000000 00000000 00000000	{"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],[3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,6,3,3],[3,3,3,3,3,6,3,3,3,3,3,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3],[3,3,3...	1	dataset=solve_ray group=emit_rays_from_lonely_pixels predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=d
Simon-Solve-V1, 'O2T', predict the pixels	I0 9 12 8,,,,,,,,,,,c81a808 O0 9 12 c30a303,,,,0b30a303,30a30a303,a3030a303,0a3a0a303,30a30a303,a303a0303,b3a03a03,0 I1 13 18 8,,g82c8,h82b8,8,,,,,,,,h85b8,8,,,, O1 13 18 e303a0b3,f3b0b3,0,,30e3b0a3,a30d3a0303,b30c3a0a30,c30b3a0b3,d30a3a0b3,e303a0b3,f3b0b3,g3a0b3,0,g3b0a3,g3a0303,g3a0a30,g3a0b3, I2T 7 18 8,,,,,,,,,b87b...	3330333 3330333 3330333 3330333 3330333 3330333 0330333 3030333 3300333 0000000 3330033 3330303 3330330 3330333 3330333 3330333 3330333 3330333	{"train":[{"input":[[8,8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8,8],[8,8,8,8,1,8,8,0,8]],"output":[[3,3,3,3,0,3,3,0,3],[3,3,3,3,0,3,3,0,3],[3,3,3,3,...	0	dataset=solve_ray group=emit_rays_from_lonely_pixels predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b
Simon-Solve-V1, O4T, predict raw pixels	I0 13 6 7,,,d728e7,k76,7 O0 13 6 5,,c5c7d5,c5c7b5a7,,j5a7 I1 12 18 7,,,,,,,,,,,,,,,,b75g7,g71b7 O1 12 18 5,,,,,,,,,,,,,,,a5b7f5,a5b7a5b7a5, I2 12 8 7,,,,,,,a70c73c7 O2 12 8 5,,,,,,5b7a5b7b5, I3 19 16 7,g78i7,7,,,,,,,,,c76m7,d78l7,7,,c76m7 O3 19 16 f5b7h5,,,5,,,,,,,b5b7l5,b5c7k5,,c5b7k5,b5b7l5, I4T 20 8 7,,,r73,7,,k78f7...	55555555555555555555 55555555555555555555 55555555555555555577 55555555555555555577 55555555555555555577 55555555555777555555 55777555555777555555 55777555555777555555	{"train":[{"input":[[7,7,7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,2,8,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7,7,7,7,6],[7,7,7,7,7,7,7,7,7,7,7,7,7]],"output":[[5,5,5,5,5,5,5,5,5,5,5,5,5],[5,5,5,5,5,5,5,5,5,5,5,5,5],[5,5,5,5,7,7,7,7,5,5,5,5,5],[5,5,5,5,7,7,7,7,5,5,5,7,7],[5,5,5,5,...	0	dataset=solve_ray group=emit_rays_from_lonely_pixels predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
Simon-Solve-V1 predict raw pixels for O3T	I0 15 6 i1d8,8b16b14a1c8,a8b16a14b1b8,b8b1b4c1a8,c8b14e18,d8a14f1 O0 10 6 1,b16b14a1,b16a14b1,b1b4c1,b14e1,a14f1 I1 18 8 b86c89h8,8b6869j8,a86a896d89d8,c8686j8,d898968a6a89b8,f89a896869b8,f89b86a9c8,g896a89a86a9 O1 11 8 b86c89a8,b6869d8,6a896d89,8686f8,898968a6a89,a89a8968698,89b86a9b8,896a89a86a9 I2 16 2 c2j98,8l262 O...	0000000000000000 2000000000000000 0200000000000000 0023333300000000 0000000033333330	{"train":[{"input":[[1,1,1,1,1,1,1,1,1,1,8,8,8,8,8],[8,1,1,1,6,1,1,1,4,1,1,8,8,8,8],[8,8,1,1,1,6,1,1,4,1,1,1,8,8,8],[8,8,8,1,1,1,4,4,4,1,1,1,1,8,8],[8,8,8,8,1,1,1,4,1,1,1,1,1,1,8],[8,8,8,8,8,1,1,4,1,1,1,1,1,1,1]],"output":[[1,1,1,1,1,1,1,1,1,1],[1,1,1,6,1,1,1,4,1,1],[1,1,1,6,1,1,4,1,1,1],[1,1,1,4,4,4,1,1,1,1],[1,1,1,4,...	0	dataset=solve_skew group=unskew_right predict=rawpixels earlier_prediction=none image_width=medium image_height=small task_pixels=b
SIMON-SOLVE-VERSION1 predict pixels for O4T	I0 15 7 4m3,3,m32,3,c35i3,3, O0 15 7 5,5b35a35e35,5,5b3a5f3a5,5,5a3a5e35a35,53535d35b35 I1 5 5 3,,a36a3,3, O1 5 5 a3535,a3a53,5,3a5a3,535a3 I2 6 13 b34a3,3,,,,,,,,,,, O2 6 13 5,a3a5a3,3535a3,5a35a3,b35a3,,,,,,,, I3 12 9 3,,,c35f3,3,,e34d3,3, O3 12 9 c353a5c3,c3535c35,c3b5b353,5,b3a53535b3,a35353a5c3,5,5b3b5d3,c3535d3 I...	35533333 55555555 55333333 35333333 35333333 35333333 35333333 35333333 35333333 35333333 35333333 35333333	{"train":[{"input":[[4,3,3,3,3,3,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3,3,3,3,3,3,3,2],[3,3,3,3,3,3,3,3,3,3,3,3,3,3,3],[3,3,3,3,5,3,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3,3,3,3,3,3,3,3]],"output":[[5,5,5,5,5,5,5,5,5,5,5,5,5,5,5],[5,3,3,3,5,3,3,5,3,3,3,3,3,3,5],[...	0	dataset=solve_ray group=emit_rays_from_lonely_pixels predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b
simon-solve-version1 'O2T' predict the pixels	I0 12 25 a42a93a92a92,42b4932c9,49329a493293,4a92a9a2a923,a492a92a93a9,a492b92c9,439292a932a9,942d92a92,942939b3929,942a923a92a9,342a93c929,9423c93b9,14a2f93,91a9292d9,b3c932929,c93a93b92,93b92a3a9a3,d9a3b9a3,a2c929a239,2h929,b92e929,293e9392,29293a9a3a92,92a93a93c9,b9239392929 O0 12 25 8,,,e8a7c8,e87d8,f87c8,8,j87,i87...	888888888888 888888888888 888888888888 888888888888 777788888888	{"train":[{"input":[[4,4,2,9,9,3,9,9,2,9,9,2],[4,2,4,4,4,9,3,2,9,9,9,9],[4,9,3,2,9,4,4,9,3,2,9,3],[4,9,9,2,9,9,2,2,9,9,2,3],[4,4,9,2,9,9,2,9,9,3,9,9],[4,4,9,2,9,9,9,2,9,9,9,9],[4,3,9,2,9,2,9,9,3,2,9,9],[9,4,2,9,9,9,9,9,2,9,9,2],[9,4,2,9,3,9,3,3,3,9,2,9],[9,4,2,9,9,2,3,9,9,2,9,9],[3,4,2,9,9,3,9,9,9,9,2,9],[9,4,2,3,9,9,9...	0	dataset=solve_mass group=mass4_all8 predict=rawpixels earlier_prediction=none image_width=medium image_height=large task_pixels=b
SIMONSOLVEV1 predict raw pixels for 'O4T'	I0 17 19 a39m3,,,,b39l3,,,,3,,,,,,,,,, O0 17 19 a93m0,,,,b93l0,,,,0,,,,,,,,,, I1 22 22 2c62d673a7c65a6,a6723636e526a74562,2f563635a263475a6,7632737263a65325463536,626363c6356324b6563,232b3a63625a345736576,63a73636235764a2536563,a32a3273656246275a3536,a63b676353436265265a6,6b3c6534676275a65a6,63a63a62564a36263565a6,6762...	95554440 90000000 44554490 44494400 55949900 95994490 94949590 94900000	{"train":[{"input":[[3,3,9,3,3,3,3,3,3,3,3,3,3,3,3,3,3],[3,3,9,3,3,3,3,3,3,3,3,3,3,3,3,3,3],[3,3,9,3,3,3,3,3,3,3,3,3,3,3,3,3,3],[3,3,9,3,3,3,3,3,3,3,3,3,3,3,3,3,3],[3,3,3,9,3,3,3,3,3,3,3,3,3,3,3,3,3],[3,3,3,9,3,3,3,3,3,3,3,3,3,3,3,3,3],[3,3,3,9,3,3,3,3,3,3,3,3,3,3,3,3,3],[3,3,3,9,3,3,3,3,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,3...	0	dataset=solve_probecolor group=probecolor_right predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=d
simonsolveversion1 predict raw pixels for 'O4T'	I0 14 17 03a08398b08a0,83a09d03a09,8a080a980b809,a080909808c0,a0908b0809a07,e03d070,3809a0903907a0,087f07080,807e097b0,a037053987a080,a097b0c3a80,98a07a0c8b3,3b07f030,a0a3080a890903,b09a08c0890,e08a08c0,09a8a0893a0808 O0 14 17 80a89b0a83079,a0a80a9d870,0a809b08b070,38a985a0809b7,38090539090a70,387975a939a703,a0707509a0...	400 408 488 286 286 866 866 666 666 666 666 666 666	{"train":[{"input":[[0,3,0,0,8,3,9,8,0,0,0,8,0,0],[8,3,0,0,9,0,0,0,0,0,3,0,0,9],[8,0,0,8,0,9,9,8,0,8,8,8,0,9],[0,0,8,0,9,0,9,8,0,8,0,0,0,0],[0,0,9,0,8,0,0,0,8,0,9,0,0,7],[0,0,0,0,0,0,3,0,0,0,0,0,7,0],[3,8,0,9,0,0,9,0,3,9,0,7,0,0],[0,8,7,0,0,0,0,0,0,0,7,0,8,0],[8,0,7,0,0,0,0,0,0,9,7,0,0,0],[0,0,3,7,0,5,3,9,8,7,0,0,8,0],...	0	dataset=solve_probecolor group=probecolor_bottom predict=rawpixels earlier_prediction=none image_width=large image_height=medium task_pixels=d
simonsolveversion1, O4T, predict pixels	I0 8 18 a36a36a3,36030a60,a35a6a36,a35d3,65a6a3a6,653b6a3,35a6a363,a3636b3,6f3,b36c3,6a36a3a6,3a6b303,30b30a3,a6a36a36,6b30a30,6b3a6a3,e363,6d303 O0 8 18 a83a63a6,83603a06,a83a5a63,a83d5,86a5a6a3,865b3a6,83a5a636,a8363b6,8f6,b83c6,8a63a6a3,8a3b630,83b03a0,a8a63a63,8b63a03,8b6a3a6,e836,8d630 I1 16 20 949a49c49a4b9,b9a49...	8856 8533 8033 8073 8203 8203 8853 8665 8885	{"train":[{"input":[[3,3,6,3,3,6,3,3],[3,6,0,3,0,6,6,0],[3,3,5,6,6,3,3,6],[3,3,5,3,3,3,3,3],[6,5,6,6,3,3,6,6],[6,5,3,6,6,6,3,3],[3,5,6,6,3,3,6,3],[3,3,6,3,6,3,3,3],[6,3,3,3,3,3,3,3],[3,3,3,6,3,3,3,3],[6,3,3,6,3,3,6,6],[3,6,6,3,3,3,0,3],[3,0,3,3,3,0,3,3],[6,6,3,3,6,3,3,6],[6,3,3,3,0,3,3,0],[6,3,3,3,6,6,3,3],[3,3,3,3,3,3...	0	dataset=solve_probecolor group=probecolor_left predict=rawpixels earlier_prediction=none image_width=large image_height=medium task_pixels=c
simon-solve-version1, 'O3T', predict the raw pixels	I0 20 20 n5d6,,,,,i5d6d5,,,,,d5d6i5,,,,,d6n5,,,, O0 6 6 b5b6,,,b6b5,, I1 20 45 6,,,,,5,,,,,d6d5d6d5,,,,,5,,,,,,,,,,,,,,,i6i5,,,,,5,,,,,d6n5,,,, O1 6 9 6,,,5,,,b6b5,, I2 45 45 s5d6s5,,,,,n5d6d5d6n5,,,,,n5d6x5,,,,,d5d6x5d6d5,,,,,d6d5d6n5d6d5d6,,,,,d6x5d6i5,,,,,d5d6z5g5,,,,,d6d5d6z5b5,,,,,d6z5l5,,,, O2 9 9 b5b6b5,,,b6b5b6...	555666555 555666555 555666555 555555666 555555666 555555666 555666666 555666666 555666666	{"train":[{"input":[[5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,6,6,6,6,6],[5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,6,6,6,6,6],[5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,6,6,6,6,6],[5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,6,6,6,6,6],[5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,6,6,6,6,6],[5,5,5,5,5,5,5,5,5,5,6,6,6,6,6,5,5,5,5,5],[5,5,5,5,5,5,5,5,5,5,6,6,6,6,6,5,5,5,5,5],[5,5,5...	0	dataset=solve_fractal group=fractal_to_pattern predict=rawpixels earlier_prediction=none image_width=other image_height=other task_pixels=e
Simon-Solve-Version1 predict raw pixels for 'O4T'	I0 14 7 98a5b91e9,58a915a95a9159,9a5e959859,97b95c98919,9795b7891b95,c795e959,c915b98c9 O0 14 7 49a8b59e1,45a891a59a5915,4a9e595985,49b79c59891,4979b5789b19,c479e595,c491b59c8 I1 14 15 e30f3,,d3039e3,,d30g3,,c30h3,c30a30e3,c30h3,,b30i3,,3,, O1 14 15 e43f0,,d4303e9,,d43g0,,c43h0,c43a03e0,c43h0,,b43i0,,4,, I2 19 13 0,b0a...	447779222 473707796 473333337 433333333 444444444	{"train":[{"input":[[9,8,5,5,9,9,9,1,9,9,9,9,9,9],[5,8,9,9,1,5,9,9,5,9,9,1,5,9],[9,5,5,9,9,9,9,9,9,5,9,8,5,9],[9,7,9,9,9,5,9,9,9,9,8,9,1,9],[9,7,9,5,7,7,7,8,9,1,9,9,9,5],[7,7,7,7,9,5,9,9,9,9,9,9,5,9],[9,9,9,9,1,5,9,9,9,8,9,9,9,9]],"output":[[4,9,8,8,5,5,5,9,1,1,1,1,1,1],[4,5,8,8,9,1,5,5,9,5,5,9,1,5],[4,9,9,5,5,5,5,5,5,...	1	dataset=solve_probecolor group=probecolor_left predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
simonsolveversion1 'O5T' predict the pixels	I0 20 19 9595a9a5095065a90a96,0b9590a9b86a9596a9,a595959a89856d905,3a509a89a58965965a95,935a8c98056095c9,583c5980956a5b959,85939a5806596909c5,a45b3580a9569a590a9,95c480c96595c9,a0a958c495659b5a9,9509863939b4c9b5,b95869a53b9a5d9,5a98f90a590a905,505b90a9560c95b9,9a5a9a5a9a09569b509,0h9595a959a50,9596b9a596b959a596,a5b969...	0077777777770000 7700005775777777 5577775500000055 5505575077777705 0000055777700750 7777705550777577 0057770000007005	{"train":[{"input":[[9,5,9,5,9,9,5,5,0,9,5,0,6,5,9,9,0,9,9,6],[0,9,9,9,5,9,0,9,9,8,8,8,6,9,9,5,9,6,9,9],[5,5,9,5,9,5,9,8,8,9,8,5,6,9,9,9,9,9,0,5],[3,5,5,0,9,8,8,9,5,5,8,9,6,5,9,6,5,9,9,5],[9,3,5,8,8,9,9,9,9,8,0,5,6,0,9,5,9,9,9,9],[5,8,3,5,5,5,5,9,8,0,9,5,6,5,5,9,9,9,5,9],[8,5,9,3,9,5,5,8,0,6,5,9,6,9,0,9,5,5,5,5],[4,4,5...	1	dataset=solve_mass group=mass_compare_adjacent_rows predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=d
SIMONSOLVEVERSION1 predict raw pixels for 'O4T'	I0 4 6 a1a0,,a0a1,,a1a0, O0 4 9 01a0,1b0,01a0,b01,a010,b01,01a0,1b0,01a0 I1 6 6 a1c0,,a1a0a1,,c0a1, O1 9 9 0a1e0,01f0,a1f0,0a1c0a1,01d010,a1c0a10,f0a1,f010,e0a10 I2 6 6 c0a1,,,,a1a0a1, O2 9 9 e0a10,,f010,e0a10,,f010,a1c0a10,,01d010 I3 6 4 c1a0,,a1c0, O3 9 4 a01a01b0,0a10a1b0,a01e0,0a1e0 I4T 6 4 a0c1,,a1c0, O4T None	000100100 000011011 100000000 011000000	{"train":[{"input":[[1,1,0,0],[1,1,0,0],[0,0,1,1],[0,0,1,1],[1,1,0,0],[1,1,0,0]],"output":[[0,1,0,0],[1,0,0,0],[0,1,0,0],[0,0,0,1],[0,0,1,0],[0,0,0,1],[0,1,0,0],[1,0,0,0],[0,1,0,0]]},{"input":[[1,1,0,0,0,0],[1,1,0,0,0,0],[1,1,0,0,1,1],[1,1,0,0,1,1],[0,0,0,0,1,1],[0,0,0,0,1,1]],"output":[[0,1,1,0,0,0,0,0,0],[0,1,0,0,0,0...	0	dataset=solve_fractal group=pattern_to_fractal predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a

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Version 1

A combination of multiple datasets.

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

Version 2

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

Version 3

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

Version 4

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

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

Version 5

Different random seed.

Version 6

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

Version 7

Using SIMON-SOLVE-V1 everywhere.

Version 8

Same settings. Different seed as usual.

Version 9

Switching from context length 256 to context length 512.

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

dataset_solve_color, image size: 1-13.

dataset_solve_rotate, image size: 1-9.

dataset_solve_translate, image size: 3-9.

Version 10

Same settings. Different seed as usual.

Version 11

Same settings. Different seed as usual.

Version 12

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

Version 13

Same settings. Different seed as usual.

Version 14

Same settings. Different seed as usual.

Version 15

Same settings. Different seed as usual.

Version 16

Added Predict the output image.

Disabled prediction of rows.

Disabled prediction of height.

Verison 17

Same settings. Different seed as usual.

Using the DatasetGenerator and the DatasetItemListBuilder.

Verison 18

Added datasets.

Datasets:

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

Verison 19

Added dataset.

Datasets:

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

Verison 20

Bigger images.

Verison 21

Added dataset. Disabled some datasets.

Datasets:

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

Verison 22

Added dataset.

Datasets:

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

Bigger image sizes.

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

Verison 23

datset_mass.jsonl. increased to max_mass=5.

Verison 24

datset_mass.jsonl. increased to max_mass=6.

Verison 25

different seed.

Verison 26

datset_mass.jsonl. increased to max_mass=25.

different seed.

Verison 27

different seed.

Verison 28

different seed.

Verison 29

different seed.

Verison 30

different seed.

Verison 31

different seed.

Verison 32

different seed.

Verison 33

Disabled some dataset.

Datasets:

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

Verison 34

Enabled all datasets.

Version 35

Regenerated all datasets with new random seeds.

Verison 36

Added dataset dataset_scale.jsonl.

Disabled some dataset.

Datasets:

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

Verison 37

Enabled all datasets

Datasets:

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

Verison 38

Added dataset

Datasets:

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

Version 39

Regenerated all datasets with new random seeds.

Version 40

Added dataset

Datasets:

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

Version 41

Regenerated all datasets with new random seeds.

Version 42

Added dataset. Disabled some datasets.

Datasets:

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

Version 43

Enabled all datasets.

Version 44

Regenerated all datasets with new random seeds.

Version 45

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

Version 46

Regenerated all datasets with new random seeds.

Version 47

Added dataset. Disabled some datasets.

Datasets:

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

Version 48

Enabled all datasets.

Version 49

Bigger max_mass. From 6 to 8.

Version 50

Added dataset.

Datasets:

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

Version 51

Regenerated all datasets with new random seeds.

Version 52

Regenerated all datasets with new random seeds.

Version 53

Regenerated all datasets with new random seeds.

Version 54

Added dataset.

Datasets:

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

Version 55

Added dataset. Disabled most datasets.

Datasets:

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

Version 56

Enabled all datasets.

Datasets:

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

Version 57

Regenerated all datasets with new random seeds.

Version 58

Disabled most datasets.

Datasets:

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

Version 59

Added new datasets.

Disabled most datasets.

Datasets:

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

Version 60

Incremented random seed

Datasets:

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

Version 61

Enabled all datasets.

More padding inside the dataset_solve_fractal.jsonl.

Version 62

All datasets still enabled.

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

Version 63

Disabled several datasets.

Datasets:

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

Version 64

Added dataset.

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

Datasets:

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

Version 65

random seed.

Version 66

Disabled some datasets.

Datasets:

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

Version 67

Disabled some datasets.

Datasets:

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

Version 68

Enabled all datasets.

Version 69

Different random seed.

Version 70

Different random seed.

Version 71

Different random seed.

Version 72

Different random seed.

Version 73

Different random seed.

Version 74

Major update to dataset_solve_symmetry.jsonl.

Version 75

Different random seed.

Version 76

Disabled some datasets.

Datasets:

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

Version 77

Enabled all datasets.

Version 78

Major update to dataset_solve_symmetry.jsonl.

Version 79

Different random seed.

Version 80

Different random seed.

Version 81

Different random seed.

Version 82

Added dataset.

Datasets:

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

Version 83

Disabled datasets that doesn't solve ARC puzzles.

Datasets:

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

Version 84

Added dataset dataset_solve_grid.jsonl.

Disabled datasets that doesn't solve ARC puzzles.

Datasets:

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

Version 85

Disabled datasets that doesn't solve ARC puzzles.

Datasets:

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

Version 86

Enabled all datasets.

Version 87

Disabled datasets that doesn't solve ARC puzzles.

Datasets:

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

Version 88

Added dataset dataset_solve_probecolor.jsonl with all directions enabled.

Disabled datasets that doesn't solve ARC puzzles.

Datasets:

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

Version 89

Enabled all datasets.

Datasets:

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

Version 90

Disabled some of the datasets.

Datasets:

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

Version 91

Added dataset.

Enabled all datasets.

Datasets:

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

Version 92

Different random seed.

Version 93

Added dataset.

Datasets:

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

Version 94

Added dataset.

Disabled datasets that doesn't solve ARC tasks.

Datasets:

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

Version 95

Added dataset.

Datasets:

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

Version 96

Datasets:

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

Version 97

Disabled the first half of the datasets.

Datasets:

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

Version 98

Disabled the last half of the datasets.

Datasets:

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

Version 99

Disabled the 1/4th of the datasets.

Datasets:

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

Version 100

Added dataset.

Datasets:

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

Version 101

Disabled the non solving datasets.

Datasets:

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

Version 102

Added dataset

Datasets:

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

Version 103

Different random seed.

Version 104

Disabled the non solving datasets.

Datasets:

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

Version 105

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

Datasets:

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

Version 106

Different random seed.

Version 107

Added dataset

Datasets:

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

Version 108

Added dataset

Datasets:

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

Version 109

Different random seed.

Version 110

Added dataset

Datasets:

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

Version 111

Different random seed.

Version 112

Different random seed.

Version 113

Different random seed.

Version 114

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

Version 115

Added dataset

Datasets:

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

Version 116

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

Version 117

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

Version 118

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

Version 119

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

Version 120

Switched to 20k rows.

Version 121

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

Version 122

20k rows.

Added dataset_solve_reverse.jsonl.

Version 123

Doubled the number of rows to 40k rows.

Version 124

Set row count to 100k rows.

Major update to dataset_solve_gravity.jsonl.

Version 125

Row count: 100k rows.

Version 126

Row count: 20k rows.

Only these datasets are enabled:

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

Version 127

Row count: 20k rows.

Only these datasets are enabled:

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

Version 128

Row count: 20k rows.

Only these datasets are enabled:

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

Version 129

Row count: 20k rows.

Only these datasets are enabled:

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

Version 130

Row count: 20k rows.

Only these datasets are enabled:

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

Version 131

Switched back to 300k rows.

Enabled all the datasets.

Version 132

Random seed.

Version 133

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

Version 134

Random seed.

Version 135

Random seed.

Version 136

Major update to the dataset_solve_gravity.jsonl file.

Version 137

Added dataset dataset_solve_skew.jsonl.

Version 138

Disabled several datasets.

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

Version 139

Disabled several datasets.

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

Version 140

Enabled all datasets.

Added new dataset: dataset_solve_cross.jsonl.

Version 141

Switched to 30k rows.

Disabled several datasets.

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

Version 142

Switched to 300k rows.

Enabled all datasets.

Switched from 512 context to 1024 context.

Version 143

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

Version 144

Major update to dataset_solve_symmetry.jsonl.

Version 145

Added dataset_solve_span.jsonl.

Version 146

Extended dataset_solve_span.jsonl with generate_task_with_template_lines.

Version 147

Extended dataset_solve_span.jsonl with generate_task_with_alternate.

Version 148

Added dataset_solve_count.jsonl.

Version 149

Randomized.

Version 150

Upgraded context length for several datasets from 512 to 1024.

Version 151

Randomized.

Version 152

Randomized.

Version 153

Extended dataset_solve_mask.jsonl with generate_task_repair_rectangle_and_crop.

Version 154

Extended dataset_solve_color.jsonl with generate_task_replace_color.

Version 155

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

Version 156

Only 2000 rows.

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

Version 157

Only these datasets.

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

Version 158

Only these datasets.

dataset_solve_boundingbox.jsonl
dataset_solve_rectangle.jsonl

Versin 159

Enabled all the _solve_ datasets.

Version 160

Regenerated all the _solve_ datasets with new seed.

Version 161

Regenerated all the _solve_ datasets with new seed.

Version 162

Replaced RLE compressed response with raw pixel response.

Version 163

Added more generators

DatasetSolveCount
DatasetSolveCross
DatasetSolveEdge
DatasetSolveErosion
DatasetSolveFlip
DatasetSolveFractal

Version 164

Increased row count from 1000 to 2000.

Version 165

Added more generators.

Version 166

Added more generators.

Version 167

Added more generators.

Version 168

Added more generators.

Version 169

Generated data.

Version 170

Generated data.

Version 171

Generated data.

Increased output context length from 256 to 512.

Version 172

Generated data.

Downloads last month: 12

Size of downloaded dataset files:

10.4 MB

Size of the auto-converted Parquet files:

2.64 MB

Number of rows:

2,000