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SIMONSARCIMAGESHAPE find shape3x3opposite bit 0
12 18 b0a6e06,c06a0c60,0a6a0a60a606,a606a0b60a6,6a0a604a6a06,a60a604a6060,0606084a0a60,a0608646a060,b63a64d6,0a603a64a6a0,6a0603040b6,b060634b60,06d04a060,c0c43a60,a6a060c360,0a60b606a30,0606g0,606060a60a60
12 18 0,a0d1a01a0,010b1b0a10,0c10b1010,a01c010a10,b01a010b10,01a01c0a10,c01d010,a01d0b10,a0101b0b10,0a1a010101a0,a0a10101c0,0a1c0101a0,01a01d010,a01e01a0,a0b101d0,b0c1a01a0,0
dataset=shape group=shape3x3_opposite image_width=medium image_height=medium
SIMON-SOLVE-VERSION1 predict image for 'O2T'
I0 10 3 1a3a139a69,1a3a1a3a13,6a9a693a13 O0 2 3 13,,69 I1 15 4 9c5a9a5a7a8a7,0c7a0b72a727,72a72a72b7a0a7,8c7a8a7a5a9a5 O1 3 4 9a5,0a7,727,8a7 I2T 20 2 a95a45c95495c359,a35a95c35945c954 O2T None
4 2 a954,a359
dataset=solve_symmetry group='extract_tile hstack(orig flipx orig 180 flipy)' predict=image image_width=medium image_height=small task_pixels=a
Simon-ARC-Image-Shape find shape3x3 bit 7
19 22 0b40540240d4254,4c04b04a05a04a04,045a0a5b0a5a0a2a05,5b04a540a58a0a5a04,542a024c5845b4a2,5b05a40456084a04a5,040542c0658b0a94,d0504065428a9204,4040540406b98a0204,4c505969502084205,b54b926252a580540,a5490540650424a9a40,40a420460b4a9052a5,250a40260b9050b50,402a046a94810505a20,d09c845a120540,0a4b824525b0a1045,2025a05042a050a4105,540502a45c452a420,50a4a054502454b045,05252542504b0454a0,45b024525b025a040
19 22 1e01a01b01c0,10a1a0b1a01c01a0,1c0101c01b01a0,a0a1a01a01h0,g01a0a1a01b0,01d01e01c0,101c01c01e0,101o0,l01d0,01n010,1i01f0,a0101a01j0,0b1j01b0,a0101m0,0101d0101a0a1b0,l0101b0,1e01c01a0a1a0,01e01b010a1010,01a0101b0101b01a0,1k01a01a0,c01a0b101c0a10,0
dataset=shape group=shape3x3_center image_width=medium image_height=large
SIMONSCELLULARAUTOMATA, Recognize the transformation. serviettes_wrap,maze_wrap,serviettes_nowrap
18 18 4646b464a6d464,a46a46i464,a46a464646e464,a6b46d4c6b4,6c46d464b6a4,6d4d64e6,646b4g6a464,6b4a6c46e46,4a646e464646a4,a464c6e4a6a4,d46g46a46,e4b6d46b4,46b464646c46b4,46464a64b6a4b646,f46b4a646464,a6b46k4,b6a4a6a4b646b46,b46g4646464 18 18 4,,,k4b6b4,j4d6a4,e4j64,e4g6a464,i46f4,c4a6k4,d46g46b4,d4a6j4,e46j4,e4c6c46b4,e4646c4b6a4,4,46o4,,4
serviettes_wrap=0,maze_wrap=0,serviettes_nowrap=0
dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=medium image_height=medium
SIMON-SOLVE-V1 predict image for O3T
I0 3 4 a32,a53,a35, O0 2 3 32,53,35 I1 2 5 86,,69,78,28 O1 2 4 86,69,78,28 I2 6 4 7,7d9,c797,7 O2 4 4 7,7b9,a797,7 I3T 5 2 b561,4c2 O3T None I4T 5 2 4, O4T None
4 2 a561,4b2
dataset=solve_compress group=compressxy predict=image image_width=small image_height=small task_pixels=a
simon-solve-v1, 'O3T', predict the image
I0 2 2 2,57 O0 8 12 2,,,,,,c5c7,,,,, I1 3 3 709,8a7,645 O1 12 18 c7c0c9,,,,,,c8g7,,,,,,c6c4c5,,,,, I2 5 2 b858,5c8 O2 20 12 k8c5c8,,,,,,c5o8,,,,, I3T 4 1 9b1 O3T None
16 6 c9k1,,,,,
dataset=solve_scale group=x4up_y6up predict=image image_width=medium image_height=medium task_pixels=b
SIMONSOLVEVERSION1, O4T, predict image
I0 6 14 12a708,,,,,,,a02405,,,,,, O0 18 2 b1b2e7b0b8,e0b2b4b0b5 I1 3 14 a51,,,,,,,5,,,,,, O1 9 2 e5b1,5 I2 3 14 282,,,,,,,2a8,,,,,, O2 9 2 b2b8b2,b2e8 I3T 6 14 a6a206,,,,,,,b6901,,,,,, O3T None I4T 3 7 7a1,,,,,, O4T None
9 1 b7e1
dataset=solve_scale group=x3up_y7down predict=image image_width=medium image_height=medium task_pixels=a
SIMON-SOLVE-V1, O3T, predict image
I0 2 2 8,82 O0 12 10 8,,,,,e8e2,,,, I1 3 3 5,a56,560 O1 18 15 5,,,,,k5e6,,,,,e5e6e0,,,, I2 2 2 81, O2 12 10 e8e1,,,,,,,,, I3T 3 3 424,a04,484 O3T None I4T 2 1 1 O4T None
18 15 e4e2e4,,,,,k0e4,,,,,e4e8e4,,,,
dataset=solve_scale group=x6up_y5up predict=image image_width=medium image_height=medium task_pixels=b
simon-solve-v1, O2T, predict image
I0 3 2 a64,a45 O0 2 2 64,45 I1 5 6 3,,,,a38a3,a8b3 O1 3 3 3,383,8a3 I2T 3 6 848,,a30,378,878,272 O2T None
3 5 848,a30,378,878,272
dataset=solve_compress group=compressxy predict=image image_width=small image_height=small task_pixels=a
Simon-Solve-V1 'O3T' predict the image
I0 10 8 6,d6d4,a6c4a676,c64b696,,b64d69,6d7b69,a65b6b79 O0 1 1 5 I1 8 6 a3a93b7,93b7383,d3893,a38c39,3c83a9,b393a89 O1 1 1 7 I2T 2 6 71,19,,9,79,9 O2T None I3T 1 5 1,9,,, O3T None
1 1 1
dataset=solve_color group=least_popular_color_1x1 predict=image image_width=small image_height=small task_pixels=a
simon-arc-image-scale scalex=down3 scaley=up3
18 9 b6b5h6b8,b6b8b6e8b6,e3b0h8,b8b0b2b8b6b8,e6e8e6,e6b8b5e6,b6b8b0b8b5b6,b0b5b6b8b5b3,e8e6b5b8
6 27 65b68,,,686a86,,,a30b8,,,802868,,,a6a8a6,,,a685a6,,,680856,,,056853,,,a8a658,,
dataset=scale group=scale_input image_width=medium image_height=small scalex=down3 scaley=up3
simon-arc-image-pair, Remove Histogram-B colors from Histogram-A
11 6 c3a8a09a0,a0a805a0390,38b05090a9,3a07a509b0,3a705e0,79095e0 12 5 c7a8a05a05,a0a80f2,d6c2b5,0a5b0d50,a0505a0c50
3:8,9:8
dataset=image_pair group=a_remove_b_colors image_width=medium image_height=small
simonshistogram, color intersection
5:802 4:381,7:220
empty
dataset=histogram_two group=intersection histogram_size=d
Simon-Image-Scale, What transformation happens here. x1_y1,x4up_y1,x5up_y1,x3up_y1
16 19 2979b72b72a789,a72d7b9b787,2797a4a29a7a9847,724d72c78a9,29a79d72948a7,9a727a572b79897,74a9a72a5a078a79,9a7972a928a789a7,b74a7a089a2b72,9492a0a78b72797,b70b782a782b7,9a079478c797a9,0d78a72a72727,b797982a729c7,97a978f7979,a79d72c79a7,a792479a7a49b79,9a27a92797947979,9a72h7949 16 19 2979b72b72a789,a72d7b9b787,2797a4a29a7a9847,724d72c78a9,29a79d72948a7,9a727a572b79897,74a9a72a5a078a79,9a7972a928a789a7,b74a7a089a2b72,9492a0a78b72797,b70b782a782b7,9a079478c797a9,0d78a72a72727,b797982a729c7,97a978f7979,a79d72c79a7,a792479a7a49b79,9a27a92797947979,9a72h7949
x1_y1=1,x4up_y1=0,x5up_y1=0,x3up_y1=0
dataset=scale group=recognize_transformation image_width=medium image_height=medium scalex=up1 scaley=down1
simon-solve-v1, 'O4T', predict the image
I0 9 7 0,,,,d0a1a0,b0a15b0,0b85b70 O0 7 9 0,e08,,d018,d015,c0157,c0107,e07,0 I1 7 7 5a76706,7650a65,0a5a706,765c6,0c657,6760a67,6a7c3 O1 7 7 57070a6,765a6a7,7b5a67,607a603,767b63,0606563,65a6a73 I2 7 2 0a60a91,0b9a69 O2 2 7 0,69,,09,96,,19 I3T 2 8 2,,20,21,1,,21,2 O3T None I4T 8 5 59a82572,82580579,28a05a28,8925a2a8,5d828 O4T None
5 8 58285,92898,85028,a8058,20528,a5a28,a7282,29b8
dataset=solve_rotate group=flipa predict=image image_width=small image_height=small task_pixels=a
SIMONARCIMAGEPAIR, unique colors that the 2 images have in common
16 1 a9g4e9 2 3 46,36,03
4
dataset=image_pair group=color_intersection image_width=medium image_height=small
Process Simon-ARC-RLE-Image and return the flipb
10 13 b807b8a0,80a17080a8,81a87a60a8,08087a8a68,a0878a0b8,7087a808a0,70878a08a0,87078a0a80,8787b8080,8707b0b8,8a7c80a8,a8780a8b0,a87a0808a0
13 10 a0a8c0c80,a0c8a086a80,8a080c86a08,0a808c086a8,b808a0808608,a080d8c7,0a8e7a810,b7080b80818,a8c7b08108,e8a7a0b8
dataset=image_deserialize group=flipb image_width=small image_height=medium
Simon-ARC-RLE-Image transposed
16 9 g65f6,h65e6,i65d6,g6a05d6,j65c6,f64a9b0b6,f64g6,6,
9 16 6,,,,,,,d6a4a6,5a6069b6,656069b6,a6a560b6,c650b6,d60b6,6,,
dataset=image_deserialize group=flipa image_width=medium image_height=small
SIMON-SOLVE-VERSION1 predict image for 'O4T'
I0 4 6 a353,,a253,a353,3, O0 3 4 353,253,353,3 I1 2 6 47,36,32,36,63, O1 2 5 47,36,32,36,63 I2 4 2 8,a058 O2 3 2 8,058 I3 2 4 15,1,,71 O3 2 3 15,1,71 I4T 3 6 3,,231,282,382,323 O4T None I5T 5 3 45b2,a0b3,3 O5T None
3 5 3,231,282,382,323
dataset=solve_compress group=compressxy predict=image image_width=small image_height=small task_pixels=a
SIMONSOLVEVERSION1 'O3T' predict the image
I0 4 2 a182,a2a1 O0 4 10 a182,,,,,a2a1,,,, I1 7 4 0a47143,a7a21a0,3a43213,430a312 O1 7 20 0a47143,,,,,a7a21a0,,,,,3a43213,,,,,430a312,,,, I2T 15 2 2, O2T None I3T 5 3 a0b2,2b78,2a783 O3T None
5 15 a0b2,,,,,2b78,,,,,2a783,,,,
dataset=solve_scale group=x1_y5up predict=image image_width=medium image_height=medium task_pixels=a
Simon-Solve-Version1, 'O3T', predict the image
I0 1 5 8,4,,3,8 O0 1 5 4,3,8,,4 I1 5 3 a2680,b802,a2042 O1 5 3 a2042,a2680,b802 I2 3 2 909,102 O2 3 2 909,102 I3T 2 2 7,71 O3T None
2 2 7,71
dataset=solve_translate group=translate_yminus2 predict=image image_width=small image_height=small task_pixels=a
simons-image-symmetry apply symmetry 2x2(flipx orig orig flipy)
26 17 1a8a18a15a8l158,d19181419f15b1819,b159c1649191b915819818,91a9b1916149a195d18a18,1859a15a16184b0b19c185,c19198161914a1c0a2b19,a1a989a16a591545a6a219c1,a8a1a8186a9a19a62818191a91,185989816b3a62149a18a9a81,58d13c6a1594a19b18a1,9b19a1a689e14a19198a1,9a1a8a658d19a184a1819a1,918a6a89c19a19b14a19b1,1a6a8d1c9b1a8149a191,a1915f85a8a91b94b19,8981989b151g89149a1,1919b18b158b19b1c891
52 34 85l1a85a18a1a8a1a8a18a15a8l158,918b15f19141819i19181419f15b1819,81891851b9191946c195e159c1649191b915819818,8a18d159a1941619b1a91a91a9b1916149a195d18a18,58c19b1b04816a15a1958a1859a15a16184b0b19c185,9b1a2c0a14191618919g19198161914a1c0a2b19,c191a2a654519a56a198a9c1a989a16a591545a6a219c1,1a91918182a69a1a9681a8a1c8a1a8186a9a19a62818191a91,1a8a98a19412a6b361898958a185989816b3a62149a18a9a81,a18b19a1495a1c63d18a58d13c6a1594a19b18a1,a18919a14e198a6a19b1a9b19a1a689e14a19198a1,a1918a148a19d185a6a8a1a9a1a8a658d19a184a1819a1,b19a14b19a19c19a8a681a918a6a89c19a19b14a19b1,19a1941a8b1c9d1a8a6a1a6a8d1c9b1a8149a191,9b14b91a9a85f8519c1915f85a8a91b94b19,a19419g815b1989189a8981989b151g89149a1,19c8b19b185b18b1919a1919b18b158b19b1c891,1a8a18a15a8l1581919b18b158b19b1c891,d19181419f15b18198981989b151g89149a1,b159c1649191b915819818a1915f85a8a91b94b19,91a9b1916149a195d18a181a6a8d1c9b1a8149a191,1859a15a16184b0b19c185918a6a89c19a19b14a19b1,c19198161914a1c0a2b1a9a1a8a658d19a184a1819a1,a1a989a16a591545a6a219c19b19a1a689e14a19198a1,a8a1a8186a9a19a62818191a9158d13c6a1594a19b18a1,185989816b3a62149a18a9a8a185989816b3a62149a18a9a81,58d13c6a1594a19b18a1a8a1a8186a9a19a62818191a91,9b19a1a689e14a19198c1a989a16a591545a6a219c1,9a1a8a658d19a184a1819e19198161914a1c0a2b19,918a6a89c19a19b14a19c1859a15a16184b0b19c185,1a6a8d1c9b1a8149a19191a9b1916149a195d18a18,a1915f85a8a91b94b19b159c1649191b915819818,8981989b151g89149f19181419f15b1819,1919b18b158b19b1c89a1a8a18a15a8l158
dataset=symmetry group=symmetry image_width=large image_height=medium instruction_sequence='2x2(flipx orig orig flipy)'
simon-solve-version1, 'O3T', predict the image
I0 8 2 9a0a2090,029a0902 O0 2 2 90,02 I1 12 2 62161a81a621,61862a12a618 O1 3 2 621,618 I2 8 3 a02a82a0,020a2a02,28c028 O2 2 3 0,02,28 I3T 12 2 29g292,c29a29c2 O3T None
3 2 292,2
dataset=solve_symmetry group='extract_tile vstack(orig 180 flipx orig)' predict=image image_width=medium image_height=small task_pixels=a
SimonsImageMass identify places where max mass is 4, connectivity 4
6 8 9a0a30,9a7053,9507a4,093a05,595a05,0905a0,,09a053
6 8 1,,,101a01,,10a1a0,,10c1
dataset=mass group=max_mass image_width=small image_height=small connectivity=PixelConnectivity.NEAREST4 max_mass=4
Simons-ARC-Image-Shape detect shape3x3opposite bit 0
17 20 0343b4b3a402b4,a20a4a0303a43b24,b4a0427b4023424,40a42b4a74304043,a4342434047040a43,a43a420240473b43,3a43a23a4043a7b4,a43b4a3230430324,3a4a2034070b3b4,43d437243c40,a430b474a30a4323,240b407b340a2a4,423b4a3b420b40,342343c43240420,b4a3434a0b402a3,3234342c432a424,404a342320a4a3434,2b4a3a424324a343,2a4a2a0b43242a43,3c42a424043c4
17 20 0,f01e0a10,c0a1c0101c0,a01b01c0a1c0,b01b01a01b01a0,01c01c0101010,a0101g01010,k01a010,0a10a1c0101c0,0101h01b0,b0a1b01d0a10,a01c0101b0a1a0,01b0a1a01c01a0,010a101a0b1d0,0a1c0b1b01010,01j01b0,b01a0b1a0a101a0,01c01c01d0,a0a1c010a101b0,0
dataset=shape group=shape3x3_opposite image_width=medium image_height=medium
Rotate Clockwise SimonsRLEImage
13 21 0,,,,,,,,,b08f040,b08e0140,,b08d01040,b08c0104a0,b08b01a04a0,,b08a01a0a8a0,b0801b8c0,b0b8f0,b081g0,b01h0
21 13 0,,,1j8h0,018q0,a081p0,b081o0,b080a1m0,b08b01l0,c08b01k0,c08b40a1i0,g0c4h0,0
dataset=image_deserialize group=rotate_cw image_width=medium image_height=large
simon-cellular-automaton, Recognize the transformation between input and output. maze_wrap,serviettes_wrap,cave_wrap,gameoflife_nowrap
21 14 c72b7272a72b72727,2c7a272a72c72b72,b2a7272d727272b7,a72h72b7272a7,7272a72c72b7272727,72b72a727272a7a2c7,b7c2b7a2727272b7,c7a2b72a727a2d7,272c72b7a2a72c72,72c7a2g72c7,2a727b272b7a2e7,d72b72a72b7a2b7,72b727a2b72a7a2c7,2l72d72 21 14 d727272j7,2b7b27a2a72727b2a7,272a7272c72a7272b7,2a72a72d727a2a72a7,72h7a2a727a2a7,b72b727a272a727a2a7,b72a72b72a72f7,n72d7,72b727a2a7e2c7,b2a72e7c2d7,c7a272d727b2b7,d72b72a72727a2b7,e7272c727b2b7,n72d7
maze_wrap=0,serviettes_wrap=0,cave_wrap=0,gameoflife_nowrap=1
dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=large image_height=medium
Simon-Solve-Version1 predict image for 'O3T'
I0 8 3 1a281b5,123a5216,1a5a82a1 O0 16 15 a1c2a8a1e5,,,,,a1a2a3c5a2a1a6,,,,,a1c5c8a2c1,,,, I1 6 3 d54,b5a45,a54b5 O1 12 15 i5a4,,,,,e5c4a5,,,,,c5a4e5,,,, I2T 5 4 9a290,39a02,96132,a0919 O2T None I3T 8 1 3b0c8 O3T None
16 5 a3e0g8,,,,
dataset=solve_scale group=x2up_y5up predict=image image_width=medium image_height=medium task_pixels=a
Simons-Arc-Image-Pair, intersection of colors of the 2 images
4 6 5214,a941,b45,2942,1919,1a91 11 8 a29c249a2,a2929c242,c24c242,b2924b292,2,c29e2,c24e2,c29e2
2,4,9
dataset=image_pair group=color_intersection image_width=medium image_height=small
how many unique colors are there in Simon-ARC-Histogram
8:503,3:205 3:1595,4:1207
3
dataset=histogram_two group=number_of_unique_colors histogram_size=d
SimonRLEImagePair, number of colors that the two images have in common
17 8 37f30a30c3,e3070f30,c36i1a3,a36363037b30c3,a3063673b0a30b3,a6730673030b30a3,36306a306a37d3,e3763a0d30 15 2 a8b2a8c360a8,f38a06c0
3
dataset=image_pair group=number_of_intersection_colors image_width=medium image_height=small
Simon-Solve-V1, 'O5T', predict the image
I0 2 4 1,29,21, O0 2 4 29,21,,1 I1 4 4 84a8,8b4,4, O1 4 4 a484,4,,b84 I2 4 2 a434,b41 O2 4 2 41a4,3b4 I3 2 3 36,60,91 O3 2 3 60,91,36 I4T 3 6 686,785,786,6,a62,6 O4T None I5T 6 1 3c73 O5T None
6 1 b7a37
dataset=solve_translate group=translate_xminus2yminus1 predict=image image_width=small image_height=small task_pixels=a
simon-solve-v1 predict image for 'O2T'
I0 2 1 1 O0 2 1 1 I1 1 5 0,,,,2 O1 1 5 0,2,0,, I2T 5 4 125a9,2a929,15959,1a929 O2T None I3T 4 4 a595,4,56a5,5695 O3T None
5 4 91595,91a92,91259,92a92
dataset=solve_translate group=translate_xplus1yplus2 predict=image image_width=small image_height=small task_pixels=a
Simon-Solve-Version1, 'O4T', predict the image
I0 1 7 6,9,2,,3,2, O0 7 1 a23a296 I1 7 8 89a0690,0498604,90a9609,825a960,a8a0360,9072065,a097054,b07a05 O1 8 7 545a0940,05b6a09,b039b6,a720a980,09705a90,b082049,a09a8908 I2 8 8 a4149b4,41242924,a2a429a4,a420a494,4a28a494,b248649,c45464,d4546 O2 8 8 649d4,464a9424,546a4a94,458a4a29,b480b4,a4b2421,a4a24214,a42a42a4 I3 8 7 1f5,3a6c51,5a675653,5a61a715,5165a475,5136a5a4,d5a15 O3 7 8 54a5315,1471b5,15476a5,a547b5,56517a5,53c65,5a1b65,d531 I4T 7 5 4b8414,a343438,43a8468,8137468,48b468 O4T None
5 7 c84,b631,4,47838,43848,81a38,48434
dataset=solve_rotate group=flipb predict=image image_width=small image_height=small task_pixels=a
Process SIMONSARCIMAGE and return the counter clock wise rotated
11 19 1,,i13,,,,15f193,a15e193,,b15d193,c15c131,d159a131,c195b131,b18a15a131,b18a175931,c18171531,c18617531,d1617951,g19a1
19 11 a1g3h1,e1c9f351,m19a5a9,m151a71,j1915a7b1,j1a5b1a61,i1519a1a8a1,h15b1a8c1,f1a5i1,e15k1,1
dataset=image_deserialize group=rotate_ccw image_width=medium image_height=medium
simonsolvev1, O3T, predict image
I0 8 4 b8978a7,c15987,a7860a28,b82c0 O0 4 8 8718,,a818,2619,a057,0298,0287,08a7 I1 4 6 a060,6030,9530,,5390,03a4 O1 6 4 05a960,a3a5a0,49b36,4d0 I2 6 4 a71a71,a1b74,7873a9,89b57 O2 4 6 8717,9817,5a71,53a7,59a7,7941 I3T 4 5 a727,2b7,7,a272, O3T None I4T 5 9 08202,202a0,2a020,0,a04a0,a0a45,04540,04b8,62080 O4T None
5 4 a2727,a2b7,c72,a2b7
dataset=solve_rotate group=rotate_cw predict=image image_width=small image_height=small task_pixels=a
SIMONSARCRLEIMAGE flip-b
11 2 0,
2 11 0,,,,,,,,,,
dataset=image_deserialize group=flipb image_width=medium image_height=small
SIMON-SOLVE-V1, O3T, predict image
I0 7 6 c91a9,2b91a9,9291b9,92915a9,a92c9, O0 7 6 a92c9,,92915a9,9291b9,2b91a9,c91a9 I1 6 7 c707,,b70a7,7a40a7,a70b4,76a3a7,a3c7 O1 6 7 a3c7,76a3a7,a70b4,7a40a7,b70a7,c707, I2T 7 2 a545654,5 O2T None I3T 2 9 78,08,,60,70,,,50,30 O3T None
2 9 30,50,70,,,60,08,,78
dataset=solve_rotate group=flipy predict=image image_width=small image_height=small task_pixels=a
simons-cellular-automaton, Given two images, recognize the transformations. cave_wrap,maze_wrap,maze_nowrap,serviettes_wrap
16 21 82828a2b828c2,828a2b8a28d2,8e2c8b282,f28e282,d8c28d28,2828282a828d2,28a2a82b8e2,2a8a2a8b2b8282,8a282828a28282a8,b828a28a282a8a2,828282a82a8a2b8,c282828c2a82,8b2b8282b82a8,k2a8a2,e2e828a2,e28a28282828,e2b82a82828,a8i2a8a2,2,8j2c8,82828a2828e2 16 21 b28282c8d2,8a2828b2828c2,28f2a8d2,82a8b28a28b2a8,a82a82a828e2,a282a828a28d2,a828a28h2,c8e28282a8,a82828282a8a2b8,82828a28a2828282,8282828a2b8b28,28a28a2a8f2,c2828a28282828,j28c2,e2c82b8a2,d28a28b2a8a2,e2g8a2,f28b2c82,a8m2,28j2a82,
cave_wrap=0,maze_wrap=0,maze_nowrap=0,serviettes_wrap=0
dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=medium image_height=large
Simon-Solve-Version1 predict image for 'O2T'
I0 7 12 41a42a4,41a7b4,a71a4a7,a417b4,2741b4,4271472,7a21474,a240141,a470142,a470717,4a70714,47207a2 O0 1 1 0 I1 6 11 41b42,414a74,a41247,421a47,a241a4,a741a4,a74142,a14214,741214,a47421,42a421 O1 1 1 7 I2T 11 13 b6a7b6767,d6b7676,7f67a6,c67d67,f6b76,67a67d67,a67a6a7a676,b67b6a7a6,b67a6a7b6,7e6a7a6,d6a7a676,f676a7,a7d6a767 O2T None
1 1 7
dataset=solve_color group=least_popular_color_1x1 predict=image image_width=medium image_height=medium task_pixels=a
SIMON-SOLVE-VERSION1 predict image for O3T
I0 5 4 10492,1c2,04940,0a4a0 O0 5 4 a0494,a0a40,21049,21b2 I1 4 3 54a5,74a5,76a2 O1 4 3 5745,2762,a545 I2T 3 8 656,676,569,1a6,6,616,,8a6 O2T None I3T 8 2 6a426a10,b2d1 O3T None
8 2 06a426a1,1b2c1
dataset=solve_translate group=translate_xplus1yplus2 predict=image image_width=small image_height=small task_pixels=a
Simon-Image-Symmetry apply symmetry hstack(flipy flipy flipx flipx flipx)
7 5 0b5b2,2a0c2,2460a52,2425a05,24b262
35 5 24b26a24b26c2b50b2b50b2b50,2425a052425a05c2a0d2a0d2a02,2460a5a2460a5a2a5064a2a5064a2a50642,2a0d2a0c25a052425a052425a05242,0b5b20b5c26b24a26b24a26b242
dataset=symmetry group=symmetry image_width=small image_height=small instruction_sequence='hstack(flipy flipy flipx flipx flipx)'
SimonsImageMass max mass 2, connectivity all8
6 7 d68,68a363,3654a7,a85a68,a61636,831386,a31636
6 7 d01,0b101,10c1,b1a01,a1c0,1b010,b01a0
dataset=mass group=max_mass image_width=small image_height=small connectivity=PixelConnectivity.ALL8 max_mass=2
SIMONIMAGESHAPE identify places where shape2x2 contains bit 5
17 5 f08a0808c0,8b0808b08c080,d08c08b08a0,8b08c08d080,8m080
18 6 1p0,a0b10c1b0b1a0,0b10d1a0d10,a0k101a0,a0a10c10d1b0,p01
dataset=shape group=shape2x2 image_width=medium image_height=small
simon-image-scale, Recognize the transformation between input and output. x3up_y1,x2up_y1,x1_y1
18 28 6,,e7b6b7e6,k6b7b6,h6b7e6,b6b7b8h6,e6b8h6,e6b8b1e6,,e6b8b6b1b6,,e6b8e6b1,b6b5b8b7b6b1,b6b5b8h6,,b7b6b5b8b6b7,e6b5b8e6,,,b7b6b5b8e6,b6b7b5b8e6,h6b5e6,,,6,e6b7e6b7,6, 6 28 6,,a767a6,c676,b67a6,678b6,a68b6,a681a6,,a68616,,a68a61,658761,658b6,,765867,a658a6,,,7658a6,6758a6,b65a6,,,6,a67a67,6,
x3up_y1=0,x2up_y1=0,x1_y1=0
dataset=scale group=recognize_transformation image_width=medium image_height=large scalex=down3 scaley=down1
SimonsCellularAutomata, Recognize the transformation between input and output. maze_wrap,gameoflife_nowrap,highlife_nowrap,maze_nowrap
21 20 j64c6a4b6,b6a4c64c6a4a64a6,646a46464d64c646,6464b6464f646a4,c6a4a6464b64b6a46,a6b4e6a46a4d6,4b64i6464b6,l646a4a646,e6a46a4d64c6,6464c6464a64d646,a6a46a4b6464g6,464c64b64a6a46a464,4a6a4c6a4c64b646,6a46464a64a6b4a64b6,64c646a4e64c6,e6b4b64a64d6,a4f646a4c64b6,b64a64a64e64a6a4,4a6a4a6f4f6,6a4a64b64a6464b64a6 21 20 4,,a46q4,c46l46a4,b46p4,4,m4646c4,4,,h46j4,4,b46p4,46k46e4,4,f46l4,4,,g464b6g4,4,i4a6h4
maze_wrap=0,gameoflife_nowrap=0,highlife_nowrap=0,maze_nowrap=0
dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=large image_height=medium
simons-image-shape find shape3x3opposite bit 0
5 17 a9b0,c08,09a08,,09098,c08,,a9a08,c08,b098,,2,0a9a0,9a090,0,a90a9,090a9
5 17 0,,0a1a0,,01b0,,0a1a0,,a01a0,01b0,0,a0a10,0,01b0,0,01b0,0
dataset=shape group=shape3x3_opposite image_width=small image_height=medium
SIMONCELLULARAUTOMATON, Recognize the transformation. maze_nowrap,serviettes_nowrap,gameoflife_nowrap
17 23 5,,,,,,,,a52m5,,5,,,,f52h5,,e5a2h5,5,,,,, 17 23 5,,,,,,,,a52m5,,5,,,,f52h5,f5a2g5,e5a2h5,5,,,,,
maze_nowrap=1,serviettes_nowrap=0,gameoflife_nowrap=0
dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=medium image_height=large
SIMONSOLVEVERSION1 predict image for O4T
I0 4 2 a183,a8a3 O0 3 2 183,8a3 I1 2 2 0, O1 1 1 0 I2 5 2 29b1,2a1a8 O2 4 2 29a1,2a18 I3T 3 2 a97,7 O3T None I4T 2 6 02,08,48,74,, O4T None
2 4 02,08,48,74
dataset=solve_compress group=compressxy predict=image image_width=small image_height=small task_pixels=a
simon-solve-v1 predict image for 'O2T'
I0 6 8 97c9,a9a7a9,c9a7,9,,,, O0 6 8 9,,,,,,, I1 8 8 2a862b8,2826c8,b86a8a2,a286a2a8,a2689862,a8c682,b62a9a2,9a0b2a8 O1 8 8 8,,,,,,, I2T 8 2 4,e6a7 O2T None I3T 2 14 3,35,95,5,95,65,,5,,59,39,95,5,95 O3T None
8 2 4,
dataset=solve_color group=most_popular_color_same predict=image image_width=small image_height=medium task_pixels=a
Simons-Image-Mass max mass 7, connectivity corner4
14 6 b760357b0606,b703a0a6b060,b030a7a0c67,a0370e6b7,7c6070b8704,0707c85c04
14 6 j1010,g10b101,h1010a1,g1010b1,1,
dataset=mass group=max_mass image_width=medium image_height=small connectivity=PixelConnectivity.CORNER4 max_mass=7
SimonImageShape unique color count in shape3x3histogramall9
21 24 9,,,,,,,,,,,,,,,,,,,,,,,
21 24 1,,,,,,,,,,,,,,,,,,,,,,,
dataset=shape group=shape3x3_histogram_all9 image_width=large image_height=large
simonsolveversion1, O4T, predict image
I0 6 3 a04059,a0a5a9,1 O0 5 3 04059,0a5a9,1 I1 3 6 539,379,,a79,a76,a16 O1 3 5 539,379,a79,a76,a16 I2 5 3 5,c53,5b39 O2 3 3 5,a53,539 I3 3 6 0,,5a0,040,010,4a0 O3 3 5 0,5a0,040,010,4a0 I4T 6 3 a43b4,41c4,a478a4 O4T None
5 3 a43a4,41b4,a4784
dataset=solve_compress group=compressxy predict=image image_width=small image_height=small task_pixels=a
SIMONSOLVEV1 'O4T' predict the image
I0 12 3 a28a2898a789,28728a78a287,7897898c28 O0 3 3 789,287,a28 I1 12 3 f28a582,58a58a58a585,58258f2 O1 3 3 582,585,2 I2 12 3 69769717a971,97097a07a970,97197179a697 O2 3 3 971,970,697 I3 16 3 a94b9494e24,2124212a421a2124,b24b2494c949 O3 4 3 b24,2124,a949 I4T 12 4 0a50b57a575,e57c57,a57a57e5,57a57b5a0a5 O4T None
3 4 575,a57,5,0a5
dataset=solve_symmetry group='extract_tile vstack(orig flipy flipx flipx)' predict=image image_width=medium image_height=small task_pixels=a
Process SimonsRLEImage and return the flipb
8 19 b82c8,,b814b8,b184b8,82a84b8,a82482a8,b84a2a8,b848a28,b84a828,b84c8,a84d8,,,,84e8,,86e8,,
19 8 8,i8a2f8,j8b2d8,k828b4a8,h8d4a81a2,d8c4c8281b8,b6a4h821b8,n81b8
dataset=image_deserialize group=flipb image_width=small image_height=medium
simon-solve-version1, O4T, predict image
I0 9 6 6d18a1,16a17c1,a16a18b1,7a16a1a61,a181617a1,1 O0 6 9 6a17a1,16c1,a16181,b16a1,17a161,a18b1,8a1671,b16a1,1 I1 6 10 368b4,4683a4,4648a4,,6a48a4,6d4,0a9b4,9d4,4, O1 10 6 3b4a609a4,c6a49b4,a8c49b4,43b8d4,4, I2 10 8 0,,,,,,, O2 8 10 0,,,,,,,,, I3 8 2 a8a2a4a0,e5a4 O3 2 8 85,,25,,45,,04, I4T 2 2 0, O4T None
2 2 0,
dataset=solve_rotate group=flipa predict=image image_width=small image_height=small task_pixels=a
what are the unique colors in Simons-Histogram
8:172 1:1438,2:1406,9:1237,5:783,0:654,8:552,4:477,7:417,3:86
0,1,2,3,4,5,7,8,9
dataset=histogram_two group=unique_colors histogram_size=d
Simon-Solve-V1, O3T, predict image
I0 4 4 9,9696,5,9 O0 2 4 9,96,5,9 I1 8 2 29812981,19b19a1 O1 4 2 2981,19a1 I2 4 4 1,,2121,2 O2 2 4 1,,21,2 I3T 8 3 2a672a67,a067a067,a2a0a2a0 O3T None
4 3 2a67,a067,a2a0
dataset=solve_symmetry group='extract_tile hstack(orig orig)' predict=image image_width=small image_height=small task_pixels=a
SIMON-SOLVE-VERSION1 predict image for 'O3T'
I0 5 12 04090,b494,a49a4,049a4,09a40,59304,53434,353a4,,a4a30,43594,a3093 O0 1 1 5 I1 12 6 g410a4,404a1c4a01,a5a1d4a04,41a5d4101,0a415c1a40,0a40a4a24a10 O1 1 1 2 I2 6 12 b6b9,9b696,960906,6a9b6,9090a6,5b6a9,5d6,050609,656a09,a959a6,a65a69,6a95a9 O2 1 1 5 I3T 12 6 604604a84b8,e806a0a8,a8a40808a480,84a80a8a0b8,a806g8,0e80c8 O3T None
1 1 6
dataset=solve_color group=least_popular_color_1x1 predict=image image_width=medium image_height=medium task_pixels=a
Max of Simon-ARC-Histogram
9:811,2:777,3:112 8:1451,6:1437,2:1312,9:905,5:893,0:461,3:311,1:288,4:187
8:1451,6:1437,2:1312,9:905,5:893,0:461,3:311,1:288,4:187
dataset=histogram_two group=max histogram_size=d
SIMON-SOLVE-VERSION1 predict image for O3T
I0 4 3 4a64,41a6,a646 O0 4 6 4a64,a614,64a6,,a614,4a64 I1 3 3 358,980,780 O1 3 6 853,089,087,,089,853 I2 3 3 358,784,184 O2 3 6 853,487,481,,487,853 I3T 3 2 1a5,5a2 O3T None I4T 2 3 83,25,5 O4T None
3 4 a51,a25,,a51
dataset=solve_symmetry group='create_symmetry vstack(flipx 180)' predict=image image_width=small image_height=small task_pixels=a
SIMONSARCIMAGESYMMETRY make symmetric vstack(orig orig 180)
10 20 b3a9a3939,3939c393,a39b3a9a3,39f57,3b9393a73,a3939a7939,3b979a393,93a7b9393,9793b9a39,93a93d9,a3b939a39,93a93a9b3,a9393a9393,b39a39b3,93b9c39,f93a9,9a3b9a3a9,d9d3,g939,93c9a3a9
10 60 b3a9a3939,3939c393,a39b3a9a3,39f57,3b9393a73,a3939a7939,3b979a393,93a7b9393,9793b9a39,93a93d9,a3b939a39,93a93a9b3,a9393a9393,b39a39b3,93b9c39,f93a9,9a3b9a3a9,d9d3,g939,93c9a3a9,b3a9a3939,3939c393,a39b3a9a3,39f57,3b9393a73,a3939a7939,3b979a393,93a7b9393,9793b9a39,93a93d9,a3b939a39,93a93a9b3,a9393a9393,b39a39b3,93b9c39,f93a9,9a3b9a3a9,d9d3,g939,93c9a3a9,a9a3c939,93g9,d3d9,a9a3b9a39,a93f9,9c3b939,b39a39b3,393a9393a9,b3a93a939,9a393b9a3,d93a939,9a3b93979,393b9a739,39a397b93,939a7939a3,3a7393b93,7f593,a3a9b39a3,39c39393,939a3a9b3
dataset=symmetry group=symmetry image_width=small image_height=medium instruction_sequence='vstack(orig orig 180)'
SIMON-SOLVE-VERSION1 predict image for O3T
I0 8 5 7a203a72,27023272,b27b27,a7e2,23b2727 O0 8 5 2a7d2,723b272,27a203a7,a2702327,7b27b2 I1 5 1 279a7 O1 5 1 72797 I2 1 5 0,3,,, O2 1 5 3,,0,3, I3T 5 8 1,4a141,a2b1,15a21,15417,a1a71,17a14,a1a41 O3T None I4T 8 3 8a2d8,a84a94a8,489a84a8 O4T None
5 8 417a1,b1a4,1,14a14,1a2a1,a15a2,71541,b1a7
dataset=solve_translate group=translate_xplus1yplus2 predict=image image_width=small image_height=small task_pixels=a
Simon-Solve-V1, 'O2T', predict the image
I0 1 1 8 O0 4 6 8,,,,, I1 2 3 71,01,10 O1 8 18 c7c1,,,,,,c0c1,,,,,,c1c0,,,,, I2T 5 3 5b46,06165,3a475 O2T None I3T 4 1 0130 O3T None
20 18 c5k4c6,,,,,,c0c6c1c6c5,,,,,,c3g4c7c5,,,,,
dataset=solve_scale group=x4up_y6up predict=image image_width=small image_height=medium task_pixels=a
SIMON-SOLVE-VERSION1 predict image for 'O4T'
I0 3 4 2,,7,6 O0 1 4 2,,7,6 I1 3 4 6,,9,6 O1 1 4 6,,9,6 I2 3 8 4,5,,,,6,,8 O2 1 8 4,5,,,,6,,8 I3 6 7 b1b4,,b2b4,,,,b1b6 O3 2 7 14,,24,,,,16 I4T 6 10 b8b9,b8b1,b8b9,,,b8b2,,9,, O4T None I5T 9 5 b7b6b7,b4b6b8,b5b6b8,b7b6b7,b7b5b7 O5T None
2 10 89,81,89,,,82,,9,,
dataset=solve_scale group=x3down_y1 predict=image image_width=small image_height=small task_pixels=a
SIMON-SOLVE-V1 'O3T' predict the image
I0 2 2 09, O0 4 2 9a09, I1 2 3 24,37,63 O1 4 3 4263,7a37,3624 I2 3 2 793,9a1 O2 6 2 3979a1,a19793 I3T 2 3 91,04,80 O3T None I4T 3 2 810,7 O4T None
4 3 1980,4a04,0891
dataset=solve_symmetry group='create_symmetry hstack(flipx flipy)' predict=image image_width=small image_height=small task_pixels=a
SimonImageScale, Given two images, recognize the transformations. x2down_y7down,x3up_y1,x2up_y1
24 21 a3c0a7c5a7a0a5c3a5,,,,,,,a3c7a3a7a3a0a5c0a3a0,,,,,,,a0a5a3a5i0a3c0,,,,,, 12 3 3a07a5705a35,3a737305a030,0535d03a0
x2down_y7down=1,x3up_y1=0,x2up_y1=0
dataset=scale group=recognize_transformation image_width=large image_height=large scalex=down2 scaley=down7
SIMON-SOLVE-VERSION1 predict image for 'O3T'
I0 2 12 01,57,17,,10,75,71,,01,57,17, O0 2 4 01,57,17, I1 4 6 a7a5,a6a0,a5a7,a0a6,a7a5,a6a0 O1 4 2 a7a5,a6a0 I2 2 12 10,17,71,27,01,71,17,72,10,17,71,27 O2 2 4 10,17,71,27 I3T 4 12 0694,20a7,a709,2b7,4960,a702,90a7,b72,0694,20a7,a709,2b7 O3T None I4T 4 6 a686,a868,68a6,86a8,a686,a868 O4T None
4 4 0694,20a7,a709,2b7
dataset=solve_symmetry group='extract_tile vstack(orig flipx orig)' predict=image image_width=small image_height=medium task_pixels=a
SIMON-SOLVE-V1 predict image for O4T
I0 10 10 3,,,,,,,,, O0 1 1 3 I1 10 2 2a4a7b804,5a4a8c48 O1 1 1 4 I2 2 14 3,39,79,70,,,73,,37,,,,,3 O2 1 1 3 I3 14 12 4,e4538d4,4142a538b3b4,a4a143d4a34,a4643b4b6b4,a463c6e4,4b6i4,46k4,4,,, O3 1 1 4 I4T 12 1 1b0b72c1 O4T None
1 1 1
dataset=solve_color group=most_popular_color_1x1 predict=image image_width=medium image_height=medium task_pixels=a
simon-image-shape identify places where shape2x2 contains bit 5
14 12 06a07303c070,06a0b3a0707a0,3067c0702b0,0360a3a0707a23,0a36303a70b32,a036a070b3b0,0a3637e030,3b0670a30a3a0,03736a303b0a3,303a7d03b0,b0c303d0,0a30c3a0a307
15 13 1m0,b01010b10b10,a01c0c10a10,01a01a01f0,d0a101c010,d0101a0a1b0,0a1b0a1b0a1a0,01d01a010a10,01d01c01a0,0101b010a1c0,01e01a0b10,01010a10b1a010,m01
dataset=shape group=shape2x2 image_width=medium image_height=medium
what are the unique colors in simon-histogram
5:1365,9:313,2:3 6:159
2,5,6,9
dataset=histogram_two group=unique_colors histogram_size=d
Maximum of Simon-ARC-Histogram
3:982,6:581,5:452,8:410,4:254,1:233 2:1581
2:1581,3:982,6:581,5:452,8:410,4:254,1:233
dataset=histogram_two group=max histogram_size=d
simon-solve-version1 'O4T' predict the image
I0 1 10 4,,,,,,,,, O0 1 10 4,,,,,,,,, I1 10 4 49406d4,6a0f4,a4a8e4,4 O1 10 4 4,a4a8e4,6a0f4,49406d4 I2 4 1 a568 O2 4 1 a568 I3 1 2 1,4 O3 1 2 4,1 I4T 2 10 1,,,,,,,,, O4T None I5T 10 7 9,91d92a9,92c92a92,a92f9,a92b92b9,a92f9,b92c929 O5T None
2 10 1,,,,,,,,,
dataset=solve_rotate group=flipy predict=image image_width=small image_height=small task_pixels=a
SIMON-SOLVE-V1 'O2T' predict the image
I0 2 3 54,38,35 O0 2 9 45,83,53,45,83,53,45,83,53 I1 3 2 a46,343 O1 3 6 6a4,343,6a4,343,6a4,343 I2T 2 3 05,2,83 O2T None
2 9 50,2,38,50,2,38,50,2,38
dataset=solve_symmetry group='create_symmetry vstack(flipx flipx flipx)' predict=image image_width=small image_height=small task_pixels=a
simonsolvev1, O3T, predict image
I0 4 5 70a7,38a7,7,30a7,0737 O0 4 5 7,0a73,7370,0b7,8a73 I1 5 2 7a0a3,b841 O1 5 2 a0a37,a8418 I2T 2 6 71,70,0,95,08,2 O2T None I3T 6 4 c678,6b786,b7676,a67a67 O3T None
6 4 a76767,67a676,b6786,b78a6
dataset=solve_translate group=translate_xminus1yminus2 predict=image image_width=small image_height=small task_pixels=a
Process Simon-ARC-RLE-Image-Pair and return the number of colors in common
16 10 m154,k15a41,i1a54b1,e1a3a5a4c1,g1a43a6b1,f1a4a6d1,e14a6a14c1,1,, 20 9 9a71a769617969521717,6a7917a61a975a2a1a97,c769b69a526719b7,679797a3a5a2c76a76,6a71767a623a717a67a1,7a17a17a2a7a17617967,9169a72d7976a7971,c7b6a791a9a7169a7,19761979d79c7a6
4
dataset=image_pair group=number_of_intersection_colors image_width=medium image_height=small
SimonsArcImageShape unique color count in shape3x3histogramdiamond4
12 26 d58e5,b5858b58a5,e58d5,5,h58a5,d58e5,58i5,a58h5,8h5a8,5,i585,d58e5,5,b58g5,5,a58d58b5,j58,5,f58c5,a5a8a58d5,e58b585,5858g5,j58,f58c5,b58f58,e58d5
12 26 b1c2a12a1,a121b212121,b12121212a1,e12a12a1,d12a12121,12a1212a12a1,212a12e1,a212e1a2,1a2e1b2,2h1a2,d12b1212,c1212b121,b1212e1,a1212f1,a1a2c12b1,1212b121212,a12d12121,f12b12,a1a2a1212b1,1f2a121,1b21b21212,2121212b1a2,1212b12a121,b12a1212a12,a12121a2a121,b121212b12
dataset=shape group=shape3x3_histogram_diamond4 image_width=medium image_height=large
Simon-Image-Scale, Recognize the transformation. x3up_y1,x4up_y1,x4down_y5up,x5up_y1,x2up_y1
20 5 c6c8g6c5,c9g5g6,c9g0g5,c3c6c5g0,c3c5c7c5c6 5 25 68a65,,,,,9a5a6,,,,,9a0a5,,,,,365a0,,,,,35756,,,,
x3up_y1=0,x4up_y1=0,x4down_y5up=1,x5up_y1=0,x2up_y1=0
dataset=scale group=recognize_transformation image_width=medium image_height=small scalex=down4 scaley=up5
SimonsImageShape find shape3x3opposite bit 0
26 28 47a4547b4545j464,47a45457c4a7a47b4c6a4,e47e4a7a4b647a454,b4a5c45b4c65f45,i4b67a457f45,5d4c6a47g47c4,7a45a67b45a45k4,54745a47a457b475d45a45,45b47475b45a47f47a4,d45a47d47a45g4,a47i45i457,4545a457a47c47a4747b454,h457c474a7c4a74,i45a45f47c4,d47c45457j45,b475a457a4545a45a45b47a4,45a45g4a7f45a45,d475c457f45b475,g47475a475g454,b45g47l4,57b45p47a4,5747m45457c4,475b4747d45b45a454a74,l45k4,45f4a7a47b45f45,c45h47454a5e4,d47a4745b47j4,d45e47g454a74
26 28 0,010a1010b1b0a1b010a1010,01a0101a0b1e0b1d0,0e101c01b01b0101a0,0b1d01a0a1d010c10,01c0b101c0a1a0e10,a010a1d0a1b0d1a01a0,a0a1c0e10f10a10,a01b01a0a1b0a1a0d1010,b0b101a0a1a0a10e1010,010a1a0f1a01b0b1010,0a10c1a0c101a0c1a010,01010a1b01a0b10a1b0b10,0b10c1c0b101a0c1a0,01a0a1a0a1b01a0a10e10,0a10a10c1c0e10a1a0,0f1d010a101a0a1b0,010a10101a0a1b0h10,010b1a0b1b0f10b10,0b10c101a0a1a0d10a10,01010g10b101a0c10,010a1b0d10b10a101c0,b010f10e101a0a10,01a0b1a0b10a1a0a10a101a0,0a10h1b01a0e10,01010a101b01a0b10e10,0b1a0d10b101010a1a010,0
dataset=shape group=shape3x3_opposite image_width=large image_height=large
simonsolvev1 predict image for O2T
I0 6 5 2120a8,a0a8a2,a602a0,1062a0,0202a0 O0 5 5 21208,a0a82,a6020,10620,02020 I1 5 6 2,,73b2,27b2,,a27a2 O1 4 4 2,73a2,27a2,a272 I2T 6 4 161b6,6,a3c6,61c6 O2T None
4 4 1616,6,a3a6,61a6
dataset=solve_compress group=compressxy predict=image image_width=small image_height=small task_pixels=a
Simon-Solve-V1 predict image for 'O3T'
I0 2 2 21,2 O0 10 2 21a21a21a2,b21d21 I1 2 3 2,62,69 O1 10 3 a269c269,626a2a6262,69a29a69a2 I2 3 2 a41,1a4 O2 15 2 a4a1a41c4a1a4,1c41a4a1c41 I3T 2 3 61,5,78 O3T None I4T 3 2 a39,5a1 O4T None
10 3 61781a6178,5,78618a7861
dataset=solve_symmetry group='create_symmetry hstack(orig flipy flipx orig flipy)' predict=image image_width=medium image_height=small task_pixels=a
SimonsImageScale, Recognize the transformation between input and output. x5up_y1,x4up_y1,x2up_y1,x6up_y6up,x3up_y1
2 5 50,53,80,0,80 12 30 e5e0,,,,,,e5e3,,,,,,e8e0,,,,,,0,,,,,,e8e0,,,,,
x5up_y1=0,x4up_y1=0,x2up_y1=0,x6up_y6up=1,x3up_y1=0
dataset=scale group=recognize_transformation image_width=small image_height=small scalex=up6 scaley=up6
SIMONSARCIMAGESCALE scalex=up4
6 27 9,,,,,,,,,,,,,,,,,,,,,,,,,,
24 27 9,,,,,,,,,,,,,,,,,,,,,,,,,,
dataset=scale group=scale_input image_width=small image_height=large scalex=up4 scaley=down1
simon-solve-version1 'O3T' predict the image
I0 7 10 c59a5,3b5959,13597a5,5359585,5139585,95a1845,51a68a5,a658b5,b58595,598c5 O0 7 10 598c5,b58595,a658b5,51a68a5,95a1845,5139585,5359585,13597a5,3b5959,c59a5 I1 10 5 a8e161,15b8a16a1,b1a5a8b1,d15c1,1 O1 10 5 1,d15c1,b1a5a8b1,15b8a16a1,a8e161 I2 5 3 6a474,4a574,b9a5 O2 5 3 b9a5,4a574,6a474 I3T 3 1 1a6 O3T None I4T 1 9 5,,,4,2,4,7,2, O4T None
3 1 1a6
dataset=solve_rotate group=flipy predict=image image_width=small image_height=small task_pixels=a
SIMONSOLVEVERSION1 'O3T' predict the image
I0 1 2 2, O0 2 1 2 I1 2 10 0,28,,38,08,,20,30,0,2 O1 10 2 2b0d80,2032a03a20 I2T 10 8 272757a525,070270a102,07a258a105,a728b1a25,b27291727,074b29520,7074712905,72574a7252 O2T None I3T 8 7 5a75a757,7b5a757,5a0a5757,b702b5,a7527a35,a7275a73,7b4c1 O3T None
7 8 13a5b7,173c5,1735b7,15725a7,4720b5,4257057,4b7057,c7575
dataset=solve_rotate group=flipb predict=image image_width=small image_height=small task_pixels=a
SIMON-SOLVE-VERSION1, 'O5T', predict the image
I0 7 4 9a23589,a9a8389,9a893a9,8c939 O0 4 7 b98,2989,2a89,38a9,5a39,a893,9 I1 4 1 a1a8 O1 1 4 1,,8, I2 1 1 4 O2 1 1 4 I3 1 6 0,,9,2,, O3 6 1 a09b2 I4T 6 9 50a505,b5a05,5b050,050505,0,5c05,5b050,5,050b5 O4T None I5T 9 5 a080a8585,0a8b08a0,080508050,058b0808,08b0b80 O5T None
5 9 0,0a858,a8080,a05a0,8c0,80808,580a8,80508,5a080
dataset=solve_rotate group=flipa predict=image image_width=small image_height=small task_pixels=a
SIMONSARCIMAGEMASS max mass 5, connectivity 8
20 19 9,,,,,,,,,m92d9,k9a2e9,j92g9,i92h9,g9a2i9,f92k9,9,,,
20 19 0,,,,,,,,,,,,,,,,,,
dataset=mass group=max_mass image_width=medium image_height=medium connectivity=PixelConnectivity.ALL8 max_mass=5
simonsolvev1 'O5T' predict the image
I0 8 6 a81d8,,7a5d8,8a7d8,b8a79a8,d89a8 O0 8 6 a89d8,a89a7b8,d8a78,d8a57,d81a8, I1 6 1 b4252 O1 6 1 252b4 I2 1 2 4,9 O2 1 2 9,4 I3 2 4 9,,09,9 O3 2 4 9,90,9, I4T 4 6 a184,8a14,b07,a171,1, O4T None I5T 6 3 b95a9,a04b8,9 O5T None
6 3 9,b84a0,a95b9
dataset=solve_rotate group=rotate_180 predict=image image_width=small image_height=small task_pixels=a
SIMONSOLVEVERSION1 predict image for O3T
I0 8 9 a91a9197,e9a7,91b9797,c97a97,b971979,917b979,f59,9,b91c9 O0 8 9 c91b9,9,9f5,97b9719,97917b9,7a97c9,797b919,a7e9,791a91a9 I1 9 9 f515,c57a515,c57a315,c573015,a5a6730a5,a527851a5,a297b9a5,b57d5,5 O1 9 9 5,d57b5,a5b979a2,a515872a5,a5037a6a5,51037c5,51a37c5,51a57c5,51f5 I2 9 4 696916b9,9b69a196,a6a973269,c3b496 O2 9 4 69b4c3,96237a9a6,69a19b69,b9619696 I3T 4 2 a4a3,0189 O3T None
4 2 9810,a3a4
dataset=solve_rotate group=rotate_180 predict=image image_width=small image_height=small task_pixels=a
Simon-Solve-Version1 predict image for O3T
I0 5 8 b363,,a36a3,3,636a3,36b3,,3 O0 8 5 c36b3,d3a63,a3636b3,a6e3,3 I1 8 8 a082a070,8a029870,08028908,b02a093,07087803,83787808,0807a080,8d080 O1 8 8 08b0808,a0807380,8c07a0,c2a870,0980a7a0,0890a8a0,a709a0a8,a08a38a0 I2 8 2 a2a7b56,c4a062 O2 2 8 24,,74,,50,,56,62 I3T 2 5 59,52,58,51,59 O3T None I4T 5 5 09a19,91914,0a191,09a40,10a10 O4T None
5 2 5,92819
dataset=solve_rotate group=flipa predict=image image_width=small image_height=small task_pixels=a
simon-histogram minus
3:1091,4:904 1:1536,7:1271,8:1234,6:232,2:56
3:1091,4:904
dataset=histogram_two group=subtract histogram_size=d
unique colors in Simon-ARC-Histogram
7:886 7:1212,2:1096,6:547,9:463,5:45,8:30
2,5,6,7,8,9
dataset=histogram_two group=unique_colors histogram_size=d
Rotate CounterClockwise simons-arc-image
8 22 9a089298,c96298,08286282,09286b8,a8286892,28086289,a2826792,82a867a8,28a90628,8a2026a0,a9828680,a8b2628,d8690,08282708,89807282,a2972828,2807a208,08789808,87b2828,70a280a8,20b82a9,82a98202
22 8 a828292a8a08082d892,a9a8989820829082a02890,b2a82a7d67282a80a2,9f60282827a292b8,89c82890a2a80a78a289,09b20a89282828907a289,0989a8a2829b892a87a02,a9a08a28289a808a208728
dataset=image_deserialize group=rotate_ccw image_width=small image_height=large
Simons-ARC-Image-Scale scalex=down2 scaley=down5
6 25 a6c3,,,,,a5a6a2,,,,,a6a2a5,,,,,a6a2a6,,,,,c5a6,,,,
3 5 6a3,562,625,626,a56
dataset=scale group=scale_input image_width=small image_height=large scalex=down2 scaley=down5
SIMONSCELLULARAUTOMATON, HighLife wrap=no. steps=1. alive=0. dead=4.
17 5 l4b04,a0n4,b0c40e4040,c0h4c0,b40h4a040
17 5 m40a4,040i40b4,b40h4a040,0a40k40,4040h40a40
dataset=cellular_automaton group=highlife_nowrap ca_step=1 image_width=medium image_height=small
Simon-ARC-Image-Mass identify places where max mass is 6, connectivity 4
4 19 7687,8687,76a7,7637,7636,8639,8697,7697,,7607,,8697,7690,7679,76a7,26a8,72a7,82a7,b87
4 19 10a1,,,,,,,,,,,,,,,,1,,
dataset=mass group=max_mass image_width=small image_height=medium connectivity=PixelConnectivity.NEAREST4 max_mass=6
Simon-ARC-Image-Mass identify places where max mass is 2, connectivity trbl2
1 16 0,8,0,,8,0,8,0,8,0,4,0,,,8,0
1 16 1,,,,,,,,,,,,,,,
dataset=mass group=max_mass image_width=small image_height=medium connectivity=PixelConnectivity.TRBL2 max_mass=2
Simon-Solve-V1 'O5T' predict the image
I0 6 4 6b301,b6a41,0a4b6,4a0a16 O0 5 4 6a301,a6a41,04b6,40a16 I1 3 3 a26,8a6, O1 3 2 a26,8a6 I2 2 6 76,6,46,,6, O2 2 4 76,6,46,6 I3 6 4 d85,b8a58,8a5b8,5d8 O3 4 4 b85,a858,85a8,5b8 I4T 3 5 5a8,8a0,0,, O4T None I5T 5 2 b1a9,a9a19 O5T None
4 2 a1a9,9a19
dataset=solve_compress group=compressxy predict=image image_width=small image_height=small task_pixels=a
simons-arc-image-symmetry Symmetry 2x2(flipy orig orig orig)
9 21 8,,,g82,,,f892,,,,f828,,e8929,,e8928,,e81a8,8,,,
18 42 8,,,p82,e81i82,e892h82,e892g892,e8929f892,,f82g892,f82g828,f892f828,f892e8929,,f892e8928,g82e8928,g82e81a8,g82h8,8,,,,,,g82g82,,,f892f892,,,,f82g828,,e8929e8929,,e892f8928,,e81g81a8,8,,,
dataset=symmetry group=symmetry image_width=small image_height=large instruction_sequence='2x2(flipy orig orig orig)'
Simon-Solve-Version1 'O3T' predict the image
I0 8 5 85a87804,5a65a041,850a6a18,a50816a5,b805858 O0 8 5 5a878048,a65a0415,50a6a1a8,50816b5,a80585a8 I1 5 7 41481,4a184,a4814,43741,49347,a97a4,b464 O1 5 7 14814,a18a4,481a4,37414,93474,97a49,a46a4 I2 7 6 d171,e10,75a1209,714a507,7a92471,9171751 O2 7 6 c17a1,d101,5a12097,14a50a7,a924717,1717519 I3T 6 5 a64b6,8a4346,6a8384,b4236,a6a438 O3T None
6 5 64c6,a43468,a83846,a42364,6a4386
dataset=solve_translate group=translate_xminus1 predict=image image_width=small image_height=small task_pixels=a

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
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