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simon-arc-combine-v81

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Simons-ARC-Image-Scale scale-x up by 7, scale-y down by 5
1 5 8,,,,
7 1 8
dataset=scale group=scale_input image_width=small image_height=small scalex=up7 scaley=down5
Simon-Solve-Version1, 'O5T', predict the image
I0 2 4 60,,36, O0 10 2 d6d0,d3d6 I1 1 12 3,,7,,,,0,,,,7, O1 5 6 3,7,,0,,7 I2 3 10 489,,292,,4a6,,4,,a54, O2 15 5 d4d8d9,d2d9d2,d4i6,4,i5d4 I3 3 20 a20,,2a0,,,,020,,050,,280,,,,258,,2,,, O3 15 10 i2d0,d2i0,,d0d2d0,d0d5d0,d2d8d0,,d2d5d8,2, I4T 4 10 9851,,5910,,97a5,,75a7,,5285, O4T None I5T 3 4 8a7,,9a4, O5T None
15 2 d8i7,d9i4
dataset=solve_scale group=x5up_y2down predict=image image_width=medium image_height=medium task_pixels=a
simon-solve-version1 predict image for 'O3T'
I0 4 3 8,a878,a8a3 O0 20 12 8,,,,i8d7d8,,,,i8i3,,, I1 3 3 5,545,5a1 O1 15 12 5,,,,d5d4d5,,,,d5i1,,, I2 3 1 4a3 O2 15 4 d4i3,,, I3T 1 1 5 O3T None I4T 1 4 8,,, O4T None
5 4 5,,,
dataset=solve_scale group=x5up_y4up predict=image image_width=medium image_height=medium task_pixels=b
simon-solve-version1, 'O2T', predict the image
I0 18 10 a2k0c7,g2a5c7a2a1,e2c7a1a2a5a1,a0a1a7a1a5a2a0a2a0,g0a2a0a2c0,a1a5a2c5c2a0a2,a1a8a1a0a2a5a1a0a2,a2a0a8a5a1a5e0,a1i2a0a1a5,a2c0c2a0a2a0a2 O0 9 20 2e0a7,,c25a721,,b2a71251,,017152020,,c0202a0,,152a5a202,,181025102,,208515b0,,1d2015,,2a0a20202, I1 20 4 8,,e8c4i8,i8c4e8 O1 10 8 8,,,,b8a4d8,,d8a4b8, I2T 8 7 a5a8c4,a5a4a2a5,c5a8a3,a8c5a8,e5a8,5,c5a8a5 O2T None
4 14 58a4,,5425,,a583,,8a58,,b58,,5,,a585,
dataset=solve_scale group=x2down_y2up predict=image image_width=medium image_height=medium task_pixels=b
simon-rle-image-pair, number of colors that the two images have in common
11 5 4,f43b4,4,b4a9e4,4 10 6 a9215191a9,92a5a92719,a1a9b1b9,9,1h9,a91b91a91
1
dataset=image_pair group=number_of_intersection_colors image_width=medium image_height=small
Simon-ARC-Image-Shape detect shape2x2 bit 3
3 23 575,,,7a5,8a5,,,,,8a1,415,4a5,,,,,5,,1a5,5,1a5,5,
4 24 b01,1,,a0a1,0b1,1,,,,1a01,0101,10a1,1,,,,0b1,1,0b1,,,,1,b01
dataset=shape group=shape2x2 image_width=small image_height=large
SIMONARCIMAGESYMMETRY make symmetric hstack(flipy flipx orig 180 180)
30 11 7,,x76a9a7,s7b6b9c7,p7b67a9f7,c7a8k7b9h7,d76c8d7b9k7,e76b7b8a9n7,f76a7b9c8l7,g769f7a8j7,7
150 11 7,g769f7a8z7z7z77a8f796r7a8f796g7,f76a7b9c8n7a96z7v76a9n7c8b9a76s7c8b9a76f7,e76b7b8a9r7b9b6z7l7b6b9r7a9b8b76t7a9b8b76e7,d76c8d7b9r7a97b6z7f7b67a9r7b9d7c86p7b9d7c86d7,c7a8k7b9q7b9k7a8g7a8k7b9q7b9k7a8l7b9k7a8c7,p7b67a9r7b9d7c86i76c8d7b9r7a97b6w7a97b6p7,s7b6b9r7a9b8b76k76b7b8a9r7b9b6w7b9b6s7,x76a9n7c8b9a76m76a7b9c8n7a96z7a96x7,z7m7a8f796o769f7a8z7z7p7,7
dataset=symmetry group=symmetry image_width=large image_height=medium instruction_sequence='hstack(flipy flipx orig 180 180)'
SIMON-SOLVE-V1 predict image for 'O3T'
I0 2 3 07,87,0 O0 2 3 0,, I1 3 2 010,a80 O1 3 2 0, I2 2 9 25,56,59,,30,,,0,02 O2 2 9 0,,,,,,,, I3T 9 14 98393b89,a98389a83,93a8a9828,9a8a983a9,398a9b89,838282989,349832b9,948983989,a948c98,a9498b98,a824982a9,a89489898,c94b98,83984c9 O3T None I4T 14 13 b23723b72374,2a42343424a3a4,27a2b72a7a4a9,3a2a4a23c9a7,723723a94a72a7,2a72a73437c2,2734a727a43242,72374a37237a23,37234342423734,a2732b74a7a27,b4234b727247,323232a32a3243,4a273a2727a374 O4T None
9 14 9,,,,,,,,,,,,,
dataset=solve_color group=most_popular_color_same predict=image image_width=medium image_height=medium task_pixels=a
simon-solve-version1, 'O3T', predict the image
I0 6 6 7,a759a7,a579a7,a79a67,7, O0 5 5 7,759a7,579a7,79a67,7 I1 2 5 2,,27,7, O1 2 3 2,27,7 I2 4 3 a1a6,a6a1,1 O2 2 3 16,61,1 I3T 5 6 b353,,,a4353,a3453,3 O3T None I4T 6 2 a12961,b96a1 O4T None
4 4 a353,4353,3453,3
dataset=solve_compress group=compressxy predict=image image_width=small image_height=small task_pixels=a
SIMONSIMAGESCALE, Given two images, recognize the transformation. x7up_y6up,x3up_y1,x2up_y1,x4up_y1
2 2 10,70 14 12 f1f0,,,,,,f7f0,,,,,
x7up_y6up=1,x3up_y1=0,x2up_y1=0,x4up_y1=0
dataset=scale group=recognize_transformation image_width=small image_height=small scalex=up7 scaley=up6
simon-solve-v1 'O2T' predict the image
I0 3 6 a87,,,,, O0 2 1 87 I1 3 2 8,8a4 O1 2 2 8,84 I2T 2 5 62,,27,28,27 O2T None
2 4 62,27,28,27
dataset=solve_compress group=compressxy predict=image image_width=small image_height=small task_pixels=a
Simons-Image-Mass identify places where max mass is 5, connectivity tlbr2
13 13 4a84c8484a8,b8a4b86c8,484d8684a8,a8c4a846b4,b8a4a8485848,e84a59848,8c4a5849848,c85a84a8984,a85a3c48984,8a38b4b89a8,b8a4a8c484,84a84c84b8,48a4e8484
13 13 1,,,,,,,,,,,,
dataset=mass group=max_mass image_width=medium image_height=medium connectivity=PixelConnectivity.TLBR2 max_mass=5
SIMONS-ARC-HISTOGRAM, perform subtraction
7:1317,9:1306,1:1120,4:439,3:154,0:34 4:1495,8:1330,2:1015,3:907
7:1317,9:1306,1:1120,0:34
dataset=histogram_two group=subtract histogram_size=d
SIMONSOLVEV1 'O2T' predict the image
I0 6 4 5316a3,356b3,a064a3,b31a3 O0 5 4 53163,356a3,a0643,b313 I1 4 5 4,,,, O1 1 1 4 I2T 6 4 a98b2,a926a2,0860a2,08c2 O2T None I3T 6 2 0b724,b0705 O3T None
5 4 a98a2,a9262,08602,08b2
dataset=solve_compress group=compressxy predict=image image_width=small image_height=small task_pixels=a
Simon-Image-Scale, Given two images, recognize the transformation. x6up_y5down,x3up_y1,x2up_y1
5 20 a29a2,,,,,209a2,,,,,a9a71,,,,,c21,,,, 30 4 k2e9k2,e2e0e9k2,k9k7e1,w2e1
x6up_y5down=1,x3up_y1=0,x2up_y1=0
dataset=scale group=recognize_transformation image_width=small image_height=medium scalex=up6 scaley=down5
SIMONARCIMAGESHAPE identify places where shape3x3opposite contains bit 1
16 12 a1a4k1,1,c1414a14a14b1,b1414i1,b14k1,b1a4f14b1,b14d1a4d1,c14c14e1,b1a4a1b4e1,c1a4i1,a1414j1,c14j1
16 12 0,a1b010a10a10b1,b1010i1,b1a010a10a10b1,c1a0e10b1,h1a0d1,b10d10a10b1,c10a1a010d1,d10b10e1,a1a0b1b0e1,d10i1,0
dataset=shape group=shape3x3_opposite image_width=medium image_height=medium
Simon-Image-Symmetry Symmetry hstack(flipy flipx flipy flipx flipy)
27 29 b84d8a08a0c834a0d8,c80a80804b8480a8a048a3a8,3a840a80b804b84b8a0b808,a0f84e8048083d8,80e843a83084f84808,08080a8084030f8a0a8080,80a8a4240a80d80d83848,8a08402a80a848403b8a04a808,8a0b820b83a80c8484804a8,a08082b80380c80a804a8308,8a0a8280b8a04804e804a8,a4383248080803b808048a0a84,a80a82080b80b8a083084c8,0a80820848080c80a808404a8,0b8023e803a80408a0a8a0,80302e8080a83a8484a84a8,48402830d80b8a48a034b0,c828040d8480b8a040404,c82804a8a04c80834040838,8a4023d80b8080b80a8038,a832484c8038084b84a0a848,4a82b8084d8303h8,0a82a0a84a080c84a80b8048,b8080c843j80b8,a8083a84830c84b84b8a038,08a4d84a80a8a48384a84843,40a4b848a083c80e80a8,3843a0d840b80b80838040,830a80808080i8a0808
135 29 830a80808080i8a080e8a043c8a08a0d84c830a80808080i8a080e8a043c8a08a0d84c830a80808080i8a0808,3843a0d840b80b80838040a8a384a0a8084b84080a80c83843a0d840b80b80838040a8a384a0a8084b84080a80c83843a0d840b80b80838040,40a4b848a083c80e80b80b8a0b84b840b80a804a8340a4b848a083c80e80b80b8a0b84b840b80a804a8340a4b848a083c80e80a8,08a4d84a80a8a48384a84843d8380840e84f8b08a4d84a80a8a48384a84843d8380840e84f8b08a4d84a80a8a48384a84843,a8083a84830c84b84b8a03a8084f84803a834e80b8083a84830c84b84b8a03a8084f84803a834e80b8083a84830c84b84b8a038,b8080c843j80b8080a8a0f8030480a808080b8080c843j80b8080a8a0f8030480a808080b8080c843j80b8,0a82a0a84a080c84a80b804a8483d80d80a8042a4a8080a82a0a84a080c84a80b804a8483d80d80a8042a4a8080a82a0a84a080c84a80b8048,4a82b8084d8303i80a84a0b830484a80a82048a084a82b8084d8303i80a84a0b830484a80a82048a084a82b8084d8303h8,a832484c8038084b84a0a84b8408484c80a83b802b8a0b832484c8038084b84a0a84b8408484c80a83b802b8a0b832484c8038084b84a0a848,8a4023d80b8080b80a803a803a840a80c80830b82808a08a4023d80b8080b80a803a803a840a80c80830b82808a08a4023d80b8080b80a8038,c82804a8a04c8083404083b840e84084a0b8082a8a0d82804a8a04c8083404083b840e84084a0b8082a8a0d82804a8a04c80834040838,c828040d8480b8a04040a4a8a084080b8308080842383a4c828040d8480b8a04040a4a8a084080b8308080842383a4c828040d8480b8a040404,48402830d80b8a48a034b0c848038a0b80b80802a80a848402830d80b8a48a034b0c848038a0b80b80802a80a848402830d80b8a48a034b0,80302e8080a83a8484a84c840480a80c80808480280a8080302e8080a83a8484a84c840480a80c80808480280a8080302e8080a83a8484a84a8,0b8023e803a80408a0a8c0a8a08040a830e8320b8a0b8023e803a80408a0a8c0a8a08040a830e8320b8a0b8023e803a80408a0a8a0,0a80820848080c80a808404c84a8484a83a8080e8203080a80820848080c80a808404c84a8484a83a8080e8203080a80820848080c80a808404a8,a80a82080b80b8a083084c8b043a08a4b80d803820484a80a82080b80b8a083084c8b043a08a4b80d803820484a80a82080b80b8a083084c8,a4383248080803b808048a0a8a40404a0b8084d804082c8a4383248080803b808048a0a8a40404a0b8084d804082c8a4383248080803b808048a0a84,8a0a8280b8a04804e804b8380404380c84a0a84082d8a0a8280b8a04804e804b8380404380c84a0a84082d8a0a8280b8a04804e804a8,a08082b80380c80a804a830a830a80b8080b80d8320a48a08082b80380c80a804a830a830a80b8080b80d8320a48a08082b80380c80a804a8308,8a0b820b83a80c8484804b84a8a04b8480830c848423b8a0b820b83a80c8484804b84a8a04b8480830c848423b8a0b820b83a80c8484804a8,8a08402a80a848403b8a04a80i8303d8480b82a848a08402a80a848403b8a04a80i8303d8480b82a848a08402a80a848403b8a04a808,80a8a4240a80d80d8384a840b80a84c808a04a8a02a8080a8a4240a80d80d8384a840b80a84c808a04a8a02a8080a8a4240a80d80d83848,08080a8084030f8a0a8080b80j834c8080b808080a8084030f8a0a8080b80j834c8080b808080a8084030f8a0a8080,80e843a83084f8480a83a0b84b84c80384a8380b80e843a83084f8480a83a0b84b84c80384a8380b80e843a83084f84808,a0f84e8048083d83484a84838a4a80a84d8a48b0f84e8048083d83484a84838a4a80a84d8a48b0f84e8048083d8,3a840a80b804b84b8a0b80b80e80c838a084b8a4043a840a80b804b84b8a0b80b80e80c838a084b8a4043a840a80b804b84b8a0b808,c80a80804b8480a8a048a3a80408380b80b804d8a03483c80a80804b8480a8a048a3a80408380b80b804d8a03483c80a80804b8480a8a048a3a8,b84d8a08a0c834a0e808a0i80808080a803c84d8a08a0c834a0e808a0i80808080a803c84d8a08a0c834a0d8
dataset=symmetry group=symmetry image_width=large image_height=large instruction_sequence='hstack(flipy flipx flipy flipx flipy)'
simons-cellular-automaton, Serviettes with wrapx and wrapy. Steps=1. Dead cells have value 3. Alive cells have value 1.
7 6 31a31a3,1a313a1,c13a1,131c3,a31c3,b31b3
7 6 13a13a1,3,c31a3,b3c1,3131b3,3a131a3
dataset=cellular_automaton group=serviettes_wrap ca_step=1 image_width=small image_height=small
simons-arc-image-pair, Histogram B without colors of Histogram A
10 8 92b97a9a7,97a2c9a7,a979a29279,7a97a9a297,7b9a2c7,a972b7979,9a2a79b79,27c9b79 15 7 a959c5959c5,b5959b5a25959,a5959a5a2b59a5,9c5a25959c5,595a25a9e59,5a295a959c595,2a5959c5a9b5
5:66
dataset=image_pair group=b_remove_a_colors image_width=medium image_height=small
simon-solve-version1 predict image for 'O3T'
I0 2 2 47,6 O0 2 2 6,74 I1 2 5 61,51,52,, O1 2 5 25,,,15,16 I2 5 7 a9795,a7958,97549,95409,748a9,740a9,40b9 O2 5 7 b904,a9047,a9847,90459,94579,859a7,597a9 I3T 7 1 0c3a0 O3T None I4T 1 4 9,,, O4T None
7 1 a0c30
dataset=solve_rotate group=rotate_180 predict=image image_width=small image_height=small task_pixels=a
SIMON-SOLVE-VERSION1, 'O4T', predict the image
I0 11 15 6,,,,a6e5a46,,a6a4a5c46,,a6a4c5a46,,6,,,, O0 16 9 n54,k545a4,k54a54,b54f54b54,45a4c545b45a4,4a54c54a5a4a54,b54j54,45a4g545a4,4a54g54a54 I1 7 10 6,,6a5a4a6,,6a4a5a6,,6,,, O1 4 4 b54,a545,54a5,4b5 I2 13 16 6,,,c6a4c5b6,,c6a5a4a5b6,,c6a5c4b6,,,,6,,,, O2 9 16 4g5,54f5,5a4e5,,b54d5,c54c5,c5a4b5,,b54a54a5,c54a545,c5a45a4,,b54a54a5,c54a545,c5a45a4, I3 14 12 6,,,c6a5a4c5a6,,c6a4a5c4a6,,6,,,, O3 16 4 d54i5,c545a4g5,54f54b54a5,45a4c545b45a4 I4T 10 10 6,,6c4c56,,6e5a46,,6a4a5c46,,6, O4T None I5T 11 12 6,,b6a4a5c6,,b6c5c6,,b6c4c6,,6,,, O5T None
16 9 a4a5a4i5,b54b54g5,45b45a4g5,k5a4a5,n54,k545a4,a4e5a4a5a4a5,b54f54b54,45a4c545b45a4
dataset=solve_fractal group=pattern_to_fractal predict=image image_width=medium image_height=medium task_pixels=c
simon-solve-version1 predict image for 'O5T'
I0 2 1 5 O0 14 6 5,,,,, I1 1 1 2 O1 7 6 2,,,,, I2 1 2 7,0 O2 7 12 7,,,,,,0,,,,, I3 2 3 64,42,34 O3 14 18 f6f4,,,,,,f4f2,,,,,,f3f4,,,,, I4T 2 2 42,32 O4T None I5T 2 1 6 O5T None
14 6 6,,,,,
dataset=solve_scale group=x7up_y6up predict=image image_width=medium image_height=medium task_pixels=a
Process SimonsArcRleImage and return the flipb
4 13 6a72,2a70,02a0,2070,2a76,0607,7080,a780,0892,78a0,78a2,08a6,76a0
13 4 06202a076b02,06209a80a70a7,6c8706702a7,70a70a70a2026
dataset=image_deserialize group=flipb image_width=small image_height=medium
SIMONIMAGESCALE, What transformation happens here. x3up_y1,x2up_y1,x4up_y1,x3down_y5up
27 5 e1b0q9,e1b0q1,h5q1,b9b0b1k5e1,b9q1b5b1 9 25 a10e9,,,,,a10e1,,,,,b5e1,,,,,901c5a1,,,,,9e151,,,,
x3up_y1=0,x2up_y1=0,x4up_y1=0,x3down_y5up=1
dataset=scale group=recognize_transformation image_width=large image_height=small scalex=down3 scaley=up5
simon-solve-version1 'O5T' predict the image
I0 5 7 01010,0a101,a0101,5a0a4,15410,a45a1,a04a1 O0 5 7 8,,,,a86a8,8, I1 7 6 d141,,,b16b8,1a68a18,681b68 O1 7 6 8,8b6b8,,86d8,8, I2 6 4 2,8c28,2,4a24a2 O2 6 4 8,8c68,a8a6a8,8 I3 4 7 a128,a184,1874,4231,4a14,1704,1313 O3 4 7 8,a868,8,,,, I4T 4 3 8684,1b8,8a68 O4T None I5T 5 7 a4a02,54827,52487,76a87,7a857,8a487,5b46 O5T None
5 7 8,,,a86a8,86b8,8,
dataset=solve_erosion group=apply_erosion_trbl2 predict=image image_width=small image_height=small task_pixels=a
simons-arc-image-dilation dilation mask NEAREST4
15 11 0a37a0a72d70,a7b3a070b7a07,b737a3707072a7,b723a7a372a707,i6a7207,2b703f727,b70a73e727,a0702703d727,a70a70a73072720,b70d73a70a7,0c707b0c72
15 11 a21a2b131a01a2,c1c23b1b2,a01e3b2a30,a12a4d321321,h2121231,a213a43b1a0231,2a123232c0121,a2c343210a1a2,1a23c2a321323,102a120134121a2,a10b12a1210b1
dataset=dilation group=apply_dilation image_width=medium image_height=medium connectivity=nearest4
SIMONSOLVEVERSION1 predict image for O4T
I0 4 4 81a6,2a18,0218,0281 O0 4 4 1802,8102,a681,1821 I1 4 3 01a8,60a9,8689 O1 4 3 8986,a801,a960 I2 3 1 1a0 O2 3 1 010 I3T 1 7 4,,,,3,,4 O3T None I4T 7 3 a0a6b8,560a303,d3a0 O4T None
7 3 b3a0a3,a6b8a0,0a30356
dataset=solve_translate group=translate_xminus2yminus2 predict=image image_width=small image_height=small task_pixels=a
SimonsArcImageErosion mask when doing erosion lr2
13 19 1717201217270,a707a0702a712,b701a02720a7,20a21a72a0707,b107a170a707,a71b2c1b7,271a2a1072b7,7101072712727,072b72720b7,0121a7a1a2a17,a070b72b127,0171710a27107,b72721a71272,7a1b71210701,0a1b07a17171,7201a01a7b27,a72071a21c7,272a717a20101,021e71b7
13 19 0,,01j0,0,01j0,c01a0a1a010,j010,0,c01e010,0,d01b01b0,0,01j0,c01g0,,i01a0,i0a10,0,c0c1b010
dataset=erosion group=apply_erosion image_width=medium image_height=medium connectivity=lr2
SIMON-SOLVE-V1, O4T, predict image
I0 7 12 2,2a5a7a2,,2c7a2,,2c5a2,,2,,,, O0 8 18 a7a5c7,,c5c7,,7,,,,,,,,a7a5a7a5,,5,,7, I1 10 14 2,,,,,c2a5a7a2,,c2a7a5a2,,2,,,, O1 8 8 a7a5c7,,a5e7,,e7a5,,c7a5a7, I2 10 9 2,,,,2c5a7a52,,2a5e72,,2 O2 32 8 c7a5e7a5m7a5a7,,a7e5a7e5i7e5,,c7a5y7,,a7e5w7, I3 11 8 2,,b2a5c7a2,,b2a5a7a5a2,,2, O3 18 8 a7c5k7,,a7a5m7,,a7c5g7c5,,a7a5i7a5a7, I4T 8 13 2,,b2c52,,b2c72,,b2a5a72,,2,,,, O4T None
8 18 7,,5,,a7a5a7a5,,7,,,,,,,,c5c7,,a7a5c7,
dataset=solve_fractal group=pattern_to_fractal predict=image image_width=other image_height=medium task_pixels=c
SimonsImageMass identify places where max mass is 3, connectivity 4
3 11 628,678,672,6a2,,627,,,272,,
3 11 0a1,,010,0,,a01,,,1,,
dataset=mass group=max_mass image_width=small image_height=medium connectivity=PixelConnectivity.NEAREST4 max_mass=3
SIMON-SOLVE-V1 'O2T' predict the image
I0 8 6 a3634a63,b643636,a36432a3,36432363,67a2c6,32b63a6 O0 8 6 7,,,,e727,7 I1 6 4 a45b2,b45a4,c454,4 O1 6 4 7,72c7,7a2b7,7 I2T 4 4 3464,3634,7b3,b35 O2T None I3T 4 7 0,,a076,0540,4540,56a0,6060 O3T None
4 4 7,,a727,7
dataset=solve_erosion group=apply_erosion_nearest4 predict=image image_width=small image_height=small task_pixels=a
Rotate CounterClockwise simons-arc-image
8 7 2f6,,,,,,6
7 8 6,,,,,,,e26
dataset=image_deserialize group=rotate_ccw image_width=small image_height=small
SIMONARCIMAGESYMMETRY make symmetric hstack(orig flipy)
10 24 65a659c5,5a965a6565,59359c56,3536e5,6a59b5939,c56a5695,653b53656,5a96a3c5,a53a5a6b5,a365a6c5,b56a59b6,53d5a95,59b5636a5,6c5a6595,965956a596,c5959b5,6a595a6535,659b656a5,6a53b5695,36c5a935,5653a565a6,569a5696a5,96c9a596,b56a56a95
20 24 65a659f56a56a95,5a965a656596c9a596,59359c56569a5696a5,3536f5653a565a6,6a59b593936c5a935,c56a56956a53b5695,653b5365a659b656a5,5a96a3c56a595a6535,a53a5a6f5959b5,a365a6c5965956a596,b56a59c6c5a6595,53d5a9a59b5636a5,59b5636b53d5a95,6c5a659c56a59b6,965956a596a365a6c5,c5959d53a5a6b5,6a595a653a5a96a3c5,659b656a5653b53656,6a53b569d56a5695,36c5a9356a59b5939,5653a565a63536e5,569a5696b59359c56,96c9a5965a965a6565,b56a56a9565a659c5
dataset=symmetry group=symmetry image_width=small image_height=large instruction_sequence='hstack(orig flipy)'
Simon-Solve-Version1 predict image for 'O3T'
I0 10 4 65a7867565,5657b8a75,e76a87,b7575b78 O0 10 4 b7575b78,e76a87,5657b8a75,65a7867565 I1 4 4 a3a7,3,, O1 4 4 3,,,a3a7 I2 4 9 a9a3,a930,2905,9202,9082,a0a9,7929,,72a9 O2 4 9 72a9,7929,,a0a9,9082,9202,2905,a930,a9a3 I3T 9 1 d2c0 O3T None I4T 1 3 6,, O4T None
9 1 d2c0
dataset=solve_rotate group=flipy predict=image image_width=small image_height=small task_pixels=a
SIMON-SOLVE-VERSION1 predict image for 'O5T'
I0 5 2 a1a21,c71 O0 3 2 121,a71 I1 2 5 36,3,03,,3 O1 2 4 36,3,03,3 I2 2 6 50,40,90,,13, O2 2 4 50,40,90,13 I3 2 5 29,,9,92,97 O3 2 4 29,9,92,97 I4T 2 6 50,43,40,51,40, O4T None I5T 6 2 749b2,a9b14 O5T None
5 2 749a2,a9a14
dataset=solve_compress group=compressxy predict=image image_width=small image_height=small task_pixels=a
SIMONSOLVEVERSION1 'O2T' predict the image
I0 10 12 a45a45c4,4a54a5a4a5,4e5454,545a45c4,4c5b4a5,b54b5a45,4a54a5a454,575c43a4,47a4543b5,a57a534545,a57435b45,b43a4a5a4 O0 1 1 7 I1 12 4 424a2642a424,6464624824a2,c4a6262b4,2a4d348a4 O1 1 1 8 I2T 5 10 a8987,,a8978,b878,,a8678,a8783,86783,c86, O2T None I3T 4 14 a898,,,a839,8386,8368,,86a8,8,,b87,a878,,8 O3T None
1 1 3
dataset=solve_color group=least_popular_color_1x1 predict=image image_width=medium image_height=medium task_pixels=a
SIMONSOLVEVERSION1 'O2T' predict the image
I0 3 6 4a3,403,,103,130,a30 O0 3 5 4a3,403,103,130,a30 I1 6 4 9d8,8a9b8,b8a98,8 O1 4 4 9b8,89a8,a898,8 I2T 4 4 a5a7,73a7,37a9,3b7 O2T None I3T 4 6 3,,,,,b23 O3T None
3 4 a57,737,379,3a7
dataset=solve_compress group=compressxy predict=image image_width=small image_height=small task_pixels=a
SIMONSOLVEV1 predict image for O3T
I0 10 9 2,,b259a5b2,b29b5b2,2,,,, O0 4 8 b59,a595,,b59,,a595,59a5,9b5 I1 9 10 2,,,,b274c2,b264c2,,b214c2,2, O1 2 16 41,46,,47,,46,,41,,46,,47,74,64,,14 I2 12 6 2,c28108c2,f21c2,c2a061c2,c206a8c2,2 O2 4 16 a860,16a0,1b2,8018,,1b2,16a0,a860,,16a0,1b2,8018,8108,b21,a061,06a8 I3T 10 7 2,,a21323c2,d26c2,c231c2,b2b3c2,2 O3T None
4 16 b32,13a2,6b2,3231,,6b2,13a2,b32,,13a2,6b2,3231,1323,b26,a231,2b3
dataset=solve_symmetry group='create_rect_symmetry rect vstack(180 flipx 180 orig) padded' predict=image image_width=medium image_height=medium task_pixels=a
simonsolveversion1, O3T, predict image
I0 3 3 0,, O0 1 1 0 I1 2 5 19,15,,12,28 O1 2 4 19,15,12,28 I2T 6 3 a54a54,d54,454b5 O2T None I3T 2 2 4,5 O3T None
1 2 4,5
dataset=solve_compress group=compressxy predict=image image_width=small image_height=small task_pixels=a
Simons-ARC-Image-Mass max mass 2, connectivity topbottom2
17 17 0,,,h01f0,,i01e0,,,,j016c0,j036c0,h0a35d0,f0a3g0,e03i0,c0a3j0,b03l0,0
17 17 0,,,h01f0,,0,,,,i0b1c0,,h0b1d0,f0a1g0,e01i0,c0a1j0,b0b1j0,
dataset=mass group=max_mass image_width=medium image_height=medium connectivity=PixelConnectivity.TB2 max_mass=2
SimonsImageSymmetry make symmetric hstack(flipy flipx flipy)
6 27 b2621,361201,362102,431501,436101,431602,453105,413101,463105,4a2301,426301,465301,45a131,42a131,41a236,46a103,465203,420501,,401202,40a201,25a101,1a5206,205101,0a1506,0a1502,0b151
18 27 0b15a126b20b151,0a15021021630a1502,0a15062012630a1506,20510a105134205101,1a52061016341a5206,25a10120613425a101,40a20150135a40a201,40120210131a401202,42050150136a420501,42050a103a2a420501,46520310362a465203,46a10310356a46a103,41a23613a15a41a236,42a13a13a12a42a131,45a13163a21a45a131,46530130a16a465301,42630130256a426301,4a230a10502a4a2301,46310510502a463105,41310120210a413101,45310510a20a453105,43160210a152431602,436101602a51436101,43150a101502431501,362102605a10362102,361201205a10361201,b262a15b10b2621
dataset=symmetry group=symmetry image_width=small image_height=large instruction_sequence='hstack(flipy flipx flipy)'
SimonCellularAutomaton, Given two images, recognize the transformations. serviettes_wrap,maze_nowrap,maze_wrap
24 18 a31d3c13b13d1a3,h3a1b313b1d3,p3a1d3,p3b1c3,a3a13b1i3a1b31,g1j3a1a31,a1c31p3,f31b31c31f3,e3a1a3b1h3a1,d31d31i313,3,,p31e3,c3a1e3a1i3,c3a1d3b1i3,j3a1c3a1d3,f31a3a1d3b1c3,a31c31a3a1e3b1b3 24 18 h3b1d3c1b3,h3a1d3b1d3,p3a1d3,p3b1c3,a3a13a1j3a1c3,g1o3,a1c31p3,3,j31k3,3,,,,k31j3,j3b1i3,j3a1d31d3,i3a1d3b1c3,i3a1e3b1b3
serviettes_wrap=0,maze_nowrap=0,maze_wrap=0
dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=large image_height=medium
simons-arc-image-dilation dilation mask with connectivity CORNER4
10 3 8989a0b12,290a312b9,4e52a8
10 3 1d21a21,2c4a3a42,1e2121
dataset=dilation group=apply_dilation image_width=small image_height=small connectivity=corner4
SIMONARCHISTOGRAM, intersecting color list
7:1449,9:1299,5:1280,6:1252,8:1168,2:886,0:516,4:360,3:107 3:1276
3
dataset=histogram_two group=intersection histogram_size=d
Simon-Solve-Version1, O3T, predict image
I0 7 7 21b212,c21a2,e21,a212a12,a26b21,b21b2,a2126a2 O0 7 7 c21a2,e21,a212a12,a26b21,b21b2,a2126a2,21b212 I1 7 5 1e8,,4184a68,a4a60a8,8a38a38 O1 7 5 1e8,4184a68,a4a60a8,8a38a38,1e8 I2T 5 5 5,,,, O2T None I3T 5 2 a2542,b352 O3T None
5 2 b352,a2542
dataset=solve_translate group=translate_yminus1 predict=image image_width=small image_height=small task_pixels=a
number of unique colors in SIMONARCHISTOGRAM
5:1512,0:1419,3:1407,2:1379,7:1363,1:1203,6:1154,8:574,4:572 4:896,8:876,5:845,6:828,0:596,7:375,2:352,9:29
10
dataset=histogram_two group=number_of_unique_colors histogram_size=e
Simon-Solve-V1 predict image for 'O5T'
I0 10 7 9,,,,d980b9,d9a0b9,9 O0 10 2 d080808,8a08e0 I1 8 13 9,,,,,b98a3a9,b9531a9,b9636a9,9,,,, O1 15 3 31a61b38658658,e3135e3,85a65863a613613 I2 10 10 9,,e91919,d969a19,f9a19,d9a1919,9,,, O2 20 4 h191919691969,9a1a9a19a1961a9a1a91,1a9a1a9b1b9a1a9a19,969a196919i1 I3 10 14 9,,,,,c98614a9,c981a4a9,c91b4a9,c9c4a9,9,,,, O3 20 4 h416841a841a8,1e41a418a416a416,61c416b41b41b41,a81a41a8k4 I4T 8 11 9,,,b92a0a9,b9a02a9,b9202a9,9,,,, O4T None I5T 7 7 9,95a8b9,957c9,b97b9,9,, O5T None
15 3 89a79b859a59a5,87a978975978978,a5a9a57a9798798
dataset=solve_symmetry group='create_square_symmetry square hstack(ccw flipb flipx cw cw) padded' predict=image image_width=medium image_height=medium task_pixels=b
Simon-Solve-V1, O5T, predict image
I0 12 16 c6g9,,,,,,,,g6c9,,,,c9g6,,, O0 9 16 c6a96a9,,d69a69,b69a69a6,c6a96a9,,d69a69,b69a69a6,f6a9,,g69,e69a6,6a9e6,,a69e6,9g6 I1 16 16 g6g9,,,,g9g6,,,,c6k9,,,,c6c9g6,,, O1 16 16 i6a9a6a9,g6a9a6a9a6,h6b96b9,h69b69a6,a6a9a6a9g6,a9a6a9i6,6b96b9g6,69b69i6,e6a9a6a9a6a9,c6a9a6a9a6a9a6,d6b96b96b9,d69b69b69a6,e6a9g6,c6a9i6,d6b9g6,d69i6 I2 16 8 c6c9g6,,,,g9c6c9,,, O2 16 4 d69i6,c6a969g6,69b69f69a6,a96b969c6a969 I3 16 12 9,,,,k6c9,,,,c9k6,,, O3 16 9 9,b69b69b69b69,9b69b69b69b6,k6c9,n69,k69b6,c9k6,b69k6,9n6 I4T 8 8 c9c6,,,,c6c9,,, O4T None I5T 12 16 c6g9,,,,,,,,6,,,,c9c6c9,,, O5T None
9 16 c6a96a9,,6,b696a969,c6a96a9,,6,b696a969,6,,,,6a9c6a9,,6,969b6969
dataset=solve_fractal group=pattern_to_fractal predict=image image_width=medium image_height=medium task_pixels=c
simon-solve-version1 predict image for 'O4T'
I0 6 7 5,,,,,,5b3a5 O0 6 7 5,5c15,,,,5, I1 7 4 a83c8,23d8,2e8,a6d8 O1 7 4 5,c5a15,b5b15,5 I2 5 8 3,a3a26,a6a38,a3a68,c36,c38,,3 O2 5 8 5,,,,,5a1a5,,5 I3 5 10 1,,14a19,14b1,49b1,6c1,,16a19,16b1,1 O3 5 10 5,,,,b515,,5,,, I4T 10 5 7,,1c71c7,717a1d7,a71f7 O4T None I5T 5 10 a64a6,a6495,b965,84656,34656,935a6,893a6,89b6,8c6, O5T None
10 5 5,a5a1b5a15,f5a15,,5
dataset=solve_outline group=outline_all8 predict=image image_width=small image_height=small task_pixels=a
simon-solve-v1, 'O4T', predict the image
I0 6 3 3,35a6a3,a37b3 O0 5 3 3,35a63,a37a3 I1 5 2 8c9,4a3a9 O1 3 2 8a9,439 I2 2 4 45,64,06, O2 2 3 45,64,06 I3T 2 6 0,,01,0,30,0 O3T None I4T 6 2 2,a2a6a0 O4T None
3 2 2,260
dataset=solve_compress group=compressxy predict=image image_width=small image_height=small task_pixels=a
SIMON-SOLVE-V1 predict image for 'O5T'
I0 8 10 01a01091,a0910919,1a0c30,d0b1,1a091901,907b9a0,b07b09,09071b0,0a317190,90137b1 O0 8 10 0,,,,,,,,, I1 7 9 1c070,a191379,1c309,b03090,9a09a01,093b01,03c09,0309a09,31b010 O1 7 9 0,,,,,,,, I2 9 6 20a1023a0,310310106,2c30160,a13a0a6a2,3a2062b0,310a1a2a0 O2 9 6 0,,,,, I3 6 5 d12,1b4a0,0c10,212a12,d10 O3 6 5 1,,,, I4T 5 7 12b1,02b1,70141,750a1,75402,15210,1 O4T None I5T 7 14 a35a353,9a5a353,45b303,405a093,3a06935,3505935,3150595,3159093,91950a3,9195303,31a35a3,36a3a53,535b35,b35b3 O5T None
7 14 3,,,,,,,,,,,,,
dataset=solve_color group=most_popular_color_same predict=image image_width=small image_height=medium task_pixels=b
SIMONS-ARC-HISTOGRAM, unique color count
1:1167,7:931,4:764,5:669,2:159,8:88,6:80 0:1442,1:1336,4:1259,3:1130,7:241,2:24
9
dataset=histogram_two group=number_of_unique_colors histogram_size=d
Simon-Image-Symmetry make symmetric hstack(180 flipx)
15 6 8a1h89a8,a9c1d891a8,a89a18b1a89b8,c8919a4b1b8,e81a9414b8,h8918a48
30 6 8a4819j89h8a18,b8414a91g819d8c1a9,b8b1a4919f89a8b18a19a8,b89a8b18a19d8b1a4919c8,a819d8c1a9b8414a91e8,a89h8a1a8a4819h8
dataset=symmetry group=symmetry image_width=medium image_height=small instruction_sequence='hstack(180 flipx)'
simon-solve-v1, 'O3T', predict the image
I0 4 5 1,,,a1a7,17a1 O0 3 3 1,a17,171 I1 2 5 78,40,48,40, O1 2 4 78,40,48,40 I2 5 2 8a1a8,b8a1 O2 3 2 818,a81 I3T 2 6 0,,,20,,2 O3T None
2 3 0,20,2
dataset=solve_compress group=compressxy predict=image image_width=small image_height=small task_pixels=a
simon-solve-v1, 'O3T', predict the image
I0 5 4 b6a0,6,a60a6,0c6 O0 5 4 b0a6,0,a06a0,6c0 I1 3 13 9,,,1a9,a19,9,,,,919,,1a9,a91 O1 3 13 1,,,9a1,a91,1,,,,191,,9a1,a19 I2 7 3 b7a373,,a7373a7 O2 7 3 b3a737,,a3737a3 I3T 6 10 a565a6,6,,65c6,5c65,b65a6,b6a56,6,a65a65,65c6 O3T None
6 10 a656a5,5,,56c5,6c56,b56a5,b5a65,5,a56a56,56c5
dataset=solve_color group=swap_colors predict=image image_width=small image_height=medium task_pixels=a
simon-solve-v1 predict image for 'O3T'
I0 11 17 5,,,d507a0a5,,d57b0a5,,d5a0a7a5,d5a7a0a5,d5c0a5,,d5a7a0a5,d5a0a7a5,d5c0a5,,5, O0 4 4 07a0,,7b0, I1 6 10 5,5a4b5,549b5,5a4b5,549b5,5a4b5,594b5,5,, O1 2 2 4,49 I2 11 14 5,,,,,c5a0d5,c504d5,c5a0d5,c504d5,c5a0d5,c540d5,5,, O2 2 2 0,04 I3T 11 16 5,,d5a8c5,c5a21c5,c5656c5,d526c5,c582d5,c5816c5,c562d5,d528c5,c5618c5,5,,,, O3T None I4T 8 11 5,,,,b538b5,b523b5,b532b5,b583b5,b523b5,b538b5,5 O4T None
3 3 5a8,a21,656
dataset=solve_symmetry group='extract_square_tile square vstack(orig flipa cw) padded' predict=image image_width=medium image_height=medium task_pixels=b
Simon-ARC-Image-Shape find shape2x2 bit 1
15 17 17b1a61060a6a1,60a61761f6,6a16a171601b61,1a61617167b676,767b607b60a60,6b1b676d41,6107b61a761407,7c161676a7406,060606a10a74606,1607c61746a16,c617a061a7a61,0617a61a60b706,17c606a01a7a6,6106106b16a7a6,671616106160717,161616016161a76,676a161c6a076
16 18 b0a101d01010,b01d0e10,a01a01e0a1a0,a01g0a1b0,c0a1b0a1a01a0,a0a10a1b0c1a0,d0a1a01e0,a0b1e01c0,f01a01d0,d0b1d01a0,0b1b01b0101a0,d01a01a0a1b0,b0b1b01a01010,g0a1a01010,0,l01a0,c01b0b101b0,1
dataset=shape group=shape2x2 image_width=medium image_height=medium
simon-image-dilation mask when doing dilation corner4
15 6 b7b5a63c5a7,5a75a6b5b3575,a7a6a57a5975757,a75b7a567457a5,5b79b65e7,7a9a6c57c57
15 6 0a12e121210,a1c2132a34b1,0a2a3a2124b3a1,02c3a23143131,b234b314234a2,0b21a2121a2120
dataset=dilation group=apply_dilation image_width=medium image_height=small connectivity=corner4
SIMONARCIMAGEMASS identify places where max mass is 7, connectivity tb2
15 19 a98d9798c9,f917b9689,e9617e9,b9a69167a92b9,c969197a92b9,698a9197b928a9,8a981a979587289,68691a979597269,6a91b97a9572a9,b91b97a8592a9,961c976959729,981a9a876956729,61684a97b95729,a98b6479895726,96a9867b695792,c9687964b682,d9876a9a45a6,e9798b94a9,c9a87b969b6
15 19 m10,,,,,f10e10,,,,,,,,f10f1,1,,,,
dataset=mass group=max_mass image_width=medium image_height=medium connectivity=PixelConnectivity.TB2 max_mass=7
simon-solve-version1 predict image for O2T
I0 1 13 5,4,,,,,,,,,,8, O0 1 13 4,,,,,,,,,,,, I1 13 2 e0d5a0,0 O1 13 2 0, I2T 2 12 8,28,24,21,,61,,6,68,,,8 O2T None
2 12 8,,,,,,,,,,,
dataset=solve_color group=most_popular_color_same predict=image image_width=medium image_height=medium task_pixels=a
Simons-ARC-Image-Mass identify places where max mass is 5, connectivity topleftbottomright2
14 11 1431a3b121282,131324b131851,1214b16428451,a12b16918a151,a1657361814152,2163759314a153,141674a9a31451,4246371219a341,3b167a3413b1,a14367121312a4,a14137a1212123
14 11 1,,,,,,,,,,
dataset=mass group=max_mass image_width=medium image_height=medium connectivity=PixelConnectivity.TLBR2 max_mass=5
SIMON-SOLVE-VERSION1 predict image for 'O4T'
I0 8 3 76a7a6a7,6b7a6a7,76b79a7 O0 8 3 6,a60d6,6 I1 5 6 a9a29,2a929,9,a29a2,b929,29292 O1 5 6 6,,a60a6,6,, I2 5 7 42b4,426a4,a42a4,,a4864,b484, O2 5 7 6,,,,,60b6,6 I3 7 8 b167a1,716a1a7,1,1617b1,917b17,9e1,e17,17b171 O3 7 8 6,,c60a6,d606,c60a6,b6b06,a6b0a6,6 I4T 7 7 b6a9a6,69624a6,a620b6,b43696,6434369,643c6,63a69a6 O4T None I5T 5 4 878a7,a8b7,c78,78787 O5T None
7 7 6,,,,,d606,6
dataset=solve_erosion group=apply_erosion_nearest4 predict=image image_width=small image_height=small task_pixels=a
Simon-Solve-Version1, O5T, predict image
I0 1 3 0,8,5 O0 4 12 0,,,,8,,,,5,,, I1 3 2 3a5,734 O1 12 8 c3g5,,,,c7c3c4,,, I2 2 1 1 O2 8 4 1,,, I3 1 2 0, O3 4 8 0,,,,,,, I4T 2 5 92,62,85,28,12 O4T None I5T 5 3 c27,2b62,2 O5T None
20 12 o2c7,,,,c2k6c2,,,,2,,,
dataset=solve_scale group=x4up_y4up predict=image image_width=medium image_height=medium task_pixels=a
SIMONARCRLEIMAGEPAIR, number of colors that the images have in common
18 1 f1b3a9b1b6 1 9 7,,1,,,,0,,1
1
dataset=image_pair group=number_of_intersection_colors image_width=medium image_height=small
SIMONSOLVEVERSION1 predict image for O2T
I0 5 3 81a80,a8a08,a0a51 O0 4 3 8180,a808,a051 I1 3 5 a17,a79,591,,5a1 O1 3 4 a17,a79,591,5a1 I2T 3 5 2a8,828,242,,4a8 O2T None
3 4 2a8,828,242,4a8
dataset=solve_compress group=compressxy predict=image image_width=small image_height=small task_pixels=a
simon-solve-v1, O2T, predict image
I0 6 3 5a7b9,7a6187,8671a7 O0 6 3 5,, I1 5 2 76717,8a617 O1 5 2 8, I2T 2 5 57,,5,75,9 O2T None
2 5 9,,,,
dataset=solve_color group=least_popular_color_same predict=image image_width=small image_height=small task_pixels=a
simons-image-erosion erosion mask all8
7 20 6,,c67a6,c61a6,,c6146,,,,,,c6415,,,,,c6a15,c6a16,d616,
7 20 0,0a1c0,,,,,,,,,,,,,,,,,,0
dataset=erosion group=apply_erosion image_width=small image_height=medium connectivity=all8
Simon-Solve-Version1, O4T, predict image
I0 8 10 7,,,,a7209b7,a7929b7,a7a92b7,7,, O0 3 9 902,929,2a9,a92,029,2a9,209,929,a92 I1 7 10 7,,71a0b7,7012b7,7401b7,7,,,, O1 3 9 a01,210,104,021,010,104,1a0,012,401 I2 5 11 7,,,,70a97,7a057,78757,7,,, O2 3 9 a90,5a0,578,9a5,907,a08,0a9,a05,875 I3 7 9 7,,71a8b7,7a14b7,72a9b7,7,,, O3 3 9 a81,4a1,a92,849,819,a12,1a8,a14,2a9 I4T 9 10 7,,,a7983c7,a7a93c7,a7871c7,7,,, O4T None
3 9 389,3a9,178,a31,897,a98,983,a93,871
dataset=solve_symmetry group='create_square_symmetry square vstack(flipx ccw orig) padded' predict=image image_width=small image_height=medium task_pixels=a
SIMONCELLULARAUTOMATA, game-of-life wrap=both. steps=1. live=6. dead=2.
25 6 r62d6,n62h6,,k62k6,j6a2k6,k62k6
25 6 2,,,,,
dataset=cellular_automaton group=gameoflife_wrap ca_step=1 image_width=large image_height=small
SimonCellularAutomaton, What transformation happens. gameoflife_nowrap,maze_nowrap,gameoflife_wrap,maze_wrap
24 23 g4545l4,5a45s4,b4a5d45e4a5d4,h45g45d4,4,c45r4,s45b4,g45g45e4,e45p4,k45j4,4,g45j45b4,s45b4,4,5f45n4,45j45i4,5f45n4,4,b4a5n45b4,m45a45e4,j45k4,a45e45f4a5d4,b45s4 24 23 4,,,,,,,,,,,,,,,,,,,,,,
gameoflife_nowrap=0,maze_nowrap=0,gameoflife_wrap=0,maze_wrap=0
dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=large image_height=large
SIMONSOLVEVERSION1, 'O3T', predict the image
I0 10 6 8,,,,,c8d08 O0 10 6 6,6g16,,,6a1f6,6 I1 6 5 c878,a8a7a8,b89a8,c898,c871 O1 6 5 6,,,61c6,6 I2 6 8 c585,b5a85,b5785,5857a5,b57a5,b57a8,b57a5,8d5 O2 6 8 6,61c6,6,,,61c6,6, I3T 10 10 949b4a914,a91b49414,49e494,b419a4a94,41b4a9b4,9d41494,a4a9c414,9a49c4a9,94194949a4,b41c419 O3T None I4T 7 9 a65c6,4865b6,2862a56,84835a6,8648256,2b6825,d686,5e6,6256562 O4T None
10 10 6,c61d6,6,,,,,,,
dataset=solve_outline group=outline_all8 predict=image image_width=small image_height=small task_pixels=a
SIMONSOLVEV1, O3T, predict image
I0 12 16 g7c2,,,,2,,,,g7c2,,,,c7c2c7,,, O0 9 16 a27a27b2,e7b2,a27a27b2,27a27c2,2,,,,a27a27b2,e7b2,a27a27b2,27a27c2,a27d27,b7b2b7,a27d27,27d272 I1 16 12 g7c2c7,,,,g2g7,,,,c7k2,,, O1 16 9 a27b27f272,a7a2a7e2a7a2,2b72b7d2b7,i27b272,g2a7a2a7a2,h2b72b7,a27l2,a7m2,2b7k2 I2 16 12 g2c7c2,,,,g7g2,,,,g7c2c7,,, O2 16 9 g2a727c2,i2a7c2,i27d2,a72b727g2,a2a7a2a7g2,a27b27h2,a72b727c2a727,a2a7a2a7e2a7,a27b27f272 I3T 12 16 c2c7c2,,,,g7c2,,,,,,,,c7g2,,, O3T None I4T 12 12 c2g7,,,,2,,,,c7c2c7,,, O4T None
9 16 b2727b2,d27b2,,c2a7b2,72a727b2,a27a27b2,,2a72a7b2,72a727b2,a27a27b2,,2a72a7b2,727e2,a27e2,,2a7e2
dataset=solve_fractal group=pattern_to_fractal predict=image image_width=medium image_height=medium task_pixels=c
simon-image-scale scale-y up by 3
22 5 9,,,,
22 15 9,,,,,,,,,,,,,,
dataset=scale group=scale_input image_width=large image_height=small scalex=up1 scaley=up3
SimonImageScale, What transformation happens. x3up_y1,x4up_y1,x5up_y1,x6up_y1,x2up_y1
5 2 a5895,8a585 25 2 i5d8d9d5,d8i5d8d5
x3up_y1=0,x4up_y1=0,x5up_y1=1,x6up_y1=0,x2up_y1=0
dataset=scale group=recognize_transformation image_width=small image_height=small scalex=up5 scaley=up1
SIMON-SOLVE-VERSION1 predict image for 'O6T'
I0 9 5 7b0a1a20,07a060b1,a07e0,0607d0,7g0 O0 9 5 1,,,d1b71,1 I1 8 5 f47,468c47,a40b474,a40a7474,d47a4 O1 8 5 1,c17b1,1,, I2 9 4 b949a0a9,a4f9,g94,9 O2 9 4 1,,b1c7a1,1 I3 10 6 9,,c9a8c9,a9a8a92b9,a8d92a9,g929 O3 10 6 1,1a7c1a71,g171,1,, I4 9 4 58b58b5,f585,a8f5,58e58 O4 9 4 1,b17d1,b1b7b1,1 I5T 7 9 535b35,5,a3d5,a3c53,53a5b3,5b3b5,a535b3,a353b5,353c5 O5T None I6T 10 5 1,e1a6a1,e13b1,,1 O6T None
10 5 1,1c7d1,,1c7b171,1
dataset=solve_outline group=outline_all8 predict=image image_width=small image_height=small task_pixels=b
simonsolveversion1, O3T, predict image
I0 8 9 a73a7b4,473d4,243a47a4,72437a47,4a23a4a7,a424a747,b4a3b4,47423b4,c42b4 O0 8 9 2,,,,,,,, I1 9 7 d26a26,4a2a6c2,b2424a26,b24b2a8,a26a2a8a2,a6b824a2,d82a64 O1 9 7 4,,,,,, I2 7 4 a0268a0,4a12078,07a4a20,d042 O2 7 4 6,,, I3T 12 7 79b74a79797,897a9b40a90,0a80a947a469,079a8947a647,07907a8407a9,0907a6387970,a7a60c9b7 O3T None
12 7 3,,,,,,
dataset=solve_color group=least_popular_color_same predict=image image_width=medium image_height=small task_pixels=a
simonsolvev1, 'O2T', predict the image
I0 8 32 e6a0,,c6a0a6,,,,e6a0,,a6a0c6,,a0e6,,,,a6a0c6,,,,a0e6,,,,a6a0c6,,e6a0,,c6a0a6,,,,e6a0, O0 4 8 a6a0,,a0a6,,,,a6a0, I1 8 32 a0e6,,a6a0c6,,,,a0e6,,c6a0a6,,e6a0,,,,c6a0a6,,,,e6a0,,,,c6a0a6,,a0e6,,a6a0c6,,,,a0e6, O1 4 8 a0a6,,a6a0,,,,a0a6, I2T 32 18 6,,,,,,,,0,,c0c6c0c6c0c6c0c6,,6,,o0o6,,c0c6c0s6, O2T None I3T 32 32 i6c0c6c0i6,,i6e0a6e0g6,,k6a0e6a0i6,,g6a0a6a0a6a0a6a0i6,,i6c0c6c0c6c0a6,,i6e0a6e0a6e0,,k6a0e6a0e6a0a6,,g6a0a6a0a6a0a6a0a6a0a6a0a6,,q6c0i6,,q6e0g6,,s6a0i6,,o6a0a6a0i6,,a6c0k6c0i6,,a6e0i6e0g6,,c6a0m6a0i6,,a0a6a0i6a0a6a0i6, O3T None
8 6 6,,0,,c0c6,
dataset=solve_fractal group=fractal_to_pattern predict=image image_width=other image_height=other task_pixels=d
simon-arc-image-symmetry Symmetry vstack(180 flipy flipy)
9 1 b0a6c0
9 3 c0a6b0,b0a6c0,
dataset=symmetry group=symmetry image_width=small image_height=small instruction_sequence='vstack(180 flipy flipy)'
Simon-Solve-Version1 predict image for O3T
I0 7 3 e54,57a5a45,5b4a15 O0 3 7 5,475,4a5,,145,,a54 I1 3 10 5a7,757,a75,1a7,,,,,,7 O1 10 3 7e1a75,g757,f75a7 I2 10 3 9a50595b9,b9c5b9,95f49 O2 3 10 9,595,495,450,4a5,459,4a5,4a9,,9 I3T 3 2 8,a12 O3T None
2 3 18,,28
dataset=solve_rotate group=rotate_cw predict=image image_width=small image_height=small task_pixels=a
Simon-ARC-Image-Mass identify places where max mass is 4, connectivity corner4
20 11 5303a03013a1c030a1,a03a10a505a05a0175a0,05a013090303a50a7a01,a05a05a0a910507a53a1,50101031a09b70501a0,1a5c0c7971051a05,0510b735317a9515050,05a7h309a0135,1a0a105b03b030a305,e0a3a10313a05303,a15b05350301b0b50
20 11 a1010f1010d1,10b10d1010a10b1,01a0a101010b1a0b10,101a01a0b101a0b101,b1010a10a101a0a1010,c1010b1010b10101,b10b101010b101010,0d101c0c10b1,1a0a10b1b01010c1,e0c1a0a10d1,b1b0b1b01010c1
dataset=mass group=max_mass image_width=medium image_height=medium connectivity=PixelConnectivity.CORNER4 max_mass=4
SIMONIMAGESHAPE find shape2x2 bit 5
27 22 16212a16a18186c1216168161,a68e12182a1261a62189a16,d12a618a14b1a2a1a8196a1,16b1a6c18416161286169b1,1a6c1b6a14612a18a1829a12,a1816a2d14b128c129b1,616b18a16a1461a8c12198a1,a0d3818614a8a12121a89121,a1b016f3d18a189b1,b121a0b18148618e19121,c12a1071214618b1a6a19b1,a1a681a27b1b2616d19181,1818a1617b1261e2169b1,6c18a17a126a1a6c1a29b1,6b12a17b16161a6i1,12a82187a161a6c1616d18,818a12178b18c161218a16a1,62b161a016d181218a12a16,182121b6a0a18d16a1a6121,12a16a168618b161a6c16a28,d1a6e12128a1b6d1,b18f12a6a1612c12b1
28 23 1z0,01b0a10a10a10a1c01a01a010,b0b1g01f01d0,010a10b10a1a01b010101a0a10,c01a01e0a1010101b0a10,c01d0a1a01010b1c01a0,g0a101b010e1b010,n010101d01a0,n0a101f010,01b01i01010a1b01a0,0a101a01e0e1a01b010,0a1b01c01d01b0a1a01a0,01a0a1c0a101g01b010,a010a101a0d1e01b0a10,a0b10d10a1a010b1b0b10,01c01a0d1b0a1010d10,b0101d01a0e1010a1b0,b0a1d01a0c10e10a10,c0101d0a10101010a1a01a0,a0a1c01a01a0a1010b1b01a0,a0a10101a010a1d01g0,0b1b0d1e01b0a10a10,z01
dataset=shape group=shape2x2 image_width=large image_height=large
simons-arc-image-symmetry apply symmetry hstack(flipx orig)
25 8 e0a707c0c707a07a0,c075a0c70d7c0a70,a0a7075b0a72a7a07b07070,a7a05g3c0a7a0b70,a0b75707576a7b0a707a0a7,a0b70f7c0a7a070a7,07g1670e70b7a0,7b0c70c7e070a707
50 8 a07a070c7c070a7k0a707c0c707a07a0,0a7c0d70c7a057g075a0c70d7c0a70,0707b07a0a72a7b0570a7c0a7075b0a72a7a07b07070,0b7a0a7c0g35a0c7a05g3c0a7a0b70,a7a070a7b0a76757075b7c0b75707576a7b0a707a0a7,a707a0a7c0f70b7c0b70f7c0a7a070a7,a0b70e7076g17a07g1670e70b7a0,70a707e0c70c7b0a7b0c70c7e070a707
dataset=symmetry group=symmetry image_width=large image_height=small instruction_sequence='hstack(flipx orig)'
SIMONIMAGESYMMETRY Symmetry 2x2(flipy flipy 180 orig)
23 4 i5a27i5,k57e2c5,k571d5b75,m5a1c6b5
46 8 m5a1c6p5a1c6b5,k571d5b7l571d5b75,k57e2o57e2c5,i5a27s5a27i5,b5c6a1w5a27i5,5b7d517w57e2c5,c5e27w571d5b75,i57a2w5a1c6b5
dataset=symmetry group=symmetry image_width=large image_height=small instruction_sequence='2x2(flipy flipy 180 orig)'
Simons-Image-Shape detect shape3x3opposite bit 3
29 14 97c9a6a90b976a9606b96a967,7a9769b70c967b97a9696b96,i907c90d97e9,a9060d967c97b96a97b967,a9a767j9696d909a7,69096d97f969a7f9,d9a7a97b9609097a96a979a79,79a6g97690a90a960a69769,c96c90c979a696a9690c9,6a7b970b976a96l9,906a906d9697960g97a9,b6g96b9a6b97c96969,7a96c9a7f97d90a97a9,90d90a97a907b970h9
29 14 010a1d0101e01a0101c0,f01b0a1c0101a0b101a0,0g1c0a1010b1010c10,b01a0b1c0a1010101a0101b0,c01a0h10b10b101b0,a01010b1010d101c0d10,0b1d0101b0a101a01a0a1b0,d0e1c01a01b01e0,0a1010a1010a101b0a1a01010a10,c01c01d010j10,g0b10101c0e101a0,01a0e10101c01010a10b10,b010a1c0d1010b101a01a0,010b101a01d01c0f10
dataset=shape group=shape3x3_opposite image_width=large image_height=medium
SIMONSARCIMAGEEROSION mask when doing erosion trbl2
4 4 a902,20a2,a020,b20
4 4 0,01a0,a010,0
dataset=erosion group=apply_erosion image_width=small image_height=small connectivity=trbl2
simons-image-scale, Given two images, recognize the transformation. x2up_y1,x3up_y1,x1_y1
13 21 7k3,,,,,,,7,,,,,,,,,,,,, 26 3 a7w3,7,
x2up_y1=0,x3up_y1=0,x1_y1=0
dataset=scale group=recognize_transformation image_width=medium image_height=large scalex=up2 scaley=down7
simonsolveversion1, 'O4T', predict the image
I0 3 5 a95,,905,901,909 O0 3 5 909,a95,,905,901 I1 5 4 a7149,16a79,464a3,69614 O1 5 4 69614,a7149,16a79,464a3 I2 4 3 83a0,3a72,a1a7 O2 4 3 a1a7,83a0,3a72 I3 3 7 251,a85,a56,896,482,8,2a8 O3 3 7 2a8,251,a85,a56,896,482,8 I4T 7 4 b42412,b42424,4a14824,242a482 O4T None I5T 4 6 4b3,39a3,7134,31a3,a013,a318 O5T None
7 4 242a482,b42412,b42424,4a14824
dataset=solve_translate group=translate_yplus1 predict=image image_width=small image_height=small task_pixels=a
Simon-ARC-Image-Symmetry apply symmetry hstack(flipx flipx orig flipy orig)
28 29 3g0303e03c03c0,03j03m0,0,e03c03e03f030,w03b0,a03x0,f03b03o0,a03h03m03,a03f0b7a0a3i03,f0a3c0e7a3a03c0,j03f0b7e0,h03q0,3k03a0303h0,d03u0,o0303b03d0,z03,q0a3e0a3,c03d03b03k03,a03p0a3e0,k03d030a3e0,k03n0,s03f0,03y0,3f03i03g0,e03n03c03,f03b030a3c03f03,l03d03g0,f03h03a03b030a3,d03f03j03a0
140 29 c03c03e0303g03c03c03e0303g0a3g0303e03c03h03f03j03a03g0303e03c03c0,m03j03n03j03a03j03t03h03a03b030a303j03m0,z0z0z0o03d03z0h0,03f03e03c03f03f03e03c03k03c03e03f03g03b030a3c03f03e03c03e03f030,b03z03z0t03h03n03c03w03b0,x03z03c03x03f03i03i03x0,o03b03v03b03m03b03p03z0e03b03o0,3m03h03a03m03h03c03h03m03s03h03h03m03,3i0a3a0b7f03a03i0a3a0b7f03c03f0b7a0a3i03k03p03f0b7a0a3i03,c03a0a3e7c0a3j03a0a3e7c0a3m0a3c0e7a3a03o03d030a3l0a3c0e7a3a03c0,e0b7f03p0b7f03u03f0b7g03p0a3p03f0b7e0,q03z03q03u03d03b03k03h03q0,h0303a03k03h0303a03k0a3k03a0303z0a3e0b3k03a0303h0,u03z03i03z0u03d03u0,d03b0303t03b0303z0d0303b03t0303b03t0303b03d0,3z03z0z03d03z0u03,a3e0a3q0a3e0a3z0h0a3e0b3k03a0303z0a3e0a3,3k03b03d03c03k03b03d03g03d03b03k03h03u03d03b03k03,e0a3p03g0a3p03c03p0a3p03f0b7g03p0a3e0,e0a303d03q0a303d03w03d030a3l0a3c0e7a3a03o03d030a3e0,n03z03w03p03f0b7a0a3i03k03n0,f03z03z0l03h03h03m03s03f0,y03z03a03z0e03b03p03y0,g03i03f03g03i03f0a3f03i03i03x03f03i03g0,3c03n03e03c03n03k03n03c03w03h03n03c03,3f03c0a303b03f03f03c0a303b03m03b030a3c03f03e03c03e03f03g03b030a3c03f03,g03d03t03d03y03d03z0u03d03g0,a303b03a03h03f0a303b03a03h03m03h03a03b030a303j03t03h03a03b030a3,a03j03f03f03j03f03i03f03j03a03g0303e03c03h03f03j03a0
dataset=symmetry group=symmetry image_width=large image_height=large instruction_sequence='hstack(flipx flipx orig flipy orig)'
Process SimonsArcRleImage and return the transposed
5 1 b1a9
1 5 1,,,9,
dataset=image_deserialize group=flipa image_width=small image_height=small
simon-histogram, perform subtract
5:1430,8:1224,9:1175,1:894,0:748 1:1562,8:1261,4:992,7:848,9:746,5:360,0:295,3:199,6:8
5:1070,0:453,9:429
dataset=histogram_two group=subtract histogram_size=e
SIMONSOLVEVERSION1, O4T, predict image
I0 10 14 262b62a62,6a2b62b6,6a26a26a26,a2a626a2a6,a2b62a626,62b6262a6,a262b6b2,2a6c26a2,262b62b6,c6c2a6,6b26d2,a626262626,26b26a262,a2b6b262 O0 10 14 626b26a26,2a6b26b2,2a62a62a62,a6a262a6a2,a6b26a262,26b2626a2,a626b2b6,6a2c62a6,626b26b2,c2c6a2,2b62d6,a262626262,62b62a626,a6b2b626 I1 7 5 c92a9,2b92a9,9d29,92b929,b2b92 O1 7 5 c29a2,9b29a2,2d92,29b292,b9b29 I2 2 13 7,,,27,7,2,,,7,,,27,2 O2 2 13 2,,,72,2,7,,,2,,,72,7 I3 14 6 b7b0a7a0b70,b70707b07b0,b7070e7a0,a707070a7a0707,a07d07070a7,7a07b0707b07 O3 14 6 b0b7a0a7b07,b07070b70b7,b0707e0a7,a070707a0a7070,a70d70707a0,0a70b7070b70 I4T 8 10 a57a5a75,c5b75,f75,a5b7a57,b5b757,b57b57,5b7c5,c75a75,57a57575,d7b5 O4T None
8 10 a75a7a57,c7b57,f57,a7b5a75,b7b575,b75b75,7b5c7,c57a57,75a75757,d5b7
dataset=solve_color group=swap_colors predict=image image_width=medium image_height=medium task_pixels=b
Rotate cw SIMONARCRLEIMAGE
5 21 3,,7c3,b373,a37a3,3,,,b373,3,,3a7a3,c37,3,c37,37b3,3,,c37,3,
21 5 q37a3,d37b37j3,h37e37c3,k37c37b3,a37b3737k3
dataset=image_deserialize group=rotate_cw image_width=small image_height=large
simon-solve-v1 predict image for O2T
I0 18 3 b02m3,b7a09a40473734674,b3736i873 O0 18 18 b02m3,,,,,,b7a09a40473734674,,,,,,b3736i873,,,,, I1 9 3 1,19c1349,a1e39 O1 9 18 1,,,,,,19c1349,,,,,,a1e39,,,,, I2T 20 3 b1o58,808a17c80b8a09a58,a80b8h6a1a85 O2T None I3T 13 2 c6a47b6a70,a464a64d64 O3T None
20 18 b1o58,,,,,,808a17c80b8a09a58,,,,,,a80b8h6a1a85,,,,,
dataset=solve_scale group=x1_y6up predict=image image_width=medium image_height=medium task_pixels=b
simon-arc-image-shape find shape3x3opposite bit 2
4 19 a7a4,4,4247,42a4,72a4,4284,4a24,,,4a27,,4274,4247,4274,,b47,4,,
4 19 0,01a0,,0,01a0,,0,,,,,,,01a0,a010,,01a0,0a10,0
dataset=shape group=shape3x3_opposite image_width=small image_height=medium
SIMONARCIMAGESYMMETRY make symmetric vstack(180 flipy orig 180 flipx)
24 5 a687868a6b868686a8b686,v36,6a7878a6a8b6e36a868,686a7a6d3f868b6,b684f8d6868b68
24 25 8b6868d6f848b6,b686f8d3a6a7686,86a86e3b6a8a6878a76,6v3,68b6a868686b8a686878a6,b684f8d6868b68,686a7a6d3f868b6,6a7878a6a8b6e36a868,v36,a687868a6b868686a8b686,,v36,6a7878a6a8b6e36a868,686a7a6d3f868b6,b684f8d6868b68,8b6868d6f848b6,b686f8d3a6a7686,86a86e3b6a8a6878a76,6v3,68b6a868686b8a686878a6,,6v3,86a86e3b6a8a6878a76,b686f8d3a6a7686,8b6868d6f848b6
dataset=symmetry group=symmetry image_width=large image_height=small instruction_sequence='vstack(180 flipy orig 180 flipx)'
SIMONSARCIMAGESCALE, What transformation happens. x2up_y1,x1_y1,x5up_y1,x4up_y1,x3up_y1
7 24 32a3635,,,,38a6a36,,,,3623a63,,,,53a6363,,,,6a8a2a3,,,,383a8a3,,, 28 6 c3c2g3c6c3c5,c3c8g6g3c6,c3c6c2c3g6c3,c5c3g6c3c6c3,c6g8g2g3,c3c8c3g8g3
x2up_y1=0,x1_y1=0,x5up_y1=0,x4up_y1=0,x3up_y1=0
dataset=scale group=recognize_transformation image_width=small image_height=large scalex=up4 scaley=down4
Simon-Solve-Version1, O4T, predict image
I0 9 9 0,b02a03a0,2a0203a20,b030b20,0b8a0202,f027,b02a0a20,a02a020a2,c02c0 O0 9 9 c02c0,a202a02a0,0a2a02b0,72f0,202a0b80,0b203b0,0a2302a02,a03a02b0,0 I1 9 7 4c04040,4b048a04,a08048b0,a086484a0,a16b4804,46c18a4,e4a10 O1 9 7 0a1e4,a48c164,408b46a1,a048468a0,b08408a0,4a084b04,0404c04 I2 7 4 a5a3b5,a52c5,52b5a8,5 O2 7 4 5,a8b525,c52a5,b5a3a5 I3 4 4 b51,3a53,a653,3a53 O3 4 4 3a53,35a6,3a53,1b5 I4T 4 9 a1a0,a015,1,,a3a1,5b1,,15a1, O4T None
4 9 a151,,b15,,a1a3,1,,51a0,a0a1
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 8 6 0a3c92,0a9c39,20a96292,9096c9,920b929,b1a92a9 O0 8 6 7,,e767,d76a7,c7a6a7,7 I1 6 5 8,c898,80a898,a8a0a8,8 O1 6 5 7,7676a7,a76b7,76a767,7 I2T 5 8 3,b363,395a3,39a36,34b3,,36b3,3 O2T None I3T 8 8 12a120a1,12120a12,b270b6,12802a51,b2a5212,a1212a12,b121b2,12a12a12 O3T None
8 8 7,b76c7,a76d7,76e7,e767,c7a6a7,c76b7,7
dataset=solve_erosion group=apply_erosion_trbl2 predict=image image_width=small image_height=small task_pixels=a
SimonArcImageSymmetry apply symmetry hstack(orig flipx orig 180)
15 28 2m9,b92e97c9,92f987c9,a9292c987c9,c92b9897c9,f9897d9,2d98a942c9,e98a94d9,d98b947c9,92a98c947c9,b98d974b92,b98c9794c9,a98d97947b9,e9297947b9,b9292a97247b9,g979472a9,2a92b927a947a9,a92d97a947a2,d9297b94792,b8c97b947a9,959c87d979,a95c9c8a979,a9529297a92a872,b959297a92c9,c9597e929,b929572f9,c9257g9,e95g9
60 28 2z99a2u95e9,b92e97g97e92e92e97k9752c9,92f987g978f92a92f987j927592b9,a9292c987g978c9292c9292c987d92e9795c9,c92b9897g9798b92g92b9897g92a979295b9,f9897i9798m9897d927a82a9792925a9,2d98a942g924a98d9a2d98a942d97a9c8c95a9,e98a94i94a98k98a94e97d97c8959,d98b947g974b98i98b947e974b97c9b8,92a98c947g974c98a92a92a98c947c92974b9792d9,b98d974b9a2b947d98e98d974b9b274a97d92a9,b98c9794g9497c98e98c9794e974a972b92a92,a98d97947e97497d98c98d97947d927497g9,e9297947e9749792k9297947e97427a9292b9,b9292a97247e97427a9292e9292a97247e9749792e9,g979472c927497o979472d97497d98a9,2a92b927a947c974a972b92a9a2a92b927a947e9497c98b9,a92d97a947c274a97d92c92d97a947b2b947d98b9,d9297b9479a2974b9792i9297b94792c974c98a929,b8c97b947c974b97c9e8c97b947e974b98d9,959c87d97a97d97c895a959c87d97e94a98e9,a95c9c8a97a97a9c8c95c95c9c8a97d924a98d92,a9529297a92a87a27a82a9792925c9529297a92a872d9798f9,b959297a92g92a979295e959297a92g9798b92c9,c9597e92a92e9795g9597e92d978c9292a9,b929572m927592e929572j978f929,c9257o9752g9257k97e92b9,e95o95k95u92
dataset=symmetry group=symmetry image_width=medium image_height=large instruction_sequence='hstack(orig flipx orig 180)'
simonsolveversion1 predict image for 'O2T'
I0 4 7 35a3,3,,2a32,b32,b30,3 O0 4 7 7,,,,,72a7,7 I1 6 7 3,838b3,3,c838,3c83,a38b3,3 O1 6 7 7,c727,7,,,, I2T 8 6 0d6a4,04a1c4,0b4a1a4,40e4,, O2T None
8 6 7,,,,b7c27,7
dataset=solve_erosion group=apply_erosion_all8 predict=image image_width=small image_height=small task_pixels=a
End of preview. Expand in Data Studio

Version 1

A combination of multiple datasets.

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

Version 2

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

Version 3

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

Version 4

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

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

Version 5

Different random seed.

Version 6

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

Version 7

Using SIMON-SOLVE-V1 everywhere.

Version 8

Same settings. Different seed as usual.

Version 9

Switching from context length 256 to context length 512.

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

dataset_solve_color, image size: 1-13.

dataset_solve_rotate, image size: 1-9.

dataset_solve_translate, image size: 3-9.

Version 10

Same settings. Different seed as usual.

Version 11

Same settings. Different seed as usual.

Version 12

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

Version 13

Same settings. Different seed as usual.

Version 14

Same settings. Different seed as usual.

Version 15

Same settings. Different seed as usual.

Version 16

Added Predict the output image.

Disabled prediction of rows.

Disabled prediction of height.

Verison 17

Same settings. Different seed as usual.

Using the DatasetGenerator and the DatasetItemListBuilder.

Verison 18

Added datasets.

Datasets:

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

Verison 19

Added dataset.

Datasets:

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

Verison 20

Bigger images.

Verison 21

Added dataset. Disabled some datasets.

Datasets:

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

Verison 22

Added dataset.

Datasets:

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

Bigger image sizes.

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

Verison 23

datset_mass.jsonl. increased to max_mass=5.

Verison 24

datset_mass.jsonl. increased to max_mass=6.

Verison 25

different seed.

Verison 26

datset_mass.jsonl. increased to max_mass=25.

different seed.

Verison 27

different seed.

Verison 28

different seed.

Verison 29

different seed.

Verison 30

different seed.

Verison 31

different seed.

Verison 32

different seed.

Verison 33

Disabled some dataset.

Datasets:

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

Verison 34

Enabled all datasets.

Version 35

Regenerated all datasets with new random seeds.

Verison 36

Added dataset dataset_scale.jsonl.

Disabled some dataset.

Datasets:

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

Verison 37

Enabled all datasets

Datasets:

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

Verison 38

Added dataset

Datasets:

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

Version 39

Regenerated all datasets with new random seeds.

Version 40

Added dataset

Datasets:

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

Version 41

Regenerated all datasets with new random seeds.

Version 42

Added dataset. Disabled some datasets.

Datasets:

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

Version 43

Enabled all datasets.

Version 44

Regenerated all datasets with new random seeds.

Version 45

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

Version 46

Regenerated all datasets with new random seeds.

Version 47

Added dataset. Disabled some datasets.

Datasets:

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

Version 48

Enabled all datasets.

Version 49

Bigger max_mass. From 6 to 8.

Version 50

Added dataset.

Datasets:

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

Version 51

Regenerated all datasets with new random seeds.

Version 52

Regenerated all datasets with new random seeds.

Version 53

Regenerated all datasets with new random seeds.

Version 54

Added dataset.

Datasets:

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

Version 55

Added dataset. Disabled most datasets.

Datasets:

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

Version 56

Enabled all datasets.

Datasets:

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

Version 57

Regenerated all datasets with new random seeds.

Version 58

Disabled most datasets.

Datasets:

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

Version 59

Added new datasets.

Disabled most datasets.

Datasets:

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

Version 60

Incremented random seed

Datasets:

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

Version 61

Enabled all datasets.

More padding inside the dataset_solve_fractal.jsonl.

Version 62

All datasets still enabled.

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

Version 63

Disabled several datasets.

Datasets:

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

Version 64

Added dataset.

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

Datasets:

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

Version 65

random seed.

Version 66

Disabled some datasets.

Datasets:

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

Version 67

Disabled some datasets.

Datasets:

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

Version 68

Enabled all datasets.

Version 69

Different random seed.

Version 70

Different random seed.

Version 71

Different random seed.

Version 72

Different random seed.

Version 73

Different random seed.

Version 74

Major update to dataset_solve_symmetry.jsonl.

Version 75

Different random seed.

Version 76

Disabled some datasets.

Datasets:

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

Version 77

Enabled all datasets.

Version 78

Major update to dataset_solve_symmetry.jsonl.

Version 79

Different random seed.

Version 80

Different random seed.

Version 81

Different random seed.
Downloads last month
10
Size of downloaded dataset files:
153 MB
Size of the auto-converted Parquet files:
70.7 MB
Number of rows:
299,991