Datasets:

neoneye
/

simon-arc-combine-v69

instruction stringlengths 18 164	input stringlengths 5 1.77k	output stringlengths 1 3.86k	benchmark stringlengths 48 150
SimonsArcImageMass max mass 1, connectivity tb2	11 6 d1c4a3,d1c3a1,a1b316c1,93a1a6d1,91a6f1,06h1	11 6 d0e1,d0c1a0,a0d1c0,0d1d0,0b1f0,c1f0	dataset=mass group=max_mass image_width=medium image_height=small connectivity=PixelConnectivity.TB2 max_mass=1
SIMON-SOLVE-V1, 'O3T', predict the image	I0 6 4 6,,, O0 1 1 6 I1 3 5 3a2,3,,a34,a35 O1 3 4 3a2,3,a34,a35 I2 5 2 a3b8,a7a47 O2 3 2 3a8,747 I3T 2 6 9,,09,05,51,91 O3T None	2 5 9,09,05,51,91	dataset=solve_compress group=compressxy predict=image image_width=small image_height=small task_pixels=a
Simons-Image-Mass max mass 2, connectivity 8	4 15 1b5,61a5,6515,6b5,56a5,,5,56a5,5,,,,,,	4 15 0,,,,,,,01a0,0,,,,,,	dataset=mass group=max_mass image_width=small image_height=medium connectivity=PixelConnectivity.ALL8 max_mass=2
Simons-Image-Scale scalex=up5 scaley=down7	2 7 4,,,,,,	10 1 4	dataset=scale group=scale_input image_width=small image_height=small scalex=up5 scaley=down7
SIMONCELLULARAUTOMATON, Given two images, recognize the transformation. maze_wrap,gameoflife_nowrap,serviettes_wrap	24 26 d3c8f3838b383,c38c38m3,d3a8p3,g38f3a8e3,38l38a38d3,b38k3838d3,a38t3,b3a8r3,m3838f3,o38f3,q38d3,38c3a8h38e3,f3a8383a8c3a8c3,a8g3838b383838b3,38j38c38d3,3a838g38a3838c38,a38l3a8c3a8,838t3,a3b8i3a838d3,g38h38b383,i38d38f3,g3838i3b8,t3838,38i3a8f3838,l3838e383,838h38h383 24 26 d3c8m38,c38b38n3,d38q3,o3a8e3,n38a38d3,a38m38e3,a3838r3,b38s3,n38g3,n3838e3,p38e3,e3b8g3838c3,a8c3c8a3a8c3a8c3,a8f38a38d38d3,k3a8c38d3,3b8k3838b3a8,a38l3a8c3a8,a38k38f38,3b8l38e3,b38j3a8f3,t3838,h38j3838,s3a838,8j3b8e3838,a8j3a8e3a83,e3a8l3a83	maze_wrap=0,gameoflife_nowrap=0,serviettes_wrap=0	dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=large image_height=large
simonsolveversion1, 'O2T', predict the image	I0 4 3 4654,4565,54a5 O0 20 3 465a465a456a465454a5,4565456a565a45654565,54b54c54a54a54654 I1 3 4 1a2,6a7,636,672 O1 15 4 1a21c2a1a2672,6a76c7a6a7636,63a63a63a63a6a7,67267a27a6721a2 I2T 4 2 4b9,49a4 O2T None I3T 2 3 74,76, O3T None	20 2 4b94e9a4b949a4,49b49c49a49b4b9	dataset=solve_symmetry group='create_symmetry hstack(orig orig flipx orig flipy)' predict=image image_width=medium image_height=small task_pixels=a
SimonsArcImageDilation dilation mask with connectivity tb2	9 12 b0a50510,0a10a1051,8b2b101,813051a05,183c150,183a10b1,13905a101,13905b15,039a1a0a1,5190a1051,a1a0501a0,10515c1	9 12 0g1,1b2a1a21,1b2102a1,121a20212,a10c1a2,0c12021,0d1021,1a0d12,210212b1,2c12121,a12a121a2,0b1010a1	dataset=dilation group=apply_dilation image_width=small image_height=medium connectivity=tb2
SIMONSOLVEVERSION1, 'O5T', predict the image	I0 5 6 0,,c03,a0a30,a3b0,0 O0 5 6 1,1a6a1,1,,, I1 7 10 7,,,e73,7,,e73,79d7,93a7b3,e73 O1 7 10 1,1d61,1c6a1,,,,b1a6a1,1,, I2 10 5 9,g979,f97a9,c9b87a9,c8e9 O2 10 5 1,1d6c1,1a6f1,1, I3 5 5 9,,,, O3 5 5 1,1b61,,,1 I4 8 7 d67a6,0a685676,b650676,c6c1,65e6,6,8f6 O4 8 7 1,,,,,b1c61,1 I5T 5 10 4,,,,,,,,, O5T None I6T 7 8 0,,b06010,0,06c01,0,a01b01,b06a06 O6T None	5 10 1,1b61,,,,,,,,1	dataset=solve_outline group=outline_all8 predict=image image_width=small image_height=small task_pixels=b
SIMON-SOLVE-V1 predict image for 'O5T'	I0 8 2 a8686986,8986c8 O0 8 2 689686a8,c86898 I1 2 3 9,, O1 2 3 9,, I2 3 5 7a8,868,898,,8 O2 3 5 a87,868,898,,8 I3 5 2 10a14,4 O3 5 2 4a101,4 I4T 2 1 56 O4T None I5T 1 1 3 O5T None	1 1 3	dataset=solve_rotate group=flipx predict=image image_width=small image_height=small task_pixels=a
SIMONSOLVEVERSION1, O5T, predict image	I0 6 7 1c71,61a702,716027,7a2027,8a3527,7b327,7c37 O0 6 7 7,,,,,, I1 7 12 a252b5,a24a2a5,252a425,b2a585,a2a5282,52a5285,b2b58,a2a5a28,c5b6,2b6b5,a2c52,a52a5a2 O1 7 12 5,,,,,,,,,,, I2 12 9 c53a583a85,838c585353,5353a5a853a5,d58535928,c53b59253,8a5c192585,5345a29a5a85,3542598b583,34b535353a8 O2 12 9 5,,,,,,,, I3 9 3 01b029a1,b0a3a0a9,1a4c3a0 O3 9 3 0,, I4T 3 10 120,2,,a20,,215,252,,5a2, O4T None I5T 10 4 4b0308b0,04a8c0a6,3a0380a658,a048a3a048 O5T None	10 4 0,,,	dataset=solve_color group=most_popular_color_same predict=image image_width=medium image_height=medium task_pixels=b
simon-solve-version1, 'O3T', predict the image	I0 16 10 3,d3a4c5d3,,d3c4a5d3,,d3e4d3,,d3e5d3,,3 O0 18 32 e4a5c4a5c4,,e4c5a4c5a4,,e4k5,,4,,k4a5c4,,k4c5a4,,k4e5,,4,,,,,,,,,,a5c4a5c4a5c4,,c5a4c5a4c5a4,,5,,4, I1 10 15 3,,,,,c3c5a3,,c3c4a3,,c3a5a4a3,,3,,, O1 8 18 4,,5,,a4a5a4a5,,4,,,,,,,,c5c4,,a4a5c4, I2T 13 13 3,,,,b3a4c5c3,,b3a4a5a4c3,,3,,,, O2T None I3T 8 12 3,,,,3a4a5a43,,3c5a43,,3,,, O3T None	18 8 e4a5a4a5e4,,i4a5e4,,a5a4c5a4a5e4,,c4a5c4a5e4,	dataset=solve_fractal group=pattern_to_fractal predict=image image_width=medium image_height=other task_pixels=c
simon-arc-image-erosion erosion mask TLBR2	10 18 7,,,,,,,,,,,,,,,,,	10 18 0,0g10,,,,,,,,,,,,,,,,0	dataset=erosion group=apply_erosion image_width=small image_height=medium connectivity=tlbr2
simon-solve-version1 'O3T' predict the image	I0 7 7 8282829,21a8298,281a928,a293012,2838209,8239a82,839a268 O0 7 7 9a26a83,8282982,a829821,1a92828,9301b2,3820928,39a8282 I1 7 7 a91b91,464c9,59a6b9,c9a69,d9a0,b9a0a9,9a0b91 O1 7 7 0b9190,1b91a9,4c946,a6b959,a9a6b9,b9a0a9,9a0c9 I2 7 4 98982a5,280a593,c8a39,89a8a08 O2 7 4 a8a0a89,982a598,0a59328,a8a39a8 I3T 4 8 8b0,03a0,0380,0130,0538,50a1,0a10,1080 O3T None	4 8 8010,a080,b03,8a03,3a01,3805,a150,1a01	dataset=solve_translate group=translate_xminus2yplus1 predict=image image_width=small image_height=small task_pixels=a
SIMONSOLVEVERSION1, O4T, predict image	I0 16 6 c6c1g8,,,,, O0 4 1 61a8 I1 4 18 1,,,,,,,,,,,,,,,,, O1 1 3 1,, I2 20 18 k7g4,,,,,,c7g4c9c7,,,,,,g7c1c7c1,,,,, O2 5 3 b7a4,7a497,a7171 I3T 4 12 8,,,,,,6,,,,, O3T None I4T 16 12 3,,,,,,c3c8g3,,,,, O4T None	4 2 3,38a3	dataset=solve_scale group=x4down_y6down predict=image image_width=medium image_height=medium task_pixels=b
simonshistogram, number of unique colors	3:1585,4:1342,1:1088,7:674,6:542,0:209,5:75,2:28 1:1596,5:1304,0:1112,8:1041,4:1005,6:364,9:151	10	dataset=histogram_two group=number_of_unique_colors histogram_size=e
simonsolveversion1 'O5T' predict the image	I0 6 8 d25,b2a82,2a8b2,a21a25,241b2,c2a5,d24,2 O0 6 8 5,a51b5,b51a5,c515,5,51c5,5c15,5 I1 6 3 6d2,9a65a2,b26a2 O1 6 3 5,c515,5 I2 3 6 545,525,825,5,854,5 O2 3 6 5,,,,515,5 I3 6 7 1,1b313,17a1a7,3c13,172b1,127a17,a17b1 O3 6 7 5,,,b5a15,b51a5,c515,5 I4T 6 4 387b3,3d0,b32a5,8a3489 O4T None I5T 4 8 b85,5858,8b5,,a8a5,b97,5a87,5875 O5T None	4 8 5,,51a5,a515,5,,,	dataset=solve_erosion group=apply_erosion_tlbr2 predict=image image_width=small image_height=small task_pixels=a
simonsolveversion1, O3T, predict image	I0 10 6 d0d8,9c8c01,9d05b0,9e0101,e015a0,01g0 O0 10 6 0,,,a0b2d0,b0a2d0,0 I1 5 6 6,,b676,,c67, O1 5 6 0,02b0,,,,0 I2 10 8 d51c5,d5a29a5,c5a26b5,a5a25296a5,a2b5256a5,b54a72165,d542a76,f5a45 O2 10 8 0,0a2f0,0,,,,02g0,0 I3T 8 7 6,,a9e6,60c9a6,e6a7,6b247a6,c6a2a6 O3T None I4T 10 8 e03b0,,f03a0,,g030,b02c030,a02a0b930,0c9d0 O4T None	8 7 0,b0c20,0,,,,	dataset=solve_outline group=outline_all8 predict=image image_width=small image_height=small task_pixels=a
Add two SIMONS-HISTOGRAM together	2:288 8:1401,6:1316,7:958,4:842,0:464,2:341,3:304,5:77	8:1401,6:1316,7:958,4:842,2:629,0:464,3:304,5:77	dataset=histogram_two group=add histogram_size=d
Simons-ARC-Image-Scale scale-y down by 2	29 6 f6c1q6,,i63g1i6,,6u1e6,	29 3 f6c1q6,i63g1i6,6u1e6	dataset=scale group=scale_input image_width=large image_height=small scalex=down1 scaley=down2
SIMONSARCIMAGESCALE, Recognize the transformation between input and output. x2up_y1,x1_y1	15 15 3,,d3d2d3,,d2i3,,d2d4d3,d2d3d7,d5d2d7,d3d2d3,d5d2d3,,d3d2d5,d5d2d5,d3d5d2 3 30 3,,,,323,,,,2a3,,,,243,,237,,527,,323,,523,,,,325,,525,,352,	x2up_y1=0,x1_y1=0	dataset=scale group=recognize_transformation image_width=medium image_height=medium scalex=down5 scaley=up2
SIMONARCHISTOGRAM, histogram-b without colors of histogram-a	8:1592,3:1590,0:1175,9:891,7:878,5:756,4:102,2:80 1:1154,9:988,2:907,3:70	1:1154	dataset=histogram_two group=b_remove_a_colors histogram_size=e
SimonsArcImageShape find shape2x2 bit 4	12 15 e49d4,,e496c4,d4396c4,,d43961b4,e49461a4,e4396414,e439c4,f49c4,e439c4,,f49c4,c45a43c4,d4b5c4	13 16 k01,0d1a0c10,,0c1c0b10,,,0d1a0c10,0d101a0a10,0d1c01a0,0e1a0b10,0d1b0b10,,0e1a0b10,0b10a1a0b10,0d1b0b10,1k0	dataset=shape group=shape2x2 image_width=medium image_height=medium
Simons-ARC-Image-Shape detect shape3x3 bit 6	2 24 48,,,78,,,,,,,84,82,85,84,,,83,84,,,,24,32,34	2 24 1,,01,1,,,,,,0,10,,,1,,10,,1,,,01,0,10,0	dataset=shape group=shape3x3_center image_width=small image_height=large
SIMONSARCIMAGESHAPE find shape3x3 bit 1	13 19 7b2b7e2,7c27b27a27,a7c272a7a27,a27a2a7c2a7,b2725a727272,a2b75a2a7272,a7a2725b72a7,a27b257d2,b272757a27a2,b7b275727a2,27b2725a2a72,a7a27275a7b2,a7e257b2,72a7c25a7a2,b2b7b25b2,272a7c25a72,7f275a27,c7a27272527,72727a2a72527	13 19 0,c1010a10a10,10b1a010c1,b0a10a1a0101,a1a0101010a10,a10101b0c1,c01b0c10,b010b1a01a0,a1a010c10a1,c01c0c1,010a1a010a101,0b1b01c01,c101b0c1,1b0e10a1,0101a0a1b0a1,10b10c1a01,a01a0b101b0,1b0a10a1a0a1,101a01a0d1	dataset=shape group=shape3x3_center image_width=medium image_height=medium
simon-solve-v1 predict image for 'O2T'	I0 9 4 702a1c0,7929c17,0b1d0,a0a63a707 O0 4 9 a7a0,0910,a216,1916,a103,0107,,01a0,0707 I1 4 10 a4a9,4,a394,a932,a492,0424,9024,4124,41a9, O1 10 4 a439409b4,a439a40b1,94939b2a9,9a4a2b4a9 I2T 10 4 09b780b8,1a918b7a8,89e891,80b898098 O2T None	4 10 01a8,b90,79a8,71a8,7b8,8789,07a8,8780,a8a9,a818	dataset=solve_rotate group=flipa predict=image image_width=small image_height=small task_pixels=a
Add these simonhistogram	0:1508,6:1094,7:809,2:223 1:1561,3:1085,0:966,9:900,4:855,2:690	0:2474,1:1561,6:1094,3:1085,2:913,9:900,4:855,7:809	dataset=histogram_two group=add histogram_size=d
SIMON-SOLVE-V1, O4T, predict image	I0 13 1 3b8a753b585 O0 13 4 3b8a753b585,,, I1 4 1 7 O1 4 4 7,,, I2 4 5 3572,27a3,2b3,a3a2,3 O2 4 20 3572,,,,27a3,,,,2b3,,,,a3a2,,,,3,,, I3 17 5 b48b4a148d40,a804b1h40,4a81a40a48b48a48,a8a48c484048b4,a4a848d484a8a4 O3 17 20 b48b4a148d40,,,,a804b1h40,,,,4a81a40a48b48a48,,,,a8a48c484048b4,,,,a4a848d484a8a4,,, I4T 20 2 d4b387a4a747b47,47b3c47f47a4 O4T None I5T 6 3 c7a6,d76,c7a6 O5T None	20 8 d4b387a4a747b47,,,,47b3c47f47a4,,,	dataset=solve_scale group=x1_y4up predict=image image_width=medium image_height=medium task_pixels=b
Rotate Clockwise Simons-ARC-RLE-Image	8 20 a8a3c8,a4c8a3,a83a8384,a8343a48,8a3a84a3,84a83a83,a3a83a83,a384a848,c84a34,8a4848a4,a8a43484,83843b4,43a83838,b8a48a3,b838438,3d848,c434a8,48a48383,38a3b84,d8384	20 8 83a43a84c8a3c848,b84b8a3848a343a848,83a4d8a4c8b383,83a48348a4a84b84a83,b83a84b3a48a383b8,383484a8a483b8a43a8,c84b348434a834838,a43b838c48b38438	dataset=image_deserialize group=rotate_cw image_width=small image_height=medium
SIMONSOLVEV1 predict image for O4T	I0 8 4 b78b78,8,,8b78b7 O0 2 4 7,8,,87 I1 8 2 78137813,31873187 O1 2 2 78,31 I2 8 2 a2a6a2a6,a6a2a6a2 O2 2 2 2,6 I3T 16 2 c6b81c6b81,1b8c61b8c6 O3T None I4T 8 4 a194a194,a14b141,14b14a1,49a149a1 O4T None	2 4 1,,14,49	dataset=solve_symmetry group='extract_tile vstack(orig 180 orig 180)' predict=image image_width=medium image_height=small task_pixels=a
simonsolveversion1, O3T, predict image	I0 19 18 0,,,b0e3e8c0,,,b0b8b3b8b3c0,,,b0b3e8b3c0,,,,,,0,, O0 48 48 e8e3e8e3w8,,,b3b8b3b8b3b8b3z8,,,b8e3e8e3z8,,,,,,q8e3q8e3,,,k8b3b8b3n8b3b8b3b8,,,n8e3q8e3b8,,,,,,e8e3z8b8e3,,,b3b8b3z8b3b8b3b8,,,b8e3z8b8e3b8,,,,,,e8e3z8b8e3,,,b3b8b3z8b3b8b3b8,,,b8e3z8b8e3b8,,,,, I1 11 13 0,a0b3b8b0,,,a0e3b0,,,a0e8b0,,,0,, O1 12 27 b8b3e8,,,8,,,e3e8,,,b8b3b8b3,,,8,,,3,,,8,,,,,,,, I2T 11 12 0,,,a0b3b8b0,,,a0b8b3b0,,,0,, O2T None I3T 16 16 0,,a0b3b8b3d0,,,a0e8b3d0,,,a0e3b8d0,,,a0b3e8d0,,,0, O3T None	27 48 b8b3n8b3b8,,,e3k8e3b8,,,e8b3n8b3,,,b8e3k8e3,,,t8b3b8,,,q8e3b8,,,w8b3,,,t8e3,,,b8b3e8b3k8,,,e3b8e3k8,,,e8b3e8b3h8,,,b8e3b8e3h8,,,b8b3t8,,,e3t8,,,e8b3q8,,,b8e3q8,,	dataset=solve_fractal group=pattern_to_fractal predict=image image_width=other image_height=other task_pixels=d
Simon-Image-Symmetry Symmetry hstack(orig flipx flipx flipy 180)	15 24 9a71e719197,a79a7179719c7,a79b79c71a07,1791b7979d7,e717179a7a1,a79a1d70a707,707079c79a197,a7a17927971a797,b7972f7a1,07192171f7,a7129b71a791a7,a7a919b71719a7,1a97910b71a707,b919197b19797,17a919a719c71,a79a71c7071a7,0a79a717970a917,a7a9a79a71a7970,a9791719b79b7,a7a9c79b7970,1079a7971c797,9b797a19e7,a71079710b70a7,71b7a10179a709	75 24 9a71e71919a79191e71a7979191e71a7971b7a10179a70a90a79710a1b717,a79a7179719g7917971a79e7917971a79c71079710b70c70b70179701a7,a79b79c71a0a7a01c79b79b7a01c79b79a79b797a19k79a179b79,1791b7979i7979b71971d7979b7197a1079a7971c79a79c7179a79701,e717179a7c1a797171e7a1a797171g7a9c79b797a079b79c7a9a7,a79a1d70a70a70a70d7a19b70a70d7a19a7a9791719b79e79b7917197a9,707079c79a19a79a19c797070a79a19c797070b7a9a79a71a797a079a71a79a7a9a7,a7a17927971a79a79a71797297a1b79a71797297a1a70a79a717970a91a71a907971a79a70,b7972f7c1f7279b7a1f7279d79a71c7071c7170c71a79a7,07192171m717129170f71712917017a919a719c7a1c791a791a971,a7129b71a791c719a71b7921c719a71b7921a7b919197b1979a7979b179191b9,a7a919b71719c79171b791a9c79171b791a9a71a97910b71a70a70a71b70197a91,1a97910b71a70a70a71b70197a9170a71b70197a91a7a919b71719c79171b791a9a7,b919197b1979a7979b179191b97979b179191b9a7129b71a791c719a71b7921a7,17a919a719c7a1c791a791a97a1c791a791a97107192171m717129170,a79a71c7071c7170c71a79c7170c71a79d7972f7c1f7279b7,0a79a717970a91a71a907971a79a7071a907971a79a70a7a17927971a79a79a71797297a1a7,a7a9a79a71a797a079a71a79a7a9a7079a71a79a7a9b707079c79a19a79a19c7970707,a9791719b79e79b7917197a9b79b7917197a9a79a1d70a70a70a70d7a19a7,a7a9c79b797a079b79c7a9a7079b79c7a9g717179a7c1a797171e7,1079a7971c79a79c7179a7970179c7179a7970a1791b7979i7979b71971,9b797a19k79a179b79e79a179b79a79b79c71a0a7a01c79b79a7,a71079710b70c70b70179701c70b70179701c79a7179719g7917971a79a7,71b7a10179a70a90a79710a1b71790a79710a1b7179a71e71919a79191e71a79	dataset=symmetry group=symmetry image_width=medium image_height=large instruction_sequence='hstack(orig flipx flipx flipy 180)'
simon-solve-v1 'O2T' predict the image	I0 8 2 0b80b4,06a0b80 O0 2 8 0,68,08,,80,84,,04 I1 2 9 35,37,35,3,03,,,73,7 O1 9 2 a7b0c3,7d3575 I2T 9 4 a23e2,a236d2,236e2,23f2 O2T None I3T 4 5 8325,3b4,4368,4a65,b63 O3T None	4 9 2,a3a2,26a3,a262,2,,,,	dataset=solve_rotate group=rotate_cw predict=image image_width=small image_height=small task_pixels=a
simon-solve-version1 predict image for 'O5T'	I0 6 9 0,,d05,c050,b05a0,a05a30,a0a5a0,a5c0,0 O0 6 9 0,a5c0,a0a5a0,a05a30,b05a0,c050,d05,0, I1 9 9 6c26b2,a2b62a62,b26a2626,2,6b26a262,a2626a2a3,a6c2a62,a2a6a2626,2 O1 9 9 2,a2a6a2626,a6c2a62,a2626a2a3,6b26a262,2,b26a2626,a2b62a62,6c26b2 I2 9 1 2e620 O2 9 1 2e620 I3 1 4 5,,7, O3 1 4 7,,5, I4T 4 5 8506,6845,a856,5a80,5868 O4T None I5T 5 2 c23,3a631 O5T None	5 2 3a631,c23	dataset=solve_rotate group=flipy predict=image image_width=small image_height=small task_pixels=a
SIMONIMAGEMASS max mass 6, connectivity trbl2	17 11 67a176a16717b6a7,1a7676a7a1a71c7,1a7b1a767616a1a7,761c7161a717171,17a6e7b16761,6761d76a7a6167,b7a17161b6761a7,17176b71a7c6a1,17676d761671a7,1a71b71b7a16b7,6b1b7a1a7161b7	17 11 1,,,,,,,,,,	dataset=mass group=max_mass image_width=medium image_height=medium connectivity=PixelConnectivity.TRBL2 max_mass=6
simonsolvev1 predict image for 'O5T'	I0 1 8 1,4,,,0,8,4, O0 1 8 4,,,0,8,4,,1 I1 8 7 a6924b6,a62598a6,62b68a6,c68b6,,6, O1 8 7 b625986,a62b686,d68a6,,6,,b6924a6 I2 7 2 38a7875,38a5858 O2 7 2 838a585,538a787 I3 2 2 7,07 O3 2 2 70,7 I4T 2 7 57,27,23,3,23,3,32 O4T None I5T 7 7 8a484a1,a8b1a4,81d4,a4848a4,a40a4a0,8e4,84b8a4 O5T None	7 7 4a8b14,481c4,b48484,0a40a40,48d4,484b84,18a4841	dataset=solve_translate group=translate_xplus1yminus1 predict=image image_width=small image_height=small task_pixels=a
Rotate clockwise Simons-ARC-Image	20 6 4,e4i9c4,4,,,	6 20 4,,,,,,c494,,,,,,,,,,4,,,	dataset=image_deserialize group=rotate_cw image_width=medium image_height=small
SIMONIMAGESHAPE identify places where shape2x2 contains bit 3	15 18 2b328a3a2a3823,b32c32382a37,a2a373a2a3a8372,a32b32a3d83,3a2f3b273,a23b279a378372,3b27849b323a2,3b23249237c3,3232a3498c3a2,b38b397232373,3a7273209e3,23a2a3209837323,2378b309273232,c3a8209273238,3c2a3042a7a38,a323a730a4b342,323a7320a3c67,a3d202b3b2	16 19 n01,0a1b0b1e01,a01a01b0a101a01,b010a1010a1b01,10c10a1d0a1,01e0a1b0101,0101b0b1a010a1,c1a0a101a01a01,a10a10a1010a1a01,1010a101a0101a01,1c01c01010a1,b010c101010a1,a1a0a10a1e01,01d0f101,1e010a1a0b1,101b0b1b01a01,1b01a01f01,1d0a101d01,n01	dataset=shape group=shape2x2 image_width=medium image_height=medium
Simon-Solve-V1 predict image for 'O5T'	I0 7 6 c05a0,e03,b09130,c09a5,0b8095,a04b09 O0 7 6 5,59d5,,5,, I1 7 3 0791b0,a901b0,a01c0 O1 7 3 5,d595,5 I2 5 10 a87a8,,81878,81b8,,1c8,,8,, O2 5 10 5,,,,b595,,a5a95,,5b95,5 I3 4 9 8,a8a1,8,,,,,, O3 4 9 5,,,5a95,,,,,5 I4 9 6 a39a303a0,a0c3b0,c3a0b3,3030d3,a39c303,b39d3 O4 9 6 5,,,,d59b5,5 I5T 6 10 a38b3,,,,2387a3,2837a3,38a376,383273,38a1a3,31c3 O5T None I6T 10 7 0,f03a0,e03b0,b7c04a0,050c7040,05d0a74,a05f0 O6T None	6 10 5,c595,,5,,,,,,	dataset=solve_outline group=outline_all8 predict=image image_width=small image_height=small task_pixels=b
what are the shared colors between SIMONARCHISTOGRAM	6:1480,9:1254,7:442,5:235 3:1465,8:1405,7:1254,0:1228,1:588,4:567,5:374	5,7	dataset=histogram_two group=intersection histogram_size=e
simonsolvev1 predict image for 'O3T'	I0 1 1 8 O0 6 7 8,,,,,, I1 3 2 310,2 O1 18 14 e3e1e0,,,,,,,2,,,,,, I2 2 2 26,0 O2 12 14 e2e6,,,,,,,0,,,,,, I3T 3 2 836,3 O3T None I4T 2 1 92 O4T None	18 14 e8e3e6,,,,,,,3,,,,,,	dataset=solve_scale group=x6up_y7up predict=image image_width=medium image_height=medium task_pixels=a
SIMONIMAGEDILATION mask when doing dilation tb2	3 6 293,2a7,263,6,6a3,a13	3 6 0a1,0a2,a12,,121,a10	dataset=dilation group=apply_dilation image_width=small image_height=small connectivity=tb2
SimonImageMass max mass 1, connectivity 8	16 6 8b98c1b89191,a1e918919191,1c98b3879c1,a91a9a1791894b1,g974891491,a9191a91978c49	16 6 1b01j0,0,d01c01d0,a01e01e0,h01e0,a0101a01g0	dataset=mass group=max_mass image_width=medium image_height=small connectivity=PixelConnectivity.ALL8 max_mass=1
SimonCellularAutomaton, Identify the transformation. maze_wrap,gameoflife_nowrap,serviettes_nowrap,serviettes_wrap,cave_nowrap	20 25 r71,k71c7171,d1b7171g71,a1a71b717b1e71,7b1b717a1g71,1h7b1b7a171,71e71g7b1,71h71b71b71,f71d7171b71,7a1a7b171a7b1c71,171c7171f71a7,b717d1b7e17,c71f71f7,717a17a17a17171a7171,7c171d7b1a7171,b1d7d1c7b1,c7d1j7,c71c71i7,1b71a7a1j7,7a1d7d1f7,f7a1b71f7,b71717a1j7,d7b1c7a171c7,c71a7c1h7,d71c7171d717 20 25 7,,71q7,c1d7b1g7,71f7b1g7,q717,,7,,e71l7,e7b1j7,g71j7,c71n7,b7a1g71e7,7b1f7b1c717,7a1n717,g71j7,7,g71j7,g7a1i7,f7a1j7,e7b1j7,,7,	maze_wrap=0,gameoflife_nowrap=0,serviettes_nowrap=0,serviettes_wrap=0,cave_nowrap=1	dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=medium image_height=large
simon-solve-v1 predict image for 'O2T'	I0 1 3 1,, O0 1 3 1,, I1 3 5 a23,2,328,a29,2 O1 3 5 2,328,a29,2,a23 I2T 5 7 737a3,b731,73713,a7127,38137,71237,31b7 O2T None I3T 7 7 2,c27a2,b27b2,b27292,a2729a2,27a9b2,29d2 O3T None	5 7 b731,73713,a7127,38137,71237,31b7,737a3	dataset=solve_translate group=translate_yminus1 predict=image image_width=small image_height=small task_pixels=a
SimonImageSymmetry Symmetry hstack(flipx flipy)	28 22 a4a2c41d4a2414a2c4142,464b2412414a26a46a42421a212,41a246a414a2b4a2b41a264262,2a412c46a4a21412a462a46264,121a421b4c1a426b42464262,64b2c4242142b412a42426a2,421a41a4a64a2a642a4142a42b4,21a2624121a246a2c41c4164,b46a4642b416b1d41c46,4a6a42a462a42461a4b2e46,a24614146a424242a462c42162,6a42a1b4b2a424a2464a2b424,a62e414142621a461a426a42,462a4262424a246b464a2142b4,421242a464612a41c614141a46,2b4a212d41c4264a6a41a4,2a4a24126a462a4241c42121a4,2424646c414a2126a414146b4,a64262146e4246a124b2b4,a41a4a2a461c41a46a41a24a62,242421a421b4242462642142b4,a4a1a4246214264216b46a42b4	56 22 241c4a2414a2d41c4a2c4a1a4246214264216b46a42b4,21a21242a46a46a2414214b2464242421a421b4242462642142b4,26246a21b4a2b4a241a464a21b41a4a2a461c41a46a41a24a62,4626a426a42141a2a46c421a42a64262146e4246a124b2b4,2624642b462a4c1b412a41212424646c414a2126a414146b4,a26242a421b4241242c4b2462a4a24126a462a4241c42121a4,b42a4241a424a6a24a6a41a41242b4a212d41c4264a6a41a4,461c41c4a264a2121426a212421242a464612a41c614141a46,6c41d4b161b4246a46c462a4262424a246b464a2142b4,6e4b2a41642a426a42a4a64a62e414142621a461a426a42,2612c426a424242a46414164a26a42a1b4b2a424a2464a2b424,42b4a2464a242a4b2b4a12a46a24614146a424242a462c42162,2a462a416a412624141e42a64a6a42a462a42461a4b2e46,b4241a246b464a2424262a426c46a4642b416b1d41c46,6a414141c61a421646a424212421a2624121a246a2c41c4164,a41a4a6462c41d421a2b42421a41a4a64a2a642a4142a42b4,a41212c4142a426a46214a2a4264b2c4242142b412a42426a2,b464141a4621a241c46464242121a421b4c1a426b42464262,b4b242a1642e46412624a62a412c46a4a21412a462a46264,2a64a21a46a41c416a4a2a41b41a246a414a2b4a2b41a264262,b4241246264242b412a4124242464b2412414a26a46a42421a212,b42a46b4612462412642a4a1c4a2c41d4a2414a2c4142	dataset=symmetry group=symmetry image_width=large image_height=large instruction_sequence='hstack(flipx flipy)'
SIMONS-ARC-HISTOGRAM, unique colors	2:1434,0:1247,3:807,6:622,7:426,5:418,4:11 2:36	0,2,3,4,5,6,7	dataset=histogram_two group=unique_colors histogram_size=d
simonsolveversion1 predict image for 'O3T'	I0 8 4 2a7c12,342b723,4b3a2a7,409a20a2 O0 8 4 0,e030,d03a0,0 I1 4 6 7a91,7b1,,,, O1 4 6 0,a030,,,,0 I2 3 8 9a1,5a1,,151,,a15,1, O2 3 8 0,,030,0,,030,0, I3T 8 6 97b3793,3893a973,7b3b78,8b938a3,39379797,38379a79 O3T None	8 6 0,b03c0,0,,,	dataset=solve_erosion group=apply_erosion_trbl2 predict=image image_width=small image_height=small task_pixels=a
Simon-Solve-Version1, O3T, predict image	I0 13 5 b5e1a605,c509b6a0a5,a50b6d505,5a6b50e5,b50h5 O0 1 1 5 I1 5 9 7a848,8a487,8,a8a78,86878,a78a7,b878,a7a87,878a7 O1 1 1 8 I2 9 3 2a8758252,c8a7a85,5c85758 O2 1 1 8 I3T 3 13 a57,754,745,754,705,4a7,575,675,670,570,471,547,5a7 O3T None I4T 13 14 2a32f323,b30a2d3a2,b23032a3b23,a3a23023b232,3232302a32a32,b32320a2c3,c2b3032323,346a32a30c3,23a4a6a3032a3,2b3a4b60232,a32b3a42a632,b3a2b3a43a2,b23a23c2a3,c3a23a23232 O4T None	1 1 7	dataset=solve_color group=most_popular_color_1x1 predict=image image_width=medium image_height=medium task_pixels=a
SIMONSOLVEV1 predict image for 'O5T'	I0 6 12 4,,,b4b8,,,b8b4,,,8,, O0 8 32 8,,,,,,,,c8c4,,c8a4a8,,e8a4,,8,,c4c8,,a4e8,,a8a4c8,,8,,4,,a4a8a4a8,,a8a4a8a4,,8, I1 12 12 b8b4b8b4,,,b4h8,,,b4b8b4b8,,,b8h4,, O1 32 32 a8a4a8a4i8a4a8a4g8,,a4m8a4m8,,a4a8a4i8a4a8a4i8,,a8e4i8e4g8,,i8a4a8a4a8a4a8a4a8a4a8a4,,g8a4e8a4e8a4e8,,g8a4a8a4a8a4a8a4a8a4a8a4a8,,i8e4a8e4a8e4,,i8a4a8a4i8a4a8a4,,g8a4m8a4e8,,g8a4a8a4i8a4a8a4a8,,i8e4i8e4,,a8a4a8a4w8,,a4z8b8,,a4a8a4y8,,a8e4w8, I2 9 6 b8b4b8,,,b8e4,, O2 18 8 a8a4i8a4a8,,a8c4g8c4,,a8a4m8,,a8c4k8, I3 9 12 e4b8,,,8,,,b8e4,,,,, O3 18 32 k8c4a8,,8,,m8c4,,,,c4a8c4a8c4a8,,8,,a8c4a8c4a8c4,,,,c4m8,,8,,a8c4k8,,,,c4m8,,8,,a8c4k8,,, I4T 12 6 e8b4b8,,,h4b8,, O4T None I5T 12 9 h8b4,,,4,,,h8b4,, O5T None	32 18 e8a4e8a4e8a4g8,,w4g8,,e8a4e8a4e8a4g8,,8,,,,,,e8a4e8a4e8a4g8,,w4g8,,e8a4e8a4e8a4g8,	dataset=solve_fractal group=pattern_to_fractal predict=image image_width=other image_height=other task_pixels=d
simonsolveversion1, O3T, predict image	I0 8 8 1,10b17a1,1d371,15a40171,1517a417,157b147,15c101,e101 O0 8 8 3e43,b34c3,a3b4b3,3,,c34b3,b3a4b3,3c4b3 I1 8 5 9a402b6,039a4196,63a60b4,93609194,639291a6 O1 8 5 e343,3,e343,3, I2T 4 4 7a38,0b7,3a07,0b3 O2T None I3T 4 7 b82,a8a4,18a4,a484,1484,4,6814 O3T None	4 7 34a3,3,,,,3a43,3	dataset=solve_erosion group=apply_erosion_lr2 predict=image image_width=small image_height=small task_pixels=a
process SIMONSARCRLEIMAGE and return the transposed	16 3 a0d2b503c0,013c5d06b3,1j31b8	3 16 a01,013,2a3,253,,,,503,,,a03,303,061,038,,	dataset=image_deserialize group=flipa image_width=medium image_height=small
SIMONSOLVEVERSION1 'O5T' predict the image	I0 14 20 3,3g7c13,,,,3c7c1c73,,,,3c1c7c13,,,,3c7g13,,,,3,, O0 9 16 g17,f171,e1717,f1a7,d17b1,c17c1,b1717b1,c1a7b1,a17d17,17d171,717b1717,1a7c1a7,d17a17,c17a171,b171a717,c1a71a7 I1 14 23 3,,3g7d3,,,,3g1d3,,,,3c1c7d3,,,,3c7c1d3,,,,3,,,, O1 4 16 1,,,,,7,7171,1717,1,a7a1,7b1,17a1,1,a1a7,a171,b17 I2 22 17 3,,,c3c7c1c7c1a3,,,,c3k1c7a3,,,,c3c7c1g7a3,,,,3, O2 16 9 d1717d1717,c1b7d1b71,d17f17a1,171717171717c1,b71b71b7d1,17b17b17e1,d1717g1,c1b7h1,d17i1 I3 13 14 3,a3g1b3,,,,a3c7c1b3,,,,a3g7b3,,,,3 O3 4 9 7,1717,1,a1a7,b17,1,,, I4T 10 23 3,,3g13,,,,3g73,,,,3c1c73,,,,,,,,3,,,, O4T None I5T 21 18 3,c3k7d3,,,,c3g1c7d3,,,,,,,,,,,,3 O5T None	9 16 1,,,,,a71a7c1,,,1,a71a7c1,,,1,a71a7c1,,	dataset=solve_fractal group=pattern_to_fractal predict=image image_width=large image_height=large task_pixels=d
SimonsArcImageScale, What transformation happens. x2up_y1,x3up_y1,x1_y2down	1 12 5,,7,,6,,,,,,4, 1 6 5,7,6,,,4	x2up_y1=0,x3up_y1=0,x1_y2down=1	dataset=scale group=recognize_transformation image_width=small image_height=medium scalex=up1 scaley=down2
SimonImageScale scaley=up6	12 5 7813a8a78787,b7a13c7a8,c78a1a3a78,7b8a7818a38,a7a8a7854b7	12 30 7813a8a78787,,,,,,b7a13c7a8,,,,,,c78a1a3a78,,,,,,7b8a7818a38,,,,,,a7a8a7854b7,,,,,	dataset=scale group=scale_input image_width=medium image_height=small scalex=down1 scaley=up6
simonsolveversion1 'O2T' predict the image	I0 8 4 1,1c8b1,81818b1,a8e1 O0 8 4 8,e808,,8 I1 4 5 a056,60a6,6,1b6,51a6 O1 4 5 8,,a808,,8 I2T 7 8 c32a6,9a62a30,9a67a60,6a7b60,792b60,6a1b60,b6a160,d6a1 O2T None I3T 6 8 b81a8,a81b8,84c8,784b8,b8458,c851,d85,8 O3T None	7 8 8,,,c80a8,,8,,	dataset=solve_erosion group=apply_erosion_nearest4 predict=image image_width=small image_height=small task_pixels=a
Simons-Arc-Image-Pair, add histograms	3 6 2,,,232,a23,232 11 1 4b6f4	2:15,4:8,3:3,6:3	dataset=image_pair group=add_histograms image_width=medium image_height=small
SIMONSOLVEVERSION1 'O5T' predict the image	I0 6 2 747b8,a58a47 O0 5 2 747a8,a5847 I1 2 5 6,,,, O1 1 1 6 I2 5 2 7b85,1 O2 3 2 785,1 I3 2 2 5,0 O3 1 2 5,0 I4T 2 6 4,52,62,,64,26 O4T None I5T 2 6 82,8,81,,,85 O5T None	2 4 82,8,81,85	dataset=solve_compress group=compressxy predict=image image_width=small image_height=small task_pixels=a
SIMON-SOLVE-VERSION1, O4T, predict image	I0 9 8 a4a9d4,b4a8c4,4a8a1c4,c4141a4,c4150a4,e4a54,e41a4,4 O0 8 9 4,d45a4,b410514,c45b4,48b1b4,981d4,948d4,a48d4,4 I1 8 3 a30a5b3,3a5a1b9,5f3 O1 3 8 393,,,513,,053,353,a35 I2 3 3 4a1,a14,3a2 O2 3 3 142,a12,413 I3 3 1 a43 O3 1 3 3,4, I4T 1 9 0,,,,,,,3,8 O4T None	9 1 f038	dataset=solve_rotate group=rotate_ccw predict=image image_width=small image_height=small task_pixels=a
SIMONARCIMAGESHAPE identify places where shape3x3 contains bit 7	21 20 4648646e46b48b4,a46848a646496c48469,4694b8646b46b46b4,46b48c46c46b489,a4948464a6a986b48b4,c4646b468a486b484,6e48a468e4646,6a46b48c48a48a4849,c46c46d4849b4,b464a646a4b68c4a6,64684a8a4a8e48b4,c4a986g4a8a49,848c4a6b4868a48464,946b48b46g496,a4c64a649a4648a6b4,6b8a6a4a68b4a86a489,6f46e46d4,a6846a846a484a8698a48,848b484b846b486464,94a684946c494898648	21 20 a1c0a101a010a1d0,b010a1b010c1a01a0,b0a1b0d1a0a1c0,1010101e0a1a0a1a0,a1d0101d0a1a010,c1010a1b0a1a0101a0,010b1a0a10b10a1c0,0e1a0b101b01010,a10a10101d0101c0,1e01a01c010a1a0,01b010a1a0c1b01a0,10a1b0c1b0b1a010,b0a101b0a1b0a1a010,a01a01a01a0101b0a1a0,b0a10b1a0a1g0,e01c0b1b0a1a0,101b01a0101d0a1a0,b0101c0101e010,c01e0101a0b1a0,0	dataset=shape group=shape3x3_center image_width=large image_height=medium
SIMONSOLVEV1, 'O3T', predict the image	I0 7 5 0,,0268b0,5a06b0,c0620 O0 7 5 8,d858,,8, I1 5 7 0b30,c30,3,a0a30,030a3,3,30303 O1 5 7 8,a85a8,8,,,, I2 6 6 43a583,4702a3,30c3,3,08b38,0d3 O2 6 6 8,,,b85a8,,8 I3T 5 3 95b7,75b7, O3T None	5 3 8,b858,8	dataset=solve_erosion group=apply_erosion_all8 predict=image image_width=small image_height=small task_pixels=a
process SIMONSARCIMAGE and return the cw rotated	7 3 1319619,1539b1,5	3 7 5a1,a53,531,5a9,516,5a1,519	dataset=image_deserialize group=rotate_cw image_width=small image_height=small
SIMONSOLVEV1 predict image for 'O3T'	I0 4 4 9,,, O0 16 4 9,,, I1 4 4 0959,2058,a108,32a1 O1 16 4 9590959032a10959,85028502a1082058,80a180a12058a108,a123a123095932a1 I2 4 2 a543,4858 O2 16 2 34a534a54858a543,85848584a5434858 I3T 2 4 46,6,4,64 O3T None I4T 4 2 a059,5801 O4T None	8 4 64646a46,c6a4a6,c4a6a4,46464a64	dataset=solve_symmetry group='create_symmetry hstack(flipx flipx flipy orig)' predict=image image_width=medium image_height=small task_pixels=a
Simon-Solve-V1 'O2T' predict the image	I0 7 6 1a9c6,19167a3,a6979a6,1b4a61,97a69a6,1b6916 O0 6 7 a61636,1b636,a96976,a647a6,a64919,6746a9,1916a1 I1 6 5 7,c797,b79a7,7a9b7,79c7 O1 5 6 7,b797,a79a7,79b7,a9b7,7 I2T 5 5 3a525,83927,587a9,50867,59765 O2T None I3T 5 1 8a5a2 O3T None	5 5 57975,a69a2,78795,90835,b583	dataset=solve_rotate group=flipb predict=image image_width=small image_height=small task_pixels=a
Simons-Cellular-Automata, What transformation happens. cave_wrap,highlife_nowrap,cave_nowrap,maze_wrap,serviettes_nowrap	22 16 d87o8,e87n8,d8a7n8,d87o8,8,,,,p87c8,i8a7e87b8,i8b7c8787a8,i87j8,e87n8,e8a7e8a7e8,,d8a7n8 22 16 d87o8,e87n8,d8a7n8,,8,,,,,i8787c8a7b8,h87a87d87b8,i87j8,e8a7m8,d87g8a7e8,m8a7e8,d8787m8	cave_wrap=0,highlife_nowrap=0,cave_nowrap=0,maze_wrap=0,serviettes_nowrap=0	dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=large image_height=medium
simon-solve-v1, O2T, predict image	I0 12 3 161c03a461,61a3c4c3,a6a4347161a6 O0 1 1 4 I1 3 10 242,a27,427,4a2,0a7,a02,020,708,487,427 O1 1 1 2 I2T 10 4 1,b1e81,a1b8d1,1 O2T None	1 1 1	dataset=solve_color group=most_popular_color_1x1 predict=image image_width=medium image_height=small task_pixels=a
SIMON-SOLVE-VERSION1, 'O4T', predict the image	I0 4 1 8b0 O0 16 7 c8k0,,,,,, I1 2 2 93,03 O1 8 14 c9c3,,,,,,,c0c3,,,,,, I2 3 2 782,408 O2 12 14 c7c8c2,,,,,,,c4c0c8,,,,,, I3T 3 1 a50 O3T None I4T 1 2 6, O4T None	4 14 6,,,,,,,,,,,,,	dataset=solve_scale group=x4up_y7up predict=image image_width=medium image_height=medium task_pixels=a
SIMONSCELLULARAUTOMATA, Cave with wrapxy. steps=1. 6 is dead. 1 is alive.	19 16 6,,,,j61f6,6,,,,,,,,,,	19 16 6,,,,,,,,,,,,,,,	dataset=cellular_automaton group=cave_wrap ca_step=1 image_width=medium image_height=medium
simonsolvev1 predict image for 'O3T'	I0 4 8 6,6026,2026,9236,9a26,69a1,69a6, O0 4 8 9,b92,,,9,,a2a9,9 I1 8 5 2a42c4,2c8b4,24629b8,b46b49,9a494a24 O1 8 5 9,2f9,9,92e9,9 I2 5 3 a29a8,4b98,8a9a8 O2 5 3 9,a9292,9 I3T 5 7 c27,64a27,60427,60872,6a272,9a272,9c7 O3T None I4T 8 6 0c86a8,8c6b8,816d8,c81a80,8,18180b8 O4T None	5 7 9,b9a2,2c9,,b9a2,b929,9	dataset=solve_erosion group=apply_erosion_tb2 predict=image image_width=small image_height=small task_pixels=a
SimonArcImageShape detect shape3x3 bit 2	5 7 1a9a1,29191,2a191,219a1,16b1,16919,1	5 7 0,0a1a0,01b0,0b10,10a10,b010,a01a0	dataset=shape group=shape3x3_center image_width=small image_height=small
SimonsArcImageShape find shape3x3 bit 3	4 2 a616,6516	4 2 01a0,0	dataset=shape group=shape3x3_center image_width=small image_height=small
simonsolvev1 predict image for O4T	I0 9 7 a95e9,a95a6c9,c96c9,9,b96d9,9, O0 9 7 9,e9a79,,97c9a79,97b9b79,,9 I1 7 5 4b7b3,74a31a7,7,, O1 7 5 9,,,9d79,9 I2 8 8 f70,,,7a8b707,b7c87,e797,,7 O2 8 8 9,9d7a9,c97b9,9,,97e9,9c7b9,9 I3 8 9 b050970,4a05a7a0,2a470750,2a74a0a5,20704b0,d07a0,b0505a0,c05709,e059 O3 8 9 9,,,,,,97e9,,9 I4T 3 7 9a3,,3,,,, O4T None	3 7 9,,,979,,,9	dataset=solve_outline group=outline_all8 predict=image image_width=small image_height=small task_pixels=a
SIMONSARCIMAGESYMMETRY Symmetry vstack(flipx orig 180)	3 25 3a8,8a3,,438,a38,3a8,3,8a3,,8,a38,383,3a8,8a3,3a8,838,a38,838,a83,3,3a8,8a3,,a83,8a3	3 75 a83,a38,,834,8a3,a83,3,a38,,8,8a3,383,a83,a38,a83,838,8a3,838,3a8,3,a83,a38,,3a8,a38,3a8,8a3,,438,a38,3a8,3,8a3,,8,a38,383,3a8,8a3,3a8,838,a38,838,a83,3,3a8,8a3,,a83,8a3,a38,3a8,a38,,a83,3,3a8,838,8a3,838,a83,a38,a83,383,8a3,8,a38,,3,a83,8a3,834,a38,,a83	dataset=symmetry group=symmetry image_width=small image_height=large instruction_sequence='vstack(flipx orig 180)'
Simon-Solve-V1 predict image for O3T	I0 3 3 518,913,961 O0 3 15 518,913,961,518,913,961,518,913,961,169,319,815,961,913,518 I1 3 2 8a2,a38 O1 3 10 8a2,a38,8a2,a38,8a2,a38,8a3,a28,a38,8a2 I2T 2 3 60,80,2 O2T None I3T 3 4 621,693,a47,574 O3T None	3 20 621,693,a47,574,621,693,a47,574,621,693,a47,574,475,7a4,396,126,574,a47,693,621	dataset=solve_symmetry group='create_symmetry vstack(orig orig orig 180 flipy)' predict=image image_width=small image_height=medium task_pixels=a
simon-solve-v1, O4T, predict image	I0 1 4 9,,4,8 O0 4 1 84a9 I1 4 1 2 O1 1 4 2,,, I2 1 7 3,,,,,, O2 7 1 3 I3T 7 1 a253a52 O3T None I4T 1 1 8 O4T None	1 1 8	dataset=solve_rotate group=rotate_cw predict=image image_width=small image_height=small task_pixels=a
simon-solve-v1 'O4T' predict the image	I0 4 5 b64,6204,6291,6416,5a69 O0 1 1 6 I1 3 14 564,a64,a62,602,629,929,493,,563,a13,a53,a63,5a6,a61 O1 1 1 6 I2 14 9 j83a8,i843a8,h8483a8,,g848a0a8,f8b0c8,d8a0f8,a8b0h8,a0k8 O2 1 1 8 I3 9 7 b56b505,c5b208,5a65380a5,a5b650a5,a59a56095,9g5,c59b56 O3 1 1 5 I4T 7 14 43483a4,3438434,a3480a4,4398b3,4328413,4208134,35184a3,2a483a4,2a48b3,4a34343,4b3b4,a4b3a4,b34a34,b43a43 O4T None I5T 14 9 a060b6a0a6060,06e0a6b06,0a6c049c06,60a6b49a60a60,a0676a906a06a0,a07696a06a0606,6078b0b606a0,078a0606b0b6,76b06a06b060 O5T None	1 1 4	dataset=solve_color group=most_popular_color_1x1 predict=image image_width=medium image_height=medium task_pixels=a
Simons-ARC-Image-Erosion erosion mask NEAREST4	12 11 07a979a02929,90796f9,79a2b607a90,c9629a6b9,90976b9a090,b9069092b9,7a969709a6a9,b9d692a9,2b6929b2a9,a916g9,0201a70a9092	12 11 0,h01a0,0,i010,0,i010,0,,,i010,0	dataset=erosion group=apply_erosion image_width=medium image_height=medium connectivity=nearest4
simonsolvev1, O4T, predict image	I0 8 4 071a3a40,021a4a06,e102,2a07c0 O0 8 4 2e10,02a07b0,a071a3a4,6021a4a0 I1 4 4 8184,8142,a5a8,8 O1 4 4 8a58,8,4818,2814 I2 4 8 a279,8b2,b29,a292,8972,29a2,9a29,79a2 O2 4 8 9b2,b29,2897,a292,a9a2,2792,9a27,28a2 I3T 8 1 2 O3T None I4T 1 8 8,,,1,,,, O4T None	1 8 8,1,,,,,8,	dataset=solve_translate group=translate_xplus1yminus2 predict=image image_width=small image_height=small task_pixels=a
SIMONSOLVEV1 predict image for O4T	I0 54 53 4,,d4b3e6b3w6b3e6b34,,,d4e6b3z6e6b3b64,,,d4b6h3z6h34,,,d4e6e3z6b6e34,,,d4w6b3e6b3k64,,,d4z6b6b3n64,,,d4z6h3k64,,,d4z6b6e3k64,,,d4k6b3e6e3e6e3e6b34,,,d4q6b3h6b3h6b3b64,,,d4n6h3b6h3b6h34,,,d4q6e3e6e3e6e34,,,d4w6b3e6e3e6b34,,,d4z6b6b3h6b3b64,,,d4z6h3b6h34,,,d4z6b6e3e6e34,,,4,, O0 8 8 a3c6a3,,c6a3a6,,a6e3,,c6c3, I1 51 53 4,,a4n6b3z6b64,,,a4n6b3b6b3w64,,,a4k6h3z64,,,a4k6e3z6b64,,,a4n6b3t6b3e64,,,a4n6b3b6b3n6b3b6b34,,,a4k6h3n6h3b64,,,a4k6e3q6e3e64,,,a4b6b3h6b3h6b3q64,,,a4b6b3b6b3b6b3b6b3b6b3b6b3k64,,,a4h3b6h3b6h3n64,,,a4e3e6e3e6e3q64,,,a4b6b3h6b3z6b64,,,a4b6b3b6b3b6b3b6b3w64,,,a4h3b6h3z64,,,a4e3e6e3z6b64,,,4,, O1 8 8 a6a3c6,,a6a3a6a3,,e3a6,,c3c6, I2 33 17 4,,4w6b3d4,,,4t6e3d4,,,4n6b3e6b3d4,,,4k6e3b6e3d4,,,4,, O2 6 4 c6a3,,a6c3, I3 17 17 4,,,,a4b3h6b4,,,a4b6b3e6b4,,,a4e6b3b6b4,,,a4h6b3b4,,,4 O3 4 4 a3a6,,a6a3, I4T 34 31 4,,a4w6b3d4,,,a4q6b3b6b3d4,,,a4t6b3b6d4,,,a4e6b3n6b3d4,,,a4b3b6b3h6b3b6b3d4,,,a4b6b3n6b3b6d4,,,a4n6b3h6d4,,,a4h6b3b6b3h6d4,,,a4k6b3k6d4,,,4, O4T None	6 6 c6a3,,a3a6a3,,a6a3a6,	dataset=solve_fractal group=fractal_to_pattern predict=image image_width=other image_height=other task_pixels=e
Simons-ARC-Image-Shape detect shape3x3 bit 1	15 9 3,,e3b4e3,a3c4h3,a1b8i3,d3d8d3,i3b8a3,3,	15 9 0,1,e1b0e1,a1f0e1,e0h1,i0d1,d1g0a1,i1b0a1,1	dataset=shape group=shape3x3_center image_width=medium image_height=small
simonsolveversion1 predict image for O4T	I0 3 8 948,484,948,484,,849,948,484 O0 3 2 948,484 I1 3 12 a03,0a3,380,a03,0a3,380,083,a30,3a0,a03,0a3,380 O1 3 3 a03,0a3,380 I2 2 12 72,2,79,72,2,79,97,2,27,72,2,79 O2 2 3 72,2,79 I3 4 8 29a2,a1a2,29a2,a1a2,a2a1,a292,29a2,a1a2 O3 4 2 29a2,a1a2 I4T 2 16 80,7,,78,80,7,,78,87,7,,08,80,7,,78 O4T None	2 4 80,7,,78	dataset=solve_symmetry group='extract_tile hstack(orig 180 orig orig)' predict=image image_width=small image_height=medium task_pixels=a
Simons-ARC-Image-Shape find shape3x3opposite bit 1	3 8 0a6,,a86,6a8,6,,,	3 8 0,a01,0,a01,1a0,1,,0	dataset=shape group=shape3x3_opposite image_width=small image_height=small
simon-solve-v1, O4T, predict image	I0 4 3 7,,b57 O0 2 2 7,57 I1 3 4 3,,343,3 O1 3 3 3,343,3 I2 4 6 4,,a484,8484,8a06,4a64 O2 4 5 4,a484,8484,8a06,4a64 I3 6 3 c373,38a372,a3a860 O3 5 3 b373,38372,a3860 I4T 2 6 16,10,30,,, O4T None I5T 2 2 63, O5T None	2 3 16,10,30	dataset=solve_compress group=compressxy predict=image image_width=small image_height=small task_pixels=a
Simons-Arc-Image-Pair, unique colors that the two images have in common	18 2 7a2f1a27b527,72a6k126 4 6 7a98,9,9a75,9a15,1984,b94	1,5,7	dataset=image_pair group=color_intersection image_width=medium image_height=small
SimonCellularAutomaton, maze wrap=none. steps=1. live=2. dead=7.	14 23 727f2a727,7272727272a7a2,2b7a2a7c272,2c7a2a7a27a2,b27b2d7a2,b27a272a7c2,27b27272a7272,272a7b2a7a2a7,27d2a7a27a2,d2c7a2727,27h2a72,f27272a72,2c7c2a72a7,a27c27a27a27,7272c7a27a27,7272727b27b2,b72a727272a72,a7a27b27b272,a7c27a2a7b2,d72727d2,c2727b2a7a2,7b27b27c27,a272d7a2a72	14 23 727f2a7a2,a272727272a7a2,a2a7a27d272,2a72a7d27a2,272727a272b72,27272a72a7a272,27b2727a27272,272b7b27a272,2727f27a2,2h72727,2d7b2727a2,c2c727c2,2f72a72a7,a27c27a27a27,7272d7272a7,72727d27b2,b72a727272a72,a7a27b27b272,a7c27a2c72,d72727b272,c2727272b72,b727b27c27,a27a2727b27a2	dataset=cellular_automaton group=maze_nowrap ca_step=1 image_width=medium image_height=large
SimonsImageDilation dilation mask trbl2	14 12 10b40a1a4a040,404a0104a05141,4b0a4a05141a0,a4b0404154514,5b054b5010a4,10a5a40515b40,a01a04a05b040,b041010a4a540,a041b0b50414,a01c54b5015,0a5b6a0510501,5a0450e6a0	14 12 0a101a01010b1,12a1012b1b21,1210b2021b21,120a1212a1b20,a10b1a20b2a0,102a1a21212b1,0121a2121c21,010a1021a212a1,a01012a1202121,0b1a212a12121,0a1b212121a21,0c10f10	dataset=dilation group=apply_dilation image_width=medium image_height=medium connectivity=trbl2
Simon-ARC-RLE-Image flip-b	3 10 2,,252,a25,2,,,,,	10 3 e25b2,f25a2,2	dataset=image_deserialize group=flipb image_width=small image_height=small
SIMON-SOLVE-VERSION1, O4T, predict image	I0 3 4 a78,7,, O0 3 8 7,,,8a7,a78,7,, I1 4 4 5,,b09,a545 O1 4 8 54a5,9b0,5,,,,b09,a545 I2 4 2 7,6747 O2 4 4 7476,7,,6747 I3 2 4 89,9,8,98 O3 2 8 89,8,9,98,89,9,8,98 I4T 4 2 a606,a080 O4T None I5T 2 3 45,,51 O5T None	4 4 08a0,60a6,a606,a080	dataset=solve_symmetry group='create_symmetry vstack(180 orig)' predict=image image_width=small image_height=small task_pixels=a
SIMONSOLVEVERSION1, O4T, predict image	I0 6 3 a04042,836962,262920 O0 1 1 2 I1 3 6 3,3a8,,285,3, O1 1 1 3 I2 6 10 6,,,a61b6,a61a46,a63961,631616,a67176,a61b6,6 O2 1 1 6 I3 10 12 4390a3a0a4,430a3d0,403a94b03,a04073a043,3a047521a0,4940727093,09a2072030,3430479b3,403b0a4a3,3a4304a304,4a02a04303,43c03030 O3 1 1 0 I4T 12 9 0a392a392390,b3a209b3a2,3a2b30a39a3,c34b390a3,39209402b30,9c3049b39,b3090e3,32302b30303,a30d30a30 O4T None I5T 9 7 7b3430a7,a734573a7,a47052563,b70451a3,3a7471a70,3a71b737,a3073a704 O5T None	1 1 3	dataset=solve_color group=most_popular_color_1x1 predict=image image_width=medium image_height=medium task_pixels=a
simon-solve-v1, 'O3T', predict the image	I0 2 2 6, O0 1 1 6 I1 4 2 b41,4b1 O1 3 2 a41,4a1 I2T 5 2 8,27a50 O2T None I3T 2 6 01,,07,87,17,0 O3T None	2 5 01,07,87,17,0	dataset=solve_compress group=compressxy predict=image image_width=small image_height=small task_pixels=a
SimonsImageErosion erosion mask with connectivity TLBR2	10 19 c81d8,1d81b8,1f818,b8141c8,a818481b8,b8141a818,1c848a18,a8a18481a8,b8184c8,d84c8,1d84b8,8a1b841a8,a1a8184a81,1d84b8,b81b8481,a81c84a8,a81c8481,c8a1c8,h81	10 19 0,0c1b010,d0a1b0,a01b0b10,01e010,0a1f0,b01e0,0,0a1c01a0,0b1b0a10,a0b1a0a10,c01d0,0,b0a1d0,a010a1a010,b0101c0,01b0a1b0,0a1b0a1a0,0	dataset=erosion group=apply_erosion image_width=small image_height=medium connectivity=tlbr2
rotate CW Simons-ARC-Image	17 22 6,,,,,,,,,,,,,,,,,,,,,	22 17 6,,,,,,,,,,,,,,,,	dataset=image_deserialize group=rotate_cw image_width=medium image_height=large
SIMONSARCIMAGESYMMETRY make symmetric hstack(flipx flipy flipy)	8 24 a07d0,7f0,0,c06b0,,,,b076a09,07076b9,7b06b9,7b06909,07a06979,0707b90,a070b90,a0764a90,b096a40,a09569a0,07957690,09507697,09b0764,b070764,e094,a07d0,0	24 24 d07q0,f07a07f07d0,m094e094,b06f070764b070764,b06d09b076409b0764,b06d0950769709507697,b06d0795769a07957690,9a067d09569c09569a0,b96707c096a4c096a40,b96b07a0764a9b0764a90,9096b07a070b9b070b90,9796a07a0707b9a0707b90,0b9707a07a0697907a06979,0b907a07b069097b06909,0a9467a07b06b97b06b9,0a469c07076b907076b9,a09659d076a09b076a09,0967597d06f06b0,7967059d06f06b0,467b09d06f06b0,46707f06f06b0,49u0,d07a07f07f0,i07f07d0	dataset=symmetry group=symmetry image_width=small image_height=large instruction_sequence='hstack(flipx flipy flipy)'
simon-image-dilation dilation mask LR2	6 4 262a50,a26a20,a26270,b2a95	6 4 1a2b1,012b1,01b21,a0c1	dataset=dilation group=apply_dilation image_width=small image_height=small connectivity=lr2
simons-arc-image flip-b	6 9 b49a4,b49a1,a49b4,,469b4,496b4,494a54,9d4,	9 6 f414,a45c414,a45c4a9,b46b9a4,a4a96c4,a9f4	dataset=image_deserialize group=flipb image_width=small image_height=small
SIMONIMAGEMASS max mass 8, connectivity tb2	1 5 5,,,3,	1 5 1,,,,	dataset=mass group=max_mass image_width=small image_height=small connectivity=PixelConnectivity.TB2 max_mass=8
SIMON-SOLVE-VERSION1 'O3T' predict the image	I0 18 1 e3e7e4 O0 3 1 374 I1 6 17 8,3,8,,4,8,3,8,,3,4,3,8,3,,7,9 O1 1 17 8,3,8,,4,8,3,8,,3,4,3,8,3,,7,9 I2 18 4 e1e0e4,e4e0e5,e3e4e5,e0e4e1 O2 3 4 104,405,345,041 I3T 6 11 8,,,7,,8,7,8,7,8,7 O3T None	1 11 8,,,7,,8,7,8,7,8,7	dataset=solve_scale group=x6down_y1 predict=image image_width=medium image_height=medium task_pixels=a
simon-image-erosion mask when doing erosion nearest4	6 15 6d5,6a1a51,761b5,,726a51,7261a5,725615,7256a5,72a561,a70161,717a06,712750,c571,a1b57,15a151	6 15 0,,c010,,0,,,,,,,,,,	dataset=erosion group=apply_erosion image_width=small image_height=medium connectivity=nearest4
SIMONSOLVEV1 'O5T' predict the image	I0 10 9 7,c71b707,c71670a7,79b710b7,769a716a73,a76a916837,b756916a7,c7809b7,7 O0 10 9 9,9a6f9,9,,,,,96g9,9 I1 10 10 d9a42a9,a5964b9a2,92836d9,949396c9,,943b96b9,a93c96a9,a93d969,a93f9,9 O1 10 10 9,,,f9a69,g969,9,c96d9,c9a6c9,c9b6b9,9 I2 10 3 9,a95f9,b9a5d9 O2 10 3 9,e9b69,9 I3 9 5 71c9b1,17f1,,1, O3 9 5 9,f969,b9d69,,9 I4 9 9 9,a9692c9,c920b9,9a4a92b9,693b4069,b9a32a49,96b93209,96a9193a9,e96a9 O4 9 9 9,f969,,9,,,,, I5T 9 8 8,c82c8,c826b8,84b82b8,a84a82658,b8a42658,d84268,e84a8 O5T None I6T 8 8 8,,,,,,, O6T None	9 8 9,9a6c969,f969,9,,,96f9,9	dataset=solve_outline group=outline_all8 predict=image image_width=small image_height=small task_pixels=b
SimonArcImageScale, What transformation happens here. x3up_y1,x1_y5up,x2up_y1	12 6 3,836h3,3a86g3,c3a6e3,e36d3,f36c3 12 30 3,,,,,836h3,,,,,3a86g3,,,,,c3a6e3,,,,,e36d3,,,,,f36c3,,,,	x3up_y1=0,x1_y5up=1,x2up_y1=0	dataset=scale group=recognize_transformation image_width=medium image_height=small scalex=down1 scaley=up5
simonsolveversion1 predict image for 'O4T'	I0 6 3 c204,a23242,a24032 O0 5 3 b204,23242,24032 I1 4 2 1a02,5a26 O1 3 2 102,526 I2 2 5 72,76,2,, O2 2 3 72,76,2 I3T 4 5 a010,5160,b86,5a06, O3T None I4T 6 6 b50a5,540b5,5459a5,4a93a5,4953a5,4d5 O4T None	5 6 b505,540a5,54595,4a935,49535,4c5	dataset=solve_compress group=compressxy predict=image image_width=small image_height=small task_pixels=a

End of preview. Expand in Dataset Viewer.

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.