Datasets:

neoneye
/

simon-arc-combine-v71

instruction stringlengths 18 162	input stringlengths 4 1.74k	output stringlengths 1 4.03k	benchmark stringlengths 48 150
simonsolvev1 'O2T' predict the image	I0 3 2 8a0,8 O0 3 2 a08,8 I1 2 5 7,,,, O1 2 5 7,,,, I2T 5 1 9 O2T None I3T 1 1 6 O3T None	5 1 9	dataset=solve_translate group=translate_xminus1yminus2 predict=image image_width=small image_height=small task_pixels=a
Simon-Solve-V1, O3T, predict image	I0 2 4 81,69,81,69 O0 2 2 81,69 I1 2 4 25,0,25,0 O1 2 2 25,0 I2T 2 4 28,9,28,9 O2T None I3T 3 4 9a6,a06,9a6,a06 O3T None	3 2 9a6,a06	dataset=solve_symmetry group='extract_tile hstack(orig orig)' predict=image image_width=small image_height=small task_pixels=a
what are the shared colors between Simons-Histogram	5:846 7:1535,3:269	empty	dataset=histogram_two group=intersection histogram_size=d
Simon-ARC-Image-Erosion erosion mask with connectivity corner4	14 14 6e565a6b5,34a656a56c56,5b85a6a56b56,a523a865b64a5,b6a26a4a54656,6c5656b4565,a5b652a6b4a5,6a56565a64b65,a5b6a524a5a65,6576562546c5,5675a2646b565,b526a56e5,565a6c565656,a56565c65a65	14 14 0,,,,,,d01g0,b01i0,c01h0,0,j01a0,0,,	dataset=erosion group=apply_erosion image_width=medium image_height=medium connectivity=corner4
simonsolveversion1, 'O3T', predict the image	I0 1 7 9,,4,8,,, O0 1 7 4,8,,,,9, I1 7 1 8b4a15 O1 7 1 b4a158 I2 1 1 3 O2 1 1 3 I3T 1 4 2,,,1 O3T None	1 4 2,1,2,	dataset=solve_translate group=translate_xminus1yminus2 predict=image image_width=small image_height=small task_pixels=a
simon-arc-image-symmetry make symmetric vstack(flipx flipy flipy orig)	20 25 23b23a2b3h2,a23c2a3g23a2,23e2026b23b232,a23232320963e232,23232b30926a23d2,3b2a3a20a263b232a3,a2323a290b363e2,e2930b21f2,323b2920a31a23a2323,b2329a2021b3a2c3,c29320a21a323b2a3,b23923021323a2b3a2,a239a2301a23d2323,c2a3203d23a2a32,a3b2320b232c3b2,2a3b21023a23b2c3,c23120i232,a23212303b2323a23a2,3b21b3a232323a23a2,b2a32a3a2a3e2a3,a23e23a2a3e2,g23c2a323232,a3g2323f2,b2323a23a23b2a3232,b2a3b2a3e23a23	20 100 h2b3a23b232,a23g2a3c23a2,23b23b2620e232,23e23690232323a2,d23a26290b323232,a323b236a20a2a3b23,e236b309a2323a2,f21b2039e2,323a23a21a3029b2323,c3a2b3120a2923b2,a3b232a31a20239c2,a2b3a23231203293b2,323d23a2103a293a2,2a3a23d2302a3c2,b2c323b2023b2a3,c3b23a23201b2a32,23i20213c2,a23a2323b23032123a2,a23a232323a2b31b23,a3e2a3a2a32a3b2,e2a3a23e23a2,23232a3c23g2,f2323g2a3,232a3b23a23a2323b2,3a23e2a3b2a3b2,b2a3b2a3e23a23,b2323a23a23b2a3232,a3g2323f2,g23c2a323232,a23e23a2a3e2,b2a32a3a2a3e2a3,3b21b3a232323a23a2,a23212303b2323a23a2,c23120i232,2a3b21023a23b2c3,a3b2320b232c3b2,c2a3203d23a2a32,a239a2301a23d2323,b23923021323a2b3a2,c29320a21a323b2a3,b2329a2021b3a2c3,323b2920a31a23a2323,e2930b21f2,a2323a290b363e2,3b2a3a20a263b232a3,23232b30926a23d2,a23232320963e232,23e2026b23b232,a23c2a3g23a2,23b23a2b3h2,b2a3b2a3e23a23,b2323a23a23b2a3232,a3g2323f2,g23c2a323232,a23e23a2a3e2,b2a32a3a2a3e2a3,3b21b3a232323a23a2,a23212303b2323a23a2,c23120i232,2a3b21023a23b2c3,a3b2320b232c3b2,c2a3203d23a2a32,a239a2301a23d2323,b23923021323a2b3a2,c29320a21a323b2a3,b2329a2021b3a2c3,323b2920a31a23a2323,e2930b21f2,a2323a290b363e2,3b2a3a20a263b232a3,23232b30926a23d2,a23232320963e232,23e2026b23b232,a23c2a3g23a2,23b23a2b3h2,,a23c2a3g23a2,23e2026b23b232,a23232320963e232,23232b30926a23d2,3b2a3a20a263b232a3,a2323a290b363e2,e2930b21f2,323b2920a31a23a2323,b2329a2021b3a2c3,c29320a21a323b2a3,b23923021323a2b3a2,a239a2301a23d2323,c2a3203d23a2a32,a3b2320b232c3b2,2a3b21023a23b2c3,c23120i232,a23212303b2323a23a2,3b21b3a232323a23a2,b2a32a3a2a3e2a3,a23e23a2a3e2,g23c2a323232,a3g2323f2,b2323a23a23b2a3232,b2a3b2a3e23a23	dataset=symmetry group=symmetry image_width=medium image_height=large instruction_sequence='vstack(flipx flipy flipy orig)'
Simon-ARC-RLE-Image flip-a	7 1 2c503	1 7 2,5,,,,0,3	dataset=image_deserialize group=flipa image_width=small image_height=small
Rotate 180 SIMONARCRLEIMAGE	9 13 7b37c3,a31d87,3a7e3,131a37b3,31e39,7c31393,a313a1313,a3037b37,309b3171,70a31a3a7,a37907b3,d3a071,737c3a0	9 13 a0c3737,17a0d3,b37097a3,a7a31a307,171b3903,7b3730a3,313a131a3,3931c37,9e313,b37a3131,e3a73,7d81a3,c37b37	dataset=image_deserialize group=rotate_180 image_width=small image_height=medium
SIMONSOLVEV1 'O4T' predict the image	I0 3 3 863,,8a3 O0 3 12 863,,8a3,863,,8a3,368,,a38,8a3,863, I1 3 2 a42,7 O1 3 8 a42,7,a42,7,2a4,7,,a42 I2 2 2 9,90 O2 2 8 9,90,9,90,9,09,90,9 I3 2 2 10,0 O3 2 8 10,0,10,0,01,0,,10 I4T 2 3 25,95,09 O4T None	2 12 25,95,09,25,95,09,52,59,90,09,95,25	dataset=solve_symmetry group='create_symmetry vstack(orig orig flipx flipy)' predict=image image_width=small image_height=medium task_pixels=a
SIMONSOLVEV1, O4T, predict image	I0 1 16 6,,,,2,,,,,,,,,,, O0 4 4 6,2,, I1 4 20 7,,,,0,,,,,,,,,,,,,,, O1 16 5 7,0,,, I2 5 16 a6959,,,,9a696,,,,a6b9,,,,96959,,, O2 20 4 g6c9c5c9,c9g6c9c6,g6k9,c9c6c9c5c9 I3T 4 4 0,,, O3T None I4T 1 12 8,,,,,,,,,,, O4T None	4 3 8,,	dataset=solve_scale group=x4up_y4down predict=image image_width=medium image_height=medium task_pixels=a
SIMON-SOLVE-VERSION1 predict image for 'O5T'	I0 6 6 5,a5a7a5,5c65,b57a5,,5 O0 6 6 8,,,,81c8,8 I1 10 5 7,c73d7,,d73c7, O1 10 5 8,8a1b8b18,8a1c8a18,,8 I2 5 8 7c9,75b9,7a9a5,9,,,, O2 5 8 8,,,,8b18,,,8 I3 9 8 7,,,,,,, O3 9 8 8,8f18,,,,,,8 I4 5 6 34848,3c8,83b8,8,b848,8 O4 5 6 8,,b818,8,81b8,8 I5T 9 9 4,a41e4,3012d4,4761a2b4,a471452a0,a4371a424,b471c4,c471b4,d47b4 O5T None	9 9 8,d8b18,f818,8,,,,81d818,8	dataset=solve_outline group=outline_all8 predict=image image_width=small image_height=small task_pixels=b
Simons-ARC-Image-Shape unique color count in shape3x3histogramdiamond4	9 12 g01,01b0b30,01f0,1e030,0,a03d03,0a3c030,e03a0,d0a3a0,0a30101a0,f030,a3b01b0	9 12 12b1a231,b21c23,b2a1b21,12c1212,212c1a2,1b2b121,c2a1212,1a2a1b21,1a2132321,b2313231,b21a2312,b2121a21	dataset=shape group=shape3x3_histogram_diamond4 image_width=small image_height=medium
Simon-Solve-V1, 'O5T', predict the image	I0 10 14 4,,,f48a4,d4348a4,c43a4814,c43b814,a403a483a4,a043a48b4,c4a58b4,e45b4,4,, O0 10 14 1,,,,,,,,,,,,, I1 11 10 9,91a91e9,9,1e96a91,d9196919,91c9196a9,g96a9,e9a0a91,e94c9,b91c91a9 O1 11 10 4,,,,,,,,, I2 10 9 9,91d91a9,d91c9,1e96a9,,b91c969,g969,b91a9a0a9,e94a91 O2 10 9 4,,,,,,,, I3 12 3 76b717a8a17,d7c8a27,b7c8c71 O3 12 3 6,, I4T 4 10 5b3,b53,3b5,a5a1,,a579,5795,3797,5735,a535 O4T None I5T 10 1 b7e81 O5T None	10 1 1	dataset=solve_color group=least_popular_color_same predict=image image_width=medium image_height=medium task_pixels=b
SimonRLEImagePair, number of colors that the 2 images have in common	2 10 76,16,71,1,61,14,1,14,, 19 4 2515216a525212651a5,c212512b5615a2a1,a1a5c212a51515615,a525256126562516b5	2	dataset=image_pair group=number_of_intersection_colors image_width=medium image_height=small
SimonImageSymmetry Symmetry vstack(flipx flipx)	19 8 b2b92a929a2a9a2a9,b92e9b2a9a292,a9d2929a292a9b2,9a2a9292c9a2a9b2,b92d92b9d29,929b2a9b2929b292,9a29a2a92b92a92929,929a29b29292a9c2	19 16 a9a2a9a292a92b9b2,29a2a9b2e92b9,b2a929a2929d2a9,b2a9a2c9292a9a29,9d2b92d92b9,29b2929b2a9b2929,9292a92b92a9a29a29,c2a92929b29a2929,a9a2a9a292a92b9b2,29a2a9b2e92b9,b2a929a2929d2a9,b2a9a2c9292a9a29,9d2b92d92b9,29b2929b2a9b2929,9292a92b92a9a29a29,c2a92929b29a2929	dataset=symmetry group=symmetry image_width=medium image_height=small instruction_sequence='vstack(flipx flipx)'
Simon-Image-Shape identify places where shape3x3 contains bit 3	1 22 1,,,,,,,,7,,,,,,,,,,,5,2,	1 22 0,,,,,,,,,,,,,,,,,,,,,	dataset=shape group=shape3x3_center image_width=small image_height=large
simon-solve-v1, 'O5T', predict the image	I0 4 4 b34,a343,34a3,4b3 O0 2 2 34,43 I1 16 9 a43b434c3a434,4a3a4a34c34a34,34b34f34a3,a434g3a434,4a34g34a34,34j34a3,c3a434g3,c34a34g3,d34i3 O1 4 3 a434,4a34,34a3 I2 9 4 g34,e3434,a34d34,434b3434 O2 3 2 a34,434 I3 16 9 3,,,,d3434d3434,c3c4c3c4,3,3434343434343434,4 O3 4 3 3,3434,4 I4T 9 16 4g3,3a4e3,b4e3,3,b34a34a3,c3a43a4,b3e4,3,4a34a34a3,3a43a43a4,4,3,,,, O4T None I5T 9 16 g34,e34a3,e3434,,a34e3,4g3,434e3,,a34d34,4d34a3,434b3434,,a34d34,4d34a3,434b3434, O5T None	3 4 a34,4a3,434,	dataset=solve_fractal group=fractal_to_pattern predict=image image_width=medium image_height=medium task_pixels=b
SIMONSOLVEVERSION1 'O4T' predict the image	I0 2 2 12, O0 6 2 2a1212, I1 2 4 06,,27,4 O1 6 4 6a0606,,7a2727,4 I2 4 4 6871,67a6,5a63,6 O2 12 4 178a68716871,a67a67b67a6,3a6a5a635a63,6 I3 4 3 2360,6,29a2 O3 12 3 063a23602360,6,a29a29b29a2 I4T 3 4 298,892,298,a78 O4T None	9 4 89a298298,29a892892,89a298298,8c78a78	dataset=solve_symmetry group='create_symmetry hstack(flipx orig orig)' predict=image image_width=medium image_height=small task_pixels=a
Simon-Image-Mass identify places where max mass is 3, connectivity tb2	8 1 a5d24	8 1 1	dataset=mass group=max_mass image_width=small image_height=small connectivity=PixelConnectivity.TB2 max_mass=3
SIMONSOLVEVERSION1, 'O4T', predict the image	I0 6 3 a2c8,, O0 3 1 2a8 I1 4 6 a3a4,,,a4a3,, O1 2 2 34,43 I2 6 6 3,,,,, O2 3 2 3, I3 6 15 3,,,c9a3,,,a3c9,,,a3a4a9,,,a3a4a3,, O3 3 5 3,a93,3a9,349,343 I4T 20 6 e8c1e7c8,,,e8a0a7i2,, O4T None	10 2 b8a1b7a8,b807d2	dataset=solve_scale group=x2down_y3down predict=image image_width=medium image_height=medium task_pixels=a
SimonsArcImageShape find shape3x3 bit 4	17 22 c17k1,,b17e1a5d1,b17b1b5f1,b17a152h1,b17l1,a17m1,a17a16j1,a17b1a6h1,g16g1,b17d16f1,b167d16e1,c167c12e1,c1617c12d1,c16717b12d1,e1c7a12c1,h1b72c1,j1a727a1,k1721a7,l172a1,m12a1,1	17 22 b1a0j10,,a1a0d1010c10,a1a0a10a10e10,a1a01b0g10,a1a0k10,1a0l10,1a01a0i10,1a0a1010g10,f1a0f10,a1a0c1a0e10,a1b0c1a0d10,b1b0b1a0d10,b1c0b1a0c10,b1d0a1a0c10,d10b101a0b10,g10a1a0b10,i101b010,j1c010,k1b010,l1a010,o10	dataset=shape group=shape3x3_center image_width=medium image_height=large
Simon-ARC-Image-Scale, What transformation happens here. x2up_y1,x1_y1	20 2 1,d4i1d4 4 4 1,,4a14,	x2up_y1=0,x1_y1=0	dataset=scale group=recognize_transformation image_width=medium image_height=small scalex=down5 scaley=up2
Simons-Image-Symmetry make symmetric hstack(180 flipy orig)	29 21 4,t43f4,s493f4,r4943f4,q49b43e4,p49c43e4,n4a9d43e4,m49f43e4,l49h43d4,k49i43d4,j4d9f43d4,i492c4e943d4,w43c4,,4,,,,,,	87 21 4,z4z4x43f4,z4z4w493f4,z4z4v4943f4,z4z4u49b43e4,z4z4t49c43e4,z4z4r4a9d43e4,c43z4t43q49f43e4,c43z4t43p49h43d4,d434e9c429s492c4e943p49i43d4,d43f4d9u4d9f43o4d9f43d4,d43i49w49i43n492c4e943d4,d43h49y49h43z4a43c4,e43f49z449f43z4b43c4,e43d4a9z4b4a9d43z4g4,e43c49z4f49c43z4g4,e43b49z4h49b43z4g4,f4349z4j4943z4h4,f439z4l493z4h4,f43z4n43z4h4,4	dataset=symmetry group=symmetry image_width=large image_height=large instruction_sequence='hstack(180 flipy orig)'
SIMON-SOLVE-V1 'O5T' predict the image	I0 4 1 3a02 O0 1 4 2,0,,3 I1 1 6 1,,4,8,9,7 O1 6 1 a14897 I2 6 2 194a37,71b79 O2 2 6 79,37,,47,91,17 I3 2 5 43,45,79,58,12 O3 5 2 35982,a4751 I4T 5 4 03a03,5a3a0,35a30,036a8 O4T None I5T 4 8 a0a4,4a04,04a0,7a04,07a0,,a069,4a90 O5T None	8 4 a404a090,4d069,a040a709,0407b04	dataset=solve_rotate group=rotate_ccw predict=image image_width=small image_height=small task_pixels=a
SIMONSARCIMAGEDILATION mask when doing dilation trbl2	13 11 0,f05d0,5g05b0,d05f0,f05a05a0,h0a4a0,c0505a4c0,d0a405c0,h0a5a0,0,a0a5a05e0	13 11 g01c0,01d02a01a0,1d02a02b0,d02a02a010,c01a02a0210,d0d12a0,c0202a12b0,b0102a120a10,c0a1010a2a0,b0a1a0b1b0,a0a1a01e0	dataset=dilation group=apply_dilation image_width=medium image_height=medium connectivity=trbl2
Simons-Image-Symmetry Symmetry vstack(orig orig)	13 9 a9c839c89,c8939a3c8,d839a83b8,a9a8f3a8,d3b898989,a8a9h8,d898b9b8,8989a8989a898,8989a89d89	13 18 a9c839c89,c8939a3c8,d839a83b8,a9a8f3a8,d3b898989,a8a9h8,d898b9b8,8989a8989a898,8989a89d89,a9c839c89,c8939a3c8,d839a83b8,a9a8f3a8,d3b898989,a8a9h8,d898b9b8,8989a8989a898,8989a89d89	dataset=symmetry group=symmetry image_width=medium image_height=small instruction_sequence='vstack(orig orig)'
simons-image-dilation mask when doing dilation lr2	14 14 1,,,d1c28c1,g18d1,b13c18d1,b13b18e1,b13a18f1,b1318g1,,b138h1,b13i1,1,	14 14 0,,,c0a1a0121b0,f0121c0,a0121a0121c0,a01210121d0,a012a121e0,a01b21f0,,a01a21g0,a0121h0,0,	dataset=dilation group=apply_dilation image_width=medium image_height=medium connectivity=lr2
simons-cellular-automata, Recognize the transformation. maze_wrap,serviettes_nowrap,cave_nowrap,gameoflife_nowrap	17 23 9f39c3a939,9c39b39a3a9393,39a393939a39a3939,3i9c393,3c9a39a39d39,9b3a9a3a9e39,a93a9393a9c3a93,9b3a939a393c93,a93b93b93a9a393,939d3b93a9a39,393c939a3939a39,c93939a3b939a3,3a9393a93a9393b9,d393d9d3,c39a3939f3,c9c3a9f3,939d3b9b39a3,a9a393c9b3c9,93d9393b93a93,b9a3f9b393,a39f39c3a9,a39d3b9c3a9,h39b3a939 17 23 9f3a9b3a939,a9b393b9a3a9393,39a393939a3c939,39a3g9b3a9,3a9c39a39c3a9,9b3b93b9d39,a93a9393b9b3a93,9c3939a393c93,e93b93a9a393,939d3b93d9,393c939a393c9,a9393939a3b939a3,3a9393a939a393b9,b3b9393b9b393,3c93a939f3,c9b3b9f3,939f39a3a9a3,a9a393b9b3d9,93b9d3b93a93,b9a3g9a393,a3a9a39b39b3b9,939d3b9c3a9,h3a9a3a939	maze_wrap=1,serviettes_nowrap=0,cave_nowrap=0,gameoflife_nowrap=0	dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=medium image_height=large
SIMONSARCIMAGEMASS identify places where max mass is 3, connectivity leftright2	15 20 397293b9707b9,373727a09739079,a9072c93093a9,79073230b9a090,a930929a3937a97,b30792790a9b0,a93097329b09a7,90a9b029093970,979393a0247a093,d97a924a9079,a939707a94a9073,7c903945290a9,b7a90734523970,979a0a905a320a9,07079b75a92b9,0a39a3a85c830,b2b873597a909,b9d2517a097,97d97a2b137,9790a90a90792a1	15 20 1,,d1c0e1,1,,,,,,d0i1,1,1c0i1,1,,,h1c0a1,1,b1d0f1,a1d0g1,1	dataset=mass group=max_mass image_width=medium image_height=medium connectivity=PixelConnectivity.LR2 max_mass=3
Simon-Solve-Version1 predict image for O3T	I0 6 2 0a34a0,d50 O0 5 2 034a0,c50 I1 2 5 50,58,,84,14 O1 2 4 50,58,84,14 I2T 5 6 02070,02b0,02a04,42706,027a0, O2T None I3T 5 2 98b9,85a89 O3T None	4 2 98a9,8589	dataset=solve_compress group=compressxy predict=image image_width=small image_height=small task_pixels=a
simons-arc-image-shape detect shape3x3 bit 4	19 13 b3a2f324d3,35f353514d3,2a32e35134d3,e32b31a3432323,h31b34b353,32e313534e3,f31c34e3,2c3531c34e3,e31a35354e3,35b31j323,c312b32e35a3,b31a3c23a2c353,a31d235h3	19 13 a1010e1b0c10,a0e1e0c10,01a0d1d0c10,d1a0a1a01f0,g1a0a1a0a1b0,a0d1e0d10,e1a0b1a0d10,0b1c0b1a0d10,d1a01d0d10,a0a1a0i1b0,b1b0a1a0d1a010,a1a010b1a010b1b0,1a0c1b0g10	dataset=shape group=shape3x3_center image_width=medium image_height=medium
Simons-ARC-RLE-Image-Pair, number of colors that the two images have in common	1 10 0,,6,,,3,,,5,6 19 8 c90c9e090a9,0c90a9a0e9b0,09090c9b090a90a9,a9e09a090e9,e909b0c90b9,09a0909a09a0a9b0a9,a0a90b909a090b909,c90a90a9090e9	1	dataset=image_pair group=number_of_intersection_colors image_width=medium image_height=small
SIMON-SOLVE-VERSION1 predict image for 'O3T'	I0 10 3 8,f8a78,e87b8 O0 10 3 2,2c3d2,2 I1 7 10 6,b6a8a6,b65780,a65a606,a656076,6560676,650b67,60b6a4,06b4a6,54d6 O1 7 10 2,23d2,2,,,,,,, I2 3 10 3,,,,,,a30,,3,303 O2 3 10 2,232,,,,2,,,, I3T 5 6 5,,,,, O3T None I4T 6 10 a50b5,570b5,5a01a5,5050a5,505015,,0a5071,0b501,0b505,c505 O4T None	5 6 2,2b32,,,,2	dataset=solve_outline group=outline_all8 predict=image image_width=small image_height=small task_pixels=a
simon-solve-version1 'O4T' predict the image	I0 3 4 484,3,230,3a7 O0 3 12 484,3,032,a73,484,3,230,3a7,484,3,230,3a7 I1 4 4 5393,3538,3a83,3 O1 4 12 3935,8353,3a83,3,5393,3538,3a83,3,5393,3538,3a83,3 I2 4 3 a8a6,a6a4,8a67 O2 4 9 a6a8,a4a6,7a68,a8a6,a6a4,8a67,a8a6,a6a4,8a67 I3T 3 4 3a5,a60,4a2,2 O3T None I4T 4 3 1380,1a80,0b8 O4T None	4 9 0831,0a81,b80,1380,1a80,0b8,1380,1a80,0b8	dataset=solve_symmetry group='create_symmetry vstack(flipx orig orig)' predict=image image_width=small image_height=medium task_pixels=a
SIMONIMAGESHAPE shape3x3 histogram diamond4 number of unique colors	21 4 g8a4a31b313131,2a3a9b49a2c0b3131,b3n4b3,23131324a3b1a3132b3	21 4 g2c323a21c2,2a34a32323a4e3b2,21b3a21g32a312,131a23232a32b323a2a1	dataset=shape group=shape3x3_histogram_diamond4 image_width=large image_height=small
SIMONSCELLULARAUTOMATON, Given two images, recognize the transformations. highlife_nowrap,gameoflife_nowrap,serviettes_wrap	27 21 a41b4k14b141414,14a14a14141a4e1a4a14141,14a14b1a41a4c141a41a41a4,1a4e1b4g1414a141,1a414a14g14c141a4a1,a14i14b14b1a41a41,a14141a4a1414141a41a4e1,a1a4a1b4a1b4e1414c1,g141a414g1a4b1,e1a4b1b4e1a4b1a4,4i1a4d1a4c1a41,a4c1b4c14l1,a4e1a4b1a4a1a414a1a4a1,1a41b41414g14d1a4,b41a414a1a414g141414,4h14141a4e1c41,4a1a414a1a4c1a4b1a41a4a1,b1b4b1a4l1b4,b4a1a4a1414b1b41c414a1,a1b4i1d4f1,a4a14b14f1c4a14b14 27 21 b1414a14j1b414a1,a4f141a4f14e1,1414m14b1a41a4,h141a4e1a4c1a4,i14h14e1,a14a1b4d14141a4a1a41a41,1a4a1a414d141d41a4b1,a1a41a414d14c1a41a4b1,f1c4b14d141a4b1,f14d14d1d41a4,a4e14a14f1a4b1a41,f1b4b1a4a14d14141,f14d1a4b1a4c1a41,c1414141d4b1a4f1,a1414a14a141b4f14a141,a14b14d1d4i1,4a14i1b4c14b141,g14a14d1414e14,a41a414a14d14b1b41a414,14a14p1a4a14,b14j14f141a4	highlife_nowrap=0,gameoflife_nowrap=0,serviettes_wrap=0	dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=large image_height=large
SIMONSCELLULARAUTOMATON, Given two images, recognize the transformations. gameoflife_nowrap,highlife_nowrap,highlife_wrap,maze_wrap,maze_nowrap	17 16 0b4a04a0a4a0a4a0,0a4040a404040b40,40b40g4a04,4a0a4a0b4b0c4,04b0c4a0a40a40,0a4a0404a04e0,e0a404f0,g04g0,a4b0404b0a4a0a4,g4b0a40b4,0a4040c4a0a4a04,0404040a4a0a404a0,a4b04a04a0b4b0,4b0a40b4a0a4a04,b0f4a0d4,a04a0a4b04a04b0 17 16 0b40e40c40,a4a040a404040b40,4040404a0d4a04,4a0a4c04b0c4,a4040c40b40b4,0a4a04040b4d0,e0a404f0,g04g0,a404040a4a0e4,40c404a0b40b4,04a04b0b40a4a04,0404040a40a4a04a0,b4a04a040a40a4a0,a40b4040a4d04,b0a4a0i4,a0a40a40b40a4040	gameoflife_nowrap=0,highlife_nowrap=0,highlife_wrap=0,maze_wrap=0,maze_nowrap=1	dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=medium image_height=medium
SIMON-SOLVE-V1, 'O3T', predict the image	I0 3 3 649,7a6,790 O0 12 9 c6c4c9,,,c7g6,,,c7c9c0,, I1 3 3 276,2,759 O1 12 9 c2c7c6,,,2,,,c7c5c9,, I2 3 3 504,0, O2 12 9 c5c0c4,,,0,,,,, I3T 3 4 a05,127,2a7,290 O3T None I4T 4 3 7308,8a74,81a8 O4T None	12 12 g0c5,,,c1c2c7,,,c2g7,,,c2c9c0,,	dataset=solve_scale group=x4up_y3up predict=image image_width=medium image_height=small task_pixels=a
simonsolveversion1, O4T, predict image	I0 18 18 373c7c373a7a37,,,3g73a7a3a7a3,,,b37c3b73a7a3a7,,,a37a3c73a73767a3,,,7a3737e3a76b5,,,7373a73b7a3a565a9,, O0 18 6 373c7c373a7a37,3g73a7a3a7a3,b37c3b73a7a3a7,a37a3c73a73767a3,7a3737e3a76b5,7373a73b7a3a565a9 I1 8 15 89780874,,,a9a801a8,,,7a8a9018,,,8f1,,,8c0a84,, O1 8 5 89780874,a9a801a8,7a8a9018,8f1,8c0a84 I2 20 6 3a131310a2531a0d1,,,10d1a312b5e4,, O2 20 2 3a131310a2531a0d1,10d1a312b5e4 I3 7 15 d793,,,c7978,,,1279728,,,b82567,,,1a732a7,, O3 7 5 d793,c7978,1279728,b82567,1a732a7 I4T 18 9 7b5a375a465357353,,,7a3h6c735,,,3a5c30d3a7a53,, O4T None I5T 9 15 c85a878,,,c857b8,,,e80a8,,,b8b7038,,,8,, O5T None	18 3 7b5a375a465357353,7a3h6c735,3a5c30d3a7a53	dataset=solve_scale group=x1_y3down predict=image image_width=medium image_height=medium task_pixels=c
Simons-Arc-Image-Pair, Histogram-B without colors of Histogram-a	10 3 3a5a3c05,54b03a7a3,4c375b3 5 10 c15,151a5,1,5b15,a15a1,,51515,1,5c1,a1b5	1:35	dataset=image_pair group=b_remove_a_colors image_width=small image_height=small
intersection of colors in SIMONARCHISTOGRAM	9:1526,6:1472,1:1393,7:1126,5:989,4:563,2:426,0:307 1:935,2:399	1,2	dataset=histogram_two group=intersection histogram_size=d
simons-image-dilation dilation mask TRBL2	3 11 245,145,245,,542,4a2,,429,,4a2,421	3 11 0a1,121,,,a10,010,a10,1,121,120,1a0	dataset=dilation group=apply_dilation image_width=small image_height=medium connectivity=trbl2
Simon-Image-Symmetry Symmetry vstack(180 flipy 180 180)	13 23 1,a5j1,19a5h1,19a1a5f1,a19a1a8e1,b1a8g1,1a819g1,3b19g1,3c19f1,13c19e1,13d19d1,a13c19d1,a17d19c1,a17i1,,,b17h1,,,1,,,	13 92 1,,,,h17b1,,,i17a1,,,c19d17a1,d19c13a1,d19d131,e19c131,f19c13,g19b13,g191a81,g1a8b1,e1a8a19a1,f1a5a191,h1a591,j1a5,1,,,,,b17h1,,,a17i1,,,a17d19c1,a13c19d1,13d19d1,13c19e1,3c19f1,3b19g1,1a819g1,b1a8g1,a19a1a8e1,19a1a5f1,19a5h1,a5j1,1,,,,,h17b1,,,i17a1,,,c19d17a1,d19c13a1,d19d131,e19c131,f19c13,g19b13,g191a81,g1a8b1,e1a8a19a1,f1a5a191,h1a591,j1a5,1,,,,,h17b1,,,i17a1,,,c19d17a1,d19c13a1,d19d131,e19c131,f19c13,g19b13,g191a81,g1a8b1,e1a8a19a1,f1a5a191,h1a591,j1a5,1	dataset=symmetry group=symmetry image_width=medium image_height=large instruction_sequence='vstack(180 flipy 180 180)'
simons-arc-image-erosion mask when doing erosion CORNER4	8 16 c75757,7575c7,5a7a5757,b75c7,5b75b7,7a5d7,5a75b75,a7575a67,7b5a767,5b75765,d7564,75b7567,b757476,5c7a06,c74575,b747a57	8 16 0,e010,01b01a0,e010,d0a10,0,,,,,,b01c0,0,01e0,b01c0,0	dataset=erosion group=apply_erosion image_width=small image_height=medium connectivity=corner4
Simon-Solve-Version1 'O2T' predict the image	I0 8 3 4,4a61c4,b4a6b4 O0 8 3 0,e050,0 I1 5 8 461a4,a61a4,61b4,41b4,,41a04,1c4, O1 5 8 0,,,b050,0,,, I2T 8 4 d4684,6a484684,6b4b84,6b48a46 O2T None	8 4 0,a05d0,0,	dataset=solve_erosion group=apply_erosion_corner4 predict=image image_width=small image_height=small task_pixels=a
Simon-Solve-V1, O3T, predict image	I0 4 6 3,,5,,a3a5, O0 12 27 3,,,5,,,b3b5b3b5,,,5,,,,,,,,,e3e5,,,5,,,b3h5,, I1 8 8 a5e3,,e3a5,,e5a3,,a5a3c5, O1 48 48 n5h3b5h3b5h3,,,k5h3b5h3b5h3b5,,,t5b3h5b3h5b3,,,n5b3h5b3h5b3e5,,,b5h3b5h3b5h3k5,,,h3b5h3b5h3n5,,,h5b3h5b3h5b3k5,,,b5b3h5b3h5b3q5,,,z5k5h3,,,z5h5h3b5,,,z5q5b3,,,z5k5b3e5,,,n5h3w5,,,k5h3z5,,,t5b3w5,,,n5b3z5b5,, I2T 6 8 a5c3,,a5a3a5,,a5c3,,a3c5, O2T None I3T 6 6 a3a5a3,,c5a3,,, O3T None	27 27 b3b5b3h5b3b5b3,,,e5b3n5b3,,,,,,q5b3b5b3,,,w5b3,,,,,,q5b3b5b3,,,w5b3,,,,,	dataset=solve_fractal group=pattern_to_fractal predict=image image_width=other image_height=other task_pixels=d
simon-solve-version1 predict image for O4T	I0 7 5 a959a36,a953936,63a9393,a931b9,e93 O0 7 5 7,,,d797,7 I1 7 4 d1a9,b49141,1a74b1,e14 O1 7 4 7,c79a7,,7 I2 7 5 a2712a1,a47a218,8725a18,2a52121,528a212 O2 7 5 7,d797,7,, I3 6 7 b2a75,8a7a85,1a54a5,18b58,a9a585,a548a5,5 O3 6 7 7,d79,7,a79b7,7,d79,7 I4T 7 6 595a3a9,5a3a595,3c595,5959b5,5a95b9,c5959 O4T None	7 6 7,d797,c7979,7,9e7,7	dataset=solve_erosion group=apply_erosion_tb2 predict=image image_width=small image_height=small task_pixels=a
SIMON-SOLVE-VERSION1 predict image for 'O3T'	I0 3 1 a73 O0 18 7 k7e3,,,,,, I1 1 1 6 O1 6 7 6,,,,,, I2 1 1 7 O2 6 7 7,,,,,, I3T 1 1 7 O3T None I4T 3 2 a68,6a2 O4T None	6 7 7,,,,,,	dataset=solve_scale group=x6up_y7up predict=image image_width=medium image_height=small task_pixels=a
SimonCellularAutomata, Given two images, recognize the transformations. gameoflife_nowrap,serviettes_nowrap,cave_nowrap,highlife_nowrap,serviettes_wrap	12 26 e5353b5,5,g53b5,5,,,g53b5,g5a3a5,5,,,,,3i53,3b53e53,a5b3f5,5b3g5,a53h5,a5a3c5a3a5,f5a3b5,5,,,,, 12 26 3,,,,,,,,,,,,,5i35,,a3a5g3,,a35h3,3,,,,,,,	gameoflife_nowrap=0,serviettes_nowrap=1,cave_nowrap=0,highlife_nowrap=0,serviettes_wrap=0	dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=medium image_height=large
simons-arc-image-mass max mass 6, connectivity lr2	17 20 49a49a493a949b43,343a49439a49c49,9493b4a93a949a49,9434294a93b49a49,9b42b9e49a4,a4a92b4a9a4a9b4,9c429493a4a9494,a4a942b439e4,439a423b4b943a4,b4942b4a949a4a9,9b492a9a4949c4,434a942b4949c4,49a4a92a43b9b49,9494392a4a9a494a9,39494a943a43b494,4394b9249b43494,c94949349a4c9,4a949a49e49a4,d494b949a4a94,a434a9g4949	17 20 1,,,,,,,,,,,,,,,,,,,e1g0b1	dataset=mass group=max_mass image_width=medium image_height=medium connectivity=PixelConnectivity.LR2 max_mass=6
SIMONSOLVEVERSION1 'O2T' predict the image	I0 1 10 7,,,,,,,,, O0 3 2 7, I1 2 10 28,,,,,9,,,, O1 6 2 b2b8,9 I2T 6 20 1d3,,,,,b31a3,,,,,a3a713,,,,,3a4a83,,,, O2T None	18 4 b1n3,h3b1e3,e3e7b1b3,b3e4e8b3	dataset=solve_scale group=x3up_y5down predict=image image_width=small image_height=medium task_pixels=a
process SimonsRLEImage and return the cw rotated	14 7 b72a675e7,b72a7c69767,97b6d7b67,a3b797b6c7,79a3b6d757,97a63e79a7,a6d7975c7	7 14 69739a7,6793b7,76376a7,76376a2,7367676,a769a76,a76a767,9a76765,b76767,5a76767,c7697,79a76a7,a757a67,7	dataset=image_deserialize group=rotate_cw image_width=medium image_height=small
SimonImageShape find shape3x3 bit 5	20 19 3,,,,,,,,,,,,,,,,,,	20 19 0r1,,,,,,,,,,,,,,,,,,0	dataset=shape group=shape3x3_center image_width=medium image_height=medium
simonsolvev1, O4T, predict image	I0 7 7 828a2a6,828a268,a2b8a6,28286a7,82876a2,2a768a2,b86282 O0 7 7 8,,b86b8,8,,,86d8 I1 7 7 a60b65,0b6095,6a06095,60a6915,b61965,6a19a65,b69a60 O1 7 7 c86a8,a86c8,8,,86d8,8,86d8 I2 7 7 4b0b4,43a0b3,30a4303,34a04a0,343a030,0a40434,c0343 O2 7 7 a86a868,d868,8,,,,8a6c8 I3 7 7 9a8b96,9,c9698,b9a698,d989,96a98a9,9a8a686 O3 7 7 c86a8,8d68,8a6c8,86d8,8b6b8,8, I4T 7 5 e96,,b9c7,b7c9,b96b9 O4T None	7 5 8c6a8,,86a8a68,,86b868	dataset=solve_erosion group=apply_erosion_lr2 predict=image image_width=small image_height=small task_pixels=a
simonsolveversion1 predict image for O5T	I0 2 7 25,75,82,,72,28,29 O0 1 1 2 I1 7 9 7a80b8,7e8,b8a780,0b87a8,c8787,e87,0a870a8,780c8,87a8a78 O1 1 1 8 I2 9 14 71a7b1a7,7b1b717,08a170b1,1784c17,a787a4701,a198a7a41,7a1917014,171987b1,7a17917a1,a7b19701,710179a71,17b17917,a1a7b171,d17a17 O2 1 1 1 I3 14 10 0,a09b67f0,0191b0b7c0,a0901a8a07c0,090a8c07c0,09a8d07c0,09a0a8a04d0,e084e0,e040a8c0,d04e1a0 O3 1 1 0 I4T 10 13 64a6c4a6,64c6b46,646a46a4a6,464a6b4a6,64646a4a64,46064d6,6a406a4b6,4640b6b4,b46064a64,4a6a4046a4,646a404646,b4b60a64,64a6b46a4 O4T None I5T 13 13 1515a19b15a1,a1c79c1a5,a159a1c9a15,1a595c19195,919c1519a51,15a3a15159a15,9a15a3a159b1,a595a13595a15,595b151a3159,151515e21,b1b5b15a15,91a9a515a19a1,151a5a159a159 O5T None	1 1 1	dataset=solve_color group=most_popular_color_1x1 predict=image image_width=medium image_height=medium task_pixels=b
Simon-Solve-V1 'O3T' predict the image	I0 5 7 7c2,1b79,78718,89787,876a7,796a5,7b97 O0 5 7 a7b9,27b2,91b7,87871,78978,78767,57965 I1 7 7 5,,,,,b59b8,5a9c5 O1 7 7 a5a9b5,5,,,,,8b59a8 I2 7 7 8e0,0,a0808a0,d018,0a8b01,0808a71,d080 O2 7 7 e08,08d0,0,b08080,8d01,10a8b0,10808a7 I3T 7 2 73a2a34,c3947 O3T None	7 2 7c394,473a2a3	dataset=solve_translate group=translate_xplus1yplus1 predict=image image_width=small image_height=small task_pixels=a
simonsolvev1, O3T, predict image	I0 5 4 2a824,67282,7c2, O0 5 3 2a824,67282,7c2 I1 4 5 b86,a868,b86,,a898 O1 3 4 a86,868,a86,898 I2 2 6 81,71,70,,0,1 O2 2 5 81,71,70,0,1 I3T 3 2 5a7,1a9 O3T None	2 2 57,19	dataset=solve_compress group=compressxy predict=image image_width=small image_height=small task_pixels=a
rotate CW SimonsRLEImage	22 2 6313a163a13c16b1631,1a316d13b1e0a1	2 22 16,3,31,13,61,1,16,13,1,,3,1,,,01,06,01,,,06,13,1	dataset=image_deserialize group=rotate_cw image_width=large image_height=small
SIMON-SOLVE-VERSION1 predict image for 'O4T'	I0 16 3 0a1g020101,1c0e6101a0,10c1g010 O0 16 12 0a1g020101,,,,1c0e6101a0,,,,10c1g010,,, I1 9 3 01701b62,d69a20,0d8610 O1 9 12 01701b62,,,,d69a20,,,,0d8610,,, I2 12 2 80a8a08a9b8,0 O2 12 8 80a8a08a9b8,,,,0,,, I3 6 3 a39438,a39439,b34a3 O3 6 12 a39438,,,,a39439,,,,b34a3,,, I4T 9 2 371a3a8a9,8g1 O4T None	9 8 371a3a8a9,,,,8g1,,,	dataset=solve_scale group=x1_y4up predict=image image_width=medium image_height=medium task_pixels=b
SIMONSIMAGESYMMETRY apply symmetry hstack(180 orig 180 flipx)	8 16 c17b1,c173a1,b1714a1,,,b174b1,a1714b1,,,17e1,,a7e1,2d7a1,2d1a7,2f1,1	32 16 k17m17c1,f12c173h12a137c1,a7d12b1714a1a7d12a1417b1,a1d72b1714c1d72a1417b1,e1a7b1714g1a7a1417b1,e17c174h17c147b1,e17b1714h17c1417a1,b1417c1714e1417d1417a1,,b1417b17h1417g171,b147c17h147h171,a1417b1a7g1417h1a7,a1417b12d7c1417d1d72,a1417b12d1a7a1417b1a7d12,a137c12h137j12,b17n17k1	dataset=symmetry group=symmetry image_width=small image_height=medium instruction_sequence='hstack(180 orig 180 flipx)'
SIMON-SOLVE-VERSION1 'O2T' predict the image	I0 5 4 a0a80,,39a36, O0 10 2 c0c8a0,a3a9c3a6 I1 2 10 64,,,,34,,64,,6, O1 4 5 a6a4,,a3a4,a6a4,6 I2T 5 16 9,,,,94936,,a9394,,48648,,96464,,561a9,,94a94, O2T None	10 8 9,,a9a4a9a3a6,c9a3a9a4,a4a8a6a4a8,a9a6a4a6a4,a5a6a1c9,a9a4c9a4	dataset=solve_scale group=x2up_y2down predict=image image_width=small image_height=medium task_pixels=a
SIMON-SOLVE-VERSION1 predict image for 'O5T'	I0 22 40 1,,,,,a1q9a1,,,,,,,,,,a1a8a9a8e9a8a9a8a1,,a1a9c8g9c8a1,,a1a8a9a8e9a8a9a8a1,,a1q9a1,,a1e9a8a9c8a9a8a1,,a1g9c8a9c8a1,,a1e9a8a9c8a9a8a1,,a1q9a1,,a1a8a9a8e9a8a9a8a1,,a1a9c8g9c8a1,,a1a8a9a8e9a8a9a8a1,,1,, O0 12 16 8,,,,c9c8c9,,,,c8g9,,,,c9c8c9,,, I1 41 13 1,,,,d1s9c8c9c8c1,,d1o9a8a9a8a9a8a9a8a9c1,,d1c9c8k9c8g9c1,,d1a8a9a8i9a8a9a8i9c1,,1 O1 16 8 g8g9,,,,c9c8c9c8,,, I2 23 37 1,,,b1q9a1,,,,,,,,,,b1q8a1,,b1c9a8c9a8c9a8a1,,b1a9c8a9c8a9c8a1,,b1q9a1,,b1k9e8a1,,b1o9a8a1,,b1m9c8a1,,b1q9a1,,b1e9k8a1,,b1i9a8c9a8a1,,b1g9c8a9c8a1,,1, O2 12 16 8,,,,9,,,,g8c9,,,,c8g9,,, I3 24 36 1,,,a1q9c1,,,,,,,,,,a1g9c8a9c8c1,,a1g9a8c9a8a9c1,,a1e9k8c1,,a1q9c1,,a1g9c8e9c1,,a1g9a8g9c1,,a1e9e8e9c1,,a1q9c1,,a1a9c8a9c8a9c8c1,,a1a9a8c9a8c9a8a9c1,,a1q8c1,,1 O3 12 16 8,,,,c8g9,,,,c8c9c8,,,,9,,, I4T 23 35 1,,b1c8a9c8g9a1,,b1c9a8c9a8e9a1,,b1c8a9c8g9a1,,b1a9a8c9a8g9a1,,b1k9c8a9a1,,b1o9a8a1,,b1k9c8a9a1,,b1m9a8a9a1,,b1c8a9c8g9a1,,b1c9a8c9a8e9a1,,b1c8a9c8g9a1,,b1a9a8c9a8g9a1,,b1e9c8g9a1,,b1i9a8e9a1,,b1e9c8g9a1,,b1g9a8g9a1,,1 O4T None I5T 37 25 1,,,,,a1z9b9a8b1,,a1z99c8b1,,a1w9e8a9b1,,a1u9a8e9a8b1,,a1s9c8c9c8b1,,a1o9e8a9e8a9b1,,a1e9a8e9a8e9a8g9b1,,a1c9c8c9c8c9c8g9b1,,a1e8a9e8a9e8i9b1,,1, O5T None	16 12 k8c9,,,,g8g9,,,,k9c8,,,	dataset=solve_fractal group=fractal_to_pattern predict=image image_width=other image_height=other task_pixels=e
simon-image-scale scalex=down5 scaley=up7	15 1 3	3 7 3,,,,,,	dataset=scale group=scale_input image_width=medium image_height=small scalex=down5 scaley=up7
SIMONSOLVEVERSION1, O3T, predict image	I0 16 8 c4c1g4,,,,c4k1,,, O0 48 12 b4b1t4b1h4b1e4,,,b4h1n4h1b4h1,,,b4b1z4n4,,,b4h1z4h4,, I1 12 16 4,,,,1,,,,g1c4,,,,c1g4,,, O1 27 48 4,,,1,,,e1b4e1b4e1b4,,,b1e4b1e4b1e4,,,4,,,,,,,,,,,,,,,q4h1,,,q4e1b4,,,q4b1e4,,,4,,,h4q1,,,h4e1b4e1b4,,,h4b1e4b1e4,, I2 16 16 g4g1,,,,g1g4,,,,c4c1g4,,,,k1c4,,, O2 48 48 e4e1e4e1w4,,,e1e4e1z4b4,,,b4b1h4b1z4b4,,,h1b4h1z4,,,z4b4e1e4e1,,,w4e1e4e1e4,,,z4b1h4b1e4,,,w4h1b4h1b4,,,e4e1q4e1e4e1,,,e1q4e1e4e1e4,,,b4b1t4b1h4b1e4,,,h1n4h1b4h1b4,,,z4n4e1,,,z4h4e1e4,,,z4k4b1e4,,,z4h4h1b4,, I3T 12 12 c4g1,,,,c1g4,,,,c4g1,,, O3T None	27 27 b4e1q4,,,b1w4,,,b4e1q4,,,k4e1b4e1,,,h4b1e4b1e4,,,k4e1b4e1,,,b4e1q4,,,b1w4,,,b4e1q4,,	dataset=solve_fractal group=pattern_to_fractal predict=image image_width=other image_height=other task_pixels=e
simon-arc-image-erosion erosion mask with connectivity trbl2	19 6 j45b45a45,35b46k46,a453e451a5d4,a14a5346c456b541,b4b5a351415a415a4,4145145e46d4	19 6 0,a01b0c1d0a1a0,f0101h0,0,01g01g0,0	dataset=erosion group=apply_erosion image_width=medium image_height=small connectivity=trbl2
Simons-ARC-Image-Scale scale-x down by 4	16 29 g1c9c1,1,c9c1c9c1,c9c1c6c1,g1c6c1,,,c9c1c6c1,g1c6c1,c9c7c6c9,c1c7c6c1,,,c9c7c6c1,c9c7c6c9,c1c7c6c9,k1c6,,g1c9c6,c1c9c1c6,k9c6,c1c9c1c6,g1c9c6,g9c1c6,c9g1c6,c1g9c6,k1c6,c1c9c1c6,c9g1c6	4 29 a191,1,9191,9161,a161,,,9161,a161,9769,1761,,,9761,9769,1769,b16,,a196,1916,b96,1916,a196,a916,9a16,1a96,b16,1916,9a16	dataset=scale group=scale_input image_width=medium image_height=large scalex=down4 scaley=up1
simon-solve-v1, 'O4T', predict the image	I0 4 3 6,6b3,6 O0 2 3 6,63,6 I1 6 2 173b6,a3c6 O1 4 2 1736,a3a6 I2 5 4 27a29,27a49,74a62,46a72 O2 4 4 2729,2749,7462,4672 I3 3 5 6,a62,,a63,a93 O3 2 4 6,62,63,93 I4T 5 2 1c0,4a3a9 O4T None I5T 2 6 54,40,47,,,78 O5T None	3 2 1a0,439	dataset=solve_compress group=compressxy predict=image image_width=small image_height=small task_pixels=a
SimonsCellularAutomaton, game-of-life wrap=none. steps=1. live=2. dead=7.	6 22 7d2,a27272,27c2,2,,,,,,b27a2,27c2,2a7b2,2,,,7d2,2,27c2,2,a27b2,c272,7b272	6 22 a27272,2d7,7,,,,,,,,2d7,,7,,,,2d7,7,,,d72,2a72a7	dataset=cellular_automaton group=gameoflife_nowrap ca_step=1 image_width=small image_height=large
SimonsImageMass identify places where max mass is 4, connectivity 4	16 3 c5b3065a6a565,5c05631c6959,a6a590f16a5	16 3 c0e1a0c1,0f1d0b1,e1f0b1	dataset=mass group=max_mass image_width=medium image_height=small connectivity=PixelConnectivity.NEAREST4 max_mass=4
rotate 180 simons-arc-image	8 17 5,,,,,,e505,,d50a5,b5150a5,b54a1a5,b540515,b54c5,,5,,	8 17 5,,,c54b5,,51504b5,a5a14b5,a5051b5,a50d5,50e5,,5,,,,,	dataset=image_deserialize group=rotate_180 image_width=small image_height=medium
simonsolveversion1 predict image for O3T	I0 3 9 709,,a70,a71,717,727,917,a17,a97 O0 9 3 919e7,9a121a7a0,d710a9 I1 9 5 7,,b7c5a7,7, O1 5 9 7,,,a75a7,,,,7, I2 5 5 81a38,401a5,454a8,054a8,a8485 O2 5 5 80a48,8a501,b413,b853,5a858 I3T 5 2 8,a81a8 O3T None	2 5 8,,18,8,	dataset=solve_rotate group=rotate_cw predict=image image_width=small image_height=small task_pixels=a
SIMONCELLULARAUTOMATON, What transformation happens here. cave_wrap,gameoflife_nowrap	25 13 8,a85u8,8,o85g8,8,c85d85a85j8,d85d85l8,8,,d8a5n85a8,e8a5p8,,a85b8a5p8 25 13 8,,,,,,,,,d8b5p8,8,d85a85o8,e8a5p8	cave_wrap=0,gameoflife_nowrap=1	dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=large image_height=medium
simon-arc-image-pair, histogram b excluding histogram A colors	11 7 6,c61e6,b61c68a5,b61a6989a6,a61a978c6,6a4678d6,c67e6 14 1 6a20d3a7b6	3:5,2:2,0:1	dataset=image_pair group=b_remove_a_colors image_width=medium image_height=small
SIMON-SOLVE-VERSION1, O3T, predict image	I0 48 48 e9e7e9e7w9,,,b7b9h7b9e7w9,,,b9b7b9b7b9b7b9b7w9,,,e9b7h9b7z9,,,q9e7w9,,,k9b7b9e7w9,,,n9b7b9b7w9,,,q9b7z9,,,e9e7q9e7k9,,,b7b9e7k9b7b9e7k9,,,b9b7b9b7n9b7b9b7k9,,,e9b7t9b7n9,,,e9e7e9e7q9e7,,,b7b9h7b9e7k9b7b9e7,,,b9b7b9b7b9b7b9b7n9b7b9b7,,,e9b7h9b7t9b7b9,, O0 4 4 a9a7,79a7,9797,a979 I1 48 48 9,,,e9b7h9b7h9b7h9b7b9,,,7,,,h7b9h7b9h7b9h7b9,,,9,,,e9b7h9b7t9b7b9,,,w7k9k7,,,h7b9h7n9h7b9,,,9,,,,,,,,,,,,,,,z9n9b7b9,,,z9h9k7,,,z9h9h7b9,, O1 4 4 9,a979,7,b79 I2 48 27 h9b7h9b7h9b7k9,,,,,,z7h7k9,,,h9b7h9b7h9b7k9,,,,,,z7h7k9,,,9,,,,,,,, O2 4 3 b97,,7 I3T 48 48 9,,,b7b9b7b9b7b9b7b9b7b9b7b9b7b9b7b9,,,b7b9h7b9h7b9h7b9e7,,,e7b9h7b9h7b9h7b9b7,,,9,,,k9b7b9b7n9b7b9b7b9,,,k9b7b9e7k9b7b9e7,,,k9e7b9b7k9e7b9b7,,,9,,,k9b7b9b7z9,,,k9b7b9e7w9,,,k9e7b9b7w9,,,9,,,w9b7b9b7n9,,,w9b7b9e7k9,,,w9e7b9b7k9,, O3T None I4T 48 27 b9e7z9b9e7b9,,,b7b9e7w9b7b9e7,,,b9b7z9e9b7e9,,,n9e7z9,,,k9b7b9e7w9,,,n9b7z9b9,,,b9e7q9e7e9e7b9,,,b7b9e7k9b7b9h7b9e7,,,b9b7t9b7h9b7e9,, O4T None	4 4 9,7979,79a7,a797	dataset=solve_fractal group=fractal_to_pattern predict=image image_width=other image_height=other task_pixels=other
SimonsArcImageShape identify places where shape3x3 contains bit 4	15 11 32a923a232a32a3,b21a92b32a532,2b313a92a53213,3b21a25a95a212,232a3152a5a9a31,32a30215b23a93,2320a52132323a2,32a52a31f2,35c2a613c23,b3d26e2,2a3b23232a3a23	15 11 a01b01b01a010,a1a01a0a1a01b0,0a1b01a01d0,0a1a01a01a01b0,b01c010101a0,a01d0a1a01a0,c01g010,a01a01a0e10,a0b101b0b1a0,a10c1a0d10,010a1d0101a0	dataset=shape group=shape3x3_center image_width=medium image_height=medium
SIMONARCIMAGESCALE, Recognize the transformation. x1_y1,x2up_y1,x4up_y1,x3up_y1	7 21 a951a52,,,,,,,b057a1,,,,,,,21b7a4,,,,,, 21 3 e9b5b1e5b2,h0b5b7e1,b2b1h7e4	x1_y1=0,x2up_y1=0,x4up_y1=0,x3up_y1=0	dataset=scale group=recognize_transformation image_width=small image_height=large scalex=up3 scaley=down7
SIMONARCIMAGEEROSION erosion mask with connectivity ALL8	8 14 17176b7,676a7a67,6b71a67,b616a76,7c6a76,c676a7,67b67a6,7a676767,e676,76b7676,d6b7,67b6167,7e61,a6a767a6	8 14 0,,,,,,,,,,,b01c0,0,	dataset=erosion group=apply_erosion image_width=small image_height=medium connectivity=all8
simon-solve-v1, O4T, predict image	I0 10 4 6,,, O0 10 4 8,8g18,,8 I1 6 9 9b2a9,6a24a9,a24202,210a20,a2a102,9b2a1,9d2,6b262,a29a26 O1 6 9 8,,,,,,a81b8,8, I2 4 10 6,,64a6,6,4346,34a6,6,,b63,39a6 O2 4 10 8,,,,,,,81a8,8, I3T 8 7 2,,,20e2,208d2,20e2, O3T None I4T 6 8 96c9,975b9,9795a9,7a9a04,b0a94,c959,,9 O4T None	6 8 8,,,,,,8a1b8,8	dataset=solve_outline group=outline_all8 predict=image image_width=small image_height=small task_pixels=a
Here are 2 images of type simon-arc-image-pair, add histograms	20 5 h1a8g19,j1a8d192,1d5f1b8a191,d12h51a821,c1h6a2b5a8 10 3 h41,,	1:58,4:27,5:17,8:11,6:9,2:5,9:3	dataset=image_pair group=add_histograms image_width=medium image_height=small
CCW rotate SIMONARCIMAGE	7 14 c8158,b81585,85185a8,b8a5a8,8,85d8,b85b8,8,,5b85a8,c85a8,85b858,85d8,c8a58	14 7 85k8,5i8585,1b5d8a5a85,8185a85f8,a81j8,a85a85d8a58,h85c8	dataset=image_deserialize group=rotate_ccw image_width=small image_height=medium
SIMONSOLVEVERSION1 'O3T' predict the image	I0 14 12 03a01a03103930,a3a031a3036903,e01a031790,b10303a017091,03a0c6367190,c63030317093,13a0e47319,a03a101010c4,03016a01307103,b01031607a013,61036a0a370131,63a0a3a037c0 O0 14 12 9,,,,,,,,,,, I1 12 3 f7a4a50,e3a2c9,e5858a58 O1 12 3 0,, I2 3 7 9a0,060,969,0a1,a09,909,8a0 O2 3 7 8,,,,,, I3T 4 6 b42,,4,,b42, O3T None I4T 14 5 a2c42c42a4,2k42,j4242,j4a24,2c42c42a42 O4T None	4 6 2,,,,,	dataset=solve_color group=least_popular_color_same predict=image image_width=medium image_height=medium task_pixels=b
CW rotate SIMONARCRLEIMAGE	2 6 73,01,71,,27,23	6 2 a2a707,37b13	dataset=image_deserialize group=rotate_cw image_width=small image_height=small
SIMONSOLVEVERSION1 'O3T' predict the image	I0 6 4 d54,5,, O0 6 4 4,4b8a4,4c84,4 I1 3 9 0,,,,,,,6a0, O1 3 9 4,484,,,,,4,, I2 9 10 46f4,43a6d4,4342b6a4,423450b4,943a40b4,9b40c4,49405c4,4905d4,a402d4,402e4 O2 9 10 4,,,,f484,,e4a84,,d4b84,4 I3T 10 5 f6b5,a6b1a5b6,01g6,60a6b3b6,a6a1b6b3 O3T None I4T 8 5 528d5,52e5,27e5,7f5,5 O4T None	10 5 4,,g484,4,	dataset=solve_outline group=outline_all8 predict=image image_width=small image_height=small task_pixels=a
simonsolvev1 'O5T' predict the image	I0 34 19 8,,,,b8k5e7b5e7c8,,,b8k5b7e5b7b5c8,,,b8k5e7h5c8,,,b8k5b7k5c8,,,8,, O0 3 2 5a7,575 I1 52 18 8,,,,,b8z5q5b78,,,b8z5h5h7b58,,,b8h5b7h5b7h5b7k58,,,b8h7b5h7b5h7n58,,,8 O1 4 2 b57,b75 I2 35 54 8,,b8b7b5b7h5b7b5b7d8,,,b8b5e7k5e7d8,,,b8e5b7n5b7d8,,,b8b5b7n5b7b5d8,,,b8h5b7b5e7b5b7d8,,,b8k5e7b5e7d8,,,b8n5b7e5b7d8,,,b8k5b7e5b7b5d8,,,b8q5b7b5b7d8,,,b8t5e7d8,,,b8w5b7d8,,,b8t5b7b5d8,,,b8h5b7b5b7h5d8,,,b8k5e7h5d8,,,b8n5b7h5d8,,,b8k5b7k5d8,,,8,,, O2 3 4 757,5a7,a57,575 I3 18 35 8,,,,,8h5b7d8,,,8e5b7b5d8,,,8h5b7d8,,,8b5b7e5d8,,,8b7h5d8,,,8b5b7e5d8,,,8h5b7d8,,,8e5b7b5d8,,,8h5b7d8,,,8,, O3 2 3 57,75,57 I4T 19 50 8,c8k7b8,,,c8k5b8,,,c8b7b5b7b5b8,,,,,,c8k5b8,,,,,,,,,,,,c8e7e5b8,,,c8k5b8,,,c8b7h5b8,,,,,,c8e7e5b8,,,c8k5b8,,,c8b7h5b8,,,,,,8 O4T None I5T 55 33 8,,c8n5e7e5e7n5b8,,,c8n5b7b5b7b5b7b5b7k5b8,,,c8n5e7e5e7n5b8,,,c8n5e7q5e7b5b8,,,c8n5b7b5b7n5b7b5b7b8,,,c8n5e7q5e7b5b8,,,c8n5e7e5e7n5b8,,,c8n5b7b5b7b5b7b5b7k5b8,,,c8n5e7e5e7n5b8,,,8,,, O5T None	4 3 5a75,5757,5a75	dataset=solve_fractal group=fractal_to_pattern predict=image image_width=other image_height=other task_pixels=e
Simon-Image-Dilation mask when doing dilation tb2	6 7 0,07a070,7d0,07a070,a07070,4a07a0,a7a070	6 7 01a010,12a020,a2a020,121010,a12a10,2a1a20,a10a10	dataset=dilation group=apply_dilation image_width=small image_height=small connectivity=tb2
simons-Arc-Histogram, perform minimum	6:1536,7:1530,4:1329,0:1196,5:690,1:529,9:279,3:171,8:101 7:1546,2:1411,9:1190,4:1104,8:1071,0:1041,5:595,6:186	7:1530,4:1104,0:1041,5:595,9:279,6:186,8:101	dataset=histogram_two group=min histogram_size=e
Simon-ARC-Image-Symmetry apply symmetry vstack(flipx orig flipy orig orig)	1 16 6,,,,5,,,,,7,,,3,,,9	1 80 6,,,,5,,,,,7,,,3,,,9,6,,,,5,,,,,7,,,3,,,9,,3,,,7,,,5,,,,,6,,,,,,,,5,,,,,7,,,3,,,9,6,,,,5,,,,,7,,,3,,,9	dataset=symmetry group=symmetry image_width=small image_height=medium instruction_sequence='vstack(flipx orig flipy orig orig)'
SimonsImageMass max mass 4, connectivity 8	9 3 9,c945b9,e9a59	9 3 0,c0a1b0,e0a10	dataset=mass group=max_mass image_width=small image_height=small connectivity=PixelConnectivity.ALL8 max_mass=4
SIMONSOLVEV1, 'O4T', predict the image	I0 2 5 48,4,04,,84 O0 2 4 48,4,04,84 I1 4 2 a8a9,a9a5 O1 2 2 89,95 I2 2 5 91,1,,,91 O2 2 3 91,1,91 I3 6 3 9a3b9,a9c3,b95a9 O3 5 3 9a3a9,a9b3,b959 I4T 5 6 a8b4,a4824,472a4,7c4,4, O4T None I5T 3 6 353,,7a3,373,,a37 O5T None	5 5 a8b4,a4824,472a4,7c4,4	dataset=solve_compress group=compressxy predict=image image_width=small image_height=small task_pixels=a
simon-arc-image-scale scale-y down by 2	27 30 x646,,v6a4a6,,u64c6,,p6a4a64d6,,m6b4a6a4e6,,j6b4c64g6,,g6b4e64h6,,d6b4f6a4i6,,a6b4h64k6,,a4k3l6,,6,,,,,,,,,	27 15 x646,v6a4a6,u64c6,p6a4a64d6,m6b4a6a4e6,j6b4c64g6,g6b4e64h6,d6b4f6a4i6,a6b4h64k6,a4k3l6,6,,,,	dataset=scale group=scale_input image_width=large image_height=large scalex=down1 scaley=down2
simons-arc-image-scale, Identify the transformation. x2up_y1,x1_y1	4 25 38a3,,,,,1b9,,,,,3127,,,,,23a7,,,,,8137,,,, 28 5 f3f8m3,f1t9,f3f1f2f7,f2f3m7,f8f1f3f7	x2up_y1=0,x1_y1=0	dataset=scale group=recognize_transformation image_width=small image_height=large scalex=up7 scaley=down5
simon-solve-version1 'O3T' predict the image	I0 14 9 4,,,,,,,, O0 2 18 4,,,,,,,,,,,,,,,,, I1 14 7 f7f0,f4f0,f3f7,,,f3f0,f9f0 O1 2 14 70,,40,,37,,,,,,30,,90, I2 14 2 f0f9, O2 2 4 09,,, I3T 7 6 1,3,,,1, O3T None	1 12 1,,3,,,,,,1,,,	dataset=solve_scale group=x7down_y2up predict=image image_width=medium image_height=medium task_pixels=a
SIMONARCIMAGESCALE scaley=down2	16 2 a01090i7,	16 1 a01090i7	dataset=scale group=scale_input image_width=medium image_height=small scalex=up1 scaley=down2
Simon-Solve-Version1, O2T, predict image	I0 4 3 0,1010,1919 O0 2 3 0,10,19 I1 4 2 4242,7272 O1 2 2 42,72 I2T 8 2 9b89b8,02850285 O2T None	4 2 9b8,0285	dataset=solve_symmetry group='extract_tile vstack(orig orig)' predict=image image_width=small image_height=small task_pixels=a
Simon-Solve-Version1, O5T, predict image	I0 8 6 e385,4343a954,34a93a59,b3b593,3a534943,34a3b43 O0 8 6 58e3,45a93434,9a53a943,39b5b3,34943a53,3b4a343 I1 6 8 a1b01,010601,7a0610,b1607,b16a1,a76b0,a16b1,b3b1 O1 6 8 1b0a1,106010,016a07,706b1,a16b1,b06a7,b16a1,b1b3 I2 8 3 86b38a5,7a3b5a2,3b58263 O2 8 3 a58b368,a2b5a37,3628b53 I3 3 5 a90,910,106,a01,091 O3 3 5 0a9,019,601,1a0,190 I4T 5 9 7c8,378a5,53838,57873,873a6,853a8,38585,83583,a3838 O4T None I5T 9 3 434b2a92,2b75b08,2a3258b3 O5T None	9 3 2a9b2434,8b05b72,b3852a32	dataset=solve_rotate group=flipx predict=image image_width=small image_height=small task_pixels=a
SIMONSARCIMAGESCALE scalex=down6 scaley=up6	30 1 k3q7	5 6 a3b7,,,,,	dataset=scale group=scale_input image_width=large image_height=small scalex=down6 scaley=up6
Half rotate SimonsArcRleImage	4 5 b50,3b5,a2a6,a562,3a53	4 5 3a53,26a5,a6a2,b53,0b5	dataset=image_deserialize group=rotate_180 image_width=small image_height=small
SimonCellularAutomaton, Identify the transformation. highlife_wrap,gameoflife_nowrap	12 14 1,,,,,,,,,,,,, 12 14 1,,,,,,,,,,,,,	highlife_wrap=1,gameoflife_nowrap=1	dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=medium image_height=medium
simon-solve-version1, 'O2T', predict the image	I0 6 5 a313a1,b1913,b14a9,b4191,a13a14 O0 5 6 13914,a1a91,394a1,b143,3a141, I1 5 1 c03 O1 1 5 3,0,,, I2T 1 9 7,,,,,,,, O2T None I3T 9 6 3,c30a303,b30386a5,a3b8a5a3,a385d3,3 O3T None	9 1 7	dataset=solve_rotate group=rotate_ccw predict=image image_width=small image_height=small task_pixels=a
simons-image-dilation dilation mask with connectivity tlbr2	3 15 a84,,,,,842,,,848,,898,8,,,	3 15 010,0a1,,,1,121,,,,,021,a01,0,,	dataset=dilation group=apply_dilation image_width=small image_height=medium connectivity=tlbr2

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.