instruction stringlengths 18 163 | input stringlengths 4 1.77k | output stringlengths 1 4.25k | benchmark stringlengths 48 150 |
|---|---|---|---|
Simon-Image-Scale, Given two images, recognize the transformations. x1_y1,x2up_y1 | 6 28 a82b5,,,,8a2898,,,,825a85,,,,589b8,,,,8a2b8,,,,c892,,,,85c8,,,
12 7 c8a2e5,a8c2a8a9a8,a8a2a5c8a5,a5a8a9e8,a8c2e8,g8a9a2,a8a5g8 | x1_y1=0,x2up_y1=0 | dataset=scale group=recognize_transformation image_width=small image_height=large scalex=up2 scaley=down4 |
simon-arc-image-scale, Given two images, recognize the transformation. x3up_y1,x3down_y5down,x2up_y1 | 21 20 e8b6h5b6,,,,,b1k8e6,,,,,h8h6b8,,,,,b8h6h8,,,,
7 4 a86b56,1c8a6,b8b68,8b6b8 | x3up_y1=0,x3down_y5down=1,x2up_y1=0 | dataset=scale group=recognize_transformation image_width=large image_height=medium scalex=down3 scaley=down5 |
Simon-Image-Mass max mass 3, connectivity 8 | 19 5 c46b46a464b6464,646c4a64e6b4,a646c4a64b641b6,64a6b46b46c2164,4g6a4a646c4 | 19 5 c01f01c010,0,m0a1b0,o01a0,l0a1c0 | dataset=mass group=max_mass image_width=medium image_height=small connectivity=PixelConnectivity.ALL8 max_mass=3 |
simon-arc-image-scale, Given two images, recognize the transformation. x2up_y1,x1_y1,x3up_y1,x4up_y1,x5up_y1 | 16 5 e0a8a3a9a0a9,a0c3i7,a0a3c8c0a3a0,a0a3c8a3a0a9a0,a3e0a3a9c3
8 15 b083909,,,0a3d7,,,03a8a030,,,03a83090,,,3b039a3,, | x2up_y1=0,x1_y1=0,x3up_y1=0,x4up_y1=0,x5up_y1=0 | dataset=scale group=recognize_transformation image_width=medium image_height=small scalex=down2 scaley=up3 |
simon-solve-v1 'O5T' predict the image | I0
6 6 c303,,b3043,a3a843,c2a3,3
O0
6 6 1,12c1,1,,,
I1
9 8 e40a4,d40424,c40b42,c40a4a6,b40b6a4,a4a6a49a4,d49b4,4
O1
9 8 1,1a2e1,,12f1,1,,,
I2
9 4 3a4c8a4,238e4,a43e4,4
O2
9 4 1,,c1c21,1
I3
9 8 94f9,a9a4d9,9a39a4949,a6209a4a9,b904c9,b94d9,9,
O3
9 8 1,,,,,12c1a21,12b1b21,1
I4
10 8 7,,,,,,,
O4
10 8 1,1g21,,,,,,1
I5T
7 10 e93,c9703,b90703,a909703,a90a975,90b975,0c970,9a3b90,b9a390,d9a3
O5T
None
I6T
9 4 b3c5a1,1271a5b1,a0f1,1
O6T
None | 7 10 1,12d1,1,,,,,,, | dataset=solve_outline group=outline_all8 predict=image image_width=small image_height=small task_pixels=b |
SimonsImageSymmetry symmetry vstack(flipy orig) | 9 17 d4b74,474c7a4,a7a474a74,a7a4b7a4,4a7a47a47,b7c4a7,a74c7a4,d4b74,a4b7a4a7,74b747a4,4a747b47,c4a74a7,747a4a747,47b4c7,e4747,a7a4c74,74a7a47a4 | 9 34 74a7a47a4,a7a4c74,e4747,47b4c7,747a4a747,c4a74a7,4a747b47,74b747a4,a4b7a4a7,d4b74,a74c7a4,b7c4a7,4a7a47a47,a7a4b7a4,a7a474a74,474c7a4,d4b74,,474c7a4,a7a474a74,a7a4b7a4,4a7a47a47,b7c4a7,a74c7a4,d4b74,a4b7a4a7,74b747a4,4a747b47,c4a74a7,747a4a747,47b4c7,e4747,a7a4c74,74a7a47a4 | dataset=symmetry group=symmetry image_width=small image_height=medium instruction_sequence='vstack(flipy orig)' |
SIMONARCIMAGEPAIR, Remove Histogram A colors from Histogram B | 8 4 b4a0b4,417852a4,4a108345,a43d4
8 9 49a49a49,a9487494,9a87c4,490c94,a909b49,90949a49,9a49b49,b9b4a9,d9b4 | 9:33 | dataset=image_pair group=b_remove_a_colors image_width=small image_height=small |
simon-solve-v1 predict image for O3T | I0
4 9 6,,65a6,6526,45a6,6356,a656,,
O0
4 9 6,,a656,6256,a654,6536,65a6,,
I1
9 8 9,,b916c9,b93a1b9,a9b19b1,d9c1,9,
O1
9 8 9,,c961b9,b9a13b9,b19b1a9,c1d9,9,
I2
8 9 1a215a13,21a252a1,a12085a1,32108531,a1041521,2a124523,310a1852,a1024a12,21b9821
O2
8 9 3a151a21,a125a212,a15802a1,13580123,125140a1,32542a12,258a1013,2a1420a1,128b912
I3T
9 10 a59585985,b59b5a9,5a97c59,9592a7b5,589259a75,58a5295a7,a9592a7a5,595a7a585,957525858,59a58a595
O3T
None
I4T
10 5 4,b4b1c4,e4b14,c4b1b4,a4b5c24
O4T
None | 9 10 5895859a5,a9b59b5,9c57a95,b5a72959,5a7952985,a7592a585,a5a7295a9,58a5a7595,858525759,59a58a595 | dataset=solve_rotate group=flipx predict=image image_width=small image_height=small task_pixels=a |
Simon-Solve-V1 predict image for 'O4T' | I0
4 2 a3a9,7191
O0
4 2 1917,3a93
I1
2 6 71,13,16,13,,1
O1
2 6 1,17,31,61,31,
I2
6 6 9a1b2,c271,147b1,71a717,71b71,a171a7
O2
6 6 171a71,a1b29,b2712,47c1,1a71a7,1b717
I3
6 5 c161,b16a1,1,,
O3
6 5 1,b16a1,a16b1,1,
I4T
5 3 a8b1,8c1,18b1
O4T
None
I5T
3 1 1
O5T
None | 5 3 8c1,8b18,c18 | dataset=solve_translate group=translate_xminus1yplus1 predict=image image_width=small image_height=small task_pixels=a |
simons-arc-image-symmetry apply symmetry vstack(orig flipy orig orig orig) | 29 26 0,,b0b1v0,e0c1e0a2j0,i0d1030a2h0,n0d1b2e0,o03b0c12c0,p03e0b1a0,p03j0,,,,,,,q03i0,p073i0,m0b703i0,d0f5a7c03i0,0,,,,,, | 29 130 0,,b0b1v0,e0c1e0a2j0,i0d1030a2h0,n0d1b2e0,o03b0c12c0,p03e0b1a0,p03j0,,,,,,,q03i0,p073i0,m0b703i0,d0f5a7c03i0,0,,,,,,,,,,,,,,d0f5a7c03i0,m0b703i0,p073i0,q03i0,p03j0,,,,,,,p03e0b1a0,o03b0c12c0,n0d1b2e0,i0d1030a2h0,e0c1e0a2j0,b0b1v0,0,,,,b0b1v0,e0c1e0a2j0,i0d1030a2h0,n0d1b2e0,o03b0c12c0,p03e0b1a0,p03j0,,,,,,,q03i0,p073i0,m0b703i0,d0f5a7c03i0,0,,,,,,,,,b0b1v0,e0c1e0a2j0,i0d1030a2h0,n0d1b2e0,o03b0c12c0,p03e0b1a0,p03j0,,,,,,,q03i0,p073i0,m0b703i0,d0f5a7c03i0,0,,,,,,,,,b0b1v0,e0c1e0a2j0,i0d1030a2h0,n0d1b2e0,o03b0c12c0,p03e0b1a0,p03j0,,,,,,,q03i0,p073i0,m0b703i0,d0f5a7c03i0,0,,,,,, | dataset=symmetry group=symmetry image_width=large image_height=large instruction_sequence='vstack(orig flipy orig orig orig)' |
SIMONSIMAGESCALE, Given two images, recognize the transformations. x1_y1,x4up_y1,x2up_y1,x3up_y1 | 7 10 1,,,,3,,,,,
1 5 1,,3,, | x1_y1=0,x4up_y1=0,x2up_y1=0,x3up_y1=0 | dataset=scale group=recognize_transformation image_width=small image_height=small scalex=down7 scaley=down2 |
SIMONSOLVEV1, 'O3T', predict the image | I0
2 7 93,,,,,,
O0
14 1 f9f3
I1
1 14 9,,,,,,,3,,,,,,
O1
7 2 9,3
I2
2 7 9,,,,,,
O2
14 1 9
I3T
1 14 5,,,,,,,1,,,,,,
O3T
None | 7 2 5,1 | dataset=solve_scale group=x7up_y7down predict=image image_width=medium image_height=medium task_pixels=a |
SimonsImageDilation mask when doing dilation NEAREST4 | 6 13 749479,a476a9,67a6a9,b6929,b6429,9a6429,c629,647298,764297,647296,6b794,7a6a96,a64a67 | 6 13 12a321,a2a320,d20,0a1321,101321,b1a21,b1a32,234b3,3a4a23,2a3a23,231a23,a2a323,a1c2 | dataset=dilation group=apply_dilation image_width=small image_height=medium connectivity=nearest4 |
Rotate clock-wise SIMONSARCRLEIMAGE | 5 10 a5b0,0,05105,a0105,52b0,02020,01020,052a0,0,a05a0 | 10 5 d05b05,a051a20505,502b0a1a0,b0a2d0,e0a5a0 | dataset=image_deserialize group=rotate_cw image_width=small image_height=small |
Simon-Solve-Version1 predict image for O4T | I0
4 10 6895,5895,08a6,5281,2681,,2581,2658,5158,0616
O0
4 10 8,,,,,,,,,
I1
10 11 d94c9,,9,e95b9,,,9,,,,
O1
10 11 9,,,,,,,,,,
I2
11 7 a7857407a07,710804b750,e876a07,10b4c806,0a757b4756,7a0a747a0a7,70a60a7a606
O2
11 7 7,,,,,,
I3
7 10 20a2021,2b0291,a2a0912,2a09212,b29212,a190120,28b1a2,928a1a2,0a280a2,2d02
O3
7 10 2,,,,,,,,,
I4T
10 7 50806a5b6,5758a5b60,d8b656,70b1a8a60,d60a1a5,5a606a0a56,6560505052
O4T
None | 10 7 6,,,,,, | dataset=solve_color group=most_popular_color_same predict=image image_width=medium image_height=medium task_pixels=b |
SIMON-SOLVE-VERSION1 predict image for 'O4T' | I0
17 15 1,b1b5e0d1,,,b1b5b0b5d1,,,b1e5b0d1,,,b1b5e0d1,,,1,
O0
27 48 h0b5e0b5e0,,,h0b5b0e5b0b5,,,h0e5b0e5b0,,,h0b5e0b5e0,,,h0b5n0,,,h0b5b0b5h0,,,h0e5k0,,,h0b5n0,,,q0b5e0,,,q0b5b0b5,,,q0e5b0,,,q0b5e0,,,h0b5e0b5e0,,,h0b5b0e5b0b5,,,h0e5b0e5b0,,,h0b5e0b5e0,,
I1
15 14 1,c1h0a1,,,c1h5a1,,,c1e5b0a1,,,c1b0b5b0a1,,,1
O1
27 48 0,,,5,,,e5b0e5b0e5b0,,,b0b5e0b5e0b5b0,,,0,,,,,,,,,,,,,,,q0h5,,,q0e5b0,,,t0b5b0,,,0,,,h5h0h5,,,e5k0e5b0,,,b0b5n0b5b0,,
I2
18 13 1,,,c1b5b0b5b0a1,,,c1b5e0b5a1,,,1,,,
O2
48 12 k0b5b0b5n0b5b0b5b0,,,k0b5e0b5k0b5e0b5,,,k0b5b0b5b0b5b0b5n0,,,k0b5e0e5e0b5k0,,
I3
16 17 1,,,,,b1h0c1,,,b1h5c1,,,b1b0e5c1,,,1,,
O3
27 27 0,,,5,,,b0e5b0e5b0e5,,,0,,,,,,,,,,,,h5q0,,,b0e5q0,,
I4T
12 13 1,,,b1b5b0b1,,,b1b0b5b1,,,1,,,
O4T
None | 12 12 e0b5b0,,,h0b5,,,b5h0,,,b0b5e0,, | dataset=solve_fractal group=pattern_to_fractal predict=image image_width=other image_height=other task_pixels=e |
SimonArcImageScale scale-x up by 5, scale-y up by 4 | 6 1 a1a983 | 30 4 i1i9d8d3,,, | dataset=scale group=scale_input image_width=small image_height=small scalex=up5 scaley=up4 |
process SIMONSARCIMAGE and return flipb | 4 18 a5a3,3b5,5383,a683,a383,3825,,,5825,4823,4325,4323,4a32,a532,5a32,,5b3, | 18 4 a3c2353c5b353,e3f2b853,c35b3d8363a5,d5c45c36535 | dataset=image_deserialize group=flipb image_width=small image_height=medium |
SIMONSOLVEV1 'O4T' predict the image | I0
5 2 3a794,b139
O0
4 2 3794,a139
I1
2 3 21,,
O1
2 1 21
I2
3 3 2a7,727,
O2
3 2 2a7,727
I3T
2 4 6,62,26,
O3T
None
I4T
3 4 a78,a71,,7
O4T
None | 2 3 78,71,7 | dataset=solve_compress group=compressxy predict=image image_width=small image_height=small task_pixels=a |
SIMON-SOLVE-V1 predict image for O3T | I0
12 15 c9g7,,,,,c9c7c6,,,,,4,,,,
O0
3 3 9a7,976,4
I1
12 15 4,,,,,c6c4c0,,,,,c4c2c4,,,,
O1
3 3 4,640,424
I2
20 20 k6c9c6,,,,,,,,,,,,,,,o6c3,,,,
O2
5 4 b696,,,c63
I3T
16 5 g4c6c4,,,,
O3T
None
I4T
4 5 2,,,,
O4T
None | 4 1 a464 | dataset=solve_scale group=x4down_y5down predict=image image_width=medium image_height=medium task_pixels=b |
SIMONARCIMAGEEROSION erosion mask all8 | 20 16 0,,,,,,,k09f0,f0a8b909e0,m09d0,,m019c0,d0b8c0a1e0,g0c80a5d0,k0b8a5b0,o085a0 | 20 16 0,0q10,,,,,0i1b0d10,0d1h0c10,0d1i0b10,,0k1c0a10,0b1d0a1e0a10,0b1l0a10,0b1m010,0e1l0,0 | dataset=erosion group=apply_erosion image_width=medium image_height=medium connectivity=all8 |
SimonsImageMass max mass 3, connectivity topleftbottomright2 | 16 2 g8b5a9a58,a87i0a68 | 16 2 1, | dataset=mass group=max_mass image_width=medium image_height=small connectivity=PixelConnectivity.TLBR2 max_mass=3 |
simons-image-erosion erosion mask with connectivity corner4 | 17 14 5058a5858c58085,5a0a8c58d585,8b50a898058a5a89,c58a58f598,a58058b58a5a8b5,a598a9a5a8a595909,95958a5850585a858,950a859a0a5858b5,5b8a5a0d58058,5a8a5059590505a80,585a08505a808c5,0a58a5805058080a8,85b80a58a5090b5,858b58a59a8a5850 | 17 14 0,j01d0,k0a1b0,0,,f01h0,0,h01f0,0,,,,, | dataset=erosion group=apply_erosion image_width=medium image_height=medium connectivity=corner4 |
SIMONSIMAGEEROSION erosion mask with connectivity TLBR2 | 14 10 93b98b9a3a93,d98g9,3a9b30d939,930c90b98a9,b901b9083a93,93a9a01901b98,c9390a1019a3,98a938909b1a9,3989a8a90a91a9,a98939b3b989 | 14 10 0,01d0b1a010,a01c0b101a0,f01a01b0,0101a01c01a0,a01j0,01c01b0a1a0,a01b0a1c010,h01c0,0 | dataset=erosion group=apply_erosion image_width=medium image_height=small connectivity=tlbr2 |
SIMONSARCIMAGESCALE, Recognize the transformation between input and output. x1_y1,x2up_y1 | 4 28 8a39,,,,,,,2a86,,,,,,,2398,,,,,,,a939,,,,,,
28 4 f8m3f9,f2m8f6,f2f3f9f8,m9f3f9 | x1_y1=0,x2up_y1=0 | dataset=scale group=recognize_transformation image_width=small image_height=large scalex=up7 scaley=down7 |
SIMON-ARC-HISTOGRAM, number of unique colors | 5:5269,4:3198,8:2853,1:635,7:125 | 5 | dataset=histogram_one group=number_of_unique_colors histogram_size=e |
Simon-Solve-V1, O3T, predict image | I0
4 8 53a4,b43,04a1,4130,3434,03a4,5434,0340
O0
8 4 4310b40,a41a3434,3a414343,54043050
I1
8 10 020a5b0,035202a0,2320c1,2301c0,03e0,3a2d0,a32d0,3f0,30202b0,0
O1
10 8 a01f0,,021f0,501d020,5201e0,052a0a2020,2c323b0,a0a20c30
I2
10 7 73b1d8,838a7a8b7,73c8b78,3a787d8,3a7d8a7,3a7a8c17,8c1a7a87
O2
7 10 87a8b7,8a78718,8a7a818,a87a817,d817,1787a81,17c81,1a8b71,b3b71,787b38
I3T
7 3 58185a8,85a1a82,8528281
O3T
None
I4T
3 4 a89,545,a50,5
O4T
None | 3 7 821,8,582,818,a12,8a5,5a8 | dataset=solve_rotate group=rotate_ccw predict=image image_width=small image_height=small task_pixels=a |
SimonImageDilation mask when doing dilation CORNER4 | 13 6 a878b5a87b8,7a8a7a3b53a8,7c84037a8a7,83a5c8a3878,7a87a507a83a8,3878785a83a78 | 13 6 0b1a21b2a10,120a34a3434a1,a2323a424b31,042b34323131,23a2b341a212,d12d120 | dataset=dilation group=apply_dilation image_width=medium image_height=small connectivity=corner4 |
SIMONSARCIMAGEMASS max mass 7, connectivity leftright2 | 13 5 j727,2d75e7,f7a52b7,2f72a517,j7a5 | 13 5 j0a1,1,,,j0a1 | dataset=mass group=max_mass image_width=medium image_height=small connectivity=PixelConnectivity.LR2 max_mass=7 |
SimonsCellularAutomaton, What transformation happens here. maze_nowrap,cave_wrap,highlife_nowrap | 14 17 h6c26,c62b6b2b6,b6f2c6,b6e2d6,f6a2d6,f6c2b6,g62d6,2l6,62k6,62e6a2c6,g6a2c6,6,a62j6,a62b6a2e6,e6a2e6,h6a2b6,a62f6a2a6
14 17 g62a62a6,b6a262f6,i62b6,b62i6,c6a2g6,6,f6a2d6,6,a2k6,g6a2c6,,6,,e6a2e6,e6b2d6,h6b2a6, | maze_nowrap=0,cave_wrap=0,highlife_nowrap=1 | dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=medium image_height=medium |
simons-arc-rle-image-pair, Histogram A without colors of Histogram B | 16 3 79a79a79b7a9797,c9c79a7979a7,a97c9797c9a7
5 1 7c3 | 9:24 | dataset=image_pair group=a_remove_b_colors image_width=medium image_height=small |
SIMONSOLVEV1, O4T, predict image | I0
2 6 2,21,52,32,,2
O0
2 5 2,21,52,32,2
I1
6 2 1d7,156b1
O1
4 2 1b7,1561
I2
2 4 97,37,39,
O2
2 3 97,37,39
I3
2 6 08,,03,80,82,06
O3
2 5 08,03,80,82,06
I4T
2 4 7,,73,23
O4T
None
I5T
4 6 5,,,,,
O5T
None | 2 3 7,73,23 | dataset=solve_compress group=compressxy predict=image image_width=small image_height=small task_pixels=a |
SIMONSIMAGEEROSION mask when doing erosion TB2 | 3 5 946,,9a6,,946 | 3 5 0,101,,,0 | dataset=erosion group=apply_erosion image_width=small image_height=small connectivity=tb2 |
simon-image-erosion erosion mask corner4 | 10 8 c48a48a4,8a48e4,e48b4,c48a48a4,b4a8d4,a8b484848,4,a8g4 | 10 8 0,0a101d0,f01a0,01c01010,f01a0,e01010,b010101a0,0 | dataset=erosion group=apply_erosion image_width=small image_height=small connectivity=corner4 |
SIMON-SOLVE-VERSION1 'O3T' predict the image | I0
4 1 54a2
O0
4 1 54a2
I1
1 7 0,,5,9,,4,
O1
1 7 5,9,,4,,0,
I2T
7 5 73c75,72a3b7,1a97a38,71a8b9,a754a87
O2T
None
I3T
5 5 692a4,479a4,,47494,2c4
O3T
None | 5 5 479a4,47494,2c4,692a4,479a4 | dataset=solve_translate group=translate_yminus2 predict=image image_width=small image_height=small task_pixels=a |
Simons-Cellular-Automata, What transformation happens. cave_nowrap,serviettes_nowrap | 13 22 4d2c4b2,2a4a242a4c2,42b4a24242a4,f4a24242,24a242424b24,a24b24a2a424,242424a24b24,24242b42c4,a424b2424b2,c2b4a2b42,a42c424b24,a24a2a424a242,a42424a2424a2,b2a4b2424a2,a424e2424,4f2b4a2,4a24a2a42c4,2424a2d4a2,242424d2a4,b242e4a2,24f24242,b424a24a2a42
13 22 4b2424a24242,2a4a24a24a242,42a4b24242a4,b24a24a24242,24a242424b24,a24b24a2a424,242424a24b24,24242b42c4,a424b2424b2,e24a2b42,a42424a24b24,a24b24242a42,a42424a242424,b2e424a2,a4242b4a2424,b2c424c2,4a2c4a2c4,2424a2c4b2,242424d2a4,24242e4a2,24f24242,e424a2a42 | cave_nowrap=0,serviettes_nowrap=0 | dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=medium image_height=large |
Simon-Solve-Version1, 'O2T', predict the image | I0
8 2 a423c4,4b8c4
O0
8 2 a423c4,4b8c4
I1
2 2 24,3
O1
2 2 24,3
I2T
2 2 5,4
O2T
None
I3T
2 7 15,,89,87,,7,53
O3T
None | 2 2 5,4 | dataset=solve_translate group=translate_yplus2 predict=image image_width=small image_height=small task_pixels=a |
SimonArcImageScale scale-y up by 5 | 11 3 9094b9c8,a94b78a909,9a7c06946 | 11 15 9094b9c8,,,,,a94b78a909,,,,,9a7c06946,,,, | dataset=scale group=scale_input image_width=medium image_height=small scalex=down1 scaley=up5 |
SIMON-SOLVE-V1, O5T, predict image | I0
4 4 1,b12,,1a51
O0
3 3 1,a12,151
I1
4 4 1,b16,,1a51
O1
3 3 1,a16,151
I2
3 2 1,
O2
1 1 1
I3
6 2 91b50,31c9
O3
4 2 9150,31a9
I4T
2 4 83,,90,27
O4T
None
I5T
4 5 7a46,3b6,,6,65a6
O5T
None | 4 4 7a46,3b6,6,65a6 | dataset=solve_compress group=compressxy predict=image image_width=small image_height=small task_pixels=a |
SimonImageSymmetry Symmetry 2x2(flipx flipy flipx flipx) | 15 12 73757a5a735b75,b757357b3b75,3a7b5c73c7,a5a7a5375a7a575,37573d5753a7,b75b7a53d7,75e73a73b7,73a7353735a7a57,3a75375753b737,75735357375b73,75737a5b7a57a5,7a537c575c7 | 30 24 5b753a7a57573a7a537c575c7,5b7b375375c75737a5b7a57a5,c73c7b5a7375735357375b73,57a5a7573a5a7a53a75375753b737,a7357d53757373a7353735a7a57,d73a5b75c75e73a73b7,b73a73e75c75b7a53d7,7a5a7537353a73737573d5753a7,73b73575735a73a5a7a5375a7a575,3b7573753537573a7b5c73c7,a57a5b7a57375c757357b3b75,c757c573a5a73757a5a735b75,5b753a7a5757375b753a7a575737,5b7b375375b75b7b375375b7,c73c7b5a73c73c7b5a73,57a5a7573a5a7b57a5a7573a5a7a5,a7357d537573a7357d537573,d73a5b75g73a5b75b7,b73a73e75c73a73e757,7a5a7537353a73a7a5a7537353a737,73b73575735a7373b73575735a73,3b7573753537573b757375353757,a57a5b7a573757a57a5b7a573757,c757c573a5d757c573a57 | dataset=symmetry group=symmetry image_width=medium image_height=medium instruction_sequence='2x2(flipx flipy flipx flipx)' |
SIMON-SOLVE-V1 predict image for O2T | I0
9 3 a2a323b2,2a3a23a23,a3a23c2
O0
3 9 232,2,,a32,a23,3a2,a32,2a3,a23
I1
3 2 363,8a3
O1
2 3 3,63,38
I2T
2 3 3,03,3
O2T
None | 3 2 3,303 | dataset=solve_rotate group=rotate_ccw predict=image image_width=small image_height=small task_pixels=a |
Simon-Image-Symmetry apply symmetry vstack(orig flipy flipx 180 flipx) | 27 18 a7a37a37c37e37f3,c37i373a7g3,7d37i37c37b37,3737a37h3b73b737a3,7m37b37f3,7g3737b37e3a7b3,7h3a7b3a7b37d37,b3a7c37a37b37c37d3,b37e37d37h37,37h37a3g5d3,c37h37b3c4d3,a37a37h37a37343a7b3,g37a37b373734f3,b37b37a37c3a734g3,a37k37347g3,3a7f3a7e3a7e37,b3a7a37b3a7b37a37f3,7c3737a37a37b37c3737a3 | 27 90 a7a37a37c37e37f3,c37i373a7g3,7d37i37c37b37,3737a37h3b73b737a3,7m37b37f3,7g3737b37e3a7b3,7h3a7b3a7b37d37,b3a7c37a37b37c37d3,b37e37d37h37,37h37a3g5d3,c37h37b3c4d3,a37a37h37a37343a7b3,g37a37b373734f3,b37b37a37c3a734g3,a37k37347g3,3a7f3a7e3a7e37,b3a7a37b3a7b37a37f3,7c3737a37a37b37c3737a3,,b3a7a37b3a7b37a37f3,3a7f3a7e3a7e37,a37k37347g3,b37b37a37c3a734g3,g37a37b373734f3,a37a37h37a37343a7b3,c37h37b3c4d3,37h37a3g5d3,b37e37d37h37,b3a7c37a37b37c37d3,7h3a7b3a7b37d37,7g3737b37e3a7b3,7m37b37f3,3737a37h3b73b737a3,7d37i37c37b37,c37i373a7g3,a7a37a37c37e37f3,f37e37c37a37a3a7,g3a737i37c3,7b37c37i37d37,a373b73b7h37a37373,f37b37m37,b3a7e37b3737g37,7d37b3a7b3a7h37,d37c37b37a37c3a7b3,7h37d37e37b3,d3g5a37h373,d3c4b37h37c3,b3a73437a37h37a37a3,f343737b37a37g3,g343a7c37a37b37b3,g37437k37a3,7e3a7e3a7f3a73,f37a37b3a7b37a3a7b3,a3737c37b37a37a3737c37,,f37a37b3a7b37a3a7b3,7e3a7e3a7f3a73,g37437k37a3,g343a7c37a37b37b3,f343737b37a37g3,b3a73437a37h37a37a3,d3c4b37h37c3,d3g5a37h373,7h37d37e37b3,d37c37b37a37c3a7b3,7d37b3a7b3a7h37,b3a7e37b3737g37,f37b37m37,a373b73b7h37a37373,7b37c37i37d37,g3a737i37c3,f37e37c37a37a3a7,,g3a737i37c3,7b37c37i37d37,a373b73b7h37a37373,f37b37m37,b3a7e37b3737g37,7d37b3a7b3a7h37,d37c37b37a37c3a7b3,7h37d37e37b3,d3g5a37h373,d3c4b37h37c3,b3a73437a37h37a37a3,f343737b37a37g3,g343a7c37a37b37b3,g37437k37a3,7e3a7e3a7f3a73,f37a37b3a7b37a3a7b3,a3737c37b37a37a3737c37 | dataset=symmetry group=symmetry image_width=large image_height=medium instruction_sequence='vstack(orig flipy flipx 180 flipx)' |
Simon-Image-Scale scale-y up by 7 | 19 4 9c464a9b49d49,9b4049e49d4,a464a1a469494949a64,49c4a6a49e464 | 19 28 9c464a9b49d49,,,,,,,9b4049e49d4,,,,,,,a464a1a469494949a64,,,,,,,49c4a6a49e464,,,,,, | dataset=scale group=scale_input image_width=medium image_height=small scalex=up1 scaley=up7 |
SIMONSOLVEVERSION1 'O5T' predict the image | I0
8 6 a8b40a8,b8a0b8,8a0d8,1f8,c2c8,f58
O0
8 6 5,,e575,d5a75,5,
I1
9 7 a01501b0,5d0515,010a135a0,a05a35b0,a05a05b0,05a05c0,01a050515
O1
9 7 5,,,,f575,5,
I2
8 7 6a739b6,a6389b6,a6369b6,636869a6,3a6869a6,368a69a6,6
O2
8 7 5,e575,5,,,,
I3
4 8 3,,,,,,,
O3
4 8 5,5a75,,,,,,5
I4
10 8 8a781c81,b8a7d8,814a61c8,a84a8a61a8,14c81a68,84c81b8,h81,8
O4
10 8 5,f57a5,5,,,b5a7d5,,5
I5T
10 8 36g3,3a0d6a3,b3a0d3,d3a0b3,f3a03,h30,c36d3,b36c363
O5T
None
I6T
10 8 c582c5,5a258a5b8,857a52a758,d5a7b5,757258c5,7d57b5,c58b525,575c7a52
O6T
None | 10 8 5,,,57g5,5b7e5,5a7f5,57c57b5,5 | dataset=solve_outline group=outline_all8 predict=image image_width=small image_height=small task_pixels=b |
simons-image-symmetry symmetry hstack(orig flipy) | 30 11 a0180a1a01j01d01a0,a0181d0e2a01h0a1,1b28d2j01b0a1040,b04850a14i0101e01,c08b401b01041a01c01a04a0,c08a01a0a1a0104c01d01a0,010148b05b41j04a040,01b08a0105a0a41a01a01a01b010,01404c0415010a4e01e0,j04e04j0,g041c01010101014b01a0 | 60 11 a0180a1a01j01d01i041c01010101014b01a0,a0181d0e2a01h0a1j04e04j0,1b28d2j01b0a104a01404c0415010a4e01e0,b04850a14i0101e0101b08a0105a0a41a01a01a01b010,c08b401b01041a01c01a04b010148b05b41j04a040,c08a01a0a1a0104c01d01e08a01a0a1a0104c01d01a0,010148b05b41j04a04d08b401b01041a01c01a04a0,01b08a0105a0a41a01a01a01b01c04850a14i0101e01,01404c0415010a4e01e01b28d2j01b0a1040,j04e04l0181d0e2a01h0a1,g041c01010101014b01c0180a1a01j01d01a0 | dataset=symmetry group=symmetry image_width=large image_height=medium instruction_sequence='hstack(orig flipy)' |
Process SIMONARCRLEIMAGEPAIR and return the sum of histograms | 14 10 a2a6262a96c9,9a6b979a62626,69e8e9,a98d92b969,6989a2c96969,698d96a9296,698a926b92a92,c9a6b9696a9,a6929a269292a6,c9626a969629
20 1 b17k218a7 | 9:76,6:33,2:32,8:11,1:4,7:4 | dataset=image_pair group=add_histograms image_width=medium image_height=small |
SIMON-SOLVE-V1, 'O6T', predict the image | I0
7 9 8,8a6c8,b8b68,c82a8,87872a8,b82a87,a827b8,a82c8,82d8
O0
7 9 6,,,,,,,d606,6
I1
9 8 6,,a6f8,6,,,,
O1
9 8 6,,,,6f06,,,6
I2
8 4 e858,,c8a158,8b1c8
O2
8 4 6,6a0d6,6,
I3
9 9 0,,,,e05a0,d05b0,b0a50a60,a05b6b0,056e0
O3
9 9 6,6f06,,6c0c6,6b0d6,60f6,6,,
I4
6 10 d14,,,c184,c141,b1841,,a18141,a18b1,18c1
O4
6 10 6,6b0a6,6a0b6,,60c6,,6,,,
I5T
7 5 9,c97a9,b91b9,a91c9,91d9
O5T
None
I6T
7 5 c87a3,c8783,b8a7a8,b874a9,b8a048
O6T
None | 7 5 6,60d6,,,6 | dataset=solve_outline group=outline_all8 predict=image image_width=small image_height=small task_pixels=b |
simon-solve-version1, O2T, predict image | I0
4 4 a391,9395,1931,98a3
O0
4 8 a391,9395,1931,98a3,,1931,9395,a391
I1
4 4 0892,a689,9829,9628
O1
4 8 0892,a689,9829,9628,,9829,a689,0892
I2T
4 4 b86,0868,6368,6908
O2T
None | 4 8 b86,0868,6368,6908,,6368,0868,b86 | dataset=solve_symmetry group='create_symmetry vstack(orig flipy)' predict=image image_width=small image_height=small task_pixels=a |
SIMONSOLVEV1, O2T, predict image | I0
2 2 01,17
O0
2 2 17,01
I1
2 10 5,76,,56,75,85,97,57,73,7
O1
2 10 7,73,57,97,85,75,56,76,,5
I2T
10 7 178b1a818,a1a7e1,a164a781a8,18a0a17b1,a8a3a01a71,a1b83a0a3,b8a18a1a0
O2T
None
I3T
7 8 809c0,a08c0,a080890,a928b0,9a08090,b0a809,c08a0,d080
O3T
None | 10 7 b8a18a1a0,a1b83a0a3,a8a3a01a71,18a0a17b1,a164a781a8,a1a7e1,178b1a818 | dataset=solve_rotate group=flipy predict=image image_width=small image_height=small task_pixels=a |
SIMON-SOLVE-V1, O3T, predict image | I0
4 7 69a6,,,6,,,
O0
4 7 b69,,,6,,,
I1
7 2 98c79,78d7
O1
7 2 c7a98,e78
I2T
2 2 28,82
O2T
None
I3T
2 3 4,42,2
O3T
None | 2 3 4,42,2 | dataset=solve_translate group=translate_xminus2 predict=image image_width=small image_height=small task_pixels=a |
simon-arc-image-shape shape3x3histogramdiamond4 number of unique colors | 28 26 4a7a47a47d47c47474a7b4,7a4b7a4b7d47b4747a4a74,a7a47a474c7a47a4a7c47b4,74b747474c747b47c4b74,a4a74e74a7a47e4c74,b47b4c74c71a74747a4b7,706b4b7a4747a1a4e7a4a7,a70c64b74a1b747c4c74,7a40a47b6a1474c7a4a747b4,a47047a4a17a6d74b74d7,7a4707a1a4a7d47a474747474,4b74043a4c7b4a7b47a4a74,b74a70374a7a4a7c474b7b4,7b47a403d74a74b747b4a7,4a747a40374a74b7a4b7a4a747,a47a47a40347a474d7a4a74a7,474b74a73b7a47474a747a47a4,d4a74b747a47f4a7b4,74a74a7a4b7a4a74a7a4b7b47,a7d4a74a74747a4d74a747,74a7b4b7d4b7474b74b7,a4b7a4b74a7b47b47a4a7b4,c4a74d74747c47b474a7,b47a47a4b7a4c7a47b47474,c4b7a474a747474c7474747,a474a74a747d4a7g4a7 | 28 26 1i2a121a212c1c21,l21a21b2121d2,1e2a121i21d21,f2121a21c21b2a1d2,g21k21b21a2,a23d21c21a323g212,a3232a3c21232a3j2,1b3a232b3b23l2,a2c32f3121e21c2,b2a32b34c3g2121b2,1a232b3232a3k21a2,1d2b3a21o2,d2b3s2,f2b321a21l2,f2b3i21d212,1e2a343c21b21d21a2,21e2323j21a21a2,j21m212,i21p2,1b21c21b21f2121c2,d21a21j21b21b2,g21d21b21h2,a1f21b21c21b21d2,a121q21c21,a1g21e21d212a12,121b21a2a1a21g2121a21 | dataset=shape group=shape3x3_histogram_diamond4 image_width=large image_height=large |
Rotate 180 SIMONSARCIMAGE | 22 9 8a989d898a989a8c9,c898a98c9b89b898,b89a89b8a98989a89a89,b9g82b98c989,89b89898912b898a9b8,d89b891929b89b89,a89a89b81a92a8a989b8,a8989c8989829b8b98,989a8989d82b8a98a9 | 22 9 a98a9b82d8989a8989,8b9b8928989c8989a8,b898a9a82a91b89a89a8,9b89b892919b89d8,b8a989b82198989b898,98c98b92g8b9,9a89a89898a9b89a89b8,89b89b8c98a989c8,c9a898a989d898a98 | dataset=image_deserialize group=rotate_180 image_width=large image_height=small |
SIMONS-ARC-HISTOGRAM, perform add | 7:1461,8:632,9:296
2:1041,1:88 | 7:1461,2:1041,8:632,9:296,1:88 | dataset=histogram_two group=add histogram_size=d |
Simon-Solve-V1, O3T, predict image | I0
4 5 9b0,6a02,0b2,0252,0202
O0
5 4 c20,052a0,b2a0,b069
I1
5 10 4a1a6,4a6a1,5c1,1,,19b1,,1,,
O1
10 5 h16,,g161,b1a9b161,f15a4
I2T
10 5 a01c9b5,238c5828,8a5b28b2,2c823a21,a828a2a8a2
O2T
None
I3T
5 1 a61a4
O3T
None | 1 5 4,,1,6, | dataset=solve_rotate group=flipb predict=image image_width=small image_height=small task_pixels=a |
simonsolvev1 'O3T' predict the image | I0
7 5 7b0b6,7c6a4,56b4a6,a4d6,6
O0
7 5 1,,,d1a6,1
I1
5 7 7a3a2,72302,720a2,82032,509a2,,0c2
O1
5 7 1,6b16,16a16,c16,,b1a6,1
I2
7 3 b63a63,2a623a6,b62b3
O2
7 3 1,1a6c1,1
I3T
7 5 01b010,51a01a0,0a51b0,a085101,a01b01
O3T
None | 7 5 1,e16,d161,6c161,1 | dataset=solve_erosion group=apply_erosion_tb2 predict=image image_width=small image_height=small task_pixels=a |
Simons-Image-Dilation mask when doing dilation LR2 | 3 5 7,3a2,257,525,a95 | 3 5 0,a10,121,,0a1 | dataset=dilation group=apply_dilation image_width=small image_height=small connectivity=lr2 |
SIMON-ARC-HISTOGRAM, Remove Histogram-A colors from Histogram-B | 2:1593,6:1193,0:1167,8:792,1:662
2:797 | empty | dataset=histogram_two group=b_remove_a_colors histogram_size=d |
Simon-Cellular-Automaton, What transformation happens. cave_nowrap,serviettes_wrap | 16 23 b3232f32a3,2b3b2f323,2c3c2d3a2,g32d323,2e3a23a2b32,2d3b2323c2,f3a2c3232,a32c3a2c3232,e3a2f32,3b23a2g32,a23a2b3a23a2323,a3b2a323a2a32a3,a2b32c32a32a3,d323232c323,2e3232a3a232,b3a2b3232b3a2,c3232a323c23,a32e32e3,a32f3a2c3,a2m3,b32b32g3,32323a2g32,a3b2h3a2
16 23 3,c3b2h3,d3b2g3,f3a2f3,,f3a2d323,f3a2c3a23,f3a2f3,e3a2g3,a32l3,3c2j3,a3b2c3a2d3,3,,,l3a23,3,,,,,b32k3,3 | cave_nowrap=1,serviettes_wrap=0 | dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=medium image_height=large |
SimonsArcRleImagePair, Histogram A excluding Histogram B colors | 8 7 0d585,6c5859,6c5825,56258252,03280a25,52352b5,2a52a525
14 10 2b9292b92b9,a9293d92958,2e9a23a589,e929b58a2,b93b93985a92,2d632a8a592,a91293a6a592a9,a91938a5a2c9,3a91a5b6d9,a925c92a9392 | 0:3 | dataset=image_pair group=a_remove_b_colors image_width=medium image_height=small |
Simon-ARC-Image-Dilation dilation mask tb2 | 9 4 1c404a1,404046a41,1c46b9,406a40b4 | 9 4 a10101010,a2020a121,a2a101b2,b1a0c1 | dataset=dilation group=apply_dilation image_width=small image_height=small connectivity=tb2 |
SIMON-SOLVE-VERSION1 predict image for O4T | I0
3 4 8a9,a98,298,949
O0
3 20 8a9,a98,298,949,,892,8a9,a98,8a9,a98,298,949,,298,a98,8a9,,a98,298,949
I1
4 3 a585,a035,8215
O1
4 15 a585,a035,8215,5128,53a0,58a5,a585,a035,8215,,a035,a585,,a035,8215
I2
3 4 7,171,a71,1a7
O2
3 20 7,171,a71,1a7,a71,1a7,171,7,,171,a71,1a7,,a71,171,7,,171,a71,1a7
I3
4 3 2,a2a7,5724
O3
4 15 2,a2a7,5724,4275,a7a2,2,,a2a7,5724,,a2a7,2,,a2a7,5724
I4T
3 4 9,909,9a7,919
O4T
None
I5T
4 2 7273,1a27
O5T
None | 3 20 9,909,9a7,919,,a79,909,9,,909,9a7,919,,9a7,909,9,,909,9a7,919 | dataset=solve_symmetry group='create_symmetry vstack(orig 180 orig flipy orig)' predict=image image_width=small image_height=medium task_pixels=a |
SimonImageShape shape3x3 histogram all9 number of unique colors | 14 12 3,,,,h380b3,g36a8043,f363a8a43,e3b989343,g38a3843,,f38c343,f38e3 | 14 12 1,,,g12a32a1,f12343432,e1a23b432,d12a3a4a532,d123a43a432,d1a2c3432,e1d2a32,,e1b2a1b2 | dataset=shape group=shape3x3_histogram_all9 image_width=medium image_height=medium |
SIMONSOLVEVERSION1, O2T, predict image | I0
10 13 a4646464a8,4846818484,41e486,a418184a68,b481a4a64,a64616a484,a641464b6,b61a48b4,a641a61486,a161b4648,a4146841a4,8416868a46,8a46864686
O0
10 13 1,,,,,,,,,,,,
I1
13 11 b3a2b3a2b3,b3a212c312,32321a3231b3,32131a31a3a21,b3132f3,a3a1a32313231,a3132b312b3,2b3231a31323,b32f323,a1a3231e3,a32d3a2b3
O1
13 11 1,,,,,,,,,,
I2T
11 7 97a37379b3,3e8b37,b39737c3,c3a9a7a39,b7937b3a7,d37a37a3,9c37397a3
O2T
None
I3T
7 5 6,67d3,6,,
O3T
None | 11 7 8,,,,,, | dataset=solve_color group=least_popular_color_same predict=image image_width=medium image_height=medium task_pixels=b |
SIMONSARCIMAGEDILATION dilation mask with connectivity tb2 | 5 5 1,b1a2,81a71,1a861,b161 | 5 5 b0a1,101a2,21a21,1a210,0a1a0 | dataset=dilation group=apply_dilation image_width=small image_height=small connectivity=tb2 |
SimonsArcImageScale scaley=down5 | 2 20 28,,,,,23,,,,,02,,,,,03,,,, | 2 4 28,23,02,03 | dataset=scale group=scale_input image_width=small image_height=medium scalex=down1 scaley=down5 |
simon-solve-v1 predict image for O5T | I0
8 7 5,a4e5,b4c54,5054c5,d59a5,a5059b5,b50b54
O0
8 7 3,c3a5a3,d35a3,3,,,
I1
7 9 6a39b6,6a9c6,7e6,,,b8c6,b6a8a6,6,
O1
7 9 3,d353,c3a53,a3c53,c3a53,3,,35d3,3
I2
9 6 b5c895,d5a9a5,b5a9c5,5a9e5,9g5,5
O2
9 6 3,35f3,3,e3a53,c3c53,3
I3
5 3 9,,
O3
5 3 3,3b53,3
I4
3 8 808,805,8a9,9a8,8,,,
O4
3 8 3,,,,,353,,3
I5T
10 9 a79f7,a792e7,b79e7,b792a76a7,c7976b7,c7971b7,d71c7,,
O5T
None
I6T
7 5 7,,6e7,b0c7,7
O6T
None | 10 9 3,d3c53,3,35g3,,3a5d353,,3b5b3a53,3 | dataset=solve_outline group=outline_all8 predict=image image_width=small image_height=small task_pixels=b |
SIMON-SOLVE-V1 predict image for O4T | I0
2 6 2,27,,29,,
O0
2 3 2,27,29
I1
3 3 2,,
O1
1 1 2
I2
2 4 96,29,62,
O2
2 3 96,29,62
I3
2 6 2,15,10,,,2
O3
2 4 2,15,10,2
I4T
2 5 98,08,98,89,
O4T
None | 2 4 98,08,98,89 | dataset=solve_compress group=compressxy predict=image image_width=small image_height=small task_pixels=a |
simon-solve-version1 predict image for O4T | I0
6 8 a2a5a2,,a2c5,,a5a2a5,,a2a5a2,
O0
27 48 k2b5k2,,,k2e5h2,,,h2b5b2b5h2,,,k2b5k2,,,k2b5e2b5b2,,,k2e5b2e5,,,h2b5b2e5b2b5,,,k2b5e2b5b2,,,b2b5n2b5b2,,,b2e5k2e5,,,b5b2b5h2b5b2b5,,,b2b5n2b5b2,,,k2b5k2,,,k2e5h2,,,h2b5b2b5h2,,,k2b5k2,,
I1
8 8 5,,2,,a5a2c5,,e2a5,
O1
48 48 5,,,2,,,b5b2h5b2h5b2h5b2e5,,,h2b5h2b5h2b5h2b5,,,2,,,,,,,,,,,,k5k2w5,,,2,,,b5b2e5k2b5b2h5b2e5,,,h2b5t2b5h2b5,,,z2h2k5,,,2,,,z2h2b5b2e5,,,z2q2b5,,
I2
8 8 2,,a2e5,,c2c5,,e5a2,
O2
48 48 2,,,,,,,,,,,,,,,n2h5b2h5b2h5,,,q2e5e2e5e2e5,,,k2h5b2h5b2h5b2,,,2,,,z2h5b2h5,,,z2b2e5e2e5,,,w2h5b2h5b2,,,2,,,b2h5b2h5b2h5k2,,,e2e5e2e5e2e5k2,,,h5b2h5b2h5n2,,
I3
6 8 a5a2a5,,a5c2,,2,,5,
O3
27 48 b5b2b5h2b5b2b5,,,b5n2b5e2,,,2,,,h5h2h5,,,b5b2b5q2,,,b5w2,,,2,,,h5q2,,,2,,,,,,,,,,,,b5b2e5b2e5b2b5,,,b5e2b5e2b5e2,,,2,,,5,,
I4T
8 8 e5a2,,c2c5,,a2a5c2,,a5c2a5,
O4T
None
I5T
8 4 a5a2a5a2,,a2c5a2,
O5T
None | 48 48 h5b2h5b2h5n2,,,e2e5e2e5e2e5k2,,,b2b5h2b5h2b5q2,,,b5e2e5e2e5e2b5k2,,,w2h5b2h5b2,,,z2b2e5e2e5,,,z2b5h2b5e2,,,w2b5e2e5e2b5,,,k2h5z2,,,q2e5w2,,,n2b5z2b2,,,k2b5e2b5w2,,,h5z2h5b2,,,e2e5z2b2e5,,,b2b5z2e2b5e2,,,b5e2b5w2b5e2b5,, | dataset=solve_fractal group=pattern_to_fractal predict=image image_width=other image_height=other task_pixels=e |
simonsolveversion1, O4T, predict image | I0
7 5 0260a23,b2a632,c2632,6020b2,20a2323
O0
5 7 3b23,2a3a2,2a623,06202,6c2,b2a0,0a262
I1
5 5 a1a01,1,0a191,292a0,a2b1
O1
5 5 b101,01901,0a121,b192,a10a2
I2
5 8 8c4,,48b4,48484,a4a84,a48a4,a9a24,a2404
O2
8 5 4,b4a8420,c4a824,a4a8a492,a8c492
I3
8 6 b84a8a4,a8a4b84,a84a8a48,848484a8,484a8b4,c8b78
O3
6 8 a4a848,484847,a8b47,d87,a484a8,8a4848,b84a8,c848
I4T
6 1 c6a7
O4T
None | 1 6 7,,6,,, | dataset=solve_rotate group=rotate_ccw predict=image image_width=small image_height=small task_pixels=a |
Simon-Solve-V1 predict image for O3T | I0
2 4 62,,65,25
O0
2 3 62,65,25
I1
3 2 a05,a50
O1
2 2 05,50
I2
6 3 c171,1b0a5,3c24
O2
4 3 a171,10a5,3a24
I3T
5 6 a3b5,a5635,a5693,5a965,,59a56
O3T
None
I4T
6 2 a976a9,d95
O4T
None | 5 5 a3b5,a5635,a5693,5a965,59a56 | dataset=solve_compress group=compressxy predict=image image_width=small image_height=small task_pixels=a |
simonsolvev1, 'O4T', predict the image | I0
6 6 b3b9,3a94a3,712b3,3a2b3,3212a3,3232a3
O0
6 6 2,,c252,,2,
I1
6 6 c787,c767,b7969,b96a7,a7a6a7,a71b7
O1
6 6 2,2a5b2,2,,,
I2
6 8 4,,457b4,4561a4,457124,451724,451742,4542a4
O2
6 8 2,b2a52,c252,2,,,,
I3
6 5 212a12,1712a1,1a8b1,128a12,a1a212
O3
6 5 2,,c252,2,
I4T
4 7 a656,6,5b6,a626,,5256,82a6
O4T
None
I5T
6 7 9a26a2,2a96a2,6a2a92,262629,2a6a26,2c62,a2a6a2
O5T
None | 4 7 2,25a2,2,,,, | dataset=solve_erosion group=apply_erosion_nearest4 predict=image image_width=small image_height=small task_pixels=a |
SIMON-SOLVE-VERSION1 predict image for O3T | I0
4 6 2424,4141,5151,,4141,2424
O0
2 3 24,41,51
I1
8 4 24b24a2,a2a4a2a4,,24b24a2
O1
4 2 24a2,a2a4
I2T
8 8 4,47404740,40b40a4,7b47b4,,40b40a4,47404740,4
O2T
None
I3T
8 8 46264626,84868486,a216a216,a601a601,,a216a216,84868486,46264626
O3T
None | 4 4 4626,8486,a216,a601 | dataset=solve_symmetry group='extract_tile 2x2(orig flipx orig flipx)' predict=image image_width=small image_height=small task_pixels=a |
Simon-Solve-Version1, O3T, predict image | I0
3 5 4,,,,
O0
1 1 4
I1
5 6 65a86,15b6,465a6,642a6,a64a6,b646
O1
1 1 6
I2
6 14 b04a2,604606,04a606,6b060,50a606,506a06,5b0a6,567b6,507b6,657a60,67c6,07a6a0,07c0,a0c6
O2
1 1 6
I3T
14 2 5k63,5d31a3c15
O3T
None | 1 1 6 | dataset=solve_color group=most_popular_color_1x1 predict=image image_width=medium image_height=medium task_pixels=a |
simonsolvev1 predict image for 'O4T' | I0
7 4 6464646,b6b40,a646061,40a6a10
O0
7 4 46061a6,a6a1040,6464a64,6b40a6
I1
4 8 a676,,,a617,62a5,2561,a601,b61
O1
4 8 01a6,61a6,7b6,,,17a6,a562,6125
I2
8 6 8,,,d8a08,8,
O2
8 6 8,,,,,b8a0b8
I3
6 1 b7139
O3
6 1 7139a7
I4T
1 2 2,
O4T
None | 1 2 2, | dataset=solve_translate group=translate_xminus2yplus2 predict=image image_width=small image_height=small task_pixels=a |
Simon-Solve-Version1, O3T, predict image | I0
12 7 0,,,d038d0,d083d0,d038d0,0
O0
4 9 38a3,8b3,38a3,b38,a383,b38,38a3,8b3,38a3
I1
11 10 0,,d0a83b0,d0a38b0,d0b3b0,d0b8b0,0,,,
O1
9 16 e3a83,g38,3,e3b8,a83a8c3,a38a38b3,3,e8b3,a83a83a83,a38a38a38,3,8,3,,,
I2T
11 6 0,,d0a383a0,d0a838a0,d08383a0,0
O2T
None
I3T
11 9 0,,,,,b03b8c0,b08a38c0,b0a383c0,0
O3T
None | 16 9 3b8k3,8a38k3,a38l3,d3b83b8c3,c38a3a8a38c3,e38b38d3,3b83b8d3b8,8a3a8a38c38a38,a38b38f383 | dataset=solve_fractal group=pattern_to_fractal predict=image image_width=medium image_height=medium task_pixels=b |
SIMONSOLVEVERSION1, O3T, predict image | I0
2 3 7,17,75
O0
2 9 7,71,57,75,17,7,75,17,7
I1
3 4 a46,010,806,050
O1
3 12 6a4,010,608,050,,806,010,a46,050,806,010,a46
I2
4 3 a9a5,9a59,9581
O2
4 9 a5a9,9a59,1859,9581,9a59,a9a5,9581,9a59,a9a5
I3T
3 3 8,,1
O3T
None
I4T
3 4 459,945,9,
O4T
None | 3 9 8,,1,,8,,1,8, | dataset=solve_symmetry group='create_symmetry vstack(flipx flipy flipy)' predict=image image_width=small image_height=medium task_pixels=a |
simonsolveversion1, 'O3T', predict the image | I0
6 6 4,,,,b4b6,4
O0
2 3 4,46,4
I1
3 4 0a6,6,,
O1
2 2 06,6
I2
4 2 3b4,9b3
O2
2 2 34,93
I3T
4 2 4,
O3T
None | 1 1 4 | dataset=solve_compress group=compressxy predict=image image_width=small image_height=small task_pixels=a |
SIMONSOLVEV1 predict image for 'O5T' | I0
4 6 a393,3,,9b3,3,
O0
4 4 a393,3,9b3,3
I1
6 2 1c75,1c98
O1
3 2 175,198
I2
2 3 37,,
O2
2 1 37
I3
3 2 3a2,3a8
O3
2 2 32,38
I4T
2 6 1,,,,,
O4T
None
I5T
2 6 86,80,0,,07,0
O5T
None | 2 5 86,80,0,07,0 | dataset=solve_compress group=compressxy predict=image image_width=small image_height=small task_pixels=a |
simons-image-erosion erosion mask TLBR2 | 10 9 4,b45e4,8a4a5d4,8a456510a9,485a41a604,48541c64,a4516c46,a45f4,4 | 10 9 0,01a0d10,01a01d0,a01f0,0,g010,0,01c0b10,0 | dataset=erosion group=apply_erosion image_width=small image_height=small connectivity=tlbr2 |
simon-solve-v1 predict image for O3T | I0
5 4 297a9,92b9,a9262,c96
O0
20 20 c2c9c7g9,,,,,c9c2k9,,,,,g9c2c6c2,,,,,o9c6,,,,
I1
4 1 8
O1
16 5 8,,,,
I2T
1 2 1,
O2T
None
I3T
2 3 54,,42
O3T
None | 8 15 c5c4,,,,,,,,,,c4c2,,,, | dataset=solve_scale group=x4up_y5up predict=image image_width=medium image_height=medium task_pixels=b |
simons-arc-image-erosion erosion mask with connectivity LR2 | 16 7 6b4a6b34a6a464,4a67g526a4,c67a4b6a50b2,646474c5b6064,64b616g06,4646c4c6b46,46b4646c4a6a4 | 16 7 a01c01g0,d0e1d0,0a1d01d010,f0a1a01c0,b01c0e1a0,d0a1a0a1a01a0,b01d0a1d0 | dataset=erosion group=apply_erosion image_width=medium image_height=small connectivity=lr2 |
SIMONIMAGESCALE, What transformation happens. x3up_y1,x1_y1,x2up_y1,x4up_y1 | 28 14 g1a8c6a1a6i1,,,,,,,c1a6e1a3c6c1a0a6a1,,,,,,
14 2 c18a616d1,a16b13a6a1061 | x3up_y1=0,x1_y1=0,x2up_y1=0,x4up_y1=0 | dataset=scale group=recognize_transformation image_width=large image_height=medium scalex=down2 scaley=down7 |
Simon-ARC-Image-Shape find shape2x2 bit 5 | 12 27 c52f5,,b56g5,,a56h5,,56i5,,7j5,,,57i5,,,5,,,,,,,,,,,, | 13 28 1k0,0b1a0e10,0b10f10,0a1a0f10,0j10,01a0g10,0j10,b0h10,a0i10,,,010h10,b0h10,,a0i10,0j10,,,,,,,,,,,,k01 | dataset=shape group=shape2x2 image_width=medium image_height=large |
simon-image-shape identify places where shape3x3 contains bit 3 | 28 18 a24a62a406462026a242b402a40,2402420a62604646420a6a46a204,242r746c4,2k06e42a426464,24a06404a0a42b426464042b42,2640c40c4b6a02b64202a4,b260246a0o424,a42a0a462b426464a6d42a40,b4a6a246a2c46c464602a46,c42b40a2a460620b4242b46,64242626c4a6246a420b4a246,a4b6e426a4a04060a4242a4,a4620a64b64a6246a46a4a6a4a6,2b6020a60a2b40260642646a42,a2a0426262a46026a242d40a4,262a426a2b4b26a2a624264b2,646b40202a4b646202a4a2a642,6a4046a40260b646a2b4042464 | 28 18 01a01a01h01b0a1b010,g01j0101a01a0,c0q1b0b1,a0j1a0d1a01d0,b01d0101a0a1h0a10,d0b1a0b10a101a0a1d01,0a1e010n1a0,01a0101b0a1e010c1a010,0a10101b010b1a0b1e010,0b1a0a1a0101e0a1c0a10,h0b101c01b0a101a0,010a10d1b0101d01c01,01c01a0a1a01c01a01010101,a0a1c01a010a1j010,0101f01d01b0c1a01,c01b010a10a1a0101e0a1,c0a1d010a1e010101a0,a01c01d0a1b010a1e0 | dataset=shape group=shape3x3_center image_width=large image_height=medium |
SimonImageErosion erosion mask with connectivity TLBR2 | 8 14 a0a82081,a01836a8,0a8076a8,1e64,08678624,081a6340,a87a6048,a8786431,87808418,070a8481,78014b0,8a184b0,a8041b8,8084c8 | 8 14 0,,,,a01d0,b01c0,0,01e0,a01d0,0,,,01e0,0 | dataset=erosion group=apply_erosion image_width=small image_height=medium connectivity=tlbr2 |
SIMON-SOLVE-VERSION1, O4T, predict image | I0
3 18 a12,,,,,,371,,,,,,715,,,,,
O0
15 3 i1d2,d3d7d1,d7d1d5
I1
3 12 595,,,,,,828,,,,,
O1
15 2 d5d9d5,d8d2d8
I2
4 12 b52,,,,,,a520,,,,,
O2
20 2 n5d2,i5d2d0
I3
3 18 495,,,,,,419,,,,,,849,,,,,
O3
15 3 d4d9d5,d4d1d9,d8d4d9
I4T
3 18 3a8,,,,,,959,,,,,,185,,,,,
O4T
None
I5T
2 6 2,,,,,
O5T
None | 15 3 d3i8,d9d5d9,d1d8d5 | dataset=solve_scale group=x5up_y6down predict=image image_width=medium image_height=medium task_pixels=a |
simon-arc-image-symmetry symmetry vstack(flipy flipx) | 26 7 6,,,l6e1f6,6,, | 26 14 6,,,l6e1f6,6,,,,,,f6e1l6,6,, | dataset=symmetry group=symmetry image_width=large image_height=small instruction_sequence='vstack(flipy flipx)' |
Simon-Solve-V1, O2T, predict image | I0
1 9 7,3,,,,9,,,
O0
9 1 c9c37
I1
9 4 57c5b6,b57a6205,05a2a0505,7a0b5057
O1
4 9 70a5,0a57,02a5,5275,5065,,0526,5a06,7a56
I2T
4 3 48a4,b24,4a34
O2T
None | 3 4 424,328,324,4 | dataset=solve_rotate group=rotate_cw predict=image image_width=small image_height=small task_pixels=a |
simon-solve-version1, 'O3T', predict the image | I0
5 4 31b6,c26,a2a62,62a62
O0
4 4 31a6,b26,a262,6262
I1
5 5 9,,,,
O1
1 1 9
I2
2 5 45,5,45,85,
O2
2 4 45,5,45,85
I3T
5 2 a95a1,a5179
O3T
None
I4T
2 5 50,59,50,,70
O4T
None | 4 2 95a1,5179 | dataset=solve_compress group=compressxy predict=image image_width=small image_height=small task_pixels=a |
Simons-Image-Dilation mask when doing dilation LR2 | 9 12 426272a42,a2a875426,a284a8b4,a286725a6,42827b26,a287424a6,a26742a46,642762462,a62764262,42a64a264,a2c6464,4d2b6 | 9 12 1d2b1,0b1c21,01a2b1a0,01d210,1c210a1,01d210,01c2b1,1f21,01e21,12a12a121,0a1a01a21,a1b0a1a0 | dataset=dilation group=apply_dilation image_width=small image_height=medium connectivity=lr2 |
simons-image-dilation dilation mask with connectivity ALL8 | 10 14 19a19d1,1,a17d191,a17a15b19,191715a2a1,a194151429,c1a45191,191a5d1,a15a1a9b1,b19e1,b19a19b1,b9e19,c19d1,9a1919a191 | 10 14 e1c0,1b2a10b1,0h1,1a21d21,12b323243,a1c3a432,124c3432,1b234a3a1,123232a1a0,01e2a0,1,b1b2c1,c2c1a2,1 | dataset=dilation group=apply_dilation image_width=small image_height=medium connectivity=all8 |
Simon-ARC-Image-Erosion erosion mask TLBR2 | 18 16 e63b6a13671a6,b6a1b67a61671616,a7a61a61367b63a67,6161b63c16a7b6,1c61c67d617,1a616a171b6a16167,a63616316831b6307,16176a162187a63607,61a61761018b61067,617b62b1681a6067,a631a21616a1860a71,6a123a1a616b10671,132b6a36a16316a71,721a6137161a60a176,a1c61761610a6716,1b67a61a6160a61a6 | 18 16 0,0a1a01c01f0,b01f01c010,e01d01d0,0101h01c0,a010101j0,b0a1f01d0,01l01a0,a01c01d01c0,j01e0,g0101f0,h0a101d0,g01a0101c0,c01c0a101d0,c0b1a0a1a01c0,0 | dataset=erosion group=apply_erosion image_width=medium image_height=medium connectivity=tlbr2 |
simon-solve-version1 predict image for 'O4T' | I0
7 7 5464525,54d1,52a5025,b5b26,6545a45,54a5a45,b65465
O0
7 7 5,,,,51d5,a51c5,5
I1
8 8 e171,713d1,17819191,3a169a71,a1767b1,31617197,1317c1,a7917317
O1
8 8 5,c51515,5,,,51e5,a51d5,5
I2
6 6 2,b23a2,b38a2,a5a283,2b582,2a3a58
O2
6 6 5,c515,5,,a51b5,5
I3
5 6 170a8,10217,a7271,01241,19a18,192a1
O3
5 6 5,,,,a51a5,5
I4T
6 8 a787a8,78a782,a80782,8a7072,c082,78a272,b78a2,b87a8
O4T
None | 6 8 5,a51b5,b51a5,5,,,, | dataset=solve_erosion group=apply_erosion_tlbr2 predict=image image_width=small image_height=small task_pixels=a |
SIMON-SOLVE-V1, O2T, predict image | I0
1 6 5,,,,,8
O0
1 6 5,8,5,,,
I1
6 3 60c8,606780,b7b1
O1
6 3 606780,b7b1,60c8
I2T
3 8 8,878,,8a7,473,873,8a7,a87
O2T
None
I3T
8 5 07b0707,a04a7470,47a07b0,4c04a0,0a7404a0
O3T
None | 3 8 8a7,a87,8,878,,8a7,473,873 | dataset=solve_translate group=translate_yplus2 predict=image image_width=small image_height=small task_pixels=a |
simon-solve-version1, O5T, predict image | I0
7 7 58a5695,9598965,5658569,6565258,565a269,6a89265,86562a5
O0
7 7 3,30d3,a30c3,30d3,3,,
I1
3 7 3,,053,,623,,
O1
3 7 3,303,3,,,,
I2
7 8 d979,97a96a9,a96c9,a96a929,9292697,a9b897,74a97a8,9
O2
7 8 3,a3a0303,b30b3,30a30a3,3,30d3,a30c3,3
I3
6 4 6a0836,608b6,08c6,8d6
O3
6 4 3,,c303,3
I4T
5 4 8a307,8b39,c39,08303
O4T
None
I5T
4 7 42a4,a264,3264,b64,9264,9246,6464
O5T
None | 4 7 3,,,,a303,3, | dataset=solve_erosion group=apply_erosion_tlbr2 predict=image image_width=small image_height=small task_pixels=a |
SIMONSOLVEV1 'O3T' predict the image | I0
14 5 6b96a96a96b9,6c96a9b6969,a69a6g96,6c9696b96a9,c96e96a9
O0
14 5 9b69a69a69b6,9c69a6b9696,a96a9g69,9c6969b69a6,c69e69a6
I1
13 5 a424b2d42,c42a42a4242,42d42a42a4,b42a4a242b4,2g42a42
O1
13 5 a242b4d24,c24a24a2424,24d24a24a2,b24a2a424b2,4g24a24
I2T
8 4 a7a87a87,a87a87a8,7c87a8,b7b878
O2T
None
I3T
1 13 7,2,,,,,,7,2,,,,
O3T
None | 1 13 2,7,,,,,,2,7,,,, | dataset=solve_color group=swap_colors predict=image image_width=medium image_height=medium task_pixels=a |
simonsolveversion1, 'O4T', predict the image | I0
4 8 1,,,,,,,
O0
4 8 2,2a12,,,,,,2
I1
9 10 6,,,d6b71,b6a7b60,f606,,,e60a6,6
O1
9 10 2,2f12,2b1d2,21f2,,,2d1b2,2c1c2,,2
I2
7 4 9,b94b9,9,94d9
O2
7 4 2,21b212,d212,2
I3
10 6 2,h24,f2a42,d2a4b1,b2c1b2,2
O3
10 6 2,2d1c2,2b1e2,21g2,,2
I4T
9 8 7,,d75b7,c75c7,b75d7,7,,
O4T
None
I5T
7 4 a1a8b1,c1a81,e18,c1010
O5T
None | 9 8 2,2b1b212,2a1c212,21d212,21c2a12,21b2b12,2f12,2 | dataset=solve_outline group=outline_all8 predict=image image_width=small image_height=small task_pixels=b |
SIMONSIMAGEMASS max mass 6, connectivity leftright2 | 2 12 86,85,,,05,,,5,8,,,68 | 2 12 1,,,,,,,,,,, | dataset=mass group=max_mass image_width=small image_height=medium connectivity=PixelConnectivity.LR2 max_mass=6 |
SimonsArcImageErosion erosion mask with connectivity ALL8 | 5 19 b9a0,a92a9,c90,0a9a0,9,,0c9,090a9,9,90b9,a9090,9a059,9a050,a9059,908a0,a9090,a0a90,,a09a0 | 5 19 0,,,,,a0a10,0,,,,,,,,,,,, | dataset=erosion group=apply_erosion image_width=small image_height=medium connectivity=all8 |
SIMONARCHISTOGRAM, color intersection | 2:1321
4:744,1:336,8:326,6:312 | empty | dataset=histogram_two group=intersection histogram_size=d |
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.jsonldataset_solve_rotate.jsonldataset_solve_translate.jsonldataset_cellular_automaton.jsonl- added.dataset_shape.jsonl- added.
Verison 19
Added dataset.
Datasets:
dataset_solve_color.jsonldataset_solve_rotate.jsonldataset_solve_translate.jsonldataset_cellular_automaton.jsonldataset_shape.jsonldataset_image.jsonl- added.
Verison 20
Bigger images.
Verison 21
Added dataset. Disabled some datasets.
Datasets:
dataset_cellular_automaton.jsonldataset_shape.jsonldataset_mass.jsonl- added.
Verison 22
Added dataset.
Datasets:
dataset_solve_color.jsonldataset_solve_rotate.jsonldataset_solve_translate.jsonldataset_cellular_automaton.jsonldataset_shape.jsonldataset_image.jsonldataset_mass.jsonldataset_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- disableddataset_image.jsonl- disableddataset_mass.jsonldataset_shape.jsonldataset_solve_color.jsonl- disableddataset_solve_rotate.jsonl- disableddataset_solve_translate.jsonl- disableddataset_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- disableddataset_histogram.jsonl- disableddataset_image.jsonl- disableddataset_mass.jsonldataset_scale.jsonldataset_shape.jsonl- disableddataset_solve_color.jsonldataset_solve_rotate.jsonldataset_solve_translate.jsonl
Verison 37
Enabled all datasets
Datasets:
dataset_cellular_automaton.jsonldataset_histogram.jsonldataset_image.jsonldataset_mass.jsonldataset_scale.jsonldataset_shape.jsonldataset_solve_color.jsonldataset_solve_rotate.jsonldataset_solve_translate.jsonl
Verison 38
Added dataset
Datasets:
dataset_cellular_automaton.jsonldataset_histogram.jsonldataset_image.jsonldataset_mass.jsonldataset_scale.jsonldataset_shape.jsonldataset_solve_color.jsonldataset_solve_rotate.jsonldataset_solve_translate.jsonldataset_symmetry.jsonl- added
Version 39
Regenerated all datasets with new random seeds.
Version 40
Added dataset
Datasets:
dataset_cellular_automaton.jsonldataset_histogram.jsonldataset_image.jsonldataset_image_pair.jsonl- addeddataset_mass.jsonldataset_scale.jsonldataset_shape.jsonldataset_solve_color.jsonldataset_solve_rotate.jsonldataset_solve_translate.jsonldataset_symmetry.jsonl
Version 41
Regenerated all datasets with new random seeds.
Version 42
Added dataset. Disabled some datasets.
Datasets:
dataset_cellular_automaton.jsonldataset_histogram.jsonl- disableddataset_image.jsonl- disableddataset_image_pair.jsonl- disableddataset_mass.jsonl- disableddataset_scale.jsonldataset_shape.jsonldataset_solve_color.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonl- addeddataset_solve_translate.jsonldataset_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.jsonldataset_histogram.jsonldataset_image.jsonl- disableddataset_image_pair.jsonl- disableddataset_mass.jsonl- disableddataset_scale.jsonl- disableddataset_shape.jsonl- disableddataset_solve_color.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonl- addeddataset_solve_translate.jsonldataset_symmetry.jsonl
Version 48
Enabled all datasets.
Version 49
Bigger max_mass. From 6 to 8.
Version 50
Added dataset.
Datasets:
dataset_cellular_automaton.jsonldataset_histogram.jsonldataset_image.jsonl- disableddataset_image_pair.jsonl- disableddataset_mass.jsonl- disableddataset_scale.jsonl- disableddataset_shape.jsonl- disableddataset_solve_color.jsonldataset_solve_compress.jsonl- addeddataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_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.jsonldataset_erotion.jsonl- addeddataset_histogram.jsonldataset_image.jsonldataset_image_pair.jsonldataset_mass.jsonldataset_scale.jsonldataset_shape.jsonldataset_solve_color.jsonldataset_solve_compress.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_symmetry.jsonl
Version 55
Added dataset. Disabled most datasets.
Datasets:
dataset_cellular_automaton.jsonldataset_dilation.jsonl- addeddataset_erotion.jsonldataset_histogram.jsonl- disableddataset_image.jsonl- disableddataset_image_pair.jsonl- disableddataset_mass.jsonl- disableddataset_scale.jsonl- disableddataset_shape.jsonl- disableddataset_solve_color.jsonl- disableddataset_solve_compress.jsonl- disableddataset_solve_rotate.jsonl- disableddataset_solve_scale.jsonl- disableddataset_solve_symmetry.jsonl- disableddataset_solve_translate.jsonl- disableddataset_symmetry.jsonl- disabled
Version 56
Enabled all datasets.
Datasets:
dataset_cellular_automaton.jsonldataset_dilation.jsonldataset_erotion.jsonldataset_histogram.jsonldataset_image.jsonldataset_image_pair.jsonldataset_mass.jsonldataset_scale.jsonldataset_shape.jsonldataset_solve_color.jsonldataset_solve_compress.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_symmetry.jsonl
Version 57
Regenerated all datasets with new random seeds.
Version 58
Disabled most datasets.
Datasets:
dataset_cellular_automaton.jsonl- disableddataset_dilation.jsonl- disableddataset_erotion.jsonl- disableddataset_histogram.jsonl- disableddataset_image.jsonl- disableddataset_image_pair.jsonl- disableddataset_mass.jsonl- disableddataset_scale.jsonl- disableddataset_shape.jsonl- disableddataset_solve_color.jsonldataset_solve_compress.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_symmetry.jsonl- disabled
Version 59
Added new datasets.
Disabled most datasets.
Datasets:
dataset_cellular_automaton.jsonl- disableddataset_dilation.jsonl- disableddataset_erotion.jsonl- disableddataset_histogram.jsonl- disableddataset_image.jsonl- disableddataset_image_pair.jsonl- disableddataset_mass.jsonl- disableddataset_scale.jsonl- disableddataset_shape.jsonl- disableddataset_solve_color.jsonldataset_solve_compress.jsonldataset_solve_erosion.jsonl- addeddataset_solve_fractal.jsonl- addeddataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_symmetry.jsonl- disabled
Version 60
Incremented random seed
Datasets:
dataset_cellular_automaton.jsonl- disableddataset_dilation.jsonl- disableddataset_erotion.jsonl- disableddataset_histogram.jsonl- disableddataset_image.jsonl- disableddataset_image_pair.jsonl- disableddataset_mass.jsonl- disableddataset_scale.jsonl- disableddataset_shape.jsonl- disableddataset_solve_color.jsonldataset_solve_compress.jsonldataset_solve_erosion.jsonldataset_solve_fractal.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_symmetry.jsonl- disabled
Version 61
Enabled all datasets.
More padding inside the dataset_solve_fractal.jsonl.
Version 62
All datasets still enabled.
Turning up the parameter for dataset_solve_fractal.jsonl.
scale_input from 3 to 4.
scale_output from 3 to 4.
max_image_size from 3 to 4.
max_pad_count from 4 to 5.
Version 63
Disabled several datasets.
Datasets:
dataset_cellular_automaton.jsonl- disableddataset_dilation.jsonl- disableddataset_erotion.jsonl- disableddataset_histogram.jsonl- disableddataset_image.jsonl- disableddataset_image_pair.jsonl- disableddataset_mass.jsonldataset_scale.jsonl- disableddataset_shape.jsonl- disableddataset_solve_color.jsonl- disableddataset_solve_compress.jsonl- disableddataset_solve_erosion.jsonldataset_solve_fractal.jsonldataset_solve_rotate.jsonl- disableddataset_solve_scale.jsonl- disableddataset_solve_symmetry.jsonldataset_solve_translate.jsonl- disableddataset_symmetry.jsonl- disabled
Version 64
Added dataset.
Increased the number of rows in the jsonl file from 200k to 300k.
Datasets:
dataset_cellular_automaton.jsonldataset_dilation.jsonldataset_erotion.jsonldataset_histogram.jsonldataset_image.jsonldataset_image_pair.jsonldataset_mass.jsonldataset_scale.jsonldataset_shape.jsonldataset_solve_color.jsonldataset_solve_compress.jsonldataset_solve_erosion.jsonldataset_solve_fractal.jsonldataset_solve_outline.jsonl- addeddataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_symmetry.jsonl
Version 65
random seed.
Version 66
Disabled some datasets.
Datasets:
dataset_cellular_automaton.jsonldataset_dilation.jsonldataset_erotion.jsonldataset_histogram.jsonl- disableddataset_image.jsonl- disableddataset_image_pair.jsonl- disableddataset_mass.jsonldataset_scale.jsonl- disableddataset_shape.jsonldataset_solve_color.jsonl- disableddataset_solve_compress.jsonl- disableddataset_solve_erosion.jsonl- disableddataset_solve_fractal.jsonl- disableddataset_solve_outline.jsonl- disableddataset_solve_rotate.jsonl- disableddataset_solve_scale.jsonl- disableddataset_solve_symmetry.jsonl- disableddataset_solve_translate.jsonl- disableddataset_symmetry.jsonl- disabled
Version 67
Disabled some datasets.
Datasets:
dataset_cellular_automaton.jsonldataset_dilation.jsonldataset_erotion.jsonldataset_histogram.jsonldataset_image.jsonldataset_image_pair.jsonldataset_mass.jsonldataset_scale.jsonldataset_shape.jsonldataset_solve_color.jsonl- enableddataset_solve_compress.jsonl- enableddataset_solve_erosion.jsonl- enableddataset_solve_fractal.jsonl- enableddataset_solve_outline.jsonl- enableddataset_solve_rotate.jsonl- enableddataset_solve_scale.jsonl- enableddataset_solve_symmetry.jsonl- enableddataset_solve_translate.jsonl- enableddataset_symmetry.jsonl
Version 68
Enabled all datasets.
Version 69
Different random seed.
Version 70
Different random seed.
Version 71
Different random seed.
Version 72
Different random seed.
Version 73
Different random seed.
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