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simon-arc-combine-v79

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Simon-ARC-Image-Dilation mask when doing dilation tb2
15 12 h1a8c1,g14a13b1,f14b13b1,e14d13a1,c1a4e13a1,b14h131,a14i131,14k13,4l13,1,,
15 12 g0c1b0,f012b1b0,e0121a0a1a0,c0a121b0a1a0,b01a21d0a10,a012a1e0a10,0121h0a1,121i0a1,21k01,1l01,0,
dataset=dilation group=apply_dilation image_width=medium image_height=medium connectivity=tb2
simons-image-mass max mass 6, connectivity lr2
6 9 12c1,a1a2a1,1a2b1,a21a21,2c12,101212,c1a2,,120a12
6 9 1,,,,,,,,
dataset=mass group=max_mass image_width=small image_height=small connectivity=PixelConnectivity.LR2 max_mass=6
Flip-B SIMONARCIMAGE
14 1 43c9c23131
1 14 1,3,1,3,2,,,,9,,,,3,4
dataset=image_deserialize group=flipb image_width=medium image_height=small
SimonArcImageScale scale-x down by 3, scale-y down by 5
18 15 k0b8b9,,,,,b0b9e8e9,,,,,b0b3b0b9e0,,,,
6 3 c089,09a8a9,0309a0
dataset=scale group=scale_input image_width=medium image_height=medium scalex=down3 scaley=down5
simonsolveversion1 predict image for O5T
I0 3 10 6,a60,6,0a6,6,,,606,6a0,606 O0 3 10 5,,,,,575,5,,, I1 8 8 1,,,,,,, O1 8 8 5,5e75,,,,,,5 I2 8 7 4a81c8,45081b8,858a01a8,256a8a08,a85c80,a85d8,8 O2 8 7 5,,,,,c5a7a5,5 I3 7 3 5,, O3 7 3 5,5d75,5 I4 10 4 a69b60906,b69a69649,e69a64,d69b60 O4 10 4 5,,57g5,5 I5T 3 7 787,8a7,a87,7,,, O5T None
3 7 5,,,,575,,5
dataset=solve_outline group=outline_all8 predict=image image_width=small image_height=small task_pixels=a
Simons-Image-Mass max mass 6, connectivity topbottom2
19 12 06b06d206d06,063b2b6a0a60a6a06,a036e0a60b6060,0364a06026a06e0,0a30a4a062a6a060a60,6a36a040602g0,63a06b0a40a260a6a0,a3e060a402b0a6,3b0606a06a0a426060,6c0606e042606,o0260,c0a6b06a06c060
19 12 1,,f10j1,,,,,,,1,,
dataset=mass group=max_mass image_width=medium image_height=medium connectivity=PixelConnectivity.TB2 max_mass=6
Simon-Solve-V1, O2T, predict image
I0 6 5 b43a4,b43a2,a4a237,a2b89,d49 O0 6 5 0,a3c0,0,, I1 8 4 b9a2179,a9a1a7a9,91a7c9,97e9 O1 8 4 0,3e03,3d0a3,0 I2T 4 7 67a6,b61,,,,a601,a0a6 O2T None I3T 7 4 a262696,681a6a2,6a15b6,c6a26 O3T None
4 7 0,3030,3,,a303,0,
dataset=solve_erosion group=apply_erosion_tb2 predict=image image_width=small image_height=small task_pixels=a
simon-image-scale scale-x up by 2, scale-y up by 2
6 8 b46a4,a416a4,414647,,146b4,a463a4,a46b4,a43b4
12 16 e4a6c4,,c4a1a6c4,,a4a1a4a6a4a7,,,,a1a4a6e4,,c4a6a3c4,,c4a6e4,,c4a3e4,
dataset=scale group=scale_input image_width=small image_height=small scalex=up2 scaley=up2
simonsolvev1 predict image for 'O4T'
I0 9 6 20f2,a2a0d2,b2a0c2,b20d2,23190c2,232b1b2 O0 6 9 2,,,d21,a20201,2b091,20a212,0b2a3,2 I1 6 1 b5a14 O1 1 6 4,1,,5,, I2 1 2 3,2 O2 2 1 32 I3T 2 1 9 O3T None I4T 1 6 9,,4,,, O4T None
6 1 a9c4
dataset=solve_rotate group=rotate_ccw predict=image image_width=small image_height=small task_pixels=a
Simon-ARC-Image-Mass identify places where max mass is 6, connectivity corner4
13 13 281f21a2,180i2,a280a21e2,1282a06e2,1a28a20c298,b28262029a82,a21286a908b2,a2a982b1c2,a9a268a21c2,d28f2,e28e2,b2c1e2,b1i2
13 13 b1f01a0,b1i0,0b1a01e0,1010b1e0,1a01a01c0a1,b0101010b10,a010e1b0,a0b10b1c0,a1a0a1a01c0,d01f0,e01e0,b0c1e0,b10a1f0
dataset=mass group=max_mass image_width=medium image_height=medium connectivity=PixelConnectivity.CORNER4 max_mass=6
Simon-Image-Dilation dilation mask trbl2
4 6 9619,96a9,,6b9,61a9,69a1
4 6 0a10,1210,a1a0,0a10,1201,1010
dataset=dilation group=apply_dilation image_width=small image_height=small connectivity=trbl2
simons-arc-image-shape find shape2x2 bit 1
28 22 d8a9b8a9a89b8c9e8,8a98b9a89a898a9898a9c8b9,9f89a8989c89e8989,89b898a9a89i8989898,89c8a9e89a8b98c9b8,a898b989a8989d8a98b9a89,89a898b9b8a9898989a8b9898,89c8b9e8a9b89d898,89d8f9a8a9a8c98a98,8c9b8a98a9a89b89a8a9a898,89c8a9a8b9b89b89d898,9a898a9b8989f89a8a9898,8a9a89a89d89c8a9a89b89,d89a8b989a89i898,9c89b89a8a9a8a9a8a9a8a989,d89a89a89c8989c8a9a89,989a89898a9898b989a898b989,98d9c89c8a98b9a8a989,9d8c989a8b9898c989a8,9e8989a89a8989b8a989b8,8a9a8989898a989a89a89b898a9,89e89b89a89b898a989a89
29 23 0c1010a10101a0a10b10d10,a01a0a101a01b01c010b10a10,a0e1a01c0b1a0d1c0,b0a1b0101a0h1f0,b0b1010d1a010a1a0b10a10,01b0a1b01c0c101a0a101a0,b01b0a10a101f010a1c0,b0b10a10d1010a1a0c1b0,b0c10e10101010b1a01a0,a0b10a101a0101a0a1a010101b0,b0b101010a10a1a0a1a0c1b0,a01b010a1c0e1a0101c0,a0101a01a0c1a0b10101a0a1a0,0c1a010a1b01a0h1b0,a0b1a0a1a0101010101010101b0,0c1a01a01a0b1c0b10101a0,c01d01c0a1b01b0a1b0,b0c10b1a0b101a0a10101b0,a0c10b1b010a1c0b1b010,a0d1c01a01c0a101b0a10,a0101f01b01a01a0a1b010,b0d1a0a1a01a0a1b01b01a0,1
dataset=shape group=shape2x2 image_width=large image_height=large
simons-arc-rle-image-pair, Histogram A without colors of Histogram B
19 5 k98b9898,3b9a3d98a98c9,a938e93e989,989h4a3d9,9a398d9g43 10 2 c20a1202,f01a6
9:59,4:17,3:10,8:9
dataset=image_pair group=a_remove_b_colors image_width=medium image_height=small
SIMON-SOLVE-VERSION1, O2T, predict image
I0 6 8 1a2a19,2c52,232529,2a3291,323132,a3c2,a313a2,329b2 O0 6 8 5,a5a0a5,5,,,b5a05,5,c505 I1 8 5 932c84,a9239a43,a3a242a9,9a749b3,969a7a93 O1 8 5 c5a0a5,5,,e505,5 I2T 4 7 a121,,1381,1,,, O2T None I3T 6 5 2c12,962960,b2620,a2b62,b29a2 O3T None
4 7 5,,,5a05,,,
dataset=solve_erosion group=apply_erosion_lr2 predict=image image_width=small image_height=small task_pixels=a
simon-image-erosion erosion mask tb2
15 6 c5a2a5a3c25,26e0d542,767a5b1e52,52e3c1235,f57d314,g54a5a842
15 6 0,,,,1m0,0
dataset=erosion group=apply_erosion image_width=medium image_height=small connectivity=tb2
SIMONARCIMAGESYMMETRY apply symmetry 2x2(180 180 flipy 180)
1 17 9,,4,9,,,,,,,,,,,,,
2 34 9,,,,,,,,,,,,,,4,9,,,,,,,,,,,,,,,,4,9,
dataset=symmetry group=symmetry image_width=small image_height=medium instruction_sequence='2x2(180 180 flipy 180)'
SimonsArcImageShape identify places where shape2x2 contains bit 2
11 16 06h0,a0a6d050,c068d0,d06a8b0,e0a68a0,g06a0,h060,0,,,,,,,,
12 17 1j0,a1b0d101,b1c0b101,d1c0b1,e1c0a1,f1b0a1,h1a01,i101,1,,,,,,,,1j0
dataset=shape group=shape2x2 image_width=medium image_height=medium
SIMONSOLVEV1 predict image for 'O4T'
I0 4 6 63a6,b61,,,6961,a6a9 O0 4 4 63a6,b61,6961,a6a9 I1 6 4 787a57,a79b7,727a97,a78a78 O1 5 4 78757,a79a7,72797,a7878 I2 5 3 b9a8,a56a7,a8698 O2 4 3 a9a8,56a7,8698 I3T 5 2 3b25,40b2 O3T None I4T 4 4 a898,a879,a872,a878 O4T None
3 4 898,879,872,878
dataset=solve_compress group=compressxy predict=image image_width=small image_height=small task_pixels=a
simon-arc-image-pair, number of colors that the two images have in common
16 4 2525b14d1b8,2a5b025a4c6a5,2d6c0a4a525,4a8a5a25a2b02a5 8 10 a7d94,e747,d74a7,c74b7,b74c7,a74d7,74e7,4f7,7,
1
dataset=image_pair group=number_of_intersection_colors image_width=medium image_height=small
SIMONCELLULARAUTOMATA, What transformation happens. highlife_wrap,cave_wrap,serviettes_wrap
18 19 2,i28f2,i2828d2,k28d2,c28i28a2,n28a2,2,i28f2,k28d2,828g28e2,a28n2,2,,,,,,, 18 19 2,,,,,,,,,,,,,,,,,,
highlife_wrap=0,cave_wrap=1,serviettes_wrap=0
dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=medium image_height=medium
Simons-Image-Shape identify places where shape2x2 contains bit 1
1 28 8,,,7,,,,,4,,,9,,,,,,,,,,,8,,,,,
2 29 0,,,,,,,,,,,,,,,,,,,,,,,,,,,,1
dataset=shape group=shape2x2 image_width=small image_height=large
Two images of type SIMONSARCRLEIMAGEPAIR, add histograms
10 3 085b0a8a0,b08a05850,508a05a050 5 5 0a465,a5645,a9a56,56b5,5
5:21,0:19,8:6,6:4,4:3,9:2
dataset=image_pair group=add_histograms image_width=small image_height=small
cw rotate Simon-ARC-RLE-Image
15 16 a939713939397a3,791a93a1b3b93,1b31379a317939,c31a3193b973,31a3719a31a3131,a3a937a13139a39,a71f31b31,9171393793a91a3,a9j819,9371a9139c3a9,9139a1913179319,939e393a1a3,a391919a3191731,a3a93a1a939c3,39b31c313919,a1i31a9
16 15 1b3d97b3179,19b31391731a3a9,a3b9378719b313,a3913918139b3a9,b393198b37a197,3b131989371b31,a3193918a3193713,a39a313873131919,a39b3989b39b3,b319138a3a1b39,31a9373891a391a3,b3a1938939397a9,19371a381a31b97,91b3191c37393,a9313b9319139a3
dataset=image_deserialize group=rotate_cw image_width=medium image_height=medium
SimonsArcImageMass max mass 8, connectivity topleftbottomright2
18 5 d24j24,g2a4a6e2,c2d8a3b0c2,b524a2c0a24c2,b25b0j2
18 5 1,,,,
dataset=mass group=max_mass image_width=medium image_height=small connectivity=PixelConnectivity.TLBR2 max_mass=8
simon-image-scale scalex=up6 scaley=down4
5 8 a3b0,,,,39a03,,,
30 2 k3q0,e3e9k0e3
dataset=scale group=scale_input image_width=small image_height=small scalex=up6 scaley=down4
unique colors in SimonsHistogram
0:1489,5:1390,8:580,9:402 7:1367,3:981,0:323,9:295,1:196,5:87,4:69,2:9
0,1,2,3,4,5,7,8,9
dataset=histogram_two group=unique_colors histogram_size=d
simonsolvev1 'O3T' predict the image
I0 3 6 802,803,805,065,396,389 O0 3 6 2,,,,, I1 13 8 e91b9b1,a91a2123b929,2a49293a96919,a95a4c92b9,625a934c929,2a9539b1b92,2a95b919a262,g919191 O1 13 8 6,,,,,,, I2 12 7 b969193b91,c92032c9,2c93a1a4a9,b91c41b9,2b432c921,a9a512916919,192h9 O2 12 7 0,,,,,, I3T 7 5 a069a06,069b06,606b06,a6b0a6,a6a0b6 O3T None I4T 9 10 4e0a4,b4b0414,c4a0104,4a0a47a40,4c017a4,0a4010704,4043a8a70,04a840474,48c40a7,c4b047 O4T None
7 5 9,,,,
dataset=solve_color group=least_popular_color_same predict=image image_width=medium image_height=small task_pixels=b
Rotate ccw Simons-ARC-Image
1 15 0,,,,,,,,,,,,,,
15 1 0
dataset=image_deserialize group=rotate_ccw image_width=small image_height=medium
SIMON-SOLVE-V1 'O4T' predict the image
I0 8 10 f64,62b64a6,62d63,a62d6,46264b6,a62d6,64323b6,b6264a6,63b63a6,b6a34a6 O0 8 10 7,b73c7,7,,e737,,7,,, I1 7 10 0a2a0a5,0,c0250,0,,b5a025,05b0a8,5a02050,05a0520,2b0505 O1 7 10 7,,7a3c7,,7,,,,, I2 5 7 4,,,a5b4,a4a54,4, O2 5 7 7,7b37,b737,7,,, I3 7 8 a0306a0,b05603,b068a0,a058b0,a082b0,0582b0,08023a0,8d03 O3 7 8 7,,,,d737,7,, I4T 8 4 4,,, O4T None
8 4 7,7e37,,7
dataset=solve_outline group=outline_all8 predict=image image_width=small image_height=small task_pixels=b
Simons-ARC-Image-Dilation dilation mask corner4
10 4 c595a4a5,59a5a491a5,a5a4d52,5c4b5a9
10 4 10a1a21210,0412323a20,2121e2,0c1b021
dataset=dilation group=apply_dilation image_width=small image_height=small connectivity=corner4
SimonArcImageShape identify places where shape3x3opposite contains bit 0
3 9 1,1a9,161,,1a6,,5a6,161,
3 9 0,010,,0,,,010,0,
dataset=shape group=shape3x3_opposite image_width=small image_height=small
simon-arc-image-scale scale-x up by 4, scale-y down by 5
4 20 71a4,,,,,31a8,,,,,4356,,,,,a751,,,,
16 4 c7c1g4,c3c1g8,c4c3c5c6,g7c5c1
dataset=scale group=scale_input image_width=small image_height=medium scalex=up4 scaley=down5
SIMON-SOLVE-V1 predict image for 'O3T'
I0 6 2 21a502,c2a5 O0 5 2 21502,b2a5 I1 6 2 b3b7,6a7153 O1 5 2 a3b7,67153 I2 2 3 32,,92 O2 2 2 32,92 I3T 2 5 36,49,04,,35 O3T None I4T 6 2 0b803,36a494 O4T None
2 4 36,49,04,35
dataset=solve_compress group=compressxy predict=image image_width=small image_height=small task_pixels=a
Rotate CounterClockwise Simon-ARC-RLE-Image
20 3 n09b09,g08c6c0970,b0e6g1b7
3 20 907,0a7,097,a01,901,a01,,061,,,,086,a06,,,,,0,,
dataset=image_deserialize group=rotate_ccw image_width=medium image_height=small
simonsolveversion1, O2T, predict image
I0 7 6 5,a404045,50a5450,a50a505,454a0a4,b54050 O0 1 1 5 I1 6 10 174171,b7361,a13b1,137b1,6a1071,610171,617a10,14a717,a14b1,a17a17 O1 1 1 1 I2T 10 11 9,e93b9,c9a3c9,a9a3e9,92a98d9,92a5982b9,95b9827a9,d9a82a9,c98a9279,g929,9 O2T None I3T 11 8 e969a69,e6a9696,a96a9b6569,6969a6a95a6,92697695a96,92a46765969,94696a75969,6a96a73a696 O3T None
1 1 9
dataset=solve_color group=most_popular_color_1x1 predict=image image_width=medium image_height=medium task_pixels=a
simonsolvev1 predict image for 'O3T'
I0 3 16 9a6,7,,a76,9a6,7,,a76,9a6,7,,a76,,7,,9a6 O0 3 4 a76,7,,9a6 I1 4 8 0a40,0,0a40,0,0a40,0,,0a40 O1 4 2 0,0a40 I2 2 12 02,06,04,02,06,04,02,06,04,,06,02 O2 2 3 04,06,02 I3T 3 12 9a1,2,598,9a1,2,598,9a1,2,598,,2,9a1 O3T None
3 3 598,2,9a1
dataset=solve_symmetry group='extract_rect_tile rect vstack(orig flipy flipy flipy)' predict=image image_width=small image_height=medium task_pixels=a
Simon-Solve-V1 predict image for O4T
I0 18 3 k8e7,e8e7e6,e4e7e3 O0 3 18 a87,,,,,,876,,,,,,473,,,,, I1 18 2 e3e0e3,k3e0 O1 3 12 303,,,,,,a30,,,,, I2 12 2 9,e1e9 O2 2 12 9,,,,,,19,,,,, I3T 12 1 6 O3T None I4T 6 2 4,9 O4T None
1 12 4,,,,,,9,,,,,
dataset=solve_scale group=x6down_y6up predict=image image_width=medium image_height=medium task_pixels=a
SimonsImageDilation mask when doing dilation tlbr2
7 11 a406a04,a604606,9694064,0646040,a6a0406,40b606,906b06,b64b6,6064909,9096946,4606060
7 11 b1a010,0b20a1,a1b2a1,1b2121,a1b2a1,121b21,1d21,a1c21,120b21,a121a21,010c1
dataset=dilation group=apply_dilation image_width=small image_height=medium connectivity=tlbr2
SIMONSIMAGESCALE scale-x down by 6, scale-y up by 5
6 1 1
1 5 1,,,,
dataset=scale group=scale_input image_width=small image_height=small scalex=down6 scaley=up5
SIMONSOLVEV1, O3T, predict image
I0 9 16 c2a62a6,b26a26a2,,c2a62a6,2a6e2,6g2,,2a6e2,,6g2,,2a6e2,c2a62a6,b26a26a2,,c2a62a6 O0 9 12 b2e6,,,b6e2,,,,,,b2e6,, I1 16 16 2,,,,,b62b62b6d2,62b62b62a6c2,6a2a6a2a6a26c2,2,b6d2b62b62,62a6c262b62a6,6a26c26a2a6a26,2,b6h2b62,62a6g262a6,6a26g26a26 O1 12 12 2,,,h6b2,,,b6b2e6,,,b6e2b6,, I2 16 16 6a26g26a26,62a6g262a6,a626g2a626,2,6a26c26a2a6a26,62a6c262b62a6,a626c2a62b626,2,6a2a6a26c26a26,62b62a6c262a6,a62b626c2a626,2,,,, O2 12 12 b6e2b6,,,b6b2e6,,,e6b2b6,,,2,, I3T 4 9 6,6262,2,a6a2,6b2,2,,, O3T None I4T 16 16 a62b626c2a626,a2a6a2a6e2a6,a6a2a6e2a6a2,6b26f26b2,g2a62b626,i2a6a2a6,g2a6a2a6a2,g26b26b2,a62b626g2,a2a6a2a6g2,a6a2a6i2,6b26j2,a626k2,a2a6k2,a6m2,6n2 O4T None
6 9 6,,,b6b2,,,2,,
dataset=solve_fractal group=fractal_to_pattern predict=image image_width=medium image_height=medium task_pixels=c
SimonCellularAutomaton, What transformation happens here. gameoflife_nowrap,highlife_nowrap,highlife_wrap
16 17 57g5a7c5,j57c5,e5a7g5,5,,,,i575a7a5,j5757a5,k5b75,5,,,,,i57d5,7g5a7d5 16 17 i5a7c5,,5,,,,,j5b7a5,j57c5,k5b75,l57a5,5,,,,h5a7d5,
gameoflife_nowrap=1,highlife_nowrap=0,highlife_wrap=0
dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=medium image_height=medium
simonsolvev1, 'O3T', predict the image
I0 3 3 6,6a7,1a7 O0 15 3 1a7b6a71a71a71,6c76a76a76a76,b6a71h6 I1 3 3 3,938,916 O1 15 3 916b3619619619,93a839839839839,b3619h3 I2 3 4 9,194,541,417 O2 15 4 417b9714714714,54149a145145145,194145491491491,b9714h9 I3T 4 2 a2a8,b82 O3T None
20 2 b82a8b2b82b82b8,a2a82d8a2a8a2a8a2
dataset=solve_symmetry group='create_rect_symmetry rect hstack(flipy flipx 180 180 180)' predict=image image_width=medium image_height=small task_pixels=a
simonsolveversion1 'O5T' predict the image
I0 6 3 613b0,418b0,1d0 O0 6 3 2,c202,2 I1 3 6 4,,7a4,4,, O1 3 6 2,,,,202,2 I2 3 5 5,,,, O2 3 5 2,202,,,2 I3 4 3 6,, O3 4 3 2,2a02,2 I4T 7 9 8,8a0c8,a81a0a8,b868a0,b86b8,c86a8,d868,,e86 O4T None I5T 6 8 9b6a3,69c6,d65,d69,69b63,d65,a65a69,9d6 O5T None
6 8 2,,b20a2,,,2,,
dataset=solve_outline group=outline_all8 predict=image image_width=small image_height=small task_pixels=a
Simon-ARC-Image-Scale, Recognize the transformation. x5up_y1,x4up_y1,x2up_y1,x5up_y7up,x3up_y1
5 2 b515,1c5 25 14 n5d1d5,,,,,,,d1s5,,,,,,
x5up_y1=0,x4up_y1=0,x2up_y1=0,x5up_y7up=1,x3up_y1=0
dataset=scale group=recognize_transformation image_width=small image_height=small scalex=up5 scaley=up7
simon-solve-version1, O4T, predict image
I0 3 3 4a1,,414 O0 18 18 a1o4,,,,a1a4a1k4,,a1o4,,,,a1a4a1k4,,a1i4a1c4,,,,a1a4a1e4a1a4a1, I1 3 4 4,1,1a4,141 O1 18 32 1,,4,,a4c1a4c1a4c1,,a4a1c4a1c4a1a4,,4,,,,,,,,e4k1,,4,,g4c1a4c1,,g4a1c4a1a4,,e4e1e4,,4,,g4c1e4,,g4a1g4, I2 2 2 14,41 O2 8 8 e4a1,,c4a1a4,,a4a1c4,,a1e4, I3 4 4 a4a1,1a41,,4141 O3 32 32 c1c4c1s4,,a4c1c4c1q4,,,,a1a4a1a4a1a4a1q4,,g4c1c4c1k4,,i4c1c4c1i4,,,,g4a1a4a1a4a1a4a1i4,,g4c1c4c1k4,,i4c1c4c1i4,,,,g4a1a4a1a4a1a4a1i4,,c1k4c1k4,,a4c1k4c1i4,,,,a1a4a1i4a1a4a1i4, I4T 4 3 1b4,4a14,b14 O4T None
32 18 i4e1a4e1a4e1,,g4a1c4c1c4c1c4a1,,m4a1e4a1e4a1,,a4e1q4e1,,a1c4a1o4a1c4a1,,e4a1u4a1,,y4e1,,w4a1c4a1,,z4b4a1,
dataset=solve_fractal group=pattern_to_fractal predict=image image_width=other image_height=other task_pixels=d
simons-arc-image-erosion erosion mask trbl2
4 15 7859,a569,7a59,5659,7a59,8a59,a769,a6a5,7b5,b56,a5a7,6b5,5675,5658,5
4 15 0,,,,,,,,0a10,,0,,,a010,0
dataset=erosion group=apply_erosion image_width=small image_height=medium connectivity=trbl2
simon-solve-v1, 'O4T', predict the image
I0 18 42 0,0g4c7c40,,,,0g4g70,,,,0o40,,,,,,,,,,,,,,,,0c7c4c7c40,,,,0o70,,,,0o40,,,,0,,,, O0 4 6 a7a4,,7,,4, I1 25 21 0,d0g4c7c4c0,,,,d0k4c7c0,,,,d0c7k4c0,,,,d0c4c7g4c0,,,,0,,, O1 4 4 a7a4,,a4a7, I2 68 45 0,,,,a0c4c7c4c7s4c7c4c7o4a0,,,,a0k4c7z44c7o4a0,,,,a0c4k7s4k7o4a0,,,,a0c4c7c4c7c4c7c4c7c4c7c4c7o4a0,,,,a0k4c7k4c7k4c7o4a0,,,,a0c4k7c4k7c4k7o4a0,,,,a0c4c7c4c7z4t4a0,,,,a0k4c7z4t4a0,,,,a0c4k7z4t4a0,,,,0,,,, O2 8 6 a4a7a4a7,,e4a7,,a4e7, I3 42 68 0,,,a0z4h4c0,,,,,,,,,,,,,,,,a0w4k7c0,,,,a0w4g7c4c0,,,,a0w4c7g4c0,,,,a0z4h4c0,,,,a0k4w7c0,,,,a0k4g7c4g7c4c0,,,,a0k4c7g4c7g4c0,,,,a0z4h4c0,,,,a0z7h7c0,,,,a0g7c4g7c4g7c4c0,,,,a0c7g4c7g4c7g4c0,,,,a0z4h4c0,,,,0 O3 6 8 7,,c7a4,,a7c4,,4, I4T 22 19 0,d0c4c7g40,,,,d0c7k40,,,,d0k4c70,,,,d0g4c7c40,,,,0, O4T None I5T 19 44 0,,,a0o40,,,,a0c7c4c7c40,,,,a0o70,,,,a0o40,,,,a0g4c7c40,,,,a0g4g70,,,,a0o40,,,,,,,,,,,,0,,,, O5T None
4 4 a4a7,,a7a4,
dataset=solve_fractal group=fractal_to_pattern predict=image image_width=other image_height=other task_pixels=other
simons-image-symmetry make symmetric vstack(flipx 180 orig flipx flipy)
10 11 6,,1h6,61g6,,a61f6,,b61e6,c61d6,,a6c2c6
10 55 6,,h61,g616,,f61a6,,e61b6,d61c6,,c6c2a6,,d61c6,,e61b6,f61a6,,g616,,h61,6,,,,1h6,61g6,,a61f6,,b61e6,c61d6,,a6c2c6,6,,h61,g616,,f61a6,,e61b6,d61c6,,c6c2a6,a6c2c6,c61d6,,b61e6,a61f6,,61g6,,1h6,6,
dataset=symmetry group=symmetry image_width=small image_height=medium instruction_sequence='vstack(flipx 180 orig flipx flipy)'
Simon-ARC-Image-Erosion erosion mask with connectivity nearest4
16 14 b516b16b16161,616a21a615161a61,2a5h0a1a5,151a215615152a51,d1a26516165a1,2a156102615a1a61,b15a1202b16a15,621615250a2561a9,c16a125102a9a1,a612561521a92156,6a51b51c23a25,b15e161c2,b151612152b163,16151a516a15a151
16 14 0,,,,a01l0,0,,,a01l0,0,,,,
dataset=erosion group=apply_erosion image_width=medium image_height=medium connectivity=nearest4
simon-solve-v1 predict image for O4T
I0 7 3 616a3a6,6a83816,16314a6 O0 7 3 6,, I1 3 9 4a1,401,241,268,217,,2a6,721,a17 O1 3 9 1,,,,,,,, I2 9 7 1b5b121,a126a5a19,a21212b1,b1968129,b1269121,d161a2,d16b1 O2 9 7 1,,,,,, I3T 7 9 c2a03,2024203,a242a03,0b2030,23a20a2,02323a2,d232,a2020a2,3a20b2 O3T None I4T 9 6 1b5c41,4174a5b7,a1474a7a4,78a147474,7d4a14,747a48784 O4T None
9 6 4,,,,,
dataset=solve_color group=most_popular_color_same predict=image image_width=small image_height=small task_pixels=a
Simons-Image-Mass max mass 4, connectivity nearest4
17 17 e234c2a4a24,8c2a8324824c2,24b2423d28482,c248a434a8a24a2,24a28b232a4c24,4a2a424a232828a42,b284a28283a4a8a2,28a28d237424a2,4a8a24284273b4a2,b28a4242723a4242,42424a287b234248,a28c274a2843b4,a242427e23428,8242874b24242342,a2427a2b8a2823a4,2a472484d28434,8b28b28e282
17 17 e0a1c0a1a01,1c0b10a101c0,01b0b1d0b10,c0g1a01a0,01a01b0c1c01,1a0a101a0b10b10,b0a1a010a1a0a1a0,01a01d0a101b0,b1a010a10a1d0,b0b10b101a01a0,10101a0a1b010101,a01c0a1a0b1b0,c0101e010a1,1b0b1b010d1,c0e1a0d1,b0d1d0c1,h1e0a1
dataset=mass group=max_mass image_width=medium image_height=medium connectivity=PixelConnectivity.NEAREST4 max_mass=4
Simon-Solve-Version1 predict image for O5T
I0 2 16 4,,48,31,,34,31,94,91,94,,93,94,,,43 O0 6 16 4,,b4b8,b3b1,,b3b4,b3b1,b9b4,b9b1,b9b4,,b9b3,b9b4,,,b4b3 I1 4 6 24a3,21a4,2493,5293,32a3,3030 O1 12 6 b2b4e3,b2b1e4,b2b4b9b3,b5b2b9b3,b3b2e3,b3b0b3b0 I2 2 15 3,,2,42,43,54,,52,2,,3,32,,,23 O2 6 15 3,,2,b4b2,b4b3,b5b4,,b5b2,2,,3,b3b2,,,b2b3 I3 4 20 04a0,0860,6a46,4080,a040,8a46,4806,2b0,2a64,62a0,6204,4820,4824,b02,6404,4804,0a80,a4a0,a0a4,8406 O3 12 20 b0b4e0,b0b8b6b0,b6e4b6,b4b0b8b0,e0b4b0,b8e4b6,b4b8b0b6,b2h0,b2e6b4,b6b2e0,b6b2b0b4,b4b8b2b0,b4b8b2b4,h0b2,b6b4b0b4,b4b8b0b4,b0e8b0,e4e0,e0e4,b8b4b0b6 I4T 5 8 36b3,16b3,a36a3,316a3,a36a3,b363,,1a313 O4T None I5T 2 16 0,70,72,,21,71,,10,,,,,0,,, O5T None
6 16 0,b7b0,b7b2,,b2b1,b7b1,,b1b0,,,,,0,,,
dataset=solve_scale group=x3up_y1 predict=image image_width=medium image_height=medium task_pixels=b
SIMONARCIMAGEMASS max mass 2, connectivity tb2
19 10 659a5a9e3a6a596,7a6a52952c76595a6,b7a659a7a6965b9a6,756a759a6b95a65265,7b5a975956a5a9a565,7a5a6b97a52956a256,7b695965a725956b5,7565b95652a756c5,a659a5a69c5a7b95,25a9k6b5
19 10 e10j10,0d10i1a0,,a0c10i101,a0n101,a0c10i101,0d10i1a0,,q10,
dataset=mass group=max_mass image_width=medium image_height=small connectivity=PixelConnectivity.TB2 max_mass=2
SIMON-SOLVE-VERSION1 'O3T' predict the image
I0 10 12 36d36a3,a363636b3,3636e3,a36b36b3,36b363636,636a3b636,a3a6363a63,d3a6b3,c36d3,6f363,6e3a63,b36b3b6 O0 10 12 63d63a6,a636363b6,6363e6,a63b63b6,63b636363,363a6b363,a6a3636a36,d6a3b6,c63d6,3f636,3e6a36,b63b6b3 I1 13 9 b94a949a4a94,b94c9494a9,494b9b494a9,4a9e4a949,9494d9a494,949494e94,d94b94a94,4a9a4c9c4,a9a494d9a4 O1 13 9 b49a494a9a49,b49c4949a4,949b4b949a4,9a4e9a494,4949d4a949,494949e49,d49b49a49,9a4a9c4c9,a4a949d4a9 I2T 9 7 a7c07a0,c0707a0,707e0,0b7d0,07a07b07,7b07a070,07c07a0 O2T None I3T 14 3 b78i7,f7a878b7,8b7a8f78 O3T None
14 3 b87i8,f8a787b8,7b8a7f87
dataset=solve_color group=swap_colors predict=image image_width=medium image_height=medium task_pixels=b
simonsolvev1 predict image for 'O4T'
I0 35 54 3,b3b2e1q2d3,,,b3z2d3,,,b3b2e1q2d3,,,b3b1b2b1q2d3,,,b3b2e1b2e1b2e1d3,,,b3z2d3,,,b3b2e1b2e1b2e1d3,,,b3b1b2e1b2e1b2b1d3,,,b3b2e1q2d3,,,b3z2d3,,,b3b2e1q2d3,,,b3b1b2b1q2d3,,,b3k2e1h2d3,,,b3z2d3,,,b3k2e1h2d3,,,b3h2b1b2b1h2d3,,,3,,,, O0 3 4 1a2,1,1a2,212 I1 54 33 3,,,,,3b2b1t2b1h2b1e2d3,,,3e2b1t2b1h2b1b2d3,,,3k1k2w1d3,,,3b2b1h2b1t2b1e2d3,,,3e2b1h2b1t2b1b2d3,,,3w1k2k1d3,,,3z2t2d3,,,,,,,,,3 O1 4 3 12a1,a121,2 I2 51 52 3,,3z2h2h1b2a3,,,3z2q2b1a3,,,3z2k2h1a3,,,3z2k2b1e2a3,,,3h1b2h1b2h1n2a3,,,3h2b1h2b1h2b1k2a3,,,3b2h1b2h1b2h1k2a3,,,3b2b1h2b1h2b1q2a3,,,3h1z2k2a3,,,3h2b1z2h2a3,,,3b2h1z2h2a3,,,3b2b1z2n2a3,,,3h1n2h1b2h1b2a3,,,3h2b1t2b1h2b1a3,,,3b2h1n2h1b2h1a3,,,3b2b1t2b1h2b1e2a3,,,3, O2 4 4 b21,b12,1b2,12a1 I3 52 32 3,,a3w2e1e2e1e2a3,,,a3z2b2b1h2b1b2a3,,,a3w2e1b2h1b2b1a3,,,a3e1e2e1q2e1e2a3,,,a3e2b1h2b1t2b1b2a3,,,a3e1b2h1b2b1k2e1b2b1a3,,,a3w2e1q2a3,,,a3z2b2b1n2a3,,,a3w2e1b2b1k2a3,,,3,, O3 4 3 a2a1,a121,a212 I4T 16 18 3,3b2b1e2b3,,,3b1h2b3,,,3h2b1b3,,,3e2b1b2b3,,,3,,,, O4T None
2 2 12,21
dataset=solve_fractal group=fractal_to_pattern predict=image image_width=other image_height=other task_pixels=other
SimonImageMass identify places where max mass is 3, connectivity 4
2 5 14,13,23,38,37
2 5 1,,,,
dataset=mass group=max_mass image_width=small image_height=small connectivity=PixelConnectivity.NEAREST4 max_mass=3
Simons-Image-Mass max mass 5, connectivity corner4
19 5 a1a71b7a1a7a1b6a7,717b2b3d674b1,17417a6a2c374c7,174a6a7b17a1b3b7,1c7f141c71
19 5 1,m10c1,l1010101,f101010c1010,e101010c10101
dataset=mass group=max_mass image_width=medium image_height=small connectivity=PixelConnectivity.CORNER4 max_mass=5
process SIMONSARCIMAGE and return the transposed
1 7 3,8,,9,,2,7
7 1 3a8a927
dataset=image_deserialize group=flipa image_width=small image_height=small
SimonImageErosion erosion mask with connectivity ALL8
18 18 70b73a703d70a7,0c787b0e737,d70878d73b7,i7b3b780,b70j7837,7a078a373a70e7,d7078730c78a7,a707a0g78b7,0c7370h70,37a0737873b7873a7,7070a70e78b73,a73878a3d7a2b7,b730783a707d07,9b7a03b723b7387,7a973b7a2373b7a0,373a97a2073787a073,8a7a02b73c730a7,m70373
18 18 0,b01f0a1d0,a0a1m0,01o0,0,l01c0,0,k01d0,j01e0,,,0,,,,,,
dataset=erosion group=apply_erosion image_width=medium image_height=medium connectivity=all8
simon-histogram, number of unique colors
6:842,7:683,3:438,8:204 4:1469,7:1446,6:1306,8:1265,1:1141,9:1042,3:1011,5:492,2:273
9
dataset=histogram_two group=number_of_unique_colors histogram_size=e
simon-arc-image-dilation dilation mask tlbr2
13 13 8586a83b86a8,c868683c8,a8586f83,65b8565a8a58,d85d858,5e86c85,8a53h8,d8a385a838,6363a58585b8,5a8b583a86a8,86a8683585b8,b836d8685,563a536583858
13 13 01b0b1a01a0,0c10212a020,1020a2a102101,120a1b2a0120,0a1a0a2a1b01,0a1b012d0,01a2a10a101a0,a1d201a020,1b21b201a01,b1a21b202a0,02a121a212020,a1c2a120201,0f101010
dataset=dilation group=apply_dilation image_width=medium image_height=medium connectivity=tlbr2
simon-solve-version1 'O4T' predict the image
I0 7 8 b47484,b47b4,,a487b4,,d484,a48c4,4 O0 7 8 5,51d5,d515,,5,,, I1 8 7 e9a8,c938a9,a9a3c9,93e9,3e92,d9a29,9 O1 8 7 5,,,d51a5,b51c5,a5a1c5,5 I2 7 8 d747,b75747,a757245,c7471,57924a9,9792b7,572c7,a72c7 O2 7 8 5,,,,,,d515,5 I3T 8 6 c89b8,c86a98,d8b9,c86b8,,8 O3T None I4T 8 5 e171,7a17c1,1,,17e1 O4T None
8 5 5,,d5a15,b5c15,5
dataset=solve_erosion group=apply_erosion_all8 predict=image image_width=small image_height=small task_pixels=a
simon-solve-v1 'O3T' predict the image
I0 1 8 9,4,,8,,,,1 O0 1 8 9,4,,8,,,,1 I1 8 4 a0254b0,045a0404,0,46040202 O1 8 4 b0452a0,404a0540,0,20204064 I2T 4 4 8292,a289,b29,9a28 O2T None I3T 4 6 b18,1,b18,b81,8b1,1 O3T None
4 6 8b1,1,8b1,1b8,b18,1
dataset=solve_rotate group=flipx predict=image image_width=small image_height=small task_pixels=a
Simons-Image-Symmetry make symmetric hstack(orig flipx flipx 180 180)
23 26 a58b258658565856258a58,56585256265f256585,5258286a5b68a5652a6b5,a82628a56a5686a8a626526,526252626a56b8a65c86,2a6526b5a2a6586a2b562,56a5b2652a6a5285825856,5a652a6a5a65285a62628a5,565a8a5256c8a58565626,82525852c56a2585a25a6,82a52a6a56582685a2426a5,a62b52568262c6452a56,5a28a6a2628c654a25856,58a2658a52868a64862a568,6b526b5825654b525826,c286a5a828a4a25865b8,252586568a64262656a2a56,252a5a86864656852a6a565,25286a25848a52a58256528,5858582842526258658a6a5,25a2a52862528a285626b5,2525626b5a2a586826a252,b686a56a2b56a58c252,656a285a265g2a725,a62625e28h35,52j3628a5c86
115 26 a58b258658565856258a5a8a585265856585685b28a58a585265856585685b28a56c8a5826j3256c8a5826j325,56585256265f25658a58565f25626525856a58565f25626525856a5h38e25262a65h38e25262a6,5258286a5b68a5652a6e5a6256a58b6a5682852c5a6256a58b6a5682852a52a7g256a258a265652a7g256a258a2656,a82628a56a5686a8a62652a62562a6a8686a56a58262a862562a6a8686a56a58262a825c28a56b5a26a568b625c28a56b5a26a568b6,526252626a56b8a65c8a6c85a6b86a56262526256c85a6b86a562625262525a262868a5a2b5626525a25a262868a5a2b56265252,2a6526b5a2a6586a2b56a26b5a2685a6a2b5625a6a26b5a2685a6a2b5625a62b562658a28252682a5a252b562658a28252682a5a252,56a5b2652a6a528582585a658528582a5a6256b2a565658528582a5a6256b2a56b5a6856852625248285858b5a68568526252482858585,5a652a6a5a65285a62628c58262a65825a6a5a625a6b58262a65825a6a5a625a658256528a52a58485a2682528256528a52a58485a268252,565a8a5256c8a5856562a6265658a5c8652a5a85656265658a5c8652a5a856a56a5a62586564686a8a525256a5a62586564686a8a5252,82525852c56a2585a25c65a2585a26c525852528a65a2585a26c5258525286a5a26562624a68656852526a5a26562624a6865685252,82a52a6a56582685a2426c5624a25862856a5a62a528a5624a25862856a5a62a52c85685a2a482a8a568c2b85685a2a482a8a568c2,a62b52568262c6452a5a6a5254c62628652b52b6a5254c62628652b52b62852b5456528b562b5a62852b5456528b562b56,5a28a6a2628c654a2585a6585a245c6826a2a68a256585a245c6826a2a68a2586a52684a68682a5856a28586a52684a68682a5856a285,58a2658a52868a64862a56a86a52684a68682a5856a28586a52684a68682a5856a2856585a245c6826a2a68a256585a245c6826a2a68a25,6b526b5825654b52582a62852b5456528b562b5a62852b5456528b562b5a6a5254c62628652b52b6a5254c62628652b52a6,c286a5a828a4a25865e85685a2a482a8a568c2b85685a2a482a8a568c2a5624a25862856a5a62a528a5624a25862856a5a62a528,252586568a64262656a2a5a6a5a26562624a68656852526a5a26562624a6865685252a65a2585a26c525852528a65a2585a26c525852528,252a5a86864656852a6a56a56a5a62586564686a8a525256a5a62586564686a8a52526265658a5c8652a5a85656265658a5c8652a5a8565,25286a25848a52a5825652a8256528a52a58485a2682528256528a52a58485a268252a58262a65825a6a5a625a6b58262a65825a6a5a625a65,5858582842526258658a6c5a6856852625248285858b5a68568526252482858585658528582a5a6256b2a565658528582a5a6256b2a565,25a2a52862528a285626e562658a28252682a5a252b562658a28252682a5a25a26b5a2685a6a2b5625a6a26b5a2685a6a2b5625a62,2525626b5a2a586826a25a25a262868a5a2b5626525a25a262868a5a2b562652526c85a6b86a56262526256c85a6b86a5626252625,b686a56a2b56a58c25a25c28a56b5a26a568b625c28a56b5a26a568c62562a6a8686a56a58262a862562a6a8686a56a58262a8,656a285a265g2a72a52a7g256a258a265652a7g256a258a2656b5a6256a58b6a5682852c5a6256a58b6a56828525,a62625e28h3a5h38e25262a65h38e25262a658565f25626525856a58565f256265258565,52j3628a5c8a6c8a5826j3256c8a5826j3258a585265856585685b28a58a585265856585685b28a5
dataset=symmetry group=symmetry image_width=large image_height=large instruction_sequence='hstack(orig flipx flipx 180 180)'
SIMON-SOLVE-V1, 'O2T', predict the image
I0 14 8 4,,,e4d3b4,4b8a3g4,4,, O0 14 8 8,,,,,,, I1 8 11 a70c70,f75,e757,a0a70527,7a6152a7,0a7572a7,a05052a7,75a082a7,5a712070,c717a0,7 O1 8 11 8,,,,,,,,,, I2T 11 9 a7a373a7a37,7b3b7b37,a3a73a73737,a3b737c3,a3717a37a37,b313d73,37371a73b7,7c3e7,3737a373a73 O2T None I3T 9 3 e01a0,03a072010,03a02b01 O3T None
11 9 1,,,,,,,,
dataset=solve_color group=least_popular_color_same predict=image image_width=medium image_height=medium task_pixels=b
SimonsArcImageSymmetry make symmetric vstack(orig orig)
22 3 b9f64a312b3a232,a382a4i202a313,38a41b32a3g1b3
22 6 b9f64a312b3a232,a382a4i202a313,38a41b32a3g1b3,b9f64a312b3a232,a382a4i202a313,38a41b32a3g1b3
dataset=symmetry group=symmetry image_width=large image_height=small instruction_sequence='vstack(orig orig)'
Simons-Image-Shape detect shape3x3opposite bit 1
21 19 19179a713b1474141b4,71c791317494b14794,91714a7939741a71214a1,7b494a7374941b42417,a4717971349414a1412a1,4a191914397417174a124,174a14a13a7a4a714a141,91a79a7931a71a7a41494,a7a147a1397a1749b147,4f1314797949b49,471a41913b17a1914b1,b19b1737917c19791,9a17d2471c714a71,b52a197b4a7a4797147,9a4c519a71a74194794,9c171c54741971479,17a1b71a715a71a71414,471479a147171a7b1714,4a7c414b194a74b74
21 19 0,d0a101c01010a1a0,1f01k0,a0a1a0101a0a1a01010a1,g01f01c0,b01b0a1a01b0b1a01,01e01010a1a0a1a01,0101a0b101a01b0b10,01e0a1010101a01a0,0a101a0a1a01b0a101a0,0a10b101k0,a01g0a1b0a1a01,c0a101c01g0,1h0c1b0a1a0,c01f0a1f0,f0101a0a1e01,a01b01i01b0,01d01a01c01c01,0
dataset=shape group=shape3x3_opposite image_width=large image_height=medium
SIMONIMAGESYMMETRY apply symmetry vstack(180 180)
24 16 5,,,,,,,,,,,,,,,
24 32 5,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
dataset=symmetry group=symmetry image_width=large image_height=medium instruction_sequence='vstack(180 180)'
SIMONSOLVEVERSION1 predict image for 'O4T'
I0 12 6 b5b1e5,,,b1b5e1,, O0 32 8 i5a1s5,,g5a1a5c1o5,,a5a1m5a1e5a1c5,,a1a5c1g5a1a5e1a5c1, I1 9 12 b1b5b1,,,e5b1,,,1,,,5,, O1 18 32 a1a5a1e5a1a5a1,,c5a1i5a1,,e1e5e1,,5,,k5a1a5a1,,o5a1,,k5e1,,5,,a1a5c1a5c1a5a1,,c5a1c5a1c5a1,,1,,5,,,,,,,,, I2 12 12 b5e1b5,,,b1b5b1b5,,,h1b5,,,e5b1b5,, O2 32 32 i5c1c5c1i5,,g5a1a5a1a5a1a5a1i5,,g5e1a5e1i5,,k5a1e5a1i5,,a5c1k5c1i5,,a1a5a1i5a1a5a1i5,,e1i5e1i5,,c5a1m5a1i5,,a5c1c5c1c5c1i5,,a1a5a1a5a1a5a1a5a1a5a1i5,,e1a5e1a5e1i5,,c5a1e5a1e5a1i5,,q5c1i5,,o5a1a5a1i5,,o5e1i5,,s5a1i5, I3 9 12 e5b1,,,b1b5b1,,,e5b1,,,e1b5,, O3 18 32 o5a1,,k5a1a5a1,,o5a1,,k5c1a5,,c5a1i5a1,,a1a5a1e5a1a5a1,,c5a1i5a1,,c1g5c1a5,,o5a1,,k5a1a5a1,,o5a1,,k5c1a5,,c5a1c5a1e5,,a1a5c1a5a1e5,,c5a1c5a1e5,,c1a5c1g5, I4T 9 6 b1e5,,,b5e1,, O4T None
18 8 a1o5,,a5c1k5,,e5a1c5a1c5,,g5c1a5c1,
dataset=solve_fractal group=pattern_to_fractal predict=image image_width=other image_height=other task_pixels=d
simonsolveversion1 predict image for 'O4T'
I0 7 6 a24c2,a274b2,b24b2,b274a2,c2742,c27a2 O0 7 6 4,d434,4,43d4,,4 I1 6 8 9a71a7,b7176,971a79,a71a76,31b76,0a3b7,0a93a7,7a9797 O1 6 8 4,,,,,,c434,4 I2 5 4 43b4,a4a35,c43,4 O2 5 4 4,43b4,4, I3T 7 8 c5165,a51a6a5,5a6a415,48451a5,5851b5,,581c5,58d5 O3T None I4T 4 8 51a5,3615,5615,6a50,6505,,60a5,0b5 O4T None
4 8 4,,,,,,a434,4
dataset=solve_erosion group=apply_erosion_corner4 predict=image image_width=small image_height=small task_pixels=a
SIMON-SOLVE-VERSION1 predict image for 'O3T'
I0 2 2 0,5 O0 1 2 0,5 I1 2 4 1,16,1, O1 2 3 1,16,1 I2 2 4 46,43,83, O2 2 3 46,43,83 I3T 4 5 2,26a2,2,, O3T None
3 3 2,262,2
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 9 b8b7,,,7,,,8,, O0 12 27 b7h8,,,8,,,e7e8,,,8,,,,,,,,,b7b8b7b8,,,8,,,7,, I1 9 9 b7e8,,,b7b8b7,,,b8e7,, O1 27 27 k8e7b8e7,,,k8b7e8b7b8,,,h8b7e8b7e8,,,k8e7h8,,,k8b7k8,,,h8b7n8,,,b8e7q8,,,b8b7t8,,,b7w8,, I2 6 9 b7b8,,,7,,,8,, O2 12 27 h8b7,,,8,,,e8e7,,,8,,,,,,,,,b8b7b8b7,,,8,,,7,, I3T 9 12 b7e8,,,b7b8b7,,,,,,b8b7b8,, O3T None I4T 9 12 b8e7,,,8,,,b8e7,,,b7b8b7,, O4T None
27 48 b7w8,,,h7q8,,,b7w8,,,b8b7t8,,,b7e8b7e8b7e8,,,7,,,b7e8b7e8b7e8,,,b8b7e8b7e8b7b8,,,b7w8,,,h7q8,,,b7w8,,,b8b7t8,,,h8b7n8,,,h8h7h8,,,h8b7n8,,,k8b7k8,,
dataset=solve_fractal group=pattern_to_fractal predict=image image_width=large image_height=large task_pixels=c
SimonsArcRleImage transposed
18 15 1,h173f1,e1b713f1,b1b7c13f1,1a7e13g1,17f13g1,h13g1,,,,g13h1,,a1f9h1,1,
15 18 1,c1a7h1,c17f19a1,b17g19a1,,,a17h19a1,,a17f1a39a1,17a1e3d1,1b3j1,1,,,,,,
dataset=image_deserialize group=flipa image_width=medium image_height=medium
Simons-Cellular-Automaton, Recognize the transformation between input and output. serviettes_wrap,highlife_wrap,gameoflife_nowrap,gameoflife_wrap,highlife_nowrap
20 17 j9b7d97,9b7h97e9,9,b979a7l9,979b7h9a7979,797a9a7j979,97c97l9,7f979797f9,797f97h9,q979,9,b97l97a9,d97k979,a97m97a9,a97g97g9,7o97a9,b7g97e9a7 20 17 k97f9,9,,,c9a7m9,d97m9,9,,,,,,,,,,7q97
serviettes_wrap=0,highlife_wrap=0,gameoflife_nowrap=0,gameoflife_wrap=0,highlife_nowrap=0
dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=medium image_height=medium
SIMONSARCIMAGESCALE scale-y down by 5
16 5 4m38,,,,
16 1 4m38
dataset=scale group=scale_input image_width=medium image_height=small scalex=up1 scaley=down5
Simons-Cellular-Automaton, Cave with wrap=none. steps=1. dead=6 alive=8
6 15 c686,b68a6,6,6b8a6,a68b6,c686,b8b6,68c6,6b8a6,8,686868,6a8b6,b6b8,a6a8a6,c686
6 15 6,,,,,,,6a8b6,6b8a6,6c86,6b8a6,a68b6,b68a6,,6
dataset=cellular_automaton group=cave_nowrap ca_step=1 image_width=small image_height=medium
simon-solve-version1 predict image for O6T
I0 8 6 c61b6,d61a8,c6a806,64a809a7,680b764,07e6 O0 8 6 0,0a1d0,0,,, I1 4 10 41a4,1b4,,4,,,,,, O1 4 10 0,,a010,,0a10,,,,,0 I2 10 4 3,d1d0,0, O2 10 4 0,,e0b10,0 I3 3 9 2,242,,5a2,2,,,, O3 3 9 0,,,,,010,,,0 I4 8 9 a16c51,a16d1,16e1,,16d15,16b1a51,6a1a5b1,8a5d1,5f1 O4 8 9 0,,c0b10,b0b1a0,b01c0,0,,e010,0 I5T 4 5 3b2,2,,, O5T None I6T 6 5 0,a0a6a0,b05a0,c050,d05 O6T None
6 5 0,,,01c0,0
dataset=solve_outline group=outline_all8 predict=image image_width=small image_height=small task_pixels=b
Process SIMONARCRLEIMAGE and return the flipb
16 5 c2c125e2,a2412a3a0f2,b24b2a3c0252,c2462c75c2,a25a2a7h2
5 16 2,a25a2,2,a20a2,250a2,270a2,27025,27302,27301,7a231,76231,24a21,a2412,5a242,2,
dataset=image_deserialize group=flipb image_width=medium image_height=small
SIMONARCIMAGEEROSION mask when doing erosion TB2
7 16 9b5958,b58b5,1e5,d515,1b5851,5159b5,a515859,5,5851515,59a59a1,1c515,a1b518,b51a51,181a595,5,b5a1a5
7 16 0,0a1a010,0a10101,0b1b0,a01c0,d010,1c010,1e0,101c0,a01a010,a0a1010,a0101a0,c01a0,,e01,0
dataset=erosion group=apply_erosion image_width=small image_height=medium connectivity=tb2
simonsolveversion1 'O3T' predict the image
I0 5 1 a5090 O0 5 1 90a50 I1 1 3 9,,2 O1 1 3 2,9, I2T 3 6 5,a52,,,5, O2T None I3T 6 8 a93a95,493959,a43859,948a59,9483a9,98a4a9,8d9,9 O3T None
6 8 59a438,5a9485,b9483,b98a4,a98b9,9,95a939,594939
dataset=solve_translate group=translate_xplus2yminus2 predict=image image_width=small image_height=small task_pixels=a
simonsolvev1, 'O5T', predict the image
I0 6 3 5,, O0 1 1 5 I1 2 6 5,59,,39,19,53 O1 2 5 5,59,39,19,53 I2 5 6 9,,b9a8,a9129,921a9,a91a9 O2 5 5 9,b9a8,a9129,921a9,a91a9 I3 2 6 15,,16,76,60,69 O3 2 5 15,16,76,60,69 I4T 6 2 04a202,24b54 O4T None I5T 5 2 38b3,a38a3 O5T None
4 2 38a3,a383
dataset=solve_compress group=compressxy predict=image image_width=small image_height=small task_pixels=a
SimonArcImageErosion mask when doing erosion TB2
18 9 1a31a31c31a3b13,a313a1a3131a31b31,a31b313a1313a6b3,3131a313a13a6a3b1,b3a1a3a1a615a13a1,a1b31b6a1a3531a3,a3a1c9a3b135b3,13a81313e935a3,a8e31b313a953
18 9 0,01d01c01d0,1e0a1h0,1c01a01h0,a01n0,0,o0a1,p01,0
dataset=erosion group=apply_erosion image_width=medium image_height=small connectivity=tb2
Simons-Cellular-Automata, What transformation happens. gameoflife_nowrap,serviettes_nowrap,cave_wrap
21 14 141a4a1414e14b14,b1a4o1,c1a4f14f1,4a1a4f14a14a1414,a4c1a4d14b14141,141a4b14k1,14c141a4j1,d1a4c1414d1a4,4a14a14a14c14e1,4h14b14e1,414g14a1a4d1,14d14b14b14c14,4c141a41a4e1414,1b4a1c4e14a141 21 14 4c1a4b14c1414141,414a1a414k1,414h1414c1a4,1a4a1b4d1a41a4141,a1c4a14b1414141414,414a1a4a14g1414,41c414a1414e1a4,b414a1c41414e1,14a1a414a1c414b1a4,1b4d14141414c14,14g141a4a14b14,a14b141b4141414a141,1c4c14a14a1b4141,c1a4c1a4b141a414
gameoflife_nowrap=0,serviettes_nowrap=0,cave_wrap=0
dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=large image_height=medium
Simon-Solve-V1 'O2T' predict the image
I0 2 8 1,97,17,57,17,52,27,56 O0 2 8 72,65,1,79,71,75,71,25 I1 8 8 a0a2a060,b02a062,c026a0,d07a0,c07080,a0a71987,07a89b0,a82a8b0 O1 8 8 7a89c0,82a8b08,0a2a06a0,a02a0620,b026b0,c07b0,b0708a0,0a719870 I2T 8 5 8a787807,c7a987,87a96819,c15878,8a57c8 O2T None I3T 5 4 a2b5,c57,05a09,27575 O3T None
8 5 b158781,a57d8,a7878078,b7a98a7,7a968198
dataset=solve_translate group=translate_xminus1yplus2 predict=image image_width=small image_height=small task_pixels=a
Simon-ARC-Histogram, perform min
5:1566,9:1551,3:1153 5:392
5:392
dataset=histogram_two group=min histogram_size=d
SIMONSARCIMAGEDILATION mask when doing dilation trbl2
9 13 a52d50,505201572,150a20171,5a082a150,b5a12b5,a510287a5,215a05875,125250505,091050a50,595150905,5905a9b5,5b9d5,5952d5
9 13 a010b101,020b2121,101b2121,01b202a1,f120,01021a2a1,10b21a21,0b21b20,1e210,1b212a10,1a2c1a0,12a12c0,10a1d0
dataset=dilation group=apply_dilation image_width=small image_height=medium connectivity=trbl2
SIMONIMAGEDILATION dilation mask nearest4
6 3 5b060,50a565,1b365
6 3 b1b2,2323a2,a21a21
dataset=dilation group=apply_dilation image_width=small image_height=small connectivity=nearest4
SIMONIMAGESYMMETRY symmetry hstack(orig flipy orig)
12 3 5b6a245c4,52b8a745b2,b254b84542
36 3 5b6a245c4b254b845425b6a245c4,52b8a745b252b8a745b252b8a745b2,b254b845425b6a245c4b254b84542
dataset=symmetry group=symmetry image_width=medium image_height=small instruction_sequence='hstack(orig flipy orig)'
SIMONSOLVEV1 predict image for O3T
I0 14 6 d525a2d5,d52c5a2a5,g52d5,2b5252b52a52,b52g525,f5252c5 O0 14 6 d252a5d2,d25c2a5a2,g25d2,5b2525b25a25,b25g252,f2525c2 I1 11 12 b87a878a78,a878a7d8,7c8a7b87,g8787,7a8a7a8b78,b87a87a878,c87b87a8,8a787e8,d8a7c8,7b8b78a78,8,878787b878 O1 11 12 b78a787a87,a787a8d7,8c7a8b78,g7878,8a7a8a7b87,b78a78a787,c78b78a7,7a878e7,d7a8c7,8b7b87a87,7,787878b787 I2 1 13 3,,,4,,,,3,4,,3,4, O2 1 13 4,,,3,,,,4,3,,4,3, I3T 14 7 3f63c63,c63b63d6,6,d63g6,b36363b6b36,b63a63b63b6,h63a636 O3T None I4T 4 1 0b5 O4T None
14 7 6f36c36,c36b36d3,3,d36g3,b63636b3b63,b36a36b36b3,h36a363
dataset=solve_color group=swap_colors predict=image image_width=medium image_height=medium task_pixels=b
process simons-arc-image and return the transposed
19 10 a7a454e75a7c5,975b7454b75c745,7a975f7475a7a5,757a97a57b547575a7,b757a94b5c75757,5a7c5a94b75745a7,a5d7459f327,a5g37a9b72a7,e757e072b7,745c7575747a5a745
10 19 79b7b5a7,a795a7a574,459c7375,4a79a573a7,57597573a7,4b79573a7,7475957357,7575494375,74a7595307,b7a549305,b7a573707,b75a73904,a5a4a73907,d753705,a7a5a73a75,5b7543727,5a757532a7,5457572a74,b5e75
dataset=image_deserialize group=flipa image_width=medium image_height=small
Simon-Solve-Version1 'O3T' predict the image
I0 15 23 3,,,3g8c2a3,,,,3c8c2c8a3,,,,3c8g2a3,,,,3g2c8a3,,,,3,,, O0 36 64 z2d2c8,,,,z22c8c2,,,,z22g8,,,,w2g8c2,,,,s2c8k2,,,,o2c8o2,,,,o2g8k2,,,,k2g8o2,,,,s2c8g2c8,,,,o2c8g2c8c2,,,,o2g8c2g8,,,,k2g8c2g8c2,,,,g2c8g2c8k2,,,,c2c8g2c8o2,,,,c2g8c2g8k2,,,,g8c2g8o2,,, I1 12 25 3,,,,,3g2b3,,,,3g8b3,,,,3c8c2b3,,,,,,,,3,,, O1 16 64 8,,,,2,,,,c2c8c2c8,,,,,,,,2,,,,,,,,,,,,,,,,g2g8,,,,2,,,,k2c8,,,,,,,,g2g8,,,,2,,,,k2c8,,,,,,, I2 17 16 3,a3k2b3,,,,a3c8c2c8b3,,,,a3k8b3,,,,3,, O2 36 36 8,,,,c2c8g2c8g2c8c2,,,,2,,,,k2k8k2,,,,o2c8o2,,,,2,,,,,,,,,,,,,,, I3T 20 21 3,,,d3c2c8c2b3,,,,d3k8b3,,,,d3c8g2b3,,,,,,,,3, O3T None I4T 14 15 3,a3c8c2c3,,,,,,,,a3c2c8c3,,,,3, O4T None
36 64 c8c2c8k2c8c2c8,,,,2,,,,c2g8o2g8,,,,,,,,2,,,,,,,,,,,,,,,,k2c8c2g8c2c8,,,,2,,,,o2g8c2g8,,,,,,,,k2c8c2g8c2c8,,,,2,,,,o2g8c2g8,,,,,,,
dataset=solve_fractal group=pattern_to_fractal predict=image image_width=other image_height=other task_pixels=e
SIMON-SOLVE-V1, 'O4T', predict the image
I0 4 2 b30,43a1 O0 12 8 h3b0,,,,b4b3e1,,, I1 2 5 38,28,82,83,3 O1 6 20 b3b8,,,,b2b8,,,,b8b2,,,,b8b3,,,,3,,, I2 5 5 b4a9,912a4,92192,92125,29219 O2 15 20 h4e9,,,,b9b1b2e4,,,,b9b2b1b9b2,,,,b9b2b1b2b5,,,,b2b9b2b1b9,,, I3 5 4 1c8,960a8,90868,8 O3 15 16 b1k8,,,,b9b6b0e8,,,,b9b0b8b6b8,,,,8,,, I4T 6 3 c0a8,a9a8a9,68a959 O4T None
18 12 k0e8,,,,e9e8e9,,,,b6b8e9b5b9,,,
dataset=solve_scale group=x3up_y4up predict=image image_width=medium image_height=medium task_pixels=b
simon-solve-v1 predict image for O3T
I0 10 2 2a12a5b26,671b21271 O0 2 10 26,17,1,2,52,,21,2,27,61 I1 2 1 50 O1 1 2 5,0 I2T 1 8 7,,,,,,,8 O2T None I3T 8 1 3a9c36 O3T None
1 8 3,9,,3,,,,6
dataset=solve_rotate group=flipa predict=image image_width=small image_height=small task_pixels=a
simon-cellular-automaton, What transformation happens here. maze_nowrap,cave_nowrap,serviettes_nowrap,gameoflife_nowrap
20 26 4a3a4a3434a3g4,3b43a4343a434b3b4,a3b4a34a3a43a43b43,a4a343d4a3d4a3,f43b43a4c3a4,3c434343a43d434,a434c3h4343,4b34b34343c4a3a4,a43a4a343f4b34,3a4a3a4b343b4a3a43,343b43434343a4a3b4,d43a43b4a3c4a3,3a43c4b3434a3c4,a43a43a43b43c4a34,43d4b343b4a34a3,d43d4a3c4343,3a43a4b343a4b3a434,a34a343d43434a3a4,a4a343f43a4a3a4,b43a43a43c43c43,a4a3d43b43a4c3,34a34c343a43b4a34,3b43a43a4e343a4,b434a3b4b343434a3,a4c34c3a43c4a3,a4a3a4a3b4a3a434a34 20 26 4a34a3a4b3a4a3a43a4,a4343f4d3a43,4b34e3434b3434,4a34a34a34d3a4b3,c43b434a3434b3a4,c4a343f43a4a3,343f43d4a343,43q4,3p4a3,34b3d4a3e4a3,a34c3b434f34,a3e434343b43a43,c43a4a3b4343a43a4,b3h4b3a4a34,3d4e3c43a43,j4b3b43a4,c3a4a3e4a3a434,a3c43d43d4a3,a3b4a3e4a34b34,l4b3b43,a3b43b4a3a4a343b4,343a4c343c43c4,b3d43e43c4,343l43b4,g4a3b4c3b4,k43c4b3
maze_nowrap=0,cave_nowrap=0,serviettes_nowrap=0,gameoflife_nowrap=0
dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=medium image_height=large
simons-image-mass max mass 1, connectivity 4
1 1 7
1 1 1
dataset=mass group=max_mass image_width=small image_height=small connectivity=PixelConnectivity.NEAREST4 max_mass=1
simon-solve-version1 'O4T' predict the image
I0 5 8 5,a59a5,29b5,,a2b5,52b5,a52a5,5 O0 5 8 4,b454,4,b454,,4,45454,4 I1 5 8 b482,b462,a4764,a4864,a7484,48b4,a87a4,4 O1 5 8 4,,,,,,b454,4 I2 5 8 3,a39a3,30b3,,b0a3,3,, O2 5 8 4,45454,4,,b454,4,4b54,4 I3 3 6 9a2,,392,2,, O3 3 6 4,,,,454,4 I4T 5 8 5,2b56,25a36,32565,52565,a52a5,53b5, O4T None
5 8 4,,,,,45454,4,
dataset=solve_erosion group=apply_erosion_corner4 predict=image image_width=small image_height=small task_pixels=a
SIMON-SOLVE-VERSION1, O3T, predict image
I0 6 18 919165,,,,,,1a2695,,,,,,b9218,,,,, O0 18 3 b9b1b9b1b6b5,b1e2b6b9b5,h9b2b1b8 I1 6 12 516b7,,,,,,6a70a1,,,,, O1 18 2 b5b1b6h7,b6e7b0e1 I2 4 6 5,,,,, O2 12 1 5 I3T 2 18 56,,,,,,65,,,,,,26,,,,, O3T None
6 3 b5b6,b6b5,b2b6
dataset=solve_scale group=x3up_y6down predict=image image_width=medium image_height=medium task_pixels=a
Simon-Solve-V1, O4T, predict image
I0 2 6 81,,08,18,,9 O0 2 6 18,9,81,,08,18 I1 6 3 b4a36,a0b93,a6a035 O1 6 3 93a0a9,35a6a0,36b43 I2 3 5 628,a68,7a3,a34,238 O2 3 5 343,382,286,686,a37 I3T 5 5 764a3,47a38,478a3,a37a3,38763 O3T None I4T 5 6 5c8,8a5a8,858a0,a0707,a8a08,8 O4T None
5 6 0b80,8,a85a8,b8a5,a0858,07a07
dataset=solve_translate group=translate_xplus2yplus2 predict=image image_width=small image_height=small task_pixels=a
Simon-Solve-V1 predict image for 'O4T'
I0 2 11 57,53,56,,,05,,,,07,7 O0 1 1 5 I1 11 9 704a3b7a47,747a374a734,7a07434a747,a73743c73,747473a7434,4c73474a7,34370474037,343747a4737,b734347037 O1 1 1 7 I2 9 6 27234a243,42a73a494,342373239,12134a329,214a31239,314214232 O2 1 1 3 I3 6 7 5d9,51c9,95a949,251949,9a21a9,b91a9,c919 O3 1 1 9 I4T 7 8 a8a2a48,45b808,a25a208,a425082,4249082,a490a23,29404a2,9c2a4 O4T None I5T 8 13 8070b83,7010a8a3,830103a8,3a8107a8,85080838,75b80a8,5a3080a8,56b8048,a8b6803,87378308,3e84,f84,a87a87a8 O5T None
1 1 2
dataset=solve_color group=most_popular_color_1x1 predict=image image_width=medium image_height=medium task_pixels=a
SIMONIMAGESHAPE identify places where shape3x3 contains bit 1
3 26 303,3,,a05,a75,137,351,310,3,0a3,a31,3,313,503,3,,,1a3,3,a03,3a1,3,a30,303,013,a30
3 26 0,101,1,0,a01,0,,1a0,,0a1,010,a10,101,a01,,1,,0a1,,a01,0,1a0,a10,1a0,a01,0
dataset=shape group=shape3x3_center image_width=small image_height=large
End of preview. Expand in Data Studio

Version 1

A combination of multiple datasets.

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

Version 2

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

Version 3

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

Version 4

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

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

Version 5

Different random seed.

Version 6

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

Version 7

Using SIMON-SOLVE-V1 everywhere.

Version 8

Same settings. Different seed as usual.

Version 9

Switching from context length 256 to context length 512.

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

dataset_solve_color, image size: 1-13.

dataset_solve_rotate, image size: 1-9.

dataset_solve_translate, image size: 3-9.

Version 10

Same settings. Different seed as usual.

Version 11

Same settings. Different seed as usual.

Version 12

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

Version 13

Same settings. Different seed as usual.

Version 14

Same settings. Different seed as usual.

Version 15

Same settings. Different seed as usual.

Version 16

Added Predict the output image.

Disabled prediction of rows.

Disabled prediction of height.

Verison 17

Same settings. Different seed as usual.

Using the DatasetGenerator and the DatasetItemListBuilder.

Verison 18

Added datasets.

Datasets:

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

Verison 19

Added dataset.

Datasets:

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

Verison 20

Bigger images.

Verison 21

Added dataset. Disabled some datasets.

Datasets:

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

Verison 22

Added dataset.

Datasets:

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

Bigger image sizes.

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

Verison 23

datset_mass.jsonl. increased to max_mass=5.

Verison 24

datset_mass.jsonl. increased to max_mass=6.

Verison 25

different seed.

Verison 26

datset_mass.jsonl. increased to max_mass=25.

different seed.

Verison 27

different seed.

Verison 28

different seed.

Verison 29

different seed.

Verison 30

different seed.

Verison 31

different seed.

Verison 32

different seed.

Verison 33

Disabled some dataset.

Datasets:

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

Verison 34

Enabled all datasets.

Version 35

Regenerated all datasets with new random seeds.

Verison 36

Added dataset dataset_scale.jsonl.

Disabled some dataset.

Datasets:

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

Verison 37

Enabled all datasets

Datasets:

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

Verison 38

Added dataset

Datasets:

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

Version 39

Regenerated all datasets with new random seeds.

Version 40

Added dataset

Datasets:

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

Version 41

Regenerated all datasets with new random seeds.

Version 42

Added dataset. Disabled some datasets.

Datasets:

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

Version 43

Enabled all datasets.

Version 44

Regenerated all datasets with new random seeds.

Version 45

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

Version 46

Regenerated all datasets with new random seeds.

Version 47

Added dataset. Disabled some datasets.

Datasets:

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

Version 48

Enabled all datasets.

Version 49

Bigger max_mass. From 6 to 8.

Version 50

Added dataset.

Datasets:

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

Version 51

Regenerated all datasets with new random seeds.

Version 52

Regenerated all datasets with new random seeds.

Version 53

Regenerated all datasets with new random seeds.

Version 54

Added dataset.

Datasets:

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

Version 55

Added dataset. Disabled most datasets.

Datasets:

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

Version 56

Enabled all datasets.

Datasets:

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

Version 57

Regenerated all datasets with new random seeds.

Version 58

Disabled most datasets.

Datasets:

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

Version 59

Added new datasets.

Disabled most datasets.

Datasets:

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

Version 60

Incremented random seed

Datasets:

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

Version 61

Enabled all datasets.

More padding inside the dataset_solve_fractal.jsonl.

Version 62

All datasets still enabled.

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

Version 63

Disabled several datasets.

Datasets:

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

Version 64

Added dataset.

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

Datasets:

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

Version 65

random seed.

Version 66

Disabled some datasets.

Datasets:

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

Version 67

Disabled some datasets.

Datasets:

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

Version 68

Enabled all datasets.

Version 69

Different random seed.

Version 70

Different random seed.

Version 71

Different random seed.

Version 72

Different random seed.

Version 73

Different random seed.

Version 74

Major update to dataset_solve_symmetry.jsonl.

Version 75

Different random seed.

Version 76

Disabled some datasets.

Datasets:

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

Version 77

Enabled all datasets.

Version 78

Major update to dataset_solve_symmetry.jsonl.

Version 79

Different random seed.
Downloads last month
9
Size of downloaded dataset files:
152 MB
Size of the auto-converted Parquet files:
70.5 MB
Number of rows:
299,991