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simon-arc-combine-v45

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intersection of colors in SIMONARCHISTOGRAM
2:1250,8:1086,6:746 4:1546,0:1539,5:1051,8:166
8
dataset=histogram_two group=intersection histogram_size=d
SIMON-SOLVE-V1 'O2T' predict the image
I0 3 7 2,249,219,291,,927,923 O0 3 7 924,921,129,,792,392,2 I1 7 6 a94a9a4,49c49,4a96494,4a94694,4949464,d496 O1 7 6 949c4,a4a9649,a4a9469,a494946,6d49,4a94a94 I2T 6 1 21b45 O2T None I3T 1 4 0,4,6, O3T None
6 1 521b4
dataset=solve_translate group=translate_xplus1yminus1 predict=image image_width=small image_height=small task_pixels=a
Simon-ARC-RLE-Image-Pair, intersection of colors of the two images
3 8 a98,,,787,489,,479,979 16 1 15f61c6a1
empty
dataset=image_pair group=color_intersection image_width=medium image_height=small
SIMONS-ARC-HISTOGRAM, perform maximum
0:1534,2:1127,7:821,4:371,9:228,1:46,6:24 7:1555,6:1511,0:51
7:1555,0:1534,6:1511,2:1127,4:371,9:228,1:46
dataset=histogram_two group=max histogram_size=d
process SIMONARCIMAGE and return the cw rotated
8 20 0,,a01d0,a0a1c0,,a0101a06,a0101a56,a0105160,b017410,b017610,b017601,b016b0,b0164a0,b01a4a0,b0104a0,b07a040,e040,,f04,
20 8 0,,k0e1a0,c07f1b0a1b0,e04a6b75a1d0,d0b40a6415e0,a0b4d0a165e0,a4f01b0a6d0
dataset=image_deserialize group=rotate_cw image_width=small image_height=medium
Simon-Image-Mass identify places where max mass is 8, connectivity 8
3 2 404,a04
3 2 1,
dataset=mass group=max_mass image_width=small image_height=small connectivity=PixelConnectivity.ALL8 max_mass=8
Simon-Image-Mass identify places where max mass is 10, connectivity topbottom2
1 14 4,2,5,8,,,,,5,,,,,
1 14 1,,,,,,,,,,,,,
dataset=mass group=max_mass image_width=small image_height=medium connectivity=PixelConnectivity.TB2 max_mass=10
SIMONARCRLEIMAGEPAIR, unique colors that the 2 images have in common
7 7 1,,,1a97b1,c1741,1, 14 5 6b76h7,e76f7,c76707a676a7,f7a0a76a7,b7a6a76c076
7
dataset=image_pair group=color_intersection image_width=medium image_height=small
SIMON-SOLVE-VERSION1 predict image for 'O3T'
I0 18 18 b9b5e2b9b5,,b2b9b6b9b5b3,,b9b2b5b2b1b3,,e2b5b1b3b9,,b8b2b9b1b8b2,,b9b8b0b1b8b5,,b9b1e8e9,,e9b1b3b8b2,,b5e2b9e3, O0 6 9 95a295,296953,925213,a25139,829182,980185,91a8a9,a91382,5a29a3 I1 15 16 e4b5e4,,h4e5,,4,,k5b4,,b4k5,,b4e5e4,,h5b4b5,,e5b4b5b4, O1 5 8 a45a4,b4a5,4,c54,4c5,4a5a4,b545,a5454 I2 18 20 4,,n4b8,,,,k4b8b4,,b9h4b8b4,,b4b9b5b8e4,,e4e9e4,,k4b9b4,,n4b9,,4, O2 6 10 4,d48,,c484,9b484,4958a4,a4a9a4,c494,d49,4 I3T 15 8 2,,,,e0h2,,e2e0b2, O3T None I4T 6 18 5,,b2b5,,5,,,,4,,,,,,b5b0,,b5b1, O4T None
5 4 2,,a0b2,a2a02
dataset=solve_scale group=x3down_y2down predict=image image_width=medium image_height=medium task_pixels=c
simon-arc-image-scale, Recognize the transformation between input and output. x5up_y1,x4up_y1,x2up_y1,x3down_y7up,x3up_y1
18 3 e7e5b6b5,b5b9e8b7b9,e7b4b9b8b9 6 21 a7a565,,,,,,,59a879,,,,,,,a74989,,,,,,
x5up_y1=0,x4up_y1=0,x2up_y1=0,x3down_y7up=1,x3up_y1=0
dataset=scale group=recognize_transformation image_width=medium image_height=small scalex=down3 scaley=up7
Process Simons-ARC-RLE-Image-Pair and return the overlap of colors
6 5 6,a63b6,69c6,c606,6 10 5 a9c0c9,b09a09b0,09b078b0,0909097a89,9090c9a0
0,9
dataset=image_pair group=color_intersection image_width=small image_height=small
simon-solve-version1 predict image for 'O4T'
I0 2 2 23,82 O0 4 2 a2a3,a8a2 I1 1 16 6,9,,,2,,,,,,,4,,,8, O1 2 16 6,9,,,2,,,,,,,4,,,8, I2 8 3 c45b4,c4b14,c1b74 O2 16 3 g4a5e4,g4e1a4,g1e7a4 I3 2 19 04,49,09,,,,,,,,,,39,32,02,23,,0,04 O3 4 19 a0a4,a4a9,a0a9,,,,,,,,,,a3a9,a3a2,a0a2,a2a3,,0,a0a4 I4T 10 17 0c250526,26257a05a2,a2a6752020,5b272a025,a6a271a6a2,625a27a652,2602076026,25a2676a26,2b6265620,6560b6a56,2025a61062,a2a6020626,562a5170a2,6b21a4202,25a14a6a20,2142526262,1525b6262 O4T None I5T 9 18 7373a8b7,787853737,b7357a87,783857878,b785c8,873875787,c785b7,3a8a75b7,f787,7a8b7837,c8d7,b7387b8,b78325a8,37a82a438,a7a24c7,72478b78,2a87878a7,7 O5T None
20 17 a0g2a5a0a5a2a6,a2a6a2a5a7c0a5c2,c2c6a7a5a2a0a2a0,a5e2a7a2c0a2a5,c6c2a7a1c6c2,a6a2a5c2a7c6a5a2,a2a6a0a2a0a7a6a0a2a6,a2a5c2a6a7a6c2a6,a2e6a2a6a5a6a2a0,a6a5a6a0e6c5a6,a2a0a2a5c6a1a0a6a2,c2c6a0a2a0a6a2a6,a5a6a2c5a1a7a0c2,a6e2a1c4a2a0a2,a2a5c1a4c6c2a0,a2a1a4a2a5a2a6a2a6a2,a1a5a2a5e6a2a6a2
dataset=solve_scale group=x2up_y1 predict=image image_width=medium image_height=medium task_pixels=b
SIMONSARCIMAGESHAPE shape3x3 histogram all9 number of unique colors
20 10 9,d9a4l9,e90c4h9,f9a039b4e9,f9a30b9b8c9,d9a3a9c8f9,b9a3c8a9a0f9,a93a8g90e9,9,
20 10 c1c2k1,c12b3c2g1,c12b3a43c2d1,d12a43a42b3a2b1,c1a2a3a45c3a2b1,a1a2c3a4c3b2b1,12e3a2c32d1,12c3h2d1,12a3a2e1b2d1,1
dataset=shape group=shape3x3_histogram_all9 image_width=medium image_height=small
Simon-Cellular-Automata, What transformation happens here. cave_wrap,highlife_nowrap,maze_wrap
16 15 8,,,,,,,,,,,e8a7g8,a7b8a7h8,a7c8a7g8,8 16 15 8,,,,,,,,,,,d8b7g8,a7b87i8,a7b8b7g8,8
cave_wrap=0,highlife_nowrap=1,maze_wrap=0
dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=medium image_height=medium
SimonsHistogram, unique color list
6:1091,9:822,8:609,0:572,4:527,1:331,7:103,2:69 7:1339,8:1339,9:1303,0:1287,6:1154,5:750,2:501,1:62
0,1,2,4,5,6,7,8,9
dataset=histogram_two group=unique_colors histogram_size=e
simon-solve-v1, 'O3T', predict the image
I0 5 11 121a2,212a1,21b2,b2a1,121a2,2,b212,21b2,b212,c21,121a2 O0 5 11 212a1,121a2,12b1,b1a2,212a1,1,b121,12b1,b121,c12,212a1 I1 4 7 b92,,92a9,a929,,9a29,b92 O1 4 7 b29,,29a2,a292,,2a92,b29 I2T 10 1 01a01a01a0 O2T None I3T 13 12 59a5959b5b9,a5b95a9a5a95,9a5i9,9a59b5a95b9,5a9b5c95a9,5c9595b9a5,5a9b59a5c9,a595g95,5a9595b9a595,9a5b959a5b9,9a595a9595b9,c9c5a95a9 O3T None
13 12 95a9595b9b5,a9b59a5a9a59,5a9i5,5a95b9a59b5,9a5b9c59a5,9c5959b5a9,9a5b95a9c5,a959g59,9a5959b5a959,5a9b595a9b5,5a959a5959b5,c5c9a59a5
dataset=solve_color group=swap_colors predict=image image_width=medium image_height=medium task_pixels=a
SIMONARCHISTOGRAM, Exclude Histogram-B colors from Histogram-A
4:1350,3:769,5:114 1:1072,0:477,6:120
4:1350,3:769,5:114
dataset=histogram_two group=a_remove_b_colors histogram_size=d
SimonsImageMass max mass 2, connectivity lr2
5 1 a1a05
5 1 1
dataset=mass group=max_mass image_width=small image_height=small connectivity=PixelConnectivity.LR2 max_mass=2
Simon-Cellular-Automaton, What transformation happens. maze_wrap,cave_nowrap,cave_wrap,highlife_nowrap,highlife_wrap
16 24 4,,,,,,,,,,,,,,,,,,,,,,, 16 24 4,,,,,,,,,,,,,,,,,,,,,,,
maze_wrap=1,cave_nowrap=1,cave_wrap=1,highlife_nowrap=1,highlife_wrap=1
dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=medium image_height=large
simons-image-pair, Histogram-B without colors of Histogram-a
12 7 1,h16a1,f1a06a1,b1a4a0a16a1,b1a0a4b161,1a0c1a4161,0g3a43 14 1 434b9b8d6
8:3,9:3
dataset=image_pair group=b_remove_a_colors image_width=medium image_height=small
SimonImageShape find shape2x2 bit 3
11 30 i02,06g06,2f0202,b06d060,a02e020,f06060,06a02a062a0,e0a2b0,206d0a20,02068b06a0,c08e0,60208d06,b08e02,b08d026,a028b02b0,0608062a0a2,b08c06a0,a082f0,0280a2d0,028a02d0,a08c062a6,60802a06b0,08a2b06b0,08a0b6c0,08c06c0,a02g0,b06f0,e0206a0,c06a02b0,e02c0
12 31 j01,10g101,a0e10101,0a10c1b01,a1a0d10a1,a10c1010a1,10a10b1a0a1,10a101b0b1,010b1c0a1,d0b1a0a1,1010c10b1,010f101,01b0d101,h1a01,a10c101a01,1a0a1b01a01,10b1a01b01,a1a0c10b1,101b0e1,c10f1,10b101c01,0b10b1b01,d0f1,a1e0c1,c1a0e1,1a0b10d1,a1a0g1,b10a1010b1,c101b0b1,c101a0c1,j01
dataset=shape group=shape2x2 image_width=medium image_height=large
SIMONSOLVEV1, 'O4T', predict the image
I0 1 2 8, O0 1 2 8, I1 2 3 89,,68 O1 2 3 68,89, I2 3 7 a64,3a6,364,636,,623,683 O2 3 7 364,636,,623,683,a64,3a6 I3T 7 4 c4b8,4b8b6,54a71a4,4a14a73 O3T None I4T 4 8 7976,7146,9763,9467,96a7,7872,2879,9a72 O4T None
4 8 9763,9467,96a7,7872,2879,9a72,7976,7146
dataset=solve_translate group=translate_yminus2 predict=image image_width=small image_height=small task_pixels=a
SIMONSIMAGESHAPE identify places where shape3x3opposite contains bit 1
9 20 a89493b9,4b948b9,98d939,8a94a9497,48d978,e9713,a4a945798,848a57138,8a5a93893,5a9831b9,c934a98,4b93b94,9893a9a84,b93a9898,9a43c94,4a93a9498,a8a3d9,a9389a398,d98b9,9398a9349
9 20 0,0a1010101,0a1c010,0e1a0,0a10a1b0,10a1c01,0,b01b010,0,b01b010,0a1010a10,101e0,0a1a01010,1a0b1a01,0d10a1,b0d10,01a01a0a1,c010b1,1a0a101a0,0
dataset=shape group=shape3x3_opposite image_width=small image_height=medium
SIMONCELLULARAUTOMATON, Given two images, recognize the transformation. serviettes_wrap,gameoflife_wrap,maze_nowrap,highlife_wrap,cave_wrap
16 24 l35a3,h3a5d3,a35f35d3,l35a3,h35e3,g3a5e3,3,a35l3,a3a535i3,3,n35,3,,,j35c3,,3,e3a5g3,n35,5n3,d3535g3,3,j35a3a5,k35b3 16 24 3,,,,,,,,,,,,,,,,,,,,,,,
serviettes_wrap=0,gameoflife_wrap=0,maze_nowrap=0,highlife_wrap=0,cave_wrap=1
dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=medium image_height=large
simonsolveversion1 'O4T' predict the image
I0 15 1 b48h7a9 O0 15 7 b48h7a9,,,,,, I1 19 2 a404b04f040a4,a040a4a04a040404a04 O1 19 14 a404b04f040a4,,,,,,,a040a4a04a040404a04,,,,,, I2 10 1 a696b4a64 O2 10 7 a696b4a64,,,,,, I3 6 1 b6b4 O3 6 7 b6b4,,,,,, I4T 17 2 a6c9j6,6b0a6b95f6 O4T None
17 14 a6c9j6,,,,,,,6b0a6b95f6,,,,,,
dataset=solve_scale group=x1_y7up predict=image image_width=medium image_height=medium task_pixels=b
SIMONSOLVEVERSION1, 'O3T', predict the image
I0 12 9 5,91i5,5a91g5,b5a9a1d5,d5a9a1b5,f5a9a15,h59a5,5, O0 1 1 1 I1 9 5 156a9a8a9,3a16956a9,a531d9,a6a9a8516,a9a8535a6 O1 1 1 3 I2 5 9 b5a7,575a7,a7575,c75,75a75,b575,c75,5,7a5a7 O2 1 1 5 I3T 9 7 a38a383a8,8a78b3a4,313c738,81a483b7,1428a3238,a34a232a8,b3a82a73 O3T None
1 1 1
dataset=solve_color group=least_popular_color_1x1 predict=image image_width=medium image_height=small task_pixels=a
Simon-ARC-Image-Shape shape3x3 histogram diamond5 number of unique colors
8 8 b95c9,a95d9,a1e9,19a1c9,9,,,
8 8 a1b2b1,23a2c1,a232c1,d2b1,21a2c1,1,,
dataset=shape group=shape3x3_histogram_diamond5 image_width=small image_height=small
simonsolvev1 predict image for O2T
I0 2 8 79,,,78,98,87,,58 O0 2 8 58,79,,,78,98,87, I1 8 1 e2a6 O1 8 1 c2a6a2 I2T 1 3 7,9,1 O2T None I3T 3 4 a50,1,545,415 O3T None
1 3 1,7,9
dataset=solve_translate group=translate_xminus2yplus1 predict=image image_width=small image_height=small task_pixels=a
SIMONARCRLEIMAGEPAIR, Histogram-B without colors of Histogram-a
15 7 c171817b18a1,h1810181,818e1810181,a187d18d9,a187a4a181917a1,c4a181807c1,8a171817a8a1871 14 10 90k5,09502b0b71a0,09a0527b01a07,079a052a7d0,0709a0a5e0,a07970705054a7,2b09a07a05b0,a74a09c05047,07b09b045a07,d07a4c070
5:22,2:4
dataset=image_pair group=b_remove_a_colors image_width=medium image_height=small
SimonImageMass identify places where max mass is 1, connectivity trbl2
8 9 c9b19,a91a9191,9a191949,9b19249,a9a12941,b929419,919a14a9,9191a491,a9e8
8 9 1a0b1a0,b01b01,e0a1,101b0a1,1a01c0,a01d0,0b1c0,a1b0101,10e1
dataset=mass group=max_mass image_width=small image_height=small connectivity=PixelConnectivity.TRBL2 max_mass=1
Process simons-arc-image-pair and return the overlap of colors
3 7 a57,575,5,a57,5,a57,5 13 1 b2b1f9
empty
dataset=image_pair group=color_intersection image_width=medium image_height=small
simons-cellular-automaton, What transformation happens here. serviettes_wrap,maze_nowrap
21 17 a4b2b4c2c424a24,42b42a4a2e4b2a4,24b2i4242424,242h42b4a2424,b4c2c4b2c4242,b4a2e4a2c4b24,g4a2b4a2b4242,4242a4d2a4242d4,a2424d24a2a4a2b42,a424d24b2a42b4a2,b2a424d24242b424,c4k2b4a2,c4242a424a2a4d24,4a2a424b2a4a2424a2a4,b24a24b2424a2a4b24,e4a2c4b2a42a42,b42d42a42c4b24 21 17 a4b2e42c42c4,42b42a42e42c42,24b2i42b424,242g4b2a4a2424,a42a42f42a42b42,b42e4a2a42a42a42,a4b2e424a2a4a2a4,42a4a2d42424a2a4a2,4242h424a2a4a2,l4242b424,b2k4a242a4,a24a2k42b4,b4a2n42,242k42c42,24c2b4b2b42b4a2,g24b2a4242b42,a4b2a4242a42b42b42
serviettes_wrap=0,maze_nowrap=0
dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=large image_height=medium
simonsolveversion1 predict image for O3T
I0 5 7 a53a9,98b9,58a93,9a432,a5425,39439,5c9 O0 7 5 5959535,5a845a9,3a9b49,b93239,a9325a9 I1 7 2 c5a05,5a80b5 O1 2 7 5,58,,50,05,,5 I2T 2 8 54,06,,36,64,60,, O2T None I3T 8 2 a6b7673,f67 O3T None
2 8 6,,76,,,6,76,37
dataset=solve_rotate group=flipa predict=image image_width=small image_height=small task_pixels=a
SimonArcImageScale scale-y down by 6
3 24 282,,,,,,286,,,,,,a28,,,,,,278,,,,,
3 4 282,286,a28,278
dataset=scale group=scale_input image_width=small image_height=large scalex=down1 scaley=down6
Simons-Image-Scale scale-x up by 7, scale-y down by 7
4 28 0164,,,,,,,40a4,,,,,,,b70,,,,,,,06a0,,,,,,
28 4 f0f1f6f4,f4f0m4,t7f0,f0f6m0
dataset=scale group=scale_input image_width=small image_height=large scalex=up7 scaley=down7
Simons-ARC-Image-Mass max mass 6, connectivity tlbr2
4 14 9,b92,,5929,,52a9,,5b9,9,,,,,
4 14 1,,,,,,,,,,,,,
dataset=mass group=max_mass image_width=small image_height=medium connectivity=PixelConnectivity.TLBR2 max_mass=6
SIMON-SOLVE-V1, O2T, predict image
I0 14 5 59b5c959595,c5c9d59,9a59b59b5a95,9c5b9a5a9a5,9e595959a5 O0 14 5 9,,,, I1 5 3 b371,1,b179 O1 5 3 9,, I2T 3 12 595,,9a5,0a5,,5,,,,,, O2T None I3T 12 13 0c80e8,0a80b2b808,a80808b0b8,90a8080c80,0a80d80a8,8b0a80d8,0a8080e8,e80d8,8,a8b0a80c8,b80a80b808,g80b8,b808080a808 O3T None
3 12 0,,,,,,,,,,,
dataset=solve_color group=least_popular_color_same predict=image image_width=medium image_height=medium task_pixels=a
Simon-Solve-Version1 'O2T' predict the image
I0 8 8 404702a9,14074942,02074b0,04242041,b401040,42742040,02714a01,0a204204 O0 8 8 4702a940,07494214,074c02,24204104,401040a4,74204042,714a0102,20420402 I1 8 4 c2a6a7,21a6b12,46a26328,1b6b28 O1 8 4 a2a6a7a2,a6b1a21,a2632846,a6b2816 I2T 4 8 7a54,7526,5727,5257,7207,8285,2787,a586 O2T None
4 8 5475,2675,2757,5752,0a72,8582,8727,86a5
dataset=solve_translate group=translate_xminus2 predict=image image_width=small image_height=small task_pixels=a
simon-arc-image-scale, What transformation happens. x4up_y1,x1_y1,x3up_y1,x2up_y1
4 3 8,,9 1 15 8,,,,,,,,,,9,,,,
x4up_y1=0,x1_y1=0,x3up_y1=0,x2up_y1=0
dataset=scale group=recognize_transformation image_width=small image_height=small scalex=down4 scaley=up5
simons-image-scale scaley=down7
17 21 a95d95939393a9,,,,,,,935a3593535959a59,,,,,,,95b939a3a93595a9,,,,,,
17 3 a95d95939393a9,935a3593535959a59,95b939a3a93595a9
dataset=scale group=scale_input image_width=medium image_height=large scalex=up1 scaley=down7
Simon-Solve-Version1, O4T, predict image
I0 10 18 d1d0,,,,,,d9d0,,,,,,d2d0,,,,, O0 2 3 10,90,20 I1 20 12 d5d9d2d5,,,,,,d5d6d1d0,,,,, O1 4 2 5925,5610 I2 20 12 i9d1d6,,,,,,d9i4d9,,,,, O2 4 2 a916,9a49 I3 20 18 i6d1d5,,,,,,i6i5,,,,,,d6d0d3d6,,,,, O3 4 3 a615,a6a5,6036 I4T 10 12 d3d9,,,,,,d0d6,,,,, O4T None I5T 15 18 i1d4,,,,,,d1i7,,,,,,i2d9,,,,, O5T None
2 2 39,06
dataset=solve_scale group=x5down_y6down predict=image image_width=medium image_height=medium task_pixels=c
simonsolvev1 predict image for 'O4T'
I0 6 8 53c2,5d2,,,,,,2 O0 1 1 2 I1 8 7 7a9d7,b79a797,e7a9,b7979a7,7,a79d7,9e79 O1 1 1 7 I2 7 9 9a46b4,946c4,9e4,9a4a5a4,b5c4,1e4,,,1a6c4 O2 1 1 4 I3 9 4 7,,, O3 1 1 7 I4T 4 11 7b3,3,7373,3,,,,,,7b3,3 O4T None
1 1 3
dataset=solve_color group=most_popular_color_1x1 predict=image image_width=small image_height=medium task_pixels=a
FlipA Simons-ARC-RLE-Image
4 2 7,9b7
2 4 79,7,,
dataset=image_deserialize group=flipa image_width=small image_height=small
SIMONIMAGEMASS max mass 7, connectivity 8
2 4 5,50,45,0
2 4 1,,,
dataset=mass group=max_mass image_width=small image_height=small connectivity=PixelConnectivity.ALL8 max_mass=7
SIMONSOLVEV1 predict image for 'O5T'
I0 5 4 b818,a8518,85138,181a8 O0 5 4 85138,181a8,b818,a8518 I1 4 5 a842,4842,0425,2a04,48a4 O1 4 5 2a04,48a4,a842,4842,0425 I2 5 1 b134 O2 5 1 b134 I3 1 3 9,5,3 O3 1 3 5,3,9 I4T 3 6 7a9,,689,687,787,7 O4T None I5T 6 6 43a484,a34984,a9b73,319343,a39b3,a34343 O5T None
6 6 a39b3,a34343,43a484,a34984,a9b73,319343
dataset=solve_translate group=translate_yplus2 predict=image image_width=small image_height=small task_pixels=a
simon-arc-image-mass identify places where max mass is 6, connectivity corner4
12 12 e36b363,3436b36c3,a3636b3a676,6g3173,36a36b31373,36a3a6a31637,6b36a31a367,b36431636a3,3a6a316c34,34b3134a3a6,6a4313634b3,3a613636c3
12 12 101b0101010,0101b010101,a0101b0c1,1g0b1,01a01b01010,01a0a1a0a101,1b01a01a0a1,b0a10a101a0,0a1a0a1c01,a1b0101a0a1,b1010101b0,c10101c0
dataset=mass group=max_mass image_width=medium image_height=medium connectivity=PixelConnectivity.CORNER4 max_mass=6
SIMONSOLVEVERSION1, O3T, predict image
I0 6 3 c3a4,38a483,a4b83 O0 6 3 a4b83,c3a4,38a483 I1 3 2 2a7,8 O1 3 2 8,2a7 I2 2 4 83,48,03,38 O2 2 4 38,83,48,03 I3T 4 3 8,a848,8 O3T None I4T 3 8 a02,4a7,4a2,,,,, O4T None
4 3 8,,a848
dataset=solve_translate group=translate_yplus1 predict=image image_width=small image_height=small task_pixels=a
Rotate cw SIMONSARCIMAGE
20 18 g27g27a2,7d21e27e2,7d28a1a25g2,7d287212a5f2,c27c82a15f2,2c82a8b27a17d2,c2b181c251c32,e28a2g1a27,e28c27a25b127,d2a8e275d2,27c287c27c27a2,b27a28g25c2,e28e2725c2,e2827b272725b2,e28h25b2,e28b27h2,c27282a7f27a2,b27a28k27
18 20 m2b72,f27c28d2,k28d2,7d27d28d2,27h2187c2,g28a2128c2,j81c812,f27b2b871a2,27a27e21282127,27g21b21b2,a27f21a21c2,h271271a5a2,c27a27a2121a5b2,d27a272151b272,c27b2a5a17d2,d2a5a2a13e2,b2a5c2a13e2,27d272123d27,j23e2,7g2a7f2
dataset=image_deserialize group=rotate_cw image_width=medium image_height=medium
SIMONSOLVEV1 predict image for 'O2T'
I0 6 2 010830,b1310 O0 6 2 1083a0,a13101 I1 2 5 79,,57,3,59 O1 2 5 75,3,95,97, I2T 5 1 9 O2T None I3T 1 1 4 O3T None
5 1 9
dataset=solve_translate group=translate_xminus1yminus2 predict=image image_width=small image_height=small task_pixels=a
SIMONSOLVEVERSION1 'O2T' predict the image
I0 11 6 0a450a452a4,a4c6a4512,4a0a49d6,a0e9015,2540b8a9a0,0a405404898 O0 11 12 0a450a452a4,,a4c6a4512,,4a0a49d6,,a0e9015,,2540b8a9a0,,0a405404898, I1 12 9 i969,g9a6a9,c9a0c579,a9c4b05a9,b94a6d49,b9645e9,a9a5g9,9, O1 12 18 i969,,g9a6a9,,c9a0c579,,a9c4b05a9,,b94a6d49,,b9645e9,,a9a5g9,,9,,, I2T 17 7 2,d2a8a9g2,c2892a82c7b2,b25a75d7d2,c725b7g2,c257a2a0f2,i20e2 O2T None
17 14 2,,d2a8a9g2,,c2892a82c7b2,,b25a75d7d2,,c725b7g2,,c257a2a0f2,,i20e2,
dataset=solve_scale group=x1_y2up predict=image image_width=medium image_height=medium task_pixels=b
simon-arc-rle-image-pair, unique colors that the 2 images have in common
19 9 a27b24b27a2727a24,a24d2a6a24a24b2,2727c267c6a27a2,c28b060a2a7b6a2,b247876c7d0a2,42a7c0e24c2,a2d75a4c242b4,74a24a2a724g2,a274b245a74a2424a2 18 4 b79c7c0d79,a797b480197d07,a3d70c7d19,a79793b7379d79
0,4,7,8
dataset=image_pair group=color_intersection image_width=medium image_height=small
simon-solve-v1, 'O5T', predict the image
I0 14 5 f4f5,f4f9,,f4f8,f4f9 O0 2 15 45,,,49,,,,,,48,,,49,, I1 14 2 2, O1 2 6 2,,,,, I2 7 5 6,,,, O2 1 15 6,,,,,,,,,,,,,, I3 14 2 1, O3 2 6 1,,,,, I4T 7 2 5,3 O4T None I5T 7 1 2 O5T None
1 3 2,,
dataset=solve_scale group=x7down_y3up predict=image image_width=medium image_height=medium task_pixels=a
SIMON-SOLVE-V1, 'O2T', predict the image
I0 4 3 a2a5,, O0 12 1 e2e5 I1 1 15 7,,,,,,,,,,,,,, O1 3 5 7,,,, I2T 5 3 9,, O2T None I3T 1 15 3,,,,,,,,,,,,,, O3T None
15 1 9
dataset=solve_scale group=x3up_y3down predict=image image_width=medium image_height=medium task_pixels=a
Simon-Solve-V1 predict image for O4T
I0 1 5 0,4,,3,0 O0 1 5 3,0,,4, I1 5 6 53a63,34a93,29536,2c3,b353,36363 O1 5 6 a35a3,636a3,3a635,4a9a3,95362,c32 I2 6 2 9b8a9,06a9a0 O2 6 2 b8b9,6a9b0 I3 2 5 0,08,10,0,05 O3 2 5 0,50,0,80,01 I4T 5 5 4,,47b6,a4254,b454 O4T None I5T 5 4 6,2a626,29232,a2362 O5T None
5 5 425a4,a45a4,4,,7b64
dataset=solve_translate group=translate_xminus1yplus2 predict=image image_width=small image_height=small task_pixels=a
Simon-Solve-V1 predict image for O3T
I0 4 2 5787,2a80 O0 4 2 8757,8028 I1 2 6 5,,,65,5, O1 2 6 5,,,65,5, I2T 6 7 a29b5,b2595,a02a52,b0525,590529,90a525,505250 O2T None I3T 7 2 b7b47,b72b7 O3T None
7 2 4c7a4,d727
dataset=solve_translate group=translate_xplus2 predict=image image_width=small image_height=small task_pixels=a
SIMONSOLVEV1, 'O4T', predict the image
I0 8 1 4f0 O0 8 1 e040 I1 1 6 3,7,9,,, O1 1 6 9,,,,3,7 I2 6 7 b19a1,,5b191,c191,5c19,d10,1 O2 6 7 a19151,a19b1,b1951,b10a1,1,19c1, I3 7 7 b56b5,,c56a5,,d565,5, O3 7 7 a56c5,,b56b5,5,,56d5, I4T 7 4 d7a6,3a76b3,c36a3,b3b97 O4T None
7 4 a36c3,3b97a3,b7a6a7,76c37
dataset=solve_translate group=translate_xminus2yminus2 predict=image image_width=small image_height=small task_pixels=a
simon-arc-image-mass max mass 6, connectivity topbottom2
15 11 c83a83b83b8,h83d8,8,h83a83a8,8,b83b86e83,g86e8,g86b83a8,a83b83a86d8,d8b386b838,e838c3b8
15 11 b0a1a0b10a101,b01b0b1a0101,,,,,,,a0a1a0c1a0101,a0a10d1a0b1,a0a10i1
dataset=mass group=max_mass image_width=medium image_height=medium connectivity=PixelConnectivity.TB2 max_mass=6
simons-cellular-automaton, HighLife wrap=xy. steps=1. alive=1. dead=7.
24 22 1b71b7a1b7a17a171a717,b171a7c171b7b171b7,1717171a7171e71a71a7,a71b7g17b17a17a1,b17a171c71717d1717,7c1b717d171a717171,71a7a1a7171d71b7c1,f17171a71a71b7a171,7a1717b1f7b1a7a17,17b17a1d7b17a1a7b1,b1b71d7171c7a1b7,a7b1a7a17b1f7c1,b17a1b7b1b7a1b71b7,7b1f7a17c1c7a1,b71d7b1a71a7a1b7a1,a7a17a1c71b7b1d71,1a717171a7171b71b717a1,a717c17a171b71a7171a7,d17a1717a1d7c171,71a71a71717g171717,a1b7a17c1a7a1a71717a1,1c7c1d7a1a71b717
24 22 1a7a1a71a71a7a1c7171a7,17171a71b7b17a1b7a1a7,b1b7a1d717171b7a17,7a171c71b7b1a71b717,b7b1h71g7,1d7b171717171b71717,e717b1b717a171c7,f7a1e7a1a71c7,1f7a1b71c7a1b71,c71b71c7b1g7,e7171b717a1a7a17b1,c717b1b7a171e7a1,d71a7a1b7a1a71a71b7,k7b1b71a7a17,7a1i7b1a71d7,a7a17a1a71a71a71a71a71a7,a1a71a7c171f7c1,b71d717b1b7a171b7,1c71a7b1b71g71,c71b71f71c7171,71a71a71b71e71b717,c71c71g71b717
dataset=cellular_automaton group=highlife_wrap ca_step=1 image_width=large image_height=large
simons-image-shape detect shape3x3opposite bit 1
27 30 b02a01f02d01d02,1e01b01e02g0,01a02c01d020a1g0,d02f012a0202f0,q02b01a010,a02l0202g0,a02d01n02a0,e02n021b0,j01d01b02b0a1,f0b2i01e0,c02121c01a02g01a0,a0201e02d01h0,a0102j01b02e0,e01e02101b02b02a0,1a02p02b020,l010a21h0,2b02c02i012d0,102d02d02b02c01b0,f02f021f01a0,b0201a02h0102e0,02f012f01b01c0,c01c0a2o0,a01j0201d01c0,a01a021s0,d01d01h01b020,h0a1c01d02d0,02c01c0201e01e0,f01h01a02e0,j01a01e02d0,t01d0
27 30 0,101a010a10c1a01a010d10,0c1010b101a0a1b0f1,10a10c10d101a0b10a101,a10a10f1a01c0f1,a10d10h10b101a01,a10b10h1010b1a0b1,a10d10a10d10b10a1b0,e1c0i101a0b1,c1c0b1a0a1010b10a1b0,a1010a1b010d10a10e1,a10a1b0c10a1a0b10b10a1,a101010c101a01a0a10b10a1,01b0j10b1a0b101,e10e1d0a10b10a1,0a1a0c10i10c101,010d10c1e0c10b1,0b10a1010d1a0b1a0a10a1,01a010g10b1010a10b1,10d101a0c1a010b1010a1,b1b0a1b0f1010e1,1a0e1a0b101010g1,a101b0a1a0o1,a10a10d10a1010c1a0a101,a10a1a0a1a0c10d10d1,10b1a0c1010e1a0b101,f101a0c1010a1a0d1,10c10c101a0d1a0d1,f10h10a1a0d1,0
dataset=shape group=shape3x3_opposite image_width=large image_height=large
SIMONARCIMAGESYMMETRY make symmetric vstack(orig orig, 180)
5 28 c37,63537,46537,6a357,b373,34376,a4a36,c36,6b36,a34a3,34a36,a34a3,437a3,63736,a3734,a37a3,,347a3,367a3,647a3,67343,37343,37b4,34a34,a4b3,3,a6343,c34
5 84 c37,63537,46537,6a357,b373,34376,a4a36,c36,6b36,a34a3,34a36,a34a3,437a3,63736,a3734,a37a3,,347a3,367a3,647a3,67343,37343,37b4,34a34,a4b3,3,a6343,c34,c37,63537,46537,6a357,b373,34376,a4a36,c36,6b36,a34a3,34a36,a34a3,437a3,63736,a3734,a37a3,,347a3,367a3,647a3,67343,37343,37b4,34a34,a4b3,3,a6343,c34,4c3,343a6,3,b3a4,4a343,b473,34373,34376,a3746,a3763,a3743,a37a3,,437a3,63736,a3734,a34a3,6a343,a34a3,6b36,6c3,6a3a4,67343,37b3,75a36,73564,73536,7c3
dataset=symmetry group=symmetry image_width=small image_height=large
Simon-ARC-Image-Symmetry make symmetric hstack(flipx flipx)
6 9 4a1419,d49,41a469,a4a169,4a1649,414649,41b41,,b41a4
12 9 914a14914a14,9d49d4,96a41496a414,96a1a496a1a4,946a14946a14,946414946414,1b4141b414,,a41d41b4
dataset=symmetry group=symmetry image_width=small image_height=small
Simon-Solve-V1 predict image for O4T
I0 7 4 1,7,3, O0 1 20 1,,,,,7,,,,,3,,,,,,,,, I1 14 1 f4f2 O1 2 5 42,,,, I2 7 3 8,0, O2 1 15 8,,,,,0,,,,,,,,, I3 14 2 7, O3 2 10 7,,,,,,,,, I4T 7 3 4,9,1 O4T None
1 15 4,,,,,9,,,,,1,,,,
dataset=solve_scale group=x7down_y5up predict=image image_width=medium image_height=medium task_pixels=a
Simon-Cellular-Automaton, What transformation happens. cave_wrap,serviettes_wrap
12 12 6,,,,,,,,,,, 12 12 6,,,,,,,,,,,
cave_wrap=1,serviettes_wrap=1
dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=medium image_height=medium
Simon-Solve-Version1 predict image for 'O3T'
I0 7 8 a434b3,a43c4,4a3a424,2a4a3a4,4,a4343a4,b42423,a4232a4 O0 7 8 b42324,3a434a3,b43b4,a4a3a42,42a4a34,4,b43434,3b4242 I1 8 6 a6361363,31367361,63607616,a6a57b6,a651b76,305715a6 O1 8 6 63057156,3a636136,13136736,a6360761,b6a57a6,b651b7 I2T 6 6 9,d92,,,, O2T None I3T 6 6 a36a06,a08b0,03a083,0b108,3015a8,08a351 O3T None
6 6 108a35,6a36a0,b08a0,303a08,80b10,830158
dataset=solve_translate group=translate_xplus1yplus1 predict=image image_width=small image_height=small task_pixels=a
simon-solve-version1, O4T, predict image
I0 8 9 8a0d8,858a08a3,85a8a398,85a8a987,5a898a78,586a7b8,567d8,6f8,8 O0 9 8 8387d8,83987c8,a8397c8,803987b8,80a897b8,0c867a8,0b5a86a8,c8b568 I1 9 4 3,,, O1 4 9 3,,,,,,,, I2 4 1 5 O2 1 4 5,,, I3 1 9 4,,,,6,,0,,9 O3 9 1 c4a6a09 I4T 9 7 5,,,,,, O4T None I5T 7 1 9e0 O5T None
7 9 5,,,,,,,,
dataset=solve_rotate group=rotate_ccw predict=image image_width=small image_height=small task_pixels=a
Simon-Cellular-Automaton, Game of Life with wrapxy. steps=1. 8 is dead. 7 is alive.
25 14 87a8787a8e7878a7a8a78,d787e878b78a78b7,b787a878a78a7878a78a7878,8a78b78a787878787878b78,b78787c8a78a787a87a8a7,787a878b78a78g7a87,a87b8a7a87a87a8787a87878,e78a78a7a87a8787878a7,8a78d7878c78b787a87,87c87878787a8a7c878a7,b78787878f78b78787,7a8a787a8a7a87d878b78,b7878a7878g787a8a7,78b787a87a87b87a8a7a878
25 14 e8a78b7a87i8,c878b7o8,f878b78787h8,c87878a7d878787d8,c87s8,a87a87a8a7j87b8,l87f87878,i87g8787878,i8787c878787b8,c87b8787i87b8,a87878787f8c7d8,c8787q8,e8a78787a8d7e8,c8787a87i8a7b8
dataset=cellular_automaton group=gameoflife_wrap ca_step=1 image_width=large image_height=medium
Rotate CounterClockwise simons-arc-image
4 18 a276,a272,2372,a267,,a260,,2606,2609,6039,3029,06a2,2627,,b23,a2a3,b23,6232
18 4 6a2a7a06b92a7b32,b7c6a03d2323,a23c2a6a0b6c2,h2630d26
dataset=image_deserialize group=rotate_ccw image_width=small image_height=medium
Simon-Solve-Version1, O4T, predict image
I0 9 13 39a59c3,959a3a9a3,939a3a935,g39,5a35a3935,b3a53a59,535b39a3,a3a9a39a3,9a393a939,9d3a09,a953a09a3,a39a35393,9a35a39a3 O0 9 13 3,,,,,,,,,,,, I1 13 13 e090a2b0,a906a0a2d0,b09a27070760,09a2f070,a29a09079b07,b07909a09090,096c07b070,7a0a909a070a6,09b09d070,c097d070,6a7c0909090,7a09e06a0,67909e090 O1 13 13 0,,,,,,,,,,,, I2 13 6 f9b0b9,b9c0e9,2a09a8f9,29a69a48d9,a6c95b4b9,g959a49 O2 13 6 9,,,,, I3 6 11 c767,595675,576b7,769b7,85b79,8b757,85b75,8a7579,8a5957,c757,a5b75 O3 6 11 7,,,,,,,,,, I4T 11 14 8c2181a91,a823a2a9a83,3281a928183,23a9a818312,69a35231a82,682575b823,685370b828,65127858282,5181a808282,b2c8a281,82131a82813,a823b82028,238a382a8a2,28a2a812313 O4T None I5T 14 5 b8a0c8a0808,080d3b4808,2a08b1a68a0a8,20a50f6a8,a5b8a08c0a8 O5T None
11 14 8,,,,,,,,,,,,,
dataset=solve_color group=most_popular_color_same predict=image image_width=medium image_height=medium task_pixels=c
SIMONSOLVEVERSION1 predict image for O3T
I0 4 9 b24,,,9a41,,,1492,, O0 20 3 n2d4,d9i4d1,d1d4d9d2 I1 3 12 927,,,4,,,093,,,a93,, O1 15 4 d9d2d7,4,d0d9d3,i9d3 I2 4 12 0a54,,,5045,,,50a5,,,a505,, O2 20 4 d0i5d4,d5d0d4d5,d5d0i5,i5d0d5 I3T 4 18 a469,,,6b8,,,b64,,,9a69,,,67a6,,,a1a6,, O3T None
20 6 i4d6d9,d6n8,n6d4,d9i6d9,d6d7i6,i1i6
dataset=solve_scale group=x5up_y3down predict=image image_width=medium image_height=medium task_pixels=a
SIMONIMAGESYMMETRY symmetry vstack(flipy 180)
3 11 718,a71,a31,230,,2a3,,207,209,7,3a7
3 22 3a7,7,209,207,2a3,,230,,a31,a71,718,a73,7,902,702,a32,,032,,1a3,1a7,817
dataset=symmetry group=symmetry image_width=small image_height=medium
simons-image-symmetry apply symmetry hstack(orig flipy flipx)
11 6 c454a5b4,45a4a5d4,454b5d4,58a45a4a5a4,584d5b4,b4a54b5a4
33 6 c454a5e4a54b5d4a545c4,45a4a5d4584d5g4a5a454,454b5d458a45a4a5f4b5454,58a45a4a5b454b5f4a5a45a485,584d5c45a4a5g4d5485,b4a54b5e454a5d4b54a5b4
dataset=symmetry group=symmetry image_width=medium image_height=small
simons-arc-image-mass identify places where max mass is 2, connectivity nearest4
8 13 4184b84,461b848,8618a424,08614820,08614828,04641024,8a401a02,a40b202,b2a4802,8c4a82,8a080a82,4c8a40,084b848
8 13 c1b01,b1b0a1,b1c01,01010101,,b0a1a01,1a0a1b0,a01d0,0,1f0,b101b0,1e01,101c01
dataset=mass group=max_mass image_width=small image_height=medium connectivity=PixelConnectivity.NEAREST4 max_mass=2
SIMONSOLVEV1, 'O3T', predict the image
I0 5 2 437a3,b323 O0 5 2 437a3,b323 I1 2 2 73,37 O1 2 2 73,37 I2 2 5 9,92,52,29,9 O2 2 5 52,29,9,,92 I3T 5 1 6a7a6 O3T None I4T 1 2 7, O4T None
5 1 6a7a6
dataset=solve_translate group=translate_yminus2 predict=image image_width=small image_height=small task_pixels=a
Half rotate simons-arc-image
12 11 a804b08c0,080a868d0,04a0a8a68a08,08a080a8a6a0,4g8040,0380a8a08a08,803a84a084a8,0438080a8b0,40a84040c8,a80804a04a08,484a080c80
12 11 0c808a0484,8a04a04080a8,c80404a804,b0a80808340,a848a04a8308,8a08a0a80830,040g84,a0a6a808a080,8a08a6a8a040,d086a8080,c08b040a8
dataset=image_deserialize group=rotate_180 image_width=medium image_height=medium
SimonArcImageSymmetry make symmetric 2x2(flipy 180 180 flipy)
9 17 0,,f090,d0a970,c09a070,a0a9a07a0,0240407a0,a040407a0,,b0904b0,b0694b0,,b0304b0,b03d0,a03e0,0,
18 34 0,,a03k03a0,b03i03b0,b0304e0403b0,b0694e0496b0,,b0904e0409b0,a040407c070404a0,,0240407c07040420,a0a9a07c07a0a9a0,c09a07a07a09c0,d0a97a07a9d0,f09a09f0,0,,,,e03c03e0,d03e03d0,b0403e0304b0,b0496e0694b0,,b0409e0904b0,a070404c040407a0,,a0704042a0240407a0,a07a0a9c0a9a07a0,07a09g09a070,07a9i0a970,09m090,0,
dataset=symmetry group=symmetry image_width=small image_height=medium
Simon-Image-Mass max mass 6, connectivity all8
10 8 6065c060,a6050b606,4695a1b60,0495d60,a6465d6,a642560a60,b6456a0a6,c640b60
10 8 b1f0,,b10a1c0,b1f0,a01f0,a0a1a01a01,b01a0a1a0,c0a1b01
dataset=mass group=max_mass image_width=small image_height=small connectivity=PixelConnectivity.ALL8 max_mass=6
Simon-Image-Scale scalex=up6
1 13 4,8,,,,,,,7,8,,,
6 13 4,8,,,,,,,7,8,,,
dataset=scale group=scale_input image_width=small image_height=medium scalex=up6 scaley=up1
SIMON-SOLVE-V1 'O4T' predict the image
I0 6 4 59a2a0,859a02,b5a95,a5b29 O0 6 4 a5b29,b5a95,859a02,59a2a0 I1 4 5 6,,,, O1 4 5 6,,,, I2 5 5 3a608,5,c63,31636,863a6 O2 5 5 863a6,31636,c63,5,3a608 I3T 5 10 9,96b9,,560a9,96b9,,,,9, O3T None I4T 10 8 8b3c838,b863d8,a8346a83a8,362486b83,a8a6863838,3a84b6b8,3a84a8a683,b84a3a838 O4T None
10 8 b84a3a838,3a84a8a683,3a84b6b8,a8a6863838,362486b83,a8346a83a8,b863d8,8b3c838
dataset=solve_rotate group=flipy predict=image image_width=small image_height=small task_pixels=a
Process simons-arc-image-pair and return the number of colors in common
16 10 06062a0202a02120,2a106d0201202,160a606a0a260620,021021262a016161,206a02b01b6a12,a21a602062626a02,2621a02a606121a6,20602a021b0a160,a2b60a120a61262,a6a0b2160a6a106 19 6 58a585b1818a1058a1,15a1a85a151810b151,a18c1318510158a15,8a5158a138a10b1851,a15e13108a181a8,a8b18b186b18b18
3
dataset=image_pair group=number_of_intersection_colors image_width=medium image_height=small
SIMONSARCIMAGESYMMETRY symmetry 2x2(flipx flipy orig flipy)
20 30 5454d5h0a5,a49b54d594d54,b54b54f59c5,59595a4d595459b5,e5945459454d5,5959b54d549a4545,b5459a5b4a5a454b5,459a59m5,45a45a94a54a59a59b5,59a5454b59h5,b54b54a54h5,c54c5454d59a5,b5b4b59d54c5,59a549e59b54505,545a4d5954f5,d54a594a54c50a5,494f54a5a6b545,e58c5a659b545,a4545485b64549a5a45,e5a64g54a5,c5b4a594e5945,f594b54b54549,59c5a4b594c54a5,a54a594d545a95945,c545454h5a9,9d59a54i5,454d5959454549b5,4a54a59c5459a595a4,g595a4a59b545,4c54e545454b9
40 60 a5h0d545454c54e545454b9,4d549d54b59a4g595a4a59b545,c59f54b54b54a54a59c5459a595a4,b595459d5a459595454d5959454549b5,d5454954549e59d59a54i5,545a494d54b5959d545454h5a9,b545a4a5b4a5954d54a594d545a95945,m59a595459c5a4b594c54a5,b59a59a54a54a95a454f594b54b54549,h59b5454a59d5b4a594e5945,h54a54b54h5a64g54a5,a59d5454c54c5a4545485b64549a5a45,c54d59b5b4h58c5a659b545,5054b59e594a595494f54a5a6b545,f5459d5a454e54a594a54c50a5,a50c54a549a54e545a4d5954f5,54b5a6a54f549459a549e59b54505,54b595a6c58h5b4b59d54c5,5a4a59454b6584545a4c54c5454d59a5,a54g54a6h54b54a54h5,549e549a5b4d59a5454b59h5,9454b54b549f545a45a94a54a59a59b5,a54c549b5a4c595459a59m5,5495a954d549a54d5459a5b4a5a454b5,a9h545454d5959b54d549a4545,i54a59d59e5945459454d5,b5945454959d545459595a4d595459b5,a459a5954c59a54a54b54b54f59c5,54b59a5a459g5a49b54d594d54,b945454e54c545454d5h0a5,5454d5h0a54c54e545454b9,a49b54d594d54g595a4a59b545,b54b54f59c54a54a59c5459a595a4,59595a4d595459b5454d5959454549b5,e5945459454d59d59a54i5,5959b54d549a454d545454h5a9,b5459a5b4a5a454d54a594d545a95945,459a59n59c5a4b594c54a5,45a45a94a54a59a59i594b54b54549,59a5454b59l5b4a594e5945,b54b54a54n5a64g54a5,c54c5454d59a5a4545485b64549a5a45,b5b4b59d54i58c5a659b545,59a549e59b54505494f54a5a6b545,545a4d5954k54a594a54c50a5,d54a594a54c50b545a4d5954f5,494f54a5a6b54a59a549e59b54505,e58c5a659b54c5b4b59d54c5,a4545485b64549a5a4d54c5454d59a5,e5a64g54d54b54a54h5,c5b4a594e594a59a5454b59h5,f594b54b5454945a45a94a54a59a59b5,59c5a4b594c54a5459a59m5,a54a594d545a9594c5459a5b4a5a454b5,c545454h5a95959b54d549a4545,9d59a54o5945459454d5,454d5959454549c59595a4d595459b5,4a54a59c5459a595a4b54b54f59c5,g595a4a59b545a49b54d594d54,4c54e545454b95454d5h0a5
dataset=symmetry group=symmetry image_width=medium image_height=large
SimonCellularAutomaton, Identify the transformation. highlife_wrap,cave_nowrap,cave_wrap,gameoflife_wrap
17 13 b393939c393939,b3939d3939b3,3a93a939d39b3,a393a9d3a93b9,b3b93939b3a9a3,c3a939b39b393,c39c39f3,d3a9i3,a39d39d39a3,3a9b3b9d3b9,b39a39e3a9a3,9a393a939g3,d39e3d9 17 13 3,c39k3,c3a9j3,b3b9g39a3,,c3a9j3,3,,,f39e3a93,e3a9h3,3,
highlife_wrap=0,cave_nowrap=1,cave_wrap=0,gameoflife_wrap=0
dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=medium image_height=medium
SimonsArcImageScale scale-x down by 7, scale-y up by 7
7 3 2,4,
1 21 2,,,,,,,4,,,,,,,,,,,,,
dataset=scale group=scale_input image_width=small image_height=small scalex=down7 scaley=up7
simonsolvev1, O5T, predict image
I0 1 6 9,1,,,,9 O0 1 6 9,1,,,,9 I1 6 1 c534 O1 6 1 43c5 I2 1 2 3, O2 1 2 3, I3 2 5 76,72,20,2,62 O3 2 5 26,2,02,27,67 I4T 5 2 526a3,a0353 O4T None I5T 2 10 85,15,01,,1,18,1,81,,86 O5T None
2 10 68,18,,1,81,1,10,,51,58
dataset=solve_rotate group=rotate_180 predict=image image_width=small image_height=small task_pixels=a
Simons-ARC-Image-Shape shape3x3 histogram diamond4 number of unique colors
25 19 a54d5854b5845454c57,a5a4a57b5858e58a5384,a54b5a74548a545757453a15,e5a4545a45a85a45a1285,b54a545a478b5484a1a2b5,c57454a54b574a152c54,c54e5a75a15a83c54,a575b454854a15a853e5,458f5a1b54834c545,a5c4a5a147854a53b5a4a8,4d5a1747a5b43a5454b5,848a51d54a543c57a545,e5857a4a574354854a585,a545454545a4549a5454a57a5,a54d54c541a9c54585,a545454a545484c70e5,7475b4f5b45a1054a5,e54a584a54b54a5a1b5,57a54c5a454b547b54a75
25 19 1b2a1a213f21b21232,1f23b2123b23b2343,1b212a3c23a24132342b3,a1a212a31a232c3242c32,a1213a212c314f3b2,b13b21b24a2a3a4a3a21a2,a1a23d2d342b32a1a2,b23e2434234a232b1a2,1b3b21b343b2a4a21b23,a23b232a32423a2323b2a32,a23a232b32a3213b213a232,d213b2312b3b2323b2,a231232323c24b323a23a2,1b21b23c24b323123131,1c21e2b3434b21412,a23e21b24e3c21,b23c213c2e324121,2321e23a21c232a3421,21a21a2123a2121c21b3a2
dataset=shape group=shape3x3_histogram_diamond4 image_width=large image_height=medium
Simon-Cellular-Automata, What transformation happens. highlife_nowrap,gameoflife_nowrap,gameoflife_wrap
13 18 c1a8f1,1,,f18d1,1,,,f18d1,e1a8d1,,1,,,,,e18e1,1,c1b8e1 13 18 d18f1,1,,,,,,,e1a8d1,1,,,,,,,,d18f1
highlife_nowrap=0,gameoflife_nowrap=0,gameoflife_wrap=0
dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=medium image_height=medium
SimonsHistogram plus
7:1569,6:1288,3:1271,9:963,2:917,1:866,8:850,5:418,0:7 2:1391,3:1329,4:1068,8:903,7:835,1:746,5:531
3:2600,7:2404,2:2308,8:1753,1:1612,6:1288,4:1068,9:963,5:949,0:7
dataset=histogram_two group=add histogram_size=e
SIMONARCHISTOGRAM, perform subtract
9:1224 5:1371,9:1350,7:740,4:543
empty
dataset=histogram_two group=subtract histogram_size=d
simon-image-mass identify places where max mass is 7, connectivity 8
2 5 58,25,5,,81
2 5 1,,,,
dataset=mass group=max_mass image_width=small image_height=small connectivity=PixelConnectivity.ALL8 max_mass=7
SIMONSARCRLEIMAGEPAIR, histogram-b without colors of histogram-a
18 4 a4b5a6194a3e4,a43a4a5a6c124394,934b3b46015b1a3,b34343b431a4c5 8 9 3,,,,d3a63,b3a6b3,3a6d3,3,
empty
dataset=image_pair group=b_remove_a_colors image_width=medium image_height=small
Simon-Solve-Version1 predict image for O5T
I0 12 2 1412424121a4,a134b124131 O0 12 6 1412424121a4,,,a134b124131,, I1 7 4 3,c37a3,b37b3, O1 7 12 3,,,c37a3,,,b37b3,,,,, I2 14 6 9,h93c9,,i9a3a9,e9e2a9,b9g53a9 O2 14 18 9,,,h93c9,,,,,,i9a3a9,,,e9e2a9,,,b9g53a9,, I3 15 1 b37g4b3 O3 15 3 b37g4b3,, I4T 1 1 2 O4T None I5T 2 6 9,,,89,0,98 O5T None
2 18 9,,,,,,,,,89,,,0,,,98,,
dataset=solve_scale group=x1_y3up predict=image image_width=medium image_height=medium task_pixels=b
SIMONSOLVEVERSION1 predict image for 'O3T'
I0 3 7 393,,3,1a3,,4a3, O0 3 7 a34,,9a3,,3,a31, I1 7 5 7,,,, O1 7 5 7,,,, I2T 5 1 30b9 O2T None I3T 1 2 8,4 O3T None
1 2 8,4
dataset=solve_translate group=translate_xplus2yplus2 predict=image image_width=small image_height=small task_pixels=a
SimonArcImageShape number of unique colors inside shape3x3histogramcorners
5 2 1,a1a21
5 2 1b21,1
dataset=shape group=shape3x3_histogram_corners image_width=small image_height=small
simons-image-scale scale-x down by 4
20 6 g7c8c1c8,c3k1c5,c7g1c8c5,c3g1c5c7,c1g3c5c1,c1c3c5c8c1
5 6 a7818,3b15,7a185,3a157,1a351,13581
dataset=scale group=scale_input image_width=medium image_height=small scalex=down4 scaley=down1
simonhistogram minimum
7:1354,0:1144,9:1046,4:912,3:734,2:715,5:668,1:634 4:1413,1:955,6:705,2:558,5:192,7:181,9:33
4:912,1:634,2:558,5:192,7:181,9:33
dataset=histogram_two group=min histogram_size=e
SIMON-ARC-HISTOGRAM, unique color list
0:1164,2:929,5:403 6:599,7:112,9:67
0,2,5,6,7,9
dataset=histogram_two group=unique_colors histogram_size=d
simon-arc-image-shape identify places where shape3x3opposite contains bit 2
16 4 f9a718a0979,c9b7b8a17a09,a9a7k4,a8c79a7e97
16 4 0,0a1l0,b0b1g010,0
dataset=shape group=shape3x3_opposite image_width=medium image_height=small
simon-image-scale scale-y up by 6
14 3 a8e15a45a4,45a4b28e1,5c4545a4a945
14 18 a8e15a45a4,,,,,,45a4b28e1,,,,,,5c4545a4a945,,,,,
dataset=scale group=scale_input image_width=medium image_height=small scalex=down1 scaley=up6
simon-image-symmetry symmetry vstack(180 flipx)
4 12 a828,8286,2a82,8b2,2b8,2686,a828,8,6238,b83,8382,3b8
4 24 b83,2838,3b8,8326,8,82a8,6862,b82,b28,2a82,6828,82a8,,6828,2a82,b28,b82,6862,82a8,8,8326,3b8,2838,b83
dataset=symmetry group=symmetry image_width=small image_height=medium
number of unique colors in Simon-ARC-Histogram
8:5112,9:4828,0:4552,1:3318,3:1950,2:68
6
dataset=histogram_one group=number_of_unique_colors histogram_size=e
simonsolvev1 'O3T' predict the image
I0 8 8 a38737a3,a37a8373,37b3a83,385b737,a7a57b3,b35c3,a7353737,a37373a7 O0 8 8 c37373,a3787373,873a5a37,7837b53,383a7a37,7387a373,378c37,b37a3a7 I1 8 1 a5a20252 O1 1 8 5,,2,,0,2,5,2 I2 1 4 0,8,3, O2 4 1 08a3 I3T 4 8 78a7,7a87,7878,78a7,,,,7 O3T None I4T 8 6 a72479a7,a0424107,a7b1707,a1c707,9a797a87,c78b7 O4T None
8 4 7,f87,78e7,a78d7
dataset=solve_rotate group=flipa predict=image image_width=small image_height=small task_pixels=a
End of preview. Expand in Dataset Viewer.

Version 1

A combination of multiple datasets.

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

Version 2

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

Version 3

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

Version 4

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

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

Version 5

Different random seed.

Version 6

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

Version 7

Using SIMON-SOLVE-V1 everywhere.

Version 8

Same settings. Different seed as usual.

Version 9

Switching from context length 256 to context length 512.

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

dataset_solve_color, image size: 1-13.

dataset_solve_rotate, image size: 1-9.

dataset_solve_translate, image size: 3-9.

Version 10

Same settings. Different seed as usual.

Version 11

Same settings. Different seed as usual.

Version 12

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

Version 13

Same settings. Different seed as usual.

Version 14

Same settings. Different seed as usual.

Version 15

Same settings. Different seed as usual.

Version 16

Added Predict the output image.

Disabled prediction of rows.

Disabled prediction of height.

Verison 17

Same settings. Different seed as usual.

Using the DatasetGenerator and the DatasetItemListBuilder.

Verison 18

Added datasets.

Datasets:

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

Verison 19

Added dataset.

Datasets:

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

Verison 20

Bigger images.

Verison 21

Added dataset. Disabled some datasets.

Datasets:

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

Verison 22

Added dataset.

Datasets:

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

Bigger image sizes.

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

Verison 23

datset_mass.jsonl. increased to max_mass=5.

Verison 24

datset_mass.jsonl. increased to max_mass=6.

Verison 25

different seed.

Verison 26

datset_mass.jsonl. increased to max_mass=25.

different seed.

Verison 27

different seed.

Verison 28

different seed.

Verison 29

different seed.

Verison 30

different seed.

Verison 31

different seed.

Verison 32

different seed.

Verison 33

Disabled some dataset.

Datasets:

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

Verison 34

Enabled all datasets.

Version 35

Regenerated all datasets with new random seeds.

Verison 36

Added dataset dataset_scale.jsonl.

Disabled some dataset.

Datasets:

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

Verison 37

Enabled all datasets

Datasets:

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

Verison 38

Added dataset

Datasets:

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

Version 39

Regenerated all datasets with new random seeds.

Version 40

Added dataset

Datasets:

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

Version 41

Regenerated all datasets with new random seeds.

Version 42

Added dataset. Disabled some datasets.

Datasets:

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

Version 43

Enabled all datasets.

Version 44

Regenerated all datasets with new random seeds.

Version 45

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

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Size of downloaded dataset files:
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Size of the auto-converted Parquet files:
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Number of rows:
199,992