Hugging Face's logo

Datasets:
neoneye
/
simon-arc-combine-v77

Tasks:
Image-to-Text
Text-to-Image
Modalities:
Text
Formats:
json
Languages:
English
Size:
100K - 1M
Libraries:
Datasets
pandas
License:
Dataset card Data Studio Files
xet
 Community
Dataset Viewer
Auto-converted to Parquet Duplicate
instruction
stringlengths
18
161
input
stringlengths
4
1.69k
output
stringlengths
1
4.25k
benchmark
stringlengths
48
164
SIMONARCIMAGESCALE scalex=up3 scaley=up4
5 5 b272,296a2,29042,a2967,2
15 20 h2b7b2,,,,b2b9b6e2,,,,b2b9b0b4b2,,,,e2b9b6b7,,,,2,,,
dataset=scale group=scale_input image_width=small image_height=small scalex=up3 scaley=up4
simon-image-dilation dilation mask lr2
8 15 a0a9a7a9,7970a7a9,b7a90a7,c79b7,c70707,a9b7070,7b97979,b790979,07070797,a79a7a97,707a9a79,9b79707,0c7097,907a97a9,79d70
8 15 0e10,1b2b10,a0b1210,b0121a0,b01b21,0a101a21,a101b21,a01c21,1e21,012d1,1a2d1,a101b21,a1a01a21,1a2a1210,121b0a1
dataset=dilation group=apply_dilation image_width=small image_height=medium connectivity=lr2
Sum these SIMONS-ARC-HISTOGRAM
0:1597,9:1226,7:1159,1:1035,6:869,3:808 4:1070,0:935,2:470
0:2532,9:1226,7:1159,4:1070,1:1035,6:869,3:808,2:470
dataset=histogram_two group=add histogram_size=d
SimonArcImageScale scalex=up3 scaley=up5
8 1 24a56a54
24 5 b2b4e5b6e5b4,,,,
dataset=scale group=scale_input image_width=small image_height=small scalex=up3 scaley=up5
SIMON-SOLVE-VERSION1, 'O3T', predict the image
I0 6 2 d70,46a496 O0 5 2 c70,46496 I1 6 6 4249a4,4,,a1c4,a4b14,2b414 O1 6 5 4249a4,4,a1c4,a4b14,2b414 I2 5 3 5,a2965,a5958 O2 4 3 5,2965,5958 I3T 5 2 4c7,03b8 O3T None
3 2 4a7,038
dataset=solve_compress group=compressxy predict=image image_width=small image_height=small task_pixels=a
SIMON-SOLVE-VERSION1, O4T, predict image
I0 8 6 c40b4,a6a409a4,a4b69a4,4a5b454,a49b545,c492a5 O0 8 6 b40c4,a490a4a6,a49b6a4,45b4a54,54b59a4,a529c4 I1 6 9 a53475,575345,547535,a57437,74b53,a547a2,475432,a5a3a5,7a5757 O1 6 9 5743a5,543575,535745,7347a5,3b547,a274a5,234574,a5a3a5,757a57 I2 9 1 5b2a0825 O2 9 1 528a0b25 I3T 1 10 3,,6,2,,,,,,5 O3T None I4T 10 9 b1a7b171,a7a170a1a7,70c9a7a1,1a7872b97,a17872a101,7170801701,01a78a7b1,a1717817a1,7b178a171 O4T None
10 9 17b1a7b1,a7a107a1a7,a1a7c907,7b9278a71,10a12787a1,1071080717,b1a78a710,a1718717a1,17a187b17
dataset=solve_rotate group=flipx predict=image image_width=small image_height=small task_pixels=a
simon-solve-version1, O5T, predict image
I0 4 8 a4a7,,4,,7,,a7a4, O0 4 16 7b4,a7a4,4,47a4,7474,7,4,4747,4,,,,a474,a4a7,4,b47 I1 4 8 a4a7,,,,4,,7, O1 4 16 7b4,,a7a4,4,7b4,,a7a4,4,7474,,7,4,,,, I2 8 4 e4a7,,c7a4a7, O2 16 4 b74b74b7d4,a47b47b47d4,g4b7d4,i47d4 I3 8 6 c4c7,,a4a7a4a7,,c4c7, O3 16 9 a7a4a7i4,7474747h4,a7a4a7i4,a7e4a7e4,747d4747d4,a7e4a7e4,a7a4a7i4,7474747h4,a7a4a7i4 I4T 6 6 c7a4,,c4a7,,a4c7, O4T None I5T 8 8 a7a4c7,,4,,c4c7,,c7a4a7, O5T None
16 16 d47i4,c4c7g4,c4a7i4,e47h4,47b47b47b47a4,7,a7a4a7a4a7a4a7a4,a47b47b47b474,47b47i4,g7g4,a7a4a7i4,a47b47h4,h47e4,g4c7c4,g4a7e4,i47d4
dataset=solve_fractal group=pattern_to_fractal predict=image image_width=medium image_height=medium task_pixels=b
SimonsImageShape find shape3x3opposite bit 1
14 17 0102a02120a2a0,0b1a0a1021020,a0a1b0121a0a1,010a9102b1a02,10120920a10120,2a1020a1010b1,020101021d0,1b21b015b01,0102d0b1a0,a021a01a015101,12a0a101a01010,d091a0105a0,0a10191a0215a0,02a019b1a0350,01a090121a31a0,1a2092b312a02,0210a3010a12a1
14 17 0,1b0a10a1d0,a1g0a1a0,0a101c0a1b0,01f01c0,c01b0101a01,d01c01a01,1010101d0a1,a01a0101c0a1,a01b010101a01,a1a010c1a010,b0a1b0101a01,10a10a1b01a01,a101a01d0a1,0101i0,1a01i0,0
dataset=shape group=shape3x3_opposite image_width=medium image_height=medium
simon-solve-v1 predict image for 'O2T'
I0 3 5 987,970,,7a0,a50 O0 3 4 987,970,7a0,a50 I1 6 5 5,,,, O1 1 1 5 I2T 4 4 9b4,4,,a5a4 O2T None I3T 2 3 52,,56 O3T None
3 3 9a4,4,a54
dataset=solve_compress group=compressxy predict=image image_width=small image_height=small task_pixels=a
SIMONIMAGEMASS max mass 6, connectivity corner4
5 1 a4901
5 1 1
dataset=mass group=max_mass image_width=small image_height=small connectivity=PixelConnectivity.CORNER4 max_mass=6
simons-cellular-automaton, What transformation happens. cave_nowrap,gameoflife_wrap
13 18 4,,,d4a1e4,4141h4,4,,f41d4,e4b1c4,c4b1e4,1a4a1f41,14141d41a4,1j41,141h41,1i4a1,c1d41414,b41c4a1414,4 13 18 4,,,,,,,e4b1c4,g41c4,b4a141e4,41j4,1b41e414,1a41f414,1j41,1a41e4b1,c1c4a1414,4141c4a1b4,4
cave_nowrap=0,gameoflife_wrap=0
dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=medium image_height=medium
simon-solve-version1 predict image for O4T
I0 3 19 5,545,575,5,757,7a5,a54,725,520,540,046,349,249,264,564,764,564,565, O0 18 19 5,e5e4e5,e5e7e5,5,e7e5e7,e7k5,k5e4,e7e2e5,e5e2e0,e5e4e0,e0e4e6,e3e4e9,e2e4e9,e2e6e4,e5e6e4,e7e6e4,e5e6e4,e5e6e5, I1 3 8 454,484,,418,515,851,841,484 O1 18 8 e4e5e4,e4e8e4,,e4e1e8,e5e1e5,e8e5e1,e8e4e1,e4e8e4 I2 1 13 1,,3,4,,,,,,1,,3,1 O2 6 13 1,,3,4,,,,,,1,,3,1 I3T 2 11 0,,,,04,74,,,04,,0 O3T None I4T 2 17 3,39,93,9,32,92,32,,,,26,,,,,,36 O4T None
12 17 3,e3e9,e9e3,9,e3e2,e9e2,e3e2,,,,e2e6,,,,,,e3e6
dataset=solve_scale group=x6up_y1 predict=image image_width=medium image_height=medium task_pixels=b
simonsolvev1, O4T, predict image
I0 3 1 8a1 O0 1 3 1,,8 I1 1 6 2,,4,,,9 O1 6 1 9b4a2 I2 6 2 d01,a0c3 O2 2 6 31,30,,,0, I3T 2 3 01,,03 O3T None I4T 3 7 a87,798,869,868,846,786,a76 O4T None
7 3 b68987,784a698,a7b878
dataset=solve_rotate group=flipb predict=image image_width=small image_height=small task_pixels=a
Simons-Image-Shape find shape3x3opposite bit 3
29 24 c34f34i34c34,n3a4b34a34d3,c343a4d3b4i34a3,f34c343a74b34e343,434d34c3734b734a34d3,4f3a4a373434a3c7b34a3,4b34e37a34b3434a3a7c3,i37434g3a4c34,b34a34a374c343a43a4a34a343,4f37e34a3a4a34b34a3,343a4347h3434f343,34c37d34a3b4a34a34d3,34b3b4d3a4f34e3,d34d3a43434f3434a3,i3434d3a4a34c3a4,434d34c34n3,c34j3a4j3,b3a4c34j34f3,43a4b3434g34f3434,34b34c3c434e3a4c34,n34f343c4,a34d343a4c34k3,l3434g34c3,b34g34b3a4a3a4e34
29 24 0a1010d1010g1010a1a0,0l1c0101a010b10,0a10a1b0b1a01a0g101a0,0d1010a101d01010c1010,0a10b1010a101b01a01a010b10,a0d1d010b1b0a1a0101a0,a01010c101a01010b1d0a10,0g1b0a10e1c0a1a0,0101a01d0a10a1a01c01a010,a0d1010c101e010101a0,0a1a01b0f10b10d1010,010a1010b101b01b01a010b10,0101a01a0b1c0d1010c10,0b1010b1b0c10d10b1a0,0g10b10b1d010a1b0,0a10b1010a1010l10,0a1010h1c0h10,01c0a1010h1010d10,01b010b10e1010d10a10,0101010a1a0a10a10c1c0a1a0,0l1010d10a10a10,a010b10a1b0a1010i10,0j10b10e1010a10,01010e10101g0c1a0
dataset=shape group=shape3x3_opposite image_width=large image_height=large
SIMONSOLVEV1, O4T, predict image
I0 9 1 g73 O0 9 7 g73,,,,,, I1 17 1 1e3g7a5 O1 17 7 1e3g7a5,,,,,, I2 6 2 b49a5,2b505 O2 6 14 b49a5,,,,,,,2b505,,,,,, I3T 14 1 41a48b242c4 O3T None I4T 7 2 b08a93,3a197a3 O4T None
7 14 b08a93,,,,,,,3a197a3,,,,,,
dataset=solve_scale group=x1_y7up predict=image image_width=medium image_height=medium task_pixels=a
Simon-Solve-Version1 predict image for O2T
I0 9 9 4,,,e4b8,,,8,, O0 27 27 4,,,,,,,,,q4h8,,,q4e8b4,,,4,,,8,,,e8b4e8b4e8b4,,,4,, I1 9 12 e8b4,,,b8b4b8,,,b8e4,,,b4b8b4,, O1 27 48 e4b8e4b8h4,,,b4b8e4b8k4,,,b4e8b4e8h4,,,b8b4e8b4b8h4,,,e4b8n4b8,,,b4b8n4b8b4,,,b4e8k4e8,,,b8b4b8h4b8b4b8,,,e4b8q4,,,b4b8t4,,,b4e8q4,,,b8b4b8q4,,,n4b8h4,,,k4b8k4,,,k4e8h4,,,h4b8b4b8h4,, I2T 12 12 b4b8b4b8,,,b8h4,,,8,,,h4b8,, O2T None
48 48 k4b8b4b8n4b8b4b8b4,,,n4h8n4h8,,,4,,,k4h8n4h8b4,,,b8b4b8z4k4,,,b4h8z4h4,,,4,,,h8z4k4,,,b8b4b8b4b8b4b8b4b8b4b8b4b8b4b8b4,,,b4h8b4h8b4h8b4h8,,,4,,,h8b4h8b4h8b4h8b4,,,z4h4b8b4b8b4,,,z4k4h8,,,4,,,z4h4h8b4,,
dataset=solve_fractal group=pattern_to_fractal predict=image image_width=large image_height=other task_pixels=d
SimonsImageScale, Recognize the transformation between input and output. x5down_y2up,x2up_y1
25 5 d3d7d3d5d3,i3d5d3d7,d8d6i7d3,d2d6n3,d6d2i3d2 5 10 37353,,a3537,,86a73,,26b3,,62a32,
x5down_y2up=1,x2up_y1=0
dataset=scale group=recognize_transformation image_width=large image_height=small scalex=down5 scaley=up2
simonsolvev1 predict image for O2T
I0 6 10 6,,,a61b6,a61a46,a63961,631616,a67176,a61b6,6 O0 6 10 9,,,,,,,,, I1 13 10 03932a392a309,a3a2d30232,2a930b3039a3,30a3a4039a320,a30a39c49a3,02g3b4,d393020323,a030b30a3039,20a30b30c3,a30b32a9a393 O1 13 10 4,,,,,,,,, I2T 12 9 0a392a392390,b3a209b3a2,3a2b30a39a3,c34b390a3,39209402b30,9c3049b39,b3090e3,32302b30303,a30d30a30 O2T None I3T 8 11 7a57b57,d57a5,75b7575,c73757,b753a76,b753735,75757317,575753a7,75a757a5,5b7a575,b7175a7 O3T None
12 9 4,,,,,,,,
dataset=solve_color group=least_popular_color_same predict=image image_width=medium image_height=medium task_pixels=b
Simon-Image-Mass identify places where max mass is 5, connectivity tb2
16 2 b19b16a16c16,9a169i16
16 2 1,
dataset=mass group=max_mass image_width=medium image_height=small connectivity=PixelConnectivity.TB2 max_mass=5
simon-solve-version1 'O4T' predict the image
I0 4 2 6b8,4 O0 4 2 4,a868 I1 2 8 34,45,15,75,,79,43,34 O1 2 8 45,15,75,,79,43,34, I2 8 7 e535,9535a0a5,9a6a0b5,5956a505,59a56b5,b5a0a65,c50506 O2 8 7 35a0a595,6a0b596,56a50a59,a56c59,5a0a6b5,a50506a5,c53b5 I3T 7 7 a8607a8,3a89786,87b876,a8958a7,a898a57,69a5085,a508a78 O3T None I4T 7 6 a20a202,c2020,a2a0a20,2b0a20,c2a02,a2a0a20 O4T None
7 6 a2020a2,a0a20a2,a0a2020,a2a0b2,a0a20a2,0a20b2
dataset=solve_translate group=translate_xminus2yminus1 predict=image image_width=small image_height=small task_pixels=a
SIMON-SOLVE-VERSION1 predict image for O4T
I0 3 3 686,,186 O0 3 15 a61,8,6,186,686,,186,686,,186,686,,6,8,1a6 I1 3 3 a17,,a07 O1 3 15 a10,,7,a07,a17,,a07,a17,,a07,a17,,7,0a1, I2 2 2 90,07 O2 2 10 90,07,,90,07,90,07,90,70,09 I3 4 4 a8a2,,a828,62a8 O3 4 20 b86,b82,b28,a2a8,62a8,a828,a8a2,,62a8,a828,a8a2,,62a8,a828,a8a2,,,8b2,2b8,6b8 I4T 2 2 1,31 O4T None I5T 2 2 36,23 O5T None
2 10 13,1,31,1,31,1,31,1,,31
dataset=solve_symmetry group='create_square_symmetry square vstack(flipa flipy flipy flipy flipb)' predict=image image_width=small image_height=medium task_pixels=a
Simon-Solve-Version1 predict image for O3T
I0 8 8 57253757,a37a5b7,35727a35,a7572353,37235235,a5272757,5a757a35,b3c52 O0 8 8 5,e575,5,,,,,57a5a7a5 I1 5 7 1,,,b131,,a13a1,1 O1 5 7 5b75,,,57b5,,5,5b75 I2 7 5 c78a7,b748a7,a7428a7,74b517,4572b7 O2 7 5 5a7c5,57d5,5,b57b5,d575 I3T 5 3 c14,b194,b191 O3T None
5 3 5a7a5,57b5,
dataset=solve_erosion group=apply_erosion_lr2 predict=image image_width=small image_height=small task_pixels=a
Simon-ARC-Histogram, unique colors
4:1419,5:1410,8:1146,9:877,0:631,3:616,7:575,1:135,2:8 1:403
0,1,2,3,4,5,7,8,9
dataset=histogram_two group=unique_colors histogram_size=d
Simons-Image-Mass max mass 4, connectivity topbottom2
8 7 1a931a91,19359515,353b931,391b393,a9515395,39359b3,3a9a3513
8 7 1,,,,,,
dataset=mass group=max_mass image_width=small image_height=small connectivity=PixelConnectivity.TB2 max_mass=4
SIMONIMAGEMASS identify places where max mass is 7, connectivity toprightbottomleft2
6 17 a201a2,b2162,20a269,b26a2,a90619,096a21,a26921,969b2,2b6a8,927892,217121,0179a2,a23a92,193292,a23020,293b2,2a1b2
6 17 1,,,,,,,,,,,,,,,,
dataset=mass group=max_mass image_width=small image_height=medium connectivity=PixelConnectivity.TRBL2 max_mass=7
Simons-ARC-Image-Symmetry make symmetric hstack(orig 180)
13 25 a7373a7b3b7,c7a3f7,b3b73b7373,3d7a3d7,j747,3b73a73a7047,g7a04a7,73a73a70374a7,b73730b74a7,b73a07374b7,b707a3a74b7,a70d74c7,d73a74c7,b73c74c7,a73c74d7,f74d7,378c74b373,a738734a7a3a7,b73874d73,73a7847373b7,b7378a73c7,d7a37373a7,73d73b737,a73c73d7,3a7b3d737
26 25 a7373a7b3c73d7b3a73,c7a3k73c73a7,b3b73b737373b73d737,3d7a3f73737a3d7,j74d73a7873b7,3b73a73a704c7373748a737,g7a04a73d74783b7,73a73a70374c7a3a743783a7,b73730b74a737b34c7873,b73a07374g74f7,b707a3a74g74c73a7,a70d74g74c73b7,d73a74g74a73d7,b73c74g74d70a7,a73c74g74a7a370b7,f74g74737a03b7,378c74b373a74b70373b7,a738734a7a3c74730a73a737,b73874d73a74a0g7,73a7847373c740a73a73b73,b7378a73d74j7,d7a37373f7a3d73,73d73b737373b73b7b3,a73c73k7a3c7,3a7b3d73c7b3a7373a7
dataset=symmetry group=symmetry image_width=medium image_height=large instruction_sequence='hstack(orig 180)'
simon-image-shape find shape2x2 bit 3
27 23 c767676a7a6c7a67676a767,a7676a767c6c767a6b7a67,b76d7a6a767b676767c6,a7a6a7c6b767676a76a76b7,b676a7a6c7a6e7676767,b7a6c7a6c767a6a7c6a7,b4d76b76f7c6767,b7d4b7b6b767a6c767,g7d467676a7b6a7a6,b7c6e7d4b76b7a6,d767676767a6767d4c7,7d6a76e76a767676b47,a7b676a767b6i7a67,b6a7676a7a676a76a7a6b7a67,a7a6f767c6a7a6e7,c76767a67a67676c7a6c7,76c7c676767676a767b6a7,a6e76a7a676a7a6a76c76,76a767a6f7a6a76767a6a7,a76a7676a767a676a7a67a67a67,67a6e7676e7a67a6a76,a67a6a7c6a76a7d6a7a6a7,a6a76a76a7a67a6e76b7a6
28 24 z01,a10b1d0f1a0a1010b1,a1b0a10b1b01a0b1a010a101,a10b1b010d10a1b0a1b01,a01a010a10c1a010a1a0b10a1,c0b1c0a1b01a0b101a0a1,d0b1b010a101a010b1a0a1,h0a1010b10101b0c1,b1i0a10b101a0b101,b1c01i0a1010d1,b1a01a010101i0a1a01,1c0a1b0101c01g0a1,10b1a01a01b010a10101c0a1,a01d01a010b10a1a0f1,a0101010a10b1a0g1a0a1,a1b0101a0a1a010b1c0d1,10a10a10c1e0a1a01a0b1,0d1a010a1c0a101d0101,0b101b0a1a01e0b1a0101,1a01b0b101a0a1010b1a010a1,0a101010d1010a101a01c01,1a010a1b0a1a0a1b0b1010101,b10c1a010a101e01c01,z01
dataset=shape group=shape2x2 image_width=large image_height=large
simon-cellular-automaton, Identify the transformation. maze_wrap,maze_nowrap,gameoflife_nowrap,cave_wrap
19 18 f5a9i5,59e59a59d595,c595a9g59a5,9b5959c59f5,e59595959a59b5,a59a59a5a9f595,9c59c59d59a5,g59b5a9d5,c5a9b59g59,9c59b59b5a9c5,e5a9j5,9e59a5a9d595,c59c59d5a9a5,595a9b59i5,9c59f5959b5,a59a59e59b59a5,b5a9m5,a59j59b59 19 18 h59h5,d5a9a59e59a5,a95959a595b9c595,b59c5b959a5a9a5,595b9595959c59a5,59a595a9a5a9b5a9a5,59a595c95b9b595,c5b9a5b9d595,e5959595b9c5,c595b959g5,a9b59a5f9c5,d5a95a9d5a9a5,c9595a95a9d595,959a59b59c5b9a5,5c959d595959a5,595a959e5b9b5,5a9a59f5959595,b5a9m5
maze_wrap=0,maze_nowrap=0,gameoflife_nowrap=0,cave_wrap=0
dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=medium image_height=medium
simons-arc-image-scale scalex=down6 scaley=up5
6 3 6,5,0
1 15 6,,,,,5,,,,,0,,,,
dataset=scale group=scale_input image_width=small image_height=small scalex=down6 scaley=up5
Here are 2 images of type SimonsArcRleImagePair, add histograms
10 9 b629d6,7b627c6,76562c67,9b6a8b69,a6a89b675,a79a697b6,6c767b6,6a76d76,d679671 17 9 b595a9b5259a5a9,b59a595a92959595,c5a9a592b59b5,9g52a8d5,b59c829b5a959,b589b5295959595,5a9d52d5959,9e52c59a595,b59b52595959b5
5:100,6:51,9:46,7:22,2:12,8:11,1:1
dataset=image_pair group=add_histograms image_width=medium image_height=small
simons-arc-image-erosion erosion mask LR2
12 16 b97g9,963g96,3763d9a69,6a36d97a9,393c93c9,3a946a9a6969,a394c97b9,91394e93,69a34d979,a96a94a96b9,93b94193979,9696a9416a97,e9491979,b97b949167,a693a964a919,c939796b9
12 16 01b0e10,c0e1a0,d0b1c0,,c0a1b0a10,0,d0a1b010,e0c1a0,e0b1b0,i010,b01g0,0,0c1f0,01b01e0,0,0a1f010
dataset=erosion group=apply_erosion image_width=medium image_height=medium connectivity=lr2
SIMONSOLVEV1, O2T, predict image
I0 2 8 0,40,0,5,0,05,5, O0 2 8 5,,05,0,5,0,40,0 I1 8 7 4,1f4,4,a41d4,1f4,4,41d41 O1 8 7 41d41,4,1f4,a41d4,4,1f4,4 I2T 7 4 5c926,1a6a276,1a7a676,d7a6 O2T None I3T 4 9 3,,,,,,,, O3T None
7 4 d7a6,1a7a676,1a6a276,5c926
dataset=solve_rotate group=flipy predict=image image_width=small image_height=small task_pixels=a
Simon-Solve-V1, O2T, predict image
I0 10 15 7,,,d7a0a67,,d7a6a07,,d7c07,,d7c67,,7,,, O0 16 64 g6c0c6,,,,k6c0,,,,g6g0,,,,6,,,,c0k6,,,,c6c0g6,,,,g0g6,,,,6,,,,,,,,,,,,,,,,,,,,c0c6c0c6,,,,c6c0c6c0,,,,0,,,,6,,, I1 11 12 7,,,c7c6b7,,c7c0b7,,c7a0a6b7,,c7a6a0b7,,7 O1 16 64 6,,,,0,,,,c0c6c0c6,,,,c6c0c6c0,,,,6,,,,,,,,,,,,,,,,,,,,g6g0,,,,g6c0c6,,,,k6c0,,,,6,,,,g0g6,,,,c0k6,,,,c6c0g6,,, I2T 10 14 7,,,,,d7a0a67,,d7a6a07,,7,,,, O2T None I3T 15 15 7,,,,,b7a0c6a0c7,,b7c6c0c7,,b7g6c7,,b7g0c7,,7, O3T None
16 16 g6c0c6,,,,k6c0,,,,c0k6,,,,c6c0g6,,,
dataset=solve_fractal group=pattern_to_fractal predict=image image_width=medium image_height=other task_pixels=d
SIMONARCIMAGEMASS identify places where max mass is 1, connectivity tb2
20 6 4,,,j4f0a4,c4f0h4,4
20 6 0,,,j0f1a0,c0f1h0,
dataset=mass group=max_mass image_width=medium image_height=small connectivity=PixelConnectivity.TB2 max_mass=1
simon-solve-version1, O5T, predict image
I0 4 6 2607,2672,1452,,a252,2 O0 4 5 2607,2672,1452,a252,2 I1 2 4 0,,08, O1 2 2 0,08 I2 4 3 42a8,b82, O2 4 2 42a8,b82 I3 5 6 1,,,,, O3 1 1 1 I4T 2 6 40,,76,,46, O4T None I5T 3 3 5a3,3, O5T None
2 2 53,3
dataset=solve_compress group=compressxy predict=image image_width=small image_height=small task_pixels=a
simon-solve-v1 predict image for O2T
I0 2 10 53,15,53,15,51,35,,51,53,15 O0 2 2 53,15 I1 2 20 35,34,24,23,35,34,24,23,32,42,43,53,,43,42,32,35,34,24,23 O1 2 4 35,34,24,23 I2T 4 10 8b5,8425,8b5,8425,5248,b58,,5248,8b5,8425 O2T None
4 2 8b5,8425
dataset=solve_symmetry group='extract_rect_tile rect vstack(orig orig 180 flipx orig)' predict=image image_width=small image_height=medium task_pixels=a
SIMONSOLVEV1 'O3T' predict the image
I0 7 7 5a4b59,b54a59,514b59,9461a85,94a8a59,48a51a5,a5c95 O0 7 7 54a59a5,4b5951,61a8594,a8a5a94,a51a548,c9b5,4b5954 I1 7 4 6,626a0a6,2a0c6,2e6 O1 7 4 6a0b62,0c620,d626,6 I2T 4 6 a797,b75,7451,0842,18a7,86a7 O2T None I3T 6 1 4b0a6 O3T None
6 1 a0a640
dataset=solve_translate group=translate_xminus2yminus1 predict=image image_width=small image_height=small task_pixels=a
Simons-Histogram, Remove Histogram-B colors from Histogram-A
9:900,8:713,5:395 3:426,2:413
9:900,8:713,5:395
dataset=histogram_two group=a_remove_b_colors histogram_size=d
SIMONIMAGEDILATION dilation mask TRBL2
15 7 a3a454c5454a5,5a83c5a4a54a5,b58a54b54a545,4b5a483a5a45a4,c45c41b454,454a5b4a54c5,5h45b45
15 7 0d1b01a0a10,1c2a01210a201,12120a1a20a2121,a12b1a21a212a1,a12012b12d1,01012b0a20a121,a0a1b0a1a0b10
dataset=dilation group=apply_dilation image_width=medium image_height=small connectivity=trbl2
simon-solve-version1, O4T, predict image
I0 6 5 c101,b10a1,,a10b1,10c1 O0 6 5 5,57a575,a57b5,5757a5,5 I1 4 8 2b7,7270,7a07,70a7,,0b7,7, O1 4 8 5,a575,5,,,57a5,a575,5 I2 5 8 c01,b021,,a0201,02010,,2a010,0 O2 5 8 5,57b5,a57a5,57575,5,,57b5,5 I3 5 6 0a361,1a371,16076,01676,01967,163a6 O3 5 6 5,,,a57a5,b575,5 I4T 6 7 d96,987165,480619,989a69,946a16,769a79,917b9 O4T None I5T 7 6 b10b1,101a241,1b2a14,a102b1,b10261,1601061 O5T None
6 7 5,,,c575,5,,
dataset=solve_erosion group=apply_erosion_tlbr2 predict=image image_width=small image_height=small task_pixels=a
SIMONSOLVEV1, 'O3T', predict the image
I0 6 7 a98989,156898,105b9,1095a9,909858,809a85,9 O0 6 7 4,,c464,4,,, I1 4 5 a090,,a070,0, O1 4 5 4,,,46a4,4 I2 8 4 a97c94,d94a9,9,d9479 O2 8 4 4,4646c4,4c6b4,4 I3T 5 6 91981,2c9,92981,a2a91,9b08,1a9a8 O3T None
5 6 4,a46a4,4,,,
dataset=solve_erosion group=apply_erosion_nearest4 predict=image image_width=small image_height=small task_pixels=a
SIMONSOLVEVERSION1, 'O3T', predict the image
I0 3 7 2,,,,,, O0 18 1 2 I1 1 7 9,,,,,, O1 6 1 9 I2 3 14 2,,,,,,,a86,,,,,, O2 18 2 2,k8e6 I3T 3 14 a75,,,,,,,4a5,,,,,, O3T None I4T 2 7 9,,,,,, O4T None
18 2 k7e5,e4k5
dataset=solve_scale group=x6up_y7down predict=image image_width=medium image_height=medium task_pixels=a
simon-arc-image-mass identify places where max mass is 4, connectivity topleftbottomright2
14 3 g08d0,c0a9a8a3a6a0,c0a8e4a6
14 3 1,,
dataset=mass group=max_mass image_width=medium image_height=small connectivity=PixelConnectivity.TLBR2 max_mass=4
simons-rle-image-pair, histogram b without colors of histogram a
16 3 5,k5a2a5,m5a2 6 1 0b4a6
4:3,6:2,0:1
dataset=image_pair group=b_remove_a_colors image_width=medium image_height=small
SIMONSOLVEV1 predict image for O4T
I0 8 6 42a14121,c1c2,12121b2,4c2453,a241a851,919c12 O0 8 6 a2c1a2,a2121212,534c24,51a241a8,12919b1,2142a141 I1 6 6 535353,a5c3,35c3,a53043,34a303,435a35 O1 6 6 a3a5a3,b35a3,43a530,0a34a3,354353,535353 I2 6 7 202171,20c2,17a929,b2987,b2982,929291,717292 O2 6 7 b20a2,2917a9,87b29,8c29,919292,927172,712021 I3 7 5 40454a5,50d9,b425a4,a542754,45452a5 O3 7 5 a950b9,d425,54a5427,a545452,a540454 I4T 5 8 a43a4,47a40,47b8,47304,97a34,974a3,49043,09403 O4T None I5T 8 3 a37d1,2327a3a1,a2b3193 O5T None
5 8 40474,a8478,0a473,34973,a3974,43490,03094,c43
dataset=solve_translate group=translate_xplus2yminus1 predict=image image_width=small image_height=small task_pixels=a
Simons-ARC-Image-Mass identify places where max mass is 4, connectivity lr2
5 6 6,7c6,a6567,b676,a6767,656a3
5 6 0,1,,,,
dataset=mass group=max_mass image_width=small image_height=small connectivity=PixelConnectivity.LR2 max_mass=4
simons-image-symmetry symmetry hstack(orig flipx)
12 12 j74,e75a7a47,a5d7a48a5,75b7a485757,c7458d7,b75g7,d7575c7,g75757,h75a7,,e7b57a5,g75b7
24 12 j7a4j7,e75a7a4a7a4a75e7,a5d7a48c58a4d7a5,75b7a48575a75758a4b757,c7458i7854c7,b75o75b7,d7575g7575d7,g7575a7575g7,h75c75h7,,e7b57c57b5e7,g75e75g7
dataset=symmetry group=symmetry image_width=medium image_height=medium instruction_sequence='hstack(orig flipx)'
Simons-Image-Scale scalex=up4
3 10 484,a46,286,264,a64,626,4,462,484,686
12 10 c4c8c4,g4c6,c2c8c6,c2c6c4,g6c4,c6c2c6,4,c4c6c2,c4c8c4,c6c8c6
dataset=scale group=scale_input image_width=small image_height=small scalex=up4 scaley=up1
simon-solve-v1 predict image for O4T
I0 10 9 b63d69,e69a63,4c639696,c693b93,b636369a6,c69b643,a6a9c693,c643c6,b6963c6 O0 10 9 9,,a90f9,9,90g9,9,,, I1 10 8 0,59g0,05b90a9a0,a021a9c0,a042e0,a04f0,04g0, O1 10 8 9,,,,f9a09,d9c09,c9d09,9 I2 6 8 0,,a03b0,,a093a0,037a90,a0b30,a03a03 O2 6 8 9,c909,,9,,,, I3 6 5 2a9b2,272a62,2a6b2,627b2,a27b2 O3 6 5 9,,,c909,9 I4T 8 5 c2c5,c5c2,29e2,a29d2,2 O4T None
8 5 9,,d9a09,c9b09,9
dataset=solve_outline group=outline_all8 predict=image image_width=small image_height=small task_pixels=b
SIMONIMAGEMASS identify places where max mass is 4, connectivity tlbr2
2 3 38,83,18
2 3 1,,
dataset=mass group=max_mass image_width=small image_height=small connectivity=PixelConnectivity.TLBR2 max_mass=4
SIMON-SOLVE-V1 'O3T' predict the image
I0 1 8 6,5,,,,,,3 O0 1 8 5,,,,,3,6,5 I1 8 1 43e1 O1 8 1 143d1 I2 1 6 7,,5,7,, O2 1 6 5,7,,,, I3T 6 5 69a5a9,56c9,596969,969569,a95b9 O3T None I4T 5 3 a7b3,83b7,4c7 O4T None
6 5 959696,a96956,b95a9,969a59,956b9
dataset=solve_translate group=translate_xplus1yminus2 predict=image image_width=small image_height=small task_pixels=a
SIMONCELLULARAUTOMATA, Maze wrap=both. steps=1. live=0. dead=6.
21 19 0,06r0,h06j0,0,,,,,g0a6a0a6f0,g0a6j0,0,r060,p06a06,0,b06p0,a0a6c06k0,0a6q0,0a6b06m0,0
21 19 6,,,,,,,,,,,,,,a60q6,60r6,a6a0p6,6,
dataset=cellular_automaton group=maze_wrap ca_step=1 image_width=large image_height=medium
Simons-Cellular-Automata, What transformation happens here. gameoflife_wrap,highlife_wrap,cave_wrap
17 25 b929b29292d9,9a2a9c2g9,a9b2e9a2c9,b9c2d92b92,92b9a2h92,92b9a2b9a2d9,d9a2b9a2d9,d9b29a2e9,c92c92c9a29,b92a9a2h9,b929a2i9,b9292g92a9,l92929,k9b2a9,9,b2m9,2a92l9,9,92n9,2o9,92m92,29b2b92f92,a9b2b92f92,b9292d92d9,b9d2b92d9 17 25 b92e92e9,92e929b2c9,92h9a2c9,2d92c9a2c9,a92c92b92d9,2b92a92a9a2d9,c92k9,c92a9b292d9,c92c9a2e9,b92a9a2h9,a9a29292h9,d9a2f92a9,k92a929,k9b2a9,92j92b9,b2m9,292m9,9,,a2n9,9b2k92,c92i9a2,a2b92i92,f92h9,a9a2b9a2a9a2c9
gameoflife_wrap=1,highlife_wrap=0,cave_wrap=0
dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=medium image_height=large
simon-cellular-automata, Recognize the transformation between input and output. highlife_nowrap,highlife_wrap,gameoflife_nowrap
23 27 5a95a9a5b9a59595d95,9c59a5a9595c9595a95,c9a5c9b5959a59a595,a9b5h9595a95959,c9a5c9b5c9b5959,a9c5c95d9c5a95,595a9a5b9b5d95b95,9a5b9c595c9a595b9,d95c95d9b595a9,c9d59a5b95b9a5a9,c9a59a59a5a95c9a5a9,d595a9a5c95a9595a9,5959a5b9a5b9a5a95a959,a59b5b9595c95a95959,59a59a5b95g95959,59b595b9b59a5c9595,b5a9d5959c5b9a59,5g9a595c9595959,g5959a5d9a5959,a9595a959595e9d5,595959c59a5g9a5,f5959b5h95,9a5a9b5i95b95,5l95a9b59a5,d95c9c595a9a5959,a59c5b95b9a5b959a5,9d5c9d5c9a595 23 27 5d9a5c959b59b595,9c59a5a9595c959a595,a5a9b5b9b5959a59a595,a9b5h9595a959a5,d95c9b5a9595959a5,e5b9a5d9a59c5,595a9a5959b5d95b95,b5b9c59a5b9a595b9,c9a5c95c9c595a9,c9d59a5b9b59b59,9a595a9a59a5a9a5a9c59,d59a59a5c95a959b5,595a9a59c5a9d5a959,a59595b9595b9a59a5959,595a9a5a9a595a95b95959,59b595959b59b5a9a595,b59e5959c5a9b59,5g9a5959c595959,g5959a5c9b5959,a9595a959595e9c59,595959c59a5e95959,a9b5b959b5h95,9a5a9b5b95d9b5a95,a5b95d9c5a9b59a5,95b9a5b9c59d5959,a5959a5a9a5b9a5b959a5,9b59595a9d5c9a595
highlife_nowrap=0,highlife_wrap=0,gameoflife_nowrap=0
dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=large image_height=large
simons-cellular-automaton, Recognize the transformation between input and output. maze_wrap,gameoflife_wrap,cave_nowrap
18 12 j5252c5,f525a2f5,b52c5a25252a525,a5a2b52a52a52c5,a52f5252d5,e5a2d52a525,c52f5252b5,g52f525,52a52b52a52e5,a52f52a5a2b5,c52d52d525,b525a2g52a5 18 12 i52f5,h5252e5,a5a2b52b5a2d5,a5a2c5252a52c5,a5a2a5a2b5b2c5,j5b2c5,f52d5252a5,5,h52g5,b52d5b2e5,b5b2g5a2a5,c5a2k5
maze_wrap=0,gameoflife_wrap=0,cave_nowrap=0
dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=medium image_height=medium
Simon-ARC-Histogram, Histogram-A without colors of Histogram-B
5:1333 4:460,9:447,0:225
5:1333
dataset=histogram_two group=a_remove_b_colors histogram_size=d
simonsolvev1 predict image for 'O3T'
I0 7 5 4,,43a9b4,43d4,4 O0 7 5 0,c0a30,d030,c0a30,0 I1 5 6 b808,2a808,280a8,240a8,92b8,84b8 O1 5 6 0,,,,b030,0 I2 7 7 8,a87c8,a8726a8,a878298,a827a29,b87b8,8 O2 7 7 0,d030,0,,,03d0,0 I3T 8 6 3,e3a7,a3c7a3,a4b3283,a34a28a3,3 O3T None
8 6 0,03e0,0,,,
dataset=solve_erosion group=apply_erosion_nearest4 predict=image image_width=small image_height=small task_pixels=a
Simon-Solve-V1, O2T, predict image
I0 6 2 398b3,b0a83 O0 6 2 b3983,83b08 I1 2 8 93,9,,,20,09,, O1 2 8 93,9,,,20,09,, I2T 8 1 8a1d0 O2T None I3T 1 2 0, O3T None
8 1 a08a1b0
dataset=solve_translate group=translate_xplus2 predict=image image_width=small image_height=small task_pixels=a
simons-arc-image-shape detect shape3x3 bit 6
7 20 9,,,b92b9,,,a92c9,,,,,92d9,,9b2b9,c9a29,9,,,,
7 20 1,,b10b1,1,,a1a0b1,1,,,,1a0c1,1,a1a0b1,1d01,c1a01,1,,,,0
dataset=shape group=shape3x3_center image_width=small image_height=medium
Rotate ccw SIMONSARCIMAGE
3 6 0,,,,,
6 3 0,,
dataset=image_deserialize group=rotate_ccw image_width=small image_height=small
Simon-Solve-Version1 predict image for O3T
I0 10 3 g7a2,a7a2c7a2,a7a9c2a7 O0 5 12 c72,,,,72a72,,,,79a27,,, I1 12 3 a5a0c1a2a4,a4a2c0a2a7,e4a2a0a7 O1 6 12 50a124,,,,42a027,,,,b4207,,, I2 10 4 a7a8a7a0a8,a7a4e5,a0a4a8a7a9,a7a4a0a6a0 O2 5 16 78708,,,,74b5,,,,04879,,,,74060,,, I3T 16 5 c6a9a3a2c6a3,a9a2a5a9a6c9a3,c9a5a9a2a6a3a6,e9c3a9c3,c9a6a2c3a7a3 O3T None I4T 20 4 a2c8c2a5a8c2a5,a1a2c8a4a8g9,a2a1c4a8c2a1a5a2,c2a8c5a8a2a5a1a2 O4T None
8 20 a6932a63,,,,92596a93,,,,a9592636,,,,b9a39a3,,,,a962a373,,,
dataset=solve_scale group=x2down_y4up predict=image image_width=medium image_height=medium task_pixels=a
SIMONARCIMAGEDILATION mask when doing dilation trbl2
14 8 46b4642096a46,42a624a024a924,232640623b2a9,2a4a04626a2a62,420a24a64a65a6,42a6243a652642,2a62b6a242462,42626262623246
14 8 0d1010d1,a1b20b1b2a1,0b21021a21021,a12a1b2c121,021c212a12a1,d1a2a1a2b1,0b12a1212a121,c10a1010b10
dataset=dilation group=apply_dilation image_width=medium image_height=small connectivity=trbl2
simonsolveversion1 'O4T' predict the image
I0 6 6 c363,d63,636363,6b3a6,b3636,b6a36 O0 6 6 c636,d36,363636,3b6a3,b6363,b3a63 I1 6 7 48c4,c8a4,848484,c848,484848,4a8b4,8a4a84 O1 6 7 84c8,c4a8,484848,c484,848484,8a4b8,4a8a48 I2 14 7 h6363a6,a63a636363b63,363e6363a6,c63d63a63,c63a63c636,3b6a363d63,a6b3a6a36a3a6 O2 14 7 h3636a3,a36a363636b36,636e3636a3,c36d36a36,c36a36c363,6b3a636d36,a3b6a3a63a6a3 I3T 2 1 80 O3T None I4T 6 2 9d6,d69 O4T None
6 2 6d9,d96
dataset=solve_color group=swap_colors predict=image image_width=medium image_height=small task_pixels=a
SimonCellularAutomata, Given two images, recognize the transformation. highlife_wrap,serviettes_nowrap,gameoflife_nowrap,maze_wrap,highlife_nowrap
24 16 d2b8f28282a8b2,b2b8f28c2a8c2,2a828a28c28d28d2,2b82b8c28j2,a2c828i2828b2,g28j28282,g28l282,h28l28,a28d28d28f282,8f2a8c28d28b2,a2828n2a8a2,b2a8o28a2,2a8g28h28a2,a8f2828f2a8b2,8f2c8f28c2,f2a828c28282a8b2 24 16 d2a8k2a8b2,a2a8b28h28a28b2,28d28c2a8c2a8c2,f2a8i28c2,28b282a8i2828a2,b2a8a2a8i28c2,g2a8j2b8,g2a8k2a8,g28n2,2828c2a8i28b2,c28n2a8a2,28a28o2a82,c8e28i28a2,828d2a82a8e2a8b2,a8d28b28k2,f2a82a8e2b8b2
highlife_wrap=0,serviettes_nowrap=0,gameoflife_nowrap=1,maze_wrap=0,highlife_nowrap=0
dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=large image_height=medium
simon-arc-image-scale, What transformation happens. x3up_y1,x2up_y1,x2up_y7down
14 28 e53a5b0a5,,,,,,,d5a0a3d5,,,,,,,a5905a0a5a3b5,,,,,,,j53a5,,,,,, 28 4 k5a3c5e0c5,i5c0c3i5,c5a9a0a5c0c5c3e5,u5a3c5
x3up_y1=0,x2up_y1=0,x2up_y7down=1
dataset=scale group=recognize_transformation image_width=medium image_height=large scalex=up2 scaley=down7
SIMONSOLVEV1, 'O4T', predict the image
I0 3 8 a21,,405,4a5,342,3a5,352,2a7 O0 3 8 405,4a5,342,3a5,352,2a7,a21, I1 8 7 2a8a5202,a2525202,a2b8b2,b252a82,28a52828,282825a2,b25b25 O1 8 7 a2b8b2,b252a82,28a52828,282825a2,b25b25,2a8a5202,a2525202 I2 7 8 8b73a7,72a63a2,b72376,8272826,a2726a7,7a2b72,272a787,72a62a7 O2 7 8 b72376,8272826,a2726a7,7a2b72,272a787,72a62a7,8b73a7,72a63a2 I3T 8 5 b36a323,63b9a53,34b5a96,45d36,6d363 O3T None I4T 5 8 515a1,19651,19517,96575,95a75,9c5,65151,5c1 O4T None
5 8 19517,96575,95a75,9c5,65151,5c1,515a1,19651
dataset=solve_translate group=translate_yminus2 predict=image image_width=small image_height=small task_pixels=a
SimonsArcImageMass identify places where max mass is 5, connectivity toprightbottomleft2
9 12 0b340a35,c305a34,45a3430a3,b3534b3,43a034353,30a4d3,5035a0a34,3a5a30b3,305a4a340,a534a5a35,048a30a34,3038d3
9 12 1,,,,,,,,,,,
dataset=mass group=max_mass image_width=small image_height=medium connectivity=PixelConnectivity.TRBL2 max_mass=5
SIMONARCIMAGE transposed
6 15 a06b0,760707,60a7a6,06a057,605606,a05060,5a67a0,170707,61a760,0710a7,671601,606161,a07517,06a010,5a6510
15 6 0760605160a6a05,0606a0671a7a0a6,6070a5607a16706,0a7060b7061505,a06506a06706b1,07676a0707a17a0
dataset=image_deserialize group=flipa image_width=small image_height=medium
SIMON-SOLVE-VERSION1 predict image for 'O2T'
I0 5 13 b4a0,4a2a4,c40,4,a40a4,42420,4,,6a424,6c4,462a4,46b4,4 O0 1 1 6 I1 13 9 6753a67a69656,a593569656a57,593a69a565659,6536b59c56,973c56a5a69,a739b5b6965,5356575965656,5357657d59,536a97a57a6a5 O1 1 1 3 I2T 9 14 a5a0d5,g50,,d50b5,f505,5,g50,a50c505,5,e50a5,5,a0f5,5, O2T None
1 1 0
dataset=solve_color group=least_popular_color_1x1 predict=image image_width=medium image_height=medium task_pixels=a
SIMONIMAGEEROSION erosion mask tb2
20 13 5a6565b6b5b65c6,a65a69b56565a65a656,b565a0a65b65a65656,6a5a068b6a5656b565,b60b5b65b65b6a5,5650b5a6a56a5a65656,56a50h5a6b56,65a6056565a65c65a6,5a650c56a56a5b656,6b505a65e6d5,6565606c5a6a5a6565,5656506b565a65a6b5,a6a5605a6a5a65a6b56
20 13 0,m01a0101,a01j01d0,f0a1b01f0,b01b0a101h0,01b0a1b01c01a010,d01b01a010a1b01,c0a101f01b01,c0a1m0,b01c01b01f0,e0101b01c0101,d01b01a01a0101a0,0
dataset=erosion group=apply_erosion image_width=medium image_height=medium connectivity=tb2
Rotate clock-wise simons-arc-image
1 6 4,9,7,,6,
6 1 a6a794
dataset=image_deserialize group=rotate_cw image_width=small image_height=small
Half rotate Simons-ARC-RLE-Image
7 11 4,49d4,09d4,409c4,4093b4,a409b4,b403a4,b40934,c4034,c4093,d404
7 11 40d4,390c4,430c4,4390b4,a430b4,b490a4,b43904,c4904,d490,d494,4
dataset=image_deserialize group=rotate_180 image_width=small image_height=medium
simonsolvev1, 'O3T', predict the image
I0 2 18 19,14,16,,,86,,89,,19,,,,61,41,91,9,46 O0 14 18 f1f9,f1f4,f1f6,,,f8f6,,f8f9,,f1f9,,,,f6f1,f4f1,f9f1,9,f4f6 I1 2 2 81,07 O1 14 2 f8f1,f0f7 I2 1 10 5,,9,,5,,0,5,8, O2 7 10 5,,9,,5,,0,5,8, I3T 2 16 75,74,73,75,,25,26,24,26,73,74,75,71,31,57,67 O3T None
14 16 f7f5,f7f4,f7f3,f7f5,,f2f5,f2f6,f2f4,f2f6,f7f3,f7f4,f7f5,f7f1,f3f1,f5f7,f6f7
dataset=solve_scale group=x7up_y1 predict=image image_width=medium image_height=medium task_pixels=a
Simon-Solve-V1, 'O5T', predict the image
I0 4 4 a121,1279,1a81,8b1 O0 4 20 8b1,1a81,1279,a121,b18,1a81,9721,12a1,,9721,1a81,b18,19a1,2781,1281,b18,a191,1872,1821,8b1 I1 2 2 9,01 O1 2 10 01,9,10,9,,10,91,90,19,09 I2 4 4 2959,2507,2b7,9207 O2 4 20 9207,2b7,2507,2959,7029,b72,7052,9592,,7052,b72,7029,9b7,5070,9572,b29,b79,0705,2759,9b2 I3 2 2 6,8 O3 2 10 8,6,8,6,,8,68,,86, I4T 4 4 a549,54a9,a596,6959 O4T None I5T 4 4 a845,14a1,1481,98a1 O5T None
4 20 98a1,1481,14a1,a845,a189,1841,a141,54a8,,a141,1841,a189,5b1,4181,8a48,8a19,b15,1814,8a48,9a18
dataset=solve_symmetry group='create_square_symmetry square vstack(flipy 180 flipx ccw flipb)' predict=image image_width=small image_height=medium task_pixels=a
Simon-Solve-Version1 predict image for O4T
I0 4 7 6a06,27a6,,a686,a608,b61,6 O0 4 7 2,,,,,21a2,2a12 I1 7 8 a230423,c40a2,2b43a2,a243272,2424a23,a34a232,a3b242,a243b2 O1 7 8 2,2a1c2,a21c2,2,,,b21b2,d212 I2 8 3 0a3a0a90,4a0b359,40b94a3 O2 8 3 2,c21b2,b21c2 I3T 3 5 a20,a04,040,0, O3T None I4T 5 6 a12a1,c10,a0a10,a1a01,1a270,a2a12 O4T None
5 6 2,2a1a2,2,,,
dataset=solve_erosion group=apply_erosion_lr2 predict=image image_width=small image_height=small task_pixels=a
simonsolveversion1, 'O4T', predict the image
I0 6 1 a9b08 O0 1 6 9,,0,,,8 I1 1 1 4 O1 1 1 4 I2 1 4 3,,0,5 O2 4 1 50a3 I3 4 4 1a83,a013,34a3,a323 O3 4 4 a301,3408,2318,3 I4T 4 5 7,6b7,,76a7, O4T None
5 4 a7a67,a6b7,7,
dataset=solve_rotate group=rotate_cw predict=image image_width=small image_height=small task_pixels=a
SIMONSOLVEVERSION1 predict image for 'O4T'
I0 4 8 0,07a0,47a0,,07a0,,0, O0 4 8 4,,,,,,a404,4 I1 8 5 a610a186,b60a6a1,656181a6,65e6,65161b6 O1 8 5 4,,,e404,4 I2 5 5 3,,c31,3, O2 5 5 4,4b04,4a0a4,4b04,4 I3 6 8 4,,,d42,b4a24,a42b4,b42a4,b4b6 O3 6 8 4,4c04,,4a0b4,40c4,4,40c4,4 I4T 8 3 8,b8a9b1,c89b8 O4T None I5T 7 7 c0707,0707080,b07070,878b07,c0b7,b70b7,0a5b70 O5T None
8 3 4,40e4,4
dataset=solve_erosion group=apply_erosion_nearest4 predict=image image_width=small image_height=small task_pixels=a
what are the shared colors between simonshistogram
2:1538,1:1494,0:1456,7:1422,9:1188,5:1110,6:197,4:176 8:382,3:230
empty
dataset=histogram_two group=intersection histogram_size=d
simon-solve-version1 predict image for O5T
I0 5 2 32b3,312a3 O0 4 2 32a3,3123 I1 2 2 3,2 O1 1 2 3,2 I2 3 6 a69,179,169,,186,8a6 O2 3 5 a69,179,169,186,8a6 I3 4 3 4,a4a9,9b4 O3 3 3 4,a49,9a4 I4T 6 5 c676,,d67,,6 O4T None I5T 4 2 2a62,6 O5T None
3 2 262,6
dataset=solve_compress group=compressxy predict=image image_width=small image_height=small task_pixels=a
Simons-Image-Dilation dilation mask tb2
15 9 41c41d4141,a94a12a49e4,919a4927a1a9494,414a1916a54c1,c4b916454141,a41919a16415414,9a4949a146a4a51,a4a9b4196c95,19d41a46a941
15 9 a10c101b0101,121c212e1,a1b21e2121,b1a20e2121,0a1a202b1a2121,10212010a1d2,2020b1021d2,21210a10212a1a2,c1c0b1a0a1
dataset=dilation group=apply_dilation image_width=medium image_height=small connectivity=tb2
Process SimonsArcRleImage and return the transposed
15 9 6c2a8a2a865a2,a8285828b28278,b282a8c2a762,2a89625828d2,c2a968a29a8a2,528b1a92928b2,526a878259c25,268a7c29a2528,e2826b25a8
9 15 68b2a5a2,2828b262,b2828682,2a8921872,252691872,b82917a2,828569828,282a89b2,e2526,8a282b92,8b29c2,6872a8b2,52728a2a5,276d28,28c25a8
dataset=image_deserialize group=flipa image_width=medium image_height=small
SIMON-SOLVE-VERSION1 predict image for O4T
I0 4 4 0,0507,a570,0570 O0 12 8 0,,b0b5b0b7,,e5b7b0,,b0b5b7b0, I1 2 4 68,45,46,60 O1 6 8 b6b8,,b4b5,,b4b6,,b6b0, I2 2 5 62,,,6, O2 6 10 b6b2,,,,,,6,,, I3 3 5 418,416,196,426,1a4 O3 9 10 b4b1b8,,b4b1b6,,b1b9b6,,b4b2b6,,b1e4, I4T 3 1 a25 O4T None
9 2 e2b5,
dataset=solve_scale group=x3up_y2up predict=image image_width=medium image_height=small task_pixels=a
SimonImageSymmetry apply symmetry vstack(flipy orig)
2 8 2,,32,43,03,43,,24
2 16 24,43,,03,43,32,2,,,,32,43,03,43,,24
dataset=symmetry group=symmetry image_width=small image_height=small instruction_sequence='vstack(flipy orig)'
process SIMONARCRLEIMAGE and return the cw rotated
9 5 36a5a65a9,a65a6a9a6,a65a93a65,d6b56,5b6b5a6
5 9 5b63,6,a6b5,a6965,569a6,a5396,a5695,65a69,a6569
dataset=image_deserialize group=rotate_cw image_width=small image_height=small
SIMONARCIMAGEMASS identify places where max mass is 2, connectivity tb2
5 6 54515,a5125,51525,7a452,b952,5b42
5 6 0b10,,,c10,,
dataset=mass group=max_mass image_width=small image_height=small connectivity=PixelConnectivity.TB2 max_mass=2
simon-solve-v1 predict image for 'O2T'
I0 1 1 7 O0 1 1 7 I1 1 4 9,0,7,0 O1 4 1 9070 I2T 4 2 b38,b58 O2T None
2 4 35,,,8
dataset=solve_rotate group=flipa predict=image image_width=small image_height=small task_pixels=a
Simons-Image-Mass max mass 3, connectivity topleftbottomright2
20 3 c98c9b38a9a3989,8a3a93b92c1938398,a98a9d13a939b393
20 3 1,,
dataset=mass group=max_mass image_width=medium image_height=small connectivity=PixelConnectivity.TLBR2 max_mass=3
simon-solve-v1 predict image for O3T
I0 9 7 2,b2a4c2,c20c2,,b2030b2,b2020b2, O0 9 7 5,59c5a95,,59d595,,,5 I1 8 10 5,1e52,1a8c52,51585652,51594652,54169b6,a5159652,b519652,d59a5, O1 8 10 5,c5a9a5,5,,,,,,59e5,5 I2 6 8 b2a18,8,a271a2,271b2,,2,21c2,2 O2 6 8 5,,,,c595,,b5a95,5 I3T 5 3 c80,b806,b826 O3T None
5 3 5,59b5,5
dataset=solve_outline group=outline_all8 predict=image image_width=small image_height=small task_pixels=a
simon-solve-version1 predict image for O5T
I0 4 1 7b9 O0 4 1 b97 I1 1 9 4,,9,5,,,,,9 O1 1 9 9,5,,,,,9,4, I2 9 9 8,,,,,,,, O2 9 9 8,,,,,,,, I3 9 7 b6c0a6,e61a6,d6a316,d6a4a3,b6a4a1a6,c64c6,6 O3 9 7 6,c64c6,a6a1a4b6,a3a4d6,61a3d6,a61e6,a6c0b6 I4T 7 1 a0a46a0 O4T None I5T 1 2 0,8 O5T None
1 2 8,0
dataset=solve_rotate group=rotate_180 predict=image image_width=small image_height=small task_pixels=a
SimonsImageShape shape3x3histogramdiamond4 number of unique colors
20 18 a1a71b70a17a10b1a7,a70c10701b79a7b1,7070710a70a717970707,707017a17a1b729b71,10a107a1a7071279c7,0c70a71c72719707,a7107a1a717102709710,1c71a0a707120a79a7,c70e7a12b0917,a1071701a7102a70a791,0a7a1710b712b71790,a17071710b72b70b9,70717a017a1027b9717,17c1c710297017a1,10171071709217070171,70e717927a0a10a7,1071a7a1a712a70b171,070171a7171d71a70
20 18 a23i2323c2,2323a23a2a3a2c3232,b2323232a321b313a2,32a3a23a2a3c2a3131,2b323b23232b321a2,b23a2321b242c3a2,3b2c32132e3a2,1b2b3a23124a323232,d2323a1a3243234a2,a32b3e24b232a3,2b3d212a32132a32,b323a232324b2b323,a2f3234a3234a32,d2a3213434a2a3b2,b32323132a423e2,a23d21a434a23c2,2a3f243a2a313a2,212321a21a23a1e2
dataset=shape group=shape3x3_histogram_diamond4 image_width=medium image_height=medium
FlipB SimonsRLEImage
3 13 616,6,,630,a60,650,,630,601,206,201,256,257
13 3 76161d0b6,a5b03a563a61,c2h6
dataset=image_deserialize group=flipb image_width=small image_height=medium
number of unique colors in Simons-Histogram
2:526 0:524,2:250
2
dataset=histogram_two group=number_of_unique_colors histogram_size=d
Simon-ARC-Image-Scale scale-x down by 3, scale-y up by 7
15 3 k4b9,b9b6e9b4,4
5 21 c49,,,,,,,96a94,,,,,,,4,,,,,,
dataset=scale group=scale_input image_width=medium image_height=small scalex=down3 scaley=up7
simonsolvev1 predict image for 'O3T'
I0 10 9 8638a48b3,8b3c4a3,3g93,a3136a4368,8391a34a34,a398a18483,a39b61483,4393b6148,a643636346 O0 9 10 b384a386,a3963a8a4,349a3a413,849a481a6,a49431a63,a49631b6,8393186a3,a391c94,639d36,a8a38a346 I1 9 8 c4d2,e4a24,8g3,849e4,4839d4,4834a9b4,a43b49a4,a43c494 O1 8 9 243d4,a23c49,a23b494,243a49a4,,a4349b4,a439c3,a434a8a4,a4a8c4 I2T 8 7 5e79,57a84a96,65249867,a6a98b4,79684a67,76476567,76567465 O2T None I3T 7 1 0b9465 O3T None
1 7 5,6,4,9,,,0
dataset=solve_rotate group=rotate_ccw predict=image image_width=small image_height=small task_pixels=a
what are the unique colors in SIMONS-ARC-HISTOGRAM
6:305 0:1427,5:1386,1:814,3:796,7:696,4:266,8:191,2:186
0,1,2,3,4,5,6,7,8
dataset=histogram_two group=unique_colors histogram_size=d
SIMONSOLVEVERSION1 'O5T' predict the image
I0 8 3 9a1c49,a64b979,a9b3b9 O0 8 3 a9b3b9,a64b979,9a1c49 I1 3 3 851,9a8,481 O1 3 3 481,9a8,851 I2 3 3 386,861,a21 O2 3 3 a21,861,386 I3 3 1 a02 O3 3 1 a02 I4T 1 7 2,,7,,,, O4T None I5T 7 9 4,,,,,,,, O5T None
7 9 4,,,,,,,,
dataset=solve_rotate group=flipy predict=image image_width=small image_height=small task_pixels=a
SIMONS-HISTOGRAM, remove histogram-a colors from histogram-b
6:1403,8:823,0:693,3:175,7:24,1:8 0:999,7:480,8:116
empty
dataset=histogram_two group=b_remove_a_colors histogram_size=d
SimonCellularAutomaton, Identify the transformation. maze_nowrap,maze_wrap
18 24 0a2b0b2h0,a0a202b0a2f0,a0a20a2a0a2f0,e02e0a2b0,l0b2a0,a02a02f0d2,e2e02b0a2,d2a0a2a0a2c02,d2b020a2d02,b0b2b0a2c0b2,b0b2f0c20,a0a2g0b2020,2j0a2a0a2,j0b2a0a2,e0a2d02a0a2,c0c2d0a2b0,b0d2c0b2b0,j0b2c0,a2c02d02d0,b2a0c2b0e2,0a2a0d2a0e2,a02b0b202a0c20,f02e0c2,c20c2g02 18 24 2b0a2b0a2e02,02a02a0a2a02e0,02a02a0a2a020a2b0,a0c2020a202a02a0,d0a2d02b0a2,a20a202d02d0,e0b2a020b2a0,d0a2a0a2a02a020,d0b2c02a02a0,a2c0202a0c2b0,a02b02a0c2c02,a2a0a2d02e0,0b2f02a0a2a0,2d0a2e0a2a0,2b0a2a02a02a0a2a0,b02c02b02a0b2,g02a02b02a0,g2e02b0,a02a020a2a02a0c2,b0a2c0202e0,b0a2d0a2e0,a20202b020a2d0,e2b02b02c0,c02c02c0b20
maze_nowrap=0,maze_wrap=0
dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=medium image_height=large
Simon-Solve-Version1, O4T, predict image
I0 5 3 5,b535,5 O0 3 3 5,535,5 I1 3 4 7a4,4a7,0a3,4 O1 2 4 74,47,03,4 I2 2 5 08,28,47,04, O2 2 4 08,28,47,04 I3 2 4 74,34,,59 O3 2 3 74,34,59 I4T 5 4 34919,46193,a1793, O4T None I5T 2 5 70,08,,80,8 O5T None
5 3 34919,46193,a1793
dataset=solve_compress group=compressxy predict=image image_width=small image_height=small task_pixels=a
Simon-Solve-Version1 predict image for 'O3T'
I0 5 6 39a49,3b97,43414,93149,a49a7,a4a39 O0 5 6 a4939,a9739,41a43,14a93,9a7a4,a39a4 I1 6 6 1615a1,56a101,a5a154,b1514,51b50,15a1a5 O1 6 6 15b16,a10156,a154a5,1514a1,b5051,a1a515 I2 6 3 a1a684,a1a245,a4a1a4 O2 6 3 a684a1,a245a1,a1c4 I3T 3 3 a06,0a7, O3T None
3 3 6a0,707,
dataset=solve_translate group=translate_xminus2 predict=image image_width=small image_height=small task_pixels=a
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.
Downloads last month
11
Size of downloaded dataset files:
151 MB
Size of the auto-converted Parquet files:
69.7 MB
Number of rows:
299,991