instruction
stringlengths 18
162
| input
stringlengths 4
1.74k
| output
stringlengths 1
4.03k
| benchmark
stringlengths 48
150
|
---|---|---|---|
simonsolvev1 'O2T' predict the image | I0
3 2 8a0,8
O0
3 2 a08,8
I1
2 5 7,,,,
O1
2 5 7,,,,
I2T
5 1 9
O2T
None
I3T
1 1 6
O3T
None | 5 1 9 | dataset=solve_translate group=translate_xminus1yminus2 predict=image image_width=small image_height=small task_pixels=a |
Simon-Solve-V1, O3T, predict image | I0
2 4 81,69,81,69
O0
2 2 81,69
I1
2 4 25,0,25,0
O1
2 2 25,0
I2T
2 4 28,9,28,9
O2T
None
I3T
3 4 9a6,a06,9a6,a06
O3T
None | 3 2 9a6,a06 | dataset=solve_symmetry group='extract_tile hstack(orig orig)' predict=image image_width=small image_height=small task_pixels=a |
what are the shared colors between Simons-Histogram | 5:846
7:1535,3:269 | empty | dataset=histogram_two group=intersection histogram_size=d |
Simon-ARC-Image-Erosion erosion mask with connectivity corner4 | 14 14 6e565a6b5,34a656a56c56,5b85a6a56b56,a523a865b64a5,b6a26a4a54656,6c5656b4565,a5b652a6b4a5,6a56565a64b65,a5b6a524a5a65,6576562546c5,5675a2646b565,b526a56e5,565a6c565656,a56565c65a65 | 14 14 0,,,,,,d01g0,b01i0,c01h0,0,j01a0,0,, | dataset=erosion group=apply_erosion image_width=medium image_height=medium connectivity=corner4 |
simonsolveversion1, 'O3T', predict the image | I0
1 7 9,,4,8,,,
O0
1 7 4,8,,,,9,
I1
7 1 8b4a15
O1
7 1 b4a158
I2
1 1 3
O2
1 1 3
I3T
1 4 2,,,1
O3T
None | 1 4 2,1,2, | dataset=solve_translate group=translate_xminus1yminus2 predict=image image_width=small image_height=small task_pixels=a |
simon-arc-image-symmetry make symmetric vstack(flipx flipy flipy orig) | 20 25 23b23a2b3h2,a23c2a3g23a2,23e2026b23b232,a23232320963e232,23232b30926a23d2,3b2a3a20a263b232a3,a2323a290b363e2,e2930b21f2,323b2920a31a23a2323,b2329a2021b3a2c3,c29320a21a323b2a3,b23923021323a2b3a2,a239a2301a23d2323,c2a3203d23a2a32,a3b2320b232c3b2,2a3b21023a23b2c3,c23120i232,a23212303b2323a23a2,3b21b3a232323a23a2,b2a32a3a2a3e2a3,a23e23a2a3e2,g23c2a323232,a3g2323f2,b2323a23a23b2a3232,b2a3b2a3e23a23 | 20 100 h2b3a23b232,a23g2a3c23a2,23b23b2620e232,23e23690232323a2,d23a26290b323232,a323b236a20a2a3b23,e236b309a2323a2,f21b2039e2,323a23a21a3029b2323,c3a2b3120a2923b2,a3b232a31a20239c2,a2b3a23231203293b2,323d23a2103a293a2,2a3a23d2302a3c2,b2c323b2023b2a3,c3b23a23201b2a32,23i20213c2,a23a2323b23032123a2,a23a232323a2b31b23,a3e2a3a2a32a3b2,e2a3a23e23a2,23232a3c23g2,f2323g2a3,232a3b23a23a2323b2,3a23e2a3b2a3b2,b2a3b2a3e23a23,b2323a23a23b2a3232,a3g2323f2,g23c2a323232,a23e23a2a3e2,b2a32a3a2a3e2a3,3b21b3a232323a23a2,a23212303b2323a23a2,c23120i232,2a3b21023a23b2c3,a3b2320b232c3b2,c2a3203d23a2a32,a239a2301a23d2323,b23923021323a2b3a2,c29320a21a323b2a3,b2329a2021b3a2c3,323b2920a31a23a2323,e2930b21f2,a2323a290b363e2,3b2a3a20a263b232a3,23232b30926a23d2,a23232320963e232,23e2026b23b232,a23c2a3g23a2,23b23a2b3h2,b2a3b2a3e23a23,b2323a23a23b2a3232,a3g2323f2,g23c2a323232,a23e23a2a3e2,b2a32a3a2a3e2a3,3b21b3a232323a23a2,a23212303b2323a23a2,c23120i232,2a3b21023a23b2c3,a3b2320b232c3b2,c2a3203d23a2a32,a239a2301a23d2323,b23923021323a2b3a2,c29320a21a323b2a3,b2329a2021b3a2c3,323b2920a31a23a2323,e2930b21f2,a2323a290b363e2,3b2a3a20a263b232a3,23232b30926a23d2,a23232320963e232,23e2026b23b232,a23c2a3g23a2,23b23a2b3h2,,a23c2a3g23a2,23e2026b23b232,a23232320963e232,23232b30926a23d2,3b2a3a20a263b232a3,a2323a290b363e2,e2930b21f2,323b2920a31a23a2323,b2329a2021b3a2c3,c29320a21a323b2a3,b23923021323a2b3a2,a239a2301a23d2323,c2a3203d23a2a32,a3b2320b232c3b2,2a3b21023a23b2c3,c23120i232,a23212303b2323a23a2,3b21b3a232323a23a2,b2a32a3a2a3e2a3,a23e23a2a3e2,g23c2a323232,a3g2323f2,b2323a23a23b2a3232,b2a3b2a3e23a23 | dataset=symmetry group=symmetry image_width=medium image_height=large instruction_sequence='vstack(flipx flipy flipy orig)' |
Simon-ARC-RLE-Image flip-a | 7 1 2c503 | 1 7 2,5,,,,0,3 | dataset=image_deserialize group=flipa image_width=small image_height=small |
Rotate 180 SIMONARCRLEIMAGE | 9 13 7b37c3,a31d87,3a7e3,131a37b3,31e39,7c31393,a313a1313,a3037b37,309b3171,70a31a3a7,a37907b3,d3a071,737c3a0 | 9 13 a0c3737,17a0d3,b37097a3,a7a31a307,171b3903,7b3730a3,313a131a3,3931c37,9e313,b37a3131,e3a73,7d81a3,c37b37 | dataset=image_deserialize group=rotate_180 image_width=small image_height=medium |
SIMONSOLVEV1 'O4T' predict the image | I0
3 3 863,,8a3
O0
3 12 863,,8a3,863,,8a3,368,,a38,8a3,863,
I1
3 2 a42,7
O1
3 8 a42,7,a42,7,2a4,7,,a42
I2
2 2 9,90
O2
2 8 9,90,9,90,9,09,90,9
I3
2 2 10,0
O3
2 8 10,0,10,0,01,0,,10
I4T
2 3 25,95,09
O4T
None | 2 12 25,95,09,25,95,09,52,59,90,09,95,25 | dataset=solve_symmetry group='create_symmetry vstack(orig orig flipx flipy)' predict=image image_width=small image_height=medium task_pixels=a |
SIMONSOLVEV1, O4T, predict image | I0
1 16 6,,,,2,,,,,,,,,,,
O0
4 4 6,2,,
I1
4 20 7,,,,0,,,,,,,,,,,,,,,
O1
16 5 7,0,,,
I2
5 16 a6959,,,,9a696,,,,a6b9,,,,96959,,,
O2
20 4 g6c9c5c9,c9g6c9c6,g6k9,c9c6c9c5c9
I3T
4 4 0,,,
O3T
None
I4T
1 12 8,,,,,,,,,,,
O4T
None | 4 3 8,, | dataset=solve_scale group=x4up_y4down predict=image image_width=medium image_height=medium task_pixels=a |
SIMON-SOLVE-VERSION1 predict image for 'O5T' | I0
6 6 5,a5a7a5,5c65,b57a5,,5
O0
6 6 8,,,,81c8,8
I1
10 5 7,c73d7,,d73c7,
O1
10 5 8,8a1b8b18,8a1c8a18,,8
I2
5 8 7c9,75b9,7a9a5,9,,,,
O2
5 8 8,,,,8b18,,,8
I3
9 8 7,,,,,,,
O3
9 8 8,8f18,,,,,,8
I4
5 6 34848,3c8,83b8,8,b848,8
O4
5 6 8,,b818,8,81b8,8
I5T
9 9 4,a41e4,3012d4,4761a2b4,a471452a0,a4371a424,b471c4,c471b4,d47b4
O5T
None | 9 9 8,d8b18,f818,8,,,,81d818,8 | dataset=solve_outline group=outline_all8 predict=image image_width=small image_height=small task_pixels=b |
Simons-ARC-Image-Shape unique color count in shape3x3histogramdiamond4 | 9 12 g01,01b0b30,01f0,1e030,0,a03d03,0a3c030,e03a0,d0a3a0,0a30101a0,f030,a3b01b0 | 9 12 12b1a231,b21c23,b2a1b21,12c1212,212c1a2,1b2b121,c2a1212,1a2a1b21,1a2132321,b2313231,b21a2312,b2121a21 | dataset=shape group=shape3x3_histogram_diamond4 image_width=small image_height=medium |
Simon-Solve-V1, 'O5T', predict the image | I0
10 14 4,,,f48a4,d4348a4,c43a4814,c43b814,a403a483a4,a043a48b4,c4a58b4,e45b4,4,,
O0
10 14 1,,,,,,,,,,,,,
I1
11 10 9,91a91e9,9,1e96a91,d9196919,91c9196a9,g96a9,e9a0a91,e94c9,b91c91a9
O1
11 10 4,,,,,,,,,
I2
10 9 9,91d91a9,d91c9,1e96a9,,b91c969,g969,b91a9a0a9,e94a91
O2
10 9 4,,,,,,,,
I3
12 3 76b717a8a17,d7c8a27,b7c8c71
O3
12 3 6,,
I4T
4 10 5b3,b53,3b5,a5a1,,a579,5795,3797,5735,a535
O4T
None
I5T
10 1 b7e81
O5T
None | 10 1 1 | dataset=solve_color group=least_popular_color_same predict=image image_width=medium image_height=medium task_pixels=b |
SimonRLEImagePair, number of colors that the 2 images have in common | 2 10 76,16,71,1,61,14,1,14,,
19 4 2515216a525212651a5,c212512b5615a2a1,a1a5c212a51515615,a525256126562516b5 | 2 | dataset=image_pair group=number_of_intersection_colors image_width=medium image_height=small |
SimonImageSymmetry Symmetry vstack(flipx flipx) | 19 8 b2b92a929a2a9a2a9,b92e9b2a9a292,a9d2929a292a9b2,9a2a9292c9a2a9b2,b92d92b9d29,929b2a9b2929b292,9a29a2a92b92a92929,929a29b29292a9c2 | 19 16 a9a2a9a292a92b9b2,29a2a9b2e92b9,b2a929a2929d2a9,b2a9a2c9292a9a29,9d2b92d92b9,29b2929b2a9b2929,9292a92b92a9a29a29,c2a92929b29a2929,a9a2a9a292a92b9b2,29a2a9b2e92b9,b2a929a2929d2a9,b2a9a2c9292a9a29,9d2b92d92b9,29b2929b2a9b2929,9292a92b92a9a29a29,c2a92929b29a2929 | dataset=symmetry group=symmetry image_width=medium image_height=small instruction_sequence='vstack(flipx flipx)' |
Simon-Image-Shape identify places where shape3x3 contains bit 3 | 1 22 1,,,,,,,,7,,,,,,,,,,,5,2, | 1 22 0,,,,,,,,,,,,,,,,,,,,, | dataset=shape group=shape3x3_center image_width=small image_height=large |
simon-solve-v1, 'O5T', predict the image | I0
4 4 b34,a343,34a3,4b3
O0
2 2 34,43
I1
16 9 a43b434c3a434,4a3a4a34c34a34,34b34f34a3,a434g3a434,4a34g34a34,34j34a3,c3a434g3,c34a34g3,d34i3
O1
4 3 a434,4a34,34a3
I2
9 4 g34,e3434,a34d34,434b3434
O2
3 2 a34,434
I3
16 9 3,,,,d3434d3434,c3c4c3c4,3,3434343434343434,4
O3
4 3 3,3434,4
I4T
9 16 4g3,3a4e3,b4e3,3,b34a34a3,c3a43a4,b3e4,3,4a34a34a3,3a43a43a4,4,3,,,,
O4T
None
I5T
9 16 g34,e34a3,e3434,,a34e3,4g3,434e3,,a34d34,4d34a3,434b3434,,a34d34,4d34a3,434b3434,
O5T
None | 3 4 a34,4a3,434, | dataset=solve_fractal group=fractal_to_pattern predict=image image_width=medium image_height=medium task_pixels=b |
SIMONSOLVEVERSION1 'O4T' predict the image | I0
2 2 12,
O0
6 2 2a1212,
I1
2 4 06,,27,4
O1
6 4 6a0606,,7a2727,4
I2
4 4 6871,67a6,5a63,6
O2
12 4 178a68716871,a67a67b67a6,3a6a5a635a63,6
I3
4 3 2360,6,29a2
O3
12 3 063a23602360,6,a29a29b29a2
I4T
3 4 298,892,298,a78
O4T
None | 9 4 89a298298,29a892892,89a298298,8c78a78 | dataset=solve_symmetry group='create_symmetry hstack(flipx orig orig)' predict=image image_width=medium image_height=small task_pixels=a |
Simon-Image-Mass identify places where max mass is 3, connectivity tb2 | 8 1 a5d24 | 8 1 1 | dataset=mass group=max_mass image_width=small image_height=small connectivity=PixelConnectivity.TB2 max_mass=3 |
SIMONSOLVEVERSION1, 'O4T', predict the image | I0
6 3 a2c8,,
O0
3 1 2a8
I1
4 6 a3a4,,,a4a3,,
O1
2 2 34,43
I2
6 6 3,,,,,
O2
3 2 3,
I3
6 15 3,,,c9a3,,,a3c9,,,a3a4a9,,,a3a4a3,,
O3
3 5 3,a93,3a9,349,343
I4T
20 6 e8c1e7c8,,,e8a0a7i2,,
O4T
None | 10 2 b8a1b7a8,b807d2 | dataset=solve_scale group=x2down_y3down predict=image image_width=medium image_height=medium task_pixels=a |
SimonsArcImageShape find shape3x3 bit 4 | 17 22 c17k1,,b17e1a5d1,b17b1b5f1,b17a152h1,b17l1,a17m1,a17a16j1,a17b1a6h1,g16g1,b17d16f1,b167d16e1,c167c12e1,c1617c12d1,c16717b12d1,e1c7a12c1,h1b72c1,j1a727a1,k1721a7,l172a1,m12a1,1 | 17 22 b1a0j10,,a1a0d1010c10,a1a0a10a10e10,a1a01b0g10,a1a0k10,1a0l10,1a01a0i10,1a0a1010g10,f1a0f10,a1a0c1a0e10,a1b0c1a0d10,b1b0b1a0d10,b1c0b1a0c10,b1d0a1a0c10,d10b101a0b10,g10a1a0b10,i101b010,j1c010,k1b010,l1a010,o10 | dataset=shape group=shape3x3_center image_width=medium image_height=large |
Simon-ARC-Image-Scale, What transformation happens here. x2up_y1,x1_y1 | 20 2 1,d4i1d4
4 4 1,,4a14, | x2up_y1=0,x1_y1=0 | dataset=scale group=recognize_transformation image_width=medium image_height=small scalex=down5 scaley=up2 |
Simons-Image-Symmetry make symmetric hstack(180 flipy orig) | 29 21 4,t43f4,s493f4,r4943f4,q49b43e4,p49c43e4,n4a9d43e4,m49f43e4,l49h43d4,k49i43d4,j4d9f43d4,i492c4e943d4,w43c4,,4,,,,,, | 87 21 4,z4z4x43f4,z4z4w493f4,z4z4v4943f4,z4z4u49b43e4,z4z4t49c43e4,z4z4r4a9d43e4,c43z4t43q49f43e4,c43z4t43p49h43d4,d434e9c429s492c4e943p49i43d4,d43f4d9u4d9f43o4d9f43d4,d43i49w49i43n492c4e943d4,d43h49y49h43z4a43c4,e43f49z449f43z4b43c4,e43d4a9z4b4a9d43z4g4,e43c49z4f49c43z4g4,e43b49z4h49b43z4g4,f4349z4j4943z4h4,f439z4l493z4h4,f43z4n43z4h4,4 | dataset=symmetry group=symmetry image_width=large image_height=large instruction_sequence='hstack(180 flipy orig)' |
SIMON-SOLVE-V1 'O5T' predict the image | I0
4 1 3a02
O0
1 4 2,0,,3
I1
1 6 1,,4,8,9,7
O1
6 1 a14897
I2
6 2 194a37,71b79
O2
2 6 79,37,,47,91,17
I3
2 5 43,45,79,58,12
O3
5 2 35982,a4751
I4T
5 4 03a03,5a3a0,35a30,036a8
O4T
None
I5T
4 8 a0a4,4a04,04a0,7a04,07a0,,a069,4a90
O5T
None | 8 4 a404a090,4d069,a040a709,0407b04 | dataset=solve_rotate group=rotate_ccw predict=image image_width=small image_height=small task_pixels=a |
SIMONSARCIMAGEDILATION mask when doing dilation trbl2 | 13 11 0,f05d0,5g05b0,d05f0,f05a05a0,h0a4a0,c0505a4c0,d0a405c0,h0a5a0,0,a0a5a05e0 | 13 11 g01c0,01d02a01a0,1d02a02b0,d02a02a010,c01a02a0210,d0d12a0,c0202a12b0,b0102a120a10,c0a1010a2a0,b0a1a0b1b0,a0a1a01e0 | dataset=dilation group=apply_dilation image_width=medium image_height=medium connectivity=trbl2 |
Simons-Image-Symmetry Symmetry vstack(orig orig) | 13 9 a9c839c89,c8939a3c8,d839a83b8,a9a8f3a8,d3b898989,a8a9h8,d898b9b8,8989a8989a898,8989a89d89 | 13 18 a9c839c89,c8939a3c8,d839a83b8,a9a8f3a8,d3b898989,a8a9h8,d898b9b8,8989a8989a898,8989a89d89,a9c839c89,c8939a3c8,d839a83b8,a9a8f3a8,d3b898989,a8a9h8,d898b9b8,8989a8989a898,8989a89d89 | dataset=symmetry group=symmetry image_width=medium image_height=small instruction_sequence='vstack(orig orig)' |
simons-image-dilation mask when doing dilation lr2 | 14 14 1,,,d1c28c1,g18d1,b13c18d1,b13b18e1,b13a18f1,b1318g1,,b138h1,b13i1,1, | 14 14 0,,,c0a1a0121b0,f0121c0,a0121a0121c0,a01210121d0,a012a121e0,a01b21f0,,a01a21g0,a0121h0,0, | dataset=dilation group=apply_dilation image_width=medium image_height=medium connectivity=lr2 |
simons-cellular-automata, Recognize the transformation. maze_wrap,serviettes_nowrap,cave_nowrap,gameoflife_nowrap | 17 23 9f39c3a939,9c39b39a3a9393,39a393939a39a3939,3i9c393,3c9a39a39d39,9b3a9a3a9e39,a93a9393a9c3a93,9b3a939a393c93,a93b93b93a9a393,939d3b93a9a39,393c939a3939a39,c93939a3b939a3,3a9393a93a9393b9,d393d9d3,c39a3939f3,c9c3a9f3,939d3b9b39a3,a9a393c9b3c9,93d9393b93a93,b9a3f9b393,a39f39c3a9,a39d3b9c3a9,h39b3a939
17 23 9f3a9b3a939,a9b393b9a3a9393,39a393939a3c939,39a3g9b3a9,3a9c39a39c3a9,9b3b93b9d39,a93a9393b9b3a93,9c3939a393c93,e93b93a9a393,939d3b93d9,393c939a393c9,a9393939a3b939a3,3a9393a939a393b9,b3b9393b9b393,3c93a939f3,c9b3b9f3,939f39a3a9a3,a9a393b9b3d9,93b9d3b93a93,b9a3g9a393,a3a9a39b39b3b9,939d3b9c3a9,h3a9a3a939 | maze_wrap=1,serviettes_nowrap=0,cave_nowrap=0,gameoflife_nowrap=0 | dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=medium image_height=large |
SIMONSARCIMAGEMASS identify places where max mass is 3, connectivity leftright2 | 15 20 397293b9707b9,373727a09739079,a9072c93093a9,79073230b9a090,a930929a3937a97,b30792790a9b0,a93097329b09a7,90a9b029093970,979393a0247a093,d97a924a9079,a939707a94a9073,7c903945290a9,b7a90734523970,979a0a905a320a9,07079b75a92b9,0a39a3a85c830,b2b873597a909,b9d2517a097,97d97a2b137,9790a90a90792a1 | 15 20 1,,d1c0e1,1,,,,,,d0i1,1,1c0i1,1,,,h1c0a1,1,b1d0f1,a1d0g1,1 | dataset=mass group=max_mass image_width=medium image_height=medium connectivity=PixelConnectivity.LR2 max_mass=3 |
Simon-Solve-Version1 predict image for O3T | I0
6 2 0a34a0,d50
O0
5 2 034a0,c50
I1
2 5 50,58,,84,14
O1
2 4 50,58,84,14
I2T
5 6 02070,02b0,02a04,42706,027a0,
O2T
None
I3T
5 2 98b9,85a89
O3T
None | 4 2 98a9,8589 | dataset=solve_compress group=compressxy predict=image image_width=small image_height=small task_pixels=a |
simons-arc-image-shape detect shape3x3 bit 4 | 19 13 b3a2f324d3,35f353514d3,2a32e35134d3,e32b31a3432323,h31b34b353,32e313534e3,f31c34e3,2c3531c34e3,e31a35354e3,35b31j323,c312b32e35a3,b31a3c23a2c353,a31d235h3 | 19 13 a1010e1b0c10,a0e1e0c10,01a0d1d0c10,d1a0a1a01f0,g1a0a1a0a1b0,a0d1e0d10,e1a0b1a0d10,0b1c0b1a0d10,d1a01d0d10,a0a1a0i1b0,b1b0a1a0d1a010,a1a010b1a010b1b0,1a0c1b0g10 | dataset=shape group=shape3x3_center image_width=medium image_height=medium |
Simons-ARC-RLE-Image-Pair, number of colors that the two images have in common | 1 10 0,,6,,,3,,,5,6
19 8 c90c9e090a9,0c90a9a0e9b0,09090c9b090a90a9,a9e09a090e9,e909b0c90b9,09a0909a09a0a9b0a9,a0a90b909a090b909,c90a90a9090e9 | 1 | dataset=image_pair group=number_of_intersection_colors image_width=medium image_height=small |
SIMON-SOLVE-VERSION1 predict image for 'O3T' | I0
10 3 8,f8a78,e87b8
O0
10 3 2,2c3d2,2
I1
7 10 6,b6a8a6,b65780,a65a606,a656076,6560676,650b67,60b6a4,06b4a6,54d6
O1
7 10 2,23d2,2,,,,,,,
I2
3 10 3,,,,,,a30,,3,303
O2
3 10 2,232,,,,2,,,,
I3T
5 6 5,,,,,
O3T
None
I4T
6 10 a50b5,570b5,5a01a5,5050a5,505015,,0a5071,0b501,0b505,c505
O4T
None | 5 6 2,2b32,,,,2 | dataset=solve_outline group=outline_all8 predict=image image_width=small image_height=small task_pixels=a |
simon-solve-version1 'O4T' predict the image | I0
3 4 484,3,230,3a7
O0
3 12 484,3,032,a73,484,3,230,3a7,484,3,230,3a7
I1
4 4 5393,3538,3a83,3
O1
4 12 3935,8353,3a83,3,5393,3538,3a83,3,5393,3538,3a83,3
I2
4 3 a8a6,a6a4,8a67
O2
4 9 a6a8,a4a6,7a68,a8a6,a6a4,8a67,a8a6,a6a4,8a67
I3T
3 4 3a5,a60,4a2,2
O3T
None
I4T
4 3 1380,1a80,0b8
O4T
None | 4 9 0831,0a81,b80,1380,1a80,0b8,1380,1a80,0b8 | dataset=solve_symmetry group='create_symmetry vstack(flipx orig orig)' predict=image image_width=small image_height=medium task_pixels=a |
SIMONIMAGESHAPE shape3x3 histogram diamond4 number of unique colors | 21 4 g8a4a31b313131,2a3a9b49a2c0b3131,b3n4b3,23131324a3b1a3132b3 | 21 4 g2c323a21c2,2a34a32323a4e3b2,21b3a21g32a312,131a23232a32b323a2a1 | dataset=shape group=shape3x3_histogram_diamond4 image_width=large image_height=small |
SIMONSCELLULARAUTOMATON, Given two images, recognize the transformations. highlife_nowrap,gameoflife_nowrap,serviettes_wrap | 27 21 a41b4k14b141414,14a14a14141a4e1a4a14141,14a14b1a41a4c141a41a41a4,1a4e1b4g1414a141,1a414a14g14c141a4a1,a14i14b14b1a41a41,a14141a4a1414141a41a4e1,a1a4a1b4a1b4e1414c1,g141a414g1a4b1,e1a4b1b4e1a4b1a4,4i1a4d1a4c1a41,a4c1b4c14l1,a4e1a4b1a4a1a414a1a4a1,1a41b41414g14d1a4,b41a414a1a414g141414,4h14141a4e1c41,4a1a414a1a4c1a4b1a41a4a1,b1b4b1a4l1b4,b4a1a4a1414b1b41c414a1,a1b4i1d4f1,a4a14b14f1c4a14b14
27 21 b1414a14j1b414a1,a4f141a4f14e1,1414m14b1a41a4,h141a4e1a4c1a4,i14h14e1,a14a1b4d14141a4a1a41a41,1a4a1a414d141d41a4b1,a1a41a414d14c1a41a4b1,f1c4b14d141a4b1,f14d14d1d41a4,a4e14a14f1a4b1a41,f1b4b1a4a14d14141,f14d1a4b1a4c1a41,c1414141d4b1a4f1,a1414a14a141b4f14a141,a14b14d1d4i1,4a14i1b4c14b141,g14a14d1414e14,a41a414a14d14b1b41a414,14a14p1a4a14,b14j14f141a4 | highlife_nowrap=0,gameoflife_nowrap=0,serviettes_wrap=0 | dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=large image_height=large |
SIMONSCELLULARAUTOMATON, Given two images, recognize the transformations. gameoflife_nowrap,highlife_nowrap,highlife_wrap,maze_wrap,maze_nowrap | 17 16 0b4a04a0a4a0a4a0,0a4040a404040b40,40b40g4a04,4a0a4a0b4b0c4,04b0c4a0a40a40,0a4a0404a04e0,e0a404f0,g04g0,a4b0404b0a4a0a4,g4b0a40b4,0a4040c4a0a4a04,0404040a4a0a404a0,a4b04a04a0b4b0,4b0a40b4a0a4a04,b0f4a0d4,a04a0a4b04a04b0
17 16 0b40e40c40,a4a040a404040b40,4040404a0d4a04,4a0a4c04b0c4,a4040c40b40b4,0a4a04040b4d0,e0a404f0,g04g0,a404040a4a0e4,40c404a0b40b4,04a04b0b40a4a04,0404040a40a4a04a0,b4a04a040a40a4a0,a40b4040a4d04,b0a4a0i4,a0a40a40b40a4040 | gameoflife_nowrap=0,highlife_nowrap=0,highlife_wrap=0,maze_wrap=0,maze_nowrap=1 | dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=medium image_height=medium |
SIMON-SOLVE-V1, 'O3T', predict the image | I0
3 3 649,7a6,790
O0
12 9 c6c4c9,,,c7g6,,,c7c9c0,,
I1
3 3 276,2,759
O1
12 9 c2c7c6,,,2,,,c7c5c9,,
I2
3 3 504,0,
O2
12 9 c5c0c4,,,0,,,,,
I3T
3 4 a05,127,2a7,290
O3T
None
I4T
4 3 7308,8a74,81a8
O4T
None | 12 12 g0c5,,,c1c2c7,,,c2g7,,,c2c9c0,, | dataset=solve_scale group=x4up_y3up predict=image image_width=medium image_height=small task_pixels=a |
simonsolveversion1, O4T, predict image | I0
18 18 373c7c373a7a37,,,3g73a7a3a7a3,,,b37c3b73a7a3a7,,,a37a3c73a73767a3,,,7a3737e3a76b5,,,7373a73b7a3a565a9,,
O0
18 6 373c7c373a7a37,3g73a7a3a7a3,b37c3b73a7a3a7,a37a3c73a73767a3,7a3737e3a76b5,7373a73b7a3a565a9
I1
8 15 89780874,,,a9a801a8,,,7a8a9018,,,8f1,,,8c0a84,,
O1
8 5 89780874,a9a801a8,7a8a9018,8f1,8c0a84
I2
20 6 3a131310a2531a0d1,,,10d1a312b5e4,,
O2
20 2 3a131310a2531a0d1,10d1a312b5e4
I3
7 15 d793,,,c7978,,,1279728,,,b82567,,,1a732a7,,
O3
7 5 d793,c7978,1279728,b82567,1a732a7
I4T
18 9 7b5a375a465357353,,,7a3h6c735,,,3a5c30d3a7a53,,
O4T
None
I5T
9 15 c85a878,,,c857b8,,,e80a8,,,b8b7038,,,8,,
O5T
None | 18 3 7b5a375a465357353,7a3h6c735,3a5c30d3a7a53 | dataset=solve_scale group=x1_y3down predict=image image_width=medium image_height=medium task_pixels=c |
Simons-Arc-Image-Pair, Histogram-B without colors of Histogram-a | 10 3 3a5a3c05,54b03a7a3,4c375b3
5 10 c15,151a5,1,5b15,a15a1,,51515,1,5c1,a1b5 | 1:35 | dataset=image_pair group=b_remove_a_colors image_width=small image_height=small |
intersection of colors in SIMONARCHISTOGRAM | 9:1526,6:1472,1:1393,7:1126,5:989,4:563,2:426,0:307
1:935,2:399 | 1,2 | dataset=histogram_two group=intersection histogram_size=d |
simons-image-dilation dilation mask TRBL2 | 3 11 245,145,245,,542,4a2,,429,,4a2,421 | 3 11 0a1,121,,,a10,010,a10,1,121,120,1a0 | dataset=dilation group=apply_dilation image_width=small image_height=medium connectivity=trbl2 |
Simon-Image-Symmetry Symmetry vstack(180 flipy 180 180) | 13 23 1,a5j1,19a5h1,19a1a5f1,a19a1a8e1,b1a8g1,1a819g1,3b19g1,3c19f1,13c19e1,13d19d1,a13c19d1,a17d19c1,a17i1,,,b17h1,,,1,,, | 13 92 1,,,,h17b1,,,i17a1,,,c19d17a1,d19c13a1,d19d131,e19c131,f19c13,g19b13,g191a81,g1a8b1,e1a8a19a1,f1a5a191,h1a591,j1a5,1,,,,,b17h1,,,a17i1,,,a17d19c1,a13c19d1,13d19d1,13c19e1,3c19f1,3b19g1,1a819g1,b1a8g1,a19a1a8e1,19a1a5f1,19a5h1,a5j1,1,,,,,h17b1,,,i17a1,,,c19d17a1,d19c13a1,d19d131,e19c131,f19c13,g19b13,g191a81,g1a8b1,e1a8a19a1,f1a5a191,h1a591,j1a5,1,,,,,h17b1,,,i17a1,,,c19d17a1,d19c13a1,d19d131,e19c131,f19c13,g19b13,g191a81,g1a8b1,e1a8a19a1,f1a5a191,h1a591,j1a5,1 | dataset=symmetry group=symmetry image_width=medium image_height=large instruction_sequence='vstack(180 flipy 180 180)' |
simons-arc-image-erosion mask when doing erosion CORNER4 | 8 16 c75757,7575c7,5a7a5757,b75c7,5b75b7,7a5d7,5a75b75,a7575a67,7b5a767,5b75765,d7564,75b7567,b757476,5c7a06,c74575,b747a57 | 8 16 0,e010,01b01a0,e010,d0a10,0,,,,,,b01c0,0,01e0,b01c0,0 | dataset=erosion group=apply_erosion image_width=small image_height=medium connectivity=corner4 |
Simon-Solve-Version1 'O2T' predict the image | I0
8 3 4,4a61c4,b4a6b4
O0
8 3 0,e050,0
I1
5 8 461a4,a61a4,61b4,41b4,,41a04,1c4,
O1
5 8 0,,,b050,0,,,
I2T
8 4 d4684,6a484684,6b4b84,6b48a46
O2T
None | 8 4 0,a05d0,0, | dataset=solve_erosion group=apply_erosion_corner4 predict=image image_width=small image_height=small task_pixels=a |
Simon-Solve-V1, O3T, predict image | I0
4 6 3,,5,,a3a5,
O0
12 27 3,,,5,,,b3b5b3b5,,,5,,,,,,,,,e3e5,,,5,,,b3h5,,
I1
8 8 a5e3,,e3a5,,e5a3,,a5a3c5,
O1
48 48 n5h3b5h3b5h3,,,k5h3b5h3b5h3b5,,,t5b3h5b3h5b3,,,n5b3h5b3h5b3e5,,,b5h3b5h3b5h3k5,,,h3b5h3b5h3n5,,,h5b3h5b3h5b3k5,,,b5b3h5b3h5b3q5,,,z5k5h3,,,z5h5h3b5,,,z5q5b3,,,z5k5b3e5,,,n5h3w5,,,k5h3z5,,,t5b3w5,,,n5b3z5b5,,
I2T
6 8 a5c3,,a5a3a5,,a5c3,,a3c5,
O2T
None
I3T
6 6 a3a5a3,,c5a3,,,
O3T
None | 27 27 b3b5b3h5b3b5b3,,,e5b3n5b3,,,,,,q5b3b5b3,,,w5b3,,,,,,q5b3b5b3,,,w5b3,,,,, | dataset=solve_fractal group=pattern_to_fractal predict=image image_width=other image_height=other task_pixels=d |
simon-solve-version1 predict image for O4T | I0
7 5 a959a36,a953936,63a9393,a931b9,e93
O0
7 5 7,,,d797,7
I1
7 4 d1a9,b49141,1a74b1,e14
O1
7 4 7,c79a7,,7
I2
7 5 a2712a1,a47a218,8725a18,2a52121,528a212
O2
7 5 7,d797,7,,
I3
6 7 b2a75,8a7a85,1a54a5,18b58,a9a585,a548a5,5
O3
6 7 7,d79,7,a79b7,7,d79,7
I4T
7 6 595a3a9,5a3a595,3c595,5959b5,5a95b9,c5959
O4T
None | 7 6 7,d797,c7979,7,9e7,7 | dataset=solve_erosion group=apply_erosion_tb2 predict=image image_width=small image_height=small task_pixels=a |
SIMON-SOLVE-VERSION1 predict image for 'O3T' | I0
3 1 a73
O0
18 7 k7e3,,,,,,
I1
1 1 6
O1
6 7 6,,,,,,
I2
1 1 7
O2
6 7 7,,,,,,
I3T
1 1 7
O3T
None
I4T
3 2 a68,6a2
O4T
None | 6 7 7,,,,,, | dataset=solve_scale group=x6up_y7up predict=image image_width=medium image_height=small task_pixels=a |
SimonCellularAutomata, Given two images, recognize the transformations. gameoflife_nowrap,serviettes_nowrap,cave_nowrap,highlife_nowrap,serviettes_wrap | 12 26 e5353b5,5,g53b5,5,,,g53b5,g5a3a5,5,,,,,3i53,3b53e53,a5b3f5,5b3g5,a53h5,a5a3c5a3a5,f5a3b5,5,,,,,
12 26 3,,,,,,,,,,,,,5i35,,a3a5g3,,a35h3,3,,,,,,, | gameoflife_nowrap=0,serviettes_nowrap=1,cave_nowrap=0,highlife_nowrap=0,serviettes_wrap=0 | dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=medium image_height=large |
simons-arc-image-mass max mass 6, connectivity lr2 | 17 20 49a49a493a949b43,343a49439a49c49,9493b4a93a949a49,9434294a93b49a49,9b42b9e49a4,a4a92b4a9a4a9b4,9c429493a4a9494,a4a942b439e4,439a423b4b943a4,b4942b4a949a4a9,9b492a9a4949c4,434a942b4949c4,49a4a92a43b9b49,9494392a4a9a494a9,39494a943a43b494,4394b9249b43494,c94949349a4c9,4a949a49e49a4,d494b949a4a94,a434a9g4949 | 17 20 1,,,,,,,,,,,,,,,,,,,e1g0b1 | dataset=mass group=max_mass image_width=medium image_height=medium connectivity=PixelConnectivity.LR2 max_mass=6 |
SIMONSOLVEVERSION1 'O2T' predict the image | I0
1 10 7,,,,,,,,,
O0
3 2 7,
I1
2 10 28,,,,,9,,,,
O1
6 2 b2b8,9
I2T
6 20 1d3,,,,,b31a3,,,,,a3a713,,,,,3a4a83,,,,
O2T
None | 18 4 b1n3,h3b1e3,e3e7b1b3,b3e4e8b3 | dataset=solve_scale group=x3up_y5down predict=image image_width=small image_height=medium task_pixels=a |
process SimonsRLEImage and return the cw rotated | 14 7 b72a675e7,b72a7c69767,97b6d7b67,a3b797b6c7,79a3b6d757,97a63e79a7,a6d7975c7 | 7 14 69739a7,6793b7,76376a7,76376a2,7367676,a769a76,a76a767,9a76765,b76767,5a76767,c7697,79a76a7,a757a67,7 | dataset=image_deserialize group=rotate_cw image_width=medium image_height=small |
SimonImageShape find shape3x3 bit 5 | 20 19 3,,,,,,,,,,,,,,,,,, | 20 19 0r1,,,,,,,,,,,,,,,,,,0 | dataset=shape group=shape3x3_center image_width=medium image_height=medium |
simonsolvev1, O4T, predict image | I0
7 7 828a2a6,828a268,a2b8a6,28286a7,82876a2,2a768a2,b86282
O0
7 7 8,,b86b8,8,,,86d8
I1
7 7 a60b65,0b6095,6a06095,60a6915,b61965,6a19a65,b69a60
O1
7 7 c86a8,a86c8,8,,86d8,8,86d8
I2
7 7 4b0b4,43a0b3,30a4303,34a04a0,343a030,0a40434,c0343
O2
7 7 a86a868,d868,8,,,,8a6c8
I3
7 7 9a8b96,9,c9698,b9a698,d989,96a98a9,9a8a686
O3
7 7 c86a8,8d68,8a6c8,86d8,8b6b8,8,
I4T
7 5 e96,,b9c7,b7c9,b96b9
O4T
None | 7 5 8c6a8,,86a8a68,,86b868 | dataset=solve_erosion group=apply_erosion_lr2 predict=image image_width=small image_height=small task_pixels=a |
simonsolveversion1 predict image for O5T | I0
2 7 25,75,82,,72,28,29
O0
1 1 2
I1
7 9 7a80b8,7e8,b8a780,0b87a8,c8787,e87,0a870a8,780c8,87a8a78
O1
1 1 8
I2
9 14 71a7b1a7,7b1b717,08a170b1,1784c17,a787a4701,a198a7a41,7a1917014,171987b1,7a17917a1,a7b19701,710179a71,17b17917,a1a7b171,d17a17
O2
1 1 1
I3
14 10 0,a09b67f0,0191b0b7c0,a0901a8a07c0,090a8c07c0,09a8d07c0,09a0a8a04d0,e084e0,e040a8c0,d04e1a0
O3
1 1 0
I4T
10 13 64a6c4a6,64c6b46,646a46a4a6,464a6b4a6,64646a4a64,46064d6,6a406a4b6,4640b6b4,b46064a64,4a6a4046a4,646a404646,b4b60a64,64a6b46a4
O4T
None
I5T
13 13 1515a19b15a1,a1c79c1a5,a159a1c9a15,1a595c19195,919c1519a51,15a3a15159a15,9a15a3a159b1,a595a13595a15,595b151a3159,151515e21,b1b5b15a15,91a9a515a19a1,151a5a159a159
O5T
None | 1 1 1 | dataset=solve_color group=most_popular_color_1x1 predict=image image_width=medium image_height=medium task_pixels=b |
Simon-Solve-V1 'O3T' predict the image | I0
5 7 7c2,1b79,78718,89787,876a7,796a5,7b97
O0
5 7 a7b9,27b2,91b7,87871,78978,78767,57965
I1
7 7 5,,,,,b59b8,5a9c5
O1
7 7 a5a9b5,5,,,,,8b59a8
I2
7 7 8e0,0,a0808a0,d018,0a8b01,0808a71,d080
O2
7 7 e08,08d0,0,b08080,8d01,10a8b0,10808a7
I3T
7 2 73a2a34,c3947
O3T
None | 7 2 7c394,473a2a3 | dataset=solve_translate group=translate_xplus1yplus1 predict=image image_width=small image_height=small task_pixels=a |
simonsolvev1, O3T, predict image | I0
5 4 2a824,67282,7c2,
O0
5 3 2a824,67282,7c2
I1
4 5 b86,a868,b86,,a898
O1
3 4 a86,868,a86,898
I2
2 6 81,71,70,,0,1
O2
2 5 81,71,70,0,1
I3T
3 2 5a7,1a9
O3T
None | 2 2 57,19 | dataset=solve_compress group=compressxy predict=image image_width=small image_height=small task_pixels=a |
rotate CW SimonsRLEImage | 22 2 6313a163a13c16b1631,1a316d13b1e0a1 | 2 22 16,3,31,13,61,1,16,13,1,,3,1,,,01,06,01,,,06,13,1 | dataset=image_deserialize group=rotate_cw image_width=large image_height=small |
SIMON-SOLVE-VERSION1 predict image for 'O4T' | I0
16 3 0a1g020101,1c0e6101a0,10c1g010
O0
16 12 0a1g020101,,,,1c0e6101a0,,,,10c1g010,,,
I1
9 3 01701b62,d69a20,0d8610
O1
9 12 01701b62,,,,d69a20,,,,0d8610,,,
I2
12 2 80a8a08a9b8,0
O2
12 8 80a8a08a9b8,,,,0,,,
I3
6 3 a39438,a39439,b34a3
O3
6 12 a39438,,,,a39439,,,,b34a3,,,
I4T
9 2 371a3a8a9,8g1
O4T
None | 9 8 371a3a8a9,,,,8g1,,, | dataset=solve_scale group=x1_y4up predict=image image_width=medium image_height=medium task_pixels=b |
SIMONSIMAGESYMMETRY apply symmetry hstack(180 orig 180 flipx) | 8 16 c17b1,c173a1,b1714a1,,,b174b1,a1714b1,,,17e1,,a7e1,2d7a1,2d1a7,2f1,1 | 32 16 k17m17c1,f12c173h12a137c1,a7d12b1714a1a7d12a1417b1,a1d72b1714c1d72a1417b1,e1a7b1714g1a7a1417b1,e17c174h17c147b1,e17b1714h17c1417a1,b1417c1714e1417d1417a1,,b1417b17h1417g171,b147c17h147h171,a1417b1a7g1417h1a7,a1417b12d7c1417d1d72,a1417b12d1a7a1417b1a7d12,a137c12h137j12,b17n17k1 | dataset=symmetry group=symmetry image_width=small image_height=medium instruction_sequence='hstack(180 orig 180 flipx)' |
SIMON-SOLVE-VERSION1 'O2T' predict the image | I0
5 4 a0a80,,39a36,
O0
10 2 c0c8a0,a3a9c3a6
I1
2 10 64,,,,34,,64,,6,
O1
4 5 a6a4,,a3a4,a6a4,6
I2T
5 16 9,,,,94936,,a9394,,48648,,96464,,561a9,,94a94,
O2T
None | 10 8 9,,a9a4a9a3a6,c9a3a9a4,a4a8a6a4a8,a9a6a4a6a4,a5a6a1c9,a9a4c9a4 | dataset=solve_scale group=x2up_y2down predict=image image_width=small image_height=medium task_pixels=a |
SIMON-SOLVE-VERSION1 predict image for 'O5T' | I0
22 40 1,,,,,a1q9a1,,,,,,,,,,a1a8a9a8e9a8a9a8a1,,a1a9c8g9c8a1,,a1a8a9a8e9a8a9a8a1,,a1q9a1,,a1e9a8a9c8a9a8a1,,a1g9c8a9c8a1,,a1e9a8a9c8a9a8a1,,a1q9a1,,a1a8a9a8e9a8a9a8a1,,a1a9c8g9c8a1,,a1a8a9a8e9a8a9a8a1,,1,,
O0
12 16 8,,,,c9c8c9,,,,c8g9,,,,c9c8c9,,,
I1
41 13 1,,,,d1s9c8c9c8c1,,d1o9a8a9a8a9a8a9a8a9c1,,d1c9c8k9c8g9c1,,d1a8a9a8i9a8a9a8i9c1,,1
O1
16 8 g8g9,,,,c9c8c9c8,,,
I2
23 37 1,,,b1q9a1,,,,,,,,,,b1q8a1,,b1c9a8c9a8c9a8a1,,b1a9c8a9c8a9c8a1,,b1q9a1,,b1k9e8a1,,b1o9a8a1,,b1m9c8a1,,b1q9a1,,b1e9k8a1,,b1i9a8c9a8a1,,b1g9c8a9c8a1,,1,
O2
12 16 8,,,,9,,,,g8c9,,,,c8g9,,,
I3
24 36 1,,,a1q9c1,,,,,,,,,,a1g9c8a9c8c1,,a1g9a8c9a8a9c1,,a1e9k8c1,,a1q9c1,,a1g9c8e9c1,,a1g9a8g9c1,,a1e9e8e9c1,,a1q9c1,,a1a9c8a9c8a9c8c1,,a1a9a8c9a8c9a8a9c1,,a1q8c1,,1
O3
12 16 8,,,,c8g9,,,,c8c9c8,,,,9,,,
I4T
23 35 1,,b1c8a9c8g9a1,,b1c9a8c9a8e9a1,,b1c8a9c8g9a1,,b1a9a8c9a8g9a1,,b1k9c8a9a1,,b1o9a8a1,,b1k9c8a9a1,,b1m9a8a9a1,,b1c8a9c8g9a1,,b1c9a8c9a8e9a1,,b1c8a9c8g9a1,,b1a9a8c9a8g9a1,,b1e9c8g9a1,,b1i9a8e9a1,,b1e9c8g9a1,,b1g9a8g9a1,,1
O4T
None
I5T
37 25 1,,,,,a1z9b9a8b1,,a1z99c8b1,,a1w9e8a9b1,,a1u9a8e9a8b1,,a1s9c8c9c8b1,,a1o9e8a9e8a9b1,,a1e9a8e9a8e9a8g9b1,,a1c9c8c9c8c9c8g9b1,,a1e8a9e8a9e8i9b1,,1,
O5T
None | 16 12 k8c9,,,,g8g9,,,,k9c8,,, | dataset=solve_fractal group=fractal_to_pattern predict=image image_width=other image_height=other task_pixels=e |
simon-image-scale scalex=down5 scaley=up7 | 15 1 3 | 3 7 3,,,,,, | dataset=scale group=scale_input image_width=medium image_height=small scalex=down5 scaley=up7 |
SIMONSOLVEVERSION1, O3T, predict image | I0
16 8 c4c1g4,,,,c4k1,,,
O0
48 12 b4b1t4b1h4b1e4,,,b4h1n4h1b4h1,,,b4b1z4n4,,,b4h1z4h4,,
I1
12 16 4,,,,1,,,,g1c4,,,,c1g4,,,
O1
27 48 4,,,1,,,e1b4e1b4e1b4,,,b1e4b1e4b1e4,,,4,,,,,,,,,,,,,,,q4h1,,,q4e1b4,,,q4b1e4,,,4,,,h4q1,,,h4e1b4e1b4,,,h4b1e4b1e4,,
I2
16 16 g4g1,,,,g1g4,,,,c4c1g4,,,,k1c4,,,
O2
48 48 e4e1e4e1w4,,,e1e4e1z4b4,,,b4b1h4b1z4b4,,,h1b4h1z4,,,z4b4e1e4e1,,,w4e1e4e1e4,,,z4b1h4b1e4,,,w4h1b4h1b4,,,e4e1q4e1e4e1,,,e1q4e1e4e1e4,,,b4b1t4b1h4b1e4,,,h1n4h1b4h1b4,,,z4n4e1,,,z4h4e1e4,,,z4k4b1e4,,,z4h4h1b4,,
I3T
12 12 c4g1,,,,c1g4,,,,c4g1,,,
O3T
None | 27 27 b4e1q4,,,b1w4,,,b4e1q4,,,k4e1b4e1,,,h4b1e4b1e4,,,k4e1b4e1,,,b4e1q4,,,b1w4,,,b4e1q4,, | dataset=solve_fractal group=pattern_to_fractal predict=image image_width=other image_height=other task_pixels=e |
simon-arc-image-erosion erosion mask with connectivity trbl2 | 19 6 j45b45a45,35b46k46,a453e451a5d4,a14a5346c456b541,b4b5a351415a415a4,4145145e46d4 | 19 6 0,a01b0c1d0a1a0,f0101h0,0,01g01g0,0 | dataset=erosion group=apply_erosion image_width=medium image_height=small connectivity=trbl2 |
Simons-ARC-Image-Scale scale-x down by 4 | 16 29 g1c9c1,1,c9c1c9c1,c9c1c6c1,g1c6c1,,,c9c1c6c1,g1c6c1,c9c7c6c9,c1c7c6c1,,,c9c7c6c1,c9c7c6c9,c1c7c6c9,k1c6,,g1c9c6,c1c9c1c6,k9c6,c1c9c1c6,g1c9c6,g9c1c6,c9g1c6,c1g9c6,k1c6,c1c9c1c6,c9g1c6 | 4 29 a191,1,9191,9161,a161,,,9161,a161,9769,1761,,,9761,9769,1769,b16,,a196,1916,b96,1916,a196,a916,9a16,1a96,b16,1916,9a16 | dataset=scale group=scale_input image_width=medium image_height=large scalex=down4 scaley=up1 |
simon-solve-v1, 'O4T', predict the image | I0
4 3 6,6b3,6
O0
2 3 6,63,6
I1
6 2 173b6,a3c6
O1
4 2 1736,a3a6
I2
5 4 27a29,27a49,74a62,46a72
O2
4 4 2729,2749,7462,4672
I3
3 5 6,a62,,a63,a93
O3
2 4 6,62,63,93
I4T
5 2 1c0,4a3a9
O4T
None
I5T
2 6 54,40,47,,,78
O5T
None | 3 2 1a0,439 | dataset=solve_compress group=compressxy predict=image image_width=small image_height=small task_pixels=a |
SimonsCellularAutomaton, game-of-life wrap=none. steps=1. live=2. dead=7. | 6 22 7d2,a27272,27c2,2,,,,,,b27a2,27c2,2a7b2,2,,,7d2,2,27c2,2,a27b2,c272,7b272 | 6 22 a27272,2d7,7,,,,,,,,2d7,,7,,,,2d7,7,,,d72,2a72a7 | dataset=cellular_automaton group=gameoflife_nowrap ca_step=1 image_width=small image_height=large |
SimonsImageMass identify places where max mass is 4, connectivity 4 | 16 3 c5b3065a6a565,5c05631c6959,a6a590f16a5 | 16 3 c0e1a0c1,0f1d0b1,e1f0b1 | dataset=mass group=max_mass image_width=medium image_height=small connectivity=PixelConnectivity.NEAREST4 max_mass=4 |
rotate 180 simons-arc-image | 8 17 5,,,,,,e505,,d50a5,b5150a5,b54a1a5,b540515,b54c5,,5,, | 8 17 5,,,c54b5,,51504b5,a5a14b5,a5051b5,a50d5,50e5,,5,,,,, | dataset=image_deserialize group=rotate_180 image_width=small image_height=medium |
simonsolveversion1 predict image for O3T | I0
3 9 709,,a70,a71,717,727,917,a17,a97
O0
9 3 919e7,9a121a7a0,d710a9
I1
9 5 7,,b7c5a7,7,
O1
5 9 7,,,a75a7,,,,7,
I2
5 5 81a38,401a5,454a8,054a8,a8485
O2
5 5 80a48,8a501,b413,b853,5a858
I3T
5 2 8,a81a8
O3T
None | 2 5 8,,18,8, | dataset=solve_rotate group=rotate_cw predict=image image_width=small image_height=small task_pixels=a |
SIMONCELLULARAUTOMATON, What transformation happens here. cave_wrap,gameoflife_nowrap | 25 13 8,a85u8,8,o85g8,8,c85d85a85j8,d85d85l8,8,,d8a5n85a8,e8a5p8,,a85b8a5p8
25 13 8,,,,,,,,,d8b5p8,8,d85a85o8,e8a5p8 | cave_wrap=0,gameoflife_nowrap=1 | dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=large image_height=medium |
simon-arc-image-pair, histogram b excluding histogram A colors | 11 7 6,c61e6,b61c68a5,b61a6989a6,a61a978c6,6a4678d6,c67e6
14 1 6a20d3a7b6 | 3:5,2:2,0:1 | dataset=image_pair group=b_remove_a_colors image_width=medium image_height=small |
SIMON-SOLVE-VERSION1, O3T, predict image | I0
48 48 e9e7e9e7w9,,,b7b9h7b9e7w9,,,b9b7b9b7b9b7b9b7w9,,,e9b7h9b7z9,,,q9e7w9,,,k9b7b9e7w9,,,n9b7b9b7w9,,,q9b7z9,,,e9e7q9e7k9,,,b7b9e7k9b7b9e7k9,,,b9b7b9b7n9b7b9b7k9,,,e9b7t9b7n9,,,e9e7e9e7q9e7,,,b7b9h7b9e7k9b7b9e7,,,b9b7b9b7b9b7b9b7n9b7b9b7,,,e9b7h9b7t9b7b9,,
O0
4 4 a9a7,79a7,9797,a979
I1
48 48 9,,,e9b7h9b7h9b7h9b7b9,,,7,,,h7b9h7b9h7b9h7b9,,,9,,,e9b7h9b7t9b7b9,,,w7k9k7,,,h7b9h7n9h7b9,,,9,,,,,,,,,,,,,,,z9n9b7b9,,,z9h9k7,,,z9h9h7b9,,
O1
4 4 9,a979,7,b79
I2
48 27 h9b7h9b7h9b7k9,,,,,,z7h7k9,,,h9b7h9b7h9b7k9,,,,,,z7h7k9,,,9,,,,,,,,
O2
4 3 b97,,7
I3T
48 48 9,,,b7b9b7b9b7b9b7b9b7b9b7b9b7b9b7b9,,,b7b9h7b9h7b9h7b9e7,,,e7b9h7b9h7b9h7b9b7,,,9,,,k9b7b9b7n9b7b9b7b9,,,k9b7b9e7k9b7b9e7,,,k9e7b9b7k9e7b9b7,,,9,,,k9b7b9b7z9,,,k9b7b9e7w9,,,k9e7b9b7w9,,,9,,,w9b7b9b7n9,,,w9b7b9e7k9,,,w9e7b9b7k9,,
O3T
None
I4T
48 27 b9e7z9b9e7b9,,,b7b9e7w9b7b9e7,,,b9b7z9e9b7e9,,,n9e7z9,,,k9b7b9e7w9,,,n9b7z9b9,,,b9e7q9e7e9e7b9,,,b7b9e7k9b7b9h7b9e7,,,b9b7t9b7h9b7e9,,
O4T
None | 4 4 9,7979,79a7,a797 | dataset=solve_fractal group=fractal_to_pattern predict=image image_width=other image_height=other task_pixels=other |
SimonsArcImageShape identify places where shape3x3 contains bit 4 | 15 11 32a923a232a32a3,b21a92b32a532,2b313a92a53213,3b21a25a95a212,232a3152a5a9a31,32a30215b23a93,2320a52132323a2,32a52a31f2,35c2a613c23,b3d26e2,2a3b23232a3a23 | 15 11 a01b01b01a010,a1a01a0a1a01b0,0a1b01a01d0,0a1a01a01a01b0,b01c010101a0,a01d0a1a01a0,c01g010,a01a01a0e10,a0b101b0b1a0,a10c1a0d10,010a1d0101a0 | dataset=shape group=shape3x3_center image_width=medium image_height=medium |
SIMONARCIMAGESCALE, Recognize the transformation. x1_y1,x2up_y1,x4up_y1,x3up_y1 | 7 21 a951a52,,,,,,,b057a1,,,,,,,21b7a4,,,,,,
21 3 e9b5b1e5b2,h0b5b7e1,b2b1h7e4 | x1_y1=0,x2up_y1=0,x4up_y1=0,x3up_y1=0 | dataset=scale group=recognize_transformation image_width=small image_height=large scalex=up3 scaley=down7 |
SIMONARCIMAGEEROSION erosion mask with connectivity ALL8 | 8 14 17176b7,676a7a67,6b71a67,b616a76,7c6a76,c676a7,67b67a6,7a676767,e676,76b7676,d6b7,67b6167,7e61,a6a767a6 | 8 14 0,,,,,,,,,,,b01c0,0, | dataset=erosion group=apply_erosion image_width=small image_height=medium connectivity=all8 |
simon-solve-v1, O4T, predict image | I0
10 4 6,,,
O0
10 4 8,8g18,,8
I1
6 9 9b2a9,6a24a9,a24202,210a20,a2a102,9b2a1,9d2,6b262,a29a26
O1
6 9 8,,,,,,a81b8,8,
I2
4 10 6,,64a6,6,4346,34a6,6,,b63,39a6
O2
4 10 8,,,,,,,81a8,8,
I3T
8 7 2,,,20e2,208d2,20e2,
O3T
None
I4T
6 8 96c9,975b9,9795a9,7a9a04,b0a94,c959,,9
O4T
None | 6 8 8,,,,,,8a1b8,8 | dataset=solve_outline group=outline_all8 predict=image image_width=small image_height=small task_pixels=a |
Here are 2 images of type simon-arc-image-pair, add histograms | 20 5 h1a8g19,j1a8d192,1d5f1b8a191,d12h51a821,c1h6a2b5a8
10 3 h41,, | 1:58,4:27,5:17,8:11,6:9,2:5,9:3 | dataset=image_pair group=add_histograms image_width=medium image_height=small |
CCW rotate SIMONARCIMAGE | 7 14 c8158,b81585,85185a8,b8a5a8,8,85d8,b85b8,8,,5b85a8,c85a8,85b858,85d8,c8a58 | 14 7 85k8,5i8585,1b5d8a5a85,8185a85f8,a81j8,a85a85d8a58,h85c8 | dataset=image_deserialize group=rotate_ccw image_width=small image_height=medium |
SIMONSOLVEVERSION1 'O3T' predict the image | I0
14 12 03a01a03103930,a3a031a3036903,e01a031790,b10303a017091,03a0c6367190,c63030317093,13a0e47319,a03a101010c4,03016a01307103,b01031607a013,61036a0a370131,63a0a3a037c0
O0
14 12 9,,,,,,,,,,,
I1
12 3 f7a4a50,e3a2c9,e5858a58
O1
12 3 0,,
I2
3 7 9a0,060,969,0a1,a09,909,8a0
O2
3 7 8,,,,,,
I3T
4 6 b42,,4,,b42,
O3T
None
I4T
14 5 a2c42c42a4,2k42,j4242,j4a24,2c42c42a42
O4T
None | 4 6 2,,,,, | dataset=solve_color group=least_popular_color_same predict=image image_width=medium image_height=medium task_pixels=b |
CW rotate SIMONARCRLEIMAGE | 2 6 73,01,71,,27,23 | 6 2 a2a707,37b13 | dataset=image_deserialize group=rotate_cw image_width=small image_height=small |
SIMONSOLVEVERSION1 'O3T' predict the image | I0
6 4 d54,5,,
O0
6 4 4,4b8a4,4c84,4
I1
3 9 0,,,,,,,6a0,
O1
3 9 4,484,,,,,4,,
I2
9 10 46f4,43a6d4,4342b6a4,423450b4,943a40b4,9b40c4,49405c4,4905d4,a402d4,402e4
O2
9 10 4,,,,f484,,e4a84,,d4b84,4
I3T
10 5 f6b5,a6b1a5b6,01g6,60a6b3b6,a6a1b6b3
O3T
None
I4T
8 5 528d5,52e5,27e5,7f5,5
O4T
None | 10 5 4,,g484,4, | dataset=solve_outline group=outline_all8 predict=image image_width=small image_height=small task_pixels=a |
simonsolvev1 'O5T' predict the image | I0
34 19 8,,,,b8k5e7b5e7c8,,,b8k5b7e5b7b5c8,,,b8k5e7h5c8,,,b8k5b7k5c8,,,8,,
O0
3 2 5a7,575
I1
52 18 8,,,,,b8z5q5b78,,,b8z5h5h7b58,,,b8h5b7h5b7h5b7k58,,,b8h7b5h7b5h7n58,,,8
O1
4 2 b57,b75
I2
35 54 8,,b8b7b5b7h5b7b5b7d8,,,b8b5e7k5e7d8,,,b8e5b7n5b7d8,,,b8b5b7n5b7b5d8,,,b8h5b7b5e7b5b7d8,,,b8k5e7b5e7d8,,,b8n5b7e5b7d8,,,b8k5b7e5b7b5d8,,,b8q5b7b5b7d8,,,b8t5e7d8,,,b8w5b7d8,,,b8t5b7b5d8,,,b8h5b7b5b7h5d8,,,b8k5e7h5d8,,,b8n5b7h5d8,,,b8k5b7k5d8,,,8,,,
O2
3 4 757,5a7,a57,575
I3
18 35 8,,,,,8h5b7d8,,,8e5b7b5d8,,,8h5b7d8,,,8b5b7e5d8,,,8b7h5d8,,,8b5b7e5d8,,,8h5b7d8,,,8e5b7b5d8,,,8h5b7d8,,,8,,
O3
2 3 57,75,57
I4T
19 50 8,c8k7b8,,,c8k5b8,,,c8b7b5b7b5b8,,,,,,c8k5b8,,,,,,,,,,,,c8e7e5b8,,,c8k5b8,,,c8b7h5b8,,,,,,c8e7e5b8,,,c8k5b8,,,c8b7h5b8,,,,,,8
O4T
None
I5T
55 33 8,,c8n5e7e5e7n5b8,,,c8n5b7b5b7b5b7b5b7k5b8,,,c8n5e7e5e7n5b8,,,c8n5e7q5e7b5b8,,,c8n5b7b5b7n5b7b5b7b8,,,c8n5e7q5e7b5b8,,,c8n5e7e5e7n5b8,,,c8n5b7b5b7b5b7b5b7k5b8,,,c8n5e7e5e7n5b8,,,8,,,
O5T
None | 4 3 5a75,5757,5a75 | dataset=solve_fractal group=fractal_to_pattern predict=image image_width=other image_height=other task_pixels=e |
Simon-Image-Dilation mask when doing dilation tb2 | 6 7 0,07a070,7d0,07a070,a07070,4a07a0,a7a070 | 6 7 01a010,12a020,a2a020,121010,a12a10,2a1a20,a10a10 | dataset=dilation group=apply_dilation image_width=small image_height=small connectivity=tb2 |
simons-Arc-Histogram, perform minimum | 6:1536,7:1530,4:1329,0:1196,5:690,1:529,9:279,3:171,8:101
7:1546,2:1411,9:1190,4:1104,8:1071,0:1041,5:595,6:186 | 7:1530,4:1104,0:1041,5:595,9:279,6:186,8:101 | dataset=histogram_two group=min histogram_size=e |
Simon-ARC-Image-Symmetry apply symmetry vstack(flipx orig flipy orig orig) | 1 16 6,,,,5,,,,,7,,,3,,,9 | 1 80 6,,,,5,,,,,7,,,3,,,9,6,,,,5,,,,,7,,,3,,,9,,3,,,7,,,5,,,,,6,,,,,,,,5,,,,,7,,,3,,,9,6,,,,5,,,,,7,,,3,,,9 | dataset=symmetry group=symmetry image_width=small image_height=medium instruction_sequence='vstack(flipx orig flipy orig orig)' |
SimonsImageMass max mass 4, connectivity 8 | 9 3 9,c945b9,e9a59 | 9 3 0,c0a1b0,e0a10 | dataset=mass group=max_mass image_width=small image_height=small connectivity=PixelConnectivity.ALL8 max_mass=4 |
SIMONSOLVEV1, 'O4T', predict the image | I0
2 5 48,4,04,,84
O0
2 4 48,4,04,84
I1
4 2 a8a9,a9a5
O1
2 2 89,95
I2
2 5 91,1,,,91
O2
2 3 91,1,91
I3
6 3 9a3b9,a9c3,b95a9
O3
5 3 9a3a9,a9b3,b959
I4T
5 6 a8b4,a4824,472a4,7c4,4,
O4T
None
I5T
3 6 353,,7a3,373,,a37
O5T
None | 5 5 a8b4,a4824,472a4,7c4,4 | dataset=solve_compress group=compressxy predict=image image_width=small image_height=small task_pixels=a |
simon-arc-image-scale scale-y down by 2 | 27 30 x646,,v6a4a6,,u64c6,,p6a4a64d6,,m6b4a6a4e6,,j6b4c64g6,,g6b4e64h6,,d6b4f6a4i6,,a6b4h64k6,,a4k3l6,,6,,,,,,,,, | 27 15 x646,v6a4a6,u64c6,p6a4a64d6,m6b4a6a4e6,j6b4c64g6,g6b4e64h6,d6b4f6a4i6,a6b4h64k6,a4k3l6,6,,,, | dataset=scale group=scale_input image_width=large image_height=large scalex=down1 scaley=down2 |
simons-arc-image-scale, Identify the transformation. x2up_y1,x1_y1 | 4 25 38a3,,,,,1b9,,,,,3127,,,,,23a7,,,,,8137,,,,
28 5 f3f8m3,f1t9,f3f1f2f7,f2f3m7,f8f1f3f7 | x2up_y1=0,x1_y1=0 | dataset=scale group=recognize_transformation image_width=small image_height=large scalex=up7 scaley=down5 |
simon-solve-version1 'O3T' predict the image | I0
14 9 4,,,,,,,,
O0
2 18 4,,,,,,,,,,,,,,,,,
I1
14 7 f7f0,f4f0,f3f7,,,f3f0,f9f0
O1
2 14 70,,40,,37,,,,,,30,,90,
I2
14 2 f0f9,
O2
2 4 09,,,
I3T
7 6 1,3,,,1,
O3T
None | 1 12 1,,3,,,,,,1,,, | dataset=solve_scale group=x7down_y2up predict=image image_width=medium image_height=medium task_pixels=a |
SIMONARCIMAGESCALE scaley=down2 | 16 2 a01090i7, | 16 1 a01090i7 | dataset=scale group=scale_input image_width=medium image_height=small scalex=up1 scaley=down2 |
Simon-Solve-Version1, O2T, predict image | I0
4 3 0,1010,1919
O0
2 3 0,10,19
I1
4 2 4242,7272
O1
2 2 42,72
I2T
8 2 9b89b8,02850285
O2T
None | 4 2 9b8,0285 | dataset=solve_symmetry group='extract_tile vstack(orig orig)' predict=image image_width=small image_height=small task_pixels=a |
Simon-Solve-Version1, O5T, predict image | I0
8 6 e385,4343a954,34a93a59,b3b593,3a534943,34a3b43
O0
8 6 58e3,45a93434,9a53a943,39b5b3,34943a53,3b4a343
I1
6 8 a1b01,010601,7a0610,b1607,b16a1,a76b0,a16b1,b3b1
O1
6 8 1b0a1,106010,016a07,706b1,a16b1,b06a7,b16a1,b1b3
I2
8 3 86b38a5,7a3b5a2,3b58263
O2
8 3 a58b368,a2b5a37,3628b53
I3
3 5 a90,910,106,a01,091
O3
3 5 0a9,019,601,1a0,190
I4T
5 9 7c8,378a5,53838,57873,873a6,853a8,38585,83583,a3838
O4T
None
I5T
9 3 434b2a92,2b75b08,2a3258b3
O5T
None | 9 3 2a9b2434,8b05b72,b3852a32 | dataset=solve_rotate group=flipx predict=image image_width=small image_height=small task_pixels=a |
SIMONSARCIMAGESCALE scalex=down6 scaley=up6 | 30 1 k3q7 | 5 6 a3b7,,,,, | dataset=scale group=scale_input image_width=large image_height=small scalex=down6 scaley=up6 |
Half rotate SimonsArcRleImage | 4 5 b50,3b5,a2a6,a562,3a53 | 4 5 3a53,26a5,a6a2,b53,0b5 | dataset=image_deserialize group=rotate_180 image_width=small image_height=small |
SimonCellularAutomaton, Identify the transformation. highlife_wrap,gameoflife_nowrap | 12 14 1,,,,,,,,,,,,,
12 14 1,,,,,,,,,,,,, | highlife_wrap=1,gameoflife_nowrap=1 | dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=medium image_height=medium |
simon-solve-version1, 'O2T', predict the image | I0
6 5 a313a1,b1913,b14a9,b4191,a13a14
O0
5 6 13914,a1a91,394a1,b143,3a141,
I1
5 1 c03
O1
1 5 3,0,,,
I2T
1 9 7,,,,,,,,
O2T
None
I3T
9 6 3,c30a303,b30386a5,a3b8a5a3,a385d3,3
O3T
None | 9 1 7 | dataset=solve_rotate group=rotate_ccw predict=image image_width=small image_height=small task_pixels=a |
simons-image-dilation dilation mask with connectivity tlbr2 | 3 15 a84,,,,,842,,,848,,898,8,,, | 3 15 010,0a1,,,1,121,,,,,021,a01,0,, | dataset=dilation group=apply_dilation image_width=small image_height=medium connectivity=tlbr2 |
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
- disableddataset_image.jsonl
- disableddataset_mass.jsonl
dataset_shape.jsonl
dataset_solve_color.jsonl
- disableddataset_solve_rotate.jsonl
- disableddataset_solve_translate.jsonl
- disableddataset_cellular_automaton.jsonl
Verison 34
Enabled all datasets.
Version 35
Regenerated all datasets with new random seeds.
Verison 36
Added dataset dataset_scale.jsonl
.
Disabled some dataset.
Datasets:
dataset_cellular_automaton.jsonl
- disableddataset_histogram.jsonl
- disableddataset_image.jsonl
- disableddataset_mass.jsonl
dataset_scale.jsonl
dataset_shape.jsonl
- disableddataset_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
- addeddataset_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
- disableddataset_image.jsonl
- disableddataset_image_pair.jsonl
- disableddataset_mass.jsonl
- disableddataset_scale.jsonl
dataset_shape.jsonl
dataset_solve_color.jsonl
dataset_solve_rotate.jsonl
dataset_solve_scale.jsonl
- addeddataset_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
- disableddataset_image_pair.jsonl
- disableddataset_mass.jsonl
- disableddataset_scale.jsonl
- disableddataset_shape.jsonl
- disableddataset_solve_color.jsonl
dataset_solve_rotate.jsonl
dataset_solve_scale.jsonl
dataset_solve_symmetry.jsonl
- addeddataset_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
- disableddataset_image_pair.jsonl
- disableddataset_mass.jsonl
- disableddataset_scale.jsonl
- disableddataset_shape.jsonl
- disableddataset_solve_color.jsonl
dataset_solve_compress.jsonl
- addeddataset_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
- addeddataset_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
- addeddataset_erotion.jsonl
dataset_histogram.jsonl
- disableddataset_image.jsonl
- disableddataset_image_pair.jsonl
- disableddataset_mass.jsonl
- disableddataset_scale.jsonl
- disableddataset_shape.jsonl
- disableddataset_solve_color.jsonl
- disableddataset_solve_compress.jsonl
- disableddataset_solve_rotate.jsonl
- disableddataset_solve_scale.jsonl
- disableddataset_solve_symmetry.jsonl
- disableddataset_solve_translate.jsonl
- disableddataset_symmetry.jsonl
- disabled
Version 56
Enabled all datasets.
Datasets:
dataset_cellular_automaton.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
- disableddataset_dilation.jsonl
- disableddataset_erotion.jsonl
- disableddataset_histogram.jsonl
- disableddataset_image.jsonl
- disableddataset_image_pair.jsonl
- disableddataset_mass.jsonl
- disableddataset_scale.jsonl
- disableddataset_shape.jsonl
- disableddataset_solve_color.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
- disableddataset_dilation.jsonl
- disableddataset_erotion.jsonl
- disableddataset_histogram.jsonl
- disableddataset_image.jsonl
- disableddataset_image_pair.jsonl
- disableddataset_mass.jsonl
- disableddataset_scale.jsonl
- disableddataset_shape.jsonl
- disableddataset_solve_color.jsonl
dataset_solve_compress.jsonl
dataset_solve_erosion.jsonl
- addeddataset_solve_fractal.jsonl
- addeddataset_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
- disableddataset_dilation.jsonl
- disableddataset_erotion.jsonl
- disableddataset_histogram.jsonl
- disableddataset_image.jsonl
- disableddataset_image_pair.jsonl
- disableddataset_mass.jsonl
- disableddataset_scale.jsonl
- disableddataset_shape.jsonl
- disableddataset_solve_color.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
- disableddataset_dilation.jsonl
- disableddataset_erotion.jsonl
- disableddataset_histogram.jsonl
- disableddataset_image.jsonl
- disableddataset_image_pair.jsonl
- disableddataset_mass.jsonl
dataset_scale.jsonl
- disableddataset_shape.jsonl
- disableddataset_solve_color.jsonl
- disableddataset_solve_compress.jsonl
- disableddataset_solve_erosion.jsonl
dataset_solve_fractal.jsonl
dataset_solve_rotate.jsonl
- disableddataset_solve_scale.jsonl
- disableddataset_solve_symmetry.jsonl
dataset_solve_translate.jsonl
- disableddataset_symmetry.jsonl
- disabled
Version 64
Added dataset.
Increased the number of rows in the jsonl file from 200k to 300k.
Datasets:
dataset_cellular_automaton.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
- addeddataset_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
- disableddataset_image.jsonl
- disableddataset_image_pair.jsonl
- disableddataset_mass.jsonl
dataset_scale.jsonl
- disableddataset_shape.jsonl
dataset_solve_color.jsonl
- disableddataset_solve_compress.jsonl
- disableddataset_solve_erosion.jsonl
- disableddataset_solve_fractal.jsonl
- disableddataset_solve_outline.jsonl
- disableddataset_solve_rotate.jsonl
- disableddataset_solve_scale.jsonl
- disableddataset_solve_symmetry.jsonl
- disableddataset_solve_translate.jsonl
- disableddataset_symmetry.jsonl
- disabled
Version 67
Disabled some datasets.
Datasets:
dataset_cellular_automaton.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
- enableddataset_solve_compress.jsonl
- enableddataset_solve_erosion.jsonl
- enableddataset_solve_fractal.jsonl
- enableddataset_solve_outline.jsonl
- enableddataset_solve_rotate.jsonl
- enableddataset_solve_scale.jsonl
- enableddataset_solve_symmetry.jsonl
- enableddataset_solve_translate.jsonl
- enableddataset_symmetry.jsonl
Version 68
Enabled all datasets.
Version 69
Different random seed.
Version 70
Different random seed.
Version 71
Different random seed.
- Downloads last month
- 48