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simon-arc-combine-v75

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simon-solve-version1 predict image for O3T
I0 13 14 a867872a878a7,a787a878a78a7,c867862a7a8,a786868678a78,8a787a8258a78,72a8b2857078,8a780385a0a87,7b80835a8a78,7a806735a78a7,8780685e8,a870860a87b8,b8080527c8,a7b06a7a2b8,68068678b787 O0 13 14 3,,,,,,,,,,,,, I1 14 12 4a9b7a9494a94,947c97a49497,94979b7947979,79a747a1794a97,7a4b7a91c94,4b97a94794b9,9797a094747979,4b949a04749a7,c97929a0a949,f7494a049,a74979g0,94a74d7a494 O1 14 12 2,,,,,,,,,,, I2T 12 7 60c60d6,10626061b60,c60b29a60,60a67169c6,1617b69a616,626767d16,26b7b62b6 O2T None I3T 7 6 3636396,a393636,329a132,92a5a63,9a36a53,a6d3 O3T None
7 6 1,,,,,
dataset=solve_color group=least_popular_color_same predict=image image_width=medium image_height=medium task_pixels=b
intersection of colors in simons-Arc-Histogram
1:1541 8:656,5:501
empty
dataset=histogram_two group=intersection histogram_size=d
simon-solve-version1, 'O3T', predict the image
I0 6 8 b6a36,2b7a3,2d3,5a6363,5b3a6,53c6,5a6363,53a636 O0 6 8 1,c151,1,,,,c151,1 I1 8 5 a19b696,6a4a6961,928a4b6,9262a746,1a6810a7 O1 8 5 1,c15151,1,, I2T 5 4 4,8a4a0,8a0a4,84a04 O2T None I3T 4 7 9a24,8914,48a2,a282,9418,a2a1,9a12 O3T None
4 7 1,,15a1,a151,1,,
dataset=solve_erosion group=apply_erosion_tlbr2 predict=image image_width=small image_height=small task_pixels=a
SIMON-SOLVE-VERSION1 'O5T' predict the image
I0 4 3 2b3,37a2,2b3 O0 20 3 2b32b32b32e32,37a237a237a237c273,2b32b32b32e32 I1 3 4 1a3,393,318,1 O1 15 4 c1a31a31c31,31839a39a39a393,39a31831831a813,1a3k1 I2 4 3 9b4,81a9,a969 O2 20 3 a96a9b49b49e49,81a981a981a981c918,9b4a96b96b96a96a9 I3 3 2 212,1a9 O3 15 2 1a921a21a21a212,2121a91a91c91 I4T 2 4 14,80,,81 O4T None I5T 4 3 8b6,79a8,a898 O5T None
20 3 a89a8b68b68e68,79a879a879a879c897,8b6a89b89b89a89a8
dataset=solve_symmetry group='create_rect_symmetry rect hstack(flipy orig orig orig flipx)' predict=image image_width=medium image_height=small task_pixels=a
Simons-ARC-Image-Erosion mask when doing erosion NEAREST4
13 18 81d56c81,84818186a8484,b41a486484a8,47a818a464a84,a87418386c8,a41a78136a8a4,14818718384a8,8148181463b4,48a48181634a8,8481a4a186381,484b81816838,k83,8a681b816a84,b8a6b846148,848a4a6b86a8,1a81848a64614,c84b81a618,e841a8a41
13 18 0,,,,i01a0,0,,,,,,b010101a01a0,e01e0,0,,,0a1i0,0
dataset=erosion group=apply_erosion image_width=medium image_height=medium connectivity=nearest4
Simon-ARC-Image-Dilation dilation mask TLBR2
3 9 121,721,3a7,3a1,327,a27,427,417,a17
3 9 a10,021,1,121,,021,1,121,0a1
dataset=dilation group=apply_dilation image_width=small image_height=small connectivity=tlbr2
SIMONSARCIMAGESHAPE identify places where shape3x3opposite contains bit 0
1 24 4,,,,,,,,,,,,,,,,,,,,,,7,
1 24 0,,,,,,,,,,,,,,,,,,,,,,,
dataset=shape group=shape3x3_opposite image_width=small image_height=large
SIMONSOLVEVERSION1, 'O2T', predict the image
I0 7 2 69a0b4,685c0 O0 7 2 a0685a0,a469a04 I1 2 5 06,36,6,,28 O1 2 5 28,06,36,6, I2T 5 4 a31a5,3a9a5,358a9,36b5 O2T None I3T 4 8 0202,a012,0910,0417,31a0,3103,0170,3172 O3T None
5 4 a5365,a5a31,a53a9,a9358
dataset=solve_translate group=translate_xplus2yplus1 predict=image image_width=small image_height=small task_pixels=a
Simons-ARC-Image-Erosion erosion mask all8
13 7 4,,,,,,
13 7 0,0j10,,,,,0
dataset=erosion group=apply_erosion image_width=medium image_height=small connectivity=all8
Simon-Solve-V1, O4T, predict image
I0 11 6 a5d3c5,51b3e5,5231c03a5,52b51a6b0,52d51a65,52f516 O0 1 1 5 I1 6 5 18c1,4a8b1,b1a89,d18,1 O1 1 1 1 I2 2 12 20,92,2,0,09,02,09,02,0,,, O2 1 1 0 I3 1 11 0,9,0,,,,,,,, O3 1 1 0 I4T 11 14 9,,b91f9,c91e9,96a91d96,d91696a9,e91c9,e91a969,96b9691b9,a96c91b9,e9a61a9,h916,b96d919,g9a61 O4T None
1 1 9
dataset=solve_color group=most_popular_color_1x1 predict=image image_width=medium image_height=medium task_pixels=a
SIMONSARCIMAGE transposed
21 22 e29209a20209a2a08,9282a09a89028f20,2928a2190828029a28a92,a2a8a21b2902929c20,282a89148a290a2a82920,8a28a214c29209a8a09,a208a281a209a28b9b2,8a20b214a2c9202a32,a2892a014b9a28202023,b2909218a29a29a29a20,8a28a9810d2a8a2820,28b20910a29a29290202,a2020a21b2929898a202,929d2128929d2a0,890a29a2129c298a202,280280a21298d2a0a9,b292a0210c20292082,29a28928a2020a20a3020,b2a898b202c308b2,b298a29c3a828b282,a8b2b3d2a9a0c2,0a20202a9a28a29b0b2
22 21 29b2828a28a298d280,a2928e28a29829a282,2828a2028b209a0e2,a2d80a98d2928920,20a28c20920a282b8a2,20a29b20a90a29a0a9230,a9c1820289c2028232,2892a4f1c282939,08028a2a48a02c1a2329,a98d29f20a23a2,2029a2029c28a92a03a2,a28092c92b928b2328,08020929h2038a2,b29b29c2a9c23892,029a208989898b20232a9,9a298a9b282929a2038a0,c2a89a0a2982829302a0,a28a289a2920b20238a20,02929023028c2b0c2,029a2023b2c098a28a2,802a09a23a0a202920c2
dataset=image_deserialize group=flipa image_width=large image_height=large
Simons-ARC-Image-Pair, intersection of colors of the 2 images
8 4 b5b7a5,5979c5,a57b9a5,5d413 7 2 9d39,c1a09
1,3,9
dataset=image_pair group=color_intersection image_width=small image_height=small
SIMONSOLVEVERSION1, 'O3T', predict the image
I0 4 4 2b4,b24,a424,a242 O0 48 48 k4b2h4b2h4b2h4,,,k4h2b4h2b4h2b4,,,q4b2h4b2h4b2b4,,,k4e2b4h2b4h2b4b2,,,z4h4b2h4,,,z4h4h2b4,,,z4n4b2b4,,,z4h4e2b4b2,,,b2h4b2t4b2h4,,,h2b4h2n4h2b4,,,e4b2h4b2t4b2b4,,,e2b4h2b4b2k4e2b4b2,,,w4b2t4,,,w4h2n4,,,z4b4b2n4,,,w4e2b4b2k4,, I1 4 3 a2a4,a4a2,4242 O1 48 27 w4e2e4e2e4,,,z4b4e2e4e2,,,z4b2b4b2b4b2b4b2,,,e2e4e2z4b4,,,e4e2e4e2w4,,,b4b2b4b2b4b2b4b2w4,,,e2q4e2q4,,,e4e2q4e2k4,,,b4b2b4b2n4b2b4b2k4,, I2T 2 4 42,24,2,4 O2T None I3T 2 2 24,42 O3T None
12 12 e4b2b4,,,h4b2,,,b2h4,,,b4b2e4,,
dataset=solve_fractal group=pattern_to_fractal predict=image image_width=other image_height=other task_pixels=d
simon-solve-version1, O2T, predict image
I0 4 11 a393,3,,,a303,,a390,,,,3a40 O0 4 11 4,,,,,,,,,, I1 11 12 a7c3d7,7363f7,e7a36a7,37376737a37,7373763c7,a73b763737,a76737673a7,7b36a76737,7373a73a637,a73a73b767,6,6f73a7 O1 11 12 6,,,,,,,,,,, I2T 12 1 j18 O2T None
12 1 8
dataset=solve_color group=least_popular_color_same predict=image image_width=medium image_height=medium task_pixels=a
Simon-Solve-V1 predict image for O4T
I0 15 2 5, O0 3 2 5, I1 10 3 6,, O1 2 3 6,, I2 15 4 47a47a47a47a484,47a47a47a474954,95495a45a95a474,48a48a48a48a474 O2 3 4 484,954,474, I3 20 2 o683a4,83a483c43a83a4c6 O3 4 2 83a4,6 I4T 10 2 323a2a3262,626a2a6232 O4T None
2 2 62,32
dataset=solve_symmetry group='extract_rect_tile rect hstack(orig flipy 180 flipy flipy)' predict=image image_width=medium image_height=small task_pixels=a
SIMONARCIMAGEEROSION erosion mask with connectivity tb2
9 8 a4a794949,7a4a74745,75a47c4,d647a4,a4a54a754,7459575a4,a47545747,a74a5c4
9 8 0,d01010,,g01,,01f0,f010,0
dataset=erosion group=apply_erosion image_width=small image_height=small connectivity=tb2
Process Simons-ARC-RLE-Image and return the flipb
22 17 39a69639b39b39d39,l3b93a63a6,9a3a939a39636c9a6b3,36a3963a6a939a3a9a6396,69a6b36a96a9396396a96,6939636939393630a6c3,3a9a3a9363936396063a93,63a63939a39a3a6360a6a3,6b9a3969e3a90c9,39369c36f3603a9,93696939696a393b93063,969a3a9a36b969a6a9a36,b69a3939c39639a63a9,b96a3a96a3639b369636,96b3936396939b36b39,a96c3a6b9b36a93b9,a39a36d93a93b6b39
17 22 b96963a9b3a6369,39a3936a9393a9363,3936a30396939c3,b39693096a3c63,69b6a96a0a69b63,69a3969396063a9a3,a6b369393606c9,c369b369393a93,93b969a3636a3a93,9c39c363a96a3,3a9639d3a9b39,a96a396a3a93696a3,b9a3696b3c9a3,96369363936396b3,9a69a3936939a6a39,9a3b9a39396a39a3,639a3a9a3a9a36a36,e369b363a939,b369396963963936,9639696396936b36,3969a63a93b96a39,3b96a93a63a639a3
dataset=image_deserialize group=flipb image_width=large image_height=medium
Simon-Solve-V1, 'O6T', predict the image
I0 4 4 80a8,90a8,08a1,0b1 O0 8 4 a1b89a0,a1a8a081,18a0a8a1,a09b8a1 I1 2 2 08,04 O1 4 2 48a0,a084 I2 2 2 0,35 O2 4 2 5a03,3a05 I3 2 2 0,05 O3 4 2 5b0,b05 I4 2 2 2,0 O4 4 2 0a20, I5T 4 4 68a6,0646,04a6,4b6 O5T None I6T 4 4 6,,67a6,7a67 O6T None
8 4 7e67,e676,67e6,7e67
dataset=solve_symmetry group='create_square_symmetry square hstack(flipb flipa)' predict=image image_width=small image_height=small task_pixels=a
SIMON-SOLVE-V1, 'O4T', predict the image
I0 5 5 01a01,03023,1a021,10312,213a1 O0 5 5 1a010,32030,12a01,21301,a1312 I1 5 8 b363,,a36a3,3,636a3,36b3,,3 O1 5 8 36b3,,a36a3,3,a3636,b363,,3 I2 8 8 a082a070,8a029870,08028908,b02a093,07087803,83787808,0807a080,8d080 O2 8 8 07a028a0,07892a08,80982080,39a02b0,30878070,80878738,08a07080,08d08 I3 8 2 a2a7b56,c4a062 O3 8 2 6b5a7a2,26a0c4 I4T 2 5 59,52,58,51,59 O4T None I5T 5 5 09a19,91914,0a191,09a40,10a10 O5T None
2 5 95,25,85,15,95
dataset=solve_rotate group=flipx predict=image image_width=small image_height=small task_pixels=a
simons-image-dilation dilation mask with connectivity tb2
11 15 c07b07a0,0,4d0705a0,747c03057,041b03a0a1,a041a0b170,b04a1a07a0,a0a13b07a0,b0341b070,b0304d0,a03a04d0,b0a804c0,a07a0804b0,07c0a87a0,7f08a0
11 15 c01b01a0,1b010102a0,2a1b0212a1,212b0a21a2,a121a0a21a2,01a2a1c21,a0c2c10,a0c2a0a10,a0a1a2a0120,a0c1b010,a0a2b1c0,a0d21b0,012a1b21a0,121a01b2a0,a1c0b1a0
dataset=dilation group=apply_dilation image_width=medium image_height=medium connectivity=tb2
SIMONIMAGESYMMETRY make symmetric hstack(flipy flipy)
4 6 5,a735,5a35,a3a7,,3575
8 6 35753575,a3a7a3a7,,5a3a5a35,a735a735,5
dataset=symmetry group=symmetry image_width=small image_height=small instruction_sequence='hstack(flipy flipy)'
simons-cellular-automata, Identify the transformation. gameoflife_wrap,gameoflife_nowrap,cave_wrap,maze_nowrap
17 17 9797a9b79a7a9b7,a79797a97a97d9,a7a9d7979c79,b9a7a9c7979797,9a797b97a9b79a7,9797a979a7a97a9a7,979a797979a79a797,97a9b79797979797,9a7979a797b9a797,7979a7979c7a979,97a9c7e9797,97979c79b7b97,97a9a797a9797c9,97979797c97c9,79a797c9797c9,a97c9a7b9797a9,h97a9a7b9 17 17 979a79b79a79c7,a79797a97a97d9,a7a9d7979c79,b9a7a9c7979797,9a79a7a97a9b79a7,9797a979a7a97a9a7,979a797979a79a797,97a97979797979797,9a7979a797b9a797,79797a979c7a979,97a97a97d9a797,9797b9f79a7,979b7979a79a7b9,a7979797c9a7b9,79a7979a7b97c9,9b7b9b7a9797a9,a97b97a9a79a7b9
gameoflife_wrap=0,gameoflife_nowrap=0,cave_wrap=0,maze_nowrap=0
dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=medium image_height=medium
simon-image-shape find shape3x3 bit 3
1 18 4,,,,,,5,4,5,4,,5,4,,,5,,4
1 18 0,,,,,,,,,,,,,,,,,
dataset=shape group=shape3x3_center image_width=small image_height=medium
Simons-ARC-Image-Mass max mass 2, connectivity corner4
8 1 a6e1
8 1 1
dataset=mass group=max_mass image_width=small image_height=small connectivity=PixelConnectivity.CORNER4 max_mass=2
SimonsArcImageMass max mass 6, connectivity lr2
15 10 0,,,,,d074g0,d0a75a4d0,d05b7e0,e07a07d0,e07g0
15 10 0,,,,,f1g0,1,,,f1g0
dataset=mass group=max_mass image_width=medium image_height=small connectivity=PixelConnectivity.LR2 max_mass=6
Simon-Solve-Version1 predict image for O4T
I0 6 3 6c96,69a896,a8a9a8 O0 3 3 6a9,698,a89 I1 8 4 4,4a1a4a14,4e54,a5c4a5 O1 4 4 4,4a14,4b5,a5a4 I2 4 2 7a27,6 O2 2 2 72,6 I3 8 4 b0a2b0,a02a02a0,0e50,05c050 O3 4 4 b02,a020,0b5,05a0 I4T 6 3 0c70,79a097,a9a0a9 O4T None
3 3 0a7,790,a90
dataset=solve_symmetry group='extract_square_tile square hstack(orig flipx)' predict=image image_width=small image_height=small task_pixels=a
Simon-Solve-Version1 predict image for 'O4T'
I0 3 1 a63 O0 3 1 3a6 I1 1 7 5,,,4,,3,8 O1 1 7 8,5,,,4,,3 I2 7 6 c1a61,b61b6,b1c6,a6b8a1,618c6,c6b1 O2 7 6 1c6a1,d1a6,c61a6,6b1b6,1a6b81,a618b6 I3 6 4 7b407,a71b7,b7a17,d71 O3 6 4 1d7,a7b40,b71a7,c7a1 I4T 4 5 1a30,1720,1210,12a1,2b1 O4T None
4 5 12a1,01a3,0172,0121,a121
dataset=solve_translate group=translate_xplus1yplus1 predict=image image_width=small image_height=small task_pixels=a
Simon-Solve-V1 predict image for O4T
I0 9 10 b79a79a7,d79a79,e7b9,7979a7979,79b7a9a7,9a7979b7,7a179c7,c9b797,7f97,a9e79 O0 9 10 9,95f9,9,,,,,,, I1 10 7 3a868a3b8,38a46a3b8,b836a9b8,c8a64983,83a8606a83,b860b838,a86a83c8 O1 10 7 9,g959,9,,,, I2 7 9 3b0a90,3e0,,,,,,0, O2 7 9 9,a95c9,a9c59,,,,,,9 I3 5 7 0,,,,,, O3 5 7 9,9b59,,,,,9 I4T 10 9 2a32323b2,g325,a2g3,b32b3523,c3b25a2,2b323c2,232a32a3a2,a352b3232,32c32323 O4T None
10 9 9,,d95c9,9,,,,,
dataset=solve_outline group=outline_all8 predict=image image_width=small image_height=small task_pixels=b
simon-solve-version1 'O5T' predict the image
I0 15 4 1471472b147147,84284b27842842,a27a2784b27a27,2a12b1472a12a1 O0 3 4 147,842,a27,2a1 I1 20 4 158a158b152158a1581,15b15a12c15b15a1,2b12c15a12b12b1,a152a152158b152a152 O1 4 4 1581,15a1,2b1,a152 I2 20 3 20a620a621b20a620a6,a142a142a142a142a142,21b21b20a621b21a2 O2 4 3 20a6,a142,21a2 I3 15 4 a30a309a0a30a30,a12a12a9b12a12,a91a9b12a91a91,9a09a0a309a09a0 O3 3 4 a30,a12,a91,9a0 I4T 20 4 56325632131356325632,672a67263123672a6726,312a31236726312a3123,13131313563213131313 O4T None I5T 20 2 235023503a4923502350,3a493a4923503a493a49 O5T None
4 2 2350,3a49
dataset=solve_symmetry group='extract_rect_tile rect hstack(orig orig flipy orig orig)' predict=image image_width=medium image_height=small task_pixels=a
Simon-ARC-Image-Shape number of unique colors inside shape3x3histogramdiamond5
18 12 b2h4a24b2,a24a242a4a2424c2,a2c4d24c242,a2b4b20c24b24,a242a430a24c2b4,b24230a24a24d2,4c2304a24b2a424,c43042a424b2b4,24243424a242a4a2a4,4a23b242a42d42,a2a4a24a24a2a4a242,c2424g2424
18 12 a1b212a1f2a1,1m2121,1f231c21b2,1p2,1c2343i2,21a234a3i2,d2b3i2,b234a3i21,b2a34k2,a2a3h21c2,b23m2,a1e212a1e2
dataset=shape group=shape3x3_histogram_diamond5 image_width=medium image_height=medium
Simons-Arc-Image-Pair, histogram-b excluding histogram-a colors
20 8 404140b4a14b0a4a14,0a104a0a4140a414a0a4,1010214a04014c10a4,1a02a14c04b140b4,4012a1a4014c0a10a4,a42b41410404b0c4,41404b1a4a0b4a0414,a40d4140410b4a04 15 10 d6868e68,565f65a8a6,68056868c68a6,86065c6565b6,a60a8a5c6b86,50a6a865a6868a6,60685b656568a6,50e685a6868,80a8b686865686,60a868e68a6
6:91,8:34,5:17
dataset=image_pair group=b_remove_a_colors image_width=medium image_height=small
SimonsArcImageSymmetry make symmetric 2x2(orig orig orig orig)
23 6 b85a8a585b8a58a5c85,8c58b58a5d8c5a8,85b85a8c5b85b85b8,5a858f58585c8b5,a58a585a85858c5a85a85,b858585a8c5858a5a8a5
46 12 b85a8a585b8a58a5c85b85a8a585b8a58a5c85,8c58b58a5d8c5b8c58b58a5d8c5a8,85b85a8c5b85b85c85b85a8c5b85b85b8,5a858f58585c8c5a858f58585c8b5,a58a585a85858c5a85a8b58a585a85858c5a85a85,b858585a8c5858a5a8a5b858585a8c5858a5a8a5,b85a8a585b8a58a5c85b85a8a585b8a58a5c85,8c58b58a5d8c5b8c58b58a5d8c5a8,85b85a8c5b85b85c85b85a8c5b85b85b8,5a858f58585c8c5a858f58585c8b5,a58a585a85858c5a85a8b58a585a85858c5a85a85,b858585a8c5858a5a8a5b858585a8c5858a5a8a5
dataset=symmetry group=symmetry image_width=large image_height=small instruction_sequence='2x2(orig orig orig orig)'
simons-Arc-Histogram, overlapping colors
9:1212,0:1020,1:749,8:670,3:282,5:161,2:23 7:1145,4:1072,6:688,3:685,8:416,0:255,1:15
0,1,3,8
dataset=histogram_two group=intersection histogram_size=d
simons-arc-image-shape identify places where shape2x2 contains bit 4
4 18 5798,5789,5985,79a5,1b7,74a5,9478,8497,54a5,54a9,8b5,a5a9,9898,a7a8,8a59,8a97,5a95,97a5
5 19 c01,b010,0,,01b0,0,,b010,0,,01b0,0,,a01a0,0,,a01a0,0,1c0
dataset=shape group=shape2x2 image_width=small image_height=medium
SIMON-SOLVE-VERSION1 predict image for 'O4T'
I0 3 7 3a6,,,,,, O0 12 1 c3g6 I1 1 7 8,,,,,, O1 4 1 8 I2 1 14 9,,,,,,,4,,,,,, O2 4 2 9,4 I3T 4 14 a402,,,,,,,a301,,,,,, O3T None I4T 5 7 b563,,,,,, O4T None
20 1 k5c6c3
dataset=solve_scale group=x4up_y7down predict=image image_width=medium image_height=medium task_pixels=a
simon-solve-version1 'O5T' predict the image
I0 5 3 b383,b358,b343 O0 5 3 0,09b0,0 I1 4 10 5,,,7,52a5,a525,5425,5452,5425,52a5 O1 4 10 0,0a90,0,,,,,,, I2 10 4 a08f0,b0a8a0b2,d080a80,e08b0 O2 10 4 0,,09g0,0 I3 9 6 5,,,a5a1d5,c5a1b5,e5a25 O3 9 6 0,0f90,d0b90,f090,0, I4 6 8 c131,,b1318,,a13183,,131823,1b2a1 O4 6 8 0,09c0,,0,,,, I5T 5 8 5,a9b4,a4b5,5,,,, O5T None
5 8 0,,,b090,0b90,,,0
dataset=solve_outline group=outline_all8 predict=image image_width=small image_height=small task_pixels=a
simonsolveversion1, O3T, predict image
I0 4 2 b40,5a02 O0 12 2 h4b0,b5e0b2 I1 1 18 1,7,1,6,1,,6,,1,,,7,6,,1,7,6,1 O1 3 18 1,7,1,6,1,,6,,1,,,7,6,,1,7,6,1 I2 5 6 1c2,5c2,580a2,690a2,268a2,038a2 O2 15 6 b1k2,b5k2,b5b8b0e2,b6b9b0e2,b2b6b8e2,b0b3b8e2 I3T 2 10 14,,61,64,,,4,,, O3T None
6 10 b1b4,,b6b1,b6b4,,,4,,,
dataset=solve_scale group=x3up_y1 predict=image image_width=medium image_height=medium task_pixels=a
Simon-ARC-Image-Mass max mass 6, connectivity corner4
7 10 a82a938,6176398,8216398,3861698,3681797,38a6196,36a7618,38a6768,a6c87,7c878
7 10 1,,b10b1,a1010a1,10d1,a10c1,10d1,a10c1,10d1,1
dataset=mass group=max_mass image_width=small image_height=small connectivity=PixelConnectivity.CORNER4 max_mass=6
SIMONARCIMAGESYMMETRY make symmetric 2x2(flipy flipx flipx 180)
23 13 e0i3b7c0,k0c7f0,f0d7j0,b0c7o0,0a7s0,e0c704707g0,n0a7e9,j04a0b9e0,0,,,,
46 26 z0b7i3e0,z0b0c7k0,z0f0d7f0,z0k0c7b0,z0o0a70,j04a0b9m070740c7e0,n0a7k9a7n0,e0c704707m0b9a04j0,0a7z0o0,b0c7z0k0,f0d7z0f0,k0c7z0b0,e0i3b7z0,c0b7i3z0a0,f0c7z0g0,j0d7z0b0,o0c7y0,s0a7w0,g070740c7k0b9a04j0,e9a7n0e9a7n0,e0b9a04r070740c7e0,z0o0a70,z0k0c7b0,z0f0d7f0,z0b0c7k0,z0b7i3e0
dataset=symmetry group=symmetry image_width=large image_height=medium instruction_sequence='2x2(flipy flipx flipx 180)'
simons-arc-image-shape find shape3x3opposite bit 3
8 30 a13a1731,a13a1631,d16a1,,c136a1,13b16a1,a13a1631,a1a31671,d1613,73b16a1,3c16a1,a7b16a1,7c16a1,47b1653,1b71657,147a1651,74717651,14171651,a1471653,31417157,17417151,a14a1751,a1431751,a174a151,17147151,b14b13,3a13c1,c17b1,a71717a1,37a17b1
8 30 a01d0,,0b101a0,,0a1d0,010101a0,a01d0,0,0b101a0,b0101a0,a0a101a0,b0101a0,a0a101a0,b01c0,a01d0,0,0101c0,,0,a0101b0,c01010,a01d0,0,e010,01c010,010101a0,b010a10,0a101010,a0c1a0,c01010
dataset=shape group=shape3x3_opposite image_width=small image_height=large
simon-solve-v1 'O4T' predict the image
I0 12 3 a7c3e7,e7c3a7,a7c3e7 O0 1 1 3 I1 14 3 4c8b1a84b8,b84a8d1b8,8d6a054a748 O1 1 1 5 I2 3 14 7,a79,,,9a7,7,797,9a7,a97,,797,9,979,9 O2 1 1 9 I3 2 13 7,97,9,97,7,,79,7,79,,,9,97 O3 1 1 9 I4T 13 11 3,d31f3,e31e3,e381d3,f381c3,g381b3,g3b1a3,c3c1387a3,3e9b38a3,i3873,j383 O4T None I5T 5 8 5,,,,,,, O5T None
1 1 7
dataset=solve_color group=least_popular_color_1x1 predict=image image_width=medium image_height=medium task_pixels=a
simonsolvev1 predict image for O4T
I0 4 4 6878,76a8,7864,7486 O0 4 4 8647,4867,8786,6a87 I1 4 6 4,9698,9348,41a0,2a14,4 O1 4 6 a142,4,,6989,3489,1a04 I2 6 6 0,0b430,07b30,067b0,,0 O2 6 6 67c0,0,,b43a0,7b3a0,67c0 I3T 6 4 a79b7,7b817,7a42a7,747527 O3T None I4T 4 2 9752,30a6 O4T None
4 2 7529,0a63
dataset=solve_translate group=translate_xminus1yplus2 predict=image image_width=small image_height=small task_pixels=a
simon-solve-version1, 'O3T', predict the image
I0 10 8 146f4,846a4a8b4,1a86a48514,c4895b4,8b4975a41,b49451b4,6489851a46,48a1514184 O0 10 8 f4641,b4a8a4648,4158a46a81,b4598c4,1a4579b48,b41549b4,6a41589846,481415a184 I1 8 4 13213212,3b51364,a35a6a94,a3e0 O1 8 4 21231231,4631b53,4a9a65a3,e0a3 I2T 4 8 a821,2b7,7816,b76,2136,a756,1356,2858 O2T None I3T 8 10 a5272757,751a7212,725a2519,b7a2189,72120189,5a2078a9,a2702693,a27a6397,a763a759,12717259 O3T None
8 10 757272a5,212a7157,915a2527,981a2b7,98102127,a9870a25,396207a2,793a67a2,95a736a7,95271721
dataset=solve_rotate group=flipx predict=image image_width=small image_height=small task_pixels=a
SimonsArcImageScale, Recognize the transformation. x2up_y1,x4down_y7down,x4up_y1,x3up_y1
20 21 c1c4g8c0,,,,,,,c5c4c6g0,,,,,,,c5c6c4g0,,,,,, 5 3 14a80,546a0,564a0
x2up_y1=0,x4down_y7down=1,x4up_y1=0,x3up_y1=0
dataset=scale group=recognize_transformation image_width=medium image_height=large scalex=down4 scaley=down7
Simons-Image-Dilation dilation mask with connectivity TRBL2
7 12 b92b9,943c9,2b93a9,2949393,492a939,a424392,a9834a9,b98439,9290949,9329092,c90a9,d909
7 12 a0a1b0,0a2a010,1201210,a1b2a0,1b21a0,1b20a1,a121a21,01c21,0b2120,1a202a1,a1012a1,b01010
dataset=dilation group=apply_dilation image_width=small image_height=medium connectivity=trbl2
simonsolveversion1, 'O4T', predict the image
I0 5 2 520a9,9a8a0 O0 4 2 5209,9a80 I1 2 5 5,46,48,74, O1 2 4 5,46,48,74 I2 5 3 1,,c10 O2 2 2 1,10 I3 6 3 01a8a1,01a091,a1a010 O3 5 3 018a1,01091,a1010 I4T 4 5 a363,3763,3765,a364, O4T None
4 4 a363,3763,3765,a364
dataset=solve_compress group=compressxy predict=image image_width=small image_height=small task_pixels=a
Simon-Cellular-Automata, What transformation happens here. maze_wrap,gameoflife_nowrap,cave_nowrap,highlife_wrap,cave_wrap
17 22 01a0101a01f0,0d10c1e0,1a0101j0,0b1a010d1c0,0b1a01e01b0,0a1a0b1f0a1,a1a0a1b0b1d0,b01b0a1g0,c01g0a1a0,b01c0b1c010,0101a0101d0b1,h0101d0,a101c0a101b010,h0a1c0a1,n010,d01b01c01a0,l01b0,010a1g01a01,k010101,a01d01d01a0,e0a1h0,e0a1a01e0 17 22 01a01k0,a1d0c1e0,1c01j0,1c0b10c1c0,c01b0d1c0,f01a01d01,a10b1b0a1d01,b0101a0b1e0,b0a1a01e01a0,a0b1a0b1b01a01,a01c0a1d0b1,01d0101c01a0,1f01a01b010,1f0b1b0a10,h0a1b0b1,m01a0,c01g0a1a0,1j0c10,10a1i01a0,f01d01010,e0101g0,g01g0
maze_wrap=0,gameoflife_nowrap=0,cave_nowrap=0,highlife_wrap=0,cave_wrap=0
dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=medium image_height=large
SIMON-SOLVE-V1 predict image for O3T
I0 7 8 a0a3503,053c0,b30503,b5a053,30843a0,a8a0a43,03d0,53b053 O0 7 8 3,d363,3,,,,b36b3,3 I1 8 3 67a1c4,6a49c4,4a269b4 O1 8 3 3,d3a63,3 I2T 5 5 646a5,54a64,54b6,64565,6c5 O2T None I3T 4 6 7,,a757,b75,7, O3T None
4 6 3,36a3,3,36a3,3a63,3
dataset=solve_erosion group=apply_erosion_nearest4 predict=image image_width=small image_height=small task_pixels=a
FlipB SIMONSARCRLEIMAGE
22 1 6
1 22 6,,,,,,,,,,,,,,,,,,,,,
dataset=image_deserialize group=flipb image_width=large image_height=small
Simon-Solve-V1 'O3T' predict the image
I0 16 4 a406a94a74c947,709a479a797a4797,797a490a709a4907,74a960c40a60a4 O0 4 4 a406,7094,7974,74a9 I1 16 4 7010a17a27c172,2720a71a01c710,01a7027a272a0272,27a1010a701a0107 O1 4 4 7010,2720,01a7,27a1 I2 8 2 2a8a3a83,3a8a2a82 O2 2 2 28,38 I3T 12 3 32a3c2a3a2,a0a1c0a1a0,a2a32a32a323 O3T None
3 3 323,a01,a23
dataset=solve_symmetry group='extract_square_tile square hstack(orig 180 flipy 180)' predict=image image_width=medium image_height=small task_pixels=a
simonsolvev1, 'O4T', predict the image
I0 9 10 20f2,0g2,,2,,,,,, O0 10 9 f2a02,h20,2,,,,,, I1 10 1 e9b89 O1 1 10 9,,,,,,8,,,9 I2 1 1 4 O2 1 1 4 I3 1 1 0 O3 1 1 0 I4T 1 2 2, O4T None I5T 2 10 89,09,89,80,90,30,2,8,, O5T None
2 1 2
dataset=solve_rotate group=rotate_cw predict=image image_width=small image_height=small task_pixels=a
SimonsImageMass max mass 7, connectivity leftright2
7 20 0603b6,a603a67,603b68,a03a098,a636980,a639086,6309680,0396870,0360876,93a6870,30687a6,,,0686760,0b6706,b06706,6a07a60,6060b6,6b06a0,a6b0a6
7 20 1,,,,,,,,,,,,,,,,,,,
dataset=mass group=max_mass image_width=small image_height=medium connectivity=PixelConnectivity.LR2 max_mass=7
SimonArcImageErosion erosion mask LR2
17 10 6,l6a1a6,j6a1c6,g6b1e6,e6a1h6,c6a1j6,e6c16b48a6,f6b4b168a6,l6a786,n676
17 10 0n10,0j1d0,0h1c0a10,0e1a01a0c10,0c1c0f10,0a1c0h10,0c1a0a1b01c0,0d1a01a01d0,0j1d0,0l1b0
dataset=erosion group=apply_erosion image_width=medium image_height=small connectivity=lr2
Simon-Solve-Version1 predict image for O3T
I0 4 6 4,,2,,a4a2, O0 4 9 4,2,4242,4,,,,a2a4,42a4 I1 8 6 a4a2a4a2,,a2c4a2,,c4c2, O1 16 9 4242d4242c4,2a42c42a42c4,a4a2e4a2c4,d42424242c4,c42a4a2a42c4,e4a2a4a2c4,42424242g4,2a4a2a42g4,a4a2a4a2g4 I2 8 6 a2a4a2a4,,,,c4c2, O2 16 9 c4242d42424,,e4a2e4a2,c4242d42424,,e4a2e4a2,2424242h4,,a4a2a4a2g4 I3T 6 8 2,,a4a2a4,,4,,a2a4a2, O3T None
9 16 4,,,,b2b4b2,42d424,4,242b4242,2,42a42a424,4,24a24a242,b4b2b4,c42c4,4,b4242b4
dataset=solve_fractal group=pattern_to_fractal predict=image image_width=medium image_height=small task_pixels=a
Simon-Solve-Version1 predict image for O6T
I0 6 6 8,,c891,a8a918,b81a8,8 O0 6 6 7,7a8b7,7,,, I1 3 4 4,,, O1 3 4 7,787,,7 I2 10 4 81a824c8,b828a1b8,e84b8,8a4c8418 O2 10 4 7,g787,7, I3 4 9 6434,a434,,43a6,4646,46a4,6b4,4, O3 4 9 7,,,,,,,a787,7 I4 9 8 0,e05a0,d05b0,c065b0,a0515c0,0a105c0,1a05d0,0 O4 9 8 7,7b8d7,7a8e7,f787,,e7a87,,7 I5T 10 10 c39d3,d3a9b3,f39a3,e3b73,a3c7b31,a7e313,37d31a3,,a37b31b3,b3a81c3 O5T None I6T 4 5 5,,,, O6T None
4 5 7,7a87,,,7
dataset=solve_outline group=outline_all8 predict=image image_width=small image_height=small task_pixels=b
Simon-Solve-Version1, O2T, predict image
I0 13 12 c1764b1a76,d1614b1a6,1b6b14a1a67,16c161471a6,d171a64b1,16a16c14616,16d1b64a1,6c1651616a1,67161516a17a1,1a615d1a67,16156b16a171,a1671616b171 O0 1 1 5 I1 12 1 e26c02 O1 1 1 6 I2T 1 5 7,0,,7, O2T None I3T 5 9 9a259,9a252,a2952,a9250,b2a0,92050,90909,07209,2b69 O3T None
1 1 0
dataset=solve_color group=least_popular_color_1x1 predict=image image_width=medium image_height=medium task_pixels=a
simons-arc-image-erosion erosion mask TLBR2
13 3 a02e04102,202a020a42010,c02a4e1
13 3 0,01h010,0
dataset=erosion group=apply_erosion image_width=medium image_height=small connectivity=tlbr2
SIMONSOLVEVERSION1 predict image for 'O5T'
I0 2 2 91,9 O0 2 2 9,91 I1 2 4 45,54,48, O1 2 4 48,45,54,48 I2 4 8 6,7a61,6a31,3716,a616,6216,71a6,1b6 O2 4 8 1b6,6,7a61,6a31,3716,a616,6216,71a6 I3 8 2 535359a2,52c481 O3 8 2 52c481,535359a2 I4T 2 3 17,07,20 O4T None I5T 3 3 0,a05,435 O5T None
3 3 435,0,a05
dataset=solve_translate group=translate_yplus1 predict=image image_width=small image_height=small task_pixels=a
SIMON-SOLVE-V1, 'O3T', predict the image
I0 12 2 5,2 O0 3 14 5,,,,,,,2,,,,,, I1 16 2 c0c7g3,g4c6c3 O1 4 14 07a3,,,,,,,a463,,,,,, I2 16 1 g9c5c7 O2 4 7 a957,,,,,, I3T 8 1 c9c6 O3T None
2 7 96,,,,,,
dataset=solve_scale group=x4down_y7up predict=image image_width=medium image_height=medium task_pixels=a
Process SIMONSARCIMAGE and return the transposed
5 7 02562,02520,b656,0a652,0a252,6a065,a4b3
7 5 a06a064,a2a6204,a5a6203,62b563,206a253
dataset=image_deserialize group=flipa image_width=small image_height=small
Simon-Solve-V1, O3T, predict image
I0 11 7 a8408b0b9,40a40d49,494048a49a0,4b0d104,a0a14848040,a4b04a90a4,49a4d0a4 O0 1 1 8 I1 10 6 c0940404,a4b09a409,9090404849,0484d19,f0494,0a40948084 O1 1 1 8 I2 13 10 b40a4a34a8a4,a4370a4349434,4374303439784,a47a8048a47a4,487a430b4378,a473b4b8474,37e484874,37d43b434,c3d43a48,a38a3b43c4 O2 1 1 9 I3T 12 9 b40b434384,43470c4984,347a40a43974,347a403b474,3474a30a4347,a47c4b847,47a48b4a387,37d43a4a3,834d3a834 O3T None I4T 11 8 b40b4b38,3a470a3a493,a474303a4a7,437a404a7a4,a474b74348,a4a7c8a43,a7c83a4a3,47a48a343a4 O4T None
1 1 9
dataset=solve_color group=least_popular_color_1x1 predict=image image_width=medium image_height=small task_pixels=a
Simon-ARC-Image-Shape detect shape2x2 bit 2
8 1 a6c939
9 2 1g0,
dataset=shape group=shape2x2 image_width=small image_height=small
Simons-Image-Scale scalex=down6 scaley=up7
6 1 4
1 7 4,,,,,,
dataset=scale group=scale_input image_width=small image_height=small scalex=down6 scaley=up7
SIMONARCIMAGEEROSION erosion mask with connectivity tb2
8 9 d3a83,03830383,38303873,3a083870,383a8030,3a0a8030,a03a8308,0a380b3,a0a30b3
8 9 0,f01,0,1f0,1a01b01,b0a1b0,b01c0,101a01a0,0
dataset=erosion group=apply_erosion image_width=small image_height=small connectivity=tb2
simon-solve-v1, O3T, predict image
I0 6 2 13a0a6,a53238 O0 2 6 68,63,02,03,35,15 I1 2 8 12,32,,2,23,,,3 O1 8 2 c2c3,1a3c23 I2 8 9 e870,18081078,d87a0,8,87687b8,80767b8,b87b81,0a8b180,181b808 O2 9 8 080b8108,a70d80,807c818,81a8a7818,d86718,80a867a81,c870b8,81d801 I3T 9 5 21b21a27,28a271b2,a282121a2,71821c2,a18a27a27 O3T None I4T 5 5 01a01,03023,1a021,10312,213a1 O4T None
5 9 7b27,2,a21a2,a1a27,27a12,2,a2b8,182a1,b271
dataset=solve_rotate group=rotate_ccw predict=image image_width=small image_height=small task_pixels=a
Simon-Solve-V1 predict image for O4T
I0 18 32 1,,4,,a4a1c4a1c4a1a4,,a4c1a4c1a4c1,,4,,,,,,,,e4e1e4,,4,,g4a1g4,,g4c1e4,,e4k1,,4,,g4a1c4a1a4,,g4c1a4c1, O0 9 12 1,,,4,,,b4b1b4,,,b4e1,, I1 32 18 s4c1c4c1,,o4a1a4e1a4c1,,s4a1e4a1a4,,c4c1k4c1c4c1,,a1a4c1g4a1a4e1a4c1,,c4a1m4a1e4a1a4,,s4c1g4,,o4a1a4c1g4,,s4a1i4, O1 12 9 e4e1,,,b1b4e1,,,e4b1b4,, I2 32 32 c1c4c1s4,,a1a4e1a4c1o4,,4,,a1a4e1a4c1o4,,c1k4c1c4c1c4,,a1a4c1g4a1a4e1a4c1,,4,,a1a4c1g4a1a4e1a4c1,,4,,,,,,,,c1k4c1c4c1c4,,a1a4c1g4a1a4e1a4c1,,4,,a1a4c1g4a1a4e1a4c1, O2 12 12 e1e4,,,b1b4e1,,,4,,,b1b4e1,, I3T 18 8 c1a4c1g4,,a1c4a1i4,,c1m4,,a1o4, O3T None I4T 8 32 e4a1,,c4c1,,4,,e4a1,,a4a1a4a1,,1,,4,,a4a1a4a1,,4,,,,,,,,e4a1,,c4c1,,4,,e4a1, O4T None
6 12 b4b1,,,1,,,4,,,b4b1,,
dataset=solve_fractal group=fractal_to_pattern predict=image image_width=other image_height=other task_pixels=d
Simons-Image-Mass identify places where max mass is 7, connectivity toprightbottomleft2
4 4 a8a2,2a72,7892,2127
4 4 1,,,
dataset=mass group=max_mass image_width=small image_height=small connectivity=PixelConnectivity.TRBL2 max_mass=7
SIMONSIMAGESYMMETRY Symmetry vstack(180 flipy orig orig)
20 5 6d371a460c61606,d67c3b76a1a606,09b17a60b41d7a6,a16e40a1a6769b6,g0a1a676a9c6
20 20 c6a967a6a1g0,b6967a6a10e46a1,a6d71b40a67b190,60a6a16b7c37d6,6061c606a417d36,g0a1a676a9c6,a16e40a1a6769b6,09b17a60b41d7a6,d67c3b76a1a606,6d371a460c61606,,d67c3b76a1a606,09b17a60b41d7a6,a16e40a1a6769b6,g0a1a676a9c6,6d371a460c61606,d67c3b76a1a606,09b17a60b41d7a6,a16e40a1a6769b6,g0a1a676a9c6
dataset=symmetry group=symmetry image_width=medium image_height=small instruction_sequence='vstack(180 flipy orig orig)'
simonsolvev1 predict image for O4T
I0 2 5 68,58,,56, O0 2 3 68,58,56 I1 2 6 45,67,60,,95,92 O1 2 5 45,67,60,95,92 I2 6 3 0a10a1,1064a1,014b1 O2 5 3 0a101,10641,014a1 I3 3 6 6a9,8,783,738,739, O3 3 5 6a9,8,783,738,739 I4T 2 6 85,8,98,,78,73 O4T None I5T 3 6 a10,816,,714,210,2a4 O5T None
2 5 85,8,98,78,73
dataset=solve_compress group=compressxy predict=image image_width=small image_height=small task_pixels=a
Here are 2 images of type Simons-Arc-Image-Pair, add histograms
17 2 g5a9a171a21,7e1a71d241 4 4 8974,4,0874,8b4
1:12,4:10,5:8,2:7,7:6,8:3,9:3,0:1
dataset=image_pair group=add_histograms image_width=medium image_height=small
simonshistogram, unique colors
2:1504,6:1030,1:490,9:359,0:130 9:267
0,1,2,6,9
dataset=histogram_two group=unique_colors histogram_size=d
simonsolveversion1 predict image for 'O3T'
I0 6 8 0b929,9a02a9,9720a9,297909,927929,9297a9,b97a9,d92 O0 6 8 2,,,,,,29c2,2 I1 6 6 b58a5,a50185,505b1,12a1a5,a151a5,b51a5 O1 6 6 2,29c2,2,,, I2 5 5 3,,b313,3, O2 5 5 2,29292,2a9a2,29292,2 I3T 7 4 a385989,8939589,5b9b8,d939 O3T None I4T 3 5 4,141,434,104,a41 O4T None
7 4 2,,a29c2,2
dataset=solve_erosion group=apply_erosion_corner4 predict=image image_width=small image_height=small task_pixels=a
SIMONSIMAGEDILATION dilation mask with connectivity LR2
5 9 a7212,13928,13b1,239a1,739a1,,13b1,739a1,a7b1
5 9 01a21,1b21,121a0,1a210,,,121a0,1a210,0a1a0
dataset=dilation group=apply_dilation image_width=small image_height=small connectivity=lr2
simon-solve-v1 predict image for O3T
I0 12 4 b71a7171a71,a71c71a717,171b71a7a17,c71c71a7 O0 12 4 b17a1717a17,a17c17a171,717b17a1a71,c17c17a1 I1 4 2 21a2,2121 O1 4 2 12a1,1212 I2T 11 4 a5a3a535353,b5b3d5,3a53d5a3,b353b53a5 O2T None I3T 8 14 c43b4,3c4b3,a43d4,43d43,d43a4,3a43c4,4,34a3c4,4a3a43a4,4,,3c43a4,4,a4343434 O3T None
8 14 c34b3,4c3b4,a34d3,34d34,d34a3,4a34c3,3,43a4c3,3a4a34a3,3,,4c34a3,3,a3434343
dataset=solve_color group=swap_colors predict=image image_width=medium image_height=medium task_pixels=a
Process simon-arc-rle-image-pair and return the number of colors in common
2 8 1,95,,59,29,27,31,1 15 5 15c3a69b6a52,2a9b6a32932531,a12b93159232a3,1523a2b9251351,a321b321951b3
5
dataset=image_pair group=number_of_intersection_colors image_width=medium image_height=small
SimonsCellularAutomata, Game of Life wrap=xy. steps=1. alive=0. dead=4.
7 10 4,,,,b4a0a4,4,a40c4,b40b4,40d4,
7 10 4,,,,,b40b4,4,a40c4,,4
dataset=cellular_automaton group=gameoflife_wrap ca_step=1 image_width=small image_height=small
Rotate counter-clock-wise SIMONSARCIMAGE
11 2 4b9e54,a4a5a2d4
2 11 4,54,,,,52,,95,,94,4
dataset=image_deserialize group=rotate_ccw image_width=medium image_height=small
SimonImageErosion mask when doing erosion LR2
10 4 a5a357a151,515b753a5,5a74157351,74a5357343
10 4 0,c01d0,0,
dataset=erosion group=apply_erosion image_width=small image_height=small connectivity=lr2
simons-rle-image-pair, Histogram A without colors of Histogram B
16 10 b7b27e2a72,272727f27a2,7b272a727e2,b2727272b7a272,72b7a27f23,b27a2d7a2a32,c27272a7a232a7,d82a727a3c2,a7a27c83c7a2,2727a272727c27 20 4 75a076a565a0a75b705,70a7a050a7a50a565a06,56a06b0a7d05a0a7,a06750b75b076a7a07
2:89,8:9,3:7
dataset=image_pair group=a_remove_b_colors image_width=medium image_height=small
Minimum of simonshistogram
9:1511,8:1480,7:1400,6:840,1:625,0:501,3:447,2:331,4:228 1:1159,8:701,4:270,0:227
8:701,1:625,4:228,0:227
dataset=histogram_two group=min histogram_size=d
simon-image-mass max mass 8, connectivity corner4
17 5 c3a45a34b5c9,34a345d2a9a414,1d2b35a4a3134,1c3a4534a534515,41a35a3a4a1313a45
17 5 1,,,,
dataset=mass group=max_mass image_width=medium image_height=small connectivity=PixelConnectivity.CORNER4 max_mass=8
SIMONARCIMAGEMASS identify places where max mass is 2, connectivity 8
1 15 7,,,,5,,,,,,6,,5,,
1 15 0,,,,,,,,,,1,,0,,
dataset=mass group=max_mass image_width=small image_height=medium connectivity=PixelConnectivity.ALL8 max_mass=2
Simon-Solve-Version1 predict image for 'O3T'
I0 7 9 9393939,3b9393,38d9,969c3,36a9b3,36393a9,c3b9,3a93939,3a939a3 O0 9 7 9a39d3,398b63a9,d9a3a9,3a93a9b3,939b3b9,3a9a3a9a3,939a3b93 I1 9 3 c35c3,a3a5d3,3 O1 3 9 3,,353,,5a3,3,,, I2T 3 3 070,a07,0 O2T None I3T 3 10 2a1,121,,313,131,3a1,1,,a13,1 O3T None
10 3 2a1313c1,1a213d1,b13c131
dataset=solve_rotate group=flipa predict=image image_width=small image_height=small task_pixels=a
SIMON-SOLVE-V1, O4T, predict image
I0 2 8 21,12,17,87,,,, O0 2 8 78,12,21,71,78,,, I1 8 6 4a84b84,a878a4a0,b87a078,a480a7a8,c38478,8a76c3 O1 8 6 a76c38,a84b8a4,878a4a08,a87a07a8,480a7a84,b384783 I2 6 4 a639a6,369b6,6a3b6,9a6969 O2 6 4 a696a9,639b6,69b63,a3c6 I3T 4 3 39a6,7686,5b7 O3T None I4T 3 6 0,5a0,,,0a3,353 O4T None
3 6 5a3,0,a05,,,a30
dataset=solve_translate group=translate_xminus1yplus1 predict=image image_width=small image_height=small task_pixels=a
simonsolvev1 predict image for 'O5T'
I0 9 9 g21,313b21a2,a23c2a1,f212,b2a3c2,1a23a2321,e2a32,b2b3a23,3g2 O0 9 9 2,c24c2,,2,,,,, I1 3 10 8a9,,,849,4a9,a94,9,,, O1 3 10 2,,,,,,,242,,2 I2 9 4 c61a9a6,a6a1d6,64f6,e7b6 O2 9 4 2,,f242,2 I3 10 8 5,a58d574,5848a5a745,a58b7a4a5,5a7854c5,b548a1b5,b54e5,5 O3 10 8 2,,,,,g242,24e242,2 I4 8 8 f25,c25b2,52d52,2a525b2,2,25e2,a25a25a2,a25d2 O4 8 8 2,,,,e242,2,, I5T 10 6 61a6a161a6,6a151a78a6,6a725181a6,6b1568161,c125b16,c1265a16 O5T None
10 6 2,,,,a24f2,2
dataset=solve_outline group=outline_all8 predict=image image_width=small image_height=small task_pixels=b
simons-cellular-automata, What transformation happens. cave_nowrap,cave_wrap
22 21 1,,,,,,,,,,,,,,,,,,,, 22 21 1,,,,,,,,,,,,,,,,,,,,
cave_nowrap=1,cave_wrap=1
dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=large image_height=large
simons-arc-image-dilation mask when doing dilation lr2
11 7 b85a804808,b8a5d86,e850a68,8c0a85680,d8a06508,060a856b08,64a8064c8
11 7 a012a1c21,a0c1b0a1,d01a2b1,a1a0b1b21,c0b1b21,1a2a1a210a1,12a1b21b0
dataset=dilation group=apply_dilation image_width=medium image_height=small connectivity=lr2
Simon-Solve-V1 predict image for 'O4T'
I0 6 7 0,c0a8,a0a8a0,a091a0,b0130,c010,0 O0 6 7 0,a8c0,c0a8,c091,3c01,1d0,0 I1 7 5 c79a7,b79b7,a798b7,a724b7,b74b7 O1 7 5 e79,d797,c7987,c7247,d747 I2 5 1 b8a7 O2 5 1 a7b8 I3 1 2 7,1 O3 1 2 7,1 I4T 2 8 0,92,95,05,0,20,0, O4T None I5T 8 6 5a0151a5,0b696a0,a05961a5,a0196050,05950a51,a5a95151 O5T None
2 8 0,92,95,05,0,20,0,
dataset=solve_translate group=translate_xplus2 predict=image image_width=small image_height=small task_pixels=a
simonsolveversion1, O3T, predict image
I0 6 2 b3a86,a68a39 O0 4 2 a386,6839 I1 5 4 a13a1,,a3131,a1751 O1 4 3 13a1,3131,1751 I2T 4 3 8a73,7a37,7 O2T None I3T 3 4 8a1,,891,9a1 O3T None
3 3 8a1,891,9a1
dataset=solve_compress group=compressxy predict=image image_width=small image_height=small task_pixels=a
Simon-ARC-Image-Mass identify places where max mass is 4, connectivity nearest4
19 14 a3403a038b38038303,04c308b30a4340a3,4e30a3080380430,b38034a30a38d34,b34a304384040a30a8,34030e38b340a3,4a34030b38303034a3,a0d3a4b3043a938,408f3030a934a3,0d34b3b9340830,a3a4c0a93434a3040,4b340a94a3808a0340,8a3d0a4a343a4b3,303a04a3b0c30483
19 14 c10c1b0e10,a1c0a1b0e1a0,1e01a0b10b101,b0a101a0c1d01,b01a0a10d1a0b1,0c1e01b0a1a0,1a0a101b01010b1a0,a1d0a1b0d101,b1f010d1a0,1d01b0f101,a0a1c0a10g1,1b010b1a0d10a1,1f0a1a010a1b0,a1b0e1c0b10
dataset=mass group=max_mass image_width=medium image_height=medium connectivity=PixelConnectivity.NEAREST4 max_mass=4
simonsolvev1 predict image for O4T
I0 4 8 1941,a1a4,1414,64a1,a164,4191,9161,6b1 O0 4 8 6b1,9161,4191,a164,64a1,1414,a1a4,1941 I1 8 1 a21d0 O1 8 1 a21d0 I2 1 8 6,,5,4,,,, O2 1 8 4,,,,,5,6, I3 8 8 63b6a36,a6a9b63,b679738,969b678,b906a86,390a8686,a60869a6,a368a6a3 O3 8 8 a368a6a3,a60869a6,390a8686,b906a86,969b678,b679738,a6a9b63,63b6a36 I4T 8 3 1a71a7a1,7571b71,171a5717 O4T None
8 3 171a5717,7571b71,1a71a7a1
dataset=solve_rotate group=flipy predict=image image_width=small image_height=small task_pixels=a
simon-image-scale scalex=up4 scaley=down5
3 10 930,,,,,387,,,,
12 2 c9c3c0,c3c8c7
dataset=scale group=scale_input image_width=small image_height=small scalex=up4 scaley=down5
SIMON-SOLVE-VERSION1 predict image for 'O5T'
I0 6 2 79c4,a47979 O0 2 2 79,4 I1 9 3 c1a01a0,314314314,1a0e1 O1 3 3 1,314,1a0 I2 6 2 042020,2a0404 O2 2 2 04,20 I3 9 3 b31a51a5,130130130,1a5e3 O3 3 3 3,130,1a5 I4T 6 2 479797,974747 O4T None I5T 12 4 9a5914a514a5,9159a2a5a2a5,a2a5915a9159,14a59a5a9a59 O5T None
4 4 9a59,9159,a2a5,14a5
dataset=solve_symmetry group='extract_square_tile square vstack(orig flipx flipx)' predict=image image_width=medium image_height=small task_pixels=a
simonsolvev1, O5T, predict image
I0 8 5 97c9a5,91c569,15c969,d96a9, O0 8 5 2,,,b27c2,2 I1 5 7 8,,1c8,87b8,,a87a8,8 O1 5 7 2,a2a72,b272,,2,, I2 7 6 9,9b3839,3c939,93b939,98b989,b98a98 O2 7 6 2,,,b27b2,2, I3 5 8 2,,,,25b2,251a2,a21a2,2 O3 5 8 2,2b72,,b272,2,,, I4T 5 7 04b6,0c6,06787,0c6,,, O4T None I5T 7 8 56d5,56a1b5,9658a15,8a7a9a5,5a7c5,a57c5,, O5T None
7 8 2,,,,,c2a72,,2
dataset=solve_erosion group=apply_erosion_all8 predict=image image_width=small image_height=small task_pixels=a
FlipA simons-arc-image
12 12 5458454c58,c585c4a8,c358548a45,85a6a3a8c5,54a5685858a5,545481a68b5,58585815a658,4585a48152a5,54545a451624,f585162,b4a5a4b515,458a484b541
12 12 a538b54a5a4,4535a4854545,a536b58a548,853654854a54,48536854b54,a583818a4548,a458561845a4,5a4a865158a5,548a58651b5,5a45856261a5,584d52614,a8c5854251
dataset=image_deserialize group=flipa image_width=medium image_height=medium
SIMON-SOLVE-V1, O3T, predict image
I0 2 10 78,75,,78,,75,57,87,57,87 O0 2 2 57,87 I1 3 10 2a4,,,,,,a42,,, O1 3 2 a42, I2 4 15 a585,8585,a965,,8585,a585,,8585,a965,56a9,5858,58a5,56a9,5858,58a5 O2 4 3 56a9,5858,58a5 I3T 2 20 36,83,67,7,,67,83,36,,83,67,7,,76,38,63,7,76,38,63 O3T None
2 4 7,76,38,63
dataset=solve_symmetry group='extract_rect_tile rect hstack(orig orig 180 flipy 180)' predict=image image_width=small image_height=medium task_pixels=a
simon-arc-image-symmetry Symmetry hstack(orig 180 orig flipy flipy)
11 26 39a4340a434,49b3b4b0,a49039a43a4,a349b43a43,3c4393b4,4a3a40406a4,3b430a4694,a43a43926a4,0a93b42643,a40b402603,0e42639,439a3423649,c43420634,e423694,94a94324604,d4243609,43a432a4639,b4302406a3,493c436a4,43a43494604,a90b40b43,a40b43c4,a439a40b34,a4940430434,343404a3a04,b43a43b49
55 26 39a4340a4349b43a43b439a4340a43c43a43b49b43a43b49,49b3b4b04a0a340434349b3b4b0343404a3a04343404a3a04,a49039a43b434034049c49039a43c494043043b4940430434,a349b43a434b30a493a4a349b43a43a439a40b3b439a40b34,3c4393f43b40a43c4393d40b43e40b43c4,4a3a40406a43b40b40a94a3a40406a4a90b40b43a90b40b43,3b430a469a4064943a4343b430a469a43a4349460a43a43494604,a43a43926c463c439b43a43926b493c436b493c436a4,0a93b4264b3604203b40a93b42643b4302406a3b4302406a3,a40b402603936a423a43b40b40260343a432a463943a432a4639,0e4263a906342d40e42639d4243609d4243609,439a34236494064234a949439a342364a94a9432460494a94324604,c4342063a49632i4342063f42369f423694,e42369a4360243i42369d4342063d43420634,94a94324604946324a393494a9432460a439a3423649439a3423649,d424360a9362e40d42436090e426390e42639,43a432a463930620b40b43a432a4639a40b402603a40b402603,b4302406b3462b43a90b4302406a30a93b426430a93b42643,493c436c46293a43b493c436c43a43926c43a43926a4,43a4349460a496a403b4343a434946043b430a46943b430a4694,a90b40b43a46040a4a34a90b40b434a3a40406b4a3a40406a4,a40b43f4393c43a40b43c43c4393b43c4393b4,a439a40b343a43b494a3a439a40b34a349b43a4b349b43a43,a494043043b43a49309c494043043b49039a43c49039a43a4,343404a3a04b0b4b394343404a3a0a49b3b4b049b3b4b0,b43a43b4943a4043a493b43a43b4939a4340a43439a4340a434
dataset=symmetry group=symmetry image_width=medium image_height=large instruction_sequence='hstack(orig 180 orig flipy flipy)'
SIMONSOLVEVERSION1 predict image for 'O2T'
I0 48 12 k6b3b6b3n6b3b6b3b6,,,n6e3q6e3b6,,,b3b6b3z6b3b6b3b6,,,b6e3z6b6e3b6,, O0 4 2 3636,6a36 I1 12 12 e6b3b6,,,h6b3,,,b3h6,,,b6b3e6,, O1 2 2 36,63 I2T 12 12 e6b3b6,,,h6b3,,,b3h6,,,b6b3e6,, O2T None
2 2 36,63
dataset=solve_fractal group=fractal_to_pattern predict=image image_width=other image_height=medium task_pixels=b
FlipB Simon-ARC-RLE-Image
5 21 8,,c83,86b8,,861a8,861a3,a8618,,a8783,a8738,a87a8,87838,873a8,87b8,,,7c8,7a838,7c8,8
21 5 j83a83b83a8,a83d83838a13e8,f838b7a6a1d8,c8d7d8c6b8,8b7p8
dataset=image_deserialize group=flipb image_width=small image_height=large
Simon-Solve-Version1, O4T, predict image
I0 8 6 0,,,,c0a7a0,0b7c0 O0 8 6 4,4e34,,4a3d4,4, I1 6 7 5,,,b5a25,5a2b5,5, O1 6 7 4,4c34,43c4,4,,c434,4 I2 7 9 45d4,4042b4,5062b4,b065a4,40426a4,5402164,a4021a4,,a40c4 O2 7 9 4,d434,4,,,,,, I3T 3 8 9,,,,,,, O3T None I4T 6 9 6,,,,,,,, O4T None
6 9 4,4c34,,,,,,,4
dataset=solve_outline group=outline_all8 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.
Downloads last month
8
Size of downloaded dataset files:
151 MB
Size of the auto-converted Parquet files:
69.8 MB
Number of rows:
299,991