instruction stringlengths 18 163 | input stringlengths 4 1.77k | output stringlengths 1 4.18k | benchmark stringlengths 48 172 |
|---|---|---|---|
simon-solve-v1 'O3T' predict the image | I0
4 5 b13,a153,15a1,10a1,1
O0
4 5 3,7b3,,73a7,3
I1
3 8 212,2,a32,312,213,,a32,a21
O1
3 8 3,a37,,3,373,3,,
I2
8 5 73e7,70d37,07143b7,b71c7,
O2
8 5 3,f37,,37b3b7,3
I3T
5 5 8c6,68a30,64893,640a6,64b6
O3T
None | 5 5 3,,7c3,a7b3,3 | dataset=solve_erosion group=apply_erosion_tb2 predict=image image_width=small image_height=small task_pixels=a |
simon-image-shape identify places where shape3x3 contains bit 1 | 21 6 a8a37a373a83a93a8a537,a3a7b38b3836b9a737,78a38a57378a76a38a938,357d3a7378363b6a9,b87b3h6b383,38d687835a87635a37 | 21 6 0,d0a101i0a1,g01c01d010,b01d0101b01d0,c0b1f01e0,01l0a101a0 | dataset=shape group=shape3x3_center image_width=large image_height=small |
SIMON-SOLVE-VERSION1, O4T, predict image | I0
6 5 8,9d8,89c8,a89b8,b89a8
O0
6 5 1,,81c8,8,
I1
5 6 678a7,62456,6a956,46576,67676,b6a7
O1
5 6 1c8,1a8a1,1b81,b818,8,
I2
6 5 c858,c859,,c898,
O2
6 5 d18,c181,d81,,8
I3
5 5 a42a3,4a3a4,154a5,a4545,485a4
O3
5 5 a18a1,b8a1,8c1,8,
I4T
4 5 2,,a242,26a2,4262
O4T
None | 4 5 1,,8,81a8,8 | dataset=solve_half group=half_bottom_all8 predict=image image_width=small image_height=small task_pixels=a |
simonsolvev1, O4T, predict image | I0
7 12 41c41,b141a4,1b4b1,a141414,414b14,4141a41,a2a3b2,2,,a232323,a232a32,2
O0
7 6 9b8a98,b898a9,8b9b8,8,9b8b9,9898a98
I1
2 10 4,41,4,41,,32,3,23,2,
O1
2 5 89,,98,,
I2
7 4 a41c4,4,a23c2,a2a3a23
O2
7 2 9,a9a8a98
I3
5 12 c41,a4b1,c41,b141,4a1a4,41b4,32323,232a3,3c2,23232,2b32,a3a23
O3
5 6 898a9,9a8a9,8b98,89b8,b989,8b98
I4T
4 6 a1a4,4,a414,a3a2,2,
O4T
None
I5T
7 6 41a4141,e41,4,a3c23,a3d2,c3232
O5T
None | 4 3 9,,a989 | dataset=solve_bool group=xor predict=image image_width=small image_height=medium task_pixels=a |
SIMONIMAGEEROSION mask when doing erosion tlbr2 | 7 9 3,,36d3,a36c0,b32b3,b324a3,a324b3,312c3,a32c3 | 7 9 0,0d10,0,01d0,,d010,0,d010,0 | dataset=erosion group=apply_erosion image_width=small image_height=small connectivity=tlbr2 |
simonsolvev1 predict image for O3T | I0
1 9 5,,,1,,,,,
O0
1 9 1,,5,,,1,,,
I1
9 2 7a92d7,a72b4703
O1
9 2 2e7a9,b4703a72
I2T
2 10 3,,,39,9,,93,,89,
O2T
None
I3T
10 5 7,a9g7,7,h73,9a7d837
O3T
None | 10 5 e73b7,d8379a7,7,f7a97,7 | dataset=solve_translate group=translate_xminus3yplus2 predict=image image_width=small image_height=small task_pixels=a |
convert simons-arc-image and return the transposed | 22 22 k03h0,j03b01e0,j03a019e0,i03a0109e0,h03a01a09e0,g03a01b09e0,g0301d09d0,f03g09d0,e03h09d0,d03i09d0,,c03p0,b03q0,a03r0,0,,4t0,0,,,, | 22 22 o04d0,0,l03g0,k03h0,j03i0,h0a3j0,g03l0,f03m0,d0a3n0,c03p0,b03a01n0,0a3a01o0,3b01p0,b01q0,a01r0,01c9o0,e0d9j0,0,,,, | dataset=image_deserialize group=flipa image_width=large image_height=large |
Simon-Solve-Version1, 'O5T', predict the image | I0
10 3 80980b9a8,08b597b9,8d72b0
O0
10 3 46c46b4,,4
I1
9 3 0a73b103,7b170167,a07131a06
O1
9 3 46a46c4,e46a4,4
I2
10 3 a2c1a7a0,a252a0c9,a25b9a4a2
O2
10 3 46g4,46c46b4,4
I3
4 9 4a14,4a15,1,5641,51a4,4145,3141,a146,
O3
4 9 a464,4a64,4,,b46,4,46a4,,4
I4
6 7 a15151,1b595,5a15a1,4a19a1,14c1,a14b1,1a5491
O4
6 7 4a6464,46c4,a46a46,46a4a6,a464a6,46c4,4
I5T
3 3 902,a07,0a7
O5T
None
I6T
7 8 2,,a2a09a2,2b9b2,2924242,c2a42,,d242
O6T
None | 3 3 464,4a6,4 | dataset=solve_edge group=edge_bottom_left predict=image image_width=small image_height=small task_pixels=a |
SIMONSOLVEVERSION1 predict image for O2T | I0
7 2 5302050,c6205
O0
2 7 56,36,06,26,02,50,05
I1
2 5 49,79,6,40,0
O1
5 2 47640,a96a0
I2T
5 10 0,,,,,,,,,
O2T
None | 10 5 0,,,, | dataset=solve_rotate group=flipa predict=image image_width=small image_height=small task_pixels=a |
SIMON-SOLVE-V1, 'O3T', predict the image | I0
6 14 0d1,1014a1,a12401,,1204a1,1214a1,2a1410,1014a1,c101,0d1,1010a1,1,0d1,10c1
O0
6 14 9,,,,a95b9,9,d95,95c9,c959,9,b95a9,9,,
I1
12 15 9,i959,h9549,c97c9549,9a6a97a95949,a94a6975a949,c94675a949,e947c9,9,,,,,,
O1
12 15 9,,,,,a95h9,c95f9,e95d9,9,,,,,,
I2
9 6 a12a19b1,16129c1,61a98c1,198e1,9g1,1
O2
9 6 9,,c95c9,a95e9,9,
I3T
14 5 d121a6d1,d1421b6b1,l15,c134g1,f1b3c1
O3T
None
I4T
10 15 a4b2d4,h42,a2a424a2a4,424a24b24,424242b42,2d4c2,a2e4a2,b42c424,2e42a4,a424a2a424,4242a42a42,24b242a42,a2424a2b4,24242a4b2,d424242
O4T
None | 14 5 9,d95g9,l95,c9a5g9,9 | dataset=solve_mass group=mass1_all8 predict=image image_width=medium image_height=medium task_pixels=b |
SIMON-SOLVE-VERSION1 'O5T' predict the image | I0
6 9 7,,,a790a7,b79a7,7,,,
O0
2 10 79,90,,79,,90,79,90,79,90
I1
10 7 7,,c7912b7,c7916b7,c7062b7,7,
O1
3 15 0a9,6a1,262,912,916,062,,916,912,0a9,6a1,262,0a9,6a1,262
I2
5 8 7,b717,a7317,7,,,,
O2
2 10 37,1,71,31,,71,37,1,37,1
I3
9 10 7,,,b7a05b7,b7050b7,b7b0b7,7,,,
O3
3 15 0,050,a05,,050,0,,050,a05,0,050,a05,0,050,a05
I4T
11 8 7,d70d7,d761c7,7,,,,
O4T
None
I5T
9 9 7,,78a34c7,78756c7,74b5c7,753a4c7,7,,
O5T
None | 4 20 54a8,3573,4a53,4564,8a34,8756,4b5,53a4,,4b5,8756,8a34,54a8,3573,4a53,4564,54a8,3573,4a53,4564 | dataset=solve_symmetry group='create_square_symmetry square vstack(cw orig flipy cw cw) padded' predict=image image_width=medium image_height=medium task_pixels=b |
Simon-Image-Dilation mask when doing dilation TRBL2 | 8 8 7a9a0979,7079a7a9,a9790b9,9a719090,c91979,b9091a9,909a7917,090a9b7 | 8 8 0d1a0,1c21a0,b1a2010,01a20201,b102020,a0121201,0a1a2020,a0a101a0 | dataset=dilation group=apply_dilation image_width=small image_height=small connectivity=trbl2 |
SIMON-SOLVE-V1 predict image for 'O4T' | I0
8 9 a984b94,a78a39a7,b7a9a37,979c73,79b79a7,9c7697,764a7a47,a797a969,79476a96
O0
8 9 8,d85a8,5b85b8,8a5b858,d5b8,c5c8,5a85c8,b85c8,a5c858
I1
4 5 a671,a1a7,6171,a171,1b7
O1
4 5 8,,a858,5b8,a5a8
I2
5 10 5a252,525a2,2,15b2,b252,a5b2,a1215,51a25,212a1,a5252
O2
5 10 8,8b58,58a58,a8a58,8a5a8,b858,a85a8,8,a85a8,8
I3
5 9 c09,,040a9,a04a9,b0a9,,a0909,a0949,a0909
O3
5 9 8,b5a8,58a58,85858,5a858,a5858,b5a8,5c8,
I4T
9 3 86b8a1a8,a8b1b85,f786
O4T
None
I5T
5 4 b048,7a475,4a751,a65a4
O5T
None | 9 3 8,85a858a58,8 | dataset=solve_edge group=edge_top_right predict=image image_width=small image_height=small task_pixels=a |
simon-solve-v1 predict image for 'O4T' | I0
14 12 61c6a1b61a6,d6d81b6,b616d8c6,161a6d8b61,g2a861a6,g2a8c6,g2a81b6,g2a8c6,g2a8b61,g2a86161,a61a6d8a616,d6d86a16
O0
14 12 7,,,,d7b9e7,,,,,,7,
I1
12 8 1b61d616,6j8,,,6b8e2a8,1j8,,f61a6a1
O1
12 8 7,,,,c7e9a7,7,,
I2
13 9 j2a8,,,,,,8,,e6a1a61a6
O2
13 9 j9a7,,,,,,7,,
I3
7 11 1a6b86,,,6e2,,,b6b86,,,a61b81,b1b86
O3
7 11 7,,,b7b97,,,7,,,,
I4T
11 8 8,,b8b2d8,,,,,8
O4T
None
I5T
8 10 a61b616,61a61b6,6,c61b6,,a8d28,,,,b61c6
O5T
None | 11 8 7,,b7b9d7,,,,,7 | dataset=solve_zindex group=mask_of_intersection_rectangle predict=image image_width=medium image_height=medium task_pixels=c |
SIMONSOLVEVERSION1 'O3T' predict the image | I0
10 5 g565,3b5353a93,53f56,6c535453,5c1a4b5
O0
10 5 3,5e3a53,35g3,3,
I1
4 1 74a7
O1
4 1 a3a5
I2
9 13 50a650635,636a56306,56063b56,630b65a3,6565b050,a305b065,356505605,b60d6,06503a650,a6065b60,a0a535650,5605050a6,03b60636
O2
9 13 e3a53,d3a535,a35d35,a35c3a5,3,,,,,,,,
I3T
14 7 872989e598,a8a72898a58258,898c25859528,8a2b81819a828,b8a989598a595,89a895a81585a9,898a9c8a9581
O3T
None | 14 7 c3a5g3,d3a5f3,3,,,35k3,35f3a5b3 | dataset=solve_mass group=mass2_all8 predict=image image_width=medium image_height=medium task_pixels=a |
Simons-ARC-Image-Shape shape3x3 histogram all9 number of unique colors | 29 25 a6a909a60c6c96969a60b9a6,a96b9h6096a9a6c9a69,6a96b9696a9a60c9a6a96b9a6,a960f9a6a9a6969a090906a9,a6c96a96e96b96a96d9,c9a09a6969a6b969a60c90a9,6a069606c90b9b6d960909,c969a6b906a96a9a696a90a969,a69a6c96a96a90b9b60a96a96,d90a9606c9a6a90d9a6a9,c960a9a6096f90696a96a9,6b969690c96d9a06a9a6a96,0b9a6d9690b9b696906a969,096906a9a6b909690c96b96a9,96a90c9b696f96e90,g9b69a6h96d9,6b9690b909a090g96c9,a9696a960d6a9a69a0909690a9,a96a9096a909696g9a6a969,696a96b96e9a6960b96c9,a96a96a9b6i960b96a9,a90g969696h9a696,b90c96b9a69a690e9a6a9,e9609690f9a6f96,d969090a9a6b9090f969 | 29 25 b2323c2a1a2b3d2a3d2,b2b32b3b2c3d2b3c2,a2b3g2c3a2g3a2,a2b3g2b3b2g3a2,a2a32a3k2h31,g3b2b3e2b32a3b2,g3a2c3e2h3,c32b3a2f3c2g3,c2b32d32b32d32a3b2,c2a3a2c3a2b32e3d2,a212g3g2a3f2,a312j31a2f3c2,a32b32b3a2b32h3c2,a32b3e2b32b3b2b3a2a3,a32b3e2b323a21f232,b2b3232e3a2b1e21a2,d2k323b2a323a21,c2l323b2a32b32,c2g3e2b32a32b32,c2b3a2b3f2d3d2,2b3n2d3d2,1c3k23b2a3e2,1d2b32b3c2b3a2a1d2,a1a232f3b2d32a1d2,c1a2f3a21a2b32c1b2 | dataset=shape group=shape3x3_histogram_all9 image_width=large image_height=large |
simonsolvev1 predict image for O4T | I0
7 9 c61a6,10b1a6,0a81686,a60a616,a6861a0,8a161a6,1d61,1a608a0,b680a6
O0
7 9 9101818,a9a80a8,9a60861,a968160,98a1616,a969608,91a9080,b96a96,9
I1
9 7 b68658a6,086856706,a808687a6,b6a06b0,60a8686a0,a8a060806,a68e6
O1
9 7 9086a8670,a98080870,9b6a06a0,a90a80868,986a06086,9a689b69,9
I2
6 4 138131,3136a3,1b363,313868
O2
6 4 a91363,b9396,a91986,9
I3T
13 11 8a280208a02a0,8a08c0806a0,f0a76070,d0a7686270,c078086a8a0,0a8a08a260a87,02b0206a8b2,08b02628a2a0,d0b82a080,8a02a82b08a0,a0a4a20a2b08
O3T
None
I4T
9 14 c10c1,,,,d10b1,,,,1,,,,,
O4T
None | 9 14 c91b09,c91a090,c9109a0,c919b0,d91b0,d91a09,d910a9,d91b9,9,,,,, | dataset=solve_probecolor group=probecolor_bottomleft predict=image image_width=medium image_height=medium task_pixels=b |
SIMON-SOLVE-VERSION1 'O4T' predict the image | I0
18 10 c4e1a5e4,,c1m4,,4,,,,c4a5e4a5c4,
O0
9 5 a4b15b4,a1f4,4,,a45b45a4
I1
10 8 c0e6,,a2a6e0,,a2g0,,a0a2e0,
O1
5 4 a0b6,26b0,2c0,02b0
I2
8 8 3,,a6a3a5a3,,a6a8a4a6,,a3a4a7a3,
O2
4 4 3,6353,6846,3473
I3
8 2 a0c9a0,
O3
4 1 0a90
I4T
2 6 4,,3,,,
O4T
None
I5T
6 8 5,,,,a0a6a5,,c5a6,
O5T
None | 1 3 4,3, | dataset=solve_scale group=x2down_y2down predict=image image_width=medium image_height=small task_pixels=a |
simon-cellular-automaton, Recognize the transformation between input and output. serviettes_nowrap,maze_nowrap,gameoflife_nowrap | 26 12 a18181a818i1c818,h1a8c1a8181a8c1,f1818d1a8c18b18,c1a818181818i181,b18a1a8b18181a8f181,b18a1a8a18181b818f1,e1818d1b8h1,c181a8b1a81a8i1,c1b8a1818a18i18,g18i18d18,c1b8c18l18,c181818g1a818a1818
26 12 s1b8b1,s1a8c1,1,,e1a8f18i1,e1a8e1b8h1,,d1b8e1a8i1,d18s1,,,d1a8r1 | serviettes_nowrap=0,maze_nowrap=0,gameoflife_nowrap=0 | dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=large image_height=medium |
SIMONSARCIMAGEPAIR, number of colors that the 2 images have in common | 17 5 0n72,0706a27a20a7d2,a7046b270420a270,a27a262727b27a24,b2a026b24e2
10 2 g949,94b9d4 | 1 | dataset=image_pair group=number_of_intersection_colors image_width=medium image_height=small |
SIMONSARCIMAGEDILATION dilation mask LR2 | 12 11 1a9h4,1a4a9a7a9b4,41404a5a7b9,51405454b54,515b45b405,4140a41a5b4,a414a145a454,47a1454a5b4,a15c4b545,4504b5a45a4,a545a404a545 | 12 11 c1g0,i1a0,1c2d1a0,1f210a1,1a2101210121,1b2a12b1a0,01a2a1a2a121,12a1b2b1a0,0121a0a10121,1b210b1210,01a2a1a2a121 | dataset=dilation group=apply_dilation image_width=medium image_height=medium connectivity=lr2 |
SIMON-SOLVE-VERSION1 'O6T' predict the image | I0
3 10 4,,,,458,457,574,474,7a4,
O0
3 10 8,868,,8,,,,,,
I1
10 6 6,,c6e8,6,,
O1
10 6 8,8a6f8,,,8g68,8
I2
8 9 5,,,,,,,,
O2
8 9 8,8e68,,,,,,,8
I3
9 10 9,,a5f9,95a4d9,95823c9,98a93c9,5893d9,58f9,8g9,
O3
9 10 8,b8d68,d8b68,e8a68,,,,d8b68,b8d68,8
I4
10 4 a6g9,a96f9,9,
O4
10 4 8,c8d68,,8
I5T
10 8 d24c2,d2428a2,a2a841b32,a2514b248,8252482482,2824b2b4,b24d21,828d271
O5T
None
I6T
10 9 d26c2,d264b2,d2645a2,d2624a2,d2634a2,d26a242,a29f2,b29e2,
O6T
None | 10 9 8,8b6e8,,,,8,,d8c68,8 | dataset=solve_outline group=outline_all8 predict=image image_width=small image_height=small task_pixels=b |
Simon-Image-Symmetry make symmetric hstack(flipy flipy flipx) | 19 15 8b178b1a8d18a1,a18b18g1a8a1,g181a818181a8,b18a189b18c1b8,8d12898b18d1,b17b1a2a9c18b1,a181a8b1a2917b8a1,a817a17a17129a1a818,a1718a17a8a1a29a181,8a171b8a1b81a28a1,c17a18e171281,a1a818a18a17b1a8a1,a187b18b18d181,k18b17a1,e1781817a18c1 | 57 15 e1781817a18i1781817a18e18d1a8b187b18,k18b17m18b17c1a8g18b18a1,a187b18b18d18b187b18b18d181a818181a818g1,a1a818a18a17b1a8c1a818a18a17b1a8a1b8c18b198a18b1,c17a18e17128d17a18e17128e18b18982d18,8a171b8a1b81a28a18a171b8a1b81a28d18c1a9a2b17b1,a1718a17a8a1a29a18b1718a17a8a1a29a18b1b8719a2b1a818a1,a817a17a17129a1a81b817a17a17129a1a81a81a8a19217a17a171a8,a181a8b1a2917b8c181a8b1a2917b8b18a19a2a1a87a1817a1,b17b1a2a9c18e17b1a2a9c18d18a21b8a1b817a18,8d12898b18d18d12898b18e18217e18a17c1,b18a189b18c1b8b18a189b18c1b8a1a8b17a18a181a8a1,g181a818181a8g181a818181a818d18b18b178a1,a18b18g1a8c18b18g1a8c17b18k1,8b178b1a8d18a18b178b1a8d18e18a1718187e1 | dataset=symmetry group=symmetry image_width=medium image_height=medium instruction_sequence='hstack(flipy flipy flipx)' |
SIMON-SOLVE-V1 predict image for O5T | I0
10 5 h38,3,8h3,3,c38d3
O0
10 5 0,a0e6a0,a0f60,a06b0b60,0
I1
10 6 b1a85c1,1c5b8a1,10a41d5,10g1,0h1,1
O1
10 6 0,,,,b0e60,0
I2
9 10 0,e0b8,a0a5a86a0,050a6c0,b058c0,,c05c0,,,0
O2
9 10 0,,,,e0a60,06c0a60,,0a6b0a60,,0
I3
10 9 545a4a54a5,5,545f2,c54c54,4e54a5,e54545,c5a4c5,,454b54b5
O3
10 9 0,,,,a06f0,,0a6f0,g060,0
I4
6 5 c707,70b70,b7b0,b7070,b7b0
O4
6 5 0,,,06c0,0
I5T
6 8 60a696,369a36,a63b6,d60,9d6,9b696,6,06a960
O5T
None
I6T
8 8 b20c2,,a20c29,a20a2a49,20a242a0,2024a0a2,04a5c2,4b25b2
O6T
None | 6 8 0,,,,a06b0,,0, | dataset=solve_outline group=outline_all8 predict=image image_width=small image_height=small task_pixels=b |
SIMONSIMAGEMASS max mass 7, connectivity trbl2 | 15 6 9,,f98f9,e9a3a8d9,h93a8b9,9 | 15 6 1,,,,, | dataset=mass group=max_mass image_width=medium image_height=small connectivity=PixelConnectivity.TRBL2 max_mass=7 |
simon-histogram, perform minus | 8:1496,6:1448,4:1087,0:871,3:761,1:289,5:266,2:200,9:98
7:647 | 8:1496,6:1448,4:1087,0:871,3:761,1:289,5:266,2:200,9:98 | dataset=histogram_two group=subtract histogram_size=d |
simonsolvev1 predict image for O3T | I0
15 12 06c06b76b76,,,,,,6,2e6b26b26,,,,
O0
4 2 a262,a7a0
I1
10 17 b06967616,,,6,b16962696,,,6,c6162606,,,6,b16969616,,,,
O1
4 4 1a91,0216,9291,1790
I2T
9 10 96e36,,,,,6,36e96,,,
O2T
None
I3T
16 5 c56a26d7656,,6,c26a76d7b6,
O3T
None | 4 2 6a72,5725 | dataset=solve_grid group=extract_content_from_grid_180 predict=image image_width=medium image_height=medium task_pixels=b |
SIMONSOLVEVERSION1, 'O4T', predict the image | I0
9 17 3,,9a39a39a3,,3,,9a39a39a3,,3,,9a38a38a3,,,3,,9a39d3,
O0
9 17 3,,b39a39a3,,3,,8a38a39a3,,3,,9a39a39a3,,,3,,9a39a39a3,
I1
12 12 3,,b0a34a3a0a3,,,3,,d30a3a0a3,,3,,b4a30a3a6a3
O1
12 12 3,,b6a30a3a4a3,,,3,,b0a30e3,,3,,b0a34a3a0a3
I2
12 6 3,,a9a3a9a3a4a3,3,,c3a1a3a4a3
O2
12 6 3,,a4a3a1e3,3,,a4a3a9a3a9a3
I3
14 12 3,,a8a3a5a30a30a3,,3,,a7a3a5a36a36a3,,3,,a9e39a38a3,
O3
14 12 3,,a8a3a9d39a3,,3,,a6a3a6a35a37a3,,3,,a0a3a0a35a38a3,
I4T
12 14 3,,7a3a8a3b7a3,,3,,8a3a8a3b8a3,,3,,8e3b7a3,3,,1a3a1a3b8a3
O4T
None | 12 14 3,,8a3a1a3b1a3,,3,,7e3b8a3,,3,,8a3a8a3b8a3,3,,7a3a8a3b7a3 | dataset=solve_grid group=mutate_content_inside_grid_180 predict=image image_width=medium image_height=medium task_pixels=c |
SIMONSIMAGESYMMETRY apply symmetry vstack(flipx flipx flipy 180 orig) | 2 20 6,75,,72,,,71,,,,87,,,57,,67,,57,97,62 | 2 100 6,57,,27,,,17,,,,78,,,75,,76,,75,79,26,6,57,,27,,,17,,,,78,,,75,,76,,75,79,26,62,97,57,67,,57,,87,,,71,,,,72,,,75,,6,26,79,75,76,,75,,78,,,17,,,,27,,,57,,6,,75,,72,,,71,,,,87,,,57,,67,,57,97,62 | dataset=symmetry group=symmetry image_width=small image_height=medium instruction_sequence='vstack(flipx flipx flipy 180 orig)' |
SIMON-SOLVE-VERSION1 'O4T' predict the image | I0
10 7 2321e2,2b31c24,4923214232,a5a9321b2,2f1a2,32a3b5912,234d2a9
O0
7 10 9c242,91a23a2,291c2,25a14a2,25121a2,2513212,2319a31,4319232,32159a3,23254a2
I1
7 6 949a1a5,9a140a9,194c9,0b9040,a9a0909,9a49a49
O1
6 7 a90a95,404a95,490901,90a941,409419,4b914,a901a9
I2
6 7 a13b6,61a363,b1a61,6131a6,61c6,b6416,6463a6
O2
7 6 c6136,61d6,3461636,b631a3,46d1,c6161
I3
7 9 a2a73a0,74234a2,27327a2,a23b24,23b242,a424a72,27c47,a242b4,b24274
O3
9 7 a47a24a20,7a474b20,2a47a2743,42a4b237,2a4a2a327,a27432742,b24b272
I4T
9 10 2g3,2c34b3,2b34c3,2a34d3,234e3,834e3,84f3,4g3,3,
O4T
None
I5T
10 5 43b41b43,b4b13434,3a14b6b8,13a40a80a4,4b0c8a4
O5T
None | 10 9 3,,,g343,f34a3,e34b3,c3a4c3,b34e3,a34a8d2 | dataset=solve_rotate group=flipb predict=image image_width=small image_height=small task_pixels=b |
SIMON-SOLVE-V1, O4T, predict image | I0
7 1 a679b7
O0
7 1 b7a679
I1
1 11 5,,3,,,,,,,,0
O1
1 11 3,,,,,,,,0,5,
I2
11 3 4,,
O2
11 3 4,,
I3T
3 4 313,312,028,723
O3T
None
I4T
4 2 a454,4a05
O4T
None | 4 2 45a4,a054 | dataset=solve_translate group=translate_xplus3yminus2 predict=image image_width=medium image_height=medium task_pixels=a |
SimonCellularAutomata, What transformation happens here. cave_nowrap,gameoflife_nowrap | 26 13 d91c919a1a91a9a19c1,c91g9c1f919,c9191p919,a1a919a1h9a1b9c1,91n9a19a1b91,91j919a19c1b91,191c9a1d9b1d919a1,a1c9b1e91e9a1a9,1j91i9b1,1i9b1j91,e91d91l9,e91f9a19b1e9,91b91c91a919a19a1a91919
26 13 c91e91a9a191b91c9,b919a1c9a1c919c1a91,a191b91d9e1b91a91,a9a191i91a9b1c9,191a9b1e9b1d9a1a9,191c9a1d91f9b19,e91a91b91b9d191a9,a91e91b9a191c91b91,91c9b1a919a1f91b9,91t9a19,d9191b919f1e9,d9191b9b1a91b91a91a9,e91f91a91a91a91a9 | cave_nowrap=0,gameoflife_nowrap=0 | dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=large image_height=medium |
SimonsArcImageSymmetry symmetry 2x2(orig orig 180 180) | 10 7 6567575756,b57b56a5,b5656c5,b5b6b56,a5b6a7b5,65a6a56b5,a57a65a6a5 | 20 14 656757575a6567575756,b57b56d57b56a5,b5656f5656c5,b5b6b56b5b6b56,a5b6a7d5b6a7b5,65a6a56b565a6a56b5,a57a65a6c57a65a6a5,a5a65a67c5a65a67a5,b56a5a656b56a5a656,b5a7b6d5a7b6a5,6b5b6b56b5b6b5,c5656f5656b5,a56b57d56b57b5,657575765a6575757656 | dataset=symmetry group=symmetry image_width=small image_height=small instruction_sequence='2x2(orig orig 180 180)' |
SIMONSOLVEV1 predict image for O4T | I0
8 9 2a942924,94a29a42,b242949,29b2a42,29a24249,c24943,a2a42904,92a94a04,a24a2429
O0
8 9 e070,f07,0,07e0,,d07a0,,a0a7c0,b0a7b0
I1
8 6 51915105,520a1915,1259a151,e591,15a05915,105150a5
O1
8 6 7f0,a7e0,07e0,e070,7c07a0,7f0
I2
11 9 714b171b7,a7a17147b1,7c147b17,a715a74b71,17514a179a1,12141319a71,a1273797a17,17131791b4,a4a179a8417
O2
11 9 0,,,b07f0,a0707e0,0707f0,a07g0,0,a7c0a7b0
I3
10 14 a5a1513a15,a53c1b5,a5c1a310,1513b1501,5a15131305,151a513015,b5a1301a5,a181530a51,519830c1,1593803135,a3930815a1,5390a18a51,a190135131,1395151a51
O3
10 14 0,,e0b70,h07,0,g070,f07a0,0,7h0,07g0,0,,f07a0,e07b0
I4T
9 14 g38,3837d3,38a3817a3,a38e3,a38737583,a38b4538,7384d6,a1a8464a3,373846831,8a484b38,b3834a83,8b384b3,c383437,31c3413
O4T
None
I5T
10 9 3a039c03,b0a303a09,3093030a39,a0303a0309,b039b039,a03c0309,930303a039,e09309,3b0a30309
O5T
None | 9 14 0,,,,e0a70,e0707,0,a7f0,0,0a7e0,0,,, | dataset=solve_mass group=mass2_all8 predict=image image_width=medium image_height=medium task_pixels=b |
Simons-ARC-Image-Erosion erosion mask with connectivity ALL8 | 17 11 d6565b65d6,d65j6,c65k6,g65b65c6,g65b65b65,g65g6,f6565f6,b6a5a65b65d6,6,,f65h6 | 17 11 0,0a1e01b0b10,0a1f01b0a10,0a1b01b01b01a0,0e1b01b01a0,0d1g01a0,01j0b10,,01f01b0b10,0d1b0f10,0 | dataset=erosion group=apply_erosion image_width=medium image_height=medium connectivity=all8 |
Simon-Solve-V1 predict image for 'O4T' | I0
14 12 3,j39a3,i391a3,i39313,h39a313,g39b313,f364b313,d3a634c31,a3b6b346b31,a6c3a24a3a03,h3a0b3,g30d3
O0
14 12 7,,,,,,,,,e7a8e7,7,
I1
11 3 d1a6c1,f9a0a1,c1c4b1
O1
11 3 d7a8c7,f7a8a7,7
I2
6 7 034b0,b06a0,d06,b4130,a40b1,60b40,c1a6
O2
6 7 7,,,,a78b7,78c7,c7a8
I3T
3 6 0a4,0a3,0a4,204,407,404
O3T
None
I4T
8 15 c79497,a9a794a7,a9a743a9,79794a97,7a943a97,7a943a69,a74a6909,9a43a909,8a93a707,7a83b90,97989a70,c98a90,7c9a80,97a9a790,a9b7979
O4T
None | 8 15 c78b7,,7,f78,c78a78,c78b7,7,,c7a8a7,8f7,78b7a87,7,,, | dataset=solve_mass group=mass2_all8 predict=image image_width=medium image_height=medium task_pixels=b |
Simon-Solve-Version1 predict image for O3T | I0
13 10 2d323b2a3,b2b3a232323,a323c2323a2,3a2i4,a32i4,232i4,23232a3c2a3,23c23c232,a2a32a3a23b2,3a2d3d2
O0
13 10 4,,,b4i1,,,4,,,
I1
10 15 2,c23b232,2c3b232,3a2b43b2,a23b4c2,323b423a2,b2b4a3a2,b2b42a32,3a2b4c2,b2b4a232,3a2b43b2,b2b423a2,232b4c2,b2b4c2,232b4b23
O1
10 15 4,,,b4b1c4,,,,,,,,,,,
I2
15 15 2,a23k4,,b2k4,,3a2k4,b2k4,a23k4,a32k4,3a2k4,232k4,,a32k4,,j2a3a2
O2
15 15 4,b4k1,,,,,,,,,,,,,4
I3T
15 8 3l43,2l43,2l42,,3l43,3l42,3l43,2l43
O3T
None
I4T
8 12 323d2,d2a32,23a23232,4,,,,,,d23a2,b23c2,3b23b2
O4T
None | 15 8 4l14,,,,,,, | dataset=solve_zindex group=mask_of_primary_rectangle predict=image image_width=medium image_height=medium task_pixels=c |
simon-arc-image-symmetry Symmetry vstack(180 orig flipy flipx) | 26 22 95a9b2a9a2a969259c29262,b252629d292b96c2929,25295926b29d259a29a295,a9b2a9d2a9a25a92529292,9a26a23d25f29a2a92,f2329h2a62a925,2a62b923b25a9g2952,g23b2962a6a921629a2,2a9a29b23a96b9c21d2,f29a235b29c2195a25,25b2a6a262326c2912929a2,b26b26c239b29216b292,a2b9a292592329c21e2,e29b2a923929a21962a92,e295a26292329a21a252a9,a9295b29a2a9b25a269a2929,e25a25b92a9f2a52,5a2b92a9b26a259c252952,9g262656926a29e2,q29b2a9a2,26b92929b2929a29c2a9a2,h262629a292929d2 | 26 88 d292929a292626h2,a2a9c29a2929b29292b962,a2a9b29q2,e29a262965626g29,25925c295a26b2a92b9a25,2a5f2a92b95a25e2,929a296a25b2a9a29b2592a9,a925a21a29232926a259e2,2a92691a292932a9b29e2,e21c292329529a2b9a2,29b26129b293c26b26b2,a2929219c262326a2a6b252,5a2591c29b253a29f2,d21c2b96a93b29a2a92,a292612a9a6269b23g2,259g2a95b232b92a62,52a92a6h2923f2,2a9a29f25d23a26a29,2929252a95a2a9d2a9b2a9,59a29a295d29b262959252,929c26b929d292625b2,2629c295296a9a2a9b2a959,95a9b2a9a2a969259c29262,b252629d292b96c2929,25295926b29d259a29a295,a9b2a9d2a9a25a92529292,9a26a23d25f29a2a92,f2329h2a62a925,2a62b923b25a9g2952,g23b2962a6a921629a2,2a9a29b23a96b9c21d2,f29a235b29c2195a25,25b2a6a262326c2912929a2,b26b26c239b29216b292,a2b9a292592329c21e2,e29b2a923929a21962a92,e295a26292329a21a252a9,a9295b29a2a9b25a269a2929,e25a25b92a9f2a52,5a2b92a9b26a259c252952,9g262656926a29e2,q29b2a9a2,26b92929b2929a29c2a9a2,h262629a292929d2,,26b92929b2929a29c2a9a2,q29b2a9a2,9g262656926a29e2,5a2b92a9b26a259c252952,e25a25b92a9f2a52,a9295b29a2a9b25a269a2929,e295a26292329a21a252a9,e29b2a923929a21962a92,a2b9a292592329c21e2,b26b26c239b29216b292,25b2a6a262326c2912929a2,f29a235b29c2195a25,2a9a29b23a96b9c21d2,g23b2962a6a921629a2,2a62b923b25a9g2952,f2329h2a62a925,9a26a23d25f29a2a92,a9b2a9d2a9a25a92529292,25295926b29d259a29a295,b252629d292b96c2929,95a9b2a9a2a969259c29262,2629c295296a9a2a9b2a959,929c26b929d292625b2,59a29a295d29b262959252,2929252a95a2a9d2a9b2a9,2a9a29f25d23a26a29,52a92a6h2923f2,259g2a95b232b92a62,a292612a9a6269b23g2,d21c2b96a93b29a2a92,5a2591c29b253a29f2,a2929219c262326a2a6b252,29b26129b293c26b26b2,e21c292329529a2b9a2,2a92691a292932a9b29e2,a925a21a29232926a259e2,929a296a25b2a9a29b2592a9,2a5f2a92b95a25e2,25925c295a26b2a92b9a25,e29a262965626g29,a2a9b29q2,a2a9c29a2929b29292b962,d292929a292626h2 | dataset=symmetry group=symmetry image_width=large image_height=large instruction_sequence='vstack(180 orig flipy flipx)' |
Simon-Solve-Version1, 'O5T', predict the image | I0
5 2 0c8,c80
O0
3 2 0a8,a80
I1
2 6 61,,71,1,,
O1
2 3 61,71,1
I2
5 6 b2a1,2,,,,a26a2
O2
3 3 a21,2,262
I3
6 2 69b50,65b97
O3
4 2 6950,6597
I4T
2 5 42,,14,19,92
O4T
None
I5T
5 4 2,,7c2,2
O5T
None | 2 3 2,72,2 | dataset=solve_compress group=compressxy predict=image image_width=small image_height=small task_pixels=a |
Simon-ARC-Image-Shape identify places where shape3x3opposite contains bit 2 | 27 6 7070d70e70a707370b7,c7070d707b0a70a730b7,d7b0a70j73b70,7b0a7070c7a0a7070b73b0,h70a707b070d7070,d7070g70a7070707a0 | 27 6 0,010b1a0b10b10a10101a0a10,0101a010101010e1b01b0,0b1b0a1a0a101b01010c10,b0a1c0b1a0a1b0101a01a0,0 | dataset=shape group=shape3x3_opposite image_width=large image_height=small |
Simon-Solve-V1, 'O4T', predict the image | I0
9 11 4,,,,,c4a7b4,d47b4,4,,,
O0
10 2 4b74d7,b74a74a74
I1
6 9 4,,,,4a6b4,486b4,4,,
O1
10 2 8b68d6,b68a68a68
I2
9 4 4,a4a2d4,a425d4,4
O2
10 2 b25d25,5b25a25a2
I3
10 9 4,,,,d49a124,d491254,d4a1294,d4c14,4
O3
20 4 a1a9259b1b9a1a2591,d1a2d191251a21,1a2e1a2b129c1,1952a9b1952c1a9a1
I4T
6 12 4,,,,,4a9b4,46c4,4,,,,
O4T
None
I5T
8 13 4,,,,a4c5a4,a48313a4,a4a3a8a4,a43a18a4,4,,,,
O5T
None | 10 2 6a946c94,4a96496496 | dataset=solve_symmetry group='create_square_symmetry square hstack(cw ccw cw orig ccw) padded' predict=image image_width=medium image_height=medium task_pixels=b |
SIMONSOLVEVERSION1, 'O5T', predict the image | I0
3 6 262,4a2,426,846,,824
O0
3 6 426,846,8a4,524,,5
I1
5 7 a83a8,813a8,a81a8,a8198,a8319,a8a18,a4181
O1
5 7 4a1a9,481a9,a43a9,a4319,a41a8,a4581,5
I2
6 4 362192,2a1692,d29,
O2
6 4 2a1629,5c29,5,
I3
4 4 3272,a7a2,69a2,9296
O3
4 4 a726,6a96,9296,5
I4T
5 5 27a37,78273,9a272,7a927,82717
O4T
None
I5T
12 3 a3e8a313,a8a3a0b8314,328d4b04
O5T
None | 12 3 a8a3a0a48a04,328d4b05,5 | dataset=solve_probecolor group=probecolor_bottom predict=image image_width=medium image_height=small task_pixels=a |
Two images of type simon-arc-rle-image-pair, add histograms | 13 1 c8f4a2
1 2 1, | 4:7,8:4,1:2,2:2 | dataset=image_pair group=add_histograms image_width=medium image_height=small |
Rotate ccw Simons-ARC-Image | 4 21 7a98,9797,9,7a97,7b9,98a9,9,a9a7,86a7,96a9,a967,7949,8949,a946,9874,b94,9764,a954,a979,9797,b79 | 21 4 8797b9a797a96c4979,f9a796b47965797,97b98a9a6c9897a9a7,7a9a7b98a978f97 | dataset=image_deserialize group=rotate_ccw image_width=small image_height=large |
cw rotate simons-arc-image | 5 15 0,,6c0,,,,,,06b0,,,,,0, | 15 5 f0e6a0,a0d6g0,0,, | dataset=image_deserialize group=rotate_cw image_width=small image_height=medium |
SIMON-SOLVE-V1, 'O2T', predict the image | I0
10 7 48a4c8a4,8d4b84,8484848484,484a8484a8,d8a4848,4c8a4b8,84a84848a4
O0
5 7 04040,c04,0,4,a0404,40b4,b404
I1
12 7 a84c8a48a4,4c84c8a4,a84c8a4b8,84g8a4,a84f848,84i8,d84a84b8
O1
6 7 40a4a0,0b404,40c4,40a4a0,a40404,40c4,a40a40
I2T
6 2 c848,4d8
O2T
None
I3T
4 5 8484,b84,8,84a8,8b4
O3T
None | 3 2 404,0a4 | dataset=solve_bool group=xor predict=image image_width=medium image_height=small task_pixels=a |
Simons-Image-Scale, Given two images, recognize the transformation. x2up_y1,x2up_y2down,x3up_y1 | 1 22 7,,,,4,,,,,,,,,,,,7,,,,,
2 11 7,,4,,,,,,7,, | x2up_y1=0,x2up_y2down=1,x3up_y1=0 | dataset=scale group=recognize_transformation image_width=small image_height=large scalex=up2 scaley=down2 |
SIMON-SOLVE-V1 predict image for O3T | I0
22 24 c0202e02b02c0,2,c0202e02b02c0,,,2,c0202e52b02c0,,,,,2,c0202e4d2c0,,,,,2,c0202e02b02c0,,,,,
O0
5 5 0,,045a0,02b0,0
I1
26 18 e92e92d92e9,,,,,,2,e92e92d92e9,,2,e92e9f2e9,,,,,,2,e92e92d92e9
O1
4 4 9,,92a9,9
I2T
11 4 e62c3,2,e32c5,
O2T
None
I3T
15 10 d827202d4,,,,2,d9b272d0,,,,
O3T
None | 2 4 98,27,70,04 | dataset=solve_grid group=extract_content_from_grid_cw predict=image image_width=large image_height=large task_pixels=c |
simon-solve-version1 predict image for O3T | I0
15 2 f62a65c6,65b65625b6565
O0
7 2 a15c1,a5a1b5
I1
13 2 c6562a5c6,a5c62c6a5
O1
6 2 a5a151,a5a1a5
I2T
9 7 b652c5,5b625656,5a6526565,a6a52a656,b6525b6,5a652a656,5a65256a5
O2T
None
I3T
11 7 d626a565,5b652d6,c6525a656,d62b6a5,a65a62c56,a6b52b656,d62a6a56
O3T
None | 5 7 1a515,5b15,5a1a5,b1a5,a5151,a1515,a1a51 | dataset=solve_bool group=xor predict=image image_width=medium image_height=small task_pixels=a |
SIMONSOLVEVERSION1 predict image for O2T | I0
6 5 26a257,6a5a72,297b2,67c2,2
O0
6 5 9,,d91,b9b1,9
I1
5 5 b252,b2a3,2,,23932
O1
5 5 9,b1a9,,1b91,9
I2T
5 5 72b4,4,47a47,4,42424
O2T
None | 5 5 9,a9a19,19a19,191a9,9 | dataset=solve_erosion group=apply_erosion_tb2 predict=image image_width=small image_height=small task_pixels=a |
Flip-B Simons-ARC-Image | 4 18 4,0a45,4045,a405,4045,b45,0405,0a45,a405,0405,a405,b45,4045,b45,0a45,,0405,0a45 | 18 4 p54,40d4b040a40b4,d40f4040a4,c0c404a0c404 | dataset=image_deserialize group=flipb image_width=small image_height=medium |
simonsolvev1, 'O3T', predict the image | I0
3 3 9,,
O0
1 1 9
I1
3 3 a82,,a87
O1
2 2 82,87
I2
3 6 9a7,,7a0,317,717,787
O2
3 5 9a7,7a0,317,717,787
I3T
6 2 4,c1a4
O3T
None | 2 2 4,14 | dataset=solve_compress group=compressxy predict=image image_width=small image_height=small task_pixels=a |
SimonsHistogram maximum | 2:1546,3:1525,5:393
6:1489,7:1076,8:994,9:758,4:735,0:677,2:620,3:562,5:378 | 2:1546,3:1525,6:1489,7:1076,8:994,9:758,4:735,0:677,5:393 | dataset=histogram_two group=max histogram_size=e |
simonsolvev1 'O5T' predict the image | I0
12 12 5,c5a8c4a5,,c5c8a4a5,,c5c4a8a5,,5,,,,
O0
36 36 c8z4d4,,,,g8z44,,,,g4c8w4,,,,c8g4c8s4,,,,g8c4g8o4,,,,g4c8g4c8k4,,,,w4c8g4,,,,w4g8c4,,,,z4d4c8,,,
I1
15 12 5,,,,,d5e4c5,,d5a4a8a4c5,,d5e8c5,,5
O1
36 36 4,,,,,,,,,,,,,,,,o4c8o4,,,,k4k8k4,,,,4,,,,c4c8g4c8g4c8c4,,,,8,,,
I2
12 6 5,5a8a4c8b5,,5c4a8a4b5,,5
O2
64 16 c8c4g8o4c8c4k8c4g8,,,,g4c8z44c8k4c8c4,,,,z4d4c8c4g8o4,,,,z4l4c8s4,,,
I3
14 13 5,d5a8a4d5,,d5c8d5,,d5a4a8d5,,d5c4d5,,5,,,
O3
16 64 c8k4,,,,g8g4,,,,c4c8g4,,,,4,,,,c8c4c8c4,,,,8,,,,c4c8c4c8,,,,4,,,,g4c8c4,,,,g4g8,,,,k4c8,,,,4,,,,,,,,,,,,,,,,,,,
I4T
16 8 5,d5c4a8d5,,d5a8a4a8d5,,5,,
O4T
None
I5T
13 9 5,,d5a8a4a8a5,,d5c4a8a5,,d5a4a8a4a5,,5
O5T
None | 36 36 c8c4c8k4c8c4c8,,,,g4c8s4c8,,,,c4c8s4c8c4,,,,w4c8c4c8,,,,z4d4c8,,,,z44c8c4,,,,k4c8c4c8k4,,,,s4c8k4,,,,o4c8o4,,, | dataset=solve_fractal group=pattern_to_fractal predict=image image_width=other image_height=other task_pixels=e |
simon-solve-version1 'O3T' predict the image | I0
2 5 72,12,50,,80
O0
2 4 72,12,50,80
I1
3 4 647,,767,6a7
O1
3 3 647,767,6a7
I2
4 2 b18,1b8
O2
3 2 a18,1a8
I3T
6 2 a5a186,b2815
O3T
None
I4T
6 4 6,,,
O4T
None | 5 2 5a186,a2815 | dataset=solve_compress group=compressxy predict=image image_width=small image_height=small task_pixels=a |
Simon-Solve-V1 predict image for O4T | I0
13 3 a39a3925d9,93a92f89,9a3b73b9a39
O0
1 1 5
I1
3 1 7a6
O1
1 1 7
I2
1 3 6,,5
O2
1 1 5
I3
3 9 8a2,a78,728,427,,a29,7a8,787,7
O3
1 1 9
I4T
7 10 7a07070,7b0707,0707b0,070a7a0,a07a0a7,0a707a0,07570a7,b7a070,a7a07a0,b7c0
O4T
None | 1 1 5 | dataset=solve_color group=least_popular_color_1x1 predict=image image_width=medium image_height=small task_pixels=a |
Simon-Solve-V1 predict image for 'O5T' | I0
8 3 1,,b14c1
O0
8 3 5,52b5a25,5
I1
7 9 c7b2,9e7,69d7,769c7,7679b7,,76a79a7,a76a797,a76c7
O1
7 9 5,,c5a25,d525,,5,,,
I2
9 10 6,f616,e61a6,c6a21a6,6b761616,b6274616,d641a6,c6161a6,c6a1b6,d61b6
O2
9 10 5,5c2c5,5a2e5,5,,,52f5,5a2e5,,5
I3
8 10 b31b39,a31a73a9,31e3,e373,39e3,9a393937,9f3,3,,3a9c39
O3
8 10 5,,,b5a2b5,5,,,a5d25,c5a2a5,5
I4
9 10 b7479b7,74b73b7,7a4a73947,d739a7,4a7473b7,a4b73a74,797a43b7,7a4a73b7,97a273b7,a797a2b7
O4
9 10 5,,,,,,,f525,,5
I5T
10 10 636b3a631,a6363c67,e61a67,d63a671,d630373,a6163160a6,6a9c6013,a68b97306,a63a86a906,a3a6181690
O5T
None
I6T
7 7 6c5a0,b5a057,57a9565,a7d5,5,,6b3b5
O6T
None | 10 10 5,,,5b2e5,5,,,,, | dataset=solve_outline group=outline_all8 predict=image image_width=small image_height=small task_pixels=b |
Simon-Solve-V1, 'O4T', predict the image | I0
9 7 0b7a07a0,g07,07c07a0,07f0,c0b7a0,07b07b0,0e5a0
O0
9 7 4,b7a47b4,70a474074,70474a7a4,7474b0a4,404a70b4,7b07a0a4
I1
7 6 b51b5,72c15,5151b5,5a1b52,a51c5,
O1
7 6 4,a54b54,24151a4,1a51b4,a15a424,a1542a4
I2
4 5 67a2,7a65,9767,8367,8207
O2
4 5 4,4a24,a654,7674,3674
I3
5 3 a2161,91767,a3207
O3
5 3 4,24614,17674
I4T
8 8 5d858,d89a8,857a89a8,c89b8,a8589585,7859c8,89897b8,a8957878
O4T
None
I5T
5 14 72562,a5326,26356,75a35,a6a32,76393,795a3,17636,17939,63739,2a793,c56,65a67,56a56
O5T
None | 8 8 4,d45a4,4a8498a4,57498b4,7489a8a4,85a85454,a59a85a4,a9878484 | dataset=solve_probecolor group=probecolor_topright predict=image image_width=small image_height=medium task_pixels=a |
simon-arc-image-shape identify places where shape2x2 contains bit 2 | 4 29 7545,7247,5747,b72,2b7,a727,47a2,57a2,2525,5452,4757,2727,42a7,75a7,2a57,2742,b72,2727,5a24,2725,7b2,a245,5272,a2a5,a257,7a27,a272,2572,2547 | 5 30 1c0,a1010,1a0a1,101a0,10a10,10101,10a10,10b1,1a010,1c0,1a010,10101,1b01,1a0a1,10101,a1b0,10101,101a0,1a010,,,101a0,,,c10,10101,101a0,a10a1,b1a0,1c0 | dataset=shape group=shape2x2 image_width=small image_height=large |
Flip-B SimonsRLEImage | 4 2 b72,76a2 | 2 4 2,27,67,7 | dataset=image_deserialize group=flipb image_width=small image_height=small |
Rotate Clockwise Simons-ARC-RLE-Image | 14 18 3c93a1a9a391,a1b3g93,193a13910a1a91,d9b09b193,9a8a09191b919,189a89b191b9,18919a81a39393,9893919a839313,98a93919a39319,981b9a19391a9,981a91b939a19,918191b9a1313,9389a1b91c9,19831d91a93,3981a9193939a1,198193a93d9,39891a3b91b9,91839a1a91a9a1 | 18 14 93131e9a1a9a13,1c931f8a919,f8a1c989a39,39a1391b931809139,91a9a1b93a9809139,1a3a9b1a918a90393,1391c9a198a10a91,g9198a190191,a9a3d9383a190a9,1c9a1d3a9a1a9,9193191d919a193,e93a1b3a91a93,1a91a9a19a1a91c9,1a91393b9a3a93131 | dataset=image_deserialize group=rotate_cw image_width=medium image_height=medium |
Simon-Solve-Version1 'O5T' predict the image | I0
10 4 c4b6424,2a06a42b4,a2g4,a42f4
O0
4 10 4,b42,4,a426,b46,,a464,2404,4204,4a24
I1
4 10 5,53a5,5735,4735,4752,5725,,5a25,52a5,2b5
O1
10 4 d52c5,a5b25a3a5,5a2d735,2c5a4b5
I2
10 4 b64b6b0,0a6460b60,a0406060a6,0640b6a06
O2
4 10 a6a0,0a60,a060,6,6a06,6,a0a4,a4a6,60a6,b06
I3
4 2 7a50,5b0
O3
2 4 0,05,,57
I4T
2 4 62,,25,52
O4T
None
I5T
4 7 5,,,a5a8,a1a5,5a15,b51
O5T
None | 7 4 1a58b5,5158b5,5a1c5,a51c5 | dataset=solve_rotate group=flipb predict=image image_width=small image_height=small task_pixels=a |
simon-solve-version1 predict image for O4T | I0
6 12 b4b1,,,b1b4,,,b4b1,,,b1b4,,
O0
8 32 c4a1a4,,e4a1,,c4a1a4,,e4a1,,a1e4,,a4a1c4,,a1e4,,a4a1c4,,c4a1a4,,e4a1,,c4a1a4,,e4a1,,a1e4,,a4a1c4,,a1e4,,a4a1c4,
I1
12 6 b4h1,,,b1h4,,
O1
32 8 g4a1e4a1e4a1e4,,i4e1a4e1a4e1,,a1z4b4,,a4e1w4,
I2
9 9 e4b1,,,b1e4,,,e1b4,,
O2
18 18 k4c1a4,,m4c1,,o4a1,,c1m4,,a4c1k4,,c4a1k4,,c1a4c1g4,,a4c1a4c1e4,,c4a1c4a1e4,
I3
9 12 e4b1,,,e1b4,,,b4b1b4,,,b4e1,,
O3
18 32 k4c1a4,,o4a1,,k4a1a4a1,,k4a1c4,,c1a4c1g4,,c4a1c4a1e4,,a1a4c1a4a1e4,,a1c4a1i4,,e4c1g4,,i4a1e4,,e4a1a4a1e4,,e4a1i4,,e4c1a4c1a4,,i4a1c4a1,,e4a1a4c1a4a1,,e4a1c4a1c4,
I4T
6 12 b1b4,,,1,,,4,,,b4b1,,
O4T
None | 8 32 a4a1c4,,4,,c1c4,,a1e4,,a4a1a4a1,,4,,1,,a1a4a1a4,,4,,,,,,,,e4a1,,4,,c4c1,,c4a1a4, | dataset=solve_fractal group=pattern_to_fractal predict=image image_width=other image_height=other task_pixels=c |
simon-solve-v1 predict image for 'O2T' | I0
6 3 b6b5,6d5,6a51a5
O0
4 3 a6a5,6b5,6515
I1
3 6 9a3,963,9a3,,,3
O1
3 4 9a3,963,9a3,3
I2T
6 3 82a818,82a418,8b691
O2T
None | 5 3 82818,82418,8a691 | dataset=solve_compress group=compressxy predict=image image_width=small image_height=small task_pixels=a |
SIMON-SOLVE-VERSION1 'O2T' predict the image | I0
15 5 4e80f2,84b8480c2727,84a84a80f2,c84a80f2,c84a80c27a2
O0
7 5 7e2,27a2b7,27a27a2,c27a2,2
I1
13 3 a84b8027a2a7,e80a2c7,e802727a2
O1
6 3 2a72a7,a2c7,2727a2
I2T
7 4 8480b2,b80a27,8480b2,
O2T
None
I3T
5 5 a80a2,a8027,84072,480a7,a80a2
O3T
None | 3 4 272,a27,272, | dataset=solve_bool group=xor predict=image image_width=medium image_height=small task_pixels=a |
SimonImageSymmetry apply symmetry hstack(flipy flipx flipx flipy 180) | 15 15 7m0,07l0,0a7f0a6b0,a0a7b0b6d0,a0707a6g0,a0b6a7g0,a607b07f0,06a07b07e0,a0607c07d0,b0a67c07c0,d06d07b0,e06g0,0,, | 75 15 z0a07m07z0b0,z007m07z0c0,q0a6f0a7c0a6f0a7z0c0,e06l0b6b0a7f0b6b0a7g06o06e0,d06d07j0a6707i0a6707f06d07e07d06d0,b0a67c07k0a7b6i0a7b6d0a67c07g07c07a6b0,a0607c07k07b070a6f07b070a6a0607c07i07c0706a0,06a07b07k07b07a06f07b07a06a06a07b07k07b07a060,a607b07k07c0706f07c0706a0a607b07m07b070a6,a0b6a7k07c07a6f07c07a6d0b6a7o0a7b6a0,a0707a6j07d06g07d06f0707a6o0a6707a0,a0a7b0b6l06m06g0a7b0b6i0b6b0a7a0,0a7f0a6z0f0a7f0a6e0a6f0a70,07z0p07y070,7z0p07z007 | dataset=symmetry group=symmetry image_width=medium image_height=medium instruction_sequence='hstack(flipy flipx flipx flipy 180)' |
simon-solve-v1 'O5T' predict the image | I0
5 6 34103,43010,04b0,30410,a03a4,403a4
O0
5 6 b8a5,8c5,a8b5,58b5,a8b5,58b5
I1
5 4 a2b1,a1b2,1,
O1
5 4 a8b5,,,
I2
4 5 b81,a818,81a8,,1b8
O2
4 5 a8a5,,,,
I3
5 4 5,,c52,a5a92
O3
5 4 a8b5,,,b8a5
I4
5 6 7,b757,7a5a7,5c7,7,
O4
5 6 a8b5,,,,,
I5T
5 4 6b28,a39a3,29253,c23
O5T
None | 5 4 58b5,8a585,a8b5, | dataset=solve_half group=half_right_all8 predict=image image_width=small image_height=small task_pixels=a |
simon-solve-v1, O3T, predict image | I0
4 3 5b9,3919,a191
O0
20 3 b95b95a19b1915b9,9193919a391939193919,19b19a15b95b9a191
I1
3 4 3,5,,
O1
15 4 e3e5b3,5,,e5e3b5
I2T
4 3 3b2,9696,96a9
O2T
None
I3T
3 2 961,a56
O3T
None | 15 2 169169a56a56961,6a56a5961961a56 | dataset=solve_symmetry group='create_rect_symmetry rect hstack(flipx flipx flipy flipy orig)' predict=image image_width=medium image_height=small task_pixels=a |
SIMONSOLVEV1 predict image for 'O5T' | I0
4 6 2191,2897,a3a7,6841,8642,8627
O0
4 6 0,6060,a0a6,0,a060,b60
I1
5 6 9c8,96751,97571,17517,a7617,a1767
O1
5 6 0,,6c0,a0a60,a60a6,a0b6
I2
6 6 8a2b9,2a3832,92a083,b95a0,b2959,c295
O2
6 6 0,,06a0a6,c0a6,b0606,6
I3
5 4 71757,a75a7,,75b1
O3
5 4 0,,6,a6b0
I4
6 4 36c8,38a687,86a8a7,6a8a78
O4
6 4 0,6d0,c6a0,d60
I5T
4 5 7373,b73,3637,3b7,a737
O5T
None
I6T
4 5 a535,a530,,8235,8a45
O6T
None | 4 5 0,,a060,6,a606 | dataset=solve_half group=half_top_all8 predict=image image_width=small image_height=small task_pixels=a |
SIMONSOLVEVERSION1, 'O4T', predict the image | I0
14 10 360a6b0a30606,0b63170a60606,60b160a7a03a6,a063b060a7363,0a63a6b0b430,a063d4b036,0d936e0,b0606a9b4a60,3036a0a40630a6,6a06a03b03060
O0
14 10 1,,,,,,,,,
I1
7 13 17d1,b13b1,b13101,a103a17,17813a1,a180316,b513a1,1285a20,17a2131,0801231,18b121,1810b1,d161
O1
7 13 6,,,,,,,,,,,,
I2
13 5 d85a9d8,a8b54a8a9a87,a84a787b8a98,d8a7a84b8,d87a87c8
O2
13 5 4,,,,
I3
12 11 5905c9a5a0,5a9a51395959,50b10935909,a9a0a953b05,a5a9095035a0,a95a95093950,5d8595350,090a20a8b29,59b52625035,505b069a230,0a9a509659a2
O3
12 11 6,,,,,,,,,,
I4T
11 10 50950a90a59,05a0513a950,59a1a30b95,b03a9b0a5,092b5b905,a02b9059a5,0d859509,a50b586b2,905b062590,0a59a5a9595
O4T
None
I5T
10 7 1d35323,c395c3,b325231a3,98a35d3,a3851393a2,93812d3,b32d32
O5T
None | 11 10 6,,,,,,,,, | dataset=solve_color group=least_popular_color_same predict=image image_width=medium image_height=medium task_pixels=c |
SIMONSARCIMAGEEROSION mask when doing erosion ALL8 | 12 11 3,,,d36e3,d3a6d3,c3246d3,b3732a6c3,a37b3a6c3,f36c3,b3d0c3,3 | 12 11 0,0i10,0b1b0c10,0b1c0b10,0a1d0b10,01f0a10,h0a10,,,01f0a10,0 | dataset=erosion group=apply_erosion image_width=medium image_height=medium connectivity=all8 |
SIMONIMAGEMASS identify places where max mass is 8, connectivity tb2 | 7 14 e21,,,d212,,,,,c0912,6b21a5,6b21a2,26a21a2,,26d2 | 7 14 1,,,,,,,,,,,,, | dataset=mass group=max_mass image_width=small image_height=medium connectivity=PixelConnectivity.TB2 max_mass=8 |
Simons-Image-Shape identify places where shape3x3 contains bit 0 | 10 5 53a535c3,5a3a53a8a5,5359d83,3a9a8a35a3,e53535 | 10 5 0,a0c1c0,f0a10,0,e01b0 | dataset=shape group=shape3x3_center image_width=small image_height=small |
SIMONARCIMAGESYMMETRY apply symmetry hstack(flipx flipy) | 26 9 4a34a5453c5354a357a57534,a353534a353a4535f0343,3535435a35e034b353535,3d5g3a5a34c3535,535b3b534c35b37c3a5,37a5753a5a3a4a5a3545353b5,a3a53b5373a4a34a34345b34,3a43534b35373a4b3a547b5,53a5a35a35b34d3437b54 | 52 9 4357a575a3453c5354a54a3453a5a35a35b34d3437b54,343f0535a435a343535b3a43534b35373a4b3a547b5,53535b343e05a3534535b3a53b5373a4a34a34345b34,535c34a3a5g3d5a37a5753a5a3a4a5a3545353b5,a5c37b35c343b5b353a535b3b534c35b37c3a5,b5353545a3a5a4a3a5357a57a3d5g3a5a34c3535,4b35434a34a3a4373b53a5b3535435a35e034b353535,b574a5b3a43735b34353a4b353534a353a4535f0343,4b5734d34b35a35a3a5354a34a5453c5354a357a57534 | dataset=symmetry group=symmetry image_width=large image_height=small instruction_sequence='hstack(flipx flipy)' |
SIMONSOLVEV1 predict image for O5T | I0
11 9 7,,,,,c78a3c7,e74c7,c781d7,7
O0
9 3 8a3878347,a74371371,817347878
I1
9 8 7,,,,,c759b7,c715b7,7
O1
6 2 595195,159a51
I2
8 9 7,,,,a760c7,a726c7,7,,
O2
6 2 606206,260a62
I3
9 8 7,,a7a81c7,b721c7,a7879c7,7,,
O3
9 3 a81878a19,721827827,879a19878
I4T
8 7 7,,,b79c7,7849c7,a786c7,7
O4T
None
I5T
8 9 7,7183c7,7a06c7,7251c7,7,,,,
O5T
None | 9 3 183102361,a06805805,25136a102 | dataset=solve_symmetry group='create_square_symmetry square hstack(orig flipa ccw) padded' predict=image image_width=medium image_height=small task_pixels=b |
SIMONSOLVEV1 predict image for O4T | I0
5 2 b3a5,8a5a3
O0
3 2 a35,853
I1
5 2 9a8a1,b1a8
O1
3 2 981,a18
I2
6 6 3b6a4,a3a4a3,34c3,3,,
O2
4 4 3a64,a343,34a3,3
I3
5 3 a7b1,737a8,b8a7
O3
4 3 a7a1,7378,b87
I4T
6 2 1,90c9
O4T
None
I5T
2 3 80,,08
O5T
None | 3 2 1,909 | dataset=solve_compress group=compressxy predict=image image_width=small image_height=small task_pixels=a |
what are the shared colors between SIMONS-ARC-HISTOGRAM | 5:1482,9:1271,8:1196,3:1054,1:973,2:896,4:373,0:126,6:19
8:1433,5:1306,4:850 | 4,5,8 | dataset=histogram_two group=intersection histogram_size=e |
SIMON-SOLVE-V1 'O4T' predict the image | I0
5 6 c96,89875,a1265,a9a35,b385,9
O0
5 6 a1b8,81b8,1c8,,a1b8,
I1
5 4 1,,,
O1
5 4 a1b8,,,
I2
6 6 b0a20,062890,068508,689a05,080505,0a5050
O2
6 6 1d8,181b8,1d8,a181a8,8a1b8,8b1a8
I3
6 5 8a02a4,0a5040,242b4,b2079,a24740
O3
6 5 81c8,a1c8,1a81a8,1d8,1a81a8
I4T
5 5 b549,19456,14a69,1c6,394a9
O4T
None
I5T
4 4 47a9,7454,45a0,45a4
O5T
None | 5 5 a1b8,8,8a1a8,,b818 | dataset=solve_half group=half_right_all8 predict=image image_width=small image_height=small task_pixels=a |
Simon-Solve-V1 'O4T' predict the image | I0
9 5 9e898,a8989a898,9b2a9b8,98982a589,a98989858
O0
9 5 1,a18181981,8989a89a1,b2a9a8a1,8292a5191
I1
4 5 0939,a939,a930,a030,9030
O1
4 5 1,1391,a391,9301,0301
I2
7 6 2b7a27,8a2c8,738b27,28382a4,a2374a7,8a72a78
O2
7 6 1,b7a271,b2b81,3b2871,8382741,232a4a1
I3
4 5 2457,4a57,8542,2a75,57a3
O3
4 5 1,a171,5a71,5421,7251
I4T
1 13 5,3,5,7,3,,5,,,3,,7,5
O4T
None | 1 13 1,,,,,,,,,,,, | dataset=solve_probecolor group=probecolor_topright predict=image image_width=small image_height=medium task_pixels=a |
SIMON-SOLVE-V1, 'O4T', predict the image | I0
4 6 9209,3239,93a9,9,4b9,
O0
4 6 8,,,,a808,8
I1
3 10 3,,,,1a3,,313,,a31,a34
O1
3 10 8,808,,8,,,,,,
I2
3 7 450,560,060,0,,,5a0
O2
3 7 8,,,,808,8,
I3T
10 10 6,,,,e69b6,e69a16,d64c6,,c64d6,
O3T
None
I4T
5 8 b595,a5495,a54a5,50945,50b5,08b5,0c5,5
O4T
None | 5 8 8,,,,,b808,,8 | dataset=solve_outline group=outline_all8 predict=image image_width=small image_height=small task_pixels=a |
SIMONSOLVEV1 predict image for 'O4T' | I0
3 9 151,1,1a5,125,215,1a5,151,,1
O0
3 9 151,1,a51,521,512,a51,151,,1
I1
9 1 18e51
O1
9 1 1e581
I2
1 4 2,,,6
O2
1 4 2,,,6
I3
4 4 95a9,9656,a259,a6a7
O3
4 4 a959,6569,95a2,a7a6
I4T
4 3 2,a3a1,a2a3
O4T
None | 4 3 2,a1a3,a3a2 | dataset=solve_rotate group=flipx predict=image image_width=small image_height=small task_pixels=a |
Simon-Solve-Version1 'O5T' predict the image | I0
6 10 6,b64a6,a656a1,a65676,65a676,6567a6,,95c6,5d6,
O0
6 10 0,,c0a5,0,,,,,,
I1
3 10 461,476,471,417,416,461,4a6,616,6a1,161
O1
3 10 050,a05,0,,,,,,,
I2
4 13 0,b08,6b0,0608,7040,7046,7846,74a0,0406,04a0,0408,a060,b06
O2
4 13 0,,5b0,05a0,0,b05,,0,,,,a050,b05
I3
3 4 a25,,5,a25
O3
3 4 0,,,a50
I4T
2 7 16,71,74,41,46,61,1
O4T
None
I5T
12 12 i0a7,6b5c3a750,09a3a0a7a5a6,02a0a60506a0,626b0506060,02a0a50a6a06,020506a0b60,02d06a0a6,a02h0,0,6a06a0a6c0,b06a06d0
O5T
None | 12 12 0,,5j0,5b0a5e0,0,,,,,,b05g0, | dataset=solve_mass group=mass2_all8 predict=image image_width=medium image_height=medium task_pixels=a |
simonsolvev1 'O4T' predict the image | I0
10 6 h56,g565,f56a5,5,,
O0
10 6 5,5d7c5,,,5g75,5
I1
4 7 8,,,,,,
O1
4 7 5,5a75,,,,,5
I2
4 9 a383,,0143,04a3,37a3,3,,,
O2
4 9 5,,,,,,5a75,,5
I3T
7 7 c4342,e42,b3b42,b4c3,4,,
O3T
None
I4T
7 8 a64c6,6462b6,6412b6,4a1c6,4e6,81b8a6,61b6a8,61d6
O4T
None | 7 8 5,d575,,,5,,, | dataset=solve_outline group=outline_all8 predict=image image_width=small image_height=small task_pixels=a |
Simon-Image-Mass identify places where max mass is 6, connectivity toprightbottomleft2 | 17 3 95a7a57a5a757a507,b73d05a197078,595759539a6a46a78 | 17 3 1,, | dataset=mass group=max_mass image_width=medium image_height=small connectivity=PixelConnectivity.TRBL2 max_mass=6 |
Simon-Solve-Version1, 'O3T', predict the image | I0
8 4 d13a1,a4a12b3,51e3,1a215b3
O0
8 4 1a215b3,51e3,a4a12b3,d13a1
I1
4 9 9898,9a89,a898,9,9089,8908,a909,8089,8a90
O1
4 9 8a90,8089,a909,8908,9089,9,a898,9a89,9898
I2
9 5 c02b60,b82a67a0,60a6787a0,6c0b76,6d0707
O2
9 5 6d0707,6c0b76,60a6787a0,b82a67a0,c02b60
I3T
5 5 1,a0b1,3a901,3a193,3c1
O3T
None | 5 5 3c1,3a193,3a901,a0b1,1 | dataset=solve_rotate group=flipy predict=image image_width=small image_height=small task_pixels=a |
simonsolveversion1 predict image for 'O5T' | I0
7 27 a5a4a54,,,,5,,a5a4a52,,,,5,,a5a1a59,,,,,5,,a5a1a58,,5,,a5a4a58,,,
O0
2 5 4,24,91,81,84
I1
30 14 a5e2a5a2a59a5d6a5e3,5,,a5e2a5a6a56a5d3a5e3,,,5,,a5e6a5a3a53a5d0a5e2,,5,,a5e0a5a3a57a5d2g5,
O1
5 4 369a2,a3a62,20a36,52730
I2
21 23 a5d1a5c1a5e4,,,,5,,a5d1a5c9a5e1,,,,5,,a5d8a5c9a5e1,,,5,,a5d1a5c9a5e1,,,5,,a5d6a5c6a5e1
O2
3 5 4a1,191,198,191,1a6
I3
23 21 a51a5e1a5c1a5c1,,,,5,,a51a5e1a5c1a5c1,,5,,d5e1a5c1a5c1,,,,5,,a51a5e1a5c1a5c1,,5,,a51a5e1a5c1a5c1
O3
4 5 1,,b15,1,
I4T
28 17 a5e3a50a5c0a53a5e6,,5,,a5e8a51a5c4a51a5e6,5,,a5e6a56a5c1a51a5e4,,,,,5,,i51a5c1a56a5e6,,
O4T
None
I5T
21 20 a5e7a5b7a57a5b0,5,,a5e0a5b1a53a5b9,5,,a5e0a5b6d5b2,,,,5,,a5e7a5b7a56a5b0,,,5,,a5e7a5b1a57a5b1,,
O5T
None | 4 5 0b7,9310,2560,06a7,1717 | dataset=solve_grid group=extract_content_from_grid_flipx predict=image image_width=large image_height=large task_pixels=d |
SimonArcImageDilation dilation mask with connectivity nearest4 | 5 3 a4950,65a43,96069 | 5 3 12a32,34b3,2b32 | dataset=dilation group=apply_dilation image_width=small image_height=small connectivity=nearest4 |
Simon-Solve-Version1 predict image for 'O5T' | I0
6 5 b39a7,a36795,30b35,06b39,0d3
O0
6 5 0,,,b08a0,0
I1
6 9 10a160,010710,021060,2a01a0,7a01a0,c010,d01,0,
O1
6 9 0,,,,,,0a8b0,0b8a0,0
I2
9 7 02d020,082082b0,d02b0,0,a08b02a0,a0b80a80,a808b080
O2
9 7 0,,f080,0,,,
I3
8 5 3,a32d3,,3,
O3
8 5 0,c0b80,,,0
I4
10 6 f1851,1f621,a14a8152a1,b149a2b1,c1219b1,b12e1
O4
10 6 0,,,,08e080,0
I5T
10 8 7c87c8,1g87,a8175a8787,b808a5b8,8780b85a8,a80b878a1,a80b8a781,10e878
O5T
None
I6T
8 6 6b969a8,68c5a8,b5d8,8,,
O6T
None | 10 8 0,,,,,,c08d0,0 | dataset=solve_outline group=outline_all8 predict=image image_width=small image_height=small task_pixels=b |
SimonsImageScale scalex=up4 scaley=down3 | 6 9 a91b9,,,981b2,,,8a91a4,, | 24 3 g9c1k9,c9c8c1k2,c8g9c1g4 | dataset=scale group=scale_input image_width=small image_height=small scalex=up4 scaley=down3 |
SimonsImageShape identify places where shape3x3opposite contains bit 2 | 26 15 a31c313c1e31d31,k31k31,1i3a1b31b31d3,1313131d31b3131a3131a3,c31c31a31a31i3,31b31a31a31b3a1a31e3,3131u3,e3a1b31b0a31d31a3,1a31c3c0c31h3,c3c0313b1i3a1,a3a031e3131c3a1d3,131e31a31c31g3,e31n3a1a3,e31c31d3131d31,b31b31d31f3a1313 | 26 15 0,0d101e0b1a0a10a1a0,a0101010b1010b1010a10a10,0c10d10101a0a10d10,c01a0a101a0a1a0d10a10,01b0b10a10a10i10,0b10b10101c0g1a0,b010c1c0c10f10,0c1c0a1c010d10a10,01b01d0a10e1a0b10,a01c010a1b0c10c1b0,b010a10b1010c1a0b1b0,a0d1a0a1a0b101010c10,0b1a0a10d10e101010,0 | dataset=shape group=shape3x3_opposite image_width=large image_height=medium |
SIMON-SOLVE-V1, O4T, predict image | I0
8 3 9a79b79,7a979a79,9a4a79a7
O0
8 3 5,d50a5,5
I1
5 6 10a10,101a0,01010,a0101,a1b0,01b0
O1
5 6 5,,a50a5,b505,5,
I2
8 8 4e83,854a84a8,8d648,8492a4a8,a8914818,432943a8,421b848,42c838
O2
8 8 5,,,,,e505,5,
I3
8 5 87b87a8,73a87b8,8387c8,a8a7b58,a7c857
O3
8 5 5,b5050a5,5,,
I4T
4 8 b30,3,b30,,0b3,90a3,39a3,b30
O4T
None
I5T
7 8 a49b49,a4a9b4,492c4,492b46,a942496,4142964,b6c4,a494949
O5T
None | 4 8 5,50a5,,5,,,, | dataset=solve_erosion group=apply_erosion_corner4 predict=image image_width=small image_height=small task_pixels=a |
SimonsCellularAutomata, Given two images, recognize the transformation. gameoflife_nowrap,serviettes_wrap,gameoflife_wrap | 21 12 e8a080g8b0,b0d8a08a0b8b080,b8080b8b0b80a8b0,f0d80a8c0a8,0c8a0c8a080a80a80,k808c0a80,0a8a0f80b8a0808,0a8a0i808c0,c80b8a0a8a08c0a8,b8080a8b0a80c80a8,a08a0b808e0a80a8,d0c80b808c0a8
21 12 80d808a0f8080,8a0b8a0a8b0b80c8,8a0a8a08a0d8a0b80,c0g8c0c80,08a0a80c8a08a0b808,c8a0e8080c8a0,b8a0g8a0b80a8,d80e8c0c80,d80a80808a080d8,a8a08080c8080b8a08,080a80a8a080b80a8a08,0b80c8b0808c0a8 | gameoflife_nowrap=0,serviettes_wrap=0,gameoflife_wrap=0 | dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=large image_height=medium |
SimonImageScale, Given two images, recognize the transformation. x2up_y1,x5down_y3down,x4up_y1,x3up_y1,x5up_y1 | 5 21 4,,,,,,9,,,,,,1,,,,,,,,
1 7 4,,9,,1,, | x2up_y1=0,x5down_y3down=1,x4up_y1=0,x3up_y1=0,x5up_y1=0 | dataset=scale group=recognize_transformation image_width=small image_height=large scalex=down5 scaley=down3 |
simonsolvev1, 'O4T', predict the image | I0
8 10 5,,a56d5,,b56c5,,c56b5,c564a5,e5a4,5
O0
8 10 f56,56d56,5a6c56,f56,a5a6b56,f56,b5a6a56,c565a6,e5a6,6
I1
7 6 a089a03,8b4a94,0148340,8a43841,40c80,b841a8
O1
7 6 b65b6,65d6,b65b6,c65a6,c6a56,6
I2
6 10 3a9a36,614636,c363,c364,a3a234,a2a343,9b343,69a349,393a43,36a369
O2
6 10 b65a6,b6a56,b5b6,5a65a6,65a656,a65b6,b5b6,6,a65b6,6
I3
8 9 a0475a74,a704b70,b0a7050,37a0b70,3547c0,034704a0,09a57307,05903570,5a03a040
O3
8 9 6b565a6,6,6c5b6,b65c6,5c6a56,b65c6,65c656,5a65c6,6
I4T
6 4 525b2,a59b5,19a151,252951
O4T
None
I5T
6 5 067280,0a82a8,870828,080628,a08682
O5T
None | 6 4 565b6,b65a6,6, | dataset=solve_edge group=edge_bottom_right predict=image image_width=small image_height=small task_pixels=b |
SIMONARCIMAGESHAPE shape3x3 histogram corners number of unique colors | 15 30 a0a3a03a063c0,03b0a36a303a03,c380b3038b3,3c0a3f03,0c303c0a303,b3a0a3c08b0,4a030306a303b0,4a030a3603030a3,4a080a36803a0a3,40a83a0360b3a0,48c303603b08,4a803a03683a083,40b3b06b0b3,4a03030360303a0,48363c06303a0,4a016b08680303,4018630386d0,401a36030603b0,413036b06d0,410303603608a03,41a0b36806c0,1d0360860b3,1b080a3606b08,a0c3030a60b3,8c03b0a6a380,b08030303a6a03,0b30a3080a6b0,c0b808a368a3,e030b303a0,383a0a3c03b0 | 15 30 a121b21a2a1a21,b2323a232323a2,b21a2323a21a21,121f232312,g2a121a21,23c2323d21,23c23231313a2,1231b2b3d2,1c32c3d2,2a3c24a31a232,g232323a2,a231d231a232,2b3c23e2,a241321a23d2,12323a2b3a2121,2b343a2a3a2121,1a3a4a3232a3a21,2b34a323a2c1,2b32c3231321,13a232a323a2b1,2a312g3a2,2323a2b3212121,13c232323a2a1,131a232a32c32,123b2a1a2b3a2,23d232b34a2,a1a2323a2424a32,h2b3a21,b2d32d32,d12a1212a121 | dataset=shape group=shape3x3_histogram_corners image_width=medium image_height=large |
simon-solve-v1, O3T, predict image | I0
6 7 a51b8,a58181,a568a1,a56b1,a56a18,b6b1,c181
O0
6 7 a51b8,a58181,b68a1,b6b1,b6a18,b6b1,c181
I1
12 6 1a81a8d18,8c181818a1,8b1e656,18a1a8b1851,18d18a151,g18151
O1
12 6 1a81a8d18,8c181818a1,8b1g6,18a1a8b1851,18d18a151,g18151
I2
7 8 b18a18,d1a8,1c561,,,1c568,1c561,1d68
O2
7 8 b18a18,d1a8,1d61,,,1d68,1d61,1d68
I3T
8 11 1a8d1,8c18a1,e181,81e6,18e6,,a1e6,a1d56,81d56,a8d56,a1d56
O3T
None | 8 11 1a8d1,8c18a1,e181,81e6,18e6,,a1e6,,81e6,a8e6,a1e6 | dataset=solve_zindex group=move_obscured_rectangle_to_top predict=image image_width=medium image_height=medium task_pixels=a |
simonsolveversion1 'O4T' predict the image | I0
4 4 6,b63,3b6,b63
O0
2 4 1,19,91,19
I1
4 7 63a6,3b6,6,,,b63,6
O1
2 7 19,91,1,,,19,1
I2
10 6 a6b3b636,a3b63c6,6,36363d6,63a63b636,a3g6
O2
5 6 a1919,19b1,1,91919,191a9,a9b1
I3T
6 4 6a3b6,6,,636a36
O3T
None
I4T
8 4 6,63e6,6,e636
O4T
None | 4 4 1,19a1,1,a191 | dataset=solve_bool group=xor predict=image image_width=small image_height=small task_pixels=a |
SIMON-SOLVE-V1, O4T, predict image | I0
15 13 7e27c27a5,,,,,,7,7e97c17a5,,,,,
O0
2 3 5,21,29
I1
11 6 7b87e0,,7,7b17e8,7,7b87e6
O1
3 2 086,818
I2
5 9 7a575,,,,,,7,7a875,
O2
2 2 5,58
I3
13 20 757d87a070,,,7,757d07a170,,7,797d57a0a7,,,7,707d57a070,,,,7,787d57a070,,,
O3
5 4 a07a0,01b0,80b5,a5908
I4T
10 10 7e47a9,,,,,7,7e87a8,,,
O4T
None | 2 2 98,48 | dataset=solve_grid group=extract_content_from_grid_ccw predict=image image_width=medium image_height=medium task_pixels=b |
Simon-Image-Dilation mask when doing dilation lr2 | 11 13 f81b8,b82a831878,e8317a8,d83178a2,b5a831c8,2a8c5a828,a8283a8a2a8,8283a8a2b8,b83b82b8,a8382a82a82,a83a8a6c8,838a6e8,836c82b8 | 11 13 e0121a0,a012a1c21,d01b210,c01c210,a0b1a21b0,c1a0b121,01b2d10,1b2d1a0,a01210121a0,01b2a12b1,012d1b0,1a2b1d0,1a21a0121a0 | dataset=dilation group=apply_dilation image_width=medium image_height=medium connectivity=lr2 |
Simon-Solve-V1 predict image for O4T | I0
8 9 b4640a4,d9094,,,d9096,d9094,,d9096,b4a60a4
O0
8 9 7,d73a7,,,,,,,7
I1
7 14 4,a464646,a6b464,4e6,e94,e96,e94,b9c0,,,4a6c0,b4c0,a46c0,464c0
O1
7 14 7,,,,,,,b7b37,,,7,,,
I2
8 11 4b90964,4b909a4,6b90964,4b909a4,b460b4,a4a606a4,6b40b4,646404a6,c40a46,46a40b4,46c464
O2
8 11 c73b7,,,,7,,,,,,
I3T
13 14 c46f94,6j04,4j04,4j06,6j04,4j04,,,,4j06,c46f94,46b4f96,4646h4,b4646c46a4
O3T
None
I4T
12 9 6c49464a64,a46a4964b64,a6b496d4,6a4649c4a6,4j0,6j0,a46a49e4,464a69a64646,46b49e4
O4T
None | 12 9 7,,,,d73e7,,7,, | dataset=solve_zindex group=mask_of_intersection_rectangle predict=image image_width=medium image_height=medium task_pixels=b |
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.jsonldataset_solve_rotate.jsonldataset_solve_translate.jsonldataset_cellular_automaton.jsonl- added.dataset_shape.jsonl- added.
Verison 19
Added dataset.
Datasets:
dataset_solve_color.jsonldataset_solve_rotate.jsonldataset_solve_translate.jsonldataset_cellular_automaton.jsonldataset_shape.jsonldataset_image.jsonl- added.
Verison 20
Bigger images.
Verison 21
Added dataset. Disabled some datasets.
Datasets:
dataset_cellular_automaton.jsonldataset_shape.jsonldataset_mass.jsonl- added.
Verison 22
Added dataset.
Datasets:
dataset_solve_color.jsonldataset_solve_rotate.jsonldataset_solve_translate.jsonldataset_cellular_automaton.jsonldataset_shape.jsonldataset_image.jsonldataset_mass.jsonldataset_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.jsonldataset_shape.jsonldataset_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.jsonldataset_scale.jsonldataset_shape.jsonl- disableddataset_solve_color.jsonldataset_solve_rotate.jsonldataset_solve_translate.jsonl
Verison 37
Enabled all datasets
Datasets:
dataset_cellular_automaton.jsonldataset_histogram.jsonldataset_image.jsonldataset_mass.jsonldataset_scale.jsonldataset_shape.jsonldataset_solve_color.jsonldataset_solve_rotate.jsonldataset_solve_translate.jsonl
Verison 38
Added dataset
Datasets:
dataset_cellular_automaton.jsonldataset_histogram.jsonldataset_image.jsonldataset_mass.jsonldataset_scale.jsonldataset_shape.jsonldataset_solve_color.jsonldataset_solve_rotate.jsonldataset_solve_translate.jsonldataset_symmetry.jsonl- added
Version 39
Regenerated all datasets with new random seeds.
Version 40
Added dataset
Datasets:
dataset_cellular_automaton.jsonldataset_histogram.jsonldataset_image.jsonldataset_image_pair.jsonl- addeddataset_mass.jsonldataset_scale.jsonldataset_shape.jsonldataset_solve_color.jsonldataset_solve_rotate.jsonldataset_solve_translate.jsonldataset_symmetry.jsonl
Version 41
Regenerated all datasets with new random seeds.
Version 42
Added dataset. Disabled some datasets.
Datasets:
dataset_cellular_automaton.jsonldataset_histogram.jsonl- disableddataset_image.jsonl- disableddataset_image_pair.jsonl- disableddataset_mass.jsonl- disableddataset_scale.jsonldataset_shape.jsonldataset_solve_color.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonl- addeddataset_solve_translate.jsonldataset_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.jsonldataset_histogram.jsonldataset_image.jsonl- disableddataset_image_pair.jsonl- disableddataset_mass.jsonl- disableddataset_scale.jsonl- disableddataset_shape.jsonl- disableddataset_solve_color.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonl- addeddataset_solve_translate.jsonldataset_symmetry.jsonl
Version 48
Enabled all datasets.
Version 49
Bigger max_mass. From 6 to 8.
Version 50
Added dataset.
Datasets:
dataset_cellular_automaton.jsonldataset_histogram.jsonldataset_image.jsonl- disableddataset_image_pair.jsonl- disableddataset_mass.jsonl- disableddataset_scale.jsonl- disableddataset_shape.jsonl- disableddataset_solve_color.jsonldataset_solve_compress.jsonl- addeddataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_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.jsonldataset_erotion.jsonl- addeddataset_histogram.jsonldataset_image.jsonldataset_image_pair.jsonldataset_mass.jsonldataset_scale.jsonldataset_shape.jsonldataset_solve_color.jsonldataset_solve_compress.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_symmetry.jsonl
Version 55
Added dataset. Disabled most datasets.
Datasets:
dataset_cellular_automaton.jsonldataset_dilation.jsonl- addeddataset_erotion.jsonldataset_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.jsonldataset_dilation.jsonldataset_erotion.jsonldataset_histogram.jsonldataset_image.jsonldataset_image_pair.jsonldataset_mass.jsonldataset_scale.jsonldataset_shape.jsonldataset_solve_color.jsonldataset_solve_compress.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_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.jsonldataset_solve_compress.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_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.jsonldataset_solve_compress.jsonldataset_solve_erosion.jsonl- addeddataset_solve_fractal.jsonl- addeddataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_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.jsonldataset_solve_compress.jsonldataset_solve_erosion.jsonldataset_solve_fractal.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_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.jsonldataset_scale.jsonl- disableddataset_shape.jsonl- disableddataset_solve_color.jsonl- disableddataset_solve_compress.jsonl- disableddataset_solve_erosion.jsonldataset_solve_fractal.jsonldataset_solve_rotate.jsonl- disableddataset_solve_scale.jsonl- disableddataset_solve_symmetry.jsonldataset_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.jsonldataset_dilation.jsonldataset_erotion.jsonldataset_histogram.jsonldataset_image.jsonldataset_image_pair.jsonldataset_mass.jsonldataset_scale.jsonldataset_shape.jsonldataset_solve_color.jsonldataset_solve_compress.jsonldataset_solve_erosion.jsonldataset_solve_fractal.jsonldataset_solve_outline.jsonl- addeddataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_symmetry.jsonl
Version 65
random seed.
Version 66
Disabled some datasets.
Datasets:
dataset_cellular_automaton.jsonldataset_dilation.jsonldataset_erotion.jsonldataset_histogram.jsonl- disableddataset_image.jsonl- disableddataset_image_pair.jsonl- disableddataset_mass.jsonldataset_scale.jsonl- disableddataset_shape.jsonldataset_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.jsonldataset_dilation.jsonldataset_erotion.jsonldataset_histogram.jsonldataset_image.jsonldataset_image_pair.jsonldataset_mass.jsonldataset_scale.jsonldataset_shape.jsonldataset_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.
Version 72
Different random seed.
Version 73
Different random seed.
Version 74
Major update to dataset_solve_symmetry.jsonl.
Version 75
Different random seed.
Version 76
Disabled some datasets.
Datasets:
dataset_cellular_automaton.jsonl- 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.jsonldataset_solve_compress.jsonldataset_solve_erosion.jsonldataset_solve_fractal.jsonldataset_solve_outline.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_symmetry.jsonl- disabled
Version 77
Enabled all datasets.
Version 78
Major update to dataset_solve_symmetry.jsonl.
Version 79
Different random seed.
Version 80
Different random seed.
Version 81
Different random seed.
Version 82
Added dataset.
Datasets:
dataset_cellular_automaton.jsonldataset_dilation.jsonldataset_erotion.jsonldataset_histogram.jsonldataset_image.jsonldataset_image_pair.jsonldataset_mass.jsonldataset_scale.jsonldataset_shape.jsonldataset_solve_color.jsonldataset_solve_compress.jsonldataset_solve_erosion.jsonldataset_solve_fractal.jsonldataset_solve_outline.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_solve_zindex.jsonl- addeddataset_symmetry.jsonl
Version 83
Disabled datasets that doesn't solve ARC puzzles.
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.jsonldataset_solve_compress.jsonldataset_solve_erosion.jsonldataset_solve_fractal.jsonldataset_solve_outline.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_solve_zindex.jsonldataset_symmetry.jsonl- disabled
Version 84
Added dataset dataset_solve_grid.jsonl.
Disabled datasets that doesn't solve ARC puzzles.
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.jsonldataset_solve_compress.jsonldataset_solve_erosion.jsonldataset_solve_fractal.jsonldataset_solve_grid.jsonl- addeddataset_solve_outline.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_solve_zindex.jsonldataset_symmetry.jsonl- disabled
Version 85
Disabled datasets that doesn't solve ARC puzzles.
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.jsonldataset_solve_compress.jsonldataset_solve_erosion.jsonldataset_solve_fractal.jsonldataset_solve_grid.jsonldataset_solve_outline.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_solve_zindex.jsonldataset_symmetry.jsonl- disabled
Version 86
Enabled all datasets.
Version 87
Disabled datasets that doesn't solve ARC puzzles.
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.jsonldataset_solve_compress.jsonldataset_solve_erosion.jsonldataset_solve_fractal.jsonldataset_solve_grid.jsonldataset_solve_outline.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_solve_zindex.jsonldataset_symmetry.jsonl- disabled
Version 88
Added dataset dataset_solve_probecolor.jsonl with all directions enabled.
Disabled datasets that doesn't solve ARC puzzles.
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.jsonldataset_solve_compress.jsonldataset_solve_erosion.jsonldataset_solve_fractal.jsonldataset_solve_grid.jsonldataset_solve_outline.jsonldataset_solve_probecolor.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_solve_zindex.jsonldataset_symmetry.jsonl- disabled
Version 89
Enabled all datasets.
Datasets:
dataset_cellular_automaton.jsonldataset_dilation.jsonldataset_erotion.jsonldataset_histogram.jsonldataset_image.jsonldataset_image_pair.jsonldataset_mass.jsonldataset_scale.jsonldataset_shape.jsonldataset_solve_color.jsonldataset_solve_compress.jsonldataset_solve_erosion.jsonldataset_solve_fractal.jsonldataset_solve_grid.jsonldataset_solve_outline.jsonldataset_solve_probecolor.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_solve_zindex.jsonldataset_symmetry.jsonl
Version 90
Disabled some of the 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- disableddataset_solve_compress.jsonldataset_solve_erosion.jsonl- disableddataset_solve_fractal.jsonldataset_solve_grid.jsonl- disableddataset_solve_outline.jsonl- disableddataset_solve_probecolor.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonl- disableddataset_solve_zindex.jsonl- disableddataset_symmetry.jsonl- disabled
Version 91
Added dataset.
Enabled all datasets.
Datasets:
dataset_cellular_automaton.jsonldataset_dilation.jsonldataset_erotion.jsonldataset_histogram.jsonldataset_image.jsonldataset_image_pair.jsonldataset_mass.jsonldataset_scale.jsonldataset_shape.jsonldataset_solve_color.jsonldataset_solve_compress.jsonldataset_solve_erosion.jsonldataset_solve_fractal.jsonldataset_solve_grid.jsonldataset_solve_mass.jsonl- addeddataset_solve_outline.jsonldataset_solve_probecolor.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_solve_zindex.jsonldataset_symmetry.jsonl
Version 92
Different random seed.
Version 93
Added dataset.
Datasets:
dataset_cellular_automaton.jsonldataset_dilation.jsonldataset_erotion.jsonldataset_histogram.jsonldataset_image.jsonldataset_image_pair.jsonldataset_mass.jsonldataset_scale.jsonldataset_shape.jsonldataset_solve_bool.jsonl- addeddataset_solve_color.jsonldataset_solve_compress.jsonldataset_solve_erosion.jsonldataset_solve_fractal.jsonldataset_solve_grid.jsonldataset_solve_mass.jsonldataset_solve_outline.jsonldataset_solve_probecolor.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_solve_zindex.jsonldataset_symmetry.jsonl
Version 94
Added dataset.
Disabled datasets that doesn't solve ARC tasks.
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_bool.jsonldataset_solve_color.jsonldataset_solve_compress.jsonldataset_solve_edge.jsonl- addeddataset_solve_erosion.jsonldataset_solve_fractal.jsonldataset_solve_grid.jsonldataset_solve_mass.jsonldataset_solve_outline.jsonldataset_solve_probecolor.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_solve_zindex.jsonldataset_symmetry.jsonl- disabled
Version 95
Added dataset.
Datasets:
dataset_cellular_automaton.jsonldataset_dilation.jsonldataset_erotion.jsonldataset_histogram.jsonldataset_image.jsonldataset_image_pair.jsonldataset_mass.jsonldataset_scale.jsonldataset_shape.jsonldataset_solve_bool.jsonldataset_solve_color.jsonldataset_solve_compress.jsonldataset_solve_edge.jsonldataset_solve_erosion.jsonldataset_solve_fractal.jsonldataset_solve_grid.jsonldataset_solve_half.jsonl- addeddataset_solve_mass.jsonldataset_solve_outline.jsonldataset_solve_probecolor.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_solve_zindex.jsonldataset_symmetry.jsonl
Version 96
Datasets:
dataset_cellular_automaton.jsonldataset_dilation.jsonldataset_erotion.jsonldataset_histogram.jsonldataset_image.jsonldataset_image_pair.jsonldataset_mass.jsonldataset_scale.jsonldataset_shape.jsonldataset_solve_bool.jsonldataset_solve_color.jsonldataset_solve_compress.jsonldataset_solve_edge.jsonldataset_solve_erosion.jsonldataset_solve_fractal.jsonldataset_solve_grid.jsonldataset_solve_half.jsonldataset_solve_mass.jsonldataset_solve_outline.jsonldataset_solve_probecolor.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_solve_zindex.jsonl- major update.dataset_symmetry.jsonl
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