instruction stringlengths 18 164 | input stringlengths 4 1.84k | output stringlengths 1 4.07k | benchmark stringlengths 48 172 |
|---|---|---|---|
Process SIMONARCIMAGEPAIR and return the overlap of colors | 13 8 5a1a515152b1,51b515726515,a1515a762a151,b5a7652a1b5,1a76a52c5a1,c15251515a1,b51525e1,5b12a515a1a5
15 9 h87a3b8,f8b30c8,c8b3a084c8,a8b2a87b84b8,8a5a8c2a84b8,e87a8c2a8,d87f8a2,d87g84,8 | 2,5,7 | dataset=image_pair group=color_intersection image_width=medium image_height=small |
SIMON-SOLVE-V1 predict image for O3T | I0
7 3 d080,,c0680
O0
7 3 6,6a3c6,6
I1
5 7 1,a6b1,1,,16b1,a1626,a16a1
O1
5 7 6,b636,,,6,,
I2
7 10 939a831,c9a18,93a1a98,91c98,9,b93b9,a93c9,,a93a939,9
O2
7 10 6,,,,,d636,,6,,
I3T
9 10 5,e59a5,,d5a1a5,b5a152a5,5a3b52a5,5a80a82a5,c505a35,c506a53,d56b5
O3T
None
I4T
6 7 6d5,56c5,a56b5,5,4b565,252a65,5a1a25
O4T
None | 9 10 6,6c3c6,6b3d6,63f6,6,,,,6a3e6,6 | dataset=solve_outline group=outline_all8 predict=image image_width=small image_height=small task_pixels=a |
rotate 180 Simons-ARC-RLE-Image | 14 22 19a19d1b91,9a1a91a91a91a9,b1a9d19b1,1a91b9a19b19,b19a191a919a1,1a91b9191b91,919b191a91b9,a1c9b19a191,a9b1b91d9,b9a19191a9a19,19a191a9191a91,a1a91a919a19a1,9a19191a9a1b9,a1c919c1a9,1g9c19,1a9a19b1b919,c1b9a1a91a9,9a1b919b1919,b9a19a19a1a91,9a1919b191a91,c91b9a19a19,a19b1a9a19b1 | 14 22 b19a1a9b19a1,9a19a1b91c9,1a919b1919a19,1a9a19a19a1b9,919b191b9a19,a91a9a1b9c1,91b9b19a1a91,9c1g91,a9c191c9a1,b9a1a91919a19,a19a191a91a9a1,1a9191a919a191,9a1a91919a1b9,d91b9b1a9,19a19b1c9a1,b91a919b1919,1b9191b91a91,a191a919a19b1,9b19a1b91a91,b19d1a9b1,a91a91a91a9a19,1b9d19a191 | dataset=image_deserialize group=rotate_180 image_width=medium image_height=large |
Simon-Solve-V1 predict image for O4T | I0
3 3 7a2,913,432
O0
3 6 232,213,794,432,913,7a2
I1
2 2 1,3
O1
2 4 13,,3,1
I2
2 2 56,8
O2
2 4 68,58,8,56
I3T
2 2 31,6
O3T
None
I4T
3 3 767,675,457
O4T
None | 3 6 757,675,764,457,675,767 | dataset=solve_symmetry group='create_square_symmetry square vstack(ccw flipy)' predict=image image_width=small image_height=small task_pixels=a |
SIMON-SOLVE-V1 predict image for 'O3T' | I0
7 6 4,,d4a2,b4a2a4,4a2c4,2e4
O0
7 6 3,3b5b3,35d3,3,,
I1
6 6 0a93a9,390b9,5d9,5a9439,3d9,c9a3
O1
6 6 3,b35a3,3,a35b3,3,
I2
8 8 96989896,96a96b9,e969,869698a9,8e98,68695a96,98a97a59,68687895
O2
8 8 3,b35c3,3,a3535b3,3,,,
I3T
8 3 4c7a06,40a7a816,04b7a47
O3T
None | 8 3 3,b35c3,3 | dataset=solve_erosion group=apply_erosion_corner4 predict=image image_width=small image_height=small task_pixels=a |
SimonArcImageDilation mask when doing dilation LR2 | 10 13 0a7f0,70a7b0a70,7047b0907,7948a01970,a7940719a0,7a09814970,b04987970,07a9180970,7a074989a0,07a04789a7,a7040b807,70748d0,c0707b0 | 10 13 c1e0,12b10c1,1b2101a21,1b2a1b21,01e210,b1e21,a01e21,12a1d21,b1d210,12a1c210,01b210121,1c21c0,b01b21a0 | dataset=dilation group=apply_dilation image_width=small image_height=medium connectivity=lr2 |
Simons-Cellular-Automaton, HighLife wrap=xy. steps=1. alive=7. dead=0. | 12 10 d0d7a0,f0b7a0,b0a7f0,b0707e0,c0707d0,d0b7c0,a07b07d0,0,e07d0, | 12 10 d07b07a0,c0a7b07a0,b0a7b07b0,b0707e0,c07a07c0,f07c0,d0b7c0,0,,g07b0 | dataset=cellular_automaton group=highlife_wrap ca_step=1 image_width=medium image_height=small |
SimonArcImageErosion mask when doing erosion LR2 | 10 7 e713a7,1a74a7a3a7,a754183b7,71b873717,164183c7,86b73c7,58a73b187 | 10 7 0c1d0,0,g010,b01e0,f0a10,b01b0a10,e01b0 | dataset=erosion group=apply_erosion image_width=small image_height=small connectivity=lr2 |
SimonsImageMass identify places where max mass is 8, connectivity tb2 | 10 19 b03030303,30a3d03,90a3a0b30,3a93a03030,b3a9d3,a3a039a3a0,b3a03a930,a30b30320,b30a30203,c3a02b0,c30230a3,a0a32a0303,b02a3a0a3,a32c30a3,0a930d3,b3b90a30,a030a3a930,a0b3a0393,b30303a03 | 10 19 1,,,,,,,,,,,,,,,,,, | dataset=mass group=max_mass image_width=small image_height=medium connectivity=PixelConnectivity.TB2 max_mass=8 |
simon-solve-v1, 'O5T', predict the image | I0
10 8 202c7b2,0h2,a25b25264,25g2,2,,,
O0
10 8 2,,c23d2,,b2e32,2g32,,2
I1
5 9 8,,b878,86a72,86782,86878,8a7a2,72b8,8
O1
5 9 2,23b2,2,,,,,,
I2
9 7 0,5g0,f050,0,095a0a5a0,9g0,05f0
O2
9 7 2,a2c3b2,,2,,,
I3
6 9 c272,b2a61,a2a612,b61a2,251b2,615b2,2,,
O3
6 9 2,,,,,c232,,2c32,2
I4
10 6 4,a9g4,a4a9e4,c4a9c4,e4a9a4,g494
O4
10 6 2,d2c32,f2a32,2,2a3f2,2
I5T
6 8 b92a9,4a8479,49a7a9,a74b9,a94b9,,9,
O5T
None | 6 8 2,,,,c232,,,2 | dataset=solve_outline group=outline_all8 predict=image image_width=small image_height=small task_pixels=b |
Simon-ARC-Image-Scale scalex=up7 | 2 27 4,94,,,,65,,64,69,,62,26,,,46,,4,,,,45,4,,,48,,4 | 14 27 4,f9f4,,,,f6f5,,f6f4,f6f9,,f6f2,f2f6,,,f4f6,,4,,,,f4f5,4,,,f4f8,,4 | dataset=scale group=scale_input image_width=small image_height=large scalex=up7 scaley=down1 |
SimonImageShape find shape2x2 bit 1 | 11 10 4a19b494a1,b1a41c41,41414b1491,b92d561,9c416a141,a9b4a1b41,1914c1914,1964a1a4b1,191a4b1a41,b1a41414a1 | 12 11 a01a0a1b010,0a101a0b1a0,e0a1c0,0a1a0c1b0,a0b1b01b0,010a1010a1a0,d0b1c0,d01010a10,c010a101a0,0a101d010,1 | dataset=shape group=shape2x2 image_width=medium image_height=small |
simons-image-symmetry Symmetry hstack(orig orig orig 180) | 4 15 0,,95a0,2560,,0506,05a0,0250,0950,,,09a0,,0, | 16 15 0,,95a095a095c090,25602560256b090,25602560256a0590,0506050605060590,05b05b05b0590,025a025a025a0520,095a095a095b050,095a095a09506050,095a095a095a0652,09b09b09b0652,09b09b09c059,0, | dataset=symmetry group=symmetry image_width=small image_height=medium instruction_sequence='hstack(orig orig orig 180)' |
SIMON-SOLVE-V1 predict image for O4T | I0
4 4 5,a0a5,5305,5
O0
4 4 5305,5,,a0a5
I1
4 3 9b2,29a2,2
O1
4 3 2,9b2,29a2
I2
3 2 0a7,070
O2
3 2 0a7,070
I3
2 2 31,13
O3
2 2 31,13
I4T
2 5 85,58,83,8,
O4T
None
I5T
5 2 b194,a49a4
O5T
None | 2 5 83,8,,85,58 | dataset=solve_translate group=translate_yminus2 predict=image image_width=small image_height=small task_pixels=a |
simons-image-scale scale-x up by 4 | 3 16 0,4a0,0,a09,,064,,060,,a70,640,6a0,,,a05, | 12 16 0,c4g0,0,g0c9,,c0c6c4,,c0c6c0,,g7c0,c6c4c0,c6g0,,,g0c5, | dataset=scale group=scale_input image_width=small image_height=medium scalex=up4 scaley=up1 |
Simon-Image-Dilation mask when doing dilation TB2 | 6 11 a89a89,8a9a89,a9b89,b8b9,a89896,982905,982059,a92058,a905a8,898598,b8b9 | 6 11 01c0,b1b0,2c10,b12a1,10a212,101b2,010a12,0d1,102120,1,010101 | dataset=dilation group=apply_dilation image_width=small image_height=medium connectivity=tb2 |
SIMONSOLVEVERSION1, O2T, predict image | I0
13 10 6,676a06a263606,,,,,,6,60c6a369616,6
O0
5 2 03207,19360
I1
14 10 6,636b06c0656,,6,b6b36c3656,,,,,6
O1
4 2 5a03,5a36
I2T
20 22 6,6a06d8686d8686,,,6,6a16d8696d0686,,,,,,6,6a86d0686d0686,,,,,6,c6d8606d0636,,,6
O2T
None | 5 4 c80,80981,80808,3a086 | dataset=solve_grid group=extract_content_from_grid_flipx predict=image image_width=medium image_height=large task_pixels=b |
SIMONSOLVEV1 predict image for O3T | I0
6 12 03a103,a10731,7a0130,0a1317,10a101,a07303,171313,13a137,17a010,a37173,310131,a30a10
O0
6 12 7,,,,,,,,,,,
I1
6 12 03a103,a10731,7a0130,0a1317,10a101,a07303,171313,13a137,17a010,a37173,310131,a30a10
O1
6 12 7,,,,,,,,,,,
I2
11 14 1816b1a018,0681a616186,6a1a6a16818,a0a16061608,8060b6b16,868161086a1,01860b86a1,6016a8a10a6,161b6a1606,168606a10a6,16b16a0861,61a61a6a061,6a0181810a1,80868686010
O2
11 14 8,,,,,,,,,,,,,
I3T
14 10 0a103a13a03037,a710710b31b3,0a310a3010b71,703b13a1a30a1,a071073a130103,0131b370b1a3,31307131710137,170a10a103b17,10a1a0a1a3b01,10130a1017a0a1
O3T
None | 14 10 7,,,,,,,,, | dataset=solve_color group=least_popular_color_same predict=image image_width=medium image_height=medium task_pixels=b |
simon-solve-v1 predict image for 'O4T' | I0
25 18 2,2e82b82b82d82a82,,2,2e82b72b42d62a82,,,2,2e82b92b62d72a82,2,2e82b82b62d32a82,,,2,g2b82b82d82a82,,,2
O0
5 5 2c8,a8638,89678,87468,8
I1
14 15 2,2d92e92,,,2,2d92e12,,,,,2,2d12e32,,,2
O1
2 3 13,91,9
I2
17 17 2,2e7252e92,,,,,2,2e0252e62,,2,2e0b2e52,,,,,,2
O2
3 3 025,056,759
I3T
18 18 2,2a92e92e92,,2,2a92e92e02,,,,,,2,2a92e02e92,,,,,,2
O3T
None
I4T
25 25 2,2e42d92b52e42,,,,,2,2e62d92b62e62,,,,,,2,2e92d4d2e82,2,2e92d92b62e32,2,2e92d42b42e42,,,,,,2
O4T
None | 4 5 9b4,a963,9428,69a6,4954 | dataset=solve_grid group=extract_content_from_grid_flipy predict=image image_width=large image_height=large task_pixels=c |
Process simon-rle-image-pair and return the sum of histograms | 9 1 a6d5a4
2 6 04,5,,59,54,40 | 5:11,4:5,0:2,6:2,9:1 | dataset=image_pair group=add_histograms image_width=small image_height=small |
SIMONARCRLEIMAGEPAIR, Remove Histogram-B colors from Histogram-A | 1 7 5,0,,5,,,2
14 8 a3d8a3b8a3,383838383a8a38,8a31838a3c83,8a31b07a3b83,3a8183c83838,a38138a3e8,a835c8a3a838,385b8c3c8 | 2:1 | dataset=image_pair group=a_remove_b_colors image_width=medium image_height=small |
SIMONSOLVEV1, O4T, predict image | I0
7 7 9,,,a96c9,,e96,96d9
O0
7 7 2,2d82,c2a82,,c28a2,,2
I1
6 7 d07,,,c070,,,0
O1
6 7 2,2b8a2,2a8b2,,,,2
I2
8 6 37e8,36a7c8,86e8,836d8,a86d8,
O2
8 6 2,d2a82,,c2b82,,2
I3
8 3 a6b5b6,6,
O3
8 3 2,e282,2
I4T
3 7 4,a94,4,,,9a4,a49
O4T
None | 3 7 2,,,282,2,, | dataset=solve_outline group=outline_all8 predict=image image_width=small image_height=small task_pixels=a |
Simons-Histogram, exclude histogram a colors from histogram b | 8:11
8:1501,1:1491,3:1078,4:920,2:663 | 1:1491,3:1078,4:920,2:663 | dataset=histogram_two group=b_remove_a_colors histogram_size=d |
simon-solve-v1, O3T, predict image | I0
10 9 7,b756d7,b758a6b7,a75a7875a7,a75a7a5b7,a7575a78a7,7b5c787,75f78,7
O0
10 9 8,85e858,8,,,,,d8a5b8,8
I1
8 6 2,,e2a9,c2a9a2,a2a9c2,a9e2
O1
8 6 8,8c5b8,8a5d8,8,,
I2
3 6 5,,,2,565,a56
O2
3 6 8,858,8,,,
I3T
8 10 f24,e214,d2124,c21a24,b21a242,a81b242,21b8242,d2a82,2,
O3T
None
I4T
8 10 56a56b5,56d56,6a56c5,6a56b50,b5656a5,f56,56a5a8a5,a6a568a5,56056805,6560a525
O4T
None | 8 10 8,8b5c8,8a5d8,85e8,8,,,,8b5c8,8 | dataset=solve_outline group=outline_all8 predict=image image_width=small image_height=small task_pixels=a |
SIMONSOLVEV1 predict image for 'O2T' | I0
2 6 36,,63,68,43,3
O0
2 5 36,63,68,43,3
I1
4 2 a8a7,a874
O1
3 2 8a7,874
I2T
5 2 313a1,1c3
O2T
None | 4 2 3131,1b3 | dataset=solve_compress group=compressxy predict=image image_width=small image_height=small task_pixels=a |
simon-solve-v1 predict image for O4T | I0
4 2 6a36,6086
O0
4 2 08a6,a3a6
I1
2 8 43,23,3,6,63,64,83,4
O1
2 8 4,34,32,3,6,36,46,38
I2
8 2 a7b3870,7a030b7
O2
8 2 a030c7,7b38707
I3
2 7 53,2,23,,25,05,
O3
2 7 50,35,2,32,,52,50
I4T
7 5 c13a1,1601351,1601035,1d91,b9c4
O4T
None
I5T
5 6 a58a5,b585,a5985,5a6a5,51565,915a8
O5T
None | 7 5 a9c49,b13b1,60135a1,6010351,d9a1 | dataset=solve_translate group=translate_xminus1yplus1 predict=image image_width=small image_height=small task_pixels=a |
SimonsCellularAutomaton, HighLife with nowrap. steps=1. 0 is dead. 6 is alive. | 23 15 b6a0a6a0d6f060,c6f0c606e0,0b6f0e6e0,a0a6f0a6b06e0,g06f06b06a0,o0a6b060,n0b6b0a6,a0b6q0,b0b6e0a6h0,a0g6a0a6a06e0,0b60f6b0a6a06b0,0e6a0b6a0b6a0a6a0,a0d6b0b60a6d060,d0b6a0c6f0a6,b6a0g6g0a6 | 23 15 6a06e06b06g0,c06j06e0,6b06d06d0a6d0,0606f06a060a6d0,n0a6e0,s0b6,b06j0606b0a6,a06a06i06e0,f0a6b0a6h0,06j0c6e0,l06b060a6a0,l06d0a6a0,06m06c0a6,m06d06a0,06b06a0a6b06f0a6 | dataset=cellular_automaton group=highlife_nowrap ca_step=1 image_width=large image_height=medium |
SIMONIMAGEDILATION dilation mask nearest4 | 6 14 2d7,7a20a7,a70b7,,,7,,,,,,,, | 6 14 12a1a0,213210,0b2a0,0b1a0,,a01b0,0,,,,,,, | dataset=dilation group=apply_dilation image_width=small image_height=medium connectivity=nearest4 |
SIMONSOLVEVERSION1 predict image for 'O2T' | I0
12 7 a1h81,,,,a1a8a5d81,19h81,91h81
O0
12 7 a2h02,,,,,,
I1
7 15 a19a1a9,8,c85a8,,,,a191519,1b95a1,b195a1,c1519,a1915a1,c15a1,19a15a1,c15a1,
O1
7 15 2,0,,,,,2,,,,,,,,
I2T
10 15 1a9a1919a1,1h8,9h8,1h8,18b5d8,98b5d8,18b5d8,1h8,,9h8,1h8,,,,
O2T
None
I3T
15 15 a9b1a919d19,9b8b5g8,1b8b5g8,,,9b8b5g8,,1b8b5g8,,,,9b8b5g8,c1b51c9191,19a1b59f1,19a19b1a9a19a1
O3T
None | 10 15 2,2h0,,,,,,,,,,,,, | dataset=solve_zindex group=mask_of_obscured_rectangle predict=image image_width=medium image_height=medium task_pixels=b |
simons-cellular-automaton, HighLife with wrap. steps=1. dead=0 alive=3 | 21 23 0,,,,,e03m0,,0,,,,,k0303e0,n03d0,o03c0,m03e0,0,,,q03a0,0,, | 21 23 0,,,,,,,,,,,,,n03d0,,0,,,,,,, | dataset=cellular_automaton group=highlife_wrap ca_step=1 image_width=large image_height=large |
simon-solve-version1 predict image for O3T | I0
8 6 4a61a4a3,a4a98314,64a8b94,684a26a4,a126b41,51645414
O0
8 6 4,,47e4,4,,
I1
6 7 38a3a8,a36343,8a3a68,381a38,491b3,81c3,a873a8
O1
6 7 4,47c4,a47b4,b47a4,c474,4,
I2
7 6 a68a636,6a4c6,3a6a456,a693859,e65,368c6
O2
7 6 4,d474,4,,a47c4,4
I3T
6 4 a29792,2,2a9292,4d2
O3T
None
I4T
4 6 3232,3032,63a0,36a3,2b3,a323
O4T
None | 6 4 4,a47b4,b47a4,4 | dataset=solve_erosion group=apply_erosion_tlbr2 predict=image image_width=small image_height=small task_pixels=a |
Simons-ARC-Image-Mass identify places where max mass is 4, connectivity topleftbottomright2 | 11 4 38e30a3,a6a38b30a3,a86c30383,c32a303a8 | 11 4 1,,, | dataset=mass group=max_mass image_width=medium image_height=small connectivity=PixelConnectivity.TLBR2 max_mass=4 |
Simon-Solve-V1 predict image for O4T | I0
3 1 9a1
O0
3 1 191
I1
1 5 0,,,,
O1
1 5 0,,,,
I2
5 2 b212,2a1a9
O2
5 2 92a19,c21
I3
2 5 16,,31,21,90
O3
2 5 61,13,12,09,61
I4T
5 2 4a364,a42a3
O4T
None
I5T
2 6 52,21,25,5,54,45
O5T
None | 5 2 3a423,a4a36 | dataset=solve_translate group=translate_xplus1yminus1 predict=image image_width=small image_height=small task_pixels=a |
Simon-Solve-Version1 'O3T' predict the image | I0
5 6 010a1,10b1,b0a1,1,,1b01
O0
5 6 7,76b7,b767,a7a67,76b7,7
I1
6 7 b0460,06b06,4d0,0,a4a040,b0640,a0b40
O1
6 7 7,c767,7b6a7,b7a67,a7a6a7,7a6b7,7
I2
7 8 8a74b7,74d7,,474c7,7,474c7,7,b74b7
O2
7 8 7,b7b67,a767a67,767b67,a767a67,767b67,a7a6767,7
I3T
7 6 50a50a3,c0390,a0a9b0,09d0,0,
O3T
None | 7 6 7,,76b767,b7b67,7d67,7 | dataset=solve_erosion group=apply_erosion_trbl2 predict=image image_width=small image_height=small task_pixels=a |
Simon-Solve-Version1, 'O4T', predict the image | I0
2 8 0,,,,,,,
O0
1 1 0
I1
8 2 a16b7a6,6
O1
1 1 6
I2
2 13 8,,,,,,,,,,,,
O2
1 1 8
I3T
13 2 b8a3e9a8,j878
O3T
None
I4T
2 5 6,78,98,87,
O4T
None | 1 1 8 | dataset=solve_color group=most_popular_color_1x1 predict=image image_width=medium image_height=medium task_pixels=a |
simonsolvev1, O3T, predict image | I0
4 2 3043,9309
O0
20 12 d3d0d4d3,,,,,,d9d3d0d9,,,,,
I1
4 1 a797
O1
20 6 i7d9d7,,,,,
I2
2 2 61,16
O2
10 12 d6d1,,,,,,d1d6,,,,,
I3T
3 3 a83,8a0,984
O3T
None | 15 18 i8d3,,,,,,d8i0,,,,,,d9d8d4,,,,, | dataset=solve_scale group=x5up_y6up predict=image image_width=medium image_height=medium task_pixels=b |
Simon-ARC-RLE-Image-Pair, histogram-a without colors of histogram-b | 16 10 8b4c858148484,c8481a85b41a4,4b8a694825a8b1,c6a89b8258b4,41a8a498a4251b4,b8a42b48425841,481481421a4c58,1848f5c68,c5b6a4a84a8a1,a4c8a4b8b4a8
19 1 c8c3d7e3 | 4:48,5:21,1:15,6:13,2:6,9:3 | dataset=image_pair group=a_remove_b_colors image_width=medium image_height=small |
simons-image-erosion erosion mask with connectivity NEAREST4 | 4 14 a870,b80,7870,0a80,0707,0808,0807,0307,8a07,7a07,8078,70a8,10a8,87a8 | 4 14 0,01a0,0,,,,,,,,,,, | dataset=erosion group=apply_erosion image_width=small image_height=medium connectivity=nearest4 |
SIMONSOLVEV1 predict image for 'O3T' | I0
10 13 a4a0a404a0,40d40a4,4040d40,a0d4040,0e4b0,4,4040404a04,a0b4040a4,0c40a404,b40e4,f40a4,0a4d7a4,a4a04040a4
O0
10 13 1,,,,,,,,,,,b1d2a1,1
I1
13 10 0b4a040d4,4a0g474,0a4040a404074,040a40d474,c40e474,404a040c470,c4c0a4074,b40b4040474,a0a40d4a04,f40a4a04
O1
13 10 1,j121,,,,,,,1,
I2T
10 10 0a40e4,e40b4,40f40,4f7a4,,b40e4,,0a40e4,4,40g4
O2T
None
I3T
10 6 b4b040a4,a404a0b40,b4a74a0a4,4a0a704b0,4b0b40a4,d404b0
O3T
None | 10 6 1,,b1a2d1,,1, | dataset=solve_zindex group=mask_of_primary_rectangle predict=image image_width=medium image_height=medium task_pixels=b |
simonsolveversion1 predict image for O4T | I0
9 11 4c74747,b7474747,c74a747,d74b7,c7a4b7,a7b474a7,d4b74,7,7a4a74747,74c74a7,4b74c7
O0
9 11 7c47474,b4747474,c47a474,d47b4,c4a7b4,a4b747a4,d7b47,4,4a7a47474,47c47a4,7b47c4
I1
9 3 b86b8a6,,a8c6b8
O1
9 3 b68b6a8,,a6c8b6
I2
13 2 f3a73b7,37a3c7373a7
O2
13 2 f7a37b3,73a7c3737a3
I3
2 6 1,,,5,,1
O3
2 6 5,,,1,,5
I4T
9 10 5b0a5a05,g50,a0a50c5,g50,a0c50a5,05e05,05a050b5,0b5a0505,505a0b50,5a0a50505
O4T
None
I5T
2 6 6,63,6,63,6,3
O5T
None | 9 10 0b5a0a50,g05,a5a05c0,g05,a5c05a0,50e50,50a505b0,5b0a5050,050a5b05,0a5a05050 | dataset=solve_color group=swap_colors predict=image image_width=medium image_height=medium task_pixels=a |
SIMONSARCIMAGEDILATION dilation mask TRBL2 | 14 4 9d80a4d1,a1b4808d51,b7250a5b79a1,191a4a0e71 | 14 4 0l1,1d2121c20,1c212c12a1,f1b0b10 | dataset=dilation group=apply_dilation image_width=medium image_height=small connectivity=trbl2 |
FlipB simons-arc-image | 13 4 04504b740740,4a1407b4a075,073b12a50a70,a04036a1b5a4 | 4 13 4050,4a74,5707,5b0,a5a4,1547,1247,61a7,3104,0140,4315,0714,a040 | dataset=image_deserialize group=flipb image_width=medium image_height=small |
SIMON-SOLVE-VERSION1, 'O2T', predict the image | I0
2 1 15
O0
6 1 b1b5
I1
1 17 7,,,,,,,,,,,,,,,,
O1
3 17 7,,,,,,,,,,,,,,,,
I2T
5 11 c32,a3a23,b323,a32a3,32a37,32b3,37b3,3,37b3,7c3,7a373
O2T
None
I3T
3 3 9a7,a90,057
O3T
None | 15 11 k3b2,e3e2b3,h3b2b3,e3b2e3,b3b2e3b7,b3b2h3,b3b7h3,3,b3b7h3,b7k3,b7e3b7b3 | dataset=solve_scale group=x3up_y1 predict=image image_width=small image_height=medium task_pixels=a |
SIMON-SOLVE-VERSION1 predict image for O3T | I0
4 4 1,a363,1534,1634
O0
4 16 13a1,1356,16a3,13a4,a431,a361,6531,a131,a431,a361,6531,a131,4361,4351,36a3,1
I1
2 2 68,65
O1
2 8 6,85,58,6,58,6,56,86
I2
3 3 5a7,647,a37
O2
3 12 563,743,7,,347,365,7,347,365,7a3,746,a75
I3T
3 3 a70,908,058
O3T
None
I4T
2 2 8,31
O4T
None | 3 12 790,705,0a8,a80,507,097,a80,507,097,850,809,0a7 | dataset=solve_symmetry group='create_square_symmetry square vstack(flipa flipb flipb 180)' predict=image image_width=small image_height=medium task_pixels=a |
simonsolveversion1, O4T, predict image | I0
18 26 2,2b9292c32b6232,,,,2,2b4252c32b6232,,,,2,2b5242c42b5262,,,,,,2,2b3b2c42b4242,,,,,,2,2b9232c42b3252
O0
5 5 a3645,a6543,a3b4,95423,94539
I1
26 8 2,2d32c42d42a42c42,,2,2d82c3f2a82c62,,,
O1
2 5 46,48,42,43,38
I2
8 28 2,24242a42,,,2,24242a52,,,2,24242a52,,,,,,2,24252a62,,,,,,2,25212a62,,,,
O2
5 3 4a5a6,b451,c45
I3
27 14 2,2a62a72d32e52e52,,,,2,2a52a6f2e72e52,,2,2a52a32d62e62e62,,,,
O3
3 5 a56,576,326,763,6a5
I4T
22 4 2,2c42a42a42a62e42,2,2c42a82a62a8g2
O4T
None
I5T
20 13 2,2b42d72c32b02,,2,2b82d7e2b92,,2,2b42d42c92b02,,,,,
O5T
None | 2 5 42,68,46,48,4 | dataset=solve_grid group=extract_content_from_grid_ccw predict=image image_width=large image_height=large task_pixels=c |
Add two Simons-Histogram together | 0:1234
2:1172,6:796,9:795,4:780,1:762,3:281,8:260 | 0:1234,2:1172,6:796,9:795,4:780,1:762,3:281,8:260 | dataset=histogram_two group=add histogram_size=d |
SIMON-SOLVE-V1 'O2T' predict the image | I0
8 10 90b7606,09b4070,78904670,a489a740,07097b0,a7089674,a0408907,b0a4894,06a04847,a7040480
O0
8 20 90b7606,,09b4070,,78904670,,a489a740,,07097b0,,a7089674,,a0408907,,b0a4894,,06a04847,,a7040480,
I1
19 3 3d7d891b31a3,e8d19b1c9,k39313131
O1
19 6 3d7d891b31a3,,e8d19b1c9,,k39313131,
I2T
5 7 7a6a7,b6a7,a6b7,6b76,7b67,6c7,c76
O2T
None
I3T
13 3 b1a94a101a71,9b2c62c1,a0a1b58b160
O3T
None | 5 14 7a6a7,,b6a7,,a6b7,,6b76,,7b67,,6c7,,c76, | dataset=solve_scale group=x1_y2up predict=image image_width=medium image_height=medium task_pixels=a |
SIMONSOLVEVERSION1 'O5T' predict the image | I0
8 12 c9c5,,,,c5c9,,,,,,,
O0
8 18 a9e5,,a5a9c5,,,,c5a9a5,,e5a9,,,,c5a9a5,,e5a9,,,
I1
12 12 g9c5,,,,c9g5,,,,c5c9c5,,,
O1
18 18 c9a5c9g5,,a9c5a9i5,,a5a9c5a9g5,,c9m5,,a9o5,,a5a9m5,,e5c9g5,,e5a9i5,,g5a9g5,
I2
12 12 g5c9,,,,,,,,c9c5c9,,,
O2
18 18 o5a9,,,,k5a9a5a9,,o5a9,,,,k5a9a5a9,,c5a9i5a9,,,,a9a5a9e5a9a5a9,
I3
12 12 g9c5,,,,c5c9c5,,,,c9g5,,,
O3
18 18 c9a5c9g5,,a5a9c5a9g5,,a9c5a9i5,,e5c9g5,,g5a9g5,,e5a9i5,,c9m5,,a5a9m5,,a9o5,
I4T
16 12 k5c9,,,,c5k9,,,,c5g9c5,,,
O4T
None
I5T
16 8 c9g5c9,,,,g5g9,,,
O5T
None | 32 8 a9c5a9o5a9c5a9,,c5c9s5c9,,o5a9c5c9c5a9,,s5c9c5c9, | dataset=solve_fractal group=pattern_to_fractal predict=image image_width=medium image_height=medium task_pixels=c |
simon-solve-v1, O4T, predict image | I0
7 4 3,39b7a3,3e8,a375b8
O0
7 4 75b8a3,3,b7b39,d838
I1
4 6 2323,a2a3,2a37,2a73,a323,2
O1
4 6 2,2323,a3a2,3723,7327,2b3
I2
6 2 017b1,b1730
O2
6 2 1730a1,7b101
I3
2 3 51,38,83
O3
2 3 83,51,38
I4T
3 4 819,817,419,917
O4T
None | 3 4 791,981,781,941 | dataset=solve_translate group=translate_xminus2yplus1 predict=image image_width=small image_height=small task_pixels=a |
SimonCellularAutomata, Serviettes with wrapx and wrapy. Steps=1. Dead cells have value 2. Alive cells have value 6. | 21 21 2,,,,,,,,,,,,,,,,,,,, | 21 21 2,,,,,,,,,,,,,,,,,,,, | dataset=cellular_automaton group=serviettes_wrap ca_step=1 image_width=large image_height=large |
Simon-Image-Shape find shape3x3 bit 5 | 7 25 a510140,1470a40,a071b0,a0a7410,41a7104,b0a740,a04a7a0,1a07075,5a17020,0107020,a017240,1407254,0452741,14027a0,4502701,a020740,1020708,4241a80,1208740,2a81471,81a0470,0404070,10b571,1401040,40141a4 | 7 25 d010,e01,01d0,b010a1,e01,0a10101,c0a10,0,a01c0,a01a010,0,c0101,0,01c01,a0a1b0,e01,a01b01,c01a0,0101010,01d0,b0a1a0,a01c0,0,0b1b0,0 | dataset=shape group=shape3x3_center image_width=small image_height=large |
simon-histogram, remove histogram a colors from histogram b | 2:1127,4:1120,7:671,9:375,6:133,3:105
2:1301,5:1193,6:1152,8:1064,7:1058,4:680,9:527,1:108,3:35 | 5:1193,8:1064,1:108 | dataset=histogram_two group=b_remove_a_colors histogram_size=e |
Simon-Solve-V1, 'O3T', predict the image | I0
9 14 5,,b0a5a3a5,,,,5,,b1a5a0a5,,,5,,b1e5
O0
2 3 30,01,51
I1
21 8 5,,g5d8a5c7a5,,,5,,e7a5d3a5c6a5
O1
3 2 785,637
I2T
17 9 5,,e0a5b0a5a0a5,5,,e4a5b2a5a0a5,,,
O2T
None
I3T
19 19 5,,c6a5a6a56a5c7a5,5,,c6a5a6a57a5c3a5,,5,,c6a5a7a58g5,,5,,c4a5a8a58a5c4a5,,,,,
O3T
None | 4 4 7b6,37a6,5876,4a84 | dataset=solve_grid group=extract_content_from_grid_flipx predict=image image_width=large image_height=medium task_pixels=b |
Simon-Solve-Version1 'O2T' predict the image | I0
1 8 6,5,0,,,,,
O0
1 8 6,5,0,,,,,
I1
8 6 36326363,a63265a6,63b6502,a3b6a23,a68a2626,a8a32b6
O1
8 6 a3632636,b632656,263b650,b3b6a2,b68a262,6a8a32a6
I2T
6 6 3a9a39,31a9a1,9a3963,1b919,a39a31,16a196
O2T
None | 6 6 93a9a3,131a91,39a396,91b91,1a39a3,616a19 | dataset=solve_translate group=translate_xplus1 predict=image image_width=small image_height=small task_pixels=a |
SIMONIMAGESCALE, Given two images, recognize the transformation. x2up_y1,x2down_y1 | 22 24 a6a5c1a6a1a6g5,a4a1a5a4e1e5a6,c6a4a5a1a6g5a4,a5a1c5a1c5a4c6a5,a5a4a5a4a5a1a6a5a6a1a4,c6a5a6a5a1e5a4a6,a5a1a5c4c1a6a5a1a5,a6a5a1a5a4c1a4c1a5,a5a6g5a4e5a6,e5c6a1a4a6e5,a4c1c5c6a4a1a5a6,a4a6a1a5c6a5a6e5,a6a1g5a1c5a6a1,a6a1a4g5a6a5a4a5,a5a6a5a1a4a5a6a5c4a5,c5a6a1e5a6a1a5a6,a5a1a5a1c6a4a5a6a4a5,a5a4a6a5a1c5a6a4a5a6,e1c5a1a6e5a4,a5a4a5a1a6c5a1c5a1,c1c5a1a5a1c6c5,c5a1a6a1a5a4a5a1a5a6,a5c6c5a1e5a4a6,a5a1a5c1a6a5a4a5a1a5
11 24 65a1616c5,4154b1b56,a64516c54,51a51a54a65,54545165614,a65651b546,515a4a16515,65154a14a15,56c54b56,b5a6146b5,4a1a5a64156,4615a656b5,61c51a561,614c56545,56514565a45,a561b56156,5151a645645,54651a56456,b1a516b54,54516a51a51,a1a5151a6a5,a5161545156,5a6a51b546,515a1654515 | x2up_y1=0,x2down_y1=1 | dataset=scale group=recognize_transformation image_width=large image_height=large scalex=down2 scaley=down1 |
simon-solve-v1, O5T, predict image | I0
50 17 4,,,,4w5e6e5e6e54,,,4z5b5e6e5e64,,,4e6e5e6z5b54,,,4e5e6e5e6w54,,,4
O0
16 8 g5g6,,,,g6g5,,,
I1
54 34 4,,,c4b5h6z5h5a4,,,c4e6z5n5a4,,,c4h5b6z5h5a4,,,c4z5h6b5h6a4,,,c4w5e6e5e6e5a4,,,c4z5e5b6h5b6a4,,,c4b5h6b5h6b5h6k5a4,,,c4e6e5e6e5e6q5a4,,,c4h5b6h5b6h5b6k5a4,,,4,,,
O1
16 12 c6k5,,,,g5g6,,,,k6c5,,,
I2
36 56 4,,,c4q5e6b5d4,,,c4t5e6d4,,,c4z5d4,,,c4q5b6b5b6d4,,,c4e6t5d4,,,c4b5e6q5d4,,,c4z5d4,,,c4b6b5b6q5d4,,,c4e6b5e6b5e6b5d4,,,c4b5e6b5e6b5e6d4,,,c4z5d4,,,c4b6b5e6b5e6b5b6d4,,,c4h5e6k5d4,,,c4k5e6h5d4,,,c4z5d4,,,c4h5b6b5b6h5d4,,,4,,,,
O2
12 16 g5c6,,,,c6g5,,,,6,,,,c5c6c5,,,
I3
33 55 4,,,,,a4e5b6e5b6h5c4,,,a4b6e5b6n5c4,,,a4b5e6b5e6h5c4,,,a4b6b5e6b5b6h5c4,,,a4n5b6e5b6c4,,,a4h5b6e5b6e5c4,,,a4k5e6b5e6c4,,,a4h5b6b5e6b5b6c4,,,a4e5b6q5c4,,,a4b6w5c4,,,a4b5e6q5c4,,,a4b6b5b6q5c4,,,a4n5b6h5c4,,,a4h5b6n5c4,,,a4k5e6h5c4,,,a4h5b6b5b6h5c4,,,4,
O3
12 16 g6c5,,,,c5g6,,,,c6g5,,,,c5c6c5,,,
I4T
16 34 4,,,,,a4b5b6e5a4,,,a4b6h5a4,,,,,,a4h5b6a4,,,a4e5b6b5a4,,,,,,a4h5b6a4,,,a4e5b6b5a4,,,,,,4,
O4T
None
I5T
21 33 4,,,,c4b5b6e5d4,,,c4b6h5d4,,,,,,c4h5b6d4,,,c4e5b6b5d4,,,,,,c4h5b6d4,,,c4e5b6b5d4,,,,,,4,
O5T
None | 8 12 c6c5,,,,c5c6,,,,,,, | dataset=solve_fractal group=fractal_to_pattern predict=image image_width=other image_height=other task_pixels=other |
SIMON-SOLVE-VERSION1 predict image for 'O4T' | I0
12 13 79i7,79b7b6c7,9c7b6c7,9c7b679a7,d7b6c7,d5b6b57,,,,j57,j59,h79a7,b7979e7
O0
12 13 5,,,,,j25,,,,,,5,
I1
7 8 7e5,,7b5b6,,9b5b6,7b5b6,,
O1
7 8 5e2,,,,,,,
I2
7 13 c7597,9b75a7,b79597,c7579,c75a7,a9795a9,7d67,a797597,c75a7,,c75a9,a79b79,7
O2
7 13 c52a5,,,,,,,,,,,5,
I3
13 14 7,d79f7,e7679c7,e76a79b7,e56c5a7,,e56c597,,e56c5a7,j5a7,,,,c79g7
O3
13 14 5,,,,j2a5,,,,,,,,,5
I4T
14 6 9a79h59,a7f6c57,a7f69b79,79f6d7,a7f6a79a7,i79b7
O4T
None
I5T
10 15 97979a7b9,e79b7,h79,7b6c7a9,9b69b7a9,9b6a9c7,7b6d57,,7g57,,7a9f7,b979c79,e79b7,979e79,97979d7
O5T
None | 14 6 c5h25,,5,,, | dataset=solve_zindex group=mask_of_obscured_rectangle predict=image image_width=medium image_height=medium task_pixels=c |
SIMONIMAGEEROSION erosion mask with connectivity nearest4 | 15 4 64a64a64a264a64,b64646424a2b6,a4646a4642494a6,a6a46c4269a46 | 15 4 0,l010,0, | dataset=erosion group=apply_erosion image_width=medium image_height=small connectivity=nearest4 |
simonsolvev1 'O3T' predict the image | I0
16 18 2,,,b2e4e92,,,b2b9h42,,,b2b4e9b42,,,b2h9b42,,,2,,
O0
32 32 c4c9c4c9o4,,a9e4a9u4,,a4c9c4c9q4,,e9a4e9q4,,k4c9c4c9c4c9,,g4a9e4a9e4a9e4,,i4c9c4c9c4c9a4,,g4e9a4e9a4e9a4,,c4c9s4c9,,a9u4a9e4,,a4c9s4c9a4,,e9q4e9a4,,z44c9,,w4a9e4,,y4c9a4,,w4e9a4,
I1
22 17 2,,,d2b4e9b4d2,,,d2h4b9d2,,,d2b4h9d2,,,2,,,,
O1
32 18 a4c9s4c9a4,,e4a9u4a9,,a4e9q4e9,,a4c9c4c9c4c9i4,,e4a9e4a9e4a9g4,,a4e9a4e9a4e9g4,,a4c9y4,,e4a9w4,,a4e9w4,
I2T
13 18 2,,,,a2e9b4a2,,,a2b4b9b4a2,,,a2b4e9a2,,,2,,,,
O2T
None
I3T
16 13 2,d2e4d2,,,d2e9d2,,,d2b4b9d2,,,2,,
O3T
None | 8 18 4,,9,,a4a9a4a9,,4,,,,,,,,c9c4,,a4a9c4, | dataset=solve_fractal group=pattern_to_fractal predict=image image_width=other image_height=other task_pixels=d |
Rotate ccw simons-arc-image | 9 9 0a1a010a1,0a10d1,a01a0b10,8a15a19a0,781951541,71a8452a1,7a0285050,190184b3,1b010401 | 9 9 a1a0a1031,b1041530,0a1952034,d1a540,010154a81,b0598210,d18b0,a10181090,b08b7a1 | dataset=image_deserialize group=rotate_ccw image_width=small image_height=small |
Simon-Solve-Version1 predict image for 'O3T' | I0
24 19 3,e83a5353e53c83,,,,,3,e83a8353e53c83,3,e63a8363e83c23,,,,3,e5c363e83c23,,,,
O0
5 4 28635,28686,8a5a8,8b58
I1
9 25 3,2g3,,,,,,3,23e23,,,,,3,23e23,,,,3,23e23,,,,,
O1
2 4 2,,,32
I2T
8 12 3,a43c53,,,,,,3,a43c43,,,
O2T
None
I3T
27 9 3,53c13e53e63d53,,3,53c73e1g3d63,3,13c53e53e53d53,,
O3T
None | 5 3 c51,63175,56515 | dataset=solve_grid group=extract_content_from_grid_180 predict=image image_width=large image_height=large task_pixels=c |
SIMONSOLVEVERSION1 predict image for O4T | I0
6 8 d96,c969,b96a9,,096b9,061929,0c92,c932
O0
6 8 2,2020a2,20c2,2,,,,
I1
7 5 7,,,a7a3b7,a5a73a7
O1
7 5 2,2d02,d202,c20a2,2
I2
8 6 507d5,0f5,5,,,b57c5
O2
8 6 2,c2b02,a2d02,2e02,20202a02,2
I3
6 6 9d4,52c4,5d4,45c4,48c4,
O3
6 6 2,a2b02,b2a02,,,2
I4T
6 6 b3434,d31,4c31,b3414,438313,3430a3
O4T
None
I5T
7 7 2,,,d282,c2782,2,
O5T
None | 6 6 2,b20a2,20c2,a20b2,20c2,2 | dataset=solve_erosion group=apply_erosion_corner4 predict=image image_width=small image_height=small task_pixels=a |
simons-image-scale, Given two images, recognize the transformations. x4up_y1,x2up_y1,x1_y1,x3up_y1 | 5 3 18a28,1c9,a9078
30 12 e1e8k2e8,,,,e1w9,,,,k9e0e7e8,,, | x4up_y1=0,x2up_y1=0,x1_y1=0,x3up_y1=0 | dataset=scale group=recognize_transformation image_width=small image_height=small scalex=up6 scaley=up4 |
SIMONSOLVEV1 'O5T' predict the image | I0
9 10 c0802a0,,b08a2040,b08b040,a98b9040,0a202c0,b0c2a0,c2d0,0,
O0
9 10 8,87f8,,8,,,,,d8b78,8
I1
6 6 6,,b60a6,6a0b6,0d6,6
O1
6 6 8,87c8,8,,c878,8
I2
9 3 4,,
O2
9 3 8,8f78,8
I3
5 9 b197,14571,15171,157a1,517a1,17b1,,7c1,a14a1
O3
5 9 8,,,,,,b878,8,
I4T
8 9 f56,,a51c50,b515a20,c5a160,b52a510,5a2b561,2e05,5
O4T
None
I5T
9 8 d68b6,6,8g6,a68b68a6,8g6,c6a7686,a6a78b68,a7c6b8
O5T
None | 9 8 8,a8a7b878,c87c8,,8,,, | dataset=solve_outline group=outline_all8 predict=image image_width=small image_height=small task_pixels=b |
SIMONSOLVEVERSION1, O4T, predict image | I0
12 10 8,,8h4a8,,,,,,8,
O0
12 10 5,,,,,,,,,
I1
10 13 a7e471,a7e4a7,a7e471,a7e4a7,a8e4a8,,,,,,17e471,71e4a7,
O1
10 13 6,,,,5,,,,,,6,,
I2
15 7 1b71c7a871a7,4,,,,,17a1d7a8c7
O2
15 7 h6a5c6,,,,,,
I3
7 15 8,,,,,,8d48,,,8,,,,,
O3
7 15 5,,,,,,,,,,,,,,
I4T
7 14 717b48,b7b48,1a7b48,717b48,b7b48,1c7a8,71b7a8,d7a8,,,,7,c71a7,7
O4T
None
I5T
9 11 7,b71d7,717d87,717d81,b7d87,,7a1d87,7e487,7e481,7e4a7,
O5T
None | 7 14 d6a5,,,,,,,,,,,6,, | dataset=solve_zindex group=mask_of_obscured_rectangle predict=image image_width=medium image_height=medium task_pixels=c |
SimonsHistogram, exclude histogram a colors from histogram b | 5:935,1:344,7:297,0:17
8:1523,9:1443,6:912,2:895,4:842,0:776,5:619,3:232 | 8:1523,9:1443,6:912,2:895,4:842,3:232 | dataset=histogram_two group=b_remove_a_colors histogram_size=d |
Simon-Solve-V1 'O3T' predict the image | I0
48 27 e6b2h6b2b6k2e6b2b6,,,b2b6h2b6t2b6e2,,,b6b2b6b2b6b2b6n2b6b2b6b2,,,k2e6b2b6w2,,,n2b6z2b2,,,k2b6b2b6z2,,,e6b2b6k2e6b2b6k2,,,b2b6t2b6q2,,,b6b2b6n2b6b2b6n2,,
O0
16 12 g2c6c2,,,,c6c2g6,,,,c2c6c2c6,,,
I1
27 12 b6b2b6h2b6b2b6,,,b6n2b6e2,,,b6b2b6q2,,,b6w2,,
O1
12 8 c2c6c2,,,,c2g6,,,
I2T
12 12 h2b6,,,e2b6b2,,,b2b6e2,,,b6h2,,
O2T
None
I3T
48 12 z2q2b6,,,z2k2h6,,,t2b6h2b6h2b6,,,n2h6b2h6b2h6,,
O3T
None | 16 8 k6c2,,,,c6k2,,, | dataset=solve_fractal group=fractal_to_pattern predict=image image_width=other image_height=large task_pixels=d |
SIMONSIMAGEDILATION dilation mask with connectivity tb2 | 15 14 84d8584a8a64,86a869a5864a848,6a4845054c894,848985a85d84,9686508452a6846,94858069a8269a8,a85a90a86892b8,a958098e6a8,95d6c894a8,86890b84a84a84,6b80a4a8648686,4a80496b4c84,84604696c4b8,a8646484d868 | 15 14 01a0b1a0a10b1,1210b201a201a2,212121212a1a021,2a1a2a12c1021,120a2a121a2a1a2,121a20b21212a1,a21a2a12a1b2a0,121b2121c2a0,1e212a1a201,a2121a202a1a202,21021a21b21202,2c1b2a12a102,12b1b2a1a20a1,010h1010 | dataset=dilation group=apply_dilation image_width=medium image_height=medium connectivity=tb2 |
simonsolveversion1, 'O3T', predict the image | I0
14 3 b23a232b3032,b2d3e2,b3f23b2
O0
14 3 2,,
I1
3 7 590,5a0,409,,749,a94,
O1
3 7 9,,,,,,
I2T
7 13 474a7a4,47b474,a7b474,74a7a47,a7a4747,a74b74,d7a4,7a4a7a4,747b47,c7474,b7c4,b4a7a4,a4a74a7
O2T
None
I3T
13 2 7f34c0,0a2a4b9a08a0
O3T
None | 13 2 0, | dataset=solve_color group=most_popular_color_same predict=image image_width=medium image_height=medium task_pixels=a |
SIMONSOLVEVERSION1, 'O3T', predict the image | I0
11 7 6b0a5a05a0,6030a5a0a50,56505b05a0,06a5b05150,e0c53,5765c0b5,a0b73c05
O0
1 1 0
I1
7 9 3a138a1,8b1831,b18138,1a81a81,8a1a818,b183a1,a13c1,a83a131,a181813
O1
1 1 1
I2
9 6 a85a8a250,0d5a87,b50b507,8f57,g58,858a0a502
O2
1 1 5
I3T
6 5 4,,,,
O3T
None
I4T
5 13 4c8,b4a8,47545,84585,74785,,78785,85758,a8758,a8578,85878,b878,8
O4T
None | 1 1 4 | dataset=solve_color group=most_popular_color_1x1 predict=image image_width=medium image_height=medium task_pixels=a |
SimonsImageDilation dilation mask TLBR2 | 6 3 4,9, | 6 3 d10,0d1,0 | dataset=dilation group=apply_dilation image_width=small image_height=small connectivity=tlbr2 |
simonsolveversion1, 'O4T', predict the image | I0
20 2 2,
O0
20 1 2
I1
2 14 91,,49,,1,,91,,,,14,,19,
O1
2 7 91,49,1,91,,14,19
I2
14 2 d4g01,
O2
14 1 d4g01
I3
1 12 2,,,,3,,,,,,,
O3
1 6 2,,3,,,
I4T
11 2 d2a3c2,
O4T
None | 11 1 d2a3c2 | dataset=solve_scale group=x1_y2down predict=image image_width=medium image_height=medium task_pixels=a |
Simon-Image-Scale, Given two images, recognize the transformations. x1_y1,x2up_y1 | 19 5 a7575b75b75a75757,a4a25a757575a7a5757,a7b4c2a7a5a75a75,57a57a54d5b7a57,f7c5757b5a7
19 20 a7575b75b75a75757,,,,a4a25a757575a7a5757,,,,a7b4c2a7a5a75a75,,,,57a57a54d5b7a57,,,,f7c5757b5a7,,, | x1_y1=0,x2up_y1=0 | dataset=scale group=recognize_transformation image_width=medium image_height=small scalex=up1 scaley=up4 |
simon-solve-version1 predict image for O2T | I0
18 19 0a6b0a6c7a6a7a6,,,6,,4a6b7a6c0a6a3a6,,,,,,6,,0a6b2a6c1e6,,,,,
O0
3 4 637,107,270,040
I1
13 28 e0a6b9a6,,,,,6,,e9a6b9a6,6,,e5a6b9a6,,,,,,6,,e9a6b9a6,,,,,6,,e0a6b0a6,,
O1
5 2 0c9,09590
I2T
12 20 d6d3a6,,,,6,,b1a6d1a6,,,,,,6,,b1a6d3a6,6,,b9a6d3a6,,
O2T
None | 4 2 a313,9a16 | dataset=solve_grid group=extract_content_from_grid_flipb predict=image image_width=medium image_height=large task_pixels=b |
simonsolveversion1, 'O3T', predict the image | I0
18 10 6,a6g5c0c6,,,,a6g0c5c6,,,,6
O0
36 16 g5c0g5o0,,,,g0c5g0c5k0,,,,w0g5c0,,,,z0d0c5,,,
I1
25 19 6,,c6c5g0c5d6,,,,,,,,c6c5c0c5c0d6,,,,6,,,,
O1
64 36 c5g0c5z0d0c5g0c5,,,,,,,,c5c0c5z0h0c5c0c5c0,,,,c5g0c5z0d0c5g0c5,,,,,,,,c5c0c5z0h0c5c0c5c0,,,,c5g0c5o0c5g0c5o0,,,,,,,,c5c0c5s0c5c0c5s0,,,
I2
15 23 6,,,,,c6c0c5b6,,,,c6c5c0b6,,,,c6g0b6,,,,c6g5b6,,,,6,
O2
16 64 k0c5,,,,g0c5c0,,,,0,,,,g0g5,,,,c0c5g0,,,,c5k0,,,,0,,,,g5g0,,,,0,,,,,,,,,,,,,,,,c0c5c0c5,,,,c5c0c5c0,,,,0,,,,5,,,
I3T
21 15 6,,d6c0g5c6,,,,d6c0c5c0c6,,,,6,,,,
O3T
None
I4T
14 12 6,,,d6c0c56,,,,d6c5c06,,,,6
O4T
None | 36 16 o0g5c0g5,,,,o0c5g0c5c0,,,,o0g5k0,,,,o0c5o0,,, | dataset=solve_fractal group=pattern_to_fractal predict=image image_width=other image_height=other task_pixels=e |
Simon-Solve-V1, 'O4T', predict the image | I0
4 13 3,,a324,b34,a343,,38a3,,a383,,b36,3,
O0
1 1 3
I1
13 6 46a464b64b6,64b6a4a6b76,c46c7b46,a6a87464d6,64a6a846d4,b64648a4a646
O1
1 1 6
I2
6 1 3d9
O2
1 1 9
I3T
4 8 5765,a563,a576,6576,7535,a575,5,57a5
O3T
None
I4T
3 7 576,5,635,7a5,5,a56,567
O4T
None | 1 1 5 | dataset=solve_color group=most_popular_color_1x1 predict=image image_width=medium image_height=medium task_pixels=a |
Simons-Image-Erosion mask when doing erosion ALL8 | 5 14 97b9,87b9,857a9,895a9,8a949,,8c9,98b9,,,28b9,92b9,,9 | 5 14 0,,,,,,,b010,,,,,,0 | dataset=erosion group=apply_erosion image_width=small image_height=medium connectivity=all8 |
SIMON-SOLVE-VERSION1 'O2T' predict the image | I0
6 11 18b18,b8b1,c181,b1681,b86a1,818618,a186a8,a81868,a1a861,181b8,a18b1
O0
1 1 6
I1
11 12 3b8484a8a9,a893a848418,a4a8484a914,a8a48a981a8,838a94a8139,9a84a941b8,983a8a914a8,8d919b8,46484e9,36b8148498,961a81d8,b8a19d8
O1
1 1 6
I2T
12 12 e20a2020,202b0b2402,b20a2b0420,b202a024b2,02b0a2040a2,20b2a04a282,a0d242080,2020a242a080,20a2a04b582,a20c5059a0,2a5a240592a0,2a0a4a2a02a0
O2T
None | 1 1 9 | dataset=solve_color group=least_popular_color_1x1 predict=image image_width=medium image_height=medium task_pixels=a |
SIMONSOLVEVERSION1 predict image for 'O3T' | I0
17 13 7,c27b67b27a070,,,,,,7,c0d7b07a072,,,,7
O0
2 5 02,76,02,0,20
I1
10 24 7,a5737a57a6,,,,7,a5757a87a6,,7,b757a27a8,,,7,a5787a87a5,,,7,a5757a37a5,,,,,,7
O1
5 4 a57a5,58a53,38285,a58a6
I2T
12 10 7,c3717d3,,,,7,c3737d2,,,7
O2T
None
I3T
14 15 7,b4d7e4,,,,,,7,b27b47e4,,,,,,7
O3T
None | 2 3 24,47,4 | dataset=solve_grid group=extract_content_from_grid_cw predict=image image_width=medium image_height=large task_pixels=b |
SIMONIMAGESYMMETRY apply symmetry hstack(orig flipx) | 25 21 b56a549a59b5454a5654565,4c54b54b545459b5c4,b59b59a4954a569c545a9,5656a54c56b5945a94a5a4,546549454h56b5a45,a59b54b54a536a5b494545,59454a65a64643b5454954a5,564c59a5453495a659a5b4,6a59b5454a53e5654b5,c56b5a4a5354b54c595,49a5a4a5a4534a6a5b4a5a45,g546536c4a854b59,9a54546b505a45a857954565,d5a45a0b5943b57a5659,4e50f543947b595,5b4540a569594b53849c5,4b54054d5a9498a3949a5,b5a0a54b59a56a38a5456a4,54065456a5b43a28a46a4594,504c59a45b2b54549a4a5,b54f5654c54b5465 | 50 21 b56a549a59b5454a565456a565456a5454b59a594a56b5,4c54b54b545459b5g4b595454b54b54c54,b59b59a4954a569c545c954c596a5459a49b59b5,5656a54c56b5945a94a5c4a54a9549b56c54a56565,546549454h56b5a4a5a4b56h5454945645,a59b54b54a536a5b49454a54549b4a563a54b54b59a5,59454a65a64643b5454954c5459454b53464a65a645495,564c59a5453495a659a5e4a595a6594354a59c5465,6a59b5454a53e5654e5456e53a5454b59a56,c56b5a4a5354b54c59a59c54b5453a5a4b56c5,49a5a4a5a4534a6a5b4a5a4a5a4a5b4a5a6435a4a5a4a594,g546536c4a854b5a9b545a8c463564g5,9a54546b505a45a85795456a56545975a85a450b56454a59,d5a45a0b5943b57a565a956a57b5349b5a05a4d5,4e50f543947b59a59b574934f50e54,5b4540a569594b53849g59483b549596a5045b45,4b54054d5a9498a3949c5949a3894a9d54504b54,b5a0a54b59a56a38a5456c4654a58a36a59b54a5a0b5,54065456a5b43a28a46a459a495a46a48a23b4a565456045,504c59a45b2b54549a4c5a49454b5b25a49c5405,b54f5654c54b546a564b54c5456f54b5 | dataset=symmetry group=symmetry image_width=large image_height=large instruction_sequence='hstack(orig flipx)' |
simonshistogram, unique color list | 1:5726,3:5279,2:3742,6:3389,8:2427,4:699 | 1,2,3,4,6,8 | dataset=histogram_one group=unique_colors histogram_size=e |
SimonArcImageScale scale-y up by 4 | 16 7 a1a613b6a36c1,831a6a3b162a613,3a86a02162a6b13,b6a83a0a2131631,3b628a3a0e6,b2b628360261a6,61c6a213121363 | 16 28 a1a613b6a36c1,,,,831a6a3b162a613,,,,3a86a02162a6b13,,,,b6a83a0a2131631,,,,3b628a3a0e6,,,,b2b628360261a6,,,,61c6a213121363,,, | dataset=scale group=scale_input image_width=medium image_height=small scalex=down1 scaley=up4 |
SIMONSARCIMAGEDILATION mask when doing dilation tlbr2 | 5 10 b474,4a7a4,4,a41a4,a4095,71a05,79a05,41a05,a4a05,7a494 | 5 10 a1010,0a201,0b10,01210,b121,12b1,,02b1,a02a1,b0a1 | dataset=dilation group=apply_dilation image_width=small image_height=small connectivity=tlbr2 |
SIMONSOLVEVERSION1 'O4T' predict the image | I0
19 33 6,,a3a6a7a6d7a6a7a6,,,,,,6,,a3a6a1a6d4a6a4a6,,6,,a1e6d9a6a1a6,,,,,6,,a3a6a1a6d9a6a1a6,,,,,6,,a9a6a1a6d9a6a1a6,,,,
O0
5 4 a3139,716a1,74b9,74b1
I1
27 11 6,,e3a6a3a6d3a6e3a6,,,6,,e3e6d3a6e3a6,,,
O1
2 4 3,36,3,
I2
12 22 6,,b5a6d4a6,,6,,b5a6d4a6,,6,,b5a6d4a6,,,6,,b0a6d8a6,,,6,,b8a6d8a6,
O2
5 2 b508,b4a8
I3T
26 18 6,,c0a6c0a60a6b0a6c4a6,,6,,c7a6c2a62a6b4a6c8a6,6,,c0a6c2a62a6b8a6c0a6,6,,c0a6c2d6b0a6c0a6,,,,,
O3T
None
I4T
28 21 6,,b8a6b8a6e8a6b8a6b8a6,,,6,,b7a6b8a6e8a6b7a6b8a6,,,6,,b8a6b8a6e8a6b7a6b8a6,,6,,b7a6b8a6e7a6b8f6,,,,
O4T
None | 4 5 8787,8,b87,8a78,b86 | dataset=solve_grid group=extract_content_from_grid_flipa predict=image image_width=large image_height=other task_pixels=d |
SIMON-SOLVE-VERSION1 predict image for O2T | I0
18 18 a1c3k1,,e3k1,,1,,,,,,,,a1c3a1c3a1c3,,3,,1,
O0
9 9 b3e1,,,1,,,3,,
I1
32 32 a1c3s1c3a1,,a3c1a3o1a3c1a3,,,,a1c3s1c3a1,,i1c3c1c3i1,,g1a3c1c3c1a3g1,,,,i1c3c1c3i1,,,,g1a3c1c3c1a3g1,,,,i1c3c1c3i1,,a1c3s1c3a1,,a3c1a3o1a3c1a3,,,,a1c3s1c3a1,
O1
12 12 b3e1b3,,,b1e3b1,,,,,,b3e1b3,,
I2T
32 32 g1a3c1c3c1a3g1,,g1a3a1a3a1a3a1a3i1,,i1c3c1c3i1,,,,g1a3c1a3g1a3c1a3,,g1a3a1a3i1a3a1a3a1,,i1c3k1c3a1,,,,a3c1a3o1a3c1a3,,a3a1a3q1a3a1a3a1,,a1c3s1c3a1,,,,a3c1a3o1a3c1a3,,a3a1a3q1a3a1a3a1,,a1c3s1c3a1,,,
O2T
None
I3T
18 8 e1a3a1a3e1,,i1a3e1,,a3a1c3a1a3e1,,c1a3c1a3e1,
O3T
None | 12 12 b1e3b1,,,b1b3b1b3,,,b3e1b3,,,,, | dataset=solve_fractal group=fractal_to_pattern predict=image image_width=other image_height=other task_pixels=d |
SIMON-SOLVE-VERSION1 predict image for 'O2T' | I0
12 6 5,6d56d5,d5656a5a6,b6a56a56565,5b6a56a56a5,5656b5656a5
O0
1 1 5
I1
6 12 a03b0,a08304,a684a0,a08a03,08c0,08a4a0,023b0,024a03,203b0,24c0,a40403,a04b0
O1
1 1 0
I2T
12 9 9,,,,,,,,
O2T
None | 1 1 9 | dataset=solve_color group=most_popular_color_1x1 predict=image image_width=medium image_height=medium task_pixels=a |
SIMONS-HISTOGRAM, unique color list | 5:1445,3:1042,9:600,0:342,8:104
4:479 | 0,3,4,5,8,9 | dataset=histogram_two group=unique_colors histogram_size=d |
SimonsImageScale scalex=down4 | 24 24 c6c4c6c4c6c4,c6k4c6c4,k4c6g4,4,c4c6o4,c4c6c8g4c6,c4c6c8c4c6c4,c4c7c8c4c6c4,c4g7k4,c7c4c7k4,c4c6c8c7c6c4,c4c1c8c7g4,c6c2c1c4c7c4,c4c2c4c1c7c6,c4c2g4c1c7,c6c2c4c6c4c7,c4c2o4,,c4c2g4c6c4,c4c2k4c6,c6c2g4c6c4,g4c6k4,c4c6o4,s4c6 | 6 24 646464,6b464,b46a4,4,46c4,468a46,468464,478464,4a7b4,747b4,468764,4187a4,621474,424176,42a417,624647,42c4,,42a464,42b46,62a464,a46b4,46c4,d46 | dataset=scale group=scale_input image_width=large image_height=large scalex=down4 scaley=up1 |
SIMONSIMAGEMASS identify places where max mass is 7, connectivity lr2 | 7 19 3,,38d3,,3a8c3,3a81b3,38a3a13,38c31,38d3,,,,,,,,,3, | 7 19 1,,,,,,,,,,,,,,,,,, | dataset=mass group=max_mass image_width=small image_height=medium connectivity=PixelConnectivity.LR2 max_mass=7 |
simonsolveversion1, O4T, predict image | I0
5 1 b8a7
O0
5 1 a7b8
I1
1 2 6,7
O1
1 2 7,6
I2
2 6 9,,,09,,9
O2
2 6 9,90,,9,,
I3T
6 1 0
O3T
None
I4T
1 10 3,,,8,,,,,6,
O4T
None | 1 10 6,,8,,,,,3,, | dataset=solve_rotate group=rotate_180 predict=image image_width=small image_height=small task_pixels=a |
SimonsImageMass identify places where max mass is 8, connectivity corner4 | 13 19 6c268262686,626265a62a865,a2a65a85a8026,6a2658a280285,6852a62840652,282525a406526,25a2546205685,686248202a626,6584650a28262,c2620528562,a25820c2828,6b82025b062,b68c062a65,265c2626586,a6826c256a2,862a6a26c26,6a268a2825b2,2868a2a528652,6c26b28262 | 13 19 1,,,,,,,,,,,,h10b1,c101010c1,b101010d1,a10b1010c1,10b10f1,0b10g1,1010h1 | dataset=mass group=max_mass image_width=medium image_height=medium connectivity=PixelConnectivity.CORNER4 max_mass=8 |
SimonsImageShape find shape3x3opposite bit 0 | 18 5 2,,b2e8h2,h2f8a2,2 | 18 5 0,01e0h10,0f1f0a10,0b1e0f10,0 | dataset=shape group=shape3x3_opposite image_width=medium image_height=small |
Simon-ARC-Image-Erosion mask when doing erosion TRBL2 | 3 19 6,8a6,6,,,868,686,367,867,637,627,127,a57,695,6a9,2a9,297,235,635 | 3 19 0,010,,,0,010,0,,,,,,,,,,,, | dataset=erosion group=apply_erosion image_width=small image_height=medium connectivity=trbl2 |
SIMON-SOLVE-V1 'O3T' predict the image | I0
8 3 89e6,71b69a6,6
O0
8 3 9,b97c9,9
I1
5 8 a6056,62a56,625a0,9a2a6,95150,9c6,69b6,690a6
O1
5 8 9,,,,,,b979,9
I2
7 6 8487848,b8a748,b87874,1817027,42a08a1,a0a2b8
O2
7 6 9,,97d9,9,,
I3T
7 4 7,a7a2b7,c72a7,7
O3T
None
I4T
5 6 0c5,0b53,135a3,1b53,1a353,13b5
O4T
None | 7 4 9,d979,97d9,9 | dataset=solve_erosion group=apply_erosion_nearest4 predict=image image_width=small image_height=small task_pixels=a |
Simons-ARC-Image-Pair, intersection of colors of the two images | 14 3 29292a9e76,f7b36a26,a2a3a29a626a25
6 6 587a57,7a5858,b8785,a8c7,8a5a78,57a578 | 5,7 | dataset=image_pair group=color_intersection image_width=medium image_height=small |
SIMONSOLVEVERSION1, 'O4T', predict the image | I0
8 5 f35,c7a957,c7a5a3,b753b7,7
O0
8 5 6,,61e6,6a1d6,6
I1
4 7 3b9,1390,b12,01a5,a909,b90,9
O1
4 7 6,,,,,a616,6
I2
7 6 2b80a8,62a80a8,b650a8,86a0b8,a890b8,b80b8
O2
7 6 6,,,,d616,6
I3T
6 5 20c2,209b4,20b28,25c2,5d2
O3T
None
I4T
6 6 769656,759b6,7d6,676969,9765a6,57a659
O4T
None | 6 6 6,c616,6,,, | dataset=solve_erosion group=apply_erosion_corner4 predict=image image_width=small image_height=small task_pixels=a |
SimonsArcImageDilation dilation mask with connectivity trbl2 | 9 6 g89,e8a98,c809b8,a80a9c8,b0e8,8 | 9 6 f010,d0b10,b01201a0,0a121c0,a121d0,a1f0 | dataset=dilation group=apply_dilation image_width=small image_height=small connectivity=trbl2 |
SIMONSOLVEVERSION1, O2T, predict image | I0
4 1 b21
O0
4 1 1b2
I1
1 1 5
O1
1 1 5
I2T
1 6 5,,4,,0,
O2T
None | 1 6 5,,4,,0, | dataset=solve_translate group=translate_xplus1 predict=image image_width=small image_height=small task_pixels=a |
simonsolveversion1 predict image for 'O5T' | I0
7 4 19d1,b19191,d191,19d1
O0
4 7 1,1a91,1,19a1,1,9a19,1
I1
4 9 6b9,6b8,9b8,2584,2954,2854,2045,2018,8
O1
9 4 9a8b45a8,9b8a5418,9a8598a08,a69d28
I2
9 3 a15b80a5,35e85,d5b05
O2
3 9 5,580,080,a80,a85,,585,1a5,135
I3
3 4 a86,8,686,6a8
O3
4 3 6868,8,a8a6
I4T
4 2 3637,7a56
O4T
None
I5T
2 10 4,,,,,,,,,
O5T
None | 10 2 4, | dataset=solve_rotate group=rotate_ccw predict=image image_width=small image_height=small task_pixels=a |
Simon-ARC-Image-Shape identify places where shape3x3opposite contains bit 3 | 12 22 13a13c19a1,191613a1b31,1916a139a3a1,3a16d1391,b163b13a13,b16d13a1,c1693d1,c16b19a18,a19c6c18,3a186a1a2181,b136a2b189,c16e13,9b1683138a1,9a31683198a1,9b168918b1,3a13618189a1,c1368989a1,3c16381319,d16181a31,93b16191931,a1a3163d1,b1916a1a313 | 12 22 01a010a101a0,010101b01a0,0101b01c0,b010b1c0,01c0101b0,01010b101a0,0a1d0b10,0a1010101b0,c0a1a0a1a0,i010,01e01b0,0a1010c1a0,a01c01c0,0,a01d01010,e0a1c0,0a1c0a1b0,a0a1d01a0,0b10101c0,b01010a1b0,g0b10,010101c010 | dataset=shape group=shape3x3_opposite image_width=medium image_height=large |
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.
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