instruction stringclasses 399
values | input stringlengths 112 3.22k | output stringlengths 1 528 | arc_task stringlengths 335 9.78k | test_index int64 0 1 | earlier_output stringclasses 1
value | benchmark stringclasses 437
values |
|---|---|---|---|---|---|---|
simon-solve-v1, O3T, predict raw pixels | I0
19 18 4,,,,,,e4a78787f4,e4a7a8a7f4,e4c787f4,e4a878a7f4,e47a8b7f4,e4e7f4,4,,,,,
O0
6 6 a87878,a8a7a8,c878,a787a8,8a7b8,8
I1
7 13 4,,,,a4727a4,a4a72a4,a4b7a4,4,,,,,
O1
3 3 272,a27,2
I2
11 11 4,,,b4b717a17,b4d71a7,b4b71a717,b4b717a17,4,,,
O2
8 4 b171a71,d17a1,b17a171,b171a71
I3T
14 11 4,d47a070c4,d4a0b7c4,d4a70a7c4,d40... | 07707
77000
00700
70070
07000
77770
00000
77700 | {"train":[{"input":[[4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,7,7,8,7,8,7,4,4,4,4,4,4,4],[4,4,4,4,4,4,7,7,8,8... | 0 | dataset=solve_color group=replace_color_different_palettes crop palette_h predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b | |
SIMONSOLVEVERSION1 predict pixels for O3T | I0
7 13 2b7a53,2757a52,2a5a753,2a57573,2a75a72,2575a73,2b7573,2757572,2757a53,27b572,27b573,,2a5b72
O0
7 13 2b7a53,757a5a2,2a5a753,2a57573,a75a7a2,2575a73,2b7573,75757a2,2757a53,7b57a2,27b573,,a5b7a2
I1
15 17 2h7a5a72,2b57d57a573,2a75f75a73,2a57b575a7a572,2a575b7575b73,2a7a575a757a573,25a757575b7573,2757575a7a57572,275... | 7757777777522
7757577557722
7757555777522
2775757755553
2555557777753
2577575555573
2757555777773
7775555755722
2755555557753
7777755577722
2755555777573
7577775575722
7775557777722
2755557555553
2577577777773
7557555555522
2777777777773 | {"train":[{"input":[[2,7,7,7,5,5,3],[2,7,5,7,5,5,2],[2,5,5,7,7,5,3],[2,5,5,7,5,7,3],[2,7,7,5,7,7,2],[2,5,7,5,7,7,3],[2,7,7,7,5,7,3],[2,7,5,7,5,7,2],[2,7,5,7,5,5,3],[2,7,5,5,5,7,2],[2,7,5,5,5,7,3],[2,7,5,5,5,7,3],[2,5,5,7,7,7,2]],"output":[[2,7,7,7,5,5,3],[7,5,7,5,5,2,2],[2,5,5,7,7,5,3],[2,5,5,7,5,7,3],[7,7,5,7,7,2,2],[... | 0 | dataset=solve_deform group=deform_line rotate_2 displacement_-1 predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c | |
SIMON-SOLVE-V1, 'O3T', predict the pixels | I0
20 13 e3131i35,i3131e30,a31i31d30,d31l36,g31i36,r36,j31e315,g313131e35,c31f31a31b39,c31g31b3139,a31n317,a31d31i37,g3131g37
O0
19 13 e1515i1,i1010e1,a10i10d1,d16l1,g16i1,1,j15e15,g151515e1,c19f19a19b1,c19g19b191,a17n17,a17d17i1,g1717g1
I1
19 21 d2a5e7e6,1a3c1313b13b1a3,a131b3a1b31a31313,a13a13d1313c13,31b31c313e13,a1... | 222212
777717
555555
222222
771777 | {"train":[{"input":[[3,3,3,3,3,3,1,3,1,3,3,3,3,3,3,3,3,3,3,5],[3,3,3,3,3,3,3,3,3,3,1,3,1,3,3,3,3,3,3,0],[3,3,1,3,3,3,3,3,3,3,3,3,3,1,3,3,3,3,3,0],[3,3,3,3,3,1,3,3,3,3,3,3,3,3,3,3,3,3,3,6],[3,3,3,3,3,3,3,3,1,3,3,3,3,3,3,3,3,3,3,6],[3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,6],[3,3,3,3,3,3,3,3,3,3,3,1,3,3,3,3,3,3,1,5],[3,3,3... | 0 | dataset=solve_span group=template_lines output_without_border predict=rawpixels earlier_prediction=none image_width=medium image_height=large task_pixels=c | |
SIMONSOLVEV1, O4T, predict raw pixels | I0
5 11 b616,c16,c61,1,a6a16,a69a6,9b61,b616,69619,a6961,96161
O0
3 3 9,,
I1
17 7 a8a0c2b89d2,2c980a98a28b90,08b280a89a89a8a2,202920202a9298298,2a8080a892a90b82,b8a08c9209b28,9a8209b28a282890
O1
3 3 0,,
I2
19 19 d9097g9093,7e90b94e93,h90g93,a9797l97,c97a97f94979,9a0c94a97b97a974,a90a90e983b979,74e90b8349a479,j943b97a9,... | 777
777
777 | {"train":[{"input":[[6,6,6,1,6],[1,1,1,1,6],[6,6,6,6,1],[1,1,1,1,1],[6,6,1,1,6],[6,6,9,6,6],[9,6,6,6,1],[6,6,6,1,6],[6,9,6,1,9],[6,6,9,6,1],[9,6,1,6,1]],"output":[[9,9,9],[9,9,9],[9,9,9]]},{"input":[[8,8,0,0,2,2,2,2,8,8,8,9,2,2,2,2,2],[2,9,9,9,9,8,0,9,9,8,2,2,8,9,9,9,0],[0,8,2,2,2,8,0,8,8,9,8,8,9,8,8,2,2],[2,0,2,9,2,0,... | 0 | dataset=solve_color group=identify_most_or_least_popular_color least_popular NxM predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b | |
SIMONSOLVEVERSION1, 'O3T', predict the raw pixels | I0
12 10 6i46,64a141a41419,64a141a41a46,6c41a41a46,6a4b1414146,6141a41c49,6c41a4a149,64b141c46,61b4a141416,6a1d41a46
O0
12 10 6i46,4a141a414169,64a141a41a46,6c41a41a46,6a4b1414146,141a41c469,c41a4a1469,64b141c46,61b4a141416,6a1d41a46
I1
12 19 6i49,64c1414146,641a41414146,6c41414a16,64c141a416,6c41414149,64a141b4149,641... | 611116
611116
444469
644146
614146
411469
444469
411469
141469
641146
644446
641146
141469
441469
411469
614446 | {"train":[{"input":[[6,4,4,4,4,4,4,4,4,4,4,6],[6,4,1,1,4,1,4,4,1,4,1,9],[6,4,1,1,4,1,4,4,1,4,4,6],[6,4,4,4,4,1,4,4,1,4,4,6],[6,4,4,1,1,1,4,1,4,1,4,6],[6,1,4,1,4,4,1,4,4,4,4,9],[6,4,4,4,4,1,4,4,1,1,4,9],[6,4,1,1,1,4,1,4,4,4,4,6],[6,1,4,4,4,1,1,4,1,4,1,6],[6,1,1,4,4,4,4,4,1,4,4,6]],"output":[[6,4,4,4,4,4,4,4,4,4,4,6],[4,... | 0 | dataset=solve_deform group=deform_line rotate_2 displacement_-1 predict=rawpixels earlier_prediction=none image_width=large image_height=medium task_pixels=c | |
Simon-Solve-Version1, O4T, predict raw pixels | I0
21 18 4,,,j45a49e4,h485b49e4,g435c49e4,f4a5d49e4,e453e49e4,d453f49e4,c453g497d4,c453h49d4,c45i49d4,,b45j49d4,b45b4a5c3a49d4,b4c5e4a39d4,n49d4,4
O0
2 1 4
I1
22 22 929a2b9a292c92d9,a92a92a9a2a9a29a29a2a9,a9a20a29a29b2a9292929,2a9a20e9a2a92a92a9,d2092d9d2b92,c9a20929e2a92a92,92c90a929a272b929a2,d2a902a9a27e2a9,b9b2a90b... | 77 | {"train":[{"input":[[4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4,4,5,4,4,9,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,8,5,4,4,4,9,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,3,5,4,4,4,4,9,4,4,4,4,4,4],[4,4,4,4,4,4,4,5,5,4,4,4,4,4,9,4,4,4... | 0 | dataset=solve_color group=identify_most_or_least_popular_color most_popular NxM predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=c | |
simonsolvev1, O3T, predict pixels | I0
2 12 8,96,46,,45,,,95,85,95,,89
O0
2 4 6,,,
I1
18 15 35d35a3a5b3b5,34359c35a35d3,a3539359b535a35a3,35a395a354c54353,b39c3535e39,a5i3a5b34,3a4a3535f35a3,4b35a35a3a934a359,3535b3959b3b535,a53535b35915a3593,3453b5a3531a345a3,a9543535a3415c35,353c5a393b63a54,9d5a3a538a06354,435a3a95b353805a3
O1
2 4 8,,,
I2T
20 2 6c2b4b5... | 22
22
22
22 | {"train":[{"input":[[8,8],[9,6],[4,6],[4,6],[4,5],[4,5],[4,5],[9,5],[8,5],[9,5],[9,5],[8,9]],"output":[[6,6],[6,6],[6,6],[6,6]]},{"input":[[3,5,3,3,3,3,3,5,3,3,5,5,3,3,3,5,5,5],[3,4,3,5,9,3,3,3,3,5,3,3,5,3,3,3,3,3],[3,3,5,3,9,3,5,9,5,5,5,3,5,3,3,5,3,3],[3,5,3,3,9,5,3,3,5,4,5,5,5,5,4,3,5,3],[3,3,3,9,3,3,3,3,5,3,5,3,3,3,... | 1 | dataset=solve_color group=identify_most_or_least_popular_color least_popular NxM predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=a | |
SIMONSOLVEV1, 'O3T', predict the pixels | I0
14 18 l97,,,,,j9a39,,,i98b9,,f9b0c9,d9a8f9,,,,d0h9,,
O0
1 18 7,,,,,3,,,8,,0,8,,,,0,,
I1
20 12 p9b0,k9d3b9,g9c7g9,d9b2k9,,,b9a7n9,,b3p9,,,
O1
1 12 0,3,7,2,,,7,,3,,,
I2
9 18 f9a8,,c9b2a9,,,,,a9a3d9,,,,,a8f9,,,,,
O2
1 18 8,,2,,,,,3,,,,,8,,,,,
I3T
16 6 i9e8,,f9b7e9,,d9a3h9,d0j9
O3T
None
I4T
20 14 n9d8,,k9b2d9,h9b3g9,,,,... | 8
8
7
7
3
0 | {"train":[{"input":[[9,9,9,9,9,9,9,9,9,9,9,9,9,7],[9,9,9,9,9,9,9,9,9,9,9,9,9,7],[9,9,9,9,9,9,9,9,9,9,9,9,9,7],[9,9,9,9,9,9,9,9,9,9,9,9,9,7],[9,9,9,9,9,9,9,9,9,9,9,9,9,7],[9,9,9,9,9,9,9,9,9,9,9,3,3,9],[9,9,9,9,9,9,9,9,9,9,9,3,3,9],[9,9,9,9,9,9,9,9,9,9,9,3,3,9],[9,9,9,9,9,9,9,9,9,9,8,9,9,9],[9,9,9,9,9,9,9,9,9,9,8,9,9,9],... | 0 | dataset=solve_span group=intersecting_spans colored_primary_area_extract_horizontal predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c | |
SIMONSOLVEV1 predict raw pixels for 'O4T' | I0
9 8 3f48,3a5a4a548,8a4b5a48,345b4548,3454a5a48,345c458,8a4c548,3f48
O0
9 8 3f48,3a5a4a548,84b5a484,345b4548,3454a5a48,345c458,84c5484,3f48
I1
10 19 8g48,34c54548,3c454548,85454b548,3a45454548,35d4a58,8a4b5a458,845a4a5458,84b5c48,8b4c548,84545a4548,8b4545a48,34a54a5458,3b4b5a48,3545454548,3a45b4548,84545a4548,3b4c548... | 355444548
354554548
354554548
344444548
345554548
844544484
345545458
344544548
344545448
854455485
855544485 | {"train":[{"input":[[3,4,4,4,4,4,4,4,8],[3,5,5,4,4,5,5,4,8],[8,4,4,5,5,5,4,4,8],[3,4,5,4,4,4,5,4,8],[3,4,5,4,5,5,4,4,8],[3,4,5,4,4,4,4,5,8],[8,4,4,5,5,5,5,4,8],[3,4,4,4,4,4,4,4,8]],"output":[[3,4,4,4,4,4,4,4,8],[3,5,5,4,4,5,5,4,8],[8,4,5,5,5,4,4,8,4],[3,4,5,4,4,4,5,4,8],[3,4,5,4,5,5,4,4,8],[3,4,5,4,4,4,4,5,8],[8,4,5,5,... | 0 | dataset=solve_deform group=deform_line rotate_0 displacement_1 predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=d | |
Simon-Solve-Version1 predict raw pixels for 'O3T' | I0
14 21 l48,,,,,,,l40,,,,,,l48,,,,l40,l48,,a8a0e80b8
O0
14 21 a8j48,,,,,,,a4a0h40,,,,,,c4e8b48,,,,i40a40,j4b8,,a8a0e80b8
I1
9 10 g40,,g48,,g40,g48,g40,,g48,080a80b8
O1
9 10 0f40,,48e48,,a40d40,b4a8b48,d40a40,,e4b8,080a80b8
I2
20 15 r48,,r40,,,,r48,,,,,r40,,,f8e0b8c0
O2
20 15 f8k48,,f4e0e40,,,,l4b8b48,,,,,o4c0,,,f8e0b8... | 0004444444440
0004444444440
0004444444440
0004444444440
0004444444440
4448884444448
4448884444448
4448884444448
4448884444448
4448884444448
4444440000000
4444440000000
4444440000000
4444440000000
4444440000000
0008880000000 | {"train":[{"input":[[4,4,4,4,4,4,4,4,4,4,4,4,4,8],[4,4,4,4,4,4,4,4,4,4,4,4,4,8],[4,4,4,4,4,4,4,4,4,4,4,4,4,8],[4,4,4,4,4,4,4,4,4,4,4,4,4,8],[4,4,4,4,4,4,4,4,4,4,4,4,4,8],[4,4,4,4,4,4,4,4,4,4,4,4,4,8],[4,4,4,4,4,4,4,4,4,4,4,4,4,8],[4,4,4,4,4,4,4,4,4,4,4,4,4,0],[4,4,4,4,4,4,4,4,4,4,4,4,4,0],[4,4,4,4,4,4,4,4,4,4,4,4,4,0],... | 0 | dataset=solve_span group=intersecting_spans empty_primary_area predict=rawpixels earlier_prediction=none image_width=medium image_height=large task_pixels=c | |
simonsolvev1 predict raw pixels for O3T | I0
7 13 a181080,8c181,a1a3808,8308a18,0818318,b8a1a8,18b180,1380b1,a1380a1,18c18,81b8a3,a181a80,0a313a1
O0
4 4 1,,,
I1
21 10 412a4a20c21a42a1a42,1a412102a1a421414a241,1b42102d4212121a4,241a404b21a42121c4,41b4024121a41a421b4,242a914a2a0a7214a1b4,1a9e024a0a72141a4,b02b42d4b02a142,4a12a4a21c4a1a414a1,41a2c412424a12a4141
O... | 3333
3333
3333
3333 | {"train":[{"input":[[1,1,8,1,0,8,0],[8,1,1,1,1,8,1],[1,1,3,3,8,0,8],[8,3,0,8,1,1,8],[0,8,1,8,3,1,8],[8,8,8,1,1,8,8],[1,8,1,1,1,8,0],[1,3,8,0,1,1,1],[1,1,3,8,0,1,1],[1,8,1,1,1,1,8],[8,1,8,8,8,3,3],[1,1,8,1,8,8,0],[0,3,3,1,3,1,1]],"output":[[1,1,1,1],[1,1,1,1],[1,1,1,1],[1,1,1,1]]},{"input":[[4,1,2,4,4,2,2,0,2,2,2,2,1,4,... | 1 | dataset=solve_color group=identify_most_or_least_popular_color most_popular NxM predict=rawpixels earlier_prediction=none image_width=large image_height=medium task_pixels=b | |
SIMON-SOLVE-VERSION1 predict pixels for 'O2T' | I0
19 15 q52,,q53,,q52,,q53,,,,,,,,a2c3h2c3
O0
19 15 a2o52,,a5c3k53,,e5h2b52,,n5c3,,,,,,,,a2c3h2c3
I1
19 11 q52,q53,,q52,,,q53,,q52,,b2a3b2e3d2
O1
19 11 b2n52,b5a3l53,,d5b2i52,,,g5e3c53,,m5d2,,b2a3b2e3d2
I2T
12 21 j52,,,,j53,,,j52,,,,j53,,,,,j52,,,,b2a323d2
O2T
None
I3T
21 19 s53,,,s52,,,,s53,,,,,s52,,,,,,b3f2d3e2
O3T
... | 222555555552
222555555552
222555555552
222555555552
555335555553
555335555553
555335555553
555552555552
555552555552
555552555552
555552555552
555555355553
555555355553
555555355553
555555355553
555555355553
555555522222
555555522222
555555522222
555555522222
222332322222 | {"train":[{"input":[[5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,2],[5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,2],[5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,3],[5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,3],[5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,2],[5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,2],[5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,3],[5,5,5,5,5,5,5,5,5,5... | 0 | dataset=solve_span group=intersecting_spans empty_primary_area predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=d | |
simonsolveversion1, O4T, predict pixels | I0
4 12 2b5,,,,,,53a5,,a525,b53,,
O0
5 13 2b52,,,,,,53a53,,a5252,b5a3,,,232a3
I1
6 7 2d5,,53c5,,a52b5,b5a35,d52
O1
7 8 2d52,,53c53,,a52b52,b5a353,d5a2,232a3a2
I2
11 18 2i5,,,,53h5,,a5b2e5,,,,d5b3b5,,,g52a5,,,h5a3,
O2
12 19 2i52,,,,53h53,,a5b2e52,,,,d5b3b53,,,g52a52,,,h5b3,,23b2b32b3
I3T
18 10 a3o5,,a5b2l5,,d5e3f5,,j5c2... | 2255552
2255552
2255552
2255552
5533353
5533353
5533353
5533353
5533353
5555522
5555522
5555522
5555522
5555522
2233322 | {"train":[{"input":[[2,5,5,5],[2,5,5,5],[2,5,5,5],[2,5,5,5],[2,5,5,5],[2,5,5,5],[5,3,5,5],[5,3,5,5],[5,5,2,5],[5,5,5,3],[5,5,5,3],[5,5,5,3]],"output":[[2,5,5,5,2],[2,5,5,5,2],[2,5,5,5,2],[2,5,5,5,2],[2,5,5,5,2],[2,5,5,5,2],[5,3,5,5,3],[5,3,5,5,3],[5,5,2,5,2],[5,5,5,3,3],[5,5,5,3,3],[5,5,5,3,3],[2,3,2,3,3]]},{"input":[[... | 1 | dataset=solve_span group=intersecting_spans colored_primary_area_fill_template_border predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c | |
SIMONSOLVEV1 predict pixels for 'O3T' | I0
16 19 e8b0d3a8,n28,,,n23,,,,,,,n20,,,,n28,,,
O0
16 19 e8b0d3a8,m2a8,,,h2d323,,,,,,,e2b0e20,,,,e8h28,,,
I1
17 18 a3f0a8e0,o20,,,o28,,,,,,o20,,,,o23,,,
O1
17 18 a3f0a8e0,j2e0,,,h2a8d28,,,,,,a2f0f20,,,,a3m23,,,
I2
9 20 b8b0b8,g28,,,,,,,g20,,,,,,,g28,,,,
O2
9 20 b8b0b8,e2b8,,,,,,,b2b0a20,,,,,,,b8d28,,,,
I3T
19 6 b3b8d3c... | 3338883333300003333
2222222222222223333
2222222222200002220
2222223333322222223
2228882222222222228
3332222222222222223 | {"train":[{"input":[[8,8,8,8,8,8,0,0,0,3,3,3,3,3,8,8],[2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,8],[2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,8],[2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,8],[2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,3],[2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,3],[2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,3],[2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,3],[2,2,2,2,2,2,2,2,2,2,2,2,2,2... | 0 | dataset=solve_span group=intersecting_spans empty_primary_area predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c | |
simonsolvev1, O3T, predict pixels | I0
11 17 74a94d97,7a94a94b97,7c9b4947,59494a94a97,594a9494a97,79494a94947,5949494b97,74a949b497,5a4a94c97,5949a494a97,594a9494a97,594a94c97,794a9d47,7949d497,7c9b4a97,7a9a49b497,5a4f97
O0
11 17 74a94d97,7a94a94b97,7c9b4947,5494a94a979,54a9494a979,79494a94947,549494b979,74a949b497,54a94c974,549a494a979,54a9494a979,54a94... | 7999999949947
7944444994447
7999949449947
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5944994999474
7999949444497
7994999999947 | {"train":[{"input":[[7,4,9,9,4,9,9,9,9,9,7],[7,9,9,4,9,9,4,9,9,9,7],[7,9,9,9,9,4,4,4,9,4,7],[5,9,4,9,4,9,9,4,9,9,7],[5,9,4,9,9,4,9,4,9,9,7],[7,9,4,9,4,9,9,4,9,4,7],[5,9,4,9,4,9,4,9,9,9,7],[7,4,9,9,4,9,4,4,4,9,7],[5,4,4,9,9,4,9,9,9,9,7],[5,9,4,9,4,4,9,4,9,9,7],[5,9,4,9,9,4,9,4,9,9,7],[5,9,4,9,9,4,9,9,9,9,7],[7,9,4,9,9,4... | 0 | dataset=solve_deform group=deform_line rotate_0 displacement_1 predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c | |
simonsolvev1, 'O3T', predict the pixels | I0
18 15 6e85c8585851,18a585858585a85851,6c8585858a58b51,18c58a5f851,685e8f581,1858a585a8585c81,685b8a5c858b51,1a8a5a858a58b5a81,6a858585f8581,685a85858d58581,18a585a85858b5851,68a5858a585e81,68a58585a858d51,68a5a8585a85a85a81,1c85a85a85b8581
O0
18 15 6e85c8585851,a18a585858585a8585,6c8585858a58b51,a18c58a5f85,685e8f58... | 688885888558851
655858588888881
688858855555581
685588588858881
685885885888581
118585858585585
685858585885881
118585888858588
685888585585881
685558558885581
118888888858888 | {"train":[{"input":[[6,8,8,8,8,8,8,5,8,8,8,8,5,8,5,8,5,1],[1,8,5,5,8,5,8,5,8,5,8,5,8,8,5,8,5,1],[6,8,8,8,8,5,8,5,8,5,8,5,5,8,5,5,5,1],[1,8,5,5,5,5,8,5,5,8,8,8,8,8,8,8,5,1],[6,8,5,8,8,8,8,8,8,5,5,5,5,5,5,5,8,1],[1,8,5,8,5,5,8,5,8,8,5,8,5,8,8,8,8,1],[6,8,5,8,8,8,5,5,8,8,8,8,5,8,5,5,5,1],[1,8,8,5,5,8,8,5,8,5,5,8,5,5,5,8,8... | 0 | dataset=solve_deform group=deform_line rotate_0 displacement_-1 predict=rawpixels earlier_prediction=none image_width=large image_height=medium task_pixels=d | |
Simon-Solve-V1 'O3T' predict the raw pixels | I0
22 8 1a070a70l71,1f70707e07071,17f070e707071,4h7a07b07a0a71,17b0a7b070e70a71,1b707a070707c0a7071,170e7b070b707a01,47a0b70f7070a701
O0
22 8 1a070a70l71,1f70707e07071,17f070e707071,4g7a07b07a0a717,17b0a7b070e70a71,1b707a070707c0a7071,170e7b070b707a01,4a0b70f7070a7017
I1
16 8 10h7c01,47a0707a07070a71,1a70707a07a0b71,10... | 1777770771
1700070771
1000000771
1777770771
4007770717
1077000071
1707070771
1770070701
4777777717 | {"train":[{"input":[[1,0,0,7,0,7,7,0,7,7,7,7,7,7,7,7,7,7,7,7,7,1],[1,7,7,7,7,7,7,7,0,7,0,7,0,0,0,0,0,0,7,0,7,1],[1,7,0,0,0,0,0,0,0,7,0,7,7,7,7,7,7,0,7,0,7,1],[4,7,7,7,7,7,7,7,7,7,0,0,7,0,0,0,7,0,0,7,7,1],[1,7,0,0,0,7,7,0,0,0,7,0,7,7,7,7,7,7,0,7,7,1],[1,7,7,7,0,7,0,0,7,0,7,0,7,0,0,0,0,7,7,0,7,1],[1,7,0,7,7,7,7,7,7,0,0,0... | 0 | dataset=solve_deform group=deform_line rotate_0 displacement_1 predict=rawpixels earlier_prediction=none image_width=large image_height=small task_pixels=b | |
SIMONSOLVEV1 'O2T' predict the raw pixels | I0
12 19 1b81c8181,8181c8c1,81c8b1b8,a818a1b8181,b81d8b1,a81a8a1d8,d81b8b1,1h8a1,18a18a18c1,b1a8e18,c8d18a1,18b1a8a1a81,1a8b1818181,b1818e1,18a1818a1a81,8b1a8a1b81,c8a1a81a81,181a81b8b1,a8d18c1
O0
12 19 1b61c6161,6161c6c1,61c6b1b6,a616a1b6161,b61d6b1,a61a6a1d6,d61b6b1,1h6a1,16a16a16c1,b1a6e16,c6d16a1,16b1a6a1a61,1a6b16... | 661616
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111616
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116166
111616
161666 | {"train":[{"input":[[1,8,8,8,1,8,8,8,8,1,8,1],[8,1,8,1,8,8,8,8,1,1,1,1],[8,1,8,8,8,8,1,1,1,8,8,8],[8,8,1,8,1,1,8,8,8,1,8,1],[8,8,8,1,8,8,8,8,8,1,1,1],[8,8,1,8,8,1,1,8,8,8,8,8],[8,8,8,8,8,1,8,8,8,1,1,1],[1,8,8,8,8,8,8,8,8,8,1,1],[1,8,1,1,8,1,1,8,1,1,1,1],[1,1,1,8,8,1,1,1,1,1,1,8],[8,8,8,8,1,1,1,1,1,8,1,1],[1,8,1,1,1,8,8... | 0 | dataset=solve_color group=replace_color_same_palette no_padding predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b | |
SIMON-SOLVE-VERSION1, O3T, predict pixels | I0
8 14 a54a54a5,20a202a0,2c02a0,a20202a0,b020a20,0a2d0,0e20,0b2a020,b20b20,b0a2020,0a20b20,c02b0,a02c02,4
O0
8 14 a54a54a5,204204a0,202a02a0,a20202a0,b020a20,02b02a0,0c2020,0b20a20,b202020,a0d20,02a02020,a020a2a0,f02,a42a40a4
I1
11 10 c5a4a54a5,a0202b02a0,02b02a02a0,a20a20a2020,0202f0,0202a0d2,02a0a2d0,b02020c2,b0a20a... | 45555554445555545554
40000024440000042024
22222000000202200202
00020202000002020202
02000000222222022220
20020222000000220220
02002020002220222022
20020002020020002020
02000220202022202020
00222000202000020020
00200200200022202020
20202222002200020220
00000002220000200000
04444440004444424442 | {"train":[{"input":[[5,5,4,5,5,4,5,5],[2,0,2,2,0,2,0,0],[2,0,0,0,0,2,0,0],[2,2,0,2,0,2,0,0],[0,0,0,2,0,2,2,0],[0,2,2,0,0,0,0,0],[0,2,2,2,2,2,2,0],[0,2,2,2,0,0,2,0],[2,2,2,0,2,2,2,0],[0,0,0,2,2,0,2,0],[0,2,2,0,2,2,2,0],[0,0,0,0,2,0,0,0],[0,0,2,0,0,0,0,2],[4,4,4,4,4,4,4,4]],"output":[[5,5,4,5,5,4,5,5],[2,0,4,2,0,4,0,0],[... | 0 | dataset=solve_deform group=deform_line rotate_3 displacement_-1 predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c | |
SIMON-SOLVE-VERSION1 predict raw pixels for O2T | I0
8 6 f29,2,f29,2,f29,9a2b9a2
O0
8 6 8a5b858,5,8a5b858,5,8a5b858,8a5b8a5
I1
8 14 9f2,,2,9f2,,,,2,,,,9f2,,a2a929a2
O1
8 14 85a858a5,,5,85a858a5,,,,5,,,,85a858a5,,a5a858a5
I2T
21 13 9s2,,2,9s2,,,,,2,9s2,,,g29e2b9b2
O2T
None
I3T
7 8 a2a92a9,9e2,2,,9e2,2,9e2,
O3T
None | 855555558555555888555
855555558555555888555
555555555555555555555
855555558555555888555
855555558555555888555
855555558555555888555
855555558555555888555
855555558555555888555
555555555555555555555
855555558555555888555
855555558555555888555
855555558555555888555
555555558555555888555 | {"train":[{"input":[[2,2,2,2,2,2,2,9],[2,2,2,2,2,2,2,2],[2,2,2,2,2,2,2,9],[2,2,2,2,2,2,2,2],[2,2,2,2,2,2,2,9],[9,2,2,9,9,9,2,2]],"output":[[8,5,5,8,8,8,5,8],[5,5,5,5,5,5,5,5],[8,5,5,8,8,8,5,8],[5,5,5,5,5,5,5,5],[8,5,5,8,8,8,5,8],[8,5,5,8,8,8,5,5]]},{"input":[[9,2,2,2,2,2,2,2],[9,2,2,2,2,2,2,2],[2,2,2,2,2,2,2,2],[9,2,2,... | 0 | dataset=solve_span group=alternating_intersection and outputborder=True predict=rawpixels earlier_prediction=none image_width=large image_height=medium task_pixels=b | |
simonsolveversion1 predict pixels for O3T | I0
18 11 b5d2b5b2b52,2,p25,2,,p25,,2,,,
O0
18 11 b3d4b3b4b34,p74,b6d7b6b7b63,p74,,b6d7b6b7b63,,p74,,,
I1
6 21 5d2,,,2,,,,5d2,,,2,,,,,5d2,,,,,a25252
O1
6 21 376767,,,4d7,,,,376767,,,4d7,,,,,376767,,,,,a43434
I2
21 20 d2e5d2d5,5s2,,,,2,5s2,,,,,,2,,,5s2,,,,
O2
21 20 d4e3d4d3,3c7e6d7d6,,,,4s7,3c7e6d7d6,,,,,,4s7,,,3c7e6d7d6... | 367676
477777
477777
477777
477777
367676
367676
367676
477777
477777
367676
367676
367676
434343 | {"train":[{"input":[[5,5,5,2,2,2,2,2,5,5,5,2,2,2,5,5,5,2],[2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2],[2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,5],[2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2],[2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2],[2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,5],[2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,5],[2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2... | 0 | dataset=solve_span group=alternating_intersection and outputborder=True predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=c | |
Simon-Solve-Version1 predict raw pixels for O5T | I0
14 23 404a0b4040b4,g16c16,1616c1d61,16b1a6f1,1616161c6161,16161616b16a1,161616a1a6a161,161a616b1b61,1616a1616d1,1616a1b61b61,6c1a61616b1,d61616a16a1,f1616a161,a1e6161a61,1616f1a61,16161a61a6a161,a1a6a16c1a61,16d1b616a1,b1b6e161,1a61a61a616161,e16161b61,a1616g16,4
O0
14 23 404a0b4040b4,1616c1616a16,16f161a61,16161a61... | 00404040404444404044
16161161111111116611
11111611661611116161
16116166116111661161
66161661161166116111
16116116166161666666
11161611116161161611
16616116166161661161
16161161661161161661
66161666111616611111
16111611166111116161
16116616111161616161
11611666116166616161
44141464141111141411
61414141414444464144 | {"train":[{"input":[[4,0,4,0,0,4,4,4,0,4,0,4,4,4],[1,1,1,1,1,1,1,1,6,1,1,1,1,6],[1,6,1,6,1,1,1,1,6,6,6,6,6,1],[1,6,1,1,1,6,6,1,1,1,1,1,1,1],[1,6,1,6,1,6,1,6,6,6,6,1,6,1],[1,6,1,6,1,6,1,6,1,1,1,6,1,1],[1,6,1,6,1,6,1,1,6,6,1,1,6,1],[1,6,1,6,6,1,6,1,1,1,6,6,6,1],[1,6,1,6,1,1,6,1,6,1,1,1,1,1],[1,6,1,6,1,1,6,6,6,1,6,6,6,1],... | 1 | dataset=solve_deform group=deform_line rotate_3 displacement_1 predict=rawpixels earlier_prediction=none image_width=medium image_height=large task_pixels=d | |
Simon-Solve-V1 predict pixels for 'O3T' | I0
15 23 7,e1a0f1,0a10c1f0,1a01a01a010c1,b10b10a1d0,10b1a01a010b1,a1b0a1010a1010,10101010c10a1,1a0a10101a0a101,0a101010b10b1,a01b010101c0,f1010d1,a1c010a1c01,010a10c101a01,a10a101c0c1,a1c010b1b01,10c101a0b101,0a1a0a10101b01,c0101010b101,0e10a1a0101,1a0a10a10e1,a1c01a0a10a10,7a9c7979a7a97
O0
15 23 710c7071a7a17,1a7b1071... | 1177717777
7701171101
1100101011
1111011011
0101001010
1011101111
1101000001
1011010101
1000111101
0111110001
1110100111
1010111001
1010101111
1011000010
1010101011
1011111011
1010001011
1001001010
1011011011
1101101111
9977797777 | {"train":[{"input":[[7,7,7,7,7,7,7,7,7,7,7,7,7,7,7],[1,1,1,1,1,1,0,0,1,1,1,1,1,1,1],[0,1,1,0,1,1,1,1,0,0,0,0,0,0,0],[1,0,0,1,0,0,1,0,0,1,0,1,1,1,1],[1,1,1,0,1,1,1,0,1,1,0,0,0,0,0],[1,0,1,1,1,0,0,1,0,0,1,0,1,1,1],[1,1,0,0,0,1,1,0,1,0,1,1,0,1,0],[1,0,1,0,1,0,1,0,1,1,1,1,0,1,1],[1,0,0,1,1,0,1,0,1,0,0,1,1,0,1],[0,1,1,0,1,0... | 0 | dataset=solve_deform group=deform_line rotate_1 displacement_1 predict=rawpixels earlier_prediction=none image_width=medium image_height=large task_pixels=d | |
Simon-Solve-V1 predict raw pixels for 'O4T' | I0
14 8 4,a28a28f28,a2828a28a28282,a28a28a2b8282,2828a2a8282828,b82b8a28a2a8,d8f2a8,b464646a46a46
O0
14 8 b424842a42a48,a28c28a28b2,a282a8c28282,a2a8b2b8a2a8,28b2a8a282828,d828a28a2a8,b848424a24284,b464646a46a46
I1
9 16 4,2,2a82d8,a28e2,282a82a82,d28a28,a2a828b2,b8a2a828,2828a2a82,c2a8b2,a2e82,2a828c2,a282c82,2828d2,28... | 48444244442
82222222282
22282882228
22828288828
82888828228
88222282228
82282222888
88288282282
88228828822
88882822222
88822888882
28282822228
22222828888
22828228282
82822822222
22828288282
24288422224
46444644446 | {"train":[{"input":[[4,4,4,4,4,4,4,4,4,4,4,4,4,4],[2,2,8,2,2,8,2,2,2,2,2,2,2,8],[2,2,8,2,8,2,2,8,2,2,8,2,8,2],[2,2,8,2,2,8,2,2,8,8,8,2,8,2],[2,8,2,8,2,2,8,8,2,8,2,8,2,8],[8,8,8,2,8,8,8,2,2,8,2,2,8,8],[8,8,8,8,8,2,2,2,2,2,2,2,8,8],[4,4,4,6,4,6,4,6,4,4,6,4,4,6]],"output":[[4,4,4,2,4,8,4,2,4,4,2,4,4,8],[2,2,8,2,2,2,2,8,2,... | 0 | dataset=solve_deform group=deform_line rotate_1 displacement_-1 predict=rawpixels earlier_prediction=none image_width=medium image_height=large task_pixels=d | |
SIMONSOLVEV1, O3T, predict raw pixels | I0
12 16 4,d90a90a90,9b0a9090909,90b90a90909,a9a09b09a09,90a90a90a909,0b909a09a09,a9a0g9,0c9c0909,9a09a0b90a9,c90a909090,9a0909a090a9,090a90c9a0,a90909d09,90i9,a2a424a24b2
O0
12 16 a4a940a40b4,a9a0c90a90,90b9a090909,9b090c909,e9a09a09,90a90a90a909,09b09a09a09,d90a90b9,090a9b0a909,90a90c90a9,a9090a909090,9a09c090a9,090d... | 999444409494040044
990999000909009900
900009099909000000
900990999009999990
999009090999090099
990909009090990009
444999044949404490
444222244242424422 | {"train":[{"input":[[4,4,4,4,4,4,4,4,4,4,4,4],[9,9,9,9,9,0,9,9,0,9,9,0],[9,0,0,0,9,9,0,9,0,9,0,9],[9,0,9,9,9,0,9,9,0,9,0,9],[9,9,0,0,9,0,0,0,9,0,0,9],[9,0,9,9,0,9,9,0,9,9,0,9],[0,9,9,9,0,9,0,0,9,0,0,9],[9,9,0,0,9,9,9,9,9,9,9,9],[0,9,9,9,9,0,0,0,0,9,0,9],[9,0,0,9,0,0,9,9,9,0,9,9],[9,9,9,9,0,9,9,0,9,0,9,0],[9,0,0,9,0,9,0... | 0 | dataset=solve_deform group=deform_line rotate_1 displacement_-1 predict=rawpixels earlier_prediction=none image_width=large image_height=medium task_pixels=c | |
simon-solve-v1 'O2T' predict the raw pixels | I0
8 10 a0a2a5a4,e784,,,,c7a875,a7a8b72,,a8d70,
O0
7 9 e74,,,,c7a57,a7a2b7,,a0d7,
I1
15 9 b5b6b0b4b0,k7a80,,h7b8a74,e7b8d70,b7b8g76,b8j75,,
O1
14 8 k7a0,,h7b4a7,e7b0d7,b7b6g7,b5j7,,
I2T
20 10 b0c9d2a9a2c9,o7b89,,m7a8b72,,k7a8d79,f7d8f72,,b7c8k79,b8o70
O2T
None
I3T
11 12 c56e2,d7d82,,c78d76,,,,,,c8e75,,
O3T
None | 7777777777777777999
7777777777777777999
7777777777777722777
7777777777777722777
7777777777779977777
7777777222227777777
7777777222227777777
7779999777777777777
0007777777777777777 | {"train":[{"input":[[0,0,2,2,5,5,4,4],[7,7,7,7,7,7,8,4],[7,7,7,7,7,7,8,4],[7,7,7,7,7,7,8,4],[7,7,7,7,7,7,8,4],[7,7,7,7,8,8,7,5],[7,7,8,8,7,7,7,2],[7,7,8,8,7,7,7,2],[8,8,7,7,7,7,7,0],[8,8,7,7,7,7,7,0]],"output":[[7,7,7,7,7,7,4],[7,7,7,7,7,7,4],[7,7,7,7,7,7,4],[7,7,7,7,7,7,4],[7,7,7,7,5,5,7],[7,7,2,2,7,7,7],[7,7,2,2,7,7,... | 0 | dataset=solve_span group=intersecting_spans template_primary_area_without_border predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c | |
SIMON-SOLVE-VERSION1 predict raw pixels for O4T | I0
12 11 4,,,,,4c8f4,4b08f4,48b0f4,40808f4,4,
O0
4 4 8,b08,8b0,0808
I1
15 13 4,,,b4g0c4,b4e0a7c4,b4a07a07a0c4,b4a07c07c4,b47b07a07c4,b4g0c4,4,,,
O1
8 6 0,e0a7,a07a07a0,a07c07,7b07a07,0
I2
8 10 4,c4a064,c4b04,c4a604,c4a064,c4b04,c40a64,c4b04,c46a04,4
O2
3 8 a06,0,a60,a06,0,0a6,0,6a0
I3
11 16 4,e401b0,e4b101,e4d0,e4a1b0,... | 2202
2000
0220
2000
2202 | {"train":[{"input":[[4,4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4,4,4],[4,8,8,8,8,4,4,4,4,4,4,4],[4,0,0,0,8,4,4,4,4,4,4,4],[4,8,0,0,0,4,4,4,4,4,4,4],[4,0,8,0,8,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4,4,4]],"output":[[8,... | 0 | dataset=solve_color group=replace_color_different_palettes crop palette_donothing predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b | |
SIMONSOLVEV1 'O4T' predict the raw pixels | I0
14 21 l48,,,,,,,l40,,,,,,l48,,,,l40,l48,,a8a0e80b8
O0
14 21 a8j48,,,,,,,a4a0h40,,,,,,c4e8b48,,,,i40a40,j4b8,,a8a0e80b8
I1
9 10 g40,,g48,,g40,g48,g40,,g48,080a80b8
O1
9 10 0f40,,48e48,,a40d40,b4a8b48,d40a40,,e4b8,080a80b8
I2
20 15 r48,,r40,,,,r48,,,,,r40,,,f8e0b8c0
O2
20 15 f8k48,,f4e0e40,,,,l4b8b48,,,,,o4c0,,,f8e0b8... | 04440
04440
48848
48848
48848
48848
44400
44400
44400
44400
44400
44400
08800 | {"train":[{"input":[[4,4,4,4,4,4,4,4,4,4,4,4,4,8],[4,4,4,4,4,4,4,4,4,4,4,4,4,8],[4,4,4,4,4,4,4,4,4,4,4,4,4,8],[4,4,4,4,4,4,4,4,4,4,4,4,4,8],[4,4,4,4,4,4,4,4,4,4,4,4,4,8],[4,4,4,4,4,4,4,4,4,4,4,4,4,8],[4,4,4,4,4,4,4,4,4,4,4,4,4,8],[4,4,4,4,4,4,4,4,4,4,4,4,4,0],[4,4,4,4,4,4,4,4,4,4,4,4,4,0],[4,4,4,4,4,4,4,4,4,4,4,4,4,0],... | 1 | dataset=solve_span group=intersecting_spans empty_primary_area predict=rawpixels earlier_prediction=none image_width=medium image_height=large task_pixels=c | |
simonsolveversion1, O3T, predict pixels | I0
15 10 7,,,,f72e52,f7b52b52,f72b5a2a5,7,,
O0
8 3 1e51,b51b51,1b5a1a5
I1
17 15 7,b752525252e7,b75e25e7,b7a5252a52e7,b725a2a5a2e7,b7a25a2b5e7,b7d52a5e7,b7a5a2a5a2e7,b7525a25a2e7,7,,,,,
O1
8 8 51515151,5e15,a5151a51,15a1a5a1,a15a1b5,d51a5,a5a1a5a1,515a15a1
I2
8 13 7,,d75a2,d7252,d7525,d7252,d7b5,d7a52,d7b5,7,,,
O2
3 7 5... | 115
515
511
115
555 | {"train":[{"input":[[7,7,7,7,7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,2,5,5,5,5,5,5,2],[7,7,7,7,7,7,7,5,5,5,2,5,5,5,2],[7,7,7,7,7,7,7,2,5,5,5,2,2,5,5],[7,7,7,7,7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7... | 0 | dataset=solve_color group=replace_color_same_palette crop predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b | |
SIMON-SOLVE-VERSION1, 'O3T', predict the raw pixels | I0
18 10 5,,4p5,,5,,4p5,,5,d5f4b5b4
O0
18 10 7,,6c7f3b7b3,,7,,6c7f3b7b3,,7,d7f6b7b6
I1
10 15 5,,,,4h5,5,,,,4h5,,,5,,5a45b45a4
O1
10 15 7,,,,6a37b37a3,7,,,,6a37b37a3,,,7,,7a67b67a6
I2
18 9 p54,,,5,,p54,,5,g5a4d5a45
O2
18 9 g7a3d7a36,,,7,,g7a3d7a36,,7,g7a6d7a67
I3T
9 17 4a5a45a45,g54,,,5,,,g54,,,,,,5,,,
O3T
None
I4T
20 1... | 677667667
377337336
377337336
377337336
777777777
777777777
777777777
377337336
377337336
377337336
377337336
377337336
377337336
777777777
777777777
777777777
777777777 | {"train":[{"input":[[5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5],[5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5],[4,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5],[4,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5],[5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5],[5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5],[4,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5],[4,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5... | 0 | dataset=solve_span group=alternating_intersection and outputborder=True predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=d | |
simonsolvev1, 'O3T', predict the raw pixels | I0
20 15 b68c68j6,c68n6,l68e6,e68l6,i6a86a8d6,k68b68686,e68l6,r68,a68d6a8i6,b68c68f68b6,b68o6,68a68b68j6,a8l68c6,j68d68a6,a68p6
O0
2 1 68
I1
12 7 g7c9,78h98,97b958b989,898a585a9895,a9858a9589a8,989a898d9,a8a9b8a9898
O1
2 1 95
I2
20 12 c2j56c5,54a5e2f5a65,a5a4e525c2c5,a5654b56a5h0,c6e059d56a5,c5b6d59f5,g54c59d56,h54i5,6... | 76 | {"train":[{"input":[[6,6,6,8,6,6,6,6,8,6,6,6,6,6,6,6,6,6,6,6],[6,6,6,6,8,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6],[6,6,6,6,6,6,6,6,6,6,6,6,6,8,6,6,6,6,6,6],[6,6,6,6,6,6,8,6,6,6,6,6,6,6,6,6,6,6,6,6],[6,6,6,6,6,6,6,6,6,6,8,8,6,8,8,6,6,6,6,6],[6,6,6,6,6,6,6,6,6,6,6,6,8,6,6,6,8,6,8,6],[6,6,6,6,6,6,8,6,6,6,6,6,6,6,6,6,6,6,6,6],[6,6,6... | 0 | dataset=solve_color group=identify_most_and_least_popular_colors rotate_0 predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b | |
simonsolveversion1, O3T, predict pixels | I0
4 16 7b4,1474,47a4,a4a7,4710,10a4,07a0,7404,a704,,0407,a707,0707,1a74,a717,a470
O0
4 16 7,,,,,,,,,,,,,,,
I1
6 20 6,d62,,c626,,,,b6256,b7256,b62a6,,a62b6,,,,62c6,,6,,
O1
6 20 6,,,,,,,,,,,,,,,,,,,
I2T
7 7 c31a3,,b3a1a3,b35183,a3a8513,a8a6a13,d3a1
O2T
None
I3T
8 5 a07d0,b402030,207a41a0,b023030,0202a030
O3T
None | 00000000
00000000
00000000
00000000
00000000 | {"train":[{"input":[[7,4,4,4],[1,4,7,4],[4,7,4,4],[4,4,7,7],[4,7,1,0],[1,0,4,4],[0,7,0,0],[7,4,0,4],[7,7,0,4],[7,7,0,4],[0,4,0,7],[7,7,0,7],[0,7,0,7],[1,7,7,4],[7,7,1,7],[4,4,7,0]],"output":[[7,7,7,7],[7,7,7,7],[7,7,7,7],[7,7,7,7],[7,7,7,7],[7,7,7,7],[7,7,7,7],[7,7,7,7],[7,7,7,7],[7,7,7,7],[7,7,7,7],[7,7,7,7],[7,7,7,7]... | 1 | dataset=solve_color group=identify_most_or_least_popular_color most_popular same predict=rawpixels earlier_prediction=none image_width=small image_height=medium task_pixels=b | |
SIMON-SOLVE-V1, 'O2T', predict the raw pixels | I0
13 11 5,,,e5d6a5,e564646a5,e5b646a5,e56a4a6a5,e5d6a5,e5a64a6a5,e5c64a5,5
O0
5 7 4,46464,b464,4a6a4,4,a46a4,c46
I1
8 13 5,,b53a6a5,b5636a5,b5b6a5,b5636a5,b5b6a5,5,,,,,
O1
3 5 6a3,363,3,363,3
I2T
10 10 5,,,,,,5161a6c5,5b1a6c5,561616c5,5
O2T
None
I3T
14 14 5,,,,,,a560e6c5,a50a6060a6c5,a50b6b06c5,a50a6060a6c5,a56a0a6b0c... | 61611
66611
16161 | {"train":[{"input":[[5,5,5,5,5,5,5,5,5,5,5,5,5],[5,5,5,5,5,5,5,5,5,5,5,5,5],[5,5,5,5,5,5,5,5,5,5,5,5,5],[5,5,5,5,5,5,6,6,6,6,6,5,5],[5,5,5,5,5,5,6,4,6,4,6,5,5],[5,5,5,5,5,5,6,6,6,4,6,5,5],[5,5,5,5,5,5,6,4,4,6,6,5,5],[5,5,5,5,5,5,6,6,6,6,6,5,5],[5,5,5,5,5,5,6,6,4,6,6,5,5],[5,5,5,5,5,5,6,6,6,6,4,5,5],[5,5,5,5,5,5,5,5,5,5... | 0 | dataset=solve_color group=replace_color_different_palettes crop palette_h predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b | |
simonsolvev1 predict raw pixels for 'O2T' | I0
19 14 h6a26b262a6,e62d62a62626,b6b26262b6b26a2,c6c2b62f6,a6a26262a6b2b6262,6c2j62a6,6262c6a26a2626a26,2b62d62d62a6,a62a6a2a62d62b6,26a262c62g6,62c62a62a62c626,a62g62c62a6,2d62a62c62b62,b14d1e4c1
O0
19 13 h2a42b421a2,e21d24a21212,b24a12124b2a412a1,c2c1b24f2,a2142121a2b4b2121,2a141j21a2,2124c2142a4242a12,1b21d24d21a2,... | 14212242
12212141
14411121
24411141
14412141
12421242
14422141
24412241
12212241
14421242
14411141
24411121
24421241
14421222
14411141
24212141
14422141 | {"train":[{"input":[[6,6,6,6,6,6,6,6,6,2,2,6,2,2,2,6,2,6,6],[6,6,6,6,6,6,2,6,6,6,6,6,2,6,6,2,6,2,6],[6,6,6,2,2,2,6,2,6,2,6,6,6,2,2,2,6,2,2],[6,6,6,6,2,2,2,2,6,6,6,2,6,6,6,6,6,6,6],[6,6,2,2,6,2,6,2,6,6,2,2,2,6,6,6,2,6,2],[6,2,2,2,2,6,6,6,6,6,6,6,6,6,6,6,2,6,6],[6,2,6,2,6,6,6,6,2,2,6,2,2,6,2,6,2,2,6],[2,6,6,6,2,6,6,6,6,6... | 0 | dataset=solve_span group=template_lines output_without_border predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c | |
simonsolvev1, O2T, predict pixels | I0
4 13 4,,9a45,,7905,4904,40a4,,4294,a424,,a472,b42
O0
4 13 4,,,,,,,,,,,,
I1
20 22 8,,,c852m8,c858c2f86a8,c8585b8b2c86a8,d85j86a8,,d85i826a8,d85i82868,c85j82868,,,d8a5h82868,f8a5f82868,h85e82868,i8a5b82a868,k8a582b86,m852b86,n8a5a86,p8a56,r85
O1
20 22 8,,,,,,,,,,,,,,,,,,,,,
I2T
7 12 5,a5757a5,8c505,8a54075,5840a15,58a... | 5555555
5555555
5555555
5555555
5555555
5555555
5555555
5555555
5555555
5555555
5555555
5555555 | {"train":[{"input":[[4,4,4,4],[4,4,4,4],[9,4,4,5],[9,4,4,5],[7,9,0,5],[4,9,0,4],[4,0,4,4],[4,0,4,4],[4,2,9,4],[4,4,2,4],[4,4,2,4],[4,4,7,2],[4,4,4,2]],"output":[[4,4,4,4],[4,4,4,4],[4,4,4,4],[4,4,4,4],[4,4,4,4],[4,4,4,4],[4,4,4,4],[4,4,4,4],[4,4,4,4],[4,4,4,4],[4,4,4,4],[4,4,4,4],[4,4,4,4]]},{"input":[[8,8,8,8,8,8,8,8,... | 0 | dataset=solve_color group=identify_most_or_least_popular_color most_popular same predict=rawpixels earlier_prediction=none image_width=medium image_height=large task_pixels=c | |
SIMON-SOLVE-VERSION1, 'O3T', predict the pixels | I0
13 8 8,d2a4c242,2b4c2a4b2,d2f42,d424e2,c2e4242,b24b24b242,8686a8c68a6
O0
13 8 282824c82a8,a24b24c242,242424a2b4a2,424242c4242,242c4e2,e2c4242,8284a824a2842,8686a8c68a6
I1
18 15 8,f2424f24,2e4c242424a2,b4c242b42424a2,b242a4a24b242b4,24b24a2a4a2a4c2,a2b42a42424a242a4,24b24d2a4a2b4,a4a24242424c2424,242a4a2a4c2a4a24,e2b... | 888828882
422242224
224444442
244242222
222442442
444222422
222442424
242424242
422282228
666686668 | {"train":[{"input":[[8,8,8,8,8,8,8,8,8,8,8,8,8],[2,2,2,2,2,4,4,2,2,2,2,4,2],[2,4,4,4,2,2,2,2,4,4,2,2,2],[2,2,2,2,2,4,4,4,4,4,4,4,2],[4,4,4,4,4,2,4,2,2,2,2,2,2],[2,2,2,2,4,4,4,4,4,4,2,4,2],[2,2,2,4,2,2,2,4,2,2,2,4,2],[8,6,8,6,8,8,6,6,6,6,8,6,6]],"output":[[2,8,2,8,2,4,8,8,8,8,2,8,8],[2,2,4,2,2,2,4,2,2,2,2,4,2],[2,4,2,4,... | 0 | dataset=solve_deform group=deform_line rotate_1 displacement_-1 predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c | |
simon-solve-v1, 'O3T', predict the pixels | I0
12 21 21c2c1a2,2,,,1j2,,,,,2,,,,,,1j2,,,,,
O0
11 20 8c7c8a7,,,7c8c7a8,,,,,8c7c8a7,,,,,,7c8c7a8,,,,,
I1
18 16 2,,,,p21,,,,2,,,p21,,,,e1b2f1a2
O1
17 15 e8b7f87,,,,e7b8f78,,,,e8b7f87,,,e7b8f78,,,
I2
11 12 c212a1b2,2,1i2,,2,,,1i2,2,,,
O2
10 11 b787a8b7,b878a7b8,,b787a8b7,,,b878a7b8,b787a8b7,,,
I3T
17 7 o21,,2,o21,2,,b1c... | 7778888777887777
7778888777887777
8887777888778888
7778888777887777
8887777888778888
8887777888778888 | {"train":[{"input":[[2,1,2,2,2,2,1,1,1,1,2,2],[2,2,2,2,2,2,2,2,2,2,2,2],[2,2,2,2,2,2,2,2,2,2,2,2],[2,2,2,2,2,2,2,2,2,2,2,2],[1,2,2,2,2,2,2,2,2,2,2,2],[1,2,2,2,2,2,2,2,2,2,2,2],[1,2,2,2,2,2,2,2,2,2,2,2],[1,2,2,2,2,2,2,2,2,2,2,2],[1,2,2,2,2,2,2,2,2,2,2,2],[2,2,2,2,2,2,2,2,2,2,2,2],[2,2,2,2,2,2,2,2,2,2,2,2],[2,2,2,2,2,2,2... | 0 | dataset=solve_span group=alternating_intersection xor outputborder=False predict=rawpixels earlier_prediction=none image_width=medium image_height=large task_pixels=c | |
SIMONSOLVEV1, 'O4T', predict the raw pixels | I0
11 22 65d85a82,6c8a5b82,68b5a8a582,6d85b86,68c58a582,685a8585a86,6858a58a582,6a85a8a5a82,65858c582,6a85e82,6a8e582,685f82,685858b582,68a5a85b82,6a8a5b8582,685a8a58586,6d858586,68c5a8586,6e85a82,685b8b582,6a8b58a582,6b5e86
O0
11 22 65d85a82,6c8a5b82,68b5a8a582,d85b8a6,68c58a582,85a8585a8a6,6858a58a582,6a85a8a5a82,658... | 6858885888888558888552
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6885888888885888888882 | {"train":[{"input":[[6,5,8,8,8,8,8,5,8,8,2],[6,8,8,8,8,5,5,8,8,8,2],[6,8,5,5,5,8,8,5,5,8,2],[6,8,8,8,8,8,5,8,8,8,6],[6,8,5,5,5,5,8,5,5,8,2],[6,8,5,8,8,5,8,5,8,8,6],[6,8,5,8,5,5,8,5,5,8,2],[6,8,8,5,8,8,5,5,8,8,2],[6,5,8,5,8,5,5,5,5,8,2],[6,8,8,5,8,8,8,8,8,8,2],[6,8,8,5,5,5,5,5,5,8,2],[6,8,5,8,8,8,8,8,8,8,2],[6,8,5,8,5,8... | 0 | dataset=solve_deform group=deform_line rotate_2 displacement_-1 predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=d | |
SIMONSOLVEVERSION1, 'O2T', predict the raw pixels | I0
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O0
3 8 212,2,1a2,2,212,2,1a2,2
I1
14 17 0,,,a06a262a62c0,a0b26a262c0,a026c262c0,a0c2a6a2c0,a0626262a6c0,a0a6a2a6a2c0,a0a626c2c0,0,,,,,,
O1
8 7 6a262a62,b26a262,26c262,c2a6a2,626262a6,a6a2a6a2,a626c2
I2T
10 11 0,,,,,d0a2b8,d0b282,d0b2a8,0,,
O2T
N... | 22888
22282
22288 | {"train":[{"input":[[0,0,0,0,0,0,0],[0,0,0,0,0,0,0],[0,0,0,0,0,0,0],[0,0,0,0,0,0,0],[0,0,0,0,0,0,0],[0,0,0,0,0,0,0],[0,2,1,2,0,0,0],[0,2,2,2,0,0,0],[0,1,2,2,0,0,0],[0,2,2,2,0,0,0],[0,2,1,2,0,0,0],[0,2,2,2,0,0,0],[0,1,2,2,0,0,0],[0,2,2,2,0,0,0],[0,0,0,0,0,0,0],[0,0,0,0,0,0,0],[0,0,0,0,0,0,0],[0,0,0,0,0,0,0],[0,0,0,0,0,0... | 0 | dataset=solve_color group=replace_color_different_palettes crop palette_donothing predict=rawpixels earlier_prediction=none image_width=medium image_height=large task_pixels=b | |
simonsolvev1, 'O3T', predict the raw pixels | I0
10 20 0f751,07a5757570,0a7575b71,07a5a7b50,0d75a71,07b5a7571,0c7b571,0575a75a71,05a75c71,075757a570,075b75a71,0757575a71,075757a571,0757a57570,0a75b7571,0757b5a70,075b7b50,0757a5b70,07a575b71,0d75750
O0
10 20 0f751,707a575750,0a7575b71,507a5a7a50,0d75a71,07b5a7571,0c7b571,0575a75a71,05a75c71,7075757a50,075b75a71,075... | 705770
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077751 | {"train":[{"input":[[0,7,7,7,7,7,7,7,5,1],[0,7,5,5,7,5,7,5,7,0],[0,7,7,5,7,5,7,7,7,1],[0,7,5,5,7,7,5,5,5,0],[0,7,7,7,7,7,5,7,7,1],[0,7,5,5,5,7,7,5,7,1],[0,7,7,7,7,5,5,5,7,1],[0,5,7,5,7,7,5,7,7,1],[0,5,7,7,5,7,7,7,7,1],[0,7,5,7,5,7,5,5,7,0],[0,7,5,7,7,7,5,7,7,1],[0,7,5,7,5,7,5,7,7,1],[0,7,5,7,5,7,5,5,7,1],[0,7,5,7,5,5,7... | 0 | dataset=solve_deform group=deform_line rotate_2 displacement_1 predict=rawpixels earlier_prediction=none image_width=large image_height=medium task_pixels=d | |
SIMONSOLVEV1 'O3T' predict the pixels | I0
13 5 b8i1,b10h1,c1a5f1,e1b3c1,h1c8
O0
13 1 b80a5b3c8
I1
11 19 b0g1,,,,b1b5d1,,,,e1a8b1,,,g1a01,,,,,i13,,
O1
11 1 b0b5a8a03
I2
10 12 a5g1,a1b8d1,,,d1a3b1,,,,,f1b5,,
O2
10 1 a5b8a3b5
I3T
17 3 d8k1,d1d0f1,i1f3
O3T
None | 88888000003333333 | {"train":[{"input":[[8,8,8,1,1,1,1,1,1,1,1,1,1],[1,1,1,0,1,1,1,1,1,1,1,1,1],[1,1,1,1,5,5,1,1,1,1,1,1,1],[1,1,1,1,1,1,3,3,3,1,1,1,1],[1,1,1,1,1,1,1,1,1,8,8,8,8]],"output":[[8,8,8,0,5,5,3,3,3,8,8,8,8]]},{"input":[[0,0,0,1,1,1,1,1,1,1,1],[0,0,0,1,1,1,1,1,1,1,1],[0,0,0,1,1,1,1,1,1,1,1],[0,0,0,1,1,1,1,1,1,1,1],[1,1,1,5,5,5,... | 0 | dataset=solve_span group=intersecting_spans colored_primary_area_extract_horizontal predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=a | |
SIMON-SOLVE-V1 'O4T' predict the raw pixels | I0
14 15 5,,,,,,2a727272e5,72b7a27e5,d2b7e5,5,,,,,
O0
8 3 2a020202,02b0a20,d2b0
I1
14 16 5,,,,,b5b2b72c5,b5727c2c5,b5a27a272c5,b5b2a727c5,b5727b27c5,b52727b2c5,b5c2727c5,b5a72a727c5,5,,
O1
7 8 b2b02,020c2,a20a202,b2a020,020b20,2020b2,c2020,a02a020
I2
10 14 5,,,,,,b5c27a2,b5a7a2a72,b57c272,b57b2b7,5,,,
O2
7 4 c20a2,a0a2... | 2220222
2002222
2220002 | {"train":[{"input":[[5,5,5,5,5,5,5,5,5,5,5,5,5,5],[5,5,5,5,5,5,5,5,5,5,5,5,5,5],[5,5,5,5,5,5,5,5,5,5,5,5,5,5],[5,5,5,5,5,5,5,5,5,5,5,5,5,5],[5,5,5,5,5,5,5,5,5,5,5,5,5,5],[5,5,5,5,5,5,5,5,5,5,5,5,5,5],[2,7,7,2,7,2,7,2,5,5,5,5,5,5],[7,2,7,7,7,2,2,7,5,5,5,5,5,5],[2,2,2,2,2,7,7,7,5,5,5,5,5,5],[5,5,5,5,5,5,5,5,5,5,5,5,5,5],... | 0 | dataset=solve_color group=replace_color_same_palette crop predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c |
End of preview. Expand in Data Studio
Version 1
A combination of multiple datasets.
Datasets: dataset_solve_color.jsonl, dataset_solve_rotate.jsonl, dataset_solve_translate.jsonl.
Version 2
Datasets: dataset_solve_color.jsonl, dataset_solve_rotate.jsonl, dataset_solve_translate.jsonl.
Version 3
Datasets: dataset_solve_color.jsonl, dataset_solve_rotate.jsonl, dataset_solve_translate.jsonl.
Version 4
Added a shared dataset name for all these datasets: SIMON-SOLVE-V1. There may be higher version numbers in the future.
My hypothesis: Having a version number in the dataset name, it may be easier to unlearn incorrect training data.
Datasets: dataset_solve_color.jsonl, dataset_solve_rotate.jsonl, dataset_solve_translate.jsonl.
Version 5
Different random seed.
Version 6
Using SIMON-SOLVE-V1 everywhere. Remove the SIMON-SOLVE-COLOR, SIMON-SOLVE-ROTATE, SIMON-SOLVE-TRANSLATE.
Version 7
Using SIMON-SOLVE-V1 everywhere.
Version 8
Same settings. Different seed as usual.
Version 9
Switching from context length 256 to context length 512.
Increasing the image sizes so the prompt length stays below 512.
dataset_solve_color, image size: 1-13.
dataset_solve_rotate, image size: 1-9.
dataset_solve_translate, image size: 3-9.
Version 10
Same settings. Different seed as usual.
Version 11
Same settings. Different seed as usual.
Version 12
Added 1 more pair to the examples. Now it's 2-4 examples. Previously it was 2-3 examples.
Version 13
Same settings. Different seed as usual.
Version 14
Same settings. Different seed as usual.
Version 15
Same settings. Different seed as usual.
Version 16
Added Predict the output image.
Disabled prediction of rows.
Disabled prediction of height.
Verison 17
Same settings. Different seed as usual.
Using the DatasetGenerator and the DatasetItemListBuilder.
Verison 18
Added datasets.
Datasets:
dataset_solve_color.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
Version 97
Disabled the first half 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_bool.jsonl- disableddataset_solve_color.jsonl- disableddataset_solve_compress.jsonl- disableddataset_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.jsonldataset_symmetry.jsonl
Version 98
Disabled the last half of the datasets.
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.jsonl- disableddataset_solve_erosion.jsonl- disableddataset_solve_fractal.jsonl- disableddataset_solve_grid.jsonl- disableddataset_solve_half.jsonl- disableddataset_solve_mass.jsonl- disableddataset_solve_outline.jsonl- disableddataset_solve_probecolor.jsonl- disableddataset_solve_rotate.jsonl- disableddataset_solve_scale.jsonl- disableddataset_solve_symmetry.jsonl- disableddataset_solve_translate.jsonl- disableddataset_solve_zindex.jsonl- disableddataset_symmetry.jsonl- disabled
Version 99
Disabled the 1/4th 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_bool.jsonl- disableddataset_solve_color.jsonl- disableddataset_solve_compress.jsonl- disableddataset_solve_edge.jsonldataset_solve_erosion.jsonldataset_solve_fractal.jsonldataset_solve_grid.jsonldataset_solve_half.jsonldataset_solve_mass.jsonldataset_solve_outline.jsonldataset_solve_probecolor.jsonl- disableddataset_solve_rotate.jsonl- disableddataset_solve_scale.jsonl- disableddataset_solve_symmetry.jsonl- disableddataset_solve_translate.jsonl- disableddataset_solve_zindex.jsonl- disableddataset_symmetry.jsonl- disabled
Version 100
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.jsonldataset_solve_mask.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 101
Disabled the non solving 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_bool.jsonldataset_solve_color.jsonldataset_solve_compress.jsonldataset_solve_edge.jsonldataset_solve_erosion.jsonldataset_solve_fractal.jsonldataset_solve_grid.jsonldataset_solve_half.jsonldataset_solve_mask.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 102
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_boundingbox.jsonl- addeddataset_solve_color.jsonldataset_solve_compress.jsonldataset_solve_edge.jsonldataset_solve_erosion.jsonldataset_solve_fractal.jsonldataset_solve_grid.jsonldataset_solve_half.jsonldataset_solve_mask.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 103
Different random seed.
Version 104
Disabled the non solving 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_bool.jsonldataset_solve_boundingbox.jsonldataset_solve_color.jsonldataset_solve_compress.jsonldataset_solve_edge.jsonldataset_solve_erosion.jsonldataset_solve_fractal.jsonldataset_solve_grid.jsonldataset_solve_half.jsonldataset_solve_mask.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 105
Major update to dataset_solve_scale.jsonl with scaling down noisy images.
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_boundingbox.jsonldataset_solve_color.jsonldataset_solve_compress.jsonldataset_solve_edge.jsonldataset_solve_erosion.jsonldataset_solve_fractal.jsonldataset_solve_grid.jsonldataset_solve_half.jsonldataset_solve_mask.jsonldataset_solve_mass.jsonldataset_solve_outline.jsonldataset_solve_probecolor.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonl- scale down noisy imagesdataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_solve_zindex.jsonldataset_symmetry.jsonl
Version 106
Different random seed.
Version 107
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_boundingbox.jsonldataset_solve_color.jsonldataset_solve_compress.jsonldataset_solve_edge.jsonldataset_solve_erosion.jsonldataset_solve_fractal.jsonldataset_solve_grid.jsonldataset_solve_half.jsonldataset_solve_mask.jsonldataset_solve_mass.jsonldataset_solve_outline.jsonldataset_solve_probecolor.jsonldataset_solve_ray.jsonl- addeddataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_solve_zindex.jsonldataset_symmetry.jsonl
Version 108
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_boundingbox.jsonldataset_solve_color.jsonldataset_solve_compress.jsonldataset_solve_edge.jsonldataset_solve_erosion.jsonldataset_solve_flip.jsonl- addeddataset_solve_fractal.jsonldataset_solve_grid.jsonldataset_solve_half.jsonldataset_solve_mask.jsonldataset_solve_mass.jsonldataset_solve_outline.jsonldataset_solve_probecolor.jsonldataset_solve_ray.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_solve_zindex.jsonldataset_symmetry.jsonl
Version 109
Different random seed.
Version 110
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_boundingbox.jsonldataset_solve_color.jsonldataset_solve_compress.jsonldataset_solve_edge.jsonldataset_solve_erosion.jsonldataset_solve_flip.jsonldataset_solve_fractal.jsonldataset_solve_grid.jsonldataset_solve_half.jsonldataset_solve_halfplane.jsonl- addeddataset_solve_mask.jsonldataset_solve_mass.jsonldataset_solve_outline.jsonldataset_solve_probecolor.jsonldataset_solve_ray.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_solve_zindex.jsonldataset_symmetry.jsonl
Version 111
Different random seed.
Version 112
Different random seed.
Version 113
Different random seed.
Version 114
Major update to the dataset_solve-mass.jsonl, so it now includes mass_compare_adjacent_rows and mass_compare_adjacent_columns.
Version 115
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_boundingbox.jsonldataset_solve_color.jsonldataset_solve_compress.jsonldataset_solve_edge.jsonldataset_solve_erosion.jsonldataset_solve_flip.jsonldataset_solve_fractal.jsonldataset_solve_gravity.jsonl- addeddataset_solve_grid.jsonldataset_solve_half.jsonldataset_solve_halfplane.jsonldataset_solve_mask.jsonldataset_solve_mass.jsonldataset_solve_outline.jsonldataset_solve_probecolor.jsonldataset_solve_ray.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_solve_zindex.jsonldataset_symmetry.jsonl
Version 116
Hypothesis. What if I train with a smaller dataset, will it converge faster? Reduced the number of rows in this dataset from 300k rows to 10k rows.
Version 117
Interesting, 10k rows seems to work fine with the model training. Picked new random rows.
Version 118
Still going with 10k rows. Picked new random rows.
Version 119
Still going with 10k rows. Picked new random rows.
Version 120
Switched to 20k rows.
Version 121
Still going with 20k rows. Picked new random rows.
Version 122
20k rows.
Added dataset_solve_reverse.jsonl.
Version 123
Doubled the number of rows to 40k rows.
Version 124
Set row count to 100k rows.
Major update to dataset_solve_gravity.jsonl.
Version 125
Row count: 100k rows.
Version 126
Row count: 20k rows.
Only these datasets are enabled:
dataset_solve_bool.jsonl
dataset_solve_boundingbox.jsonl
dataset_solve_color.jsonl
dataset_solve_compress.jsonl
dataset_solve_edge.jsonl
dataset_solve_erosion.jsonl
dataset_solve_flip.jsonl
dataset_solve_fractal.jsonl
dataset_solve_gravity.jsonl
dataset_solve_grid.jsonl
dataset_solve_half.jsonl
dataset_solve_halfplane.jsonl
dataset_solve_mask.jsonl
dataset_solve_mass.jsonl
dataset_solve_outline.jsonl
dataset_solve_probecolor.jsonl
dataset_solve_ray.jsonl
dataset_solve_reverse.jsonl
dataset_solve_rotate.jsonl
dataset_solve_scale.jsonl
dataset_solve_symmetry.jsonl
dataset_solve_translate.jsonl
dataset_solve_zindex.jsonl
Version 127
Row count: 20k rows.
Only these datasets are enabled:
dataset_solve_scale.jsonl
dataset_solve_symmetry.jsonl
dataset_solve_translate.jsonl
dataset_solve_zindex.jsonl
Version 128
Row count: 20k rows.
Only these datasets are enabled:
dataset_solve_probecolor.jsonl
dataset_solve_ray.jsonl
dataset_solve_reverse.jsonl
dataset_solve_rotate.jsonl
Version 129
Row count: 20k rows.
Only these datasets are enabled:
dataset_solve_gravity.jsonl
dataset_solve_grid.jsonl
dataset_solve_half.jsonl
dataset_solve_halfplane.jsonl
dataset_solve_mask.jsonl
dataset_solve_mass.jsonl
dataset_solve_outline.jsonl
Version 130
Row count: 20k rows.
Only these datasets are enabled:
dataset_solve_bool.jsonl
dataset_solve_boundingbox.jsonl
dataset_solve_color.jsonl
dataset_solve_compress.jsonl
dataset_solve_edge.jsonl
dataset_solve_erosion.jsonl
dataset_solve_flip.jsonl
dataset_solve_fractal.jsonl
Version 131
Switched back to 300k rows.
Enabled all the datasets.
Version 132
Random seed.
Version 133
Removed the rows that are longer than what can be fitted inside a 512 context length.
Version 134
Random seed.
Version 135
Random seed.
Version 136
Major update to the dataset_solve_gravity.jsonl file.
Version 137
Added dataset dataset_solve_skew.jsonl.
Version 138
Disabled several datasets.
# 'dataset_cellular_automaton.jsonl',
# 'dataset_dilation.jsonl',
# 'dataset_erosion.jsonl',
# 'dataset_histogram.jsonl',
# 'dataset_image.jsonl',
# 'dataset_image_pair.jsonl',
# 'dataset_mass.jsonl',
# 'dataset_scale.jsonl',
# 'dataset_shape.jsonl',
# 'dataset_solve_bool.jsonl',
'dataset_solve_boundingbox.jsonl',
'dataset_solve_color.jsonl',
'dataset_solve_compress.jsonl',
'dataset_solve_edge.jsonl',
'dataset_solve_erosion.jsonl',
'dataset_solve_flip.jsonl',
'dataset_solve_fractal.jsonl',
'dataset_solve_gravity.jsonl',
'dataset_solve_grid.jsonl',
'dataset_solve_half.jsonl',
# 'dataset_solve_halfplane.jsonl',
'dataset_solve_mask.jsonl',
'dataset_solve_mass.jsonl',
'dataset_solve_outline.jsonl',
'dataset_solve_probecolor.jsonl',
# 'dataset_solve_ray.jsonl',
# 'dataset_solve_reverse.jsonl',
'dataset_solve_rotate.jsonl',
'dataset_solve_scale.jsonl',
# 'dataset_solve_skew.jsonl',
'dataset_solve_symmetry.jsonl',
'dataset_solve_translate.jsonl',
'dataset_solve_zindex.jsonl',
# 'dataset_symmetry.jsonl',
Version 139
Disabled several datasets.
'dataset_cellular_automaton.jsonl',
'dataset_dilation.jsonl',
'dataset_erosion.jsonl',
'dataset_histogram.jsonl',
'dataset_image.jsonl',
'dataset_image_pair.jsonl',
'dataset_mass.jsonl',
'dataset_scale.jsonl',
'dataset_shape.jsonl',
'dataset_solve_bool.jsonl',
# 'dataset_solve_boundingbox.jsonl',
# 'dataset_solve_color.jsonl',
# 'dataset_solve_compress.jsonl',
# 'dataset_solve_edge.jsonl',
# 'dataset_solve_erosion.jsonl',
# 'dataset_solve_flip.jsonl',
# 'dataset_solve_fractal.jsonl',
# 'dataset_solve_gravity.jsonl',
# 'dataset_solve_grid.jsonl',
# 'dataset_solve_half.jsonl',
'dataset_solve_halfplane.jsonl',
# 'dataset_solve_mask.jsonl',
# 'dataset_solve_mass.jsonl',
# 'dataset_solve_outline.jsonl',
# 'dataset_solve_probecolor.jsonl',
'dataset_solve_ray.jsonl',
'dataset_solve_reverse.jsonl',
# 'dataset_solve_rotate.jsonl',
# 'dataset_solve_scale.jsonl',
'dataset_solve_skew.jsonl',
# 'dataset_solve_symmetry.jsonl',
# 'dataset_solve_translate.jsonl',
# 'dataset_solve_zindex.jsonl',
'dataset_symmetry.jsonl',
Version 140
Enabled all datasets.
Added new dataset: dataset_solve_cross.jsonl.
Version 141
Switched to 30k rows.
Disabled several datasets.
# 'dataset_cellular_automaton.jsonl',
# 'dataset_dilation.jsonl',
# 'dataset_erosion.jsonl',
# 'dataset_histogram.jsonl',
# 'dataset_image.jsonl',
# 'dataset_image_pair.jsonl',
# 'dataset_mass.jsonl',
# 'dataset_scale.jsonl',
# 'dataset_shape.jsonl',
# 'dataset_solve_bool.jsonl',
'dataset_solve_boundingbox.jsonl',
'dataset_solve_color.jsonl',
'dataset_solve_compress.jsonl',
# 'dataset_solve_cross.jsonl',
'dataset_solve_edge.jsonl',
'dataset_solve_erosion.jsonl',
'dataset_solve_flip.jsonl',
'dataset_solve_fractal.jsonl',
# 'dataset_solve_gravity.jsonl',
'dataset_solve_grid.jsonl',
'dataset_solve_half.jsonl',
# 'dataset_solve_halfplane.jsonl',
'dataset_solve_mask.jsonl',
'dataset_solve_mass.jsonl',
'dataset_solve_outline.jsonl',
'dataset_solve_probecolor.jsonl',
'dataset_solve_ray.jsonl',
# 'dataset_solve_reverse.jsonl',
'dataset_solve_rotate.jsonl',
'dataset_solve_scale.jsonl',
'dataset_solve_skew.jsonl',
'dataset_solve_symmetry.jsonl',
'dataset_solve_translate.jsonl',
# 'dataset_solve_zindex.jsonl',
# 'dataset_symmetry.jsonl',
Version 142
Switched to 300k rows.
Enabled all datasets.
Switched from 512 context to 1024 context.
Version 143
Bigger images in dataset_solve_cross.jsonl and in dataset_solve_mass.jsonl.
Version 144
Major update to dataset_solve_symmetry.jsonl.
Version 145
Added dataset_solve_span.jsonl.
Version 146
Extended dataset_solve_span.jsonl with generate_task_with_template_lines.
Version 147
Extended dataset_solve_span.jsonl with generate_task_with_alternate.
Version 148
Added dataset_solve_count.jsonl.
Version 149
Randomized.
Version 150
Upgraded context length for several datasets from 512 to 1024.
Version 151
Randomized.
Version 152
Randomized.
Version 153
Extended dataset_solve_mask.jsonl with generate_task_repair_rectangle_and_crop.
Version 154
Extended dataset_solve_color.jsonl with generate_task_replace_color.
Version 155
Major update to datasets in the range from dataset_solve_axxx.jsonl to dataset_solve_mask.jsonl.
Now there is an earlier prediction for the output that is to be predicted. It may contain a hint, or it may be garbage that is to be ignored.
Version 156
Only 2000 rows.
Only these datasets. 'dataset_cellular_automaton.jsonl', 'dataset_dilation.jsonl', 'dataset_erosion.jsonl', 'dataset_histogram.jsonl', 'dataset_image.jsonl', 'dataset_image_pair.jsonl', 'dataset_mass.jsonl', 'dataset_scale.jsonl', 'dataset_shape.jsonl', 'dataset_symmetry.jsonl',
Version 157
Only these datasets.
- 'dataset_solve_bool.jsonl',
- 'dataset_solve_boundingbox.jsonl',
- 'dataset_solve_color.jsonl',
- 'dataset_solve_compress.jsonl',
- 'dataset_solve_count.jsonl',
- 'dataset_solve_cross.jsonl',
- 'dataset_solve_edge.jsonl',
- 'dataset_solve_erosion.jsonl',
- 'dataset_solve_flip.jsonl',
- 'dataset_solve_fractal.jsonl',
- 'dataset_solve_gravity.jsonl',
- 'dataset_solve_grid.jsonl',
- 'dataset_solve_half.jsonl',
- 'dataset_solve_halfplane.jsonl',
- 'dataset_solve_mask.jsonl',
- 'dataset_solve_mass.jsonl',
- 'dataset_solve_outline.jsonl',
- 'dataset_solve_probecolor.jsonl',
- 'dataset_solve_ray.jsonl',
- 'dataset_solve_reverse.jsonl',
- 'dataset_solve_rotate.jsonl',
- 'dataset_solve_scale.jsonl',
- 'dataset_solve_span.jsonl',
- 'dataset_solve_skew.jsonl',
- 'dataset_solve_symmetry.jsonl',
- 'dataset_solve_translate.jsonl',
- 'dataset_solve_zindex.jsonl',
Version 158
Only these datasets.
dataset_solve_boundingbox.jsonldataset_solve_rectangle.jsonl
Versin 159
Enabled all the _solve_ datasets.
Version 160
Regenerated all the _solve_ datasets with new seed.
Version 161
Regenerated all the _solve_ datasets with new seed.
Version 162
Replaced RLE compressed response with raw pixel response.
Version 163
Added more generators
- DatasetSolveCount
- DatasetSolveCross
- DatasetSolveEdge
- DatasetSolveErosion
- DatasetSolveFlip
- DatasetSolveFractal
Version 164
Increased row count from 1000 to 2000.
Version 165
Added more generators.
Version 166
Added more generators.
Version 167
Added more generators.
Version 168
Added more generators.
Version 169
Generated data.
Version 170
Generated data.
Version 171
Generated data.
Increased output context length from 256 to 512.
Version 172
Generated data.
Version 173
Generated data.
Version 174
Generated data.
Version 175
Generated data.
Version 176
Generated data.
Version 177
Increased the number of rows from 2000 to 4000.
Generated data.
Version 178
Generated data.
Version 179
Generated data.
Version 180
Generated data.
Version 181
Generated data.
Version 182
Generated data.
Version 183
Generated data.
Version 184
Generated data.
Version 185
Generated data.
Version 186
Generated data.
Version 187
Generated data.
Version 188
Generated data.
Version 189
Added DatasetSolveDeform dataset generator.
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